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Aim/Purpose: The aim of this paper is to present a systematic review of studies conducted on mobile-assisted task-based learning between 2013 and 2022. The primary objectives of the review are to elicit educational and learning contexts, research areas and foci, research trends, methodologies, data collection techniques, mobile technology used, learning outcomes, and issues in mobile-assisted task-based learning. Background: Conventional task-based learning has evolved over the last decade with numerous researchers incorporating various mobile technologies and devices to enhance the task-based approach. This paper presents a systematic review of taskbased learning, specifically with the adoption of the mobile-assisted method in delivering tasks. Methodology: To provide viable discussions and maintain the accuracy of the review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (Liberati et al., 2009) protocol items were adhered to. The papers for review were sourced from ISI Web of Science within the last decade from 2013 to 2022. The outcome of screening based on the inclusive and exclusive criteria as well as from the backward search resulted in 16 papers out of 276 papers that were eventually reviewed and analyzed. Contribution: This study is of significant value, especially during the post-pandemic period, as mobile task-based learning provides for flexibility and portability, and to date, no systematic reviews have been conducted specifically on mobile-assisted taskbased learning in the last decade. This review looked at the study characteristics, educational and learning contexts, research areas and research foci, research trends, methodologies, data collection techniques, mobile technology used, learning outcomes, and issues in the papers on mobile-assisted task-based learning. In addition to attributing to the existing body of knowledge, this paper provides insights for researchers, educators, as well as mobile technology developers for consideration. Findings: Major Findings are that all papers are on language learning, with English as a foreign language being the most frequently researched area, and most of the studies are conducted in higher education contexts. Informal learning has become a critical learning setting, and language proficiency and participant perceptions are the two major foci. In addition, no studies have been found to combine mobile learning and social media platforms together to promote language acquisition. Recommendations for Practitioners: This systematic review provides practitioners with an overview of mobile technologies that have been found to be effective in the task-based approach for different educational levels and language skills. These effective mobile technologies could be considered for adoption in their respective contexts. Recommendations for Researchers: For researchers, the time frame for a systematic review could be expanded to increase the number of papers for review. In addition, to ensure the comprehensiveness of findings, big data analysis software could be employed to analyze the research foci, research trends, and research shifts. Additional databases could be added for more extensive review. Impact on Society: The research Findings of this paper can provide benefits for researchers, educators, and mobile technology developers for them to collaboratively promote the development of mobile-assisted task-based learning. Future Research: Future researchers could conduct in-depth empirical studies on mobile seamless learning, research with tasks that are designed based on learners' needs analysis and explore cognitive load as well as learning anxiety which are not extensively researched. [ABSTRACT FROM AUTHOR]

Aim/Purpose This paper aims to investigate and understand the intentions of management undergraduate students in Hangzhou, China, regarding the adoption of Artificial Intelligence (AI) technologies in their education. It addresses the need to explore the factors influencing AI adoption in the educational context and contribute to the ongoing discourse on technology integration in higher education. Background The paper addresses the problem by conducting a comprehensive investigation into the perceptions of management undergraduate students in Hangzhou, China, regarding the adoption of AI in education. The study explores various factors, including Perceived Relative Advantage and Trialability, to shed light on the nuanced dynamics influencing AI technology adoption in the context of higher education. Methodology The study employs a quantitative research approach, utilizing the Confirmatory Tetrad Analysis (CTA) and Partial Least Squares Structural Equation Modeling (PLS-SEM) methodologies. The research sample consists of management undergraduate students in Hangzhou, China, and the methods include data screening, principal component analysis, confirmatory tetrad analysis, and evaluation of the measurement and structural models. We used a random sampling method to distribute 420 online, self-administered questionnaires among management students aged 18 to 21 at universities in Hangzhou. Contribution This paper explores how management students in Hangzhou, China, perceive the adoption of AI in education. It identifies factors that influence AI adoption intention. Furthermore, the study emphasizes the complex nature of technology adoption in the changing educational technology landscape. It offers a thorough comprehension of this process while challenging and expanding the existing literature by revealing the insignificant impacts of certain factors. This highlights the need for an approach to AI integration in education that is context-specific and culturally sensitive. Findings The study highlights students' positive attitudes toward integrating AI in educational settings. Perceived relative advantage and trialability were found to impact AI adoption intention significantly. AI adoption is influenced by social and cultural contexts rather than factors like compatibility, complexity, and observability. Peer influence, instructor guidance, and the university environment were identified as pivotal in shaping students' attitudes toward AI technologies. Recommendations for Practitioners To promote the use of AI among management students in Hangzhou, practitioners should highlight the benefits and the ease of testing these technologies. It is essential to create communication strategies tailored to the student's needs, consider cultural differences, and utilize the influence of peers and instructors. Establishing a supportive environment within the university that encourages innovation through policies and regulations is vital. Additionally, it is recommended that students' attitudes towards AI be monitored constantly, and strategies adjusted accordingly to keep up with the changing technological landscape. Recommendations for Researchers Researchers should conduct cross-disciplinary and cross-cultural studies with qualitative and longitudinal research designs to understand factors affecting AI adoption in education. It is essential to investigate compatibility, complexity, observability, individual attitudes, prior experience, and the evolving role of peers and instructors. Impact on Society The study's insights into the positive attitudes of management students in Hangzhou, China, toward AI adoption in education have broader societal implications. It reflects a readiness for transformative educational experiences in a region known for technological advancements. However, the study also underscores the importance of cautious integration, considering associated risks like data privacy and biases to ensure equitable benefits and uphold educational values. Future Research Future research should delve into AI adoption in various academic disciplines and regions, employing longitudinal designs and qualitative methods to understand cultural influences and the roles of peers and instructors. Investigating moderating factors influencing specific factors' relationship with AI adoption intention is essential for a comprehensive understanding. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study aimed to evaluate the extant research on data science education (DSE) to identify the existing gaps, opportunities, and challenges, and make recommendations for current and future DSE. Background There has been an increase in the number of data science programs especially because of the increased appreciation of data as a multidisciplinary strategic resource. This has resulted in a greater need for skills in data science to extract meaningful insights from data. However, the data science programs are not enough to meet the demand for data science skills. While there is growth in data science programs, they appear more as a rebranding of existing engineering, computer science, mathematics, and statistics programs. Methodology A scoping review was adopted for the period 2010-2021 using six scholarly multidisciplinary databases: Google Scholar, IEEE Xplore, ACM Digital Library, ScienceDirect, Scopus, and the AIS Basket of eight journals. The study was narrowed down to 91 research articles and adopted a classification coding framework and correlation analysis for analysis. Contribution We theoretically contribute to the growing body of knowledge about the need to scale up data science through multidisciplinary pedagogies and disciplines as the demand grows. This paves the way for future research to understand which programs can provide current and future data scientists the skills and competencies relevant to societal needs. Findings The key results revealed the limited emphasis on DSE, especially in non-STEM (Science, Technology, Engineering, and Mathematics) disciplines. In addition, the results identified the need to find a suitable pedagogy or a set of pedagogies because of the multidisciplinary nature of DSE. Further, there is currently no existing framework to guide the design and development of DSE at various education levels, leading to sometimes inadequate programs. The study also noted the importance of various stakeholders who can contribute towards DSE and thus create opportunities in the DSE ecosystem. Most of the research studies reviewed were case studies that presented more STEM programs as compared to non-STEM. Recommendations for Practitioners We recommend CRoss Industry Standard Process for Data Mining (CRISPDM) as a framework to adopt collaborative pedagogies to teach data science. This research implies that it is important for academia, policymakers, and data science content developers to work closely with organizations to understand their needs. Recommendations for Researchers We recommend future research into programs that can provide current and future data scientists the skills and competencies relevant to societal needs and how interdisciplinarity within these programs can be integrated. Impact on Society Data science expertise is essential for tackling societal issues and generating beneficial effects. The main problem is that data is diverse and always changing, necessitating ongoing (up)skilling. Academic institutions must therefore stay current with new advances, changing data, and organizational requirements. Industry experts might share views based on their practical knowledge. The DSE ecosystem can be shaped by collaborating with numerous stakeholders and being aware of each stakeholder's function in order to advance data science internationally. Future Research The study found that there are a number of research opportunities that can be explored to improve the implementation of DSE, for instance, how can CRISPDM be integrated into collaborative pedagogies to provide a fully comprehensive data science curriculum?. [ABSTRACT FROM AUTHOR]

Aim/Purpose The main goal of this systematic literature review was to look for studies that provide information relevant to business intelligence's (BI) framework development and implementation in the tourism sector. This paper tries to classify the tourism sectors where BI is implemented, group various BI functionalities, and identify common problems encountered by previous research. Background There has been an increased need for BI implementation to support decisionmaking in the tourism sector. Tourism stakeholders such as management of destination, accommodation, transportation, and public administration need a guideline to understand functional requirements before implementation. This paper addresses the problem by comprehensively reviewing the functionalities and issues that need to be considered based on previous business intelligence framework development and implementation in tourism sectors. Contribution The paper could be of interest to relevant stakeholders in the tourism industry because it provides an overview of the capabilities and limitations of business intelligence for tourism. To our knowledge, this is the first study to identify and classify the BI functionalities needed for tourism sectors and implementation issues related to organizations, people, and technologies that need to be considered. Findings BI functionalities identified in this study include basic functions such as data analysis, reports, dashboards, data visualization, performance metrics, and key performance indicator, and advanced functions such as predictive analytics, trend indicators, strategic planning tools, profitability analysis, benchmarking, budgeting, and forecasting. When implementing BI, the issues that need to be considered include organizational, people and process, and technological issues. Recommendations for Practitioners As data is a major issue in BI implementation, tourism stakeholders, especially in developing countries, may need to build a tourism data center or centralized coordination regulated by the government. They can implement basic functions first before implementing more advanced features later. Recommendations for Researchers We recommend further studying the BI implementation barriers by employing a perspective of an adoption framework such as the technology, organization, and environment (TOE) framework. Impact on Society This research has a potential impact on improving the tourism industry's performance by providing insight to stakeholders about what is needed to help them make more accurate decisions using business intelligence. Future Research Future research may involve collaboration between practitioners and academics in developing various BI architectures specific to each tourism industry, such as destination management, hospitality, or transportation. [ABSTRACT FROM AUTHOR]

Aim/Purpose Systematic literature reviews seek to locate all studies that contain material of relevance to a research question and to synthesize the relevant outcomes of those studies. The primary aim of this paper was to synthesize both research and practice reports on micro-credentials (MCRs). Background There has been an increase in reports and research on the plausibility of MCRs to support dynamic human skills development for an increasingly impatient and rapidly changing digital world. The integration of fast-paced emerging technologies and digitalization necessitate alternative learning paradigms. MCRs offer time, financial, and space flexibility and can be stacked into a larger qualification, thereby allowing for a broader range of transdisciplinary competencies within a qualification. However, MCRs often lack the academic rigor required for accreditation within existing disciplines. Methodology The study followed the PRISMA framework (Preferred Reporting Items for Systematic Reviews and Meta Analyses), which offers a rigorous method to enhance reporting quality. The study used both academic research and practice reports. Contribution The paper makes a theoretical contribution to the discourse about the need for innovation within existing educational paradigms for continued relevance in a changing world. It also contributes to the debate on the role of MCRs in bridging the gap between practice and academia despite the growing difference between their interests, and the role that MCRs play in the social-economic plans of countries. Findings The key findings are that investments in MCRs are mainly in the Science, Technology, Engineering and Mathematics (STEM) and Education sectors, and have taken place mainly in high-income countries and regions - contexts that particularly value practice-accredited MCRs. Low-income countries, by contrast, remain traditional and insist on MCRs that are formally accredited by a recognized academic institution. This contributes to a widening skills gap between low- and high-income countries or regions, which results in greater global disparities. There is also a growing divide between academia and practice concerning their interest in MCRs (a reflection of the rigor versus relevance debate), which partially explains why many global and larger organizations have gone on to create their own learning institutions. Recommendations for Practitioners We recommend that educational mechanisms consider the critical importance of MCRs as part of innovative efforts for life-wide (different sectors) and lifelong (same sector) learning, especially in low-income countries. MCRs provide dynamic mechanisms to fill skills gaps in an increasing ruthless international battle for talent. Recommendations for Researchers We recommend focused research into skills and career pathways using MCRs while at the same time remaining responsive to transdisciplinary efforts and sensitive to global and local changes within any sector. Impact on Society Work and society have transformed over time, and more so in the new digital age, yet academia has been slow in adapting to the changes, forcing organizations to create their own learning institutions or to use MCRs to fill the skills gap. The purpose of education goes beyond preparing individuals for work, extending further to creating an environment where individuals and governments seek their own social and economic outcomes. MCRs provide a flexible means for co-creation between individuals, education, organizations, and government that could stem global rising unemployment, social exclusion, and redundancy. Future Research Future research should focus on the co-creation of MCRs between practitioners and academia. [ABSTRACT FROM AUTHOR]

Aim/Purpose The aim of this paper is to examine the influences of KM-centred strategies on innovation capability among Malaysian R&D firms. It also deepens understanding of the pathways and conditions to improve the innovation capability by assessing the mediating role of both KM practices, i.e., knowledge exploration practices, and knowledge exploitation practices. Background Knowledge is the main organisational resource that is able to generate a competitive advantage through innovation. It is a critical success driver for both knowledge exploration and exploitation for firms to achieve sustainable competitive advantages. Methodology A total of 320 questionnaires were disseminated to Malaysian R&D firms and the response rate was 47 percent. The paper utilised structural equation modelling and cross-sectional design to test hypotheses in the proposed research model. Contribution This paper provides useful information and valuable initiatives in exploring the mediating role of knowledge exploration and knowledge exploitation in influencing innovation in Malaysian R&D firms. It helps R&D firms to frame their KM activities to drive the capability of creating and retaining a greater value onto their core business competencies. Findings The findings indicate that all three KM-centred strategies (leadership, HR practices, and culture) have a direct effect on innovation. In addition, KM exploration practices mediate HR practices on innovation while KM exploitation mediates both leadership and HR practices on innovation. Recommendations for Practitioners This paper serves as a guide for R&D managers to determine the gaps and appropriate actions to collectively achieve the desired R&D results and national innovation. It helps R&D firms frame their KM activities to enhance the capability of creating and retaining a greater value to their core business competencies. Recommendations for Researchers This paper contributes significantly to knowledge management and innovation research by establishing new associations among KM-centred strategies, i.e., leadership, HR practices, and culture, both KM practices (knowledge exploration and knowledge exploitation), and innovation. Impact on Society This paper highlights the important role of knowledge leaders and the practice of effective HR practices to help R&D firms to create a positive environment that facilitates both knowledge exploration and knowledge exploitation in enhancing innovation capabilities. Future Research Further research could use a longitudinal sample to examine relationships of causality, offering a more comprehensive view of the effect of KM factors on innovation over the long term. Future research should also try to incorporate information from new external sources, such as customers or suppliers. [ABSTRACT FROM AUTHOR]

Aim/Purpose: The exorbitant cost of traditional textbooks, which particularly impact lowincome, underrepresented minority groups, can be a barrier to student success in higher education that contributes to educational inequities. The aim of this multi-methodology study, conducted at a mid-Atlantic minority-serving institution that serves primarily first-generation and lower-income learners, is to explore the impact of, and student satisfaction with, a one-price persemester unlimited e-book subscription service and digital learning solution that includes a number of embedded interactive features, adaptive student learning activities, and learning outcome assessments. In addition, the paper is purposed to inform individuals in higher education so that they can make knowledgeable decisions when considering various book acquisition options. Background: A mid-Atlantic minority-serving institution becomes an early adopter of a one-price per semester unlimited e-book and interactive digital learning subscription service. Following adoption, a quantitative assessment regime was conducted to inform the institution. Methodology: Pass-fail rates for selected courses were compared before and following implementation and cost savings estimates in U.S. dollars were generated in collaboration with the bookstore and publisher. Additionally, student satisfaction and perceived learning efficacy survey were created and distributed. Contribution: This paper contributes significantly to the literature as it includes a population that is frequently neglected in studies that primarily are concentrated at traditionally white institutions (TWIs) with very low enrollments of Black students. Findings: A positive increase in course pass rates was found. Most students expressed having been concerned about paying for books in prior semesters, that college textbooks cost too much, have struggled to purchase textbooks in the past, believe that the subscription plan helps students save money, and would like to see widespread adoption. With respect to the digital learning solution, the students found it easy to use, appreciated the integrated interactive features, believed the system helped them to learn more and stay on schedule, and were largely in agreement that they would like it adopted in more of their classes. When correlations, crosstabulations, and Chi-Square tests were conducted, students who indicated having the greatest financial concerns were stronger in their satisfaction with the unlimited e-book subscription plan and most likely to want to see a similar plan adopted in all of their courses. Recommendations for Practitioners: To better meet the needs of students, remove barriers to student success, and improve student learning outcomes, universities must play a role in delivering affordable student-centered course content. Recommendations for Researchers: E-book subscription services are a relatively new model and one that requires extensive exploration in order to examine the impact on student learning outcomes as well as perceived learner satisfaction. Impact on Society: The implications of this study are that the adoption of an unlimited e-book subscription that includes access to high-quality digital learning resources positions institutions of higher education well in the instance of a global pandemic or other catastrophic events that causes the sudden pivot to remote instruction. Additionally, such a system has both a positive impact on student achievement as well as perceived favorably by students. Further, the adoption of a low-cost subscription option is particularly beneficial to students who struggle financially. Future Research: It is the goal of the authors to partner with scholars at a broad range of institutions to further extend this line of inquiry. [ABSTRACT FROM AUTHOR]

Aim/Purpose This article seeks answers to the following: (1) What describes a 'sense of belonging', inclusiveness, and well-being for students? (2) Which aspects of blended learning, synchronous and asynchronous, promote students' 'sense of belonging'? and (3) What are the state-of-the-art best practices for creating inclusive curriculum design for blended learning?. Background For university students, experiencing a strong 'sense of belonging' with their learning communities is a reliable predictor of academic adjustment and program success. The disruption to usual teaching modes caused by the COVID pandemic has diminished opportunities for social engagement among students and their teachers, intensifying the need to encourage students' belongingness as being ever more important. Methodology This article surveys the literature, pre- and post-COVID, using two complementary search techniques: (1) a systematic scoping review, a top-down strategy, and (2) snowballing, a bottom-up approach, seeking the answers to the three research questions above. Contribution The synthesis presented in the paper provides answers to these questions influenced, in part, by the Community of Inquiry framework and the Universal Design for Learning guidelines. Further, based on our findings from this investigation we offer a set of salient attributes of best practices in designing curriculum for blended learning environments, that is inclusive and fosters a sense of belonging for higher education students. Findings We discovered that belongingness is different for various cohorts. Further, many interventions to improve student wellbeing, and learning experiences on and offline, were built around social, teaching, and cognitive presences. Additionally, our investigation found that blended learning, regardless of the proportion of online versus offline instruction, was generally a positive influence on academic outcomes and student learning. Recommendations for Practitioners The set of attributes presented offers practical and helpful approaches to improve curriculum design to promote higher education students' sense of belonging. Recommendations for Researchers We highlight the lack of specificity in the literature regarding synchronous versus asynchronous learning pedagogy that promotes inclusiveness and a sense of belonging, and we detail our plans for future work will attempt to address this omission. Impact on Society As a result of the COVID pandemic, many higher education institutions made a sudden and rapid transition to online learning exclusively. As institutions start the move back to more traditional modes of learning, this paper highlights the considerations to be made in using blended learning environments. Future Research Our plans include seeking student and academic advice and feedback on approaches that foster a sense of belonging for higher education students. [ABSTRACT FROM AUTHOR]

Aim/Purpose The aim of this study is to identify Critical Success Factors (CSF) of Business Intelligence (BI) and provide a framework to classify CSF into layers or perspectives using an enterprise architecture approach, then rank CSF within each perspective and evaluate the importance of each perspective at different BI maturity levels as well. Background Although the implementation of the BI project has a significant impact on creating analytical and competitive capabilities, the lack of evaluation of CSF holistically is still a challenge. Moreover, the BI maturity level of the organization has not been considered in the BI implementation project. Identifying BI critical success factors and their importance can help the project team to move to a higher maturity level in the organization. Methodology First, a list of distinct CSF is identified through a literature review. Second, a framework is provided for categorizing these CSF using enterprise architecture. Interviewing is the research method used to evaluate the importance of CSF and framework layers with two questionnaires among experts. The first questionnaire was done by Analytical Hierarchy Process (AHP), a quantitative method of decision-making to calculate the weight of the CSF according to the importance of CSF in each of the framework layers. The second one was conducted to evaluate framework layers at different BI maturity levels using a Likert scale. Contribution This paper contributes to the implementation of BI projects by identifying a comprehensive list of CSF in the form of a holistic multi-layered framework and ranking the importance of CSF and layers at BI maturity levels. Findings The most important CSF in BI implementation projects include senior management support, process identification, data quality, analytics quality, hardware quality, security standards, scope management, documentation, project team skills, and customer needs transformation, which received the highest scores in framework layers. In addition, it was observed that as the organization moves to higher levels of maturity, the average importance of strategic business and security perspectives or layers increases. But the average importance of data, applications, infrastructure, and network, the project management layers in the proposed framework is the same regardless of the level of business intelligence maturity. Recommendations for Practitioners The results of this paper can be used by academicians and practitioners to improve BI project implementation through understanding a comprehensive list of CSF and their importance. This awareness causes us to focus on the most important CSF and have better planning to reach higher levels of maturity according to the maturity level of the organization. Future Research For future research, the interaction of critical success factors of business intelligence and framework layers can be examined with different methods. [ABSTRACT FROM AUTHOR]

Aim/Purpose The aim of this study was to identify the critical predictors affecting project desertion in Blockchain projects. Background Blockchain is one of the innovations that disrupt a broad range of industries and has attracted the interest of software developers. However, despite being an open-source software (OSS) project, the maintenance of the project ultimately relies on small core developers, and it is still uncertain whether the technology will continue to attract a sufficient number of developers. Methodology The study utilized a systematic literature review (SLR) and an expert review method. The SLR identified 21 primary studies related to project desertion published in Scopus databases from the year 2010 to 2020. Then, Blockchain experts were asked to rank the importance of the identified predictors of project desertion in Blockchain. Contribution A theoretical framework was constructed based on Social Cognitive Theory (SCT) constructs; personal, behavior, and environmental predictors and related theories. Findings The findings indicate that the 12 predictors affecting Blockchain project desertion identified through SLR were important and significant. Recommendations for Practitioners The framework proposed in this paper can be used by the Blockchain development community as a basis to identify developers who might have the tendency to abandon a Blockchain project. Recommendations for Researchers The results show that some predictors, such as code testing tasks, contributed code decoupling, system integration and expert heterogeneity that are not covered in the existing developer turnover models can be integrated into future research efforts. Impact on Society This study highlights how an individual's design choices could determine the success or failure of IS projects. It could direct Blockchain crypto-currency investors and cyber-security managers to pay attention to the developer's behavior while ensuring secure investments, especially for crypto-currencies projects. Future Research Future research may employ additional methods, such as a meta-analysis, to provide a comprehensive picture of the main predictors that can predict project desertion in Blockchain. [ABSTRACT FROM AUTHOR]

Aim/Purpose: This study carried out a systematic review of the literature on artificial intelligence (AI) in English language teaching (ELT). The objective was to delineate the current research progress in the field and to further understand the challenges. Background: The study analyzed articles published between 2015 and 2021. Methodology: The qualitative research method was employed. Five steps were taken to steer the review. 200 articles were scrutinized; 64 were retained. Contribution: Prior research on AI in ELT has not investigated how the literature is progressing or what areas of AI are being covered. Without a holistic picture, some important research Findings could be missed. Understanding how studies on AI in ELT are designed and implemented will contribute to a greater understanding of the existing state of research. Findings: Findings show that there is a promising future for AI in ELT. AI in ELT yielded positive results in terms of optimizing the English language skills, translation, assessment, recognition, attitude, satisfaction, etc. It was also found out that more and more articles on the topic are being published; the mixed research method is the most commonly used, higher education level is the most sampled, students as participants are the most sampled, and most studies developed novel AI-based systems. Various AI approaches have been identified in the reviewed studies, including machine learning, neural network, support vector machine, genetic algorithms, deep learning, decision tree, expert system, natural language processing, data mining, cloud computing, and edge computing. However, AI in ELT is still in its infancy, where little research has been conducted and gaps in the literature are still present, especially in terms of inherent issues related to body language, gestures, expressions, emotions, translation, lack of elaborate description of teaching material used for learning driven by AI, uncertainties and vagueness with regards to what can be considered under the realm of AI, and most authors being outside of the ELT discipline. Recommendations for Practitioners: This literature review is likely to provide practitioners with an overview of the current adopted technology, research method, instruments and/or tools, educational level, language skill, and the effects reported by the AI-based studies for designing effective systems for the use of AI in their ELT classrooms. Recommendations for Researchers: Researchers need to conduct research on AI in ELT along with a detailed indepth description of the methodology, research design, and the proposed systems used to achieve AI in ELT. Furthermore, it is recommended that researchers explore the efficiency of AI-based systems used in previous research and ensure their relevance and functionality. They are also required to provide indepth analysis of the challenges inherent to systems that have been highlighted in the literature, which will maximize the potentials of these AI-based technologies. Impact on Society: The Findings of this paper can provide visualization of research Findings that could particularly benefit researchers, educators, and AI specialists who are involved in the study of the applications of AI in ELT. Future Research: Future AI research needs to seriously include more detailed descriptions of the method in further research. [ABSTRACT FROM AUTHOR]

Aim/Purpose: This study attempts to provide a thorough review on online English Language Teaching (ELT) research in Indonesia during the COVID-19 pandemic, with the aim of presenting best practices of online ELT classes for the future blended or hybrid learning scenario. To operationalize the "best practices" of online learning, the Community of Inquiry framework was used as the guiding perspective. Background: There is a dearth of research employing a systematic review of English Language Teaching ("ELT") practices in Indonesia carried out during the pandemic, with a view of synthesizing such practices. Such a review is deemed essential in order to provide a comprehensive description of good practices in online English classes, such as in terms of integrating technology into the ELT virtual classes, taking advantage of the experience gained from approximately more than two years of Emergency Remote Learning in the country. Methodology: This study employed the Research Review methodology, with PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) 2020 to guide the process. Database (Google Scholar and Scopus) search was conducted to find research articles in English on ELT during the pandemic in Indonesia, excluding those that are conceptual in nature. The final list of 94 articles was then coded using the categories in the Community of Inquiry ("CoI") framework, namely, Teaching, Cognitive, and Social Presence. Inter-rater reliability was computed to assess the risk of bias of the two reviewers. The resulting data, in the form of pieces of "evidence" of the CoI categories, were tabulated and described. Contribution: This research has contributed to providing a synthesis of online ELT teaching practice in Indonesia during the pandemic, specifically in describing the way teachers enacted the Teaching, Cognitive, and Social Presence online through the use of technology. This paper also describes how such deployment of technology should be accompanied by a selective choice of activities and explicit guidance from teachers, as well as teachers' supportive attitude. Consequently, this study is probably among the first to carry out a systematic review of emergency online ELT practice during the pandemic from the CoI perspective, addressing a methodological gap of extant online ELT systematic review studies. Findings: The results show that Teaching Presence constituted the highest number of pieces of evidence, with a caveat that the application of technology should be combined with clear instruction and task requirements. Next, Cognitive Presence needs to be fostered through activities that promote problem solving and critical thinking, such as online discussions, problem- or project-based learning, and self-reflection. Lastly, teachers need to make use of technologies to convey genuine concern for students and create a warm and friendly online environment as part of teaching activities that build Social Presence, although some affective expressions will need to be managed well to prevent some possible undesirable effects. Recommendations for Practitioners: English teachers in Indonesia, or elsewhere with a similar context to that in the country, can gain insights on the good practice of online learning in terms of teaching methods, media, platforms, assessments, etc. Besides, the online English teaching practices can also inform pre- and in-service teacher education programs, so as to provide technology integration training that has already been tried and empirically tested. Recommendations for Researchers: For future research, the seemingly fewer pieces of evidence found in Cognitive and Social Presence might be fertile ground for Indonesian ELT scholars to carry out research focusing on those aspects. Much research outside of Indonesia has been conducted around the theme of the application of CoI principles in online English classes, while only a few studies in this respect have been found in the Indonesian context. Impact on Society: The Findings of this study may help inform educational policies with regards to blended/hybrid or restricted face-to-face meetings in schools. Future Research: This paper has contributed to exemplifying the application of CoI framework as a tool of systematic review in research. Hence, in view of the impending blended, hybrid, or limited face-to-face learning, this type of CoI-framed systematic review research can be replicated in the future to assess the effectiveness of such blended or hybrid teaching mode. Besides, Future Research could also inquire whether ELT teachers sustain the use of technology in the postpandemic, on-site learning. [ABSTRACT FROM AUTHOR]

Aim/Purpose Using the Agile Adoption Framework (AAF), this study aims to examine the agile potential of software development companies in Nepal based on their agile maturity level. In addition, this study also examines the impact of various basic agile practices in determining the maturity level of the agile processes being implemented in the software industry of Nepal. Background Even if most organizations in the software sector utilize agile development strategies, it is essential to evaluate their performance. Nepal's software industry did not adopt agile techniques till 2014. The Nepalese industry must always adapt to new developments and discover ways to make software development more efficient and beneficial. The population of the study consists of 1,500 and 2,000 employees of software companies in Nepal implementing agile techniques. Methodology The sample size considered was 150 employees working in software companies in Nepal. However, only 106 respondents responded after three follow-ups. The sample was collected with purposive sampling. A questionnaire was developed to gain information on Customer Adaptive, Customer Collaboration, Continuous Delivery, Human Centric, and Technical Excellence related to agile practices along with the Agile Maturity Level. Contribution This research contributes to the understanding of agile practices adopted in software companies in developing countries like Nepal. It also reveals the determinants of the agility of software companies in developing countries. Findings The results suggest that some of the basic principles of agile have a very significant role in Agile Maturity Level in the Nepali context. In the context of Nepal, human-centered practices have a very high level of correlation, which plays a vital role as a major predictor of the agile maturity level. In addition, Technical Excellence is the variable that has the highest level of association with the Agile Maturity Level, making it the most significant predictor of this quality. Recommendations for Practitioners As Nepali software companies are mostly offshore or serve outsourcing companies, there is a very thin probability of Nepali developers being able to interact with actual clients and this might be one of the reasons for the Nepali industry not relying on Customer Adaptation and Collaboration as major factors of the Agile methodologies. Continuous Delivery, on the other hand, has a significant degree of correlation with Agile Maturity Level. Human-centric practices have a very high level of correlation as well as being a major predictor in determining the Agile Maturity Level in the context of Nepal. Technical Excellence is the most significant predictor and the variable which has the highest level of correlation with Agile Maturity Level. Practitioners should mainly focus on technical excellence as well as human-centric practices to achieve a higher level of Agile Maturity. Recommendations for Researchers There has not been any such research in the Nepali context that anyone could rely on, to deep dive into their organizational concerns regarding agile strategies and plans. Researchers will need to focus on a more statistical approach with data-driven solutions to the issues related to people and processes. Researchers will need to cover freelancers as well as academics to get a different perspective on what can be the better practices to achieve a higher level of agile maturity. Impact on Society This study on Agile work is accessible not only to the software industry but also to the general public. The Agile technique has had a huge impact on society's project management. It has revolutionized how teams approach project planning, development, and execution. The paper's findings will further information regarding the Agile methodology, which emphasizes collaboration and communication, fosters teamwork and higher quality work, and promotes the exchange of knowledge, ideas, and the pursuit of common goals. Future Research Owing to the limitations of this study, it is necessary to analyze agile practices in the Nepalese software sector using additional factors that influence agile maturity. The conclusion that years of agile experience do not serve as a balancing factor for both agile practices and the Agile Maturity Level requires additional research. Whether a software outsourcing firm or not, the organization type had no bearing on the degree of maturity of agile methods; this leaves space for further research. [ABSTRACT FROM AUTHOR]

Aim/Purpose Previous research has generally concentrated on identifying the variables that most significantly influence customer churn or has used customer segmentation to identify a subset of potential consumers, excluding its effects on forecast accuracy. Consequently, there are two primary research goals in this work. The initial goal was to examine the impact of customer segmentation on the accuracy of customer churn prediction in the banking sector using machine learning models. The second objective is to experiment, contrast, and assess which machine learning approaches are most effective in predicting customer churn. Background This paper reviews the theoretical basis of customer churn, and customer segmentation, and suggests using supervised machine-learning techniques for customer attrition prediction. Methodology In this study, we use different machine learning models such as k-means clustering to segment customers, k-nearest neighbors, logistic regression, decision tree, random forest, and support vector machine to apply to the dataset to predict customer churn. Contribution The results demonstrate that the dataset performs well with the random forest model, with an accuracy of about 97%, and that, following customer segmentation, the mean accuracy of each model performed well, with logistic regression having the lowest accuracy (87.27%) and random forest having the best (97.25%). Findings Customer segmentation does not have much impact on the precision of predictions. It is dependent on the dataset and the models we choose. Recommendations for Practitioners The practitioners can apply the proposed solutions to build a predictive system or apply them in other fields such as education, tourism, marketing, and human resources. Recommendations for Researchers The research paradigm is also applicable in other areas such as artificial intelligence, machine learning, and churn prediction. Impact on Society Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage. Future Research Build a real-time or near real-time application to provide close information to make good decisions. Furthermore, handle the imbalanced data using new techniques. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study aimed to develop a model for using social media content to promote 3D thinking of sustainability among students in integrated Mathematics, Language, Arts, and Technology (MLAT) classrooms. Background Social media is one of the most relevant platforms among students of the 21st century to the extent that connecting it to classroom learning becomes interesting to the learners. Education for Sustainable Development (ESD) requires teachers to implement an interdisciplinary teaching approach while promoting skills for dealing with sustainability issues. ESD enables students to think about three aspects (economics, environment, and society) of sustainability. In this paper, the ability to think about the environment, society, and economics simultaneously was termed "3D thinking of sustainability." Social media content can be a catalyst for promoting students' application of 3D thinking of sustainability if integrated into the classroom. However, teachers fail to use social media content in their classrooms because they lack the know-how to integrate them. Therefore, providing teachers with a model for using social media content in their teaching can help them integrate it into their classes. Methodology Design-based research was adopted by the researchers (wo mathematics teachers and one curriculum expert) who were selected through purposive sampling, and twenty students who were selected through convenience sampling. Data were collected from the teachers' interviews with twenty students through observation and reflective journals and from students' assignments through document analysis. Contribution The major contribution of the study is the development of the model for facilitating students' application of skills from the domains of mathematics, language, arts, and technology to understand sustainability issues. Furthermore, the study shows the value of social media in learning from the point of view of using them as context for applying interdisciplinary skills rather than media for teacher-student interaction. Findings The model with eight interactive phases was developed. The proposed model requires the teachers to be knowledgeable content-wise in various disciplines or to collaborate with teachers from other disciplines. Recommendations for Practitioners Practitioners are encouraged to adopt this model in the implementation of ESD. Recommendations for Researchers Researchers may test the application of this model in other integrated subjects and levels of education. Impact on Society The standard of living of any society is related to people's awareness of threats to sustainability. Therefore, the more education promotes 3D thinking of sustainability, the more the standard of living is guaranteed in our societies. Future Research To evaluate the applicability of the model in various educational contexts. [ABSTRACT FROM AUTHOR]

Aim/Purpose A proposal for a pedagogical model that integrates digital technologies in teaching Sustainable Development Goals (SDGs) in K-12 Education. Background The research is developed within project InTecEdu (Integration of Technology in Education), developed by the research group since 2008, and focusing on social inclusion for highly socially vulnerable K-12 students. Methodology The research was exploratory and qualitative; data was collected through a questionnaire and participant observation, with 253 students and 9 teachers from 5 Brazilian public schools. Contribution The research contributes by bringing a pedagogical model for integrating SDGs and Information and Communication Technologies (ICTs) in K-12 education. Findings All analyzed aspects received a high level of approval, although some opportunities for improvement were identified, such as the duration and frequency of the session. Recommendations for Researchers We recommend the reuse of the pedagogical model, since our intention is for it to be open-source, and free to use. Impact on Society The paper is aligned with the fourth SDG: Quality Education. It directly contributes with the education of 253 socially vulnerable students from a south American public school, and indirectly contributes with improvement of education. Future Research To improve the pedagogical model based on the feedback from the questionnaires and apply it with a more extensive scenario. [ABSTRACT FROM AUTHOR]

Aim/Purpose The Internet of Things (IoT) application modules have covered diverse sectors, and the educational domain is no exception. In this survey, we discuss the specific application benefits of IoT in education and further examine implementation challenges in Ghanaian tertiary institutions. Background This survey examines pertinent applications for IoT benefits in education and offers present and future opportunities to enhance educational outcomes. The survey includes anticipated IoT technologies that will have a significant impact on education. Each module contains concise definitions accompanied by analysis and application-specific relevance. Methodology In order to accomplish the objectives of the survey, a search review was conducted across relevant databases, including Scopus, Hindawi, IEEE, MPDI, ScienceDirect, Informing Science Institute, Springer, and Wiley. In addition, a thorough search was carried out using Google Scholar to cover all relevant repositories. The phrases and keywords for the search were made up of five categories. The literature search resulted in 300 articles, of which 200 were considered relevant for the survey. Of the 200 articles, 95 of them shared common themes and discussed the same application integration and challenges. Contribution This paper discusses the revolution involving IoT deployments in education and covers many aspects of the educational domain. Findings IoT integration in education will transform Education 4.0 and improve learning outcomes significantly. Recommendations for Practitioners Educational institutions are to embrace IoT integrations even with the emerging Education 4.0 and Industry 4.0 use cases. Recommendations for Researchers Educational IoT is the next big thing and research directions on unique use cases for educational institutions are eminent with 5G and other disruptive technologies. Impact on Society Effective IoT implementation in education will positively affect all stakeholders in the educational ecosystem and create a society with much access to information, connectivity, and convenience. Future Research To survey the integration of blockchain-based IoT applications in education. [ABSTRACT FROM AUTHOR]

Aim/Purpose The purpose of this study was to examine faculty perceptions of virtual field placement of preservice teachers at a university in the United Arab Emirates and to explore the factors that promote or hinder the success of this experience. Vygotsky's concept of scaffolding was used as the theoretical framework of this study and to explain the faculty's engagement with the field placement experience. Background The global pandemic of COVID-19 has affected the provision of teacher education programs around the world. It forced many universities to implement emergency remote teaching strategies including virtual field experiences. Methodology Considering the novelty of this phenomenon, an exploratory qualitative research design was followed to arrive at an in-depth description of the faculty's perceptions. A convenience sampling, which is characterized by the deliberate targeting of information-rich participants, was used to select five faculty members who supervised 40 Emirati preservice teachers during their virtual field experience. Data was collected using semi-structured interviews and analyzed using thematic analysis. Contribution The framework put forth in this study could serve as a guideline for teacher education programs, especially field experience preparation. Findings It was found that faculty had different perceptions of virtual field experiences. Although preservice teachers were faced with unprecedented virtual field experiences, collaboration with different stakeholders helped them achieve the learning outcomes. A main drawback of the virtual field experience, however, impacted preservice Emirati teachers' motivation about online teaching. Recommendations for Practitioners Preservice teachers' technological skills should be reinforced and built to enable purposeful and practical technological integration in the teaching and learning process. Therefore, a holistic inclusion of all stakeholders' approach is needed to upskill and develop the competencies of all parties involved in the process taking into consideration a more enriching collaborative manner. Such a redesign should be examined to assess its validity and efficiency on a wider and more diverse sample to ensure its reliability and success. Recommendations for Researchers Researchers are recommended to explore the impact of virtual field experience on young children learning and engagement by including all stakeholders involved in the teaching and learning process, especially young students' parents since findings showed that children under the age of eight are at a disadvantage in online learning. Impact on Society Implications of the findings of this study show that sustainable virtual field experiences can be attained through a collaborative approach. Collaboration is essential as it enables preservice teachers to succeed in implementing inclusive pedagogical approaches. Future Research Further studies can enrich the findings of this paper by expanding the collected data to provide deeper and more generalizable results. For example, virtual student teachers' and school students' scores should be collected and compared to face-to-face scores in order to assess and evaluate the learning itself. [ABSTRACT FROM AUTHOR]

Aim/Purpose The objective of this study is to summarize the challenges of Agile Requirements Engineering (Agile RE) in the public sector in republican and constitutional monarchy nations. Additionally, it offers recommendations to address these challenges. Background Failure of IT projects in the public sector results in financial losses for the state and loss of public trust, often attributed to issues in requirements engineering such as prioritization of user needs and excessive scope of requirements. IT projects can have a higher success rate with Agile RE, but there are also drawbacks. Therefore, this study holds significance by presenting a thorough framework designed to pinpoint and overcome the challenges associated with Agile RE to increase the success rate of IT projects. Methodology This study employs a Systematic Literature Review (SLR) protocol in the field of software engineering or related domains, which consists of three main phases: planning the review, conducting the review with a snowballing ap proach, and reporting the review. Furthermore, the authors perform open coding to categorize challenges based on the Agile methodologies adoption factor model and axial coding to map potential solutions. Contribution The authors assert that this research enriches the existing literature on Agile RE, specifically within the public sector context, by mapping out challenges and possible solutions that contribute to creating a foundation for future studies to conduct a more in-depth analysis of Agile adoption in the public sector. Furthermore, it compares the barriers of Agile RE in the public sector with the general context, leading to the discovery of new theories specifically for this field. Findings Most challenges related to Agile RE in the public sector are found in the people and process aspects. Project and organizational-related are subsequent aspects. Therefore, handling people and processes proficiently is imperative within Agile RE to prevent project failure. Recommendations for Practitioners Our findings offer a comprehensive view of Agile RE in the public sector in republican and constitutional monarchy nations. This study maps the challenges encountered by the public sector and provides potential solutions. The authors encourage practitioners to consider our findings as a foundation for adopting Agile methodology in the public sector. Furthermore, this study can assist practitioners in identifying existing barriers related to Agile RE, pinpointing elements that contribute to overcoming those challenges, and developing strategies based on the specific needs of the organizations. Recommendations for Researchers Researchers have the potential to expand the scope of this study by conducting research in other countries, especially African countries, as this study has not yet encompassed this geographic region. Additionally, they can strengthen the evidence linking Agile RE challenges to the risk of Agile project failure by performing empirical validation in a specific country. Impact on Society This research conducts a comprehensive exploration of Agile RE within the public sector, serving as a foundation for the successful adoption of Agile methodology by overcoming obstacles related to Agile RE. This study highlights the importance of managing people, processes, projects, and organizational elements to increase the success of Agile adoption in the public sector. Future Research In the future, researchers should work towards resolving the limitations identified in this study. This study has not provided a clear prioritization of challenges and solutions according to their significance. Therefore, future researchers can perform a Fuzzy Analytical Hierarchical Process (F-AHP) to prioritize the proposed solutions. [ABSTRACT FROM AUTHOR]

Aim/Purpose This paper aims to analyze the availability and pricing of perishable farm produce before and during the lockdown restrictions imposed due to Covid-19. This paper also proposes machine learning and deep learning models to help the farmers decide on an appropriate market to sell their farm produce and get a fair price for their product. Background Developing countries like India have regulated agricultural markets governed by country-specific protective laws like the Essential Commodities Act and the Agricultural Produce Market Committee (APMC) Act. These regulations restrict the sale of agricultural produce to a predefined set of local markets. Covid-19 pandemic led to a lockdown during the first half of 2020 which resulted in supply disruption and demand-supply mismatch of agricultural commodities at these local markets. These demand-supply dynamics led to disruptions in the pricing of the farm produce leading to a lower price realization for farmers. Hence it is essential to analyze the impact of this disruption on the pricing of farm produce at a granular level. Moreover, the farmers need a tool that guides them with the most suitable market/city/town to sell their farm produce to get a fair price. Methodology One hundred and fifty thousand samples from the agricultural dataset, released by the Government of India, were used to perform statistical analysis and identify the supply disruptions as well as price disruptions of perishable agricultural produce. In addition, more than seventeen thousand samples were used to implement and train machine learning and deep learning models that can predict and guide the farmers about the appropriate market to sell their farm produce. In essence, the paper uses descriptive analytics to analyze the impact of COVID-19 on agricultural produce pricing. The paper explores the usage of prescriptive analytics to recommend an appropriate market to sell agricultural produce. Contribution Five machine learning models based on Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Random Forest, and Gradient Boosting, and three deep learning models based on Artificial Neural Networks were implemented. The performance of these models was compared using metrics like Precision, Recall, Accuracy, and F1-Score. Findings Among the five classification models, the Gradient Boosting classifier was the optimal classifier that achieved precision, recall, accuracy, and F1 score of 99%. Out of the three deep learning models, the Adam optimizer-based deep neural network achieved precision, recall, accuracy, and F1 score of 99%. Recommendations for Practitioners Gradient boosting technique and Adam-based deep learning model should be the preferred choice for analyzing agricultural pricing-related problems. Recommendations for Researchers Ensemble learning techniques like Random Forest and Gradient boosting perform better than non-Ensemble classification techniques. Hyperparameter tuning is an essential step in developing these models and it improves the performance of the model. Impact on Society Statistical analysis of the data revealed the true nature of demand and supply and price disruption. This analysis helps to assess the revenue impact borne by the farmers due to Covid-19. The machine learning and deep learning models help the farmers to get a better price for their crops. Though the dataset used in this paper is related to India, the outcome of this research work applies to many developing countries that have similar regulated markets. Hence farmers from developing countries across the world can benefit from the outcome of this research work. Future Research The machine learning and deep learning models were implemented and tested for markets in and around Bangalore. The model can be expanded to cover other markets within India. [ABSTRACT FROM AUTHOR]

Aim/Purpose This paper identified and explored the factors influencing Bitcoin adoption and use in South Africa. Background Since its introduction in 2008, the value and popularity of Bitcoin has risen exponentially. Captivating the eyes of the world, from regulators to economists, Bitcoin promises to revolutionize the digital currency space. Despite being over 10 years old, the concept of cryptocurrency is fairly new in South Africa, a developing country. South African's interest in Bitcoin continues to grow with the country constantly ranking within the top 10 in online searches for "Bitcoin" and "cryptocurrency" on Google. The primary objective of this research was to identify adoption factors amongst South African citizens, an area that has not received much research focus in the past. In addition to this, the study aimed to identify how Bitcoin is primarily used in South Africa. Methodology A survey-based questionnaire was utilized to obtain responses from adopters of Bitcoin in South Africa. The quantitative survey was completed by 204 respondents. Contribution This research contributes to the body of knowledge relating to Bitcoin adoption, specifically from a developing country. Adoption factors are identified that can be utilized by businesses that intend to adopt cryptocurrency, to strategically prepare for the potential risks or opportunities brought about by Bitcoin and cryptocurrency in general. Findings The findings of this study indicate that while perceived usefulness, perceived ease of use, subjective norms, and facilitating conditions positively influence intention to adopt Bitcoin, trust was the only construct that is statistically significant and hence is the greatest driver of adoption in South Africa. In terms of its primary use in South Africa, the study revealed that Bitcoin is used as a speculative instrument for short-term trading in South Africa followed by being used as a long-term investment in the crypto-asset class. No respondent indicated that they utilize Bitcoin as a payment method in South Africa. Recommendations for Practitioners When developing crypto-based investment products, custodians of assets must ensure that a minimum-security protocol is followed to safeguard these assets. This will enhance the trust that potential investors and customers have in their systems and products. Recommendations for Researchers This study focused on adoption factors for South African citizens. Future studies should be conducted to identify adoption factors by businesses in South Africa. Impact on Society Bitcoin offers an alternate trading instrument and investment option, with the possibility of large gains over a relatively short period. Bitcoin also presents the possibility of cross-border transactions at a significantly lower cost compared to traditional cross-border transfers of funds. Future Research Studies should be conducted to explore the factors influencing the adoption of altcoins to determine if the technological differences influence the adoption of one currency over the other. Research should also be conducted comparing the taxation of cryptocurrency in various countries around the world. [ABSTRACT FROM AUTHOR]

Aim/Purpose This paper aims to analyze how artisans in Ghana are incorporating mobile commerce into their everyday business and how perceived usefulness, perceived ease of use, subjective norms, age, gender, expertise, and educational level affected the adoption and usage of m-commerce. Background This study integrates well-established theoretical models to create a new conceptual model that ensures a comprehensive mobile commerce adoption survey. Methodology A cross-sectional survey was conducted to measure the constructs and their relations to test the research model. Contribution The study's findings confirmed previous results and produced a new conceptual model for mobile commerce adoption and usage. Findings Except for gender, perceived ease of use, and subjective norms that did not have specific effects on mobile commerce adoption, age, educational level, perceived usefulness, expertise, attitude, and behavioral intention showed significant effects. Recommendations for Practitioners First of all, mobile commerce service providers should strategically pay critical attention to customer-centered factors that positively affect the adoption of mobile commerce innovations than focusing exclusively on technology-related issues. Mobile service providers can attract more users if they carefully consider promoting elements like perceived usefulness and perceived ease of use which directly or indirectly affect the individuals' decision to adopt information technology from consumer perspectives. Second, mobile commerce service providers should strategically focus more on younger individuals since, per the research findings, they are more likely to adopt mobile commerce innovations than the older folks in Ghana. Third, service providers should also devise strategies to retain actual users of m-commerce by promoting elements like behavioral intentions and attitude, which according to the research findings, have a higher predictive power on actual usage of m-commerce. Recommendations for Researchers The conceptual model developed can be employed by researchers worldwide to analyze technology acceptance research. Impact on Society The study's findings suggested that mobile commerce adoption could promote a cashless society that is convenient for making buying things quicker and easier. Future Research The research sample size could be increased, and also the study could all sixteen regions in Ghana or any other country for a broader representation. [ABSTRACT FROM AUTHOR]

Aim/Purpose: This paper examines how senior academic staff from a large sample of teacher education colleges regard the integration of digital games into teacher instruction. These colleges serve general or religious populations, and we examine what, in practice, their policy and vision were in this regard in the context of the COVID-19 pandemic. Background: The sudden adoption of online teaching-learning due to the pandemic has been termed disruptive in that it drastically disturbed higher education in Israel and worldwide. The senior academic staff of Israel's colleges of education was responsible for leading policy decision-making during this period. The use of digital games for pedagogic purposes may be direct when used for knowledge acquisition and reinforcement and student development or indirect. Methodology: Using semi-structured interviews, the current study applied an interpretive-constructivist approach to examine how senior academic staff from several teacher education colleges perceived the integration of digital games into teacher instruction and elicit their policy and vision in this regard, in the context of the COVID-19 pandemic. Contribution: The Findings suggest that discussions surrounding technology-related vision and policy and their translation into practice should relate to the specific cultural needs and academic preparedness of the population(s) served by the college. Findings: Half the participants expressed a desire to integrate digital games into teaching and learning but acknowledged that in practice this was uncommon. Only a small minority considered themselves to have achieved successful integration in practice, with doubt and skepticism expressed by some of the religious colleges. Most colleges had policies to encourage the integration of technology in general into teaching, with these, in turn, supported by ongoing funding. Although a considerable gap between policy and implementation remained, the COVID-19 pandemic was viewed as having considerably accelerated the integration of digital games into preservice teacher instruction. Recommendations for Practitioners: Discussions pertaining to technology-related vision and policy and their translation into practice should relate to the specific cultural needs and academic preparedness of the population(s) served by the college. Recommendations for Researchers: The Findings reflect the spectrum of challenges faced by the different populations the colleges employ and serve and the outcomes of the colleges' ongoing attempts to negotiate and reconcile different concerns. Impact on Society: The Findings have implications wherever colleges serve other socially and culturally conservative populations that are interested in or compelled to adopt techno-pedagogies. Future Research: We call for further research into whether continued pandemic-related restrictions have increased the practical integration of techno-pedagogical tools such as digital games into the curricula of teacher education colleges. [ABSTRACT FROM AUTHOR]

Aim/Purpose: This article aimed to explore student perceptions and experiences of migrating to a fully online mode during COVID-19. Background: The COVID-19 pandemic changed the mode of delivery from face-to-face or blended learning to fully distance learning. The introduction of the Disaster Management Act (2020) in South Africa forced all institutions of learning to close their doors and move to teaching and learning online. We, therefore, needed to investigate whether the students at an Open Distance Learning (ODL) institution had access to the necessary devices and to see how they responded to fully online learning. Subsequently, this prompted a need to investigate student access to and competence in online learning in a fully ODL space during COVID-19. Since COVID-19 is a recent occurrence, little is known about how students experienced a (forced) move to fully online learning. In South Africa specifically, much less is known about fully online learning. Methodology: The structured web-based survey was sent to all registered Bachelor of Education and Postgraduate Certificate in Education students. The structured questionnaire asking questions about students' access to devices and their experiences of learning in a fully online mode, was administrated through Google Survey forms. There were 2,858 responses received. Descriptive statistics and exploratory factor analysis were used to uncover findings. Contribution: This paper sets out student teachers' experiences of learning in a fully online mode during COVID-19 in a developing country such as South Africa. These experiences as representative of the global South, are previously unknown to scholars and can assist in designing future fully online programs in this context. Findings: Access to affordable data is an obstacle for students to access the learning management system. Students felt that the university took a long time to distribute laptops and also indicated that they lacked a suitable and stable internet connection. The digital divide was made more apparent and significant during COVID-19 although students indicated that they did develop necessary digital competencies. Recommendations for Practitioners: Practitioners in Open Distance Learning should understand students' context regarding access to tools and connectivity when designing courses. Recommendations for Researchers: Researchers should explore theoretical framings to understand issues related to online education when access to tools and connectivity is limited. Impact on Society: The digital divide was exacerbated by COVID-19. Students and communities need support to move to online modes of engagement. Future Research: More studies of a qualitative and mixed-method nature should be conducted to fully understand student teachers' context and challenges with online learning. Further research that includes student responses using non-digital means needs to be explored. [ABSTRACT FROM AUTHOR]

Aim/Purpose: The aim of this study is to adopt more systematically the collaborative learning dimension in the technical translation teaching at Master Degree level. In order to do so, a computer-supported skills lab approach is targeted. This approach is aimed at enhancing traditional courses on Computer-Assisted Translation (CAT) so that student competences and soft skills are enhanced. Background: In traditional CAT courses, laboratory sessions complement theoretical lessons, thus providing students mainly with tool-oriented operational knowledge, while nowadays more intertwined competences are required by the labor market. Moreover, this sector lacks skills labs which engage students in collaborative activities mimicking professional workflows, thus not exploiting team-based learning potential effectiveness. Methodology: In this paper, therefore, a design Methodology to deploy and operate an enhanced skills lab as a remote Computer-Supported Collaborative Simulated Translation Bureau (CS2TB) is proposed and validated. The proposed Methodology is based on a set of intertwined methodological frameworks that address: 1) student competences and educational requirements, 2) collaborative aspects, 3) regulatory policies as well as functional and interactional guidelines for the simulated fieldwork. The overall effectiveness of the proposed Methodology has been assessed by using pre-post questionnaires to ascertain student feedback. The improvement in technology skills has been evaluated by collecting and examining student help requests as well as system error logs. Contribution: The CS2TB provides a technology-enhanced simulation-based learning environment whose aim is twofold: first, enriching traditional approaches with a Computer-Supported Collaborative Learning (CSCL) experience and, second, incorporating widely adopted approaches for the translation-teaching domain as the required grounding knowledge. Findings: Results demonstrate the effectiveness of CS2TB in improving students' competences (specifically in the IT area but also in the technical translation area), students' willingness to operate in a fieldwork-like context and cooperative learning efficacy. Recommendations for Practitioners: The educational implications of the proposed approach concern the development of a full range of competences and soft skills for students in the technical translation teaching at the higher education level, ranging from language and translation proficiency to the usage of IT platforms as well as personal and interpersonal interactional soft skills. Recommendations for Researchers: This study offers a wide overview of all the aspects entailed by the design, implementation, management, and evaluation of a skills lab for technical translation teaching. Researchers may benefit from the rigorous modelling approach as well as from the adopted assessment techniques. Moreover, the study stresses the pivotal role of a tight collaboration between language/translation teaching and computer engineering. Impact on Society: Higher education institutions that already have courses on computer-assisted translation may benefit from the proposed CS2TB approach, which allows them to design new thematic activities leveraging team-based learning, collaborative learning, and fieldwork-situated simulation. Moreover, the presented broad range of assessment approaches can be used to measure the impact of CS2TB on learning outcomes of the involved students. Future Research: Future research activities will be dedicated to examining the impact of a different set of enabling IT platforms on the collaborative learning perspective, to evaluate alternative scaffolding approaches (e.g., chatbots or augmented reality), and to increase simulation fidelity further, so that even more student competences can be fostered. [ABSTRACT FROM AUTHOR]

Aim/Purpose Although the significance of data provenance has been recognized in a variety of sectors, there is currently no standardized technique or approach for gathering data provenance. The present automated technique mostly employs workflow-based strategies. Unfortunately, the majority of current information systems do not embrace the strategy, particularly biodiversity information systems in which data is acquired by a variety of persons using a wide range of equipment, tools, and protocols. Background This article presents an automated technique for producing temporal data provenance that is independent of biodiversity information systems. The approach is dependent on the changes in contextual information of data items. By mapping the modifications to a schema, a standardized representation of data provenance may be created. Consequently, temporal information may be automatically inferred. Methodology The research methodology consists of three main activities: database event detection, event-schema mapping, and temporal information inference. First, a list of events will be detected from databases. After that, the detected events will be mapped to an ontology, so a common representation of data provenance will be obtained. Based on the derived data provenance, rule-based reasoning will be automatically used to infer temporal information. Consequently, a temporal provenance will be produced. Contribution This paper provides a new method for generating data provenance automatically without interfering with the existing biodiversity information system. In addition to this, it does not mandate that any information system adheres to any particular form. Ontology and the rule-based system as the core components of the solution have been confirmed to be highly valuable in biodiversity science. Findings Detaching the solution from any biodiversity information system provides scalability in the implementation. Based on the evaluation of a typical biodiversity information system for species traits of plants, a high number of temporal information can be generated to the highest degree possible. Using rules to encode different types of knowledge provides high flexibility to generate temporal information, enabling different temporal-based analyses and reasoning. Recommendations for Practitioners The strategy is based on the contextual information of data items, yet most information systems simply save the most recent ones. As a result, in order for the solution to function properly, database snapshots must be stored on a frequent basis. Furthermore, a more practical technique for recording changes in contextual information would be preferable. Recommendations for Researchers The capability to uniformly represent events using a schema has paved the way for automatic inference of temporal information. Therefore, a richer representation of temporal information should be investigated further. Also, this work demonstrates that rule-based inference provides flexibility to encode different types of knowledge from experts. Consequently, a variety of temporal-based data analyses and reasoning can be performed. Therefore, it will be better to investigate multiple domain-oriented knowledge using the solution. Impact on Society Using a typical information system to store and manage biodiversity data has not prohibited us from generating data provenance. Since there is no restriction on the type of information system, our solution has a high potential to be widely adopted. Future Research The data analysis of this work was limited to species traits data. However, there are other types of biodiversity data, including genetic composition, species population, and community composition. In the future, this work will be expanded to cover all those types of biodiversity data. The ultimate goal is to have a standard methodology or strategy for collecting provenance from any biodiversity data regardless of how the data was stored or managed. [ABSTRACT FROM AUTHOR]

Aim/Purpose: The purpose of this study is to assess the factors that have significant influences on students' adoption of e-learning systems and to what extent these factors affect them. Background: E-learning has become an essential tool and makes it an inevitable option for education in the future. E-learning has received considerable attention in recent times as a global spread of the COVID-19 pandemic. Nevertheless, developing countries, including Vietnam, are facing many difficulties when adopting e-learning systems. Therefore, it is essential to comprehensively evaluate the factors that influence the intention of students to use e-learning to enhance the implementation process and also improve educational quality. Methodology: Initially, the authors synthesized a literature review from 112 related studies to complete the proposed research model including the combination of C-TAMTPB model and external variables impacting students' adoption of e-learning systems. After that, a sample of 172 students at FPT University Vietnam was collected to test the proposed model and explain students' intentions. The dataset was investigated and analyzed with PLS-SEM using the SmartPLS 3.3.3 tool. Contribution: The study has made a valuable Contribution to the current literature by proposing an extended model between C-TAM-TPB and three external variables to provide a better understanding of learners' intentions with e-learning systems. Furthermore, the research Findings also provide useful guidelines for innovating and improving the e-learning system more effectively to advance students' learning motivation in the educational environment. Findings: The Findings demonstrate that Computer Self-efficacy and Perceived Accessibility have an important influence on Perceived Ease of Use by learners of an e-learning system. Furthermore, Perceived Enjoyment affects the Perceived Usefulness of e-learning systems. For the TAM, Perceived Usefulness and Perceived Ease of Use both have a positive impact on Attitude toward Use, and Attitude has a positive relationship with the Behavioral Intention of students. In addition, the factors from the TPB model (i.e., Perceived Behavioral Control and Subjective Norm) were identified as having a significant positive effect on Behavioral Intention to use e-learning. Recommendations for Practitioners: Firstly, educational institutions should help along with the culture of using elearning among students and lecturers. A supportive team should be accessible to help students use e-learning by providing instructions and addressing their questions. Secondly, system developers should concentrate on system-related aspects that have a significant influence on learners' attitudes and intentions to utilize, as well as build the most appropriate e-learning system for students. Recommendations for Researchers: Firstly, the study fulfills a significant literature gap on evaluating e-learning effectiveness for learners in private institutions as they are focusing on developing quality education to gain competitive advantages. Secondly, based on research findings, the researchers may be able to advance studies to improve and innovate a quality system for ensuring the long-term usage of e-learning. Finally, this paper contributes to the theoretical foundation and development of an extended model for future studies to assess the intention when employing new technologies in education and other fields. Impact on Society: E-learning will become a necessary tool and an unavoidable possibility in the next period of education. Therefore, this study presents an overview of the factors that have a notable influence on students' intention to adopt e-learning systems. This study then proposes to develop an optimal system for the teaching and learning process, as well as to adapt to future demands. Future Research: Firstly, there are just three external variables that are considered to have an impact on learners' intention via TAM. However, other external factors could be exploited in future research. Secondly, the participants in this study are only students. If the lecturers could take part in this survey, the comparisons between faculty and students may have more usefulness for assessment. Thirdly, this model just interprets the results at a certain time, which is the COVID-19 outbreak and e-learning is an urgent response to maintain the process of teaching and learning. The perception, attitude, and performance of students may change over time. Therefore, as other researchers have recommended, longitudinal surveys should be considered here. Finally, the differences between majors may appear. Future studies can divide groups of learners according to their majors for a more significant test. [ABSTRACT FROM AUTHOR]

Aim/Purpose The goal of this writing was not to promote any particular assessment tool. We aimed to critically explore the numerous assessment techniques that are accessible to app stakeholders with an emphasis on their strengths, shortcomings, and trustworthiness. We underline the importance of a relatively good and research-based tool that can readily assess the existing Learning Apps (LAs). Background A thorough and comprehensive literature review of LAs and their assessment tools was the primary goal of reporting the state of the art through this SLR (Systematic Literature Review) writing. Methodology We restricted our search space to ten databases and covered the most relevant studies from 2008 to 2022. To accomplish this predefined research interest, we divided our whole SLR methodology into four pertinent steps. Contribution The primary goal of the current writing is to know the state of the art regarding LAs’ appraising instruments so that we can clearly reveal a list of essential research gaps on the same problem. Accordingly, app designers gain valuable insight from these forms of texts in order to develop better LA(s). Findings After careful examination of included studies (114), we found a total of 70 studies that discussed at least one evaluation tool in their research design, and the remaining studies were useful for theoretical support in writing this review. Although we discovered a large list of evaluation tools on LAs, the majority are suffering from some serious flaws. This emphasizes the need for a concise, comprehensive, and concrete theoretical evaluation tool for LAs. Recommendations for Practitioners If practitioners incorporate the summarized research findings into their app design process, it may be possible to produce high-quality educational apps that could significantly improve our current educational system. Recommendation for Researchers We analyzed a large amount of relevant literature on LAs assessment. As a result, we have represented the current state of the art as well as some other key research discoveries in a clear and concise manner on the same research design. Thus, novices may easily gain a theoretical understanding by reading this research article, rather than having to read many individual pieces of literature, which may be a time-consuming process. Impact on Society Education is a crucial component of our society. In light of this, we did a thorough literature review of LAs and discovered a number of deficiencies. If we research and answer these flaws scientifically, it may be possible to create high-quality apps that could considerably improve our current educational system. Future Research Future research may focus on developing a sound framework or model for evaluating educational apps and being tested on our self-designed LA. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study aims to identify the characteristics of YouTube video reviews that consumers utilize to evaluate review helpfulness and explores how they process such information. This study aims to investigate the effect of argument quality, review popularity, number of likes, and source credibility on consumers' perception of YouTube's video review helpfulness. Background Video reviews posted on YouTube are an emerging form of online reviews, which have the potential to be more helpful than textual reviews due to their visual and audible cues that deliver more vivid information about product features and specifications. With the availability of an enormous number of video reviews with unpredictable quality, it becomes challenging for consumers to find helpful reviews without consuming significant time and effort. In addition, YouTube does not provide a specific feature that indicates a review helpfulness similar to the one found on e-commerce websites. Consequently, consumers have to examine the characteristics of video reviews that are readily available on YouTube, evaluate them, and form a perception of whether a review is helpful or not. Despite the increasing popularity of YouTube's video reviews, video reviews' helpfulness received inadequate attention in the literature. The antecedents of the helpfulness of online video reviews are still underinvestigated, and more research is needed to identify the characteristics that consumers depend upon to assess video review helpfulness. Furthermore, it is important to understand how consumers process the information they gain from these characteristics to form a perception of their helpfulness. Methodology Following an extended investigation of the relevant literature, we identified four key video characteristics that consumers presumably utilize to evaluate review helpfulness on YouTube (i.e., review popularity, number of likes, source credibility, and argument quality). By employing the Elaboration Likelihood Model (ELM), we classified these characteristics along the central and peripheral routes. The central route characteristics require a high cognitive effort by consumers to process the review's message and reach a logical decision. In contrast, the peripheral route assumes that consumers judge the review's message based on superficial qualities without substantial cognitive effort. A research model is introduced to investigate the effect of central and peripheral cues and their corresponding video review characteristics on review helpfulness. Accordingly, argument quality is proposed in the central route of the model, while review popularity, number of likes, and source credibility are proposed in the peripheral route. Furthermore, the study investigates how consumers process the information they obtain from these routes jointly or independently. To empirically test the proposed model, a convenient sample of 361 YouTube users was obtained through an online survey. The partial least squares method was used to investigate the effect of the proposed characteristics on video review helpfulness. Contribution This study contributes to the literature in several ways. First, it is one of the few studies that investigate online video reviews' helpfulness. Second, this study identifies several unique characteristics of YouTube's video reviews that span peripheral and central routes, which potentially contribute to review helpfulness. Third, this study proposes a conceptual model based on the ELM to explore the effect of central and peripheral cues and their corresponding review characteristics on review helpfulness. Fourth, the research findings provide implications for research and practice that advance the theoretical understanding of video reviews' helpfulness and serve as guidelines to create more helpful video reviews by better understanding the consumer's cognitive processes. Findings The results show that among the four characteristics proposed in the research model, argument quality in the central route is the strongest determinant factor affecting video review helpfulness. Results also show that review popularity, source credibility, and the number of likes in the peripheral route have significant effects on video review helpfulness. Altogether, our results show that the effect of the peripheral route adds up to 0.463 compared to 0.430, which is the impact magnitude of the argument quality construct in the central route. Based on the comparable effect magnitude of the central and peripheral routes of the model on video review helpfulness, our results indicate that both peripheral and central cues significantly affect consumers' perception of video review helpfulness. The two routes are not mutually exclusive, and their cues can be processed in parallel or consecutive ways. Recommendations for Practitioners The study recommends creating a dedicated category for reviews on YouTube with a specific feature for consumers to indicate the helpfulness of a video review, similar to the helpful vote button in textual reviews. The study also recommends that reviewers deliver more appealing and convincing argument quality, work toward improving their credibility, and understand the factors that contribute to video popularity. Impact on Society Identifying the characteristics that affect video review helpfulness on YouTube helps consumers access helpful reviews more efficiently and improves their purchase decisions. Future Research Future research could look into different types of data that could be extracted from YouTube to investigate the helpfulness of online video reviews. Future studies could employ machine learning and sentiment analysis techniques to reach more insights. Future research could also investigate the effect of product types in the context of online video reviews. [ABSTRACT FROM AUTHOR]

Aim/Purpose This research investigated the determinant factors influencing the adoption intentions of Chatsicum, a Knowledge-Based Chatbot (KBC) aimed at enhancing the species literacy of biodiversity students. Background This research was conducted to bridge the gap between technology, education, and biodiversity conservation. Innovative solutions are needed to empower individuals with knowledge, particularly species knowledge, in preserving the natural world. Methodology The study employed a quantitative approach using the Partial Least Square Structural Equation Modeling (PLS-SEM) and sampled 145 university students as respondents. The research model combined the Task-Technology Fit (TTF) framework with elements from the Diffusion of Innovation (DOI), including relative advantage, compatibility, complexity, and observability. Also, the model introduced perceived trust as an independent variable. The primary dependent variable under examination was the intention to use the KBC. Contribution The findings of this research contribute to a deeper understanding of the critical factors affecting the adoption of the KBC in biodiversity education and outreach, as studies in this context are limited. This study provides valuable insights for developers, educators, and policymakers interested in promoting species literacy and leveraging innovative technologies by analyzing the interplay of TTF and DOI constructs alongside perceived trust. Ultimately, this research aims to foster more effective and accessible biodiversity education strategies. Findings TTF influenced all DOI variables, such as relative advantage, compatibility, observability, and trust positively and complexity negatively. In conclusion, TTF strongly affected usage intention indirectly. However, relative advantage, complexity, and observability insignificantly influenced the intention to use. Meanwhile, compatibility and trust strongly affected the use intention. Recommendations for Practitioners Developers should prioritize building and maintaining chatbots that are aligned with the tasks, needs, and goals of the target users, as well as establishing trust through the assurance of information accuracy. Educators could develop tailored educational interventions that resonate with the values and preferences of diverse learners and are aligned closely with students' learning needs, preferences, and curriculum while ensuring seamless integration with the existing educational context. Conservation organizations and policymakers could also utilize the findings of this study to enhance their outreach strategies, as the KBC is intended for students and biodiversity laypeople. Recommendations for Researchers Researchers should explore the nuances of relationships between TTF and DOI, as well as trust, and consider the potential influence of mediating and moderating variables to advance the field of technology adoption in educational contexts. Researchers could also explore why relative advantage, complexity, and observability did not significantly impact the usage intention and whether specific user segments or contextual factors influence these relationships. Impact on Society This research has significant societal impacts by improving species literacy, advancing technology in education, and promoting conservation efforts. Species knowledge could raise awareness regarding biodiversity and the importance of conservation, thereby leading to more informed and responsible citizens. Future Research Future works should address the challenges and opportunities presented by KBCs in the context of species literacy enhancement, for example, interventions or experiments to influence the non-significant factors. Furthermore, longitudinal studies should investigate whether user behavior evolves. Ultimately, examining the correlation between species literacy, specifically when augmented by chatbots, and tangible conservation practices is an imperative domain in the future. It may entail evaluating the extent to which enhanced knowledge leads to concrete measures promoting biodiversity preservation. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study aims to analyze the factors that influence user addiction to AR face filters in social network applications and their impact on the online social anxiety of users in Indonesia. Background To date, social media users have started to use augmented reality (AR) face filters. However, AR face filters have the potential to create positive and negative effects for social media users. The study combines the Big Five Model (BFM), Sense of Virtual Community (SVOC), and Stimuli, Organism, and Response (SOR) frameworks. We adopted the SOR theory by involving the personality factors and SOVC factors as stimuli, addiction as an organism, and social anxiety as a response. BFM is the most significant theory related to personality. Methodology We used a quantitative approach for this study by using an online survey. We conducted research on 903 Indonesian respondents who have used an AR face filter feature at least once. The respondents were grouped into three categories: overall, new users, and old users. In this study, group classification was carried out based on the development timeline of the AR face filter in the social network application. This grouping was carried out to facilitate data analysis as well as to determine and compare the different effects of the factors in each group. The data were analyzed using the covariance-based structural equation model through the AMOS 26 program. Findings The results of this study indicated neuroticism, membership, and immersion influence AR face filter addiction in all test groups. In addition, ARA has a significant effect on online social anxiety. Contribution This research fills the gap in previous research which did not discuss much about the impact of addiction in using AR face filters on online social anxiety of users of social network applications. Recommendations for Practitioners The findings are expected to be valuable to social network service providers and AR creators in improving their services and to ensure policies related to the list of AR face filters that are appropriate for use by their users as a form of preventing addictive behavior of that feature. Recommendations for Researchers This study suggested other researchers consider other negative impacts of AR face filters on aspects such as depression, life satisfaction, and academic performance. Impact on Society AR face filter users may experience changes in their self-awareness in using face filters and avoid the latter's negative impacts. Future Research Future research might explore other impacts from AR face filter addiction behavior, such as depression, life satisfaction, and so on. Apart from that, future research might investigate the positive impact of AR face filters to gain a better understanding of the impact of AR face filters. [ABSTRACT FROM AUTHOR]

Aim/Purpose This research aims to evaluate models from meta-learning techniques, such as Riemannian Model Agnostic Meta-Learning (RMAML), Model-Agnostic Meta-Learning (MAML), and Reptile meta-learning, to obtain high-quality metadata. The goal is to utilize this metadata to increase accuracy and efficiency in identifying chili varieties in smart agriculture. Background The identification of chili varieties in smart agriculture is a complex process that requires a multi-faceted approach. One challenge in chili variety identification is the lack of a large and diverse dataset. This can be addressed using meta-learning techniques, which allow the model to leverage knowledge learned from other related tasks or artificially expand the dataset by applying transformations to existing data. Another challenge is the variation in growing conditions, which can affect the appearance of chili varieties. Meta-learning techniques can help address this challenge by allowing the model to adapt to variations in growing conditions with task-specific embeddings and optimizations. With the help of meta-learning techniques, such as data augmentation, data characterization, selection of datasets, and performance estimation, quality metadata for accurate identification of chili varieties can be achieved even in the presence of limited data and variations in growing conditions. Furthermore, the use of meta-learning techniques in chili variety identification can also assist in addressing challenges related to the computational complexity of the task. Methodology The research approach employed is quantitative, specifically comparing three models from meta-learning techniques to determine which model is most suitable for our dataset. Data was collected from the variety assembly garden in the form of images of chili leaves using a mobile device. The research successfully gathered 1,974 images of chili leaves, with 697 images of large red chilies, 649 images of curly red chilies, and 628 images of cayenne peppers. These chili leaf images were then processed using augmentation techniques. The results of image data augmentation were categorized based on leaf characteristics (such as oval, lancet, elliptical, serrated leaf edges, and flat leaf edges). Subsequently, training and validation utilized three models from meta-learning techniques. The final stage involved model evaluation using 2-way and 3-way classification, as well as 5-shot and 10-shot learning scenarios to select the dataset with the best performance. Contribution Improving classification accuracy, with a focus on ensuring high-quality data, allows for more precise identification and classification of chili varieties. Enhancing model training through an emphasis on data quality ensures that the models receive reliable and representative input, leading to improved generalization and performance in identifying chili varieties. Findings With small collections of datasets, the authors have used data augmentation and meta-learning techniques to overcome the challenges of limited data and variations in growing conditions. Recommendations for Practitioners By leveraging the knowledge and adaptability gained from meta-learning, accurate identification of chili varieties can be achieved even with limited data and variations in growing conditions. The use of meta-learning techniques in chili variety identification can greatly improve the accuracy and reliability of the identification process. Recommendations for Researchers Using meta-learning techniques, such as transfer learning and parameter optimization, researchers can overcome challenges related to limited data and variations in growing conditions in chili variety identification. Impact on Society The findings from this research can help identify superior chili seeds, thereby motivating farmers to cultivate high-quality chilies and achieve bountiful harvests. Future Research We intend to verify our approach on a more extensive array of datasets and explore the implementation of more resilient regularization techniques, going beyond image augmentation, within the meta-learning techniques. Furthermore, our goal is to expand our research to encompass the automatic learning of parameters during training and tackle issues associated with noisy labels. Building on the insights gained from our observed outcomes, a future objective is to enhance the refinement of model-agnostic meta-learning techniques that can effectively adapt to intricate task distributions with substantial domain gaps between tasks. To realize this aim, our proposal involves devising model-agnostic meta-learning techniques specifically designed for multi-modal scenarios. [ABSTRACT FROM AUTHOR]

Aim/Purpose The research aims to investigate the factors that influence the continuous use of mobile banking applications to complete banking monetary transactions. Background Despite a significant increase in the use of mobile banking applications, particularly during the COVID-19 pandemic, new evidence indicates that the use rate of mobile banking applications for operating banking monetary transactions has declined. Methodology The study proposed an integrated model based mainly on the process virtualization theory (PVT) with other novel factors such as mobile banking application anthropomorphism and virtual process failure risk. The study model was empirically validated using structural equation modeling analysis on quantitative data from 484 mobile banking application users from Jordan. Contribution The study focuses on continuing use or post-adoption behavior rather than preadoption behavior. This is important since the maximum and long-term viability, as well as the financial investment in mobile banking applications, depend on regular usage rather than first-time use or initial experience. Findings The results indicate that process virtualizable and anthropomorphism have a strong positive impact on bank customers' decisions to continue using mobile banking applications to complete banking monetary transactions. Meanwhile, the negative impact of virtualization process failure risk on continuous use has been discovered. The found factors explain 67.5% of the variance in continuous use. Recommendations for Practitioners The study identified novel, significant factors that affect bank customers' decisions to use mobile banking applications frequently, and these factors should be examined, matched, satisfied, or addressed when redesigning or upgrading mobile applications. Banks should provide users with clear directions, processes, or tutorials on how to complete monetary transactions effectively. They should also embrace Artificial Intelligence (AI) technology to improve their applications and products with anthropomorphic features like speech synthesizers, Chatbots, and AI-powered virtual bank assistants. This is expected to help bank customers conduct various banking services conveniently and securely, just as if interacting with real people. The study further recommends that banks create and publish clear norms and procedures, as well as promote tolerance and protect consumers' rights when the process fails or mistakes occur. Recommendations for Researchers The study provides measurement items that were specifically built for the context of mobile banking applications based on PVT notions. Researchers are invited to reuse, test, and modify existing measurement items, as well as submit new ones if necessary. The study model does not consider psychological aspects like trust and satisfaction, which would provide additional insight into factors affecting continuing use. Researchers could potentially take a different approach by focusing on user resistance and non-adoption. Impact on Society Financial inclusion is problematic, particularly in underdeveloped nations. According to financial inclusion research, Jordanians rarely utilize mobile banking apps. Continuous usage of mobile banking applications will be extremely beneficial in closing the financial inclusion gap, particularly among women. Furthermore, it could help the country's efforts to transition to a digital society. Future Research The majority of study participants are from urban areas. Future studies should focus on consumers who live in rural areas. It was also suggested that the elderly be targeted because they may have different views/perspectives on the continued use of mobile banking applications. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study examines the adoption and continued use of m-learning in Iraqi universities amidst an unstable environment by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Expectation-Confirmation Model (ECM) models. The primary goal is to address the specific challenges and opportunities in Iraq's higher education institutions (HEIs) due to geopolitical instability and understand their impact on student acceptance, satisfaction, and continued m-learning usage. Background The research builds on the growing importance of m-learning, especially in HEIs, and recognizes the unique challenges faced by institutions in Iraq, given the region's instability. It identifies gaps in existing models and proposes extensions, introducing the variable "civil conflicts" to account for the volatile context. The study aims to contribute to a deeper understanding of m-learning acceptance in conflict-affected regions and provide insights for improving mlearning initiatives in Iraqi HEIs. Methodology To achieve its objectives, this research employed a quantitative survey to collect data from 399 students in five Iraqi universities. PLS-SEM is used for the analysis of quantitative data, testing the extended UTAUT2 and ECM models. Contribution The study's findings are expected to contribute to the development of a nuanced understanding of m-learning adoption and continued usage in conflict-affected regions, particularly in the Iraqi HEI context. Findings The study's findings may inform strategies to enhance the effectiveness of mlearning initiatives in Iraqi HEIs and offer insights into how education can be supported in regions characterized by instability. Recommendations for Practitioners Educators and policymakers can benefit from the research by making informed decisions to support education continuity and quality, particularly in conflictaffected areas. Recommendations for Researchers Researchers can build upon this study by further exploring the adoption and usage of m-learning in unstable environments and evaluating the effectiveness of the proposed model extensions. Impact on Society The research has the potential to positively impact society by improving access to quality education in regions affected by conflict and instability. Future Research Future research can expand upon this study by examining the extended model's applicability in different conflict-affected regions and assessing the long-term impact of m-learning initiatives on students' educational outcomes. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study examined the use of Social Media Applications (SMAs) for accessing health-related information within a heterogeneous population in Jordan. The objective of this study was therefore threefold: (i) to investigate the usage of SMAs, including WhatsApp, Twitter, YouTube, Snapchat, Instagram, and Facebook, for accessing health-related information; (ii) to examine potential variations in the use of SMAs based on demographic and behavioral characteristics; and (iii) to identify the factors that can predict the use of SMAs. Background There has been limited focus on investigating the behavior of laypeople in Jordan when it comes to seeking health information from SMAs. Methodology A cross-sectional study was conducted among the general population in Jordan using an online questionnaire administered to 207 users. A purposive sampling technique was employed, wherein all the participants actively sought online health information. Descriptive statistics, t-tests, and regression analyses were utilized to analyze the collected data. Contribution This study adds to the existing body of research on health information seeking from SMAs in developing countries, with a specific focus on Jordan. Moreover, laypeople, often disregarded by researchers and health information providers, are the most vulnerable individuals who warrant greater attention. Findings The findings indicated that individuals often utilized YouTube as a platform to acquire health-related information, whereas their usage of Facebook for this purpose was less frequent. Participants rarely utilized Instagram and WhatsApp to obtain health information, while Twitter and Snapchat were very seldom used for this purpose. The variable of sex demonstrated a notable positive correlation with the utilization of YouTube and Twitter for the purpose of finding health-related information. Conversely, the variable of nationality exhibited a substantial positive correlation with the utilization of Facebook, Instagram, and Twitter. Consulting medical professionals regarding information obtained from the Internet was a strong indicator of using Instagram to search for health-related information. Recommendations for Practitioners Based on the empirical results, this study provides feasible recommendations for the government, healthcare providers, and developers of SMAs. Recommendations for Researchers Researchers should conduct separate investigations for each application specifically pertaining to the acquisition of health-related information. Additionally, it is advisable to investigate additional variables that may serve as predictors for the utilization of SMAs. Impact on Society The objective of this study is to enhance the inclination of the general public in Jordan to utilize SMAs for health-related information while also maximizing the societal benefits of these applications. Future Research Additional research is required to examine social media's usability (regarding ease of use) and utility (comparing advantages to risks) in facilitating effective positive change and impact in healthcare. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study investigates the drivers of user satisfaction in e-government services and its influence on continued use intention and citizen trust in government. It employs the integration of the Technology Acceptance Model (TAM) and the Information System Success Model (ISSM). Background Electronic government, transforming citizen-state interactions, has gained momentum worldwide, including in India, where the aim is to leverage technology to improve citizen services, streamline administration, and engage the public. While prior research has explored factors influencing citizen satisfaction with e-government services globally, this area of study has been relatively unexplored in India, particularly in the post-COVID era. Challenges to widespread e-government adoption in India include a large and diverse population, limited digital infrastructure in rural areas, low digital literacy, and weak data protection regulations. Additionally, global declines in citizen trust, attributed to economic concerns, corruption, and information disclosures, further complicate the scenario. This study seeks to investigate the influence of various factors on user satisfaction and continuance usage of e-government services in India. It also aims to understand how these services contribute to building citizens' trust in government. Methodology The data were collected by utilizing survey items on drivers of e-government services, user satisfaction, citizen trust, and continuance use intention derived from existing literature on information systems and e-government. Responses from 501 Indian participants, collected using an online questionnaire, were analyzed using PLS-SEM. Contribution This study makes a dual contribution to the e-government domain. First, it introduces a comprehensive research model that examines factors influencing users' satisfaction and continuance intention with e-government services. The proposed model integrates the TAM and ISSM. Combining these models allows for a comprehensive examination of e-government satisfaction and continued intention. By analyzing the impact of user satisfaction on continuance intention and citizen trust through an integrated model, researchers and practitioners gain insights into the complex dynamics involved. Second, the study uncovers the effects of residential status on user satisfaction, trust, and continuance intention regarding e-government services. Findings reveal disparities in the influence of system and service quality on user satisfaction across different user segments. Researchers and policymakers should consider these insights when designing egovernment services to ensure user satisfaction, continuance intention, and the building of citizen trust. Findings The findings indicate that the quality of information, service, system, and perceived usefulness play important roles in user satisfaction with e-government services. All hypothesized paths were significant, except for perceived ease of use. Furthermore, the study highlights that user satisfaction significantly impacts citizen trust and continuance use intention. Recommendations for Practitioners The findings suggest that government authorities should focus on delivering accurate, comprehensive, and timely information in a secure, glitch-free, and user-friendly digital environment. Implementing an interactive and accessible interface, ensuring compatibility across devices, and implementing swift query resolution mechanisms collectively contribute to improving users' satisfaction. Conducting awareness and training initiatives, providing 24×7 access to online tutorials, helpdesks, technical support, clear FAQs, and integrating AI-driven customer service support can further ensure a seamless user experience. Government institutions should leverage social influence, community engagement, and social media campaigns to enhance user trust. Promotional campaigns, incentive programs, endorsements, and user testimonials should be used to improve users' satisfaction and continuance intention. Recommendations for Researchers An integrated model combining TAM and ISSM offers a robust approach for thoroughly analyzing the diverse factors influencing user satisfaction and continuance intention in the evolving digitalization landscape of e-government services. This expansion, aligning with ISSM's perspective, enhances the literature by demonstrating how user satisfaction impacts continuance usage intention and citizen trust in e-government services in India and other emerging economies. Impact on Society Examining the factors influencing user satisfaction and continuance intention in e-government services and their subsequent impact on citizen trust carries significant societal implications. The findings can contribute to the establishment of transparent and accountable governance practices, fostering a stronger connection between governments and their citizens. Future Research There are several promising avenues to explore to enhance future research. Expanding the scope by incorporating a larger sample size could enable a more thorough analysis. Alternatively, delving into the performance of specific e-government services would offer greater precision, considering that this study treats e-government services generically. Additionally, incorporating in-depth interviews and longitudinal studies would yield a more comprehensive understanding of the dynamic evolution of digitalization. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study aimed to increase our understanding of how the stages of the customer purchase journey, privacy trade-offs, and information sensitivity of different business service sectors affect consumers' privacy concerns. Background The study investigated young consumers' willingness to provide consent to use their personal data at different phases of the customer journey. This study also examined their readiness to provide consent if they receive personal benefits, and how information sensitivity varied between different individuals and business sectors. Methodology Data was collected by a quantitative survey (n=309) and analyzed with R using the Bayesian linear mixed effect modeling approach. The sample consisted of university students in Finland, who represented a group of young and digitally native consumers. The questionnaire was designed for this study and included constructs with primarily Likert-scale items. Contribution The study contributed to data privacy and consent management research in information sensitivity, privacy trade-off, and the customer journey. The study underlined the need for a stronger user experience focus and contextuality. Findings The results showed that readiness to disclose personal data varied at different phases of the customer journey as privacy concerns did not decrease in a linear fashion throughout the purchase process. Perceived benefits affected the willingness to provide consent for data usage, but concerned consumers would be less trade-off oriented. Self-benefit was the most relevant reason for sharing, while customization was the least. There is a connection between the information sensitivity of different business sector information and privacy concerns. No support for gender differences was found, but age affected benefits and business sector variables. Recommendations for Practitioners The study recommends approaching consumers' data privacy concerns from a customer journey perspective while trying to motivate consumers to share their personal data with relevant perceived benefits. The self-benefit was the most relevant benefit for willingness to provide consent, while customization was the least. Recommendations for Researchers The study shows that individual preference for privacy was a major factor directly and via interaction for all three models. This study also showed that consumers' subjective decision-making in privacy issues is both a situational and a contextual factor. Impact on Society This study could encourage policymakers and societies to develop guidelines on how to develop privacy practices and consent management to be more user centric as individuals are increasingly concerned about their online privacy. Future Research This study encourages examining consumers' motivational factors to provide digital consent for companies with experimental research settings. This study also calls to explore perceived benefits in all age groups from the perspective of different information in various business sectors. This study shows that privacy concern is a contextual and situational factor. [ABSTRACT FROM AUTHOR]

Aim/Purpose Social commerce is an emergent topic widely used for product and service sourcing. It helps companies to have frequent interaction with their customers and strive to achieve a competitive advantage. Yet there is only little empirical evidence focusing on social commerce and its adoption in SMEs to date. This study investigates the key factors affecting social commerce adoption in SMEs. This research designed a theoretical model using the Technology, Organization, and Environment (TOE) Model Background Despite its rapid growth and usage, social commerce is still in its evolution phase and its current conception is vague and restricted. Therefore, considering the benefits of social commerce for consumers and businesses, it is important to explore the concept of social commerce. Methodology The research floated a self-administered questionnaire and surveyed 218 Jordanian SME businesses. The data was analyzed using smart PLS and the results were drawn that covers the detail of the characteristics of respondents, study descriptive, results of regressions assumptions, e.g., data normality, reliability, validity, common method biases, and description of the measurement model, followed by the findings of hypothesis analysis. Contribution This study has many significant contributions to the existing studies on firms' adoption of social commerce. It indicates that organizational readiness from the organizational perspective and consumer pressure from the environmental dimension of the TOE model are significant influential elements in the adoption of social commerce in business, followed by high-level management support and trading partner pressure, respectively. This shows that organizational readiness to adopt social commerce and consumer pressure has a vital role in Jordanian SMEs' adopting social commerce. Findings The results were drawn from a survey of 218 Jordanian SMEs, indicating that organizational readiness from an organizational dimension and consumer pressure environmental perspective, followed by top management's support and trading partner pressure, significantly predicts the adoption intentions of social commerce. However, perceived usefulness and security concerns from a technological context do not significantly impact behavioral intentions to utilize social commerce. Recommendations for Practitioners Lack of awareness about new technology and its potential benefits are not well diffused in the Jordanian context. In short, both organizational and environmental dimensions of the TOE framework significantly influence the behavioral intentions for social commerce adoption in the Jordanian context whereas the third-dimension technological factors do not affect the behavioral intentions of SMEs to adopt social commerce. In the technological context, SMEs need to invest in technology and must spread awareness among Jordanian consumers about the potential benefits of technology and must encourage them to use social commerce platforms to interact because of the high significance of social commerce for businesses as it facilitates the quick completion of tasks, enhances the productivity, and improves the chances of high profitability. Recommendations for Researchers First, the study is limited in scope as it discusses the direct links between the TOE framework, behavioral intentions to use social commerce, and the actual usage of social commerce in the Jordanian context rather than testing the mediation, and moderation. Future research may examine the mediators and moderators in the conceptual model. Second, the research examined the behavioral intentions of SMEs rather than consumers to adopt social commerce. Further research might consider the consumer perspective on social commerce. Impact on Society This research aims to identify the key factor that impact the behavioral intentions of SME businesses to practice social commerce. The theoretical underpinning of the study lies in the TOE model, as using its basic assumptions the conceptual grounds and hypothesis of the study are developed. Future Research The study findings are not generalizable in different contexts as it was specifically conducted by gathering data from the Jordanian population. However future studies may consider different contexts, sectors, cultures, or countries to examine the model. Lastly, the research collected data using convenience sampling from 218 SMEs in Jordan, which may create difficulty in the generalizability of the research, so needs to examine a larger sample in future studies. [ABSTRACT FROM AUTHOR]

Aim/Purpose The use of digital technology, such as an electronic records management system (ERMS), has prompted widespread changes across organizations. The organization needs to support its operations with an automation system to improve production performance. This study investigates ERMS's potentiality to enhance organizational performance in the oil and gas industry. Background Oil and gas organizations generate enormous electronic records that lead to difficulties in managing them without any system or digitalization procedure. The need to use a system to manage big data and records affects information security and creates several problems. This study supports decision-makers in oil and gas organizations to use ERMS to enhance organizational performance. Methodology We used a quantitative method by integrating the typical partial least squares (SEM-PLS) approach, including measurement items, respondents' demographics, sampling and collection of data, and data analysis. The SEM-PLS approach uses a measurement and structural model assessment to analyze data. Contribution This study contributes significantly to theory and practice by providing advancements in identity theory in the context of big data management and electronic records management. This study is a foundation for further research on the role of ERMS in operations performance and Big Data Management (BDM). This research makes a theoretical contribution by studying a theorydriven framework that may serve as an essential lens to evaluate the role of ERMS in performance and increase its potentiality in the future. This research also evaluated the combined impacts of general technology acceptance theory elements and identity theory in the context of ERMS to support data management. Findings This study provides an empirically tested model that helps organizations to adopt ERMS based on the influence of big data management. The current study's findings looked at the concerns of oil and gas organizations about integrating new technologies to support organizational performance. The results demonstrated that individual characteristics of users in oil and gas organizations, in conjunction with administrative features, are robust predictors of ERMS. The results show that ERMS potentiality significantly influences the organizational performance of oil and gas organizations. The research results fit the big ideas about how big data management and ERMS affect respondents to adopt new technologies. Recommendations for Practitioners This study contributes significantly to the theory and practice of ERMS potentiality and BDM by developing and validating a new framework for adopting ERMS to support the performance and production of oil and gas organizations. The current study adds a new framework to identity theory in the context of ERMS and BDM. It increases the perceived benefits of using ERMS in protecting the credibility and authenticity of electronic records in oil and gas organizations. Recommendations for Researchers This study serves as a foundation for future research into the function and influence of big data management on ERMS that support the organizational performance. Researchers can examine the framework of this study in other nations in the future, and they will be able to analyze this research framework to compare various results in other countries and expand ERMS generalizability and efficacy. Impact on Society ERMS and its impact on BDM is still a developing field, and readers of this article can assist in gaining a better understanding of the literature's dissemination of ERMS adoption in the oil and gas industry. This study presents an experimentally validated model of ERMS adoption with the effect of BDM in the oil and gas industry. Future Research In the future, researchers may be able to examine the impact of BDM and user technology fit as critical factors in adopting ERMS by using different theories or locations. Furthermore, researchers may include the moderating impact of demographical parameters such as age, gender, wealth, and experience into this study model to make it even more robust and comprehensive. In addition, future research may examine the significant direct correlations between human traits, organizational features, and individual perceptions of BDM that are directly related to ERMS potentiality and operational performance in the future. [ABSTRACT FROM AUTHOR]

Aim/Purpose Despite the growing interest in reflection, there is an issue regarding how to fortify the linkages between a learning experience and the reflection activity that follows it, as experience on its own is not the key to learning. In addition, studies have also shown that students are not able to transfer the newly acquired knowledge through experience into a new situation. Besides that, it is revealed that students have a generally poor learning performance in computer-supported courses. This can be attributed to the difficulty in comprehending lessons. These problems then bring to the fore the question of what specific elements are needed to turn experience into learning and enable educators to enhance students' learning performance through reflection activities. Therefore, this study was undertaken to design the reflection environment through educational blogging and examine its effect on students' learning performance in a computer-supported course; that is, an Authoring System course. Background Incorporating reflection as an integral part of the curriculum and learning process can be challenging. It involves dedicating time and effort to foster a reflective culture. Therefore, a reflective blogging environment needs to be designed by incorporating structured and interactive reflective thinking activities. This learning environment should also be able to integrate theoretical and practical aspects while encouraging active engagement in social collaborative learning to build knowledge and comprehension in learning computer-supported courses. Furthermore, leveraging blogging technology by embedding it with effective pedagogy is also necessary to nurture students, and is critical in knowledge acquisition. Methodology A one-group pre-test post-test type of research design was adopted, using quantitative data of students' learning performance. A purposive sampling technique was employed to select a sample of 18 postgraduate students enrolled in the Authoring System course in the Faculty of Education. The reflection through the educational blogging environment was designed according to the ICCEE (Identify, Choose, Create, Engage, and Evaluate) instructional design model. The learning performance test was analysed using inferential statistics, specifically, the Wilcoxon ranked test, effect size, and power analysis. Contribution This study highlights that reflection through blogging remains relevant for learning among postgraduate students when its pedagogical design is carefully planned to align with learning and teaching goals. Leveraging the advantages of blogs as student-centred learning environments can encourage discussion and debate-like activities, which, in turn, positively affects students' overall learning performance. The design of the reflective learning environment also gives us an understanding of how the reflection approach can be better conducted to improve students' learning performance. Findings The reflection through the educational blogging environment was successfully designed based on the five in-depth steps of the ICCEE instructional design model. The learning performance indicates that there was a statistically significant difference between the pre-test and post-test scores. Thus, it can be concluded that reflection through blogging, which acted as an intervention, had a significant influence on students' performance in learning in the Authoring System course. Ecommendations for Practitioners Given the technical nature of this study, instructors, especially those teaching online, must exhibit greater creativity in bridging the gap between theory and real-world applications to enhance students' cognitive engagement with the learning materials. As technical learning is frequently associated with poorer cognitive learning outcomes, it is crucial for instructors to bridge the gap between theory and practical applications to achieve better results. Recommendations for Researchers Researchers can ensure that students perceive learning and teaching as constructivist activities by leveraging the advantages of blogs as student-centred learning environments and minimising the presence of instructionalist activities. This approach encourages discussion and debate-like activities, which, in turn, positively enhances students' overall learning performance. Impact on Society This study highlights that educational blogging remains significant for postgraduate students when its pedagogical design is carefully planned to align with learning and teaching goals. Future Research Future work is necessary to validate the findings, particularly concerning different computer-supported courses, with larger and more diverse samples. Additionally, the learning performance pathways can be analysed via data mining using qualitative data to provide valuable insights into patterns related to the types of feedback that foster the growth of specific levels of reflective thinking skills. Linking students' performance with other probable learning processes/outcomes, such as learning styles, interaction posts, demographic details, and response time, can provide a better understanding of the computer-supported competencies among students from a summative approach. [ABSTRACT FROM AUTHOR]

Aim/Purpose The study aimed to investigate the effect of using the gamified flipped classroom instructional method on the students' overall achievement compared to the traditional non-gamified, non-gamified flipped classroom, and traditional gamified instructional methods. Background Flipped classroom is helpful to address limited class time, implement different pedagogies, and help students better attain their learning outcomes and improve their academic achievement. Motivating and encouraging students to perform or complete flipped learning activities is a challenging issue affecting the success of the flipped classroom. This research posits that gamification presents a promising solution, and adding gamification to the flipped classroom is important for its success. However, little is known about the effects of integrating gamification into flipped learning without sufficient results to generalize. Pedagogical designs with appropriate theoretical foundations should be added to the literature on flipped learning and gamification. This research proposes a learning model that combines gamification within flipped classroom via quizzes online platform with the main flow theory requirements. The purpose of this combination is to motivate and engage learners in flipped classroom activities. Methodology The data were collected from 101 undergraduate students in a database management course at Al al-Bayt University in Jordan. The students were assigned to four different instructional methods according to their preferences (traditional non-gamified, non-gamified flipped, traditional gamified, and gamified flipped classroom). A study with a quasi-experimental factorial design was carried out using midterm and final exam instruments to assess the students' overall achievement. Two-way factorial ANOVA was employed to examine the main effect of the instructional method, student gender, and the interaction effect on students' overall achievement. Bonferroni's multiple comparisons test was carried out to compare and determine which instructional method had the main effect and achieved the best grades among test groups. Contribution The current study proposed a gamified flipped learning model guided by the theoretical foundations of flow theory. This study offers a novel contribution to the literature by illustrating the importance of employing gamification in the flipped classroom and how the gamified flipped instructional method affects student achievement, especially when appropriate gamification design and careful game element selection. The effects reported by this study provide empirical evidence and valuable insights for researchers, practitioners, and educators about the issues of gamified flipped classroom and guide instructional designers to apply appropriate game elements. Findings The findings showed that the gamified flipped group outperformed the other three groups and significantly improved students' overall achievement with a large effect size. Employing gamification within the flipped classroom instructional method improved 23.9% of the total variance in the students' achievement through increasing their motivation to complete flipped classroom activities. It has also been found that the non-gamified flipped group outperformed both the traditional non-gamified and the traditional gamified groups. Students' gender was also not a significant factor regarding male and female achievement in using gamified flipped classroom. Recommendations for Practitioners This study recommends that instructors who utilize flipped classroom should combine other new technologies within in-class activities, such as gamification, instead of traditional discussion in classroom meetings. Thus, the in-class activities become more attractive, increasing their students' motivation. Recommendations for Researchers Researchers need to understand the factors enhancing the flipped learning activities and the ways of designing and implementing gamification elements to develop new learning models. Impact on Society Gamified flipped learning can help students improve their achievement and help instructors perform in-class instructional activities, leading to more effective and efficient higher education. Appropriate design and use of gamification elements within flipped learning can promote and encourage the use of such a model. Future Research Additional research should be conducted to explore and measure students' motivation, engagement, and in-class collaboration due to the gamified flipped classroom instructional model. Further experimental studies on other courses in different environmental variables are also recommended. [ABSTRACT FROM AUTHOR]

Aim/Purpose Our study is focused on prototyping, development, testing, and deployment of a new knowledge primitive for the humanoid robot assistant NAO, in order to enhance student visual learning by establishing a human-robot interaction. Background This new primitive, utilizing a convolutional neural network (CNN), enables real-time recognition of handwritten digits captured by the NAO robot, a humanoid robot assistant developed by SoftBank Robotics. It is equipped with advanced capabilities, including a wide range of sensors, cameras, and interactive features. By integrating the proposed primitive, the NAO robot gains the ability to accurately recognize handwritten digits, contributing to improved student visual learning experiences. Methodology Our developed primitive consists of the use of a convolutional neural network (CNN) so that the robot is able to recognize the handwriting of the digits present in the input image received in real-time. The NAO robot establishes interaction with the learners through a scenario based on a predefined assignment. In this scenario, NAO captures the digit handwritten by the learner via its camera, recognizes the digit using the deep learning model generated by the MNIST dataset, and announces to the learner the handwritten digit in the input image. The prototype is realized using the concept of a distributed system allowing the distribution of tasks in four different computing nodes. Contribution Our research makes a significant contribution by equipping the humanoid robot NAO with a cognitive intelligence system through the integration of a new knowledge primitive based on handwriting digit recognition (HWDR). Our approach used to create and implement this primitive in the NAO robot is interesting and innovative, and presents a promising provision for enhancing the visual learning experience of children and young students with special needs, based on the use of distributed systems that divide the work using various components distributed over several nodes, coordinating their efforts to perform tasks more efficiently than a single device besides the NAO robot. Findings We designed our model using specific parameters and a fully convolutional neural network architecture, which includes three residual depthwise separable convolutions, each followed by batch normalization and ReLU activation. To evaluate the performance of our model, we tested it on the MNIST dataset, where we achieved a remarkable accuracy, F1 score, and recall of 99%. An experiment was conducted to test our implemented primitive and see the effectiveness of this invention for enhancing visual learning in children with special needs. We developed a visual learning strategy based on the creation of engaging activities mediated by the NAO robot in an educational context. The results showed that participants achieved a strong commitment to the NAO robot, appreciating its ability to recognize handwritten digits and highlighting its promising potential to enrich visual learning experiences. Participants expressed a strong preference for teaching methods integrating assistive learning technologies, demonstrating the positive impact of our humanoid assistant robot on improving learning and visual intelligence in an educational environment. Recommendations for Practitioners Encourage creativity and innovation in the field of robotics and special needs. This can lead to new and effective solutions that improve the lives of students with special needs. Recommendations for Researchers Test and evaluate the proposed robotics solutions to ensure they are effective and making a positive impact. Use feedback from users, educators, and parents to refine and improve your solutions. Also, ensure that the robotics solutions are accessible to students with a range of abilities. This may involve designing solutions that are adjustable or providing alternative means of access. Impact on Society As there are several ways to educate, there are multiple forms of learning. With the help of this learning procedure and strategy, the human teacher collaborates with the robot assistance NAO to improve visual learning among students. The findings of this research can serve as an application for the implementation of various pedagogical methods that will assist in meeting the needs of the majority of learners. Future Research Our future research will concentrate on addressing the educational needs of students with special needs, enabling them to overcome their challenges and reach academic excellence in an inclusive environment. To achieve this goal, we plan to leverage the capabilities of social robots, which have emerged as a significant contributor to the field of human-robot interaction, particularly in facilitating inclusive education. These agents have proven to be effective in providing support to students with special needs, thereby enabling them to receive the education they need to succeed. [ABSTRACT FROM AUTHOR]

Aim/Purpose The purpose of this study is to explore the correlation between contract cheating and online education in China, which has become a major concern due to the extensive promotion of online education worldwide amid the COVID-19 pandemic. Background Contract cheating, also known as academic ghostwriting, refers to the act of students outsourcing academic assignments to third parties, who complete the work on their behalf. With the development of online education, the incidence of contract cheating is rising progressively. Whilst numerous scholars have conducted extensive research on the causes, prevention, and handling of contract cheating, the issue persists and needs further localized understanding. Methodology This study employs a mixed-methods approach. First, textual data on Sina Weibo, a popular Chinese social media platform, is collected and analyzed using VOSviewer and NVivo12 software. Field observation methods are also utilized for theme analysis and sentiment analysis. Second, the theoretical framework of organizational theory is applied to explain the impact of different modes of online education implementation on contract cheating. Finally, based on the findings, possible solutions to mitigate contract cheating are proposed. Contribution This study contributes to the literature by providing a theoretical framework to explain the relationship between online education and contract cheating in China. The study's findings highlight the importance of the mode of online education implementation when addressing contract cheating. Findings This study finds that online education does exacerbate contract cheating in China, and the extent of this phenomenon varies depending on the mode of online education implementation. This study also identifies the lack of academic integrity education and supervision as a major factor contributing to contract cheating. Recommendations for Practitioners Reducing the costs of educational organizations in combating cheating through institutional arrangements, such as establishing effective channels of communication between teachers and schools and controlling teachers' workload outside of their primary responsibilities, can help curb contract cheating. Recommendations for Researchers Both history and reality have demonstrated that possible solutions cannot rely solely on new technologies or single institutional arrangements. Contract cheating is essentially an unethical means of competing for scarce resources, and as long as resources remain scarce, this phenomenon will persist. Impact on Society As a social phenomenon, contract cheating cannot be completely eradicated through top-down policy enforcement. Future Research The stringent enforcement against contract cheating also involves the education regulatory and judicial departments, and their relationship is worthy of future research. [ABSTRACT FROM AUTHOR]

Aim/Purpose The main purpose is to study the experience of using virtual team building as a means of forming educational and research teams in the context of the development of online education and its effect among students and teachers of higher educational institutions. Background Methods ensuring effective engagement of students in learning are critical to the success of online education. The most obvious problems in higher educational institutions are procrastination, academic dishonesty due to easy access to electronic resources, decreased attendance, and insufficient interaction between teachers and students. Methodology The research methodology is based on an empirical approach, which is a research survey using a questionnaire to collect data based on closed-ended questions. For quantitative analysis, the independent sample t-test was used. The survey was conducted among students and teachers of two educational institutions in the Russian Federation. Contribution This study is of practical and scientific importance as it can contribute to the introduction of virtual team building in the modern education system. Findings Based on the analysis of the data obtained, it can be concluded that students and teachers approximately equally assess the impact of team building on the ability to get to know each other better, improve communication skills, and psychoemotional intimacy. Despite the need and sometimes no alternative to virtual team building (for example, during a pandemic), half of the sample of students (50.8%) agreed that team building was more effective in an offline environment while 64.3% of teachers believe that the effectiveness could have been higher in the offline environment. The respondents assessed the positive effect of team building on their interest and motivation to study or work. Recommendations for Practitioners These findings can contribute to a broader and faster implementation of virtual team-building practices in the education system of the Russian Federation and other countries of the world. The results of this study can be applied by higher educational institutions that are interested in increasing team cohesion, interest, and motivation to study or work, as well as the creation of closer and trusting relationships, and an atmosphere of psycho-emotional safety. Recommendations for Researchers This topic requires more observations to verify the influence of student personality on the effectiveness of virtual team building in intelligent collaborative learning environments. Impact on Society The study highlights the importance of communication between the student and the teacher, as well as between students, as psycho-emotional well-being in the micro-society results in a better academic performance. Future Research Further research can be aimed at studying the difference in the effectiveness of team building in online and offline learning environments, as well as the impact of team building on the teaching staff. [ABSTRACT FROM AUTHOR]

Aim/Purpose The current research examined the use of digital games in the fully online learning context imposed by lockdowns in response to the COVID-19 pandemic. In particular, we sought to understand the contribution that digital games made to teacher educators and how they used digital games in their remotely delivered courses. Background Teacher educators experienced in using digital games in their teaching were interviewed regarding the contribution digital games made to their pedagogy when they were teaching remotely during COVID-19. Methodology This qualitative study included 34 participants who taught four-year-degree programs in 13 teacher education colleges in Israel. Contribution This study sheds light on a sparsely researched area by examining the contribution of digital games to teacher educators' pedagogy. The study also suggests practical implications for implementing digital games for teacher educators. Findings Many participants used digital games. Some used them extensively as an integral component of the curriculum while others used them to break up the lesson and thereby retain their students' interest and attention. However, a small number reduced their use of digital games citing work overload. Recommendations for Practitioners This study suggests that education systems may be able to obtain post-pandemic-related gains to further advance the use of digital games as a pedagogic strategy in teacher education in the future. Recommendations for Researchers An additional study using a more representative sample of teacher educators would be very valuable to gauge the roll-on effects of the sudden shift to remote online learning on the use of digital games following the return to face-to-face teaching and learning. Impact on Society The findings have implications for how the use of digital games should be addressed in teacher education at teacher colleges. Future Research Future research can address possible contributions or challenges that teacher educators face when using digital games, for example, in a hybrid learning environment to enhance engagement and promote active learning. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study aims to explore undergraduate IS students' employability skills development while performing their final capstone project during their academic studies. Background The importance of soft skills in the Information Systems industry is not an arguable fact and has been broadly discussed both in the industry and the academic literature. The ability of professionals to collaborate, communicate, manage time, negotiate, solve problems, make decisions, and self-learning, called employability skills, are essential skills needed in today's industry. The development of these skills during undergraduate studies is essential for graduate students' readiness for work. Methodology A mixed methods approach was employed using exploratory research design, including qualitative and quantitative approaches. First, a qualitative analysis of 156 reflections was performed, resulting in the conceptual framework of facets. Then, a quantitative analysis of the data was performed to examine the facets and the differences between the stages of the capstone project. Contribution This study contributes to both academy and industry. The former may use this study's findings to upgrade academy courses and capstone projects in order to raise students' readiness for the industry. The later may learn the approaches the academy use and give appropriate feedback. Findings The results showed that students' reflections on their motivation, knowledge, and skills (teamwork, time management, and inter-communication) demonstrate the importance of those facets in the process they underwent, especially since the reflections collected were unstructured. Recommendations for Practitioners Information Systems undergraduate academic programs should develop structured capstone projects to provide the students with a better platform to learn and experience the employability skills the industry requires. Recommendations for Researchers The study presents a conceptual model based on students' reflections on their experience performing a capstone project. The impact and influence of each of the model's components should be further researched and measured. Impact on Society Moreover, it is very important to prepare the students for employability by including a "real-life" capstone project at the end of their undergraduate studies to prepare them to be valuable in the workforce, even at their start point as juniors. Future Research To evaluate the process of employability skills development, a further study can examine students' perceptions prior to the capstone, during, and after to assess the progress and changes. To generalize the results, it would be valuable to investigate whether the findings of this study are consistent across different institutions and disciplines. [ABSTRACT FROM AUTHOR]

Aim/Purpose The main purpose of this study is to identify the factors affecting the continuance use intention of gamified m-learning applications by Higher Education Institution (HEI) learners in Malaysia. Background Mobile learning (m-learning) has been a popular choice among learners in HEIs due to its convenient 'on-the-go' concept. On the other hand, embedding gamification elements in m-learning applications help in increasing the users' interest in continuous use. Therefore, many HEIs have invested in producing their own m-learning products apart from utilizing existing m-learning applications that are widely available online. One of the challenges faced by HEIs is the low technology usage rates towards the 'in-house' developed applications, which affect the receptiveness of education stakeholders in investing or maintaining educational applications. Meanwhile, the lack of continuous usage had given a negative impact on their academic-related tasks and performance. Hence, it is important to understand the significant factors that influence learners' intentions in continuance usage of a gamified m-learning application. This will serve as an insight to the HEIs management regarding the needs and design that better suits their users' expectations. Methodology This study employed a correlational cross-sectional research design using an online survey. The participants of the final survey involved first-year students from one of the Malaysian public universities. For the final analysis, 269 responses were analysed using the partial least square-structural equation modelling (PLS-SEM) technique, which is a powerful multivariate analysis mechanism. The Expected Confirmation Model (ECM), which is a post-acceptance model, was extended with the pre-acceptance model named Extended Unified Theory of Acceptance and Use of Technology (UTAUT2), to form the research proposed model that describes the continuance intention in using a gamificationbased m-learning application. Contribution This research contributes to the body of knowledge and helps better understand users' continuance intention in the post-acceptance phase of the gamified m-learning application. It exposes information at the individual level, regarding the continuance intention of using an m-learning tool that is equipped with gamification elements. This will mostly benefit the educational resource developers in the HEIs in producing effective 'in-house' learning tools. Findings This research develops a theoretical enhancement of the Expectation Confirmation Model (ECM) that affects the HEIs' m-learning resource developers and management, dealing with IT-related behaviour. Moreover, a solid continuance usage intention conceptual model, which incorporated two important models, was also introduced. Out of all ten hypotheses, only two were not supported that are related to factors facilitating conditions and social influence. Those two factors negatively influence the HEI learners' continuance use intention. Meanwhile, the core factors for satisfaction, which are perceived usefulness and confirmation, were found to be significant. Lastly, satisfaction was proven to mediate the positive path between perceived usefulness and the continuance intention of using the gamified m-learning application. Recommendations for Practitioners This study offers insights into strategies that the HEIs' management should perform in securing continuance usage of the 'in-house' developed m-learning products. One of the strategies could be organising technology workshops that will prepare their educators in implementing the institutions' gamified teaching and learning tools. Another highlighted issue is regarding the need for faculties to design an effective approach to entice educators and learners towards applying new learning technologies. Recommendations for Researchers This study contributes to the micro-level analysis of the continuance use intention of gamification-based m-learning applications by fostering the understanding of the phenomenon at the individual level. It is recommended that other researchers extend the research model by incorporating other theories, as this study was only based on two models (i.e., ECM and UTAUT2). Additionally, a longitudinal study could be another approach that enables researchers to collect much richer data that includes a wide array of background characteristics or control variables. Another suggestion would be applying related factors that may contribute to the discovery of effective gamified m-learning application designs. Impact on Society The findings of the study show the importance of confirmation made by the applications' users towards usefulness and usage satisfaction. Confirmation and perceived usefulness also have an increasingly similar impact on users' satisfaction with the application and their subsequent continuance use intention. It is also revealed that easy-to-use products are commonly expected nowadays, as users might be reluctant to spend much time on them. On the other hand, for a specific gamification-based product, it is also expected by the users for it to be capable of giving an 'enjoyable' experience, hence motivating continuance usage. As a result, an effective gamified m-learning application or product will be able to be used by Malaysian HEI learners if the developers and stakeholders develop and evaluate the usage of their products with the consideration of the information provided by this research. Future Research Future studies could include respondents from other diploma programmes, resulting in an in-depth analysis. It is needed to support the generalizability of the findings in this study by considering larger populations from all different programmes. In addition, similar research can be done based on different circumstances; for instance, use of the gamified m-learning application during the incampus physical classes instead of virtual classes (online), which might influence the users' perception in terms of the social influence and facilitating condition. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study attempts to apply gamification to support the training of small business owners in business web development from a work-based learning perspective. Background Web design describes the process of creating a website and embodies many different aspects, such as webpage layout, content production, and graphic design. However, there are many obstacles that small business owners face when developing their websites, such as time and budget constraints, lacking technical skills, and difficulties with content creation. Methodology Based on the literature review, a gamified training program was developed for website development. The new website design and development training method was compared with the traditional lecture training method from small business owners' perspectives in the specific work-based learning context. Contribution This study contributes to the field of work-based learning by developing an innovative gamified training program for small business owners in website development learning. Findings The results confirm that the gamified training program improved learning outcomes and satisfaction. The results of this study help advance the understanding of work-based training program design and provide insights to support small business owners in learning new technologies. Recommendations for Practitioners Results confirm that this new training system is superior to the traditional lecture training method. While much attention has been directed to website design and development learning or business activities of small business owners, this study emphasizes the need for work-based learning in such a context. Recommendations for Researchers This study also shows a potential way for future research by combining technology education and small business owners' needs. Impact on Society The results of this study show the advantages of gamified training programs. For their future training program selections, small business owners should pay more attention to gamified training and education systems in the market. Furthermore, gamified training and education systems not only help small businesses but also could be adopted by mid-size or even large companies in their training programs. Future Research Future research should be conducted to investigate to what extent gamification improves work-based learning and how to design gamification to improve workbased learning. [ABSTRACT FROM AUTHOR]

Aim/Purpose The main aims of this research are to explore the moderating effects of gender on the relationships of such factors and the intention to use mobile learning, to examine the factors that influence m-learning acceptance in the universities and higher education institutions (HEI) in Iraq, and to investigate the influence of the intention to use on the actual use of mobile learning in (HEI). Background Over recent decades, mobile learning has played an increasingly important role in the teaching and learning process, especially for higher education. As such, acceptance and use of mobile learning has become a topic of interest within the education sector. In this regard, UTAUT is one of the widely used models for examining users' intention for use and acceptance of information technology. Methodology A survey method was used in this study involving a sample of 323 participants recruited from several universities in Iraq. Contribution This study has made significant contributions to the advancement of m-learning in Iraq by developing a mobile learning model that can help guide practitioners to promote and facilitate the use of such an approach in universities. Findings The findings showed that gender moderated the relationships of social influence (SI), effort expectancy (EE), and performance expectancy (PE) with respondents' intention to use m-learning. In addition, the findings confirmed the perceived enjoyment, performance expectancy (PE), effort expectancy (EE), self-efficacy (SE), and social influence (SI) had significant direct effects on intention to use m-learning. Furthermore, the respondents' intention to use or behavioral intention had a significant impact on the actual use of m-learning. Recommendations for Practitioners It is vital for university management and practitioners to encourage students about the advantages of mobile learning in higher education institutions. In Iraq, the research in mobile learning is still very new and there are few studies have analyzed the gender effect on the mobile technology acceptance in learning. This study provides a roadmap of the gender effect on variables that could influence mobile learning acceptance in higher education institutions in Iraq. Recommendations for Researchers The gender moderation effect on the factors that influence the mobile learning acceptance is important, thus the new researchers are advised to examine the gender effect on other factors that could influence mobile learning acceptance. Moreover, cross-nation studies are needed to further validate the findings of this research because it was conducted from the perspective of a developing nation where mobile learning is still in its infancy. Future studies may broaden the research to examine additional potential elements, such as the quality of services in future models, which can help enhance the understanding of learners' acceptance and continuous usage of mobile learning as well as to improve the utility of UTAUT. Impact on Society The use of mobile learning has increased in its importance for higher education around the globe, including Iraq. Clearly, mobile learning has been pervasively used in education throughout the world due to the Covid-19 pandemic. During this time, students were required to study at home for months as per governments' orders in order to avoid being affected by the virus. With mobile learning, students were able to continue their studies; otherwise, they would have missed the academic year. Academic staff and administrators should therefore encourage and employ mobile learning for instruction, student communication, and exam administration. Future Research Given that the UTAUT model was used in higher educational settings for this research, it is advised to look into its application in corporate settings to see if comparable results can be repeated or not. More research is advised to look at the moderating effects of demographic factors, such as age and place of origin, in order to shed more light on students' adoption of mobile learning in HEIs in developing nations. [ABSTRACT FROM AUTHOR]

Aim/Purpose Drawing on transactional distance theory (TDT) and collaborative learning, this research proposes a research model to examine the role of collaborative learning during the COVID-19 pandemic. It investigates the potential antecedents that influence students' academic achievements, autonomy, and satisfaction with online learning platforms. Background The coronavirus (COVID-19) epidemic devastating the world has shaken the global educational system; such a transformation compelled all educational institutes to utilize online learning platforms. Malaysian higher educational institutions were greatly concerned by this disease and faced considerable transformations that affected higher education learners. Additionally, the campus closure and movement regulations impacted traditional education. Thus, the Malaysian Government ordered students at higher education institutions to return to their hometowns and continue their studies through online learning. Therefore, online learning was the most reasonable alternative to resume the learning process. Furthermore, in the educational world, collaborative learning is pivotal to forming students' interpersonal skills. Collaborative learning practice is working in pairs or small groups to attain the learning objectives collaboratively. Collaborative learning refers to the process of acquiring knowledge in a collaborative setting as opposed to alone. Since the instructor and students are in separate locations, it is challenging for the teacher to facilitate collaborative learning. Methodology This study utilized a quantitative method; purposive sampling was implemented, and the data were collected from 260 university students, both undergraduate and postgraduate, as long as they were affected by the COVID-19 pandemic in Malaysia. The questionnaire for this research was designed to fit the research hypothesis. The items of the questionnaire have been adapted to certify the content's validity. The collected data were analyzed using Smart PLS software, which has been utilized as an essential data analysis tool. Contribution This research contributes to: (1) a better understanding of the importance of communication and connection among students-students and teachers in online learning environments, as the results suggest that the more communication between students, teachers, and the environment itself, the greater the academic achievements, learners' autonomy, and satisfaction; and (2) the role of both collaborative learning and TDT on learners' academic achievements, autonomy, and satisfaction. Findings This study advances by incorporating TDT and collaborative learning theories. This research model illustrates six main factors in online learning platforms that enhance students' academic achievements, autonomy, and satisfaction through collaborative learning. The results showed a strong association between TDT and collaborative learning regarding the online learning platforms' utilization for improving academic achievements, learners' autonomy, and satisfaction. Recommendations for Practitioners This model provided exceptional support to students during this sudden switch to online alternatives and helped them cope with the considerable challenges they faced under the current circumstances. Moreover, this model provides a guideline for higher education teachers and administrators for coping with online learning platforms. Recommendations for Researchers Drawing on the association between TDT and collaborative learning regarding the utilization of online learning platforms for improving academic achievements, learners' autonomy, and learner satisfaction, the research result presents a road map for researchers in the field of online learning. Accordingly, researchers are encouraged to utilize these theories, as they can lead to improvements among online learners in higher education institutions. Impact on Society This preliminary model, which was developed throughout this research, will be a great support to both researchers and instructors to be able to utilize and elaborate in accordance with the role of online platforms on students' satisfaction, autonomy, and academic achievements. It is critical for higher education administrators to pay more attention to the nature of communication between students and student instructors, which has been shown to have a positive influence on their academic achievements, to implement online learning. Moreover, instructors and course developers must be trained and skilled to achieve online learning platform goals. Future Research Future research could include more information about blended learning environments and their relationship to the technology acceptance model as an online learning model. Researchers may extend the model used in this study. [ABSTRACT FROM AUTHOR]