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The study aimed to analyze the influence of such factors, as cognitive engagement, learning strategies and social support on academic success and student satisfaction in online learning environments. Data were collected in a cross-sectional survey carried out in the Winter semester of 2023. Participants were 523 students recruited from universities located in Southern Italy, where the synchronous online learning modality was adopted. The questionnaires included self-reported measures assessing student satisfaction and academic achievement, social support (teacher and peer presence), and deep and shallow cognitive engagement, in an effort to collect data regarding the dynamics of online learning experiences with respect to the three interdependent presences of teaching, cognitive and social, as put forth by the Community of Inquiry (CoI) framework (Garrison et al., 2001). Descriptive analysis, bivariate associations, and regression analyses were applied to the data. Data showed different patterns of relationships between academic success and predictors. Deep cognitive engagement was positively associated with academic achievement but unrelated to satisfaction, whereas no significant associations emerged between shallow cognitive engagement, academic achievement, and satisfaction. Furthermore, social presence was found to be unrelated to students' satisfaction, deep cognitive engagement, or shallow cognitive engagement. The findings of the current study provide professionals in the field of education with suggestions for synchronous online-based teaching about ways to plan a community learning space where teacher-student interactions as well as peer interactions are fostered. This more collaborative-constructivist perspective could improve students' academic achievements.

The study's purpose is to reveal the implementer's opinions toward the use of the Station Rotation Model (SRM) of blended learning, in terms of features, challenges and effectiveness of the model including further implementation and suggestions for the station rotation model. A mixed research approach was conducted using qualitative data analysed within the quantitative method. A qualitative method approach was employed to collect data from the implementer. A semi-structured interview was conducted with the implementer (an English language teacher) to gather feedback on SRM implementation. The findings revealed that the implementer mostly mentioned fulfilling hobbies as a feature of the model, and most students faced challenges in the group working station, while the pair working station was identified as the most effective Furthermore, the results of implementer's further implementation of the model and suggestions for SRM are discussed.

The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM developed based on self-efficacy and enjoyment is expected to explain the behavior of Generation Z in accepting m-learning. This study uses a survey approach, utilizing PLS-SEM as an analysis tool and primary data collected through questionnaires. Participants in this study were 563 students who used m-learning (on class application) at the Muhammadiyah University of Purwokerto, Indonesia. The results contribute to the formulation of a successful m-learning implementation model for Generation Z. These results provide empirical support indicating that self-efficacy and perceived enjoyment cause them to use m-learning now and in the future. Generation Z, who grew up in the digital era, has a high level of proficiency in using technology. Self-efficacy increases user optimism. They are confident in their ability to complete tasks and solve problems when using m-learning. Enjoyment can increase the belief that m-learning is user-friendly and useful. The results of this study support the theory of self-efficacy which states that user beliefs serve as the best predictors of their behavior in using technology in mobile learning.

This research aims to develop a STEAM-based e-module containing critical and independent reasoning characters. The method used in this study is Research and Development (R&D). The validation of e-modules is assessed based on three aspects, including aspects of content, construction, and language. The experts who validated each aspect consisted of four experts: three lecturers and one fifth-grade teacher. The practicality test was carried out at Supriyadi Elementary School Semarang Indonesia on 15 students and five teachers. The results of Prisma e-module validation based on content aspects were declared "valid" with a V Aiken value of 0.9615, it is declared "valid" with a value of V Aiken 0.9469 in constructed aspect, and the language aspect is declared "valid" with a value of V Aiken 0.9219. Overall, aspects of Prisma's e-module were declared "valid" with an Aiken V value of 0.942. Prisma's e-module received a practicality test score of 86% from students and 96% from educators. It can be concluded that Prisma's e-module is declared "feasible" and "practical" for use in the learning process. Further research can develop e-modules that can be accessed not only in the Android program but also accessible in the iOS program.

In this paper, we describe a teaching scenario using a virtual environment (known also in the context of the 'metaverse'). This is motivated by the challenges that arise during the pandemic. More and more teaching scenarios are transferred to online learning settings, which allow learning at any time and at any time. One of the possibilities are virtual 3D environment. These allow more intensive immersion than for example video conferences. Furthermore, they offer new didactic concepts, for example, for group activities. The benefit of using virtual 3D environments we demonstrate by a concrete learning scenario: the simulation of robot programming. A further advantage when using virtual 3D environments are personal assistants (conversational/ pedagogical agents), for example, to the ease the work load borne by teachers; meanwhile, this works well also with natural language due to advantage stage of artificial intelligence implementations.

Molecular case studies (MCSs) are open educational resources that use a storytelling approach to engage students in biomolecular structure-function explorations, at the interface of biology and chemistry. Although MCSs are developed for a particular target audience with specific learning goals, they are suitable for implementation in multiple disciplinary course contexts. Detailed teaching notes included in the case study help instructors plan and prepare for their implementation in diverse contexts. A newly developed MCS was simultaneously implemented in a biochemistry and a molecular parasitology course at two different institutions. Instructors participating in this cross-institutional and multidisciplinary implementation collaboratively identified the need for quick and effective ways to bridge the gap between the MCS authors' vision and the implementing instructor's interpretation of the case-related molecular structure-function discussions. Augmented reality (AR) is an interactive and engaging experience that has been used effectively in teaching molecular sciences. Its accessibility and ease-of-use with smart devices (e.g., phones and tablets) make it an attractive option for expediting and improving both instructor preparation and classroom implementation of MCSs. In this work, we report the incorporation of ready-to-use AR objects as checkpoints in the MCS. Interacting with these AR objects facilitated instructor preparation, reduced students' cognitive load, and provided clear expectations for their learning. Based on our classroom observations, we propose that the incorporation of AR in MCSs can facilitate its successful implementation, improve the classroom experience for educators and students, and make MCSs more broadly accessible in diverse curricular settings.

Many 4-year public institutions face significant pedagogical challenges due to the high ratio of students to teaching team members. To address the issue, we developed a workflow using the programming language R as a method to rapidly grade multiple-choice questions, adjust for errors, and grade answer-dependent style multiple-choice questions, thus shifting the teaching teams' time commitment back to student interaction. We provide an example of answer-dependent style multiple-choice questions and demonstrate how the output allows for discrete analysis of questions based on various categories such as Fundamental Statements or Bloom's Taxonomy Levels. Additionally, we show how student demographics can be easily integrated to yield a holistic perspective on student performance in a course. The workflow offers dynamic grading opportunities for multiple-choice questions and versatility through its adaptability to assessment analyses. This approach to multiple-choice questions allows instructors to pinpoint factors affecting student performance and respond to changes to foster a healthy learning environment.

The challenge of creating reliable technology-based resources for science learning is a perennial challenge in Philippine education, with limited learning materials accessible to all learners. This study is about the development of a videocast embedded with physics education technology (PhET) simulation that served as supplementary learning material for grade 9 science in response to the scarcity of dependable visualization materials. The study employed the developmental research design with analysisdesign-development-implementation-evaluation (ADDIE) model as the developmental framework. The vodcast evaluation tool, achievement test questionnaire, and vodcast perception survey questionnaire for students and teachers were used in the data collection, while the Kendall's W statistic, mean, percentage, and gain score were used in the data interpretation. The teacher respondents (N=64) have moderate agreement on the ranking of topic difficulty, with Kendall's W of 0.45. The researcher-made vodcast attained an overall rating of 4.78 from experts, which implies that the vodcast can be very good material for classroom implementation. The developed achievement test has acceptable difficulty and discrimination indices. The implementation stage yielded a low normalized gain, which can be accounted for by unfocused attention during the pandemic. Nevertheless, the voicecasts were found very useful in learning projectile motion, as perceived by both students and teacher-observers.

This research is focused on assessing how the incorporation of Padlet technology affects the evaluation of historical thinking skills in high school history education. The research methodology involved a pretest-posttest approach with a randomly selected group of 70 students. The research tool employed questionnaires aligned with the study's objectives. Data analysis utilized comparative statistics, specifically the paired sample t-test. The outcomes of the study reveal a significant positive impact resulting from the integration of Padlet technology in assessing historical thinking skills. This is substantiated by the sign value being less than 0.05 for all aspects examined. Consequently, this research provides compelling evidence that this approach can serve as an effective alternative for improving the quality of history education at the high school level. The findings of this study have important implications for educators, learners, and other stakeholders. These results may be used by educators to create more successful teaching strategies that will improve their students' historical thinking and comprehension. As a personal learning tool, Padlet technology can help students comprehend the historical subjects they are studying better. For those involved, this study offers compelling proof that using Padlet technology in high school history curricula may improve its caliber.

In the current era, the use of corpora in language teaching is mainly explored in English classes as it has become a trend in education. Hence, this research aimed to identify the corpus metadata, frequently used words, and unique words related to the Islamic boarding school context to be used in the English instructional process. This research employed a mixed method combining quantitative and qualitative data analysis methods. Two English Islamic boarding school books, several articles covering the scope of Islamic boarding school, and students' speech texts were selected as the data. Then, they were analyzed using the Voyant tool. The finding showed total words of 49,970: 5,417 specific words, 0.108 vocabulary density, and a 12,980-readability index. The finding will be incorporated into instructional resources for developing Islamic boarding school students' general and/or specialized vocabulary. The words, in particular, will provide a foundation for students in constructing Islamic speech texts, delivering speeches, and using English in an Islamic boarding school environment.

The focus of this study is to investigate the effects of using Web 2.0 tools in the social studies "Global Connections" learning area on students' digital literacy levels. A quasi-experimental model was used and 38, seventh graders participated the research. The digital literacy scale, created by Ng (2012) and translated into Turkish by Hamutoglu, Güngören, Kaya-Uyanik, and Gür-Erdogan (2017) was employed for data collection. Pre-testing was carried out using the digital literacy test. Courses were imparted according to the current curriculum in the control group and through Web 2.0 tools to the experimental throughout the application. For the experimental group, WordArt, StoryJumper, Canva, YouTube and Renderforest were used in the teaching of learning outcomes, along with Edmodo, which also allowed students interacting with teacher and among themselves outside the classroom. Then a digital literacy test was administered as a post-test. Ultimately, it was determined that the experimental group's digital literacy skills differed statistically significantly from the control group. It is thought that this research, which is limited to the seventh grade "Global Connections" learning area, should be conducted at different learning areas, levels and results should be evaluated.

Purpose: This study aimed to conduct a needs analysis for developing the ethnomathematics e-module based on Sundanese Gamelan to facilitate mathematics learning in junior high school. Specifically, this study identified crucial components for module development and to gather feedback from both students and teachers regarding the learning material. Methodology: The Research and Development (R&D) method was used, specifically the Plomp model, to create e-module for mathematics learning. Qualitative data were collected from ethnomathematics experts, a mathematics teacher, and five students via purposive sampling. The instruments used for this data collection included expert validation sheets, student interview recordings, teacher questionnaires, and small group observations. Findings: The results indicated that the integration of Sundanese Gamelan ethnomathematics into junior high school mathematics e-module significantly improved students' understanding and interest in the subject. This culturally infused approach increased students' motivation and engagement, indicating a potential shift towards more inclusive and culturally responsive educational practices. Significance: The integration of Sundanese Gamelan ethnomathematics into mathematics curriculum is known for the unique blend of cultural elements with academic content, contributing to enhanced students' understanding and cultural awareness. In addition, this method offered benefits for students, teachers, curriculum developers, and ethnomathematics researchers, presenting a holistic model that combined educational innovation with cultural appreciation.

This study delves into the opportunities and challenges associated with the deployment of AI tools in the education sector. It systematically explores the potential benefits and risks inherent in utilizing these tools while specifically addressing the complexities of identifying and preventing academic dishonesty. Recognizing the ethical dimensions, the paper further outlines strategies that educational institutions can adopt to ensure the ethical and responsible use of AI tools. Emphasizing a proactive stance, the paper suggests that by implementing these strategies, schools can harness the benefits of AI tools while mitigating the risks associated with potential misuse. As the adoption of AI tools in education continues to expand, all stakeholders must stay abreast of the latest developments in the field. This knowledge equips educators to navigate the opportunities and challenges posed by AI tools, fostering a learning environment that is both secure and conducive to empowering students to realize their full potential.

This study aims to describe the 3D model's online modules effectiveness in the practicing mastery of conceptual knowledge in solar system learning using an instrument which tested 58 7th-grade respondents from one of the junior high schools in Jombang, East Java, Indonesia. The respondents were then divided without randomization into 29 respondents for the experimental group (EG), which studied using 3D models online, and 29 respondents for the control group (CG), which studied using learning resources from student books and learning media in the form of 3D models from the NASA website. The effectiveness is assessed based on the results of the conceptual knowledge test instrument with the CRI method using a quantitative descriptive approach. Based on these results, the 3D models online module in solar system learning cannot be fully effective in the practicing mastery of conceptual knowledge. When examined further, 3D model's online modules are effective in cognitive dimensions C3, learning indicators 1, 2, and 6, and conceptual knowledge sub-types 1. Furthermore, based on research results, learning the solar system using online modules with 3D models is better than using the official NASA website with student books.

Simon Fraser University in Vancouver, Canada offers two introductory calculus courses designed for students enrolled in science and engineering programs. Students identified as needing additional support based on their admission grades take the version of the course where students meet weekly for four hours instead of three. A new approach for the fourth hour was introduced in Fall 2019 splitting the class into smaller sections of 20-40 students to work in small groups on vertical whiteboards under the supervision of the instructor, complemented by peer tutors. This format introduces an active learning element that improves student performance and attitude. The project was first implemented in Fall 2019, although interrupted due to COVID-19. After returning to the in-person classroom, the whiteboard seminar program was reinstated. In Fall 2022 and Spring 2023, survey feedback was collected from both students and peer tutors for a more holistic perspective on the program. In this study, the results of these surveys are analyzed, focussing on four areas of measurement: students' satisfaction, learning calculus concepts and problem-solving techniques, the contribution of the instructor, and the contribution of the peer tutors. Exploratory factor analysis revealed three latent variables underlying student survey responses. The survey results suggest that interactions with the instructor, peer tutors, and active learning activities all contributed to students' enjoyment of the course and their perceptions of their own learning. We compared students' final course grades from Fall 2018, where the fourth hour was devoted to lecture before the program was implemented, to Fall 2019 and 2022. The data shows a decrease in the percentage of students failing the course and an increase in those earning A's and B's since the program's implementation. Additionally, survey results show that replacing a typical lecture-style hour with a whiteboard seminar improved students' attitudes and perceptions of the course.

In today's world, technology plays a significant role in shaping our daily interactions and how we connect with the world. The rapid advancements in technology have influenced many sectors, particularly education, where integrating technology is now seen as essential rather than just a luxury. As a result, the education field has adapted over time to keep up with innovations and their potential to improve the teaching and learning environment. The incorporation of technology into education has evolved from introducing computer systems in classrooms to the adoption of smartboards, tablets, and e-learning platforms. The rise of Virtual Reality (VR) technology has also opened up possibilities for hands-on learning experiences that allow students to explore and practice skills in ways that traditional teaching methods cannot. VR technology enables students to interact with content in a way that fosters a sense of presence and immersion, which can improve knowledge retention. In fields, like science, engineering, medicine, arts, and language learning, VR applications have shown promise in boosting student engagement and enhancing skills within a controlled learning environment. However, the widespread adoption of VR technology in education faces challenges. One significant obstacle is the cost of acquiring VR equipment and software which can strain budgets. Additionally, the availability of high-quality content for VR platforms poses a barrier for educators seeking to integrate VR into their teaching practices. This article delves into the use of Virtual Reality in education, and how VR can influence student learning outcomes in applications such as medicine, science, arts and language learning. Apart from the advantages of VR, the article also discusses the obstacles that are impeding the use of VR in education including concerns about costs, standardizing content and the necessity for training and support for educators. As VR technology advances and becomes widely available, it stands ready to revolutionize the landscape by offering learning opportunities that were previously beyond imagination. Through this technology, education can introduce a world of possibilities that nurture curiosity, creativity and a lifelong enthusiasm for learning.

The omnipresence of digital teaching is becoming evident along with technological advancement. Hence, teachers' acquaintance with their pedagogical skills requires refinement to improve their professionalism and stay relevant. Yet, there is limited, profound research available that has discussed this issue and highlighted its shortcomings. This article aims to write a systematic literature review (SLR) on past studies related to primary school teachers' pedagogical skills in digital teaching. The SLR methodology conforms to PRISMA writing standards, including identification, screening, eligibility, evaluation, data extraction, and analysis. Three databases, namely Web of Science, Scopus, and ERIC, were used to source relevant articles. 25 out of 324 initial articles were selected for review with three overarching themes: (i) approaches, (ii) methods, and (iii) digital teaching techniques. Subthemes under 'approaches' include general, 21st century learning, digital, and digital integration. Sub-themes under methods include thinking-oriented, physically oriented/kinesthetic, digitally oriented, a combination of thinking and digital, grouping, and guidance-oriented. Sub-themes under 'techniques' include the development of digital resources, the application of digital resources, and digital-based activities. The study's implications serve as a guide for teachers in planning and implementing digital teaching with maximum impact on their students' learning experiences.

The objectives of this research were to: 1) develop online lessons with the Google Classroom application on computer system operation for secondary 2 (Grade 8) students; 2) study pre-test and post-test academic achievement; and 3) study the students' satisfaction with the online lessons with the Google Classroom application on computer system operation for secondary 2 (Grade 8) students. The sample consisted of 20 students from secondary 2 (Grade 8) studying computational science at Sappasamit Bamrung Municipal School. They were selected for purposive sampling. The research instruments consisted of online lessons with the Google Classroom application, a quality evaluation guide towards media and content achievement tests, and evaluation forms of students' satisfaction. The data analysis statistics were the standard deviation and dependent sample t-tests. The research results indicated that: 1) the online lessons with the Google Classroom application on computer system operations had the quality of media at an excellent level with an average of 4.58, quality of contents with an average of 4.55, and efficiency criterion of 82/81. 2) The students had an average pre-test score of 17.40, while the satisfaction of students towards online lessons with Google Classroom application is at a high level." post-test was 24.35. The t-test analysis during and after learning was different at .05 statistically significant levels, and 3) students' satisfaction toward lessons with Google Classroom location at a high level of 4.49.

The ability to interact or engage with the instructor, other students, and the content i.e., to experience online student engagement, is one main difference between traditional and digital media employed in teaching and learning processes. As literature on this topic in the Turkish context has proliferated, to date, virtually no systematic reviews of this research have been carried out in order to identify potential gaps in the literature. To address this issue, this study investigated previously conducted research in chronological order on student engagement at the post-secondary level in the Turkish context using a PRISMA-based systematic review screening process. The results show that online engagement research and practices have clearly increased and diversified over time. Specifically, online engagement research in the Turkish context has tended to focus on computer science students studying in online-only, LMS-supported environments where their behavioral engagement has been investigated quantitatively. Considering these findings, this systematic review suggests that future studies in the Turkish context should examine other fields besides computer science education, focus more on collaborative tools and the social dimension of engagement, use more qualitative methods, and investigate blended environments as well as online-only.

A sudden shift to distance education during the COVID-19 pandemic in Turkiye strained teaching and learning activities, placing K-12 teachers in a novel context with challenges and opportunities to investigate. This study explores the teaching experiences and opinions of K-12 teachers during the COVID-19 pandemic, focusing on challenges, advantages, and suggestions. Search queries were executed in leading databases (DergiPark, ULAKBIM TRDizin) to locate potential studies. Twenty-two studies meeting the predetermined inclusion and exclusion criteria were subjected to a rigorous and iterative thematic analysis using the qualitative meta-synthesis approach. The results revealed significant challenges categorized into ten themes: shortcomings in technology and infrastructure, student motivation and engagement, technology literacy, and social and emotional well-being. The results also highlighted key advantages of distance education in eight categories such as learning improvement, flexibility and convenience, and digital tools and resources. Additionally, the study identified valuable suggestions that contribute to the success of distance education, such as adapting curriculum, increasing access to technology, strengthening internet infrastructure, providing teacher training and support, developing engaging and interactive instructional materials, and improving communication and collaboration between students and teachers. The study results inform the development of evidence-based practices and policies that can support K-12 teachers in providing quality online education during times of crisis.

This research investigates the intercultural usability factor of e-learning products designed for the instruction of Turkish as a foreign language. The subject of study, "Ana Dil Turkce," refers to a freely accessible and distant education platform developed by Anadolu University with the purpose of instructing non-native speakers in the Turkish language. This study employed a concurrent mixed methods research design to investigate the intercultural usability of the "Ana Dil Turkce" e-learning system. The study incorporated a qualitative component through the utilization of a case study methodology, while a cross-sectional survey design was employed to address the quantitative part. The quantitative portion of the study employed descriptive methods, whereas the qualitative portion utilized content analysis methods. The qualitative component of the study involved the participation of 25 individuals who were active and registered users in the system during the period from 2020 to 2022. Additionally, the quantitative component of the study included the participation of 211 users. The quantitative portion of the study employed a questionnaire as a method of data collection, while the qualitative component utilized a semi-structured interview format. The study's conclusions were analyzed through the integration and juxtaposition of qualitative and quantitative data. The study yielded findings regarding the cultural appropriateness of the Ana Dil Turkce e-learning objects. The findings indicate that the cultural learning objects inside the e-learning system are deemed adequate, albeit requiring further development and enrichment.

This study aims to determine the effect of using STEAM digital teaching materials on increasing creative problem-solving skills. This study has a quasi-experimental research design with a nonequivalent control group. This study employed a random sampling technique and obtained Class 8-F as the experimental class and Class 8-H as the control class. Data were collected using documentation, tests, and questionnaires. The data analysis carried out was a homogeneity test, normality test, t-test, n-gain test, and analysis of students' responses. According to this study, it can be concluded that there is an effect of STEAM digital teaching materials to increase creative problem-solving skills. The t-test results indicate a significant difference in students' average creative problem-solving skills in the experimental and control classes. The effect of STEAM digital teaching materials is proven by an increase in creative problem-solving skills, which are analyzed using N-gain, resulting in the high category (0.73) for the experimental class with STEAM digital teaching materials and the medium category (0.50) for the control class after using STEAM digital teaching materials.

Background: Dashboards play a prominent role in learning analytics (LA) research. In collaboration activities, dashboards can show traces of team participation. They are often evaluated based on students' perceived satisfaction and engagement with the dashboard. However, there is a notable methodological gap in understanding how these dashboards support the nuanced process of student reflection. Objective: This paper presents empirical evidence on how students from high and low-performing groups reflect individually on their performance while using a Learning Analytics Dashboard (LAD). Methods: We address this in the context of education in healthcare, wherein we captured actions and positioning data from a simulation-based collaborative activity and generated a collaborative LAD. A total of 41 nursing students were invited to participate in a post-hoc semi-structured individual interview to use a collaborative LAD while answering a set of prompts to reflect on their individual and group performance. Students' reflections were coded and analysed using Bain's 5R reflection framework. We used epistemic network analysis to capture the dynamic reflection process and to understand the connections between the reflection stages (from low to high). We compared how different these connections were for students in high and low-performing groups. Results and Conclusions: Our results revealed that most students were only able to achieve low and middle stages of reflection. Yet, students in low-performing groups predominantly followed low-to-middle stages of reflection. In contrast, students from high-performing groups demonstrated the ability to transition between low-to-middle and low-to-high stages of reflection. Based on these findings, we discuss implications for both research and practice, particularly emphasising the necessity to scaffold reflection when using LADs.

Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this gap by focusing on flowchart-based programming--a relatively underexplored area in educational research. To ensure relevance to the educational context, AbilixChart and Ability Storm SK902 were specifically selected for their alignment with the curriculum of the target school, where these tools are widely utilised in both teaching and extracurricular activities. This alignment allowed for a seamless integration of these tools into regular classroom practices after the study's conclusion, ensuring continued application and maximising the study's practical impact. Furthermore, integrating educational robots enhanced student engagement and provided a practical means to evaluate the accuracy of their programming skills. By doing so, our study not only contributes to filling a gap in the literature but also has the potential to influence educational practices by demonstrating the value of incorporating flowchart-based programming and robotics into the curriculum. Objectives: The present study aims to conduct an instructional experiment utilising VPI with flowchart-based programming tools. The main objective is to investigate how these tools influence 219 high school students' flow experience, programming self-efficacy, and sustained learning willingness. Methods: This study employed a pre- and post-test design with a single group and conducted an 11-week instructional experiment. The students used the Abilix Chart software and the Ability Storm SK902 kit to build an intelligent car and learn about visual programming. They were tasked with independently designing programs to solve practical problems in different scenarios. Research tools included Scales of Flow Experience, Computer Programming Self-Efficacy, Sustained Learning Willingness and Program Achievement. Results: The findings revealed that VPI effectively improved students' programming achievement, flow experience and programming self-efficacy. Students with programming learning experience surpassed their inexperienced peers in willingness to engage in sustained learning. Conversely, 4.57% of the group with lower pre-test scores and no learning experience showed more positive emotional experience than those with learning experience. Conclusions: The results indicated that VPI positively affected programming achievement, self-efficacy and flow experience. Regardless of prior programming experience, all students benefited from VPI. Additionally, self-efficacy and flow experience were key factors influencing sustained learning motivation and achievement.

Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large language models (LLMs), we expect feedback as part of learning systems to transform, especially for the context of programming. In the past, it was challenging to automate feedback for learners of programming. LLMs may create new possibilities to provide richer, and more individual feedback than ever before. Objectives: This article aims to generate specific types of feedback for introductory programming tasks using LLMs. We revisit existing feedback taxonomies to capture the specifics of the generated feedback, such as randomness, uncertainty and degrees of variation. Methods: We iteratively designed prompts for the generation of specific feedback types (as part of existing feedback taxonomies) in response to authentic student programs. We then evaluated the generated output and determined to what extent it reflected certain feedback types. Results and Conclusion: This study provides a better understanding of different feedback dimensions and characteristics. The results have implications for future feedback research with regard to, for example, feedback effects and learners' informational needs. It further provides a basis for the development of new tools and learning systems for novice programmers including feedback generated by AI.

Background: Vocabulary learning is an essential dimension of foreign language learning. The learners have a huge responsibility in this task. Among other factors, time constraints and an overall lack of maintained motivation on the part of students makes it especially challenging. Consequently, improving vocabulary learning requires strategies to motivate learners and encourage autonomous learning. Technology-Assisted Vocabulary Learning (TAVL) aims to provide solutions to this set of problems. Objectives: We aim to provide an overview of the different types of TAVL tools developed and studied since 2015 with regard to (1) tool features, (2) observed variables and research methods used in the studies and (3) impact on learners' vocabulary acquisition, motivation and engagement. Method: We conducted a systematic review of the literature between 2015 and 2023 on TAVL. After delineating our field of study and research query, we followed a rigorous methodology to extract relevant papers to answer our research questions. A total of 44 papers of different languages and academic levels were selected for this review. Results and Conclusions: We report a wide variety of features provided by TAVL tools in various contexts. We observe an overall positive influence of TAVL tools on learners' vocabulary learning, motivation, flow and engagement. We also discuss potential biases in the studies, which do not allow generalisation of the results. We conclude with recommendations for developers and researchers, including the use of more standardised experimental protocols with comparable measures, the integration of collaborative and social features, and a more central role for teachers and academic learning contexts.

Background: In recent years, the widespread use of technology in classrooms has encouraged the transition from traditional lecture methods to digital-based learning environments. Technological game-based learning platforms, such as Kahoot!, which are used to encourage students' active participation and interaction in learning environments, are used significantly by teachers and students in educational environments worldwide. Objectives: This article aims to examine the effects of Kahoot, a digital learning platform, on education through meta-analysis. This meta-analysis provides a holistic understanding of the potential impact of Kahoot on education by synthesizing the results of various experimental studies. This study evaluates the influence of Kahoot on key educational variables, such as academic achievement, retention, motivation, anxiety and attitude, which are essential for enhancing teaching methods and optimizing learning environments. Methods: The study conducted a meta-analysis following the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). A total of 43 studies that met the specified criteria were included in the sample, providing a comprehensive overview of the impact of Kahoot across different contexts. The sample was n = 1706 for the experimental group and n = 1647 for the control group. Results and Conclusion: The findings from the meta-analysis indicate that Kahoot has a significant moderate positive effect on academic achievement, with an average effect size of 0.772 (95%CI: 0.540-1.004). The analysis also shows a very large positive effect on retention, with an average effect size of 1.492, suggesting that students using Kahoot tend to have significantly higher retention compared with those who do not. For motivation, Kahoot demonstrates a large positive effect, with an average effect size of 0.960, indicating that students using Kahoot tend to be more motivated. The impact on anxiety is less clear, with a small negative effect size of -0.338, suggesting a moderate reduction in anxiety levels among students using Kahoot. Lastly, Kahoot appears to have a medium positive effect on students' attitudes towards learning, with an average effect size of 0.678. Takeaways: These results underscore the potential of Kahoot as an effective educational tool. The results of this study provide valuable guiding information for educators and policy makers by helping to optimize teaching methods and learning environments through the effective use of digital tools, such as Kahoot. The findings suggest that Kahoot can increase academic achievement, retention, motivation and attitudes and potentially reduce anxiety, making it a promising digital tool for modern educational practice.

Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye tracking use in mobile-assisted learning research over the past 20 years. Method: Fifty-two articles were identified using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis approach, and analysed based on the technology-based learning model in five key dimensions: publication information, research domains, technologies, methods, and eye tracking-related subdimensions. Results and Discussion: The findings indicate a growth in eye tracking studies from 2004 to 2023, with visual and cognitive science and educational technology being the most studied domains. Tablets were the most utilised medium, along with a usage shift towards tracking glasses. Experiment durations, participant numbers, and education levels varied across studies, but reading tasks were common. Questionnaires and tests were the main additional data collection methods, and fixation was the most frequently used category of eye tracking measures. Most studies provided no information on their defined interest areas, from which they extracted eye tracking data, and employed parametric or non-parametric procedures to compare group means for data analysis. The studies primarily explored task performance, learning strategies, and learning tools, while multimedia learning, linguistic processing, and emotion received limited attention. Implications: The systematic review highlights research limitations of current practices for attention and suggests potential avenues for future eye tracking efforts in mobile-assisted learning.

Background: The rising importance of digital technologies in everyday communication has played a key role in processes of political polarization and rising mistrust and intolerance. We suggest this crisis could be productively conceptualized as a crisis in perspective-taking--the tendency and competency to actively consider others' mental and emotional states. Objectives: This conceptual paper sets out to propose a theoretical framework that identifies the key affordances of digital platforms for promoting perspective-taking in formal educational settings (K-12 and higher education): (1) "connecting" diverse individuals, (2) "simulating" interactions with other perspectives and (3) supporting the "articulation" and sharing of perspectives. Methods: Rather than summarizing the state of existing research, this paper aims to offer a novel conceptualization that allows unpacking the interplay between research on perspective-taking and work on the affordances and constraints of digital media. We identify the three key affordances outlined above, exemplifying them by focusing on one type of digital tool and comparing them along two axes: (i) the "depth" vs. "diversity" of interactions it supports and (ii) its cultivation of "intergroup" perspective-taking vs. "interpersonal" perspective-taking. Results and Conclusions: This framework, we argue, articulates the advantages and limitations of digital tools towards engagement in perspective-taking, while providing a conceptual roadmap, and practical considerations, for researchers and practitioners interested in cultivating digitally mediated perspective-taking in educational settings.

Background: The unprecedented access to information in the 21st century entails a deep understanding of information and communication technology (ICT)-related factors in education and their impacts on learning and teaching. The role of attitudes towards ICT is a proven factor in student achievement. However, there is no consensus about the direction of this impact. Objectives: This study aimed to explore the relationship between student attitudes towards ICT including interest in ICT (INTICT), perceived ICT competence (COMPICT), perceived autonomy related to ICT use (AUTICT) and ICT in social interaction (SOIAICT), and their achievement scores for mathematics, reading, and science by analysing student-, school-, and country-level factors hierarchically in the quartiles of performance. Methods: The study group was determined as 300,279 15-year-old students from 21,903 schools in 53 countries. Descriptive and correlational analyses were carried out in addition to the hierarchical linear modelling (HLM) employed to reveal the relationship between attitudes towards ICT and academic achievement in mathematics, reading, and science through the investigation of student-, school-, and country-level factors hierarchically in the quartiles of performance. Results and Conclusions: The results detected moderate to weak relationships among the constructs of INTICT, COMPICT, AUTICT and SOIAICT. Based on the HLM findings, complex interactions between ICT attitudes and academic performance were identified with a tendency towards positive associations between specific attitude components and high achievement levels, particularly in mathematics and science. The research identified the significance of considering student-, school-, and country-level factors for high, above-average, below-average, and low achievers to comprehensively understand the role of ICT attitudes in shaping educational outcomes. Takeaways: Policymakers should design educational policies, subject-specific strategies and ICT-related interventions by considering the multifaceted factors influencing student performance across different subjects and achievement quartiles. Particularly at the school and country levels, contextual factors should be evaluated when designing interventions to support low achievers.

To promote motivation and interaction among learners for relationship education in online learning, we designed a digital gamified learning activity for relationship education combined with conceptual and reflective scaffolding. We measured the learning achievement of learners' knowledge, motivation, anxiety and flow during the activity. This study used a quasi-experimental method and consisted of a control group (traditional distance learning), experimental group A (gamification with conceptual scaffolding), and experimental group B (gamification with conceptual scaffolding and reflective scaffolding), with a total of 80 participants. The results of the study indicated that learners using this gamification design had high flow and low anxiety, and were more motivated to learn than when using traditional distance learning. The results indicated that all three groups scored significantly higher on the posttest of learning achievement than on the pretest. The two experimental groups were significantly more motivated than the control group, which means that the distance gamified relationship education activity was more motivating than the general distance learning approach. This study also found that experimental group B may have engaged in more reflection and discussion due to the additional reflective scaffolding, as the approach facilitated the use of conceptual scaffolding and promoted learners' cognitive thinking and refinement of knowledge.

This study was conducted to optimize the designs of learning guides embedded in a computer-based simulation environment. The research was based on the Cognitive Theory of Multimedia Learning and Cognitive Load Theory. We investigated computer simulations under four conditions that combined representation and imagination learning strategies. This study recruited 244 fifth-grade Taiwanese students from various backgrounds (indigenous vs. nonindigenous, 98 vs. 146; boys vs. girls, 131 vs. 113) and examined the interactions and main effects of the four experimental conditions on the students' learning of geometric area concepts. The results revealed that the computer-based simulation platform can serve as a cognitive tool to help students to explore graphs and identify formulas. Moreover, the dynamic representations and trace changing imagination strategy embedded in the learning platform as guiding tools were highly beneficial for learners; this tool moderately reduced the learners' extraneous cognitive load and improved their learning performance at the application level. The static representation and concept imagination strategy embedded in the platform as a learning guide was also noted to increase the learners' internal cognitive load, which impaired their learning performance. Notably, boys and girls adopted different learning strategies, and the overall platform appeared to be more beneficial for nonindigenous students and students with middle to high levels of cultural stimulation than for indigenous students and students with low levels of cultural stimulation.

Digital training has significantly transformed the landscape of teacher professional development, introducing various uncertainties. In this context, adaptability can play a crucial role in helping teachers cope with stress and effectively navigate new and changing scenarios. However, existing research on adaptability has not adequately addressed the specific challenges and opportunities presented by digital training, nor has it thoroughly explored the interplay between external factors and individual characteristics. Therefore, this study is based on job demands-resources (JD-R) theory to explore the school-level (school support) and individual-level (perceived value) predictors that influence teachers' digital training adaptability (DTA) and their mechanisms of action through hierarchical linear model. To this end, a questionnaire was administered to 552 teachers from 55 schools who had participated in digital training. The results of multilevel regression analyses show that (1) emotional support and cognitive support have a significant positive effect on teachers' DTA; (2) perceived value plays a mediating role in the relationship among emotional support, cognitive support, and teachers' DTA; and (3) emotional support weakens the relationship between perceived value and teachers' DTA, but cognitive support enhances this relationship. The study discusses these results further to propose feasible recommendations for building a community that improves the support system and adopts evidence-based policy-making to enhance the effectiveness and relevance of training, thereby improving teachers' DTA.

This study evaluated the effects of behavior skills training (BST) as a means to acquire and generalize self-instruction behaviors using video activity schedules (VidAS) loaded on an iPod Touch for four U.S. high school students with intellectual disabilities. Behavior skills training procedures were implemented in two different vocational training environments and evaluated using a multiple probe across participants design. Following the mastery criterion in the training environments, the generalization of self-instruction behaviors to two different vocational training environments was assessed. All participants acquired self-instruction behaviors with BST instruction. However, only three of four participants independently generalized responding to two additional vocational environments. Results and directions for future research regarding training loosely and using multiple exemplars to program for generalization are discussed.

Despite a reasonably long history in university teaching, the discussion board is relatively underreported on in Political Science courses. As instructors contemplate which online tools should be carried forward after the pandemic, the discussion board bears closer scrutiny. Commenting is a skill that improves through practice and discussion boards help students develop transferrable skills to settings beyond school, especially online settings. Discussion boards have a track record of being long assignments that, as a result, risk instructor and student fatigue. This article, in response, presents a scaled-back discussion board exercise of five weeks. In this assignment, students take on set posting and commenting responsibilities. Interestingly, students reported that they learned less when placed in structured roles and when writing on less known topics, when, in fact, their grades were stronger in each case. Questionnaire and focus group data are clear: some structure is essential on discussion boards but not too much. Another key element of the discussion board template is that students practice different methodologies. Here that includes an interview, textual analysis, a simulation, and a policy recommendation. Designed this way, discussion boards develop the ability of students to participate in mature conversations, digesting critiques and responding appropriately to peers.

Video feedback is a commonly recommended tool for online physical education (OLPE) instructors. However, there is little evidence to support its effectiveness in motor skill learning. This study investigated the impact of different forms of pedagogical guidance delivered alongside video feedback on the acquisition and retention of two-disc golf skills: the spin putt (SP) and backhand throw (BT). Forty-three college students were randomly assigned to one of the three video feedback groups: visual cue sheet (VCS), self-assessment (SA), or delayed teacher feedback (TF). During four online practice sessions, they trained on the spin putt and backhand throw techniques. Pre-, post-, and retention tests assessed their performance on both skills. The results indicate significant improvements in BT technique at posttest for both SA and VCS groups. All participants exhibited significant gains in SP technique at posttest; however, only the VCS group sustained these improvements for both disc golf skills at the retention test. No significant differences were observed between the groups for both disc golf skills at all three measurements. These findings suggest that video feedback, particularly when combined with in-the-moment guidance like VCS or SA, can effectively enhance motor skill learning in online settings. This result underscores the potential of OLPE to go beyond fitness-based activities and effectively address psychomotor learning standards. Future research should explore the long-term impact of video feedback in OLPE and identify optimal guidance strategies for diverse motor skills and demographics.