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Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based teaching approach) can (1) promote pre-service teachers' DL; (2) enhance their learning motivation; and (3) improve their cognitive load. Methods: The research was conducted based on a pre-test-post-test control group quasi-experimental design. With 20 participants in the experimental group and 21 in the control group, a total of 41 pre-service teachers were included in the study. The pre-service teachers in the experimental group adopted the FVPA-based teaching approach, and those in the control group adopted the traditional peer assessment-based learning approach. Results and Conclusions: The experimental group participants outperformed the control group participants in DL, learning motivation, and cognitive load. FVPA was conducive to helping pre-service teachers critically interpret data, understand their teaching and learning issues, and improve self-reflection. The findings indicate a reciprocal relationship between learning motivation and DL; improving the learning motivation of pre-service teachers could promote their DL. Implications: This study contributes to current knowledge by providing empirical evidence on the benefits of an FVPA-based teaching approach in improving pre-service teachers' DL, motivation, and cognitive load. The study findings, limitations, and prospects for future research are discussed.

Background: Education is often the primary arena for exploring and integrating new technologies. AI and human-machine communication (HMC) are prevalent in the classroom, yet we are still learning how student perceptions of these tools will impact education. Objectives: We sought to understand student perceptions of credibility related to written feedback attributed to a human or an AI grader (Study One). We also investigated how corrective messages containing verbal immediacy and social support influenced student perceptions of an AI grader's credibility based on feedback in an evaluated essay (Study Two). Methods: We used an online experimental design to assess the perceived credibility of a grader. In Study One, we randomly assigned students (N = 155) to a condition that contained a paragraph they were told was evaluated by a human or an AI grader. In Study Two (N = 222), we investigated ways of increasing perceptions of an AI grader's credibility by writing messages with higher/lower levels of immediacy and social support. Results: In Study One, the students rated both the human and AI grader as credible (yet rated the AI grader lower on goodwill). The data suggest that students in Study Two attributed more goodwill (i.e., caring) to the AI grader when the feedback included more verbal immediacy. Conclusions: Our results highlight the importance of student perceptions and communication styles when integrating technology into education. The two studies imply that students viewed the human and AI graders as competent, caring, and trustworthy, specifically when feedback included more immediacy cues.

Background: The emergence of Generative Artificial Intelligence has brought a number of ethical and practical issues to higher education. Solid experimental evidence is yet inadequate to set the functional rules for the new technology. Objectives: The objective of this study is to analyse the experience of undergraduate students' interaction with ChatGPT and contribute to identifying the problems arising from the widespread use of artificial intelligence. Methods: Junior university students (N = 25) were assigned the task of working on their seminar essays with the aid of ChatGPT. Most students were novices with this tool (the study was conducted in the spring of 2023). Their essays were analysed qualitatively, according to the principles of the general inductive approach. Results and Conclusions: The initial attitudes towards artificial intelligence were almost equally distributed from enthusiastic to indifferent and cautious, with one student refusing to interact with the chatbot on ideological grounds. After the first experience, most of the students declared themselves adopters of the new technology. We have found some evidence for enhancing critical thinking competence when using ChatGPT, as well as examples of unquestioned reliance on its outputs. The tendency to personification of the chatbot was apparent in the students' essays. Implications: The findings show how easily the students embrace artificial intelligence and suggest a failure of any attempts for its strict regulation. This, on the other hand, underlines the need for emphasis on personal and research-oriented approaches in teaching and learning.

Background: Delivering effective feedback to large groups of students represents a challenge for the academic staff at universities. Research suggests that undergraduate students often ignore the Elaborated Feedback (EF) received via digital learning environments. This may be because instructors provide feedback in written format instead of using more engaging channels (e.g., audiovisual). Objectives: This quasi-experimental study examines the extent to which feedback format (video vs. written) influences students' perceptions of feedback, their decision to access EF messages related to high-stakes assignments in digital environments, and its impact on academic performance, while considering the effect of their academic engagement. Methods: A total of 171 undergraduate students received generic EF messages through a learning platform the day after submitting each course assignment. 78 students received EF in written format and 93 in video format. Results and Conclusions: Our results showed that feedback format influenced students' decision to access EF and their academic performance, but not their feedback perceptions. Students in the written-feedback group accessed EF messages more often, but students who received video-feedback performed better than their counterparts in the written-feedback group. Moderation analysis showed that the relationship between the feedback format and students' academic performance was moderated by their academic engagement, suggesting that students with lower levels of academic engagement may benefit from video-feedback. Takeaways: The results reveal that using video feedback in digital environments may influence students' decisions to process EF and their academic achievement, especially when it comes to students with lower levels of academic engagement.

Background: A resurgence in teaching coding in primary school classrooms has led to a pedagogical swing towards using physical computing and coding to develop students' use of algorithms, computational thinking, and problem-solving skills. Two obstacles impede the optimal development of these objectives: the availability of a suitable pedagogy and an instructional sequencing model for primary school teachers to effectively present coding and computational thinking concepts and skills to students in alignment with their developmental stage. Objective: This study aims to address both obstacles by introducing the 3C Model, a newly developed instructional sequence grounded in established pedagogies and designed to effectively teach coding and computational thinking skills to primary school students based on their developmental stage. Methods: The qualitative study employed two data sources to triangulate findings, using: (1) semi-structured interviews and thematic analysis to investigate 11 primary school students' perceptions of their learning experiences with the 3C Model, and (2) researcher observations along with reflections of the students' developed and demonstrated learning through the method of knowing-in-action, reflection-in-action, and reflection-on-action. Results and Conclusions: The findings of this study fill a gap in the existing literature by demonstrating that the pedagogical and sequential approach embedded in the 3C Model not only enhanced students' engagement levels but also resulted in improved curriculum learning outcomes. The 3C Model provides teachers with a coherent and age-appropriate instructional structure. It uses physical computing devices and digital coding platforms to introduce coding concepts, furthering the development of computational thinking skills in primary school students beyond mere procedural and rote learning. Implications: The study holds important implications for practical applications, as it addresses an absence in the literature of an established pedagogy and instructional sequencing model for effectively teaching coding and computational thinking concepts and skills to primary school students. Drawing on established pedagogical and developmental learning theories, the 3C Model provides primary school teachers with an engaging, age-appropriate instructional method that avoids decontextualised teaching and surface-based learning. Instead, it encourages collaborative student work and contextualised learning, steering away from isolated and generic approaches.

Background: With the rapid proliferation of online education, it is incumbent upon teachers to find ways to provide online students with science laboratory experiences. Existing research on online labs focuses heavily on computer-supported inquiry learning environments, such as virtual laboratories and remote laboratories. There are limited studies on kitchen labs or home labs. Objectives: This study investigated the effectiveness of home labs using lab kits from two perspectives: students' perceptions and experiences of labs conducted in a home environment, as well as whether home labs help with students' knowledge acquisition. Methods: This study employed lab quizzes to assess students' performance and lab reports to evaluate students' ability to interpret the lab results accurately in the authentic home lab contexts. Surveys and semi-structured interviews were used to collect students' perceptions and experience data regarding these hands-on experiments at home. Results and Conclusions: We found that students' perceptions of home labs are similar to that of face-to-face labs, but they generally perceive home labs to be less complex. Students' performances on lab quizzes and lab reports indicate that the majority of them were able to apply the key scientific concepts to accurately interpret lab results in authentic home lab contexts. Students perceived that home labs provide flexibility and help in connecting learning to the real world. However, they also face challenges such as unexpected results and ambiguity during the process. Implications: Based on the key findings from this study and our reflections, four practice guidelines were provided for teaching hands-on experiments online.

Background: The impact of digital gamified language learning on language achievement has been corroborated in the literature; however, its impact on language achievement, especially in the English as a foreign language (EFL) context needs further investigation. In addition, the related literature has not sufficiently confirmed the impact of digital gamified language learning on some psychological domains of EFL learning. Objectives: This study, therefore, employed a sequential explanatory mixed-methods approach to explore the effects of digital gamified language learning using a mobile application (app) affordances on EFL learners' language achievement, foreign language enjoyment (FLE), and ideal second language (L2) self. Methods: To this end, 36 EFL learners were randomly divided into two groups; one group was randomly assigned to the digital class, including 19 EFL learners, and the other group was assigned to the non-digital class, consisting of 17 EFL learners. The digital learners did the digital gamified language learning activities individually and interactively and received peer and instructor feedback, whilst the non-digital learners did the same language learning activities in printed format and received peer and instructor feedback. A language achievement test, the FLE scale, and the ideal L2 self-scale were used to collect the quantitative data and an individual semi-structured interview was carried out to gather the qualitative data. Results and Conclusions: One-way ANCOVA, used to analyse the quantitative data, revealed that the digital and non-digital classes improved the EFL learners' language achievement, FLE, and ideal L2 self; however, the digital learners outperformed their non-digital counterparts in all the measures. Thematic analysis, utilised to analyse the qualitative data, uncovered some themes about the digital learners' positive and negative attitudes and perceptions towards the digital gamified language learning activities, clarifying the quantitative findings. Implications: Pedagogical implications are discussed.

Background: Given students' lack of self-directed learning skills and the growing concern about implementing massive online open courses (MOOCs) in K12 education, learning strategies are needed to facilitate MOOC learning. Many studies have provided different strategies for effective learning in MOOCs. However, there is still limited research to confirm whether these strategies effectively support MOOC learning when deployed by secondary schools, which are not MOOC developers. Objectives: This mixed-method study examines the provision of different learning strategies, including a learning guide, an academic mentoring programme, a training workshop, and a reimbursement scheme, and investigates the impact of these strategies on student learning in MOOCs. Methods: The study uses two data sources: (1) surveys with 40 participants and (2) semi-structured interviews with 12 participants. The quantitative data were analysed with descriptive statistics and Fisher's exact test, and the qualitative data were analysed with thematic analysis. Results and Conclusion: The findings indicate that MOOC learners had positive attitudes towards the overall school support, with mentoring enjoying great popularity amongst the students. In terms of the effectiveness of the school support, the mentoring programme and reimbursement scheme were more effective than the university training and learning guide. The paper discusses the implications for researchers and educators.

Background: Introducing new technologies in education sparks debates, disrupting traditional practices, and requiring teacher adaptation. ChatGPT is an example. Research explores its benefits and concerns in education, with recommendations for classroom use. Nevertheless, limited evidence supports ChatGPT as a tool for supporting English as a Foreign Language (EFL) students' research competency. Moreover, while the literature primarily focuses on the perspectives of scholars and teachers, it is essential to incorporate students' viewpoints in order to maximize the potential of this technology. Objectives: The present study investigated EFL undergraduates' perceptions and practices of ChatGPT as a tool for promoting their research competency. Additionally, the study examined the potential influence of metacognitive awareness (MA) levels in this context. Methods: The study utilized a mixed-method research design, collecting quantitative and qualitative data from 27 EFL undergraduates (12 with low MA and 15 with high MA) over one semester. Data sources included a self-report questionnaire, self-study log, and semi-structured interviews. Results and conclusions: Quantitative analysis showed significant differences between low and high MA groups in their perceptions of ChatGPT (U = 37.500, Z = 2.570). Regression analysis revealed a positive correlation between MA scores and students' perceptions and practices of ChatGPT. Qualitative analysis revealed diverse perceptions and practices of ChatGPT between the high MA and low MA groups, showcasing behaviours ranging from replication to using ChatGPT as a thought-stimulating and supportive tool, accessing supplementary information, and seeking guidance. Key factors for effective ChatGPT use included prompt formulation, systematic thinking, self-regulation strategies, and trust in AI.

Background: The number of artificial intelligence (AI) literacy studies in K-12 education has recently increased, with most research focusing on primary and secondary education contexts. Little research focuses on AI literacy programs in early childhood education. Objectives: The aim of this mixed-methods study is to examine the feasibility of an AI literacy program called "AI4KG" and explore how it might affect kindergarteners' perceptions of robots and attitudes towards engineering and science. Methods: A total of 26 child-parent dyads recruited from a Hong Kong kindergarten were involved in this study, consisting of 26 children (M[subscript age] = 4 years, SD = 0.28) and their parents. Quantitative and qualitative data were collected through surveys and interviews designed to explore children's perceptions of robots and attitudes towards engineering and science, and parents' perceptions of the AI4KG intervention. Results: It is found that children have increased their perceptions of robots after the AI literacy program, but the AI4KG curriculum had no significant effects on kindergarten children's engineering and science attitudes. Most parents (22 out of 26) agreed that their children's AI knowledge, AI skills, and AI attitudes have been enhanced after learning through the AI4KG curriculum. Conclusions: This study suggests that the AI4KG curriculum is potentially effective in promoting early AI literacy and favourable attitudes towards the technology, but further research is needed to develop age-appropriate measures and assess its long-term impact on children's education and career paths.

Background: Research into online exams in higher education has grown significantly, especially as they became common practice during the COVID-19 pandemic. However, previous studies focused on understanding individual factors that relate to students' dispositions towards online exams in 'traditional' universities. Moreover, there is little knowledge on university distance learning students' experience of transitioning from in-person to online exams. Objectives: This study investigates the acceptance and satisfaction of university distance learning students in their transitioning from in-person to online exams, through multiple factors. Methods: We employed a mixed-methods study to understand the relationship between assessment and online exam factors (e.g., revision and online exam satisfaction, assessment competencies, invigilation acceptance, exam anxiety and workspace satisfaction). Cluster analysis and interview data contributed to our understanding of students who are 'strongly positive' and 'less positive' towards online exams. Results and Conclusions: Our findings highlight the overall importance of increasing student confidence by building their assessment competencies throughout their studies and familiarising them early with the technologies and formats to be used in the actual exam. We also shed light on particular student characteristics that relate to reduced online exam acceptance, such as students with disabilities, caring responsibilities and mental health issues, or students who lack access to the necessary technology. Implications: The findings and recommendations of this research contribute to the wider agenda of designing fair and trustworthy online assessment, including exams, for the future.

Background Study: As flipped learning is a flexible pedagogical methodology to tailor students' needs and maximize the learning effects, this study integrated peer learning with MosoTeach-supported flipped mode in an undergraduate blended EFL course. MosoTeach is a popular online learning platform in China with a variety of learning resources. Objectives: The study aimed to test the impact of MosoTeach flipped learning (MTFL) mode on undergraduate EFL students' perceived motivation, participation, feedback, and test performance. Methods: A quasi-experimental design was carried out in Z university during the spring semester of 2020, with the experimental group (n = 34) adopting the MTFL model and a control group (n = 33) the non-flipped mode. Results and Conclusions: The independent t-test results showed that the experimental MTFL group outperformed the control group in post-test scores, and a positive correlation was found in the relationship between the experimental MTFL group's post-test scores and MosoTeach learning experience points (LEPs). Moreover, the course perception questionnaire survey indicated a higher level of students' perceived motivation, participation, and feedback in the experimental MTFL group, which corresponded to the results of the content analysis of students' responses to open-ended questions and reflective reports. But students in both groups experienced challenges such as isolation, procrastination and technological anxiety.

Background: Goal setting has been established in the literature as a critical component of self-regulated learning and for effective problem-solving. Yet, surprisingly little attention has been focused on goal-directed behaviour in digital game-based learning environments (GBLEs) despite their expanding use in educational contexts. Objectives: The current study examined the impact of goal assignment in a GBLE aligned with curricular objectives and played in a classroom context. Methods: Eighth-grade students (N = 59) in the experiment were randomly assigned to either a mastery goal condition or a performance goal condition before playing "Crystal Island--Outbreak". Goal orientation was measured before gameplay, monitoring judgements assessed during gameplay, and enjoyment was measured after game play. Results and Conclusions: Two important results emerged that contribute to the existing literature on goals and GBLEs. First, assignment to the mastery goal condition resulted in significantly higher enjoyment ratings and monitoring judgements but not game performance while considering the influence of pre-existing goal-orientation. Second, self-reported mastery goal orientation and videogame play frequency predicted enjoyment in the game. Implications: The results suggest that enjoyment can be facilitated by orienting students to adopt mastery goals and that developers should consider integrating mastery-based instructions in their GBLEs. Moreover, instructional goals can influence students regardless of incoming goal orientations.

Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information retention. The second objective is to compare information retention from AR engagement with information retention from exposure to identical 3D content delivered via instructional video. Finally, the third objective explores students' perceptions of AR as a learning environment. Methods: Sixty-five college students participated in a two-arm experiment followed by semi-structured interviews. Results and Conclusion: AR can efficiently deliver a meaningful learning experience and promotes information retention. Nevertheless, AR's interactive features and novelty may distract learners while they engage with the virtual environment. Objective data obtained through eye tracking and video monitoring showed similar levels of engagement with a 3D model for both environments. While both AR and video groups showed significant knowledge gain from pre to post-intervention, the video format was overall significantly more effective than AR in increasing topic-related information retention. However, participants preferred the AR learning environment significantly more than the video. Takeaways: Although effective, AR is still a distracting instructional environment. Designing learning experiences tailored explicitly for AR environments requires additional research to ensure its successful deployment as a learning tool.

Background: The present study analyses the design of programming literacy in the sixth grade of Primary Education, starting from the use of simple activities with visual block-based programming, through "Scratch," and progressively linking difficulty to the use of the "Unity" engine, and the "C#" language, with simple activities identical to those created in "Scratch." Objectives: This research aims to evaluate future teachers' abilities and attitudes regarding programming and its educational possibilities. We intend to evaluate the viability of a teaching proposal that combines a visual block-based programming environment and a more advanced one, based on C#. Method: In the settings of two public Spanish universities, we analyse the possibilities in the training of future teachers who are studying for a degree in Primary Education Teaching and a degree in Pedagogy. Based on a test and three scales, descriptive data and statistical inference are detailed through a quasi-experimental design with a Student's t-test in the first dimension, and a Wilcoxon test in the second dimension. Results: The participants improved their performance and attitudes towards programming with the intervention of the study in the use of coding. Conclusions: It can be concluded that coding is essential in teacher training, and that a greater presence of programming training in higher education is essential. The benefits are visible in the pedagogical approach of coding related to creativity, innovation, motivation, an active approach and interest, highlighting the fact that the implementation of visual block-based programming by blocks and engines is feasible in Elementary Education. The training proposal--provided by appropriate progression, selection, and sequencing of content--fosters basic and practical teacher training, and this can be defined as an apt training solution.

Background: Computer-based scaffolding has been intensively used to facilitate students' self-regulated learning (SRL). However, most previous studies investigated how computer-based scaffoldings affected the cognitive aspect of SRL, such as knowledge gains and understanding levels. In contrast, more evidence is needed to examine the effects of scaffolding on the metacognitive dimension and efficiency outcome of SRL. Objectives: This study aims to examine the role of computer-based scaffolding in students' metacognitive monitoring and problem-solving efficiency. Methods: Seventy-two medical students completed two clinical reasoning tasks in BioWorld, an intelligent tutoring system (ITS) designed for promoting medical students' diagnostic expertise. During solving the tasks, students were asked to report their confidence judgements about proposed diagnoses. Computer trace data were used to identify task completion time (CT) and students' use of three scaffolding types, that is, conceptual, strategic, and metacognitive. Then we calculated students' metacognitive monitoring accuracy (i.e., calibration) and problem-solving efficiency. Results and Conclusions: One-sample t-test demonstrated that students inaccurately monitored their learning processes and were overconfident in both tasks. Linear mixed-effects models (LMMs) indicated that the intensive use of metacognitive scaffolding positively predicted students' metacognitive monitoring accuracy. Moreover, strategic scaffolding was negatively related to problem-solving efficiency, whereas metacognitive scaffolding positively influenced problem-solving efficiency. Takeaways: This study shows the importance of metacognitive scaffolding in improving the accuracy of metacognitive monitoring and problem-solving efficiency. Findings from this study provide new insights for instructors and ITS developers to optimise the design of scaffoldings.

Background: Considerable evidence suggests that students' achievement emotions are important contributors to their learning and success online. It is, therefore, essential to understand and support students' emotional experiences to enhance online education, especially under the COVID-19 context. However, to date, very few studies have investigated how students' achievement emotions might be affected by teaching and learning factors in online learning environments. Objectives: Based on Pekrun's (2006) control-value theory of achievement emotions, this study examined the influence of students' perceived online teaching quality and appraisals of control and value on their achievement emotions in an online second language (L2) learning context instigated by the COVID-19. Methods: Data were collected using an online survey of 1503 undergraduates from ten universities across different regions of China. Confirmatory factor analyses (CFA) were performed to test the validity of the instruments and structural equation modelling were conducted to examine the relations between L2 teaching and learning variables. Results and Conclusions: Results revealed that perceived teacher internet and communication technology competence had positive effects on enjoyment, but negative effects on anxiety and boredom, and these effects were fully mediated by perceived control and/or value. Perceived chaotic teaching structure (CTS) had reverse effects for the three emotions. Perceived CTS effects on enjoyment and anxiety were fully and partially mediated by perceived control, respectively. Takeaways: Online teaching quality is critical for students' appraisals and emotions towards L2 learning. Teachers should strive to improve online teaching quality and design interventions targeting students' perceived control and value to temper their affective experiences associated with the crisis-prompted online teaching practices.

Background: Integration of digital technologies in schools raises the need of students to master technological, cognitive, and social digital literacy (DL) competencies. Objectives: Based on Hofstede's dimensional paradigm for defining culture, we address the cultural context and examine perceived and actual DL of Arabic-speaking minority students in Israel. Methods: First, 402 Arabic-speaking minority students from elementary Arabic-speaking schools and 232 students from middle schools reported their DL based on the DL framework. Among them, 347 elementary and 205 middle school students performed a battery of DL tasks. Findings and Conclusions: The findings revealed a very low level of DL performance by minority students in both elementary and middle schools. The highest performance score was in information literacy: M = 1.49 and M = 1.55 out of 5.00 for elementary and middle school students respectively. Despite ubiquitous use of social networks, the lowest score was obtained in social-emotional literacy--0.23 for both elementary and middle school students. In contrast to performance, both elementary and middle school minority students estimated their digital literacy competencies as high or very high. Among the elementary students, a weak correlation was found between their DL perceptions and performance of the photo-visual, branching, and social-emotional literacies. Among the middle school students, the only significant correlation was found between perceptions and performance of reproduction literacy. The findings raise the need to improve DL competencies of minority students and develop their metacognitive abilities. This helps to assess their DL more accurately, in order to ensure their successful functioning in digital environments. Theoretical and educational implications of the findings are discussed.

Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using a gamified dashboard in a large, introductory STEM course. Methods: We examined two groups of students enrolled in different sections of a one-semester-long physical geology course with a total enrollment of 223 students. The only difference between the groups was that one had access to the dashboard. The data collection included students' assignments, overall performances, and exam scores. Students in both sections completed a Science Literacy Concept Inventory survey at the beginning and end of the term. Additionally, students completed an end-of-term survey containing open-ended questions on their experience and interactions with specific elements. Results: Students shared mostly positive comments about their experience with the dashboard, and the final grade of students with access to the dashboard was 13% higher, on average, compared to their peers in the non-dashboard section. Conclusion: With low costs and little time invested, gamified dashboards could have a significant impact on student performance in large STEM lecture courses.

Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL profiles. Objectives: We present the insights derived from a study that measured motivation and the learning strategies used by 198 students of a university entry-level, business school, BL course to develop an understanding of students' SRL processes. Methods: The Strategies for Learning Questionnaire (MSLQ) was used to survey 198 students three times during a semester to investigate SRL profiles and how they unfolded as the course progressed using a person-oriented approach. Through a clustering approach, we focus on MSLQ's motivation aspects as its importance has been emphasised by different SRL theories, and extant research into motivation in learning analytics (LA) is still lacking. Results and Conclusions: Through the longitudinal clustering approach, we identified minimally, average, and highly SRL profiles. We acknowledged that students might change their SRL profiles as the course progressed as a result of feedback they received.

Background: Online learning has recently surged due to the COVID-19 global pandemic. Because of the pandemic, many universities were forced to move to online learning, and various online teaching and learning environments emerged, both asynchronous and synchronous. Objective: This study explores how a large university in the Southeastern United States of America converted an in-person Lean Manufacturing professional course into synchronous online learning for industry participants. Method: The study analysed the performance of 212 in-person and 43 online industry participants and examined the views of online participants about the training. Paired t-tests, one-way multivariate analysis of covariance (MANCOVA), and univariate analysis of covariance (ANCOVA) were utilized to evaluate the performance of the in-person and online groups on the three competencies (Lean culture, problem-solving and Lean systems). Results and Conclusion: Both online and in-person programs performed equally well in two Lean Manufacturing competencies: Lean systems and problem solving. The online program outperformed the in-person program in the third competency, Lean culture. Overall, the participants had a positive experience with the structure and organization of the online program, and their impression of the online learning environment for the program was positive. The study findings indicated that Lean Manufacturing could be trained effectively online and in person. Best practices are suggested for the conversion of in-person to synchronous online engineering continuing education programs.

Background: Learning Analytics (LA) is an emerging field concerned with measuring, collecting, and analysing data about learners and their contexts to gain insights into learning processes. As the technology of Learning Analytics is evolving, many systems are being implemented. In this context, it is essential to understand stakeholders' expectations of LA across Higher Education Institutions (HEIs) for large-scale implementations that take their needs into account. Objectives: This study aims to contribute to knowledge about individual LA expectations of European higher education students. It may facilitate the strategy of stakeholder buy-in, the transfer of LA insights across HEIs, and the development of international best practices and guidelines. Methods: To this end, the study employs a 'Student Expectations of Learning Analytics Questionnaire' (SELAQ) survey of 417 students at the Goethe University Frankfurt (Germany) Based on this data, Multiple Linear Regressions are applied to determine how these students position themselves compared to students from Madrid (Spain), Edinburgh (United Kingdom) and the Netherlands, where SELAQ had already been implemented at HEIs. Results and Conclusions: The results show that students' expectations at Goethe University Frankfurt are rather homogeneous regarding 'LA Ethics and Privacy' and 'LA Service Features'. Furthermore, we found that European students generally show a consistent pattern of expectations of LA with a high degree of similarity across the HEIs examined. European HEIs face challenges more similar than anticipated. The HEI experience with implementing LA can be more easily transferred to other HEIs, suggesting standardized LA rather than tailor-made solutions designed from scratch.

Background: The use of e-exams in higher education is increasing. However, the role of student diversity in the acceptance of e-exams is an under-researched topic. In the current study, we considered student diversity in terms of three sociodemographic characteristics (age, gender, and second language) and three dispositional student characteristics (computer anxiety, test anxiety, and technology openness). Objectives: The main objective of this study was to investigate the relationship between student diversity and acceptance of e-exams. Methods: Our research combined cross-sectional analyses (N = 1639) with data from a natural experiment on the introduction of e-exams versus the established paper-pencil exams (N = 626) and used both self-report and institutional data. Sociodemographic and dispositional characteristics were indirectly related to pre-exam acceptance via expectancy variables from the Technology Acceptance Model framework. Results and Conclusions: Comparisons of post-exam acceptance showed that practical experience with the e-exam led to a significant increase in e-exam acceptance, and that students with low openness toward technology particularly benefited from this effect. Students' exam performance (i.e., grades) was unrelated to the exam format or their pre-exam acceptance of the e-exam format, and this was true across students' sociodemographic and dispositional characteristics. Takeaway: Student diversity plays a role in e-exam acceptance, but its influence is mitigated by first-hand experience with e-exams. The practical implications for higher education institutions aiming to implement e-exams are discussed.

Introduction: Virtual worlds (VWs) are immersive three-dimensional environments, accessible simultaneously to multiple users, and described as shared, simulated spaces, whose inhabitants represented as avatars. VWs enable freedom of expression. Using VWs in educational contexts requires a shift from teacher-centered instruction to facilitation of student-centered learning practices. Method: This study explores the degree of teacher centrality (Sage-on-the-stage, Facilitator, Guide-on-the-side, or Partner), pedagogical strategies used in the integration of an Open Sim-based VW learning platform in face-to-face K-12 classrooms, and consistency between the perspectives of teachers and students on these topics. We conducted semi-structured interviews followed by observations of actual VW environments with 12 elementary teachers of different subject-matters and 11 fifth and sixth graders who learn with VWs. Findings: Although all teaching prototypes were present in the data, the most dominant teaching prototypes in the VW environment were 'Guide-on-the-side' and 'Facilitator', while 'Sage-on-the-stage' and 'Partner' were less frequent. The findings indicate that the most prevalent pedagogical strategies used to teach in VW-enhanced classrooms were Experiential Learning, followed by Training practice and modeling, Project-based learning, Game-based learning, and Collaborative learning. Minor differences were found between the perspectives of teachers and students regarding teaching prototypes and the degree of teacher centrality in the classroom. Importantly, both teachers and students positioned students as the main designers of learning activities in the VW environment. Implications: The findings of this pioneer research provide insights regarding the teaching prototypes and the degree of teacher centrality in the VW learning environment that can help improve teaching processes and professional training courses in virtual 3D environments.

Background: The emergence of the COVID-19 and the resulting global pandemic has ushered in far-reaching changes for countries across the world, not least of which are changes to their education systems. With traditional location-based exams no longer possible at universities, the uptake of online proctored exams (OPE) has occurred at a pace not seen prior to the pandemic. Students' experiences of online proctored exams during the pandemic are reasonably well-understood in terms of digital access and ease of use of the technology. However, less is known about students' perceptions of digital confidence and competence to complete an online exam, both of which are important digital equity considerations. Objectives: This study investigates students' digital confidence and competence to undertake online proctored exams to determine whether issues of equity exist for students. Methods: This study reports the results of a survey (N = 761) of one university's students' experiences of end-of-semester online proctored exams in New Zealand. Results: Most students were positive about online exams, felt reasonably confident to complete an exam, and had the necessary digital access (i.e., devices, internet) and competence to succeed. However, digital inequalities were found between students' perceptions of digital competence based on ethnicity. While more time learning online equated to increasing self-reported digital competence for most ethnic groups, this was not the case for Pacific learners. Takeaways: Perceptions of low digital competence can contribute to digital inequalities. Educators can support learners to develop positive perceptions of digital competence by teaching digital literacy skills.

Background: Being easy to learn and fun, block-based programming tools are widely used to teach students introductory programming. Scratch and LEGO robots are two popular block-based programming tools. However, the objects they manipulate are completely different. Scratch manipulates graphical virtual sprites, whereas LEGO robots manipulate physical robots. Different manipulating objects may bring students varied learning experiences. Objectives: This study compared undergraduate students' learning engagement and flow experience when programming on Scratch and LEGO robots. Methods: The study was conducted in a programming course which involved 28 Chinese undergraduates. At the end of the 14-week course, all students were requested to complete the questionnaire twice, one for their perceptions of Scratch and the other for those of LEGO robotics. Three semi-structured focus-group interviews were also conducted for students' perceptions of the course. Results and Conclusions: The results showed that LEGO robots scored significantly higher on behavioural and emotional engagement, while cognitive engagement was not significantly different. As for the flow experience, Scratch provided students with a greater sense of control, while LEGO robots allowed students to experience temporal distortion. There were no significant differences in terms of clear goals and immediate feedback. Takeaways: Our study contributes to a better understanding of students' engagement and flow experience in block-based programming and helps teachers select appropriate programming tools for teaching.

Background: The existing literature has predominantly focused on instructor social presence in videos in an asynchronous learning environment and little is known about student social presence on webcam in online learning in the context of COVID-19. Objectives: This paper therefore contrasts students' and teachers' perspectives on student social presence on webcam in synchronous online teaching through co-orientation analysis. Methods: Data were collected through an online questionnaire with 14 statements that measured participants' perceptions of webcam use in three constructs in social presence (i.e., emotional expression, open communication, and cohesion). 154 students and 36 teachers from two higher education institutions in Hong Kong responded to the questionnaire, and their responses were analysed using the co-orientation model. Results and conclusion: Results reveal the perceptual gaps between teachers and students on the use of webcam to promote student social presence by showing how teachers were comparatively more positive about its impacts for learning and consistently overestimated students' preference for it. Through analysing individual constructs/items, this paper argues that using webcams in synchronous online learning could enhance student social presence only to a limited extent in that it may help improve emotional expression and open communication but not cohesion. Implications: The paper advises against the adoption of a clear-cut policy that webcams should be either recommended or not recommended for online learning. Instead, teachers should take into account students' perspective to find out the types of activities that are apt for using webcams in online learning, and reflective tasks and oral assessments were amongst the ones considered appropriate by students in the study.

Background: Formative assessments are vital for supporting learning and performance but are also considered to increase the workload of teachers. As self-assessments in higher education are increasingly facilitated via digital learning environments allowing to offer direct feedback and tracking students' digital learning behaviour these constraints might be reduced. Yet, learning analytics do not make sufficient use of data on assessments. Aims: This exploratory case study uses learning analytics methods for investigating students' engagement with self-assessments and how this relates to performance in the final exam and self-reported self-testing strategies. Materials & Methods: The research study has been conducted at a European university in a twelve-weeks course of a Bachelor's program in Economic and Business Education including n[subscript enroll] = 159 participants. During the semester, students were offered nine self-assessments each including three to eight tasks plus one mid-term and one exam-preparation self-assessment including all prior self-assessments tasks. The self-assessment interaction data for each student included: the results of the last self-assessment attempt, the number of processed self-assessment tasks, and the time spent on the last self-assessment attempt, the total self-assessment attempts, and the first as well as last access of each self-assessment. Data analytics included unsupervised machine learning and process mining approaches. Results: Findings indicate that students use the self-assessments predominantly before summative assessments. Two distinct clusters based on engagement with self-assessments could be identified and engagement was positively related to performance in the final exam. The findings from learning analytics data were also indicated by students' self-reported use of self-testing strategies. Discussion: With the help of multiple data from self-reports, formal exams, and a learning analytics system, the findings provided multiple perspectives on the use of self-assessments and their relationships with course performance. These findings call for applying assessment analytics and related frameworks in learning analytics as well as providing learners with related adaptive feedback. Conclusion: Future research might investigate different (self-report) variables for clustering, other student cohorts or self-assessment forms.

Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental incentives on app learning behaviour and learning performance based on a multi-dimensional approach. We also evaluate whether the role of anxiety attenuates these influences. Method and objective: In this study, 323 participants' learning activities were tracked weekly to measure the completion of their daily learning plan during 16 weeks. Then, an online survey was conducted to assess the environmental incentives, perceptions, and self-evaluations of these participants after the learning tracking process. Participants' learning progress was measured by the comparison of paired course test scores before and after the tracking period. Results and Conclusions: The results indicated that engagement, sense of meaning, and stage accomplishment exerted a directly significant influence on shaping the learning habits and outcomes. In addition, the results also tapped the role of anxiety in the app learning context, indicating the significant moderating effects on the relationship between social incentives, stage accomplishment, and learning habits. The app learning habits of the users with high-level anxiety exerted less impact on their performance progress than users with low-level anxiety. This study provides insights into how the mobile environment can influence learning activities and learning performance, implying practical implications to leverage mobile technologies for educational purposes.

Background: Language learners are taking advantage of the increased accuracy afforded by machine translation (MT) tools like Google Translate. There is a growing debate as to whether these tools support or hinder English as a foreign language (EFL) education. Some EFL students are drawn to MT tools to save time and energy when communicating, but how this use relates to second language acquisition needs to be clarified. Objective: This study investigated the perceptions and practices of MT tools among university EFL students in Saudi Arabia and South Korea. Methods: The study surveyed Saudi (n = 310) and South Korean (n = 160) university students to explore the use of MT tools in EFL learning. It used mean scores, correlation analysis, and structural equation modelling to understand the perceived benefits and limitations of MT tools and their influence on the use of translation websites. The findings were triangulated using content analysis of open-ended items. Results and Conclusion: Findings indicate students showed a high level of acceptance and utilization of MT tools. English avoidance behaviour (B = 0.43), benefits (B = 0.32), and foreign language proficiency (B = -0.19) predicted 61% of actual use of MT tools like Google Translate. Further, students frequently used MT tools despite the reported concerns about accuracy mistakes. Saudi students listed a more comprehensive array of why they use MT tools than Korean students, while Saudis and Koreans frequently used MT tools for individual word and sentence translations. Implications: Students should edit MT output when writing and are encouraged to use the voice recording and other functions of MT tools to learn language skills. Instructors must prevent overuse and dependency on MT tools, especially among low-proficiency students who want to avoid using English.

Background: Technologies may successfully be used to mediate, aid, and diversify learning, but several studies indicate that technologies cannot substitute outdoor learning and its experiential nature. To halt human-induced biodiversity loss, teachers should acquire a deep understanding of the principles of ecology, including the challenging concept of biodiversity. Only few studies have investigated learning about biodiversity outdoors guided by technology. Objectives: The aim of this study was to examine student teachers' current knowledge of the concept of biodiversity, to test how well technology-mediated mobile learning in outdoor settings affects their understanding of the concept, and to determine the students' ability to estimate biodiversity in situ. Methods: Student teachers (N = 121) participated in a technology-mediated nature trail. Research data was gathered through open-ended questions in pre- and post-test questionnaires and an assignment during the trail. Data were analysed using both qualitative and quantitative methods. Results and Conclusions: Results showed that significantly, more students included species and ecosystem diversity in their definitions of biodiversity after the trail, but the inclusion of genetic diversity remained low. Student's estimations of biodiversity in situ and related arguments indicate that they had difficulties in connecting their observations with their assessments of biodiversity. Implications: The study indicates that biodiversity is still a challenging concept, but also that outdoor learning mediated by technology has potential to untangle the concept. Understanding the importance of genetic diversity for species survival should be given special attention.

Background: Several attitude scales have been developed to measure students' attitudes toward computer programming, including the prominent one developed by Cetin and Ozden. The development of these scales stemmed from the elusive nature of attitude and the lack of specific constructs to measure attitude. These instruments measure students' attitudes based on one-dimensional perspective, thus, making it difficult to interpret the meaning of some attitude evaluations such as the meaning of neutral points in a 10-point scale (for example). Objectives: The computer programming attitude scale was modified to measure ambivalence. The study also investigate attitude differences across demographic variables and used these variables to predict ambivalence. Methods: The study was conducted in two phases. In the first phase, the instrument was validated using exploratory factor analysis and confirmatory factor analysis. In the second phase, the revised scale was administered to another 547 students in four research universities for empirical investigation. Results: Results show that the instrument is valid and suitable for measuring students' programming attitudes. Participants' attitudes skewed toward the negative attitude dimension. Lastly, we found that both attitude and ambivalence are factors of programming experience. Conclusions: We discussed the findings, recommend the instrument to programming tutors, and strongly emphasise the evaluation of students' ambivalent attitudes.

Background: The transition from teacher-centred towards student-centred approaches in English language teaching, accompanied by developments in educational technology, has attracted researchers' attention to reverse teaching or flipped class. The related literature asserts that this mode of instruction might influence instructors' and students' participation in the class. Objectives: To shed more light on the role of flipped class in affecting language learning strategies and skills, this study applied a sequential explanatory mixed-methods approach to explore the impact of flipped class on English as a foreign language (EFL) learners' writing metacognitive strategies and writing skills. Methods: Forty-six intermediate EFL learners with an age range of 21-27, studying at a private language institute, were randomly divided into two groups of 23 learners. The two groups were randomly assigned to a flipped class, which received writing metacognitive strategies and writing skills through video clips before the class time, and a non-flipped class, which received writing metacognitive strategies and writing skills in a conventional way during the class time. Results and Conclusions: The results revealed that both flipped and non-flipped classes improved the EFL learners' writing metacognitive strategies, writing performance, writing content, and writing organisation. Furthermore, one-way ANCOVA analyses indicated that the flipped class outperformed the non-flipped class in writing metacognitive strategies, writing performance, writing content, and writing organisation. Thematic analyses, which were used to help analyse individual semi-structured interviews, uncovered a number of categories and themes, signifying the flipped learners' positive perceptions towards the flipped class, such as enhancing motivation, self-confidence, and writing collaboration. Implications Pedagogical implications were discussed for flipping writing metacognitive strategies and writing skills.

Background: The global COVID-19 pandemic turned the adoption of on-line assessment in the institutions for higher education from possibility to necessity. Thus, in the end of Fall 20/21 semester Tel Aviv University (TAU)--the largest university in Israel--designed and implemented a scalable procedure for administering proctored remote examinations. This procedure is applicable to different kinds of examinations in diverse disciplines and to disparate degree levels. Objectives: This study aims to deepen the knowledge with respect to the design and adoption of remote proctoring at an institutional level Methods: First, based on lessons learned from the first semester of COVID-19, we describe the development and implementation of an institution-wide protocol for conducting on-line proctored assessment. We show the large-scale applicability of the protocol for administering examinations via Moodle with remote proctoring via Zoom. The accurately designed procedures that included careful consideration of all parties involved--academic staff members, students, administrative staff and proctors--enabled TAU to successfully assess the learning outcomes of its 25,000 students, while maintaining validity, compatibility and reliability of the assessment. Second, we report combined data from surveys of 4380 students and 188 faculty-members (18% and 12% response rate respectively), conducted at TAU following these examinations. Results and Conclusions: With over 90% of the students experiencing at least one, and 80% of faculty-members administering at least one proctored remote examination, these heterogeneous sources of data allow us to investigate a unique and complementary perspective of the process. Some of the significant findings consist of the over-all perception of the students' integrity by both groups surveyed; the discrepancy in the groups' perspectives of the adequate form of learning-assessment--with the instructors preferring proctored examinations and the students--formative-assessment; and the influence of the pedagogical challenges on the perception of validity that outweighed other factors, for example, the pandemic-related stress, the on-line assessment challenges and other.

Background: Artificial intelligence (AI) has gained increasing popularity in human society, and it is important to educate people about this emerging technology. Many countries have adopted school curricula to incorporate AI into their classrooms. However, developing tools for discovering AI concepts remains challenging. There are few studies on AI education tools, particularly in Thailand. Objectives: This study designs AIThaiGen, a web-based learning platform for junior high school students that introduces AI concepts. It can communicate with remote hardware stations, allowing students to test their AI models in real-world scenarios. Methods: A total of 106 students in 7th and 8th grade in Thailand participated, and a single-group pre-test-post-test research design was employed in this study. Pre-post-tests on the basic concepts of AI and the students' attitude questionnaire on AIThaiGen were used to collect and analyse data. Results and Conclusions: The results show that there is a significant improvement (p < 0.001) in the pre-post-tests on the basic concepts of AI, and the overall result of the students' attitude questionnaire on AIThaiGen is [x-bar] = 3.88, indicating positive outlooks. Furthermore, notable student projects are showcased, highlighting their ability to initiate new ideas for solving real problems after studying with AIThaiGen.

Background: Digital game-based learning (DGBL) has been shown to be an effective strategy for promoting learning motivation. However, a lack of attention has been paid to investigating the effects of individual differences on elementary students' reading motivation and in-gaming achievements in DGBL. Objectives: This study developed an educational mobile game to facilitate learners' reading activities, and investigated how prior knowledge and gaming experience affected learners' reading motivation, gaming motivation, perceptions and in-game achievements. Methods :A total of 53 third to fifth grade elementary school students participated in this study, and were divided into the high prior knowledge (HPK)/low prior knowledge (LPK) and the high gaming experience (HGE)/low gaming experience (LGE) groups. Results and Conclusions: The HPK learners had higher reading motivation, perceptions, gaming and social achievements than the LPK learners, whereas they had similar gaming motivation and reading achievements. In addition, the HGE learners had lower reading motivation, reading and gaming achievements than the LGE learners, whereas they had similar gaming motivation, perceptions and social achievements. Moreover, correlational results showed that similarities and differences were observed between the HPK/LPK and HGE/LGE learners. Implications: The findings of this study suggest that learners' prior knowledge and gaming experience play influential roles in reading motivation, gaming motivation, perceptions and in-game achievements. A framework is proposed for researchers or game designers to develop personalized DGBL systems to accommodate the HPK/LPK and HGE/LGE learners' individual needs or preferences in DGBL.

Background: The rapid globalization along with the growing trend of openness and sharing approach enabled widespread of digital technologies all over the world. However, we can still find differences between countries in technology use and perceptions of usefulness for learning. Understanding students' use of educational technology and their perceptions of its usefulness is especially significant today, given the rapid penetration of online learning into higher education as a response to COVID-19. Objectives: This research aimed to understand students' actual experiences with digital technologies during their academic studies and their perceptions of technology usefulness across institutional and international contexts (Israel and Australia). Methods: This quantitative study used data from a large-scale bi-national online survey of 3003 students in both countries. Comparative analyses were conducted. In addition, factor analysis was used to identify latent factors from 16 variables of students' perceptions of the usefulness of digital resources usefulness. Results and conclusion: The results revealed significant differences in technology usage and its perceived usefulness between students in the two countries. They confirmed the predominance of 'official' digital resources, such as learning management systems and online library resources. However, large percentages also reported the use of 'non-official' digital resources, including academic search services; subject-related videos and audio recordings on content-sharing websites such as YouTube and Wikipedia; and communication and/or collaboration with other students through social networks. Thus, universities need to consider the potential use of incorporating these resources for improving teaching and learning. Moreover, understanding the differences will assist in implementing tailored techno-pedagogical solutions to the students.

Background: Immersive virtual reality (IVR) applications that support student learning have gained increasing interest. However, empirical studies exploring the educational potential of using IVR in primary school science classrooms are lacking. Objectives: This study developed a series of IVR science lessons for primary school students and examined the effects of these lessons on learning outcomes. Methods: Our mixed-method approach employed pre- and post-tests to measure academic achievement, questionnaires to measure motivation and cognitive load, and semi-structured interviews to further explore students' feelings and attitudes about IVR science lessons. Participants included 362 Grade 4 students assigned to either the experimental (IVR-based classroom) or control (traditional classroom) groups. The experimental group engaged in IVR science lessons using Head-Mounted Displays; the control group learned the same material through traditional methods. Results and conclusions: The results showed that the IVR-based classroom significantly improved primary students' academic achievement and science motivation and decreased their cognitive load. Moreover, the experimental group reported positive experiences with the IVR science lessons. Takeaways: These findings help unpack the relationships between IVR and academic achievement, science motivation, and cognitive load in primary school science lessons, thus providing insight on integrating IVR into existing classrooms.

Background: It is important for institutions of higher education to maintain academic integrity, both for students and the institutions themselves. Proctoring is one way of accomplishing this, and with the increasing popularity of online courses--along with the sudden shift to online education sparked by the COVID-19 pandemic--digital proctoring has seen an increase in use. However, there are privacy and bias concerns related to digital proctoring, so it is important to critically examine its role in higher education--when it should and should not be used, and how it is perceived among those who interact with it. Objectives: In this paper, we: examine the features of and concerns about digital proctoring; analyse the results of a survey regarding student and teaching assistant (TA) attitudes towards digital proctoring; and present alternatives to digital proctoring and a framework for evaluating the need for a digital proctoring tool. Methods: We surveyed students and TAs in an online graduate computer science program, asking them to provide their agreement or disagreement with 20 statements related to digital proctoring. For each response option on each statement, we calculated overall percentages as well as percentages broken out by demographics. We compared these percentages to develop a picture of student and TA perceptions. Results and Conclusions: Students and TAs alike are generally tolerant of digital proctoring software and perceive some benefits to using it, including adding integrity to course grades and value to degree programs. However, they have some concerns in the areas of privacy, equity, and technical difficulties. Takeaways: Digital proctoring software should be used only when necessary, with thought devoted to its impact on students and TAs and any concerns they may have. There exist alternative methods for maintaining academic integrity in a course. The framework we have presented can help with determining the need for digital proctoring.

Background: Processing and comprehending information from multiple sources have been a primary means of learning and are essential 21st-century skills to construct knowledge for a deeper understanding. Objectives This study examined students' individual differences in search strategies and internet epistemic beliefs as well as the effect of distinct note-taking formats on students' online multiple-document reading about measurement scales and statistical graphs, considering students' gender and prior knowledge. Methods: Participants were 124 Taiwanese university students (79% female) taking the Educational Statistics course in three different classes. I used a quasi-experimental design to test the effect of different note-taking formats on online multiple document reading. Three classes of students were randomly assigned to one of the experimental conditions with sourcing cues: the individual note taking with multiple tabs, the collaborative note taking with multiple tabs, or the individual note taking in a single tab. Results and conclusion: The study showed that the uncertainty belief about Internet-based information and note-taking formats predicted students' online multiple document reading. A stronger belief that the internet information is uncertain and may change with time positively predict online multiple document reading comprehension. Moreover, individuals taking notes in a single tab outperformed those taking notes individually in separate tabs. Major takeaways from the study: Implications for instruction were made to foster students' uncertainty belief and teach them how to construct pre-outlined tables with sourcing cues to collect the contextual information and reflect on the source information to streamline learners' online multiple document reading comprehension.

Background: The unimaginable power of emerging technologies has transformed education in terms of content creation and instructional design. Due to high value of AR/VR in education, teachers of the 21st century are expected to empower themselves professionally to be able to utilize these technologies in their instructional practices. Despite detailed examination of teachers' readiness for using AR in terms of perceptions, attitudes, and beliefs, very few studies have incorporated AR in teaching theoretical courses of graduate teacher education programs by utilizing constructivist pedagogical strategies. Objectives: The current study investigated the impact of a collaborative AR-enhanced learning environment on learning gains and technology implementation beliefs in a graduate teacher training course. Methods: Thirty-one in-service teachers participated in the study as the experimental (n=15) and control (n=16) groups. An AR app was developed for teaching 20 key concepts of the course Language Curriculum Design. The experimental group was instructed to work collaboratively with the app to learn the content, while the control group learned the concepts using the app in a lecture-based class. Learning gains were assessed by midterm and final exams and a term project. Results and Conclusions: The results showed that the experimental group outperformed the control group in learning the content and completing the project; and they had more positive technology implementation beliefs at the end of the experiment. Also, the participants were found to have positive attitudes towards the educational and pedagogical values of AR; and if the curricular and situational constraints are removed, they are highly motivated to use AR in their classes. Implications: The findings demonstrated the feasibility of incorporating AR technology into teaching abstract concepts in Art and humanities disciplines; and how teacher educators can benefit from integrating a collaborative approach with AR technology to teach advanced courses.

Background: Many gamification applications (apps) have been designed to motivate students to learn particular content. Based on the brain activation approach, the present study adapted an app, named Shaking-On, which requires students to shake their mobile devices to send their answers to multiple-choice questions to the teacher. Students then learn from their performance. Objectives: To understand how this approach can stimulate participants' emotions when achieving their learning goals, the present study compared Shaking-On to Kahoot! by checking participants' gameplay anxiety, learning interest, perceived learning value, and learning achievement while learning the Taiwanese language. Methods: The students were divided into two groups to play with one of the two apps, Shaking-On or Kahoot!, as part of a quasi-experimental study in which they used the assigned app six times in 6 weeks. Moreover, a questionnaire was distributed to participants and 151 useful responses from the Shaking-On group, and 148 from the Kahoot! group were returned. Results and Conclusions: After statistical analysis, the results of this study revealed that besides no difference in gameplay anxiety when comparing the two groups of students, there were significant differences in game interest, flow experience, perceived learning value, and learning achievement, further indicating that Shaking-On with hands-on shaking outperformed Kahoot!.

Background: Since the outbreak of COVID-19, online courses have been extensively used from K-12 to higher education. Online learning engagement, an important factor in online learning success, is currently at a low level in high school. Meanwhile, the research on the factors that influence high school students' online learning engagement is still limited. Objectives: Based on the theories of regulatory focus and value control, this study developed a multi-mediation model to investigate whether self-efficacy and academic emotions can mediate the relationship between regulatory focus and online learning engagement. Methods: A total of 926 high school student (52.16% female, mean age = 16.47 years) were recruited to participate in this study and completed self-report measures of regulatory focus, online learning engagement, online learning self-efficacy and academic emotions. And we used SPSS macro PROCESS developed by Hayes to examine the mediating role of online learning self-efficacy and academic emotions. Results and Conclusions: The results indicated that promotion focus had a stable positive effect on online learning engagement of high school students, whereas prevention focus had a significant negative effect on the same. Self-efficacy and positive emotions had a significant positive mediating effect between promotion focus and online learning engagement. Moreover, positive emotions had a significant positive mediating effect between the prevention focus and online learning engagement, while negative emotions had a significant negative mediating effect between them.

Background: The feedback offered to students in audience response systems may enhance conformity bias, while asking closed-type questions alone does not allow students to externalize and elaborate on their knowledge. Objectives: The study explores how writing short justifications and accessing peer justifications as collective feedback could affect students' performance, confidence and opinions in multiple-choice audience response systems that apply the Peer Instruction model of voting/revoting. Methods: For 8 weeks, 98 students, enrolled in an undergraduate course, attended each lecture following a flipped classroom approach. At the beginning of each lecture, students participated in a quiz with eight multiple-choice questions. Four of these questions included a justification form in which students could elaborate on their answers. The students were randomly grouped into two conditions according to the collective feedback they received: the Shared group (n = 54) could see both the percentage each question choice received from the class and the respective peer justifications, while the Unshared group (n = 44) could only see the percentage information. Results: Analysis showed that students in both groups performed significantly better in questions with the justification form being available. Also, the two groups were comparable in terms of performance and self-reported level of confidence suggesting no main effect for making peer justification available. Despite this, students in the Shared group expressed a significantly more positive opinion in the end-of-activity questionnaire in terms of perceived learning gains and the helpfulness of writing justifications for their answers. Take Away: Writing short justifications can have a positive impact on students' academic performance.

Background: Collaborative computer simulations are available on some online platforms which support students at distributed locations to synchronously collaborate on the simulations to learn sciences. However, how students collaborate with each other in collaborative simulations is not clear. Objectives: The aim of this study was to investigate whether functional interdependency would influence learning. Methods: Two collaborative learning models with different functional interdependencies were examined (the synchronous model and the distributed accountability model). Multiple data sources obtained from 64 students were collected and analyzed. We discuss the collaborative learning with two levels of factors: the individual-level factors (i.e., individual perceptions of teamwork quality, visual attention and learning performance before and after a simulation activity) and the pair-level factors (i.e., discourse data and joint attention). Given that the pair-level factors in the collaborative learning environment may affect the individual-level factors, we further discuss the interactions of the two levels of factors in different collaborative learning models with hierarchical linear modeling (HLM) analysis. Results and Conclusions: The analytical results of the individual-level factors found participants in the distributed accountability model demonstrated more frequent and longer attention to the learning activity. Furthermore, the results indicated that the two simulation learning activities would enhance the participants' learning performance except in Q2. For the pair-level factors, the results demonstrated that the participants in the distributed accountability model showed more active discourse segments but similar joint attention patterns in the learning activity. The results of the HLM analysis indicated that the students in the distributed accountability model had to collaborate with their partners through more constructive dialogue, and focused on the same areas of interest to enhance their learning performance, as the complexity of the distributed accountability design was implemented in a simulation learning activity. Major takeaways: We found that the increase of functional interdependency cannot guarantee students' learning effect in collaborative learning and may hinder the communication that is needed during collaboration. Researcher may need to consider other collaboration tools to enhance the reciprocal reflection.

Background: Although blended learning (BL) has multiple educational prospects, it also poses challenges such as keeping students motivated. Objectives: This study investigates students' perceptions of how learning analytics (LA) can be used to support the design of a BL environment in order to promote students' basic need for relatedness, which is a dimension of motivation. Hence, it is hypothesized that sharing LA trends with students and illustrating which course adaptations were performed based on these trends, will result in positive student perceptions and can support students' basic need satisfaction for relatedness. Methods: A quasi-experimental intervention study was executed using a mixed-method approach (N = 257 students) in a BL course in university-based teacher education. The intervention focuses on three types of learning management system LA data (general, content, and background) that are actively used by the instructor. General data consists of generated time on task, content data deals with the content of a learning path and background data includes information about students' previous education. Results and Conclusions: The results show that students' perceptions regarding these LA are positive and most in favour of content data. Moreover, the qualitative data illustrate that students acknowledge the potential value of LA for stimulating relatedness. Implications: Important recommendations for the use of LA in BL environments are (1) interest and commitment by the instructor by means of a powerful course intervention, (2) to consider gathering LA data anonymously on the group level, (3) instructors should communicate about the nature of the collected data, (4) actively process this input and, (5) use it in a formative manner.

Background: Mobile learning studies often focus on teachers' perspectives. This study instead considers students' experiences of learning with mobile devices (i.e., m-learning) in secondary school mathematics and science. Objectives: The research aims to describe the m-learning experiences of secondary mathematics and science students, and to determine the extent to which distinctive pedagogical dimensions impact students' perceived learning. Methods: A survey instrument using the iPAC mobile pedagogical framework as a theoretical lens is developed and validated. This framework highlights three pedagogical dimensions: personalization, authenticity, and collaboration. Structural equation modelling is used to investigate how each dimension predicts students' perceived improvement in learning, whilst accounting for usage context, among a sample of students in schools where mobile devices are used extensively. Results and Conclusions: Students were in agreement that personalization was a characteristic of their m-learning experiences, but authentic and collaborative learning were not as strongly featured. M-learning activities fostering personalization were most important for improving perceived learning; authenticity and collaboration were also significant, but no differences in perceived learning improvement due to location were found. Authentic m-learning and perceived improvement in learning with mobile devices were significantly higher in science than mathematics subjects. Implications: When teachers design m-learning tasks that enhance personalization, collaboration, and authenticity, students are predicted to perceive improvements in their learning. The findings suggest that teachers should consider designing technology-enhanced tasks that improve students' experiences of collaborative and authentic learning, particularly in mathematics for greatest gains in students' perceived improvement in learning.

Emergency remote teaching refers to the unanticipated, involuntary shift to a virtual learning environment due to, for example, a natural disaster or political instability. The sudden nature of this transition creates additional challenges to effective learning. In this article, we investigate one such challenge, namely the potential for teacher-student miscommunication. We report on a study involving 674 language learners and 61 language teachers. The participants were asked to rate a number of education-related problems that could potentially arise in the context of emergency remote teaching. Learners rated these concerns in terms of the extent to which they had actually experienced them, while teachers were asked to rate the extent to which they perceived these to be concerns for their students. The results showed that teachers believed that students required additional training on using learning management systems, that students did not take online teaching seriously, and that emergency remote teaching would encourage students to cheat. Students disagreed with these statements (ds = 0.53-0.65). We discuss the implications of these teacher-learner discrepancies in light of the need for explicit guidelines and clearer expectations of students during online learning and assessment.

The purpose of this paper is to investigate the mediating role of online learning motivation (OLM) in the COVID-19 pandemic situation in Bangladesh by observing and comparing direct lectures (DL), instructor-learner interaction (ILI), learner-learner interaction (LLI), and internet self-efficacy (ISE) as predictors of OLM and online learning satisfaction (OLS). Data were collected from 442 undergraduate and graduate students from more than 35 universities in Bangladesh. To test the hypotheses, the PLS-SEM approach was applied using SmartPLS 3.0. The study shows a significant mediating role of OLM between the independent variables and learning satisfaction. In addition, DL, ILI, and ISE are shown to be significant predictors of student satisfaction. The findings have a number of valuable implications for education policy makers, universities, instructors, and students. Moreover, the study suggests some new research perspectives to overcome the limitations of this research and to gain precise knowledge on students' learning motivation and satisfaction regarding other online classes for different categories of students (e.g., high school and college, professional, and PhD).

Background: Virtual reality can be a useful substitute to improve nursing education outside of the hospital setting. In the wake of COVID-19, an opportunity to compare a virtual reality activity for nursing students in the traditional classroom and in an online environment took place. Objectives: The goal of this study was to examine the effects of incorporating a virtual reality activity into the traditional classroom and in an online environment to enhance nursing education. Methods: Fifty nursing students participated in an exploratory descriptive study. Twenty-five students participated face-to-face while in the traditional classroom setting and 25-students participated in an online environment using a communication platform. Through a virtual reality activity, nursing students successfully created a tour which demonstrated identifying infectious sites in a hospital room setting. Results and Conclusions: Results of the pre-and post-test showed students' positive perceptions and performances in both traditional classroom and online settings. However, the study revealed a statistical difference between the two group perceptions towards the use of the virtual reality tour creator. Nursing students who were in the traditional classroom group found that the use the virtual reality tour creator was easier. Implications: Designing a meaningful virtual reality activity has a positive impact of the student learning experience. Students may benefit from a more through orientation to the technology prior to engaging in the activity. A carefully constructed activity can enhance student learning outside of the hospital room.