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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. Lay Description: What is already known about this topic: The use of e‐exams in higher education is increasingThe role of student diversity for e‐exam acceptance is unclearTechnology acceptance is predicted by expectancies towards new system What this paper adds: We investigated students' sociodemographic and dispositional diversityDiversity predicted e‐exam acceptance via the expectanciesIn a natural experiment, first‐hand experience increased e‐exam acceptanceNo difference between performance in e‐exams and paper‐pencil‐exams found Implications of the study findings for practitioners: Higher education institutions implementing e‐exams should consider diversitySupport for older students and students with low technology openness neededNo student groups systematically disadvantaged by e‐exam implementationPractice rooms can increase experience with new system before exam [ABSTRACT FROM AUTHOR]

Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta‐analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use of mobile technology in primary and secondary education has increased tremendously, and numerous empirical studies have been conducted on this topic, but their conclusions were inconsistent. Objectives: The purpose of this systematic review is to re‐examine this issue by meta‐analyzing the empirical research studies from the last nine years, with a focus on cognitive, affective, and behavioral learning outcomes in primary and secondary education, and to examine the potential moderators that may have contributed to the heterogeneity across findings. Methods: Based on our inclusion and exclusion criteria, we found 85 studies of 78 peer‐reviewed papers (N = 9157) from electronic databases and major journals in educational technology and mobile learning between 2014 and 2022. We then examined 15 moderators that were expected to affect student learning outcomes. Results and Conclusions: Compared with traditional technology and non‐technology groups, using mobile technology produced medium positive and statistically significant effects on primary and secondary students' learning, in terms of cognitive (g = 0.498, 95% CI [0.382, 0.614]), affective (g = 0.449, 95% CI [0.301, 0.598]) and behavioural (g = 0.339, 95% CI [0.051, 0.627]) learning outcomes. Further moderator analyses revealed that student factors (i.e., community type, students' socioeconomic status), learning process (i.e., hardware used, student‐to‐hardware ratio, teaching method) and study quality (i.e., learning topic/content equivalence, degree of technology use in the control group) were among the variables that moderated the summary effect sizes for at least one learning outcome dimension significantly. The findings and their implications for researchers, policymakers and practitioners are discussed. Lay Description: What is already known about this topic: Mobile learning has become a fast‐growing research field.The benefits of mobile technology usage are related to learning outcomes.The pooled effects of mobile learning have been limited to cognitive learning. What this paper adds: This meta‐analysis focused on mobile learning versus traditional learning.The population was composed of students in primary and secondary education.Mobile technology usage contributed to higher cognitive, affective, and behavioural learning outcomes.Students from low socioeconomic backgrounds and rural areas benefited less from mobile technology interventions. Implications for practice and/or policy: Educational stakeholders need to take actions to adopt and support mobile technology usage in education.Mobile‐learning researchers need to optimize the quality of experimental studies. [ABSTRACT FROM AUTHOR]

Background: Mindfulness practices enhance executive function skills and academic achievement, spurring interest in integrating mindfulness interventions into education. Embedding mindfulness practice into a digital math game may provide a low‐cost, scalable way to induce mindfulness and boost game‐based learning, yet this approach remains unexplored. Objectives: We investigated the learning benefits of integrating mindfulness exercises in a digital math learning game and examined how students' trait mindfulness might moderate the outcomes. Methods: Two classroom studies were conducted with 404 5th and 6th grade students from six public schools in the U.S. (nStudy 1 = 227, nStudy 2 = 177). The two randomized controlled experiments assigned students to one of the three conditions: passive control (playing the digital learning game Decimal Point), story‐enriched active control, or mindfulness‐enriched condition. Trait mindfulness, learning gains, and in‐game problem‐solving (including problem‐solving duration, error count and correctness after reminder) were assessed. Study 2 included a manipulation check to better understand the effects of the mindfulness intervention. Results: Findings showed no significant differences in learning gains, problem‐solving duration or error count among the conditions. Students' trait mindfulness did not moderate these outcomes. Mindfulness reminders in the mindfulness‐enriched game led to more correct answers after errors than jokes in the story‐enriched game. Study 2 revealed that we failed to induce higher state mindfulness through the mindfulness inductions. Conclusions: Mindfulness prompts could be especially beneficial for students experiencing frustration during gameplay, warranting more exploration for digital game‐based instruction. We highlight barriers and future directions for fostering mindfulness through computer‐based instruction in classrooms. Lay Description: What is currently known about this topic?: Researchers focus on digital games as productive learning environments for math, with potential for higher learning gains compared with traditional methods. However, results are mixed, and not all games lead to improved math outcomes.Executive function (EF) skills are crucial for math learning, and mindfulness‐based interventions show promise in enhancing EF skills in school‐aged students.Embedding mindfulness practice into a digital math game may provide a low‐cost, scalable way to induce mindfulness and, in turn, boost EF skills and game‐based learning, yet this approach remains unexplored What does this paper add?: This paper presents the results of two randomized control trials investigating the feasibility and benefits of incorporating mindfulness exercises into a digital math game designed for middle school students. Benefits are compared to those of a story‐enriched and regular version of the same digital math learning game.The paper also explores variations in the effects of the mindfulness‐enriched game based on students' initial trait mindfulness levels.We observe that listening to mindfulness inductions at the beginning of game sessions do not induce mindfulness, and therefore does not benefit math learning.We find that mindfulness prompts received after recurrent errors can be beneficial for students' problem solving. Implications of study findings for practitioners: Our study provides important information on how digital learning game designers should attempt to induce mindfulness in a digital game to promote learning.Digital learning game designers should consider incorporating mindfulness exercises into their games strategically. Presenting mindfulness inductions in audio format at the beginning of game sessions may not induce mindfulness or benefit math learning. Instead, designers should focus on integrating mindfulness prompts at moments when students encounter frustration within the learning game.Beyond embedding audio mindfulness exercises in the game, learning designers should also consider alternative technological and game features to induce mindfulness within a learning game. [ABSTRACT FROM AUTHOR]

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable a thorough understanding of trace‐based learner profiles, this paper presents and evaluates a comprehensive approach to analysis of learners' self‐reports, which extends conventional statistical methods with psychological networks analysis. Methods: The study context is a massive open online course (MOOC) aimed at promoting physical activity (PA) for health. Learners' (N = 497) perceptions related to PA, as well as their self‐efficacy and intentions to increase the level of PA were collected before and after the MOOC, while their interactions with the course were logged as digital traces. Learner profiles derived from trace data were further examined and interpreted through a combined use of conventional statistical methods and psychological networks analysis. Results and Conclusions: The inclusion of psychological networks in the analysis of learners' self‐reports collected before the start of the MOOC offers better understanding of trace‐based learner profiles, compared to the conventional statistical analysis only. Likewise, the combined use of conventional statistical methods and psychological networks in the analysis of learners' self‐reports before and after the MOOC provided more comprehensive insights about changes in the constructs measured in each learner profile. Major Takeaways: The combined use of conventional statistical methods and psychological networks presented in this paper sets a path for a comprehensive analysis of survey data. The insights it offers complement the information about learner profiles derived from trace data, thus allowing for a more thorough understanding of learners' course engagement than any individual method or data source would allow. Lay Description: What is already known about this topic: Researchers have made extensive use of data from online learning platforms—often referred to as learning trace data—to understand how learners engage in online learning activities.Surveys are often used to gather information about learners' motivation, perceptions, and other internal factors, to complement the insight gleaned from learning traces and thus create a more complete picture of the learning behaviour.When analysing survey data, the focus is usually on individual factors without considering how different factors are connected and affect one another.Psychological networks analysis is a novel analytic approach to studying complex phenomena both in psychology and education. What this paper adds: The paper uses psychological networks as a method for examining mutual relations among learners' internal factors (e.g., motivation, perceptions) measured through self‐reports before and after a course.By combining conventional statistical analysis of self‐reports with psychological networks analysis, the paper develops a comprehensive picture of learners' internal factors measured through self‐reports, one that accounts for both individual and interconnected nature of those factors.This comprehensive approach to information extraction from surveys allows for better understanding of trace‐based learner profiles, that is, profiles mined from data about learners' interaction with online learning activities. Implications for practice and/or policy: The presented method paves a way for a comprehensive analysis of the data collected from learners through surveys.It helps us gain a better understanding of learners' engagement with online learning activities.It can advance the evaluation of digital educational programs that aim to encourage changes in health‐related behaviour. [ABSTRACT FROM AUTHOR]

Background Studies: Captioning and repetition are widely used multimedia instructional devices for non‐native students. Generally, studies in this area have tended to focus on second language literacy skills rather than on learning new content knowledge. Additionally, posttests were administered immediately after the treatments, while the delayed influences of captioning and repetition have never been investigated. Objectives: This paper addressed these research gaps in two separate studies. More specifically, this study attempted to examine the influences of captioning and repetition on non‐native students' immediate and relayed retention. Methods: In Study One, three captioning conditions; word‐by‐word captions, closed captions, and no‐captions; were compared to examine their efficacies in immediate and delayed content knowledge retention on 82 Chinese university students. To address the limitations in Study One as the multimedia lesson was short and played only once, Study Two incorporated captioning and two repetition types in its design. One hundred and eleven Chinese university students watch a video lesson in one of four captioning and repetition conditions. Results: The statistical analyses of Study One indicated that there were no significant differences in both immediate and delayed retention test scores across the three captioning condition. Similarly, in Study Two, there were no significant differences in retention tests scores across the four captioning and repetition conditions. Findings: Neither the availability of captions nor the repetition types had any impact on the Chinese students' immediate or delayed content knowledge retention, which lent support to existing studies. Based on the research results, the limitations and future study possibilities are discussed. Lay Description: What Is Already Known About This TopicEmpirical studies on captioning have focused on immediate learning right after the treatment, so have studies on repetition.Empirical studies on multimedia lessons for non‐native students have focused on English language learning. What This Paper AddsThree types of captioning were compared to examine their efficacies in both immediate and delayed content retention of Chinese students.Two types of repetition were compared to examine their efficacies in both immediate and delayed content retention of Chinese students. Implications for Practice and/or Policy:Neither the availability of captions nor the repetition types had any impact on the Chinese students' immediate or delayed content knowledge retention.The availability of textual keywords adjacent to their corresponding graphics might have compromised the efficacy of captioning. [ABSTRACT FROM AUTHOR]

Background: This research is inspired by the challenges encountered in interpreter training, changes in learning needs in the technological era, the educational paradigm shift caused by the COVID‐19 pandemic, the lack of studies on combining virtual reality (VR)_and mobile technologies, and literature gaps in the field of the incorporation of technology in interpreter education. Objectives: This research aims to develop a mobile‐based VR application for bi‐directional English‐Chinese and Chinese‐English interpreting learning named 'Virtual Interpreting Practice' (VIP) based on an interpreting competence model and to investigate its impact on students' self‐rated language and interpreting proficiency levels as well as their declarative knowledge and operative skills as reflected in different interpreting modes (sight and consecutive) and language directions (English‐Chinese and Chinese‐English). The VIP app contains learning resources, including 13 learning modules covering both interpreting modes, practical topics and contexts, video lectures and demonstrations, fully immersive VR and non‐VR practice, glossary lists, source texts, translated texts and an online feedback platform. Methods: Thirty‐one native Chinese‐speaking English as a second/foreign (ESL/EFL) undergraduate students used the app for self‐directed learning. The data were collected by the pre‐study and post‐study questionnaires as well as the pre‐test and post‐test. Results and Conclusions: The results indicate that the use of VIP significantly raised the students' self‐rated language and interpreting proficiency levels as well as their interpreting performance in both modes and language directions. While the students performed better in sight interpreting and Chinese‐English interpreting, they achieved a significantly higher improvement rate in consecutive interpreting and English‐Chinese interpreting. Lay Description: What is already known about this topic: A number of studies have demonstrated the use of virtual reality (VR) provides users with senses of multiple presence, enhances learner engagement and motivation, and facilitates collaborative, situated, immersive and experiential learning that is not often available in traditional learning environments.The increasing availability of VR has created new opportunities in the area of mobile‐assisted language learning (MALL), paving the way for a new research area called VR‐assisted language learning (VRALL).Using VRALL, numerous benefits in various language skills have been identified, such as listening, speaking, writing and vocabulary acquisition. What this paper adds: While blending VR and mobile technologies may play a more significant role in education settings and create more advantages, the impact of this combination for interpreting learning has remained an unexplored area in higher education. This paper has addressed the research gaps in which there is a lack of VR language learning apps that are bilingual, mobile‐based and specifically designed for interpreting practice in highly immersive learning environments.The results indicate that the use of VIP significantly raised the students' self‐rated language and interpreting proficiency levels as well as their interpreting performance in both sight and consecutive interpreting and language directions (English‐Chinese and Chinese‐English).While the students performed better in sight interpreting and Chinese‐English interpreting, they achieved a significantly higher improvement rate in consecutive interpreting and English‐Chinese interpreting. Implications for practice and/or policy: The results have implications for the roles of students and teachers. The app developed in this study shifts the teacher‐led approach to student‐centred learning. While it allows more learning autonomy, its effectiveness may largely depend on students' ability to self‐regulate and engage.It appears that the effectiveness of VRALL depends on a number of individual and contextual factors, e.g. the design and functionality of the apps, availability of the internet connection and smartphones as well as learning needs and motivation. [ABSTRACT FROM AUTHOR]

Background: As one of the mainstream forms of programming education, educational robotics (ER) have been a crucial way to develop K‐12 students' programming ability. Objectives: The purpose of this study is to clarify the content of programming ability, to verify the effectiveness of ER as a teaching method to improve students' programming abilities and the conditions for more effective instructional design. Methods: The method of meta‐analysis was adopted to conduct this study. 4180 K‐12 students from 36 studies with a total of 85 effect sizes were captured. Based on the contents of included literature, an ER programming ability model was put forward, which was composed of essential ability and generative ability. The meta‐analysis of essential ability (N = 22) and generative ability (N = 64) was carried out respectively. Results and conclusion: The results showed that ER activity has a positive effect on the essential ability (Hedges' g = 0.539 CI [0.327, 0.752], p < 0.001) and generative ability (Hedges' g = 0.535 CI [0.426, 0.643], p < 0.001). Additionally, the results of moderator analysis showed that utilizing ER to solve mathematics problems is able to more effectively develop students' essential ability, while the STEM interdisciplinary ER instruction had the largest effect on generative ability. Simultaneously, the individual programming form is conducive to students' essential ability, while the generative ability is significantly affected by the cooperative programming form. No matter for the evaluation of essential ability or generative ability, ER had the greatest effect on kindergarten children' programming ability. Moreover, the intervention duration ranging from 1 to 5 weeks, the samples size less than 50 and the choice of measurement scale can effectively improve students' programming ability. Implications: This research enriched the theoretical basis of programming ability, and provided reference and guidance for K‐12 programming teaching practitioners and researchers in ER teaching design and practise. Lay Description: What is (not) known about the subject matter?: Educational robotics (ER) is one of the mainstream form of K‐12 programming education.K‐12 students develop various abilities by coding ER.Different instruction conditions in ER education may affect the teaching effect. What is the contribution of this paper?: This study sorted out the specific content of programming ability in ER activities, and classified programming ability into essential ability and generative ability.This study respectively validated the effectiveness of ER activity on improving essential ability and generative ability of K‐12 students.This study considered discipline integration, cooperation degree, grade level, intervention duration, sample size and assessment tools as moderator variables, and analyzed their effects sizes on ER developing programming ability. What are the implications for practitioners?: This paper clarified the specific content of programming ability in K‐12 ER education, and enriched the theoretical basis of programming ability.It provided evidence for the effectiveness of K‐12 ER education.This study provided an reference and guidance for ER instructional design for K‐12 programming teachers and researchers. [ABSTRACT FROM AUTHOR]

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. Lay Description: What is already known about this topic: Leaner dashboards that provide personalized feedback are linked to improved student performance in undergraduate STEM courses. However, students may be reticent to adopt dashboards, especially students in the middle range of the performance distribution, for whom the impact of the dashboard may be most significant.Prior research on gamification in STEM courses suggests that adding gameful elements like progress trackers, badges, and rewards can increase students' engagement in undergraduate coursework.The combination of personalized learning in dashboards and the motivational experience of gamification should boost student engagement, dashboard adoption, and ultimately foster academic achievement. What this paper adds: In this paper, we examine the differences in academic performance between students with and without access to a gamified learning dashboard in an undergraduate Geology course.We observe that students with access to the dashboard (the treatment group), outperform students without access (the control group). The greatest benefit is observed for students who use the dashboard more frequently.Students reported that the progress tracker, the badges, and the rewards all incentivized their use and provided useful feedback about their performance. Students who did not adopt the dashboard expressed a need for more detail about the tool and its purpose. Implications for practice and/or policy: Instructors and instructional designers for large enrollment undergraduate STEM courses should consider the affordances of gamified learner dashboards for increasing engagement and for providing synchronous feedback about learners' strategies in the course.Aligning the dashboard to the content of the curriculum—by ensuring that badges reflect key concepts‐ encouraged participation and helped students identify the utility of the tool. Dashboards should be personalized to individuals and to the course.Adding gameful elements in a low‐cost intervention for increasing adoption and engagement of dashboards in large enrollment introductory courses. [ABSTRACT FROM AUTHOR]

Background: Artificial intelligence–generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC integration based on varying levels of abstraction. Then, drawing on extended effective use theory, the study proposes the underlying mechanism of how AIGC integration impacts programming learning performance and computational thinking. Methods: Three debugging interfaces integrated with AIGC by ChatGPT were developed for this study according to three levels of AIGC integration design. The study conducts a between‐subject experiment with one control group and three experimental groups. Analysis of covariance and a structural equation model are employed to examine the effects. Results and Conclusions: The results show that the second and third levels of abstraction in AIGC integration yield better learning performance and computational thinking, but the first level shows no difference compared to traditional debugging. The underlying mechanism suggests that the second and third levels of abstraction promote transparent interaction, which enhances representational fidelity and consequently impacts learning performance and computational thinking, as evidenced in test of the mechanism. Moreover, the study finds that learning fidelity weakens the effect of transparent interaction on representational fidelity. Our research offers valuable theoretical and practical insights. Lay Description: What is currently known about the subject matter?: In the present information era, programming and computational thinking are important.AIGC has attracted remarkable attention from both academics and managers.If it is appropriately utilised, AIGC can facilitate education. What this paper adds: Three forms of AIGC integration based on the level of abstraction, which enhance programming learning and computational thinking.Application of extended effective use theory to propose an underlying mechanism for how AIGC integration affects learning performance and computational thinking.Concrete information on the utilisation of AIGC in the education domain.Evidence that shows the importance of interaction transparency and representational fidelity for leveraging information technologies in education. Implications of the study findings for practitioners: AIGC can be an effective tool for teachers, learners, and institutions.Platform designers and teachers should carefully design AICG integration.Platform designers and teachers could make use of various methods and other forms of AIGC integration to promote interaction transparency. [ABSTRACT FROM AUTHOR]

Background study: Computer‐assisted pronunciation training (CAPT) has emerged as an important resource for second language (L2) pronunciation learning. CAPT offers diverse opportunities for learners to master L2 pronunciation with the help of authentic learning activities in multiple contexts. Objectives: This study presents a comprehensive overview to examine the overall effect of using a computer in learning pronunciation in multiple settings and diverse educational levels with the assistance of different tools. Methods: The meta‐analysis consisted of 31 primary studies that reported results obtained from experimental vs. control group designs. These studies reported 42 effect sizes in the results. Results: The findings of the meta‐analysis indicated that using CAPT in learning pronunciation had an overall medium effect size. Similarly, the results showed that using CAPT inside the classrooms had a large effect size. The results also showed that CAPT had a large effect size when used in schools and other formal learning contexts, such as language institutes. CAPT had a medium effect when it was used in universities. The results also showed that using videos for learning pronunciation had a large effect size while other tools had a medium effect size. Conclusions: The study findings contribute to understanding the overall effect of CAPT and offer implications for educators and practitioners involved in designing effective instructional strategies for enhancing L2 pronunciation skills. Lay Description: What is already known about this topic: Computer‐Assisted Pronunciation Training has emerged as a valuable tool for L2 pronunciation learning.The variables that may affect the using of Computer‐Assisted Pronunciation Training include settings, educational level and CAPT tools. What this paper adds: The study drew on a meta‐analytic framework to examine the overall effect of using a computer in learning pronunciation in different settings and in different educational levels with the help of different tools.The meta‐analysis consisted of 31 primary studies reported results obtained from experimental vs. control group design. Implications for practice and/or policy: Language instructors are requested to incorporate CAPT in their teaching of L2 pronunciation.The integration of CAPT can be to any educational stage (i.e., schools, colleges, etc.).To optimize the benefits of CAPT, instructors should consider integrating videos, games, and other multimedia elements into their teaching practices. [ABSTRACT FROM AUTHOR]

Introduction: Media comparison studies examining the effectiveness of immersive virtual reality in education have yielded inconclusive findings, leaving the question of its impact on learning compared to conventional media unanswered. To address this issue, our study employs a novel approach that combines media comparison with an investigation on the influence of broader educational context. Methods: In the experiment, 262 students from two distinct types of lower secondary schools—comprehensive school and multi‐year gymnasium (a selective academic school)—participated. The students received a lesson on topography and contour line interpretation, using either an immersive virtual environment or a PowerPoint slideshow. A transfer test was carried out before, immediately after, and 1 month after the lesson to measure knowledge application. Results: The impact of the media (immersive virtual reality vs. PowerPoint slideshow) on learning outcomes was found to be minimal, with no clear advantage of one over the other in any experimental condition. In contrast, a significant influence on learning gains was observed due to school type. Multi‐year gymnasium students consistently outperformed comprehensive school students in the pre‐test and demonstrated greater learning gains, regardless of the learning media. Conclusion: The present study employs an innovative approach by integrating a comparative analysis of different media types with an investigation into the impact of learner characteristics. By including students from distinct types of schools, the study provides insights into the differential effects of immersive virtual reality in varied educational contexts. Lay Description: What is already known about this topic: Media comparison studies typically assess the effectiveness of immersive virtual reality as a learning medium in comparison to other instructional methods in education.The findings of these studies differ markedly.Numerous factors impact learning outcomes in an immersive virtual environment. What this paper adds: Recommendation that research in the field should explore not only if but also when and how IVR learning is effective.Evidence that learning achievements may not be affected by the medium used.Evidence that the type of school can significantly influence learning gains.Evidence that cognitive dispositions, such as spatial abilities, can be another factor that influence learning outcomes. Implications for practice: A technology‐centred approach alone does not allow for a proper evaluation of the learning gain potential of IVR, learner characteristics and broader educational context should also be taken into account.IVR as a learning medium may not be appropriate for all students and every educational setting.To ensure reliable evaluation of learning gains, it is necessary to align the content and format of the intervention in both learning mediums as closely as possible.Measuring learning gains not only immediately after the intervention but also with a significant time delay can contribute to a more comprehensive understanding. [ABSTRACT FROM AUTHOR]

Background: Motivation is an important factor in the learning process and supporting students' motivation in mathematics is a significant challenge for educators. Educational technologies, such as digital games, offer potential for engagement in mathematics learning activities. Objectives: To contrast the general decrement in student motivation in mathematics, a multilevel meta‐analysis was carried out to synthesize the results of studies concerning the impact of digital games on K‐12 student motivation in mathematics. Methods: Standardized measure of effect size (dppc2) for pre‐ post‐control group designs was used, and different sources of dependency among the effects were taken into account. Moreover, through meta‐regressions, we examined whether specific characteristics of the participants, interventions and outcomes were associated with effect size differences throughout the studies. Results and Conclusions: A total of 20 primary studies (43 effect sizes) meeting eligibility criteria was included. Results showed a significant overall effect (dppc2 = 0.27; 95%CI = [0.14; 0.41]) and a great heterogeneity between studies. Moderator analyses showed differences in effect size associated to the duration of intervention and motivational construct in terms of expectancy and value. Implications: Overall, the findings indicate that digital games are effective tools compared to conventional teaching practices. The results are promising and could be useful for the design of digital educational interventions aimed at promoting motivation in mathematics. Lay Description: What is already known about this topic: Motivation in term of expectancy and value is an important factor in the learning process.Digital games influence student motivation to learn in K‐12 education.Concerning mathematics, previous meta‐analyses studied the effects of digital games on math achievement but not on motivation. What this paper adds: This meta‐analysis synthesizes the impact of digital games on motivation in mathematics.The targeted learner audience is K‐12 students.Results show a significant overall effect of digital games on motivation and a great heterogeneity.The effect is greater if motivation is measured in terms of expectancy than of value.The duration of intervention moderates the effect: short interventions have the highest effects. Implications for practice and/or policy: Digital games promote motivation in mathematics for K‐12 students compared to conventional teaching practices.Engaging and innovative educational activities, such as digital games, might contrast the worldwide decline of enrolments in the STEM field. [ABSTRACT FROM AUTHOR]

Background: Limited research on the effectiveness of additional online and face‐to‐face practise opportunities for promoting active learning among Chinese EFL learners in higher education. Current understanding of self‐regulated and collaborative learning theories in educational contexts. Objectives: To establish the efficacy of interactive online and face‐to‐face practise opportunities for enhancing active learning among Chinese EFL learners. Methods: Employed mixed methods research to assess the impact of different types of practise opportunities on 116 EFL learners. Utilised methodological triangulation of QUAN + QUAL data and one‐way ANOVA for interpretation. Results and conclusions: The study demonstrated the effectiveness of integrating online and face‐to‐face practise opportunities to enhance active learning. Empirical evidence supports the pedagogical and theoretical benefits of these opportunities for promoting active learning among EFL learners. Lay Summary: What is currently known about this topic: Limited scholarly exploration of supplementary practise opportunities for active learning among Chinese EFL learnersExisting understanding of self‐regulated and collaborative learning theories in educational contexts What does this paper add: Establishes the effectiveness of interactive online and face‐to‐face practise opportunities for promoting active learningProvides empirical evidence supporting the integration of these opportunities to enhance active learning Implications for practise/or policy: Advocates for the combined use of online and face‐to‐face practise opportunities to enrich engagement, problem‐solving, feedback, and motivation among EFL learnersSuggests the development of instructional frameworks based on self‐regulated and collaborative learning theories for enhanced CALL courses [ABSTRACT FROM AUTHOR]

Background: Game‐based learning can frame problem‐solving as a sense‐making experience with domain‐specific tasks for school students. However, multiple challenges arise when trying to support learners in such a complex, problem‐oriented learning environment. Objectives and Methods: With an architecture‐themed mathematics learning game, we conducted two mixed‐method studies to explore the impact and design of game‐based mathematical experience on the math problem‐solving performance of middle school students. Results and Conclusions: The study findings suggested a positive impact of game‐based math experience on math problem‐solving for middle school students. Problematization‐oriented game‐based math tasks with structuring features enhanced students' reasoning with problems and channelled it to doing mathematics. Takeaways: The current research findings support the initiative to frame learning as a sense‐making experience with domain‐specific tasks and inform the design of game‐based mathematical experience and learning support. Lay Description: What is already known about this topic: Realistic mathematical practices frame learning as a sense‐making experience.Challenges arise when involving learners in realistic mathematical experiences driven by domain‐specific tasks. What this paper adds: Game‐based simulation of math tasks framed learning as sense‐making experience.Game‐based math experiencing promoted math contextual problem‐solving performance.Structuring features enhanced problematized experiencing with math tasks. Implications for practice and/or policy: Teachers can integrate and facilitate game‐based math experiencing in class.Efforts should be made to make game‐based math tasks meaningful for students. [ABSTRACT FROM AUTHOR]

Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of online collaboration tools on science education outcomes among middle school students, focusing on learning achievement, engagement, and motivation. Methods: A quasi‐experimental design with a pretest‐posttest control group was used in this study. A total of 60 eighth‐grade middle school students were involved in the study, with both the experimental and control groups comprising 30 students each. The experimental group incorporated the use of digital collaboration platforms, including Asana, Slack, and Team Viewer, as instrumental components of group project execution and discussion in their science lessons. Conversely, the control group adhered to the current educational approach in Turkey, characterized by the employment of an inquiry‐based learning strategy in their science instruction. Data was collected over eight weeks using a science achievement test, engagement scale, and science motivation scale. Results: The experimental group demonstrated significantly higher post‐test scores compared to the control group, suggesting that online collaboration tools positively impacted science education outcomes. Additionally, survey data indicated high levels of engagement and motivation among the experimental group students when using the online collaboration tools. Conclusions: The findings support the notion that online collaboration tools can effectively enhance learning, motivation, and engagement in science education among middle school students. These results have significant implications for educators, educational institutions, policymakers, and curriculum developers. Further research is needed to examine the potential of these tools in various educational contexts and with different student populations. This will help broaden the understanding of how online collaboration tools can be integrated into diverse learning environments, potentially benefiting a larger number of students and further improving science education outcomes. Lay Description: What is already known about this topic: Technology's role, particularly online collaboration tools, in enriching science education is undebatable (Donkin & Rasmussen, 2021; Rahmawati et al., 2022). Such tools have been theorized to bolster student learning outcomes, motivation, and engagement (Donnelly et al., 2013; Ekici, 2017; Khazanchi & Khazanchi, 2019). Yet, the empirical evidence validating their efficacy in science educational settings remains sparse. What this paper adds: This research delves into the influence of online collaboration tools on science learning outcomes among middle school learners. Data indicates that employing these digital tools substantially elevates student performance, as gauged by a science achievement test. Furthermore, students navigating through these online collaborative platforms recorded elevated levels of both engagement and motivation. The primary effectiveness of online collaboration tools stems from their ability to foster specific behaviours, such as increased communication frequency and structured task management, which can amplify learning and group collaboration through their facilitated structured interactions. Implications for practice and/or policy: This study's conclusions offer pivotal insights for educators, academic institutions, policy framers, and curriculum architects. Online collaborative platforms exhibit promise in amplifying student outcomes and engagement within the realm of science education. It is imperative to broaden this research scope to discern the tools' potential across varied educational environments and diverse student demographics. There is a compelling case for stakeholders, especially educators and policymakers, to contemplate incorporating these online tools into science pedagogy, aiming to magnify student learning experiences and engagement levels. [ABSTRACT FROM AUTHOR]

Background: Digital texts are progressively becoming the medium of learning for students, but research has indicated that students tend to process information more superficially while reading on screen. It is therefore relevant to examine what strategies can support digital text comprehension. Objectives: This study aimed to investigate the effects of highlighting—both learner generated and experimenter provided—when reading digitally. Methods: University students (N = 170) were randomly assigned to the condition of learner‐generated highlighting, experimenter‐provided highlighting, or control. Reading outcomes were measured as literal and inferential text comprehension, transfer of knowledge, and metacognitive calibration of comprehension performance at immediate and delayed post‐tests. Individual differences in prior knowledge, cognitive reflection, and reading self‐efficacy were taken into account. The quality of the information highlighted by students in the condition of active highlighting was also measured. Results: From linear mixed‐effects models, the main effect of condition did not emerge for any of the outcomes. However, an interactive effect of condition and cognitive reflection emerged for literal text comprehension that favoured readers in the condition of experimenter‐provided highlighting with higher ability to resist automatic thinking. Inferential text comprehension, transfer of knowledge, and calibration of performance were only predicted by cognitive reflection or reading self‐efficacy. Finally, the quality of information highlighted significantly contributed to students' literal text comprehension and transfer of knowledge in the learner‐generated highlighting condition. Takeaways: Active highlighting is not effective per se during digital reading. The "amplification" effect of already highlighted text and higher cognitive reflection suggests that readers who are more able to resist automatic thinking may also invest more effort in the task, taking more advantage of the provided support. Even if active highlighting may not be effective per se compared to other reading conditions, what students highlight contributes to literal text comprehension and their learning from text. Lay Description: What is already known about this topic: Reading on a screen to learn new content for academic assignments is a typical learning activity for todays' students.For digital reading students tend to adopt a more superficial approach compared to traditional reading.Reading strategies can help readers to comprehend complex digital texts.Highlighting is a technically simple strategy to use for digital reading, which can at least support the selection of relevant information for text comprehension. What this paper adds: When considering digital reading neither learner‐generated highlighting nor experimenter‐provided highlighting is effective by itself.Experimenter‐provided highlighting is more effective for literal text comprehension than learner‐generated highlighting when combined with readers' ability to cognitively reflect and resist more automatic responses.The individual differences of cognitive reflection and reading self‐efficacy predicted inferential text comprehension and transfer of knowledge.Reading self‐efficacy also predicted readers' metacognitive calibration of comprehension performance (accuracy of self‐judgements of comprehension performance). The implications of study findings for practitioners: The effective use of highlighting for text comprehension probably requires some explicit instruction and practice in learning devices.The potential benefits of either learner‐generated highlighting or experimenter‐provided highlighting should be considered in relation to cognitive and motivational individual differences.It is important to create or refine readers' awareness that the quality of the information they highlight matters as it is associated with their text literal text comprehension and transfer of knowledge. [ABSTRACT FROM AUTHOR]

Background: There are deficiencies in ensuring the permanence of some theoretical information taught in nursing education and transferring it to practice environment. Mobile‐assisted teaching can be useful to eliminate deficiencies. The aim of this study was to determine the effect of mobile‐assisted teaching on nursing students' learning ventrogluteal injection. Methodology: The study was conducted in Turkey between February and June 2022. This study is a single group pre‐posttest intervention. The study sample consisted of 354 students studying in the 2nd, 3rd and 4th grades in Turkey. After the students completed the Introductory Characteristics Form and Ventrogluteal Region Information Suggestion Form in the pre‐test, the researchers sent a ventrogluteal injection animation video to their mobile phones. The students who watched the video completed the Ventrogluteal Region Information Suggestion Form and Mobile Education Activity Form in the final test. Results and Conclusion: There was a statistically significant difference between the pre‐posttest score medians of the students (p < 0.001). While the preference of the students for the ventrogluteal region in intramuscular injection was 28.5% before mobile learning, it increased to 51.1% after the training. In this study, after the training given through mobile learning, the knowledge level of the students about ventrogluteal injection and their preferences for ventrogluteal injection increased. In line with these results, mobile‐assisted education should be used in nursing education. Lay Description: What is already known about this topicDue to the high number of students per teaching staff in Turkey, it takes time for the theoretical education of the students to turn into practice.It is recommended that students prefer and use the ventrogluteal (VG) region for intramuscular drug injection.The students had difficulties because the nurses guiding them in clinical practice did not use the VG area.There are difficulties in applying the VG region injection in practice. What this paper addsMobile‐based intramuscular injection skill application increased the knowledge level of the students.Mobile applications make it easier to remember the learned information and apply it in the clinic. Implications for practice and/or policyMobile applications demonstrating skill practice provide a resource for nursing students to watch and learn whenever they want.It ensures that the student is always ready for invasive procedures to be performed on the patient in the clinic. [ABSTRACT FROM AUTHOR]

Background: Readability metrics provide us with an objective and efficient way to assess the quality of educational texts. We can use the readability measures for finding assessment items that are difficult to read for a given grade level. Hard‐to‐read math word problems can put some students at a disadvantage if they are behind in their literacy learning. Despite their math abilities, these students can perform poorly on difficult‐to‐read word problems because of their poor reading skills. Less readable math tests can create equity issues for students who are relatively new to the language of assessment. Less readable test items can also affect the assessment's construct validity by partially measuring reading comprehension. Objectives: This study shows how large language models help us improve the readability of math assessment items. Methods: We analysed 250 test items from grades 3 to 5 of EngageNY, an open‐source curriculum. We used the GPT‐3 AI system to simplify the text of these math word problems. We used text prompts and the few‐shot learning method for the simplification task. Results and Conclusions: On average, GPT‐3 AI produced output passages that showed improvements in readability metrics, but the outputs had a large amount of noise and were often unrelated to the input. We used thresholds over text similarity metrics and changes in readability measures to filter out the noise. We found meaningful simplifications that can be given to item authors as suggestions for improvement. Takeaways: GPT‐3 AI is capable of simplifying hard‐to‐read math word problems. The model generates noisy simplifications using text prompts or few‐shot learning methods. The noise can be filtered using text similarity and readability measures. The meaningful simplifications AI produces are sound but not ready to be used as a direct replacement for the original items. To improve test quality, simplifications can be suggested to item authors at the time of digital question authoring. Lay Description: What is Known About the Subject: Difficult to read math assessment items cause measurement and equity issuesReadability of math word problems negatively correlated with outcomes What Our Paper Adds: GPT‐3 AI system is capable to simplify math word problemsPrompt‐based and few‐shot learning‐based approaches are able to create meaningful simplifications, but with a very low accuracy rateText similarity and readability measures can be used to filter out noisy outputs and discover interesting simplifications What are the Implications for Practitioners: GPT‐3 AI is capable of generating relevant math world problem simplificationsSimplified text can be used as suggestions to question authors during the digital item authoring process [ABSTRACT FROM AUTHOR]

Background: Skill integration is vital in students' mastery development and is especially prominent in developing code tracing skills which are foundational to programming, an increasingly important area in the current STEM education. However, instructional design to support skill integration in learning technologies has been limited. Objectives: The current work presents the development and empirical evaluation of instructional design targeting students' difficulties in code tracing particularly in integrating component skills in the Trace Table Tutor (T3), an intelligent tutoring system. Methods: Beyond the instructional features of active learning, step‐level support, and individualized problem selection of intelligent tutoring systems (ITS), the instructional design of T3 (e.g., hints, problem types, problem selection) was optimized to target skill integration based on a domain model where integrative skills were represented as combinations of component skills. We conducted an experimental study in a university‐level introductory Python programming course and obtained three findings. Results and Conclusions: First, the instructional features of the ITS technology support effective learning of code tracing, as evidenced by significant learning gains (medium‐to‐large effect sizes). Second, performance data supports the existence of integrative skills beyond component skills. Third, an instructional design focused on integrative skills yields learning benefits beyond a design without such focus, such as improving performance efficiency (medium‐to‐large effect sizes). Major Takeaways: Our work demonstrates the value of designing for skill integration in learning technologies and the effectiveness of the ITS technology for computing education, as well as provides general implications for designing learning technologies to foster robust learning. Lay Description: What is currently known about the subject matter?: Skill integration is vital in students' mastery development, and is especially prominent in developing coding tracing skills.Coding tracing skills are foundational to programming, an increasingly important area in the current STEM education, yet many novice students struggle with code tracing.Instructional design to support skill integration in learning technologies has been limited.One of the most effective technologies for skill mastery, intelligent tutoring systems (ITS), is underused or only used in a partial form in programming education. What our paper adds to this?: We present the development and empirical evaluation of instructional design targeting students' difficulties in code tracing particularly in integrating component skills in an ITS, the Trace Table Tutor.The instructional features of the ITS technology (e.g., active learning, step‐level support, individualized problem selection) support effective learning of code tracing.Students' performance data supports the existence of integrative skills beyond component skills.An instructional design that provides deliberate practice and focused practice on integrative skills yields learning benefits beyond a design without such features. The implications of study findings for practitioners: Designing for skill integration is valuable and should receive more attention in designing learning technologies to foster robust learning.The instructional features of full‐scale ITSs are effective in supporting learning and merit further application in learning technologies in computing education. [ABSTRACT FROM AUTHOR]

Background: Mobile‐assisted language learning (MALL) has long been advocated to promote students' language study outcomes. However, little is known about how using instant messaging applications (an example of MALL) affect student motivation, language anxiety, and actual achievement. Objectives: To help close this gap, we have conducted a quasi‐experimental study, in which we have used self‐determination theory to test a mediational process model, in an effort to understand the psychological mechanisms that underlie the effect of instant messaging applications on student outcomes. Methods: Two groups of Saudi undergraduate students (N = 447) were recruited to participate in the study. Participants under the experimental condition were invited to engage in language‐related tasks with their teacher outside of class through the WhatsApp application, whereas participants under the control condition received standard teaching. We applied partial least square structural equation modelling (PLS‐SEM) to test our model. Results and Conclusions: The results of the PLS‐SEM showed that the total effects of using instant messaging applications on autonomous motivation and L2 achievement were significant but that language anxiety was influenced only indirectly and negatively through language achievement. Also, the PLS‐SEM showed that our results have strong predcitive power indicating support for external validity. Implications: Our results show that instant messaging applications can be used to facilitate interest and achievement and to decrease anxiety. Furthermore, we are contributing to L2 methodological literature by using applications of PLS‐SEM in experimental designs that can help researchers and practitioners of motivational processes. Lay Description: What is already known about this topic: Using WhatsApp and more broadly instant messaging applications are conceived to be motivating in language teaching contextStudies indicate students are inclined toward using these applications in language learningResearch shows that using WhatsApp is easy to apply for language teaching purposes What this paper adds: The study examined the effect of using WhatsApp on language learners' motivation, achievement, and language anxietyA pre‐ and post‐test approach with experimental and control condition has been used to evaluate the effect more accuratelyThe study employs Self‐determination Theory as a theoretical framework for testing a motivational process modelResults show that using WhatsApp predicted the outcomes directly and indirectly Implications for practice and/or policy: WhatsApp can significantly encourage university students to better learning of the language skills especially in times where face‐to‐face communication is limitedWhatsApp is conditioned by the guidance of instructors, their ongoing formative and summative assessmentWhatsApp appears to allow students enjoy their learning process due to the opportunities for collaborative work and constant exchange of content [ABSTRACT FROM AUTHOR]

Background: The coronavirus pandemic has affected education worldwide. Estonian schools moved to distance learning on March 16. Objectives: This paper outlines the stages of unexpected and temporary changes affecting different stakeholders based on activity and content of the messages in the Facebook group 'Homeschooling with technology'. Also the applicability of the concerns‐based adoption model was explored to explain these changes. Methods: The investigated timespan includes the week before the emergency situation and the weeks of the school term and school holidays during the emergency situation, with 52 days in total, divided into seven periods. The 872 messages were coded by two researchers and changes were examined. Results and Conclusions: Four stages were identified, from low exposure and involvement with the change to focusing on collaboration and skipping the consequence stage. Furthermore, the new changes in the educational system might focus people again on personal concerns. Implications: The results help capture the changes in teaching and learning situation caused by the coronavirus pandemic in order to learn from these changes and be prepared for such situations in the future. Lay Description: What is already known about this topicIn the emergency situation, even well‐experienced teachers were not sure what and how to teach.There are several models and there are different models on handling the changes in education.Concerns‐based adoption model (CBAM) looks at how change affects people.Emotions have changed from negative to neutral in social media during school closures What this paper addsPrevious studies have been based mostly on surveys, but this paper adds an in‐depth analysis of messages from social media.Four stages describing how changes affect people have identified.New changes brought back personal concerns and no impact concerns raised.CBAM model is applicable in explaining unexpected temporary changes Implications for practice and/or policyIn teacher training, curricula courses about distance learning methodologies and tools should be added.National guidelines about the management of distance learning situations should be prepared. [ABSTRACT FROM AUTHOR]

Background: During the COVID‐19 pandemic, online collaborative problem solving (online CPS) has become one of the most crucial learning methods to develop students' learning performance. However, it remains unclear of the effectiveness of the online CPS method on students' learning performance. Objectives: To explore the overall effect of online CPS methods on students' learning performance and identify the moderating factors that influence this impact, we employed a meta‐analysis approach to analyse the combined effects of 31 articles. Results: The results showed that the online CPS method had a medium impact on students' learning performance, with an overall effect size of 0.526. The moderator analysis indicated that the online CPS method was more effective for (a) college preparatory learners, (b) the discipline of Economics, (c) grouping method of assigned, (d) teacher‐led instruction, (e) study duration of 2 to 4 weeks, (f) group size of 3–5 members, (g) synchronous online environment and (h) cognitive performance. Implications: Based on these findings, we recommend using the online CPS to improve students' cognitive and affective learning performance. To enhance students' social learning performance, instructors should design reasonably to use collaborative scaffolding to engage students purposefully and constructively in online CPS activities. Lay Description: What is already known: During the COVID‐19 pandemic, the online collaborative problem solving (CPS) method is gaining increased popularity.The impact of the online CPS method on students' learning performance has aroused the great interest of scholars.Research on the effectiveness of the online CPS method on students' learning performance is inconsistent. What this paper adds: Research on the influence of the online CPS method on students' learning performance, such as in cognitive, affective and social three‐dimensional learning performance.The online CPS method had a medium positive effect on students' cognitive performance and a moderate to low positive impact on students' affective and social performance.Considering some moderating variables (such as group size, educational level, group method, study duration, discipline, intervention measure and online environment), explore the effectiveness of the online CPS method on students' learning performance. Implications for practice: We recommend using the online CPS method to improve students' cognitive and affective learning performance.To enhance students' social learning performance, instructors should design reasonably to use collaborative scaffolding to engage students purposefully and constructively in online CPS activities. [ABSTRACT FROM AUTHOR]

Background: Online learning has become more prevalent over the past three decades, especially during the COVID‐19 pandemic. Educators and scholars have increasingly emphasized the significance of self‐directed learning (SDL) on successful learning outcomes in online learning environments. Objectives: The purpose of this study was to synthesize the research on the effects of SDL on learning achievement in online learning environments. Methods: This study synthesized the research findings on the effects of SDL on learning achievement in online learning environments using a meta‐analysis method. We analysed 152 samples from 43 studies that have reported the effects of SDL on learning achievement or correlations in online learning. Results and Conclusions: The overall effect size of SDL on learning achievement in online learning showed a medium effect size (g = 0.508). The dimensions of SDL moderated the effects of SDL on learning achievement, and the effects of self‐management were statistically smaller than motivation and self‐monitoring. The types of learning achievement, learning domains, and participant levels did not moderate the effects of SDL on learning achievement. However, the effects of SDL on learning achievement in the cognitive domain were significantly smaller than the effects of SDL in the affective domain. What Are the 1 or 2 Major Takeaways from the Study?: This study confirmed the importance of SDL in online learning environments. SDL can be effective for any learner group, not just for adult learners, in online learning environments. Online instructors should facilitate students' self‐management to obtain successful learning achievement. Lay Description: What is already known about this topic: Self‐directed learning (SDL) has been widely researched in education.Online learners are expected to be self‐directed learners to obtain successful learning achievement.SDL and self‐regulated learning (SRL) are interrelated. What this paper adds: The effects of SDL on learning achievement in online learning environments showed a medium effect size.The effects of self‐management on learning achievement were smaller than motivation and self‐monitoring.The effects of SDL on the cognitive learning domain were smaller than the affective domain.The participants did not moderate the effects of SDL on learning achievement. Implications for practice and/or policy: Online instructors should help develop learners' SDL skills.Online instructors should facilitate students' self‐management to obtain successful learning achievement.SDL can be effective for any learner group, not just for adult learners, in online learning environments. [ABSTRACT FROM AUTHOR]

Background: The development and promotion of educational games are still outpacing knowledge of these games' effects, raising calls for evidence of benefits and challenges. Studies suggest that students and teachers like games, but the payoff of the investment in terms of increased motivation and achievement remains unclear. Objectives: This study investigates the pure effect of a marketing simulation game on motivation, perceived learning and achievement, above and beyond regular student‐active instruction. Methods: We applied a randomized, controlled experiment in a marketing course in upper‐secondary schools (Nclasses = 22; Nstudents = 433) comparing a collaborative–competitive marketing simulation game with regular, case‐based, student‐active instruction on three groups of outcome measures: motivation, perceived ability, and achievement. Additionally, students and teachers provided quantitative and qualitative feedback on game experiences. Results and Conclusions: We showcase the importance of a robust study design with valid compound instruments. Moreover, investigations of the game implementation and experiences reveal insights about intervention timing, differential negative consequences by gender and need for reflection opportunities. We find no clear evidence of positive or negative effects of the game, despite students' and teachers' satisfaction. Implications: Beyond the effect evaluation, we offer recommendations to researchers and developers of educational games about scaffolding, timing and teacher competence building. Lay Description: What is already known about this topic: Some curricula contains many terms and complex knowledge links.Simulation games are a popular remedy for these challenges.Prior studies have relied on users' satisfaction with the game and unrealistic comparisons. What this paper adds: This experiment compares game usage and regular student‐active instruction.They use various measures of satisfaction, motivation, perceived learning and achievement.The game has no effect on main outcomes. Implications for practice and/or policy: Game implementation requires digitally acquainted and trained teachers.Uncritical game design and use may motivate competitive boys over collaborative girls. [ABSTRACT FROM AUTHOR]

Background: Blended online courses, which combine synchronous and asynchronous online activities, have expanded rapidly in higher education. How to enhance student engagement in such courses is unclear, although it is recognized that student engagement is malleable through instructional strategies. Objectives: Given the above, this study aims to examine the influence of categories of strategies on student engagement in blended online courses. Methods: A conceptual framework of instructional strategies indicated as fostering student engagement in the relevant literature was first presented, divided in eight categories (structure, pace, relevance, active, choice, relationships, explanations, guide). Then a research framework linking the categories of strategies to student engagement dimensions (emotional‐cognitive, social, behavioral) was built and tested in blended online courses. Data collected in various disciplines and university levels at four universities (n = 482) were examined using partial least squares structural equation modeling. Results and Conclusions: The structural model examination confirmed the combined effects of categories of instructional strategies on student engagement in such courses in all disciplines. Particularly, this study revealed that 1) establishing trusting relationships, 2) demonstrating the relevance of activities, content, and resources, and 3) maintaining a sustained course pace significantly impacted student engagement in blended online courses in all disciplines. Takeaways: This study draws upon the blended learning literature to bring together key instructional strategies that foster student engagement while highlighting empirical quantitative evidence of their effects on student engagement in blended online courses. Detailed measures of categories of instructional strategies and student engagement dimensions also provide reliable instruments for future research. Lay Description: What is currently known about the subject matter?: Student engagement has important repercussions on perseverance, in‐depth learning, satisfaction, and academic success.Blended online courses merge the benefits of synchronous interactions and online flexibility in terms of time, place, or even study pace.Student engagement is influenced by contextual variations like course modalities and instructional strategies.The literature lacks a quantitative large‐scale portrait of how instructional strategies influence student engagement in blended online courses in higher education. What does this paper add to the existing body of research?: Partial least squares structural equation modelling was used to examine the effects of eight categories of instructional strategies on emotional‐cognitive, social, and behavioural dimensions of student engagement.Emotional‐cognitive engagement is largely affected by instructional strategies, while social and behavioural engagement are moderately affected by these.Establishing trusting relationships; demonstrating the relevance of activities, content, and resources; and maintaining a sustained course pace have the most significant effects on student engagement in blended online courses. Implications of study findings for practitioners: Teachers should explicitly support students in the process of developing interpersonal relationships in blended online courses to foster student social engagement, that is, interactions and sense of connectedness between them.Ensuring a sustained pace, dynamism, and a diversity of teaching and learning activities, both synchronously and asynchronously, promotes student engagement in blended online courses.Highlighting or demonstrating the relevance of activities and contents fosters emotional‐cognitive and behavioural student engagement. [ABSTRACT FROM AUTHOR]

Background: Blended learning programs in Kindergarten through Grade 12 (K‐12) classrooms are growing in popularity; however, previous studies assessing their effects have yielded inconsistent results. Further, their effects have not been completely quantitatively synthesized and evaluated. Objectives: The purpose of this study is to synthesize the overall effects of blended learning on K‐12 student performance, distinguish the most effective domains of learning outcomes, and examine the moderators of the overall effects. Methods: For the purpose, this study conducted a meta‐analysis of 84 studies published between 2000 and 2020, and involved 30,377 K‐12 students. Results and Conclusions: Results revealed that blended learning can significantly improve K‐12 students' overall performance [g = 0.65, p < 0.001, 95% CI = (0.54–0.77)], particularly in the cognitive domain [g = 0.74, p < 0.001, 95% CI = (0.61–0.88)). The testing of moderators indicates that the factors moderating the impact of blended learning on student performance in these studies included group activities, educational level, subject, knowledge type, instructor, sample size, intervention duration and region. Implications: The results indicate that blended learning is an effective way to improve K‐12 students' performance compared to traditional face‐to‐face (F2F) learning. Additionally, these findings highlight valuable recommendations for future research and practices related to effective blended learning approaches in K‐12 settings. Lay Description: What is already known about this topic: Blended learning is gaining increased popularity in Kindergarten through Grade 12 (K‐12) settings.Studies have resulted in inconsistent conclusions on the effect of blended learning in K‐12 settings.More rigorous, evidence‐based studies on blended learning are needed in K‐12 settings. What this paper adds: Reports the first meta‐analysis on the effects of blended learning on K‐12 student performance compared to traditional face‐to‐face learning.Blended learning significantly improves K‐12 students' overall performance (g = 0.65), particularly in the cognitive domain (g = 0.74).The effect of blended learning is impacted by the group activities, educational level, subject, knowledge type, instructor, sample size, intervention duration and region. Implications for practice and/or policy: Blended learning is an effective instructional strategy in K‐12 settings.Adding group activities can significantly enhance the overall effect of blended learning.Blended learning developers should develop appropriate blended learning courses for different educational levels, subjects and knowledge types. [ABSTRACT FROM AUTHOR]

Background: Learners in a given massive open online course (MOOC) are usually provided with the same learning materials, guided by the same syllabus, and assessed in the same format. This "one‐size‐fits‐all" approach constrains learners' ability to reap the optimal benefits from online learning. Objectives: This study aims to characterize learners' differences in MOOC learning. Specifically, it examines how learners might vary in their enrolment motivation and the development of continuance intention to learn in a MOOC because of their gender and employment status. Methods: Data were collected via a questionnaire survey. Quantitative and qualitative methods were used to analyse data from 664 learners in a Chinese MOOC. Results and Conclusion: The research revealed significant differences in learners' enrolment motivation across groups defined by employment status, but not for gender groups. Learner groups defined by gender and employment status experienced variant psychological processes when deciding to continue to learn in the MOOC. Major Takeaways: Working adults stressed the instrumental values derived from MOOC learning; therefore, it is vital to design and integrate additional features into the MOOC to satisfy their needs. Besides, it would be critical to understand female learners' and working adults' expectations of MOOC learning, as they are more sensitive to confirmation in determining their attitudes toward learning in a MOOC. A short pre‐course survey of learners' expectations would serve the purpose. Lay Description: What is already known about this topic?: Gender and employment status are associated with varied learning outcomes in MOOCs.Motivation and continuance intention are two critical psychological mechanisms.Confirmation, satisfaction, and attitude are determinants of continuance intention. What this paper adds?: Students' enrolment motivation is significantly different from that of working adults.No significant difference was found in motivation across gender.Working adults' and female learners' attitudes were more determined by confirmation.Students and male learners depended more on satisfaction in forming their attitudes. Implications for practitioners: Working adults stressed the instrumental value derived from MOOC learning.Extra features should be integrated into MOOCs to satisfy working adults' needs.It is critical to understand female learners' and working adults' expectations.A short pre‐course survey could shed light on learners' expectations [ABSTRACT FROM AUTHOR]

Research on mobile‐based assessment systems is still an emerging topic in the mobile learning field. Current research has demonstrated that the use of mobile‐based assessment systems seems to have a positive impact on students' learning outcomes and motivation. The paper identifies some factors that influence student engagement with mobile‐based formative assessment in a language learning course. Survival analysis of the interaction of N = 86 students from eight English as a Foreign Language (EFL) courses over 5 weeks showed that students with higher levels of self‐reported effort and perceived importance engaged for longer periods of time. Perceived ease of use, perceived usefulness and behavioural intention to use were all predictors of the longer use of mobile‐based assessment systems. We found that within the first 25–50 min of use, about half of the students might disengage from using a mobile‐based assessment application. Lay Description: What is currently known about this topic: Mobile‐based assessment increase students' learning outcomes and motivation.Engagement is one of the most important indicators of students' achievement.Research on engagement with mobile‐based assessment is still scarce. What this paper adds: Students with positive mobile‐based assessment acceptance engage for longer periods of time.Perceptions of the user interface and feedback do not affect student engagement.Higher levels of self‐reported effort are an indicator of engagement for longer periods.Between 25 and 50 min, the probability of student disengagement is high. Implications for practice and/or policy: Designers of mobile‐based assessment systems should consider acceptance and student motivation.Developers might include mechanisms for automatic engagement detection.Supporting effort regulation strategies might benefit student engagement.Personalization mechanisms could be designed taking into account the timeframe of 25–50 min for disengagement. [ABSTRACT FROM AUTHOR]

Background: Self‐regulated learning (SRL) ability is the key determinant of the success of full‐time online learning. Thus, exploring the influencing factors of SRL and their influencing mechanisms is necessary to improve this ability among K‐12 students. Objectives: The purpose of this study was to investigate the influence mechanism of teacher autonomy support on students' online SRL by examining the structural relationship among teacher autonomy support, parental autonomy support, students' self‐efficacy, and students' online SRL. Methods: We use structural equation modelling and effect analysis to analyse the collected data from 961 Chinese K‐12 students who engaged in full‐time online learning in their homes during the coronavirus disease 2019 (COVID‐19) outbreak. Results and Conclusions: Parental autonomy support and students' self‐efficacy play crucial independent mediating roles in the influence of teacher autonomy support on students' online SRL. Parental autonomy support and students' self‐efficacy have a chain mediating effect on the influence of teacher autonomy support on students' online SRL. Implications: On the basis of the results, we suggest that in order to develop students' online SRL ability, it is important for teacher to improve parental autonomy support and students' self‐efficacy. In addition, base on the chain mediating effect, to improve students' online SRL, teacher autonomy support needs focus on parental autonomy support, and then parental autonomy support needs focus on improving students' self‐efficacy. Lay Description: What is already known about this topic: • Self‐regulated learning (SRL) ability is the key determinant of the success of online learning. • To improve K‐12 students' SRL ability, it is important to explore the influencing factors and their influencing mechanisms on students' online SRL. • Teacher autonomy support play an important role for students' learning. What is not known about this topic?: • How does teacher autonomy support influence students' online SRL, especially in full‐time online learning? • Do parental autonomy support and student' self‐efficacy play a chain mediating role in the influence of teacher autonomy support on students' online SRL? What this paper adds: • Parental autonomy support and students' self‐efficacy play crucial independent mediating role in the influence of teacher autonomy support on students' online SRL. • Teacher autonomy support has a indirect influence on students' online SRL through the chain mediating effect of parental autonomy support and students' self‐efficacy. Implications for practice and/or policy: • Given that parental autonomy support and students' self‐efficacy mediating the influence of teacher autonomy support on students' online SRL, it is important to improve parental autonomy support and students' self‐efficacy. • In order to improve students' online SRL ability, teachers need focus on parental autonomy support, and parental autonomy support focus on improving students' self‐efficacy. [ABSTRACT FROM AUTHOR]

Background: Researchers debate whether game‐based learning (GBL) affects students' achievement emotions, as past studies yielded mixed results. Objectives: This study determines the overall effect of GBL on students' positive achievement emotion and their negative achievement emotions (PAEs, NAEs), along with their moderators. Methods: This meta‐analysis examined true or quasi‐experimental studies, reported in English or Chinese, and with students (ranging from primary schools to universities) who did not report physiological and/or psychological illnesses. Results: Compared to traditional instruction, GBL had a positive effect on students' PAEs (g =0.526, k = 39, 95% CI = [0.319, 0.733]) and a negative effect on NAEs (g = −0.517, k = 22, 95% CI = [−0.709, −0.324]). GBL's positive effects on students' PAEs were (a) largest in middle school and otherwise generally larger in higher grades, and (b) largest for competition GBLs (compared to cooperative or individual GBLs). GBL's negative effects on students' NAEs were (a) larger in collectivist cultures than individualistic ones, (b) progressively larger in primary school, middle school, and university, (c) larger for non‐digital games than digital games, (d) smallest for individual games, (e) progressively larger in mathematics, social sciences, language, science, and highest in engineering and technology, and (f) smallest for extremely short or extremely long intervention durations (very short: up to 45 min; very long: over 2 months). Take Away: GBL often increases students' PAEs and decreases their NAEs, though their effect sizes differ across cultural values, grade level, game type, academic subject, or intervention duration. Hence, educators should consider these aspects when designing / selecting education games for their students and instructional contexts. Lay Description: What is already known: There are many definitions concerning educational games, resulting in a lack of consensus in conceptualisation.The impact of educational games on students' learning and development has aroused significant interest among scholars.As previous studies have shown mixed results, whether GBL supports or hinders students' achievement emotions remains ambiguous. What this paper adds: Contribution to a clarification of the overall effect sizes of educational games on students' positive and negative achievement emotions (PAEs and NAEs).Insights into the impacts of educational games on students' PAEs and NAEs taking into account some moderator variables (e.g., cultural values, grade level, game type, academic subject, intervention duration). Implications for practice: Planners, implementers and evaluators of GBL should carefully consider the appropriateness of digital games in learning.GBL can be appropriately applied in teaching to control the fluctuations of middle school students' NAEs.Concrete suggestions for future research are discussed. [ABSTRACT FROM AUTHOR]

Serious games have proven to be a powerful tool in education to engage, motivate, and help students learn. However, the change in student knowledge after playing games is usually measured with traditional (paper) prequestionnaires–postquestionnaires. We propose a combination of game learning analytics and data mining techniques to predict knowledge change based on in‐game student interactions. We have tested this approach in a case study for which we have conducted preexperiments–postexperiments with 227 students playing a previously validated serious game on first aid techniques. We collected student interaction data while students played, using a game learning analytics infrastructure and the standard data format Experience API for Serious Games. After data collection, we developed and tested prediction models to determine whether knowledge, given as posttest results, can be accurately predicted. Additionally, we compared models both with and without pretest information to determine the importance of previous knowledge when predicting postgame knowledge. The high accuracy of the obtained prediction models suggests that serious games can be used not only to teach but also to measure knowledge acquisition after playing. This will simplify serious games application for educational settings and especially in the classroom easing teachers' evaluation tasks. Lay Description: What is currently known about the subject matter Serious games are a powerful tool to engage, motivate, and help students learn.Pre‐post experiments are commonly used to measure knowledge acquisition.Game learning analytics can be applied to interaction data from games. What this paper adds We present a two‐step approach combining game learning analytics and data mining to predict players' performance in serious games based on their interactions.The approach is tested in a case study with pre‐post experiments collecting interaction data with 227 students playing a serious game to determine if performance can be accurately predicted.The comparison of prediction models has helped to determine if pretest information is essential.The highly accurate prediction models obtained suggest that games can be used to teach and measure knowledge acquisition after playing. Implications of study findings for practitioners The approach aims to simplify the measurement of players' learning with serious games.It may be generalized at least to similar scenarios (e.g., games for procedural learning or game‐likesimulations) where similar interaction data are feasible.Game mechanics and educational design should define the interaction data to capture.Using an accepted standard tracking profile is a clear recommendation. [ABSTRACT FROM AUTHOR]

Given the widespread use of touch screen devices, the effect of the users' fingers on information processing and learning is of growing interest. The present study drew on cognitive load theory and embodied cognition perspectives to investigate the effects of pointing and tracing gestures on the surface of a multimedia learning instruction. Learning performance, cognitive load and visual attention were examined in a one‐factorial experimental design with the between‐subject factor pointing and tracing gestures. The pointing and tracing group were instructed to use their fingers during the learning phase to make connections between corresponding text and picture information, whereas the control group was instructed not to use their hands for learning. The results showed a beneficial effect of pointing and tracing gestures on learning performance, a significant shift in visual attention and deeper processing of information by the pointing and tracing group, but no effect on subjective ratings of cognitive load. Implications for future research and practice are discussed. Lay Description: What is currently known about the subject matter? Pointing and tracing gestures enhance learning with multimediaThe effect is true for paper based and digital learning instructionsLess is known about the cause of this effect with regard to complex learningDifferent theoretical explanations are currently discussed What our paper adds to this A detailed analysis of the effect using eye‐tracking and touch screen dataEvidence that the effect of pointing and tracing is mediated by eye‐movementsRelevant information concerning the discussion about theoretical explanations The implications of study findings for practitioners Pointing and tracing gestures can guide the learners' visual focus of attentionPointing and tracing gestures can increase the learners' visual attentionPointing and tracing gestures foster information processing when learning with multimediaLearners can or even should use pointing and tracing gestures to support learning [ABSTRACT FROM AUTHOR]

Student engagement within the development of learning analytics services in Higher Education is an important challenge to address. Despite calls for greater inclusion of stakeholders, there still remains only a small number of investigations into students' beliefs and expectations towards learning analytics services. Therefore, this paper presents a descriptive instrument to measure student expectations (ideal and predicted) of learning analytics services. The scales used in the instrument are grounded in a theoretical framework of expectations, specifically ideal and predicted expectations. Items were then generated on the basis of four identified themes (Ethical and Privacy Expectations, Agency Expectations, Intervention Expectations, and Meaningfulness Expectations), which emerged after a review of the learning analytics literature. The results of an exploratory factor analysis and the results from both an exploratory structural equation model and confirmatory factor analysis supported a two‐factor structure best accounted for the data pertaining to ideal and predicted expectations. Factor one refers to Ethical and Privacy Expectations, whilst factor two covers Service Feature Expectations. The 12‐item Student Expectations of Learning Analytics Questionnaire (SELAQ) provides researchers and practitioners with a means of measuring of students' expectations of learning analytics services. Lay Description: What is already known about this topic: Understanding student expectations of learning analytics is an important challenge for higher education institutions to address.Research has measured student beliefs regarding the features and ethical procedures of a learning analytics service. What this paper adds: This study builds on prior work by developing an instrument to measure student expectations of learning analytics services.This study proposes that student expectations of learning analytics can be measured using two subscales: (a) ethical and privacy expectations and (b) service expectations. Implications for practice and/or policy: Higher education institutions should understand what students expect from learning analytics services before any implementations are actioned.Higher education institutions have a validated instrument to gauge and understand student expectations of learning analytics services.Results obtained from the instrument can be used to inform the development of specific learning analytics policies for each higher education institution. [ABSTRACT FROM AUTHOR]

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. Lay Description: What is currently known: There are numerous scales developed to measure students' attitude toward computer programming, such as the computer programming attitude scale (CPAS).The development of these inventories stemmed from the elusive nature of attitude and the lack of specific construct to measure attitude.These instruments measure students' attitude 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). What this paper adds: The present research brings a novel approach to instrument development by acknowledging the presence of attitude toward computer programming.This novel approach advances the knowledge of instrument development in the field of attitude measurement by introducing a paradigm shift from conventional attitude evaluation to a more diverse approach.The study has introduced new items to the existing CPAS, and subsequently, indicates the possibility of validating an attitude inventory using data obtained from ambivalence evaluation.By using this instrument, students' attitude is measured accurately rather than adopting the conventional measures that ignored the presence of negative and positive evaluations. Implication to practitioners: Through the findings of the study, computer science and programming educators would come to know that many positive and negative attitude elements are occasionally subsumed toward an attitude object, thereby leading to an ambivalence attitude.The instrument can be used by the practitioners to accurately measure students' positive and negative attitude toward programming across all levels of education.Using the instrument, practitioners can predict the identified attitude using wide range of variables such as gender, age, computational thinking skills, programming proficiency levels, among others. [ABSTRACT FROM AUTHOR]

Background: Zoomorphism, an obverse of conventional anthropomorphism, has been shown in many cases to be a powerful tool with respect to the metaphorical use of animals. Objectives: This study introduced zoomorphism into the instructional video design of pedagogical agents (PAs). Method: We first developed three image sets, each of which corresponded to a type of zoomorphic PA image construct (full panda, a human face with a panda body, and a human body with panda head imagery). Then, we conducted an image‐screening experiment in which 177 second‐grade students from a primary school were asked to select their favourite PA image for each image construct set. We used a realistic human PA as the baseline. Next, 114 second‐grade students from another school were randomly assigned to learn instructional videos on the topic of pandas using a PA with one of four imageries. Results and Conclusions: ANOVA and Kruskal–Wallis tests indicated that students presented with PAs with full‐panda imagery achieved significantly higher learning performance, learning experience, social presence, and learning interest than those presented with other imageries of PAs. The regression results showed that the effect of zoomorphic PAs with full‐panda imagery on learning performance was exerted in a direct way and that its effect on learning experience was mediated by social presence and learning interest. Implications: Our findings suggest that zoomorphic appearance is an essential quality for video learning that merits further investigation for the efficient imagery construction of PAs. Lay Description: What is already known about this topic: The inclusion of pedagogical agents with images that are attributed human qualities to animals known as anthropomorphism is very popular in multimedia education; however, the existing studies on the effects of such images on learning have shown inconsistent results. What this paper adds: We introduced the alternative philosophy of animal use‐zoomorphism, which is the obverse of anthropomorphism, into agent image building. Implications for practice and/or policy: Our study demonstrated that the zoomorphism of agent images increases learning performance and experience; thus, our findings suggest the prospect of zoomorphism in the development of agent image patterns. [ABSTRACT FROM AUTHOR]

Background: Cognitive load (CL) management is essential in safety‐critical fields so that professionals can monitor and control their cognitive resources efficiently to perform and solve scenarios in a timely and safe manner, even in complex and unexpected circumstances. Thus, cognitive load theory (CLT) can be used to design virtual reality (VR) training programmes for professional learning in these fields. Objectives: We studied CL management performance through behavioural indicators in authentic VR flight training and explored if and to what extent physiological data was associated with CL management performance. Methods: The expert (n = 8) and novice pilots (n = 6) performed three approach and landing scenarios with increasing element interactivity. We used video recordings of the training to assess CL management performance based on the behavioural indicators. Then, we used the heart rate (HR) and heart rate variability (HRV) data to study the associations between the physiological data and CL management performance. Results and Conclusions: The pilots performed effectively in CL management. The experience of the pilots did not remarkably explain the variation in CL management performance. The scenario with the highest element interactivity and an increase in the very low‐frequency band of HRV were associated with decreased performance in CL management. Takeaways: Our study sheds light on the association between physiological indicators and CL management performance, which has traditionally been assessed with behavioural indicators in professional learning in safety‐critical fields. Thus, physiological measurements can be used to supplement the assessment of CL management performance, as relying solely on behavioural indicators can be time consuming. Lay Description: What is currently known about the subject matter: The advantages of VR training systems are clear in the safety‐critical fields.Cognitive load (CL) theory may help design of VR training.CL management is part of the professional competence in these fields. What this paper adds: The pilots performed well in CL management in VR flight training.The work experience of the pilot was not associated with the performance.The physiological data improved the explanatory level of the performance. The implications of study findings for practitioners: Pilots need time to get used to the immersive learning environment.Typical 1–2‐hour intensive VR flight training is not too demanding.The physiological data could complement CL management assessment. [ABSTRACT FROM AUTHOR]

Background: Explorative online information search activities are self‐regulated learning processes that require monitoring in the form of accurate metacognitive judgments about one's own knowledge. People have to judge what they know, but also understand what they do not know. Previous research has explored those two aspects in relation to each other mostly by employing measures of metacognitive calibration and points toward a potential detrimental effect of using the internet to answer knowledge test items. Objectives: This research aimed to disentangle those two aspects of knowledge and to describe a false certainty effect (FaCE), indicating an increase in confidence in the correctness of incorrect responses in a knowledge test after online information search. We also aimed to further explore the conditions under which this effect occurs. Methods: In two studies participants' knowledge and on‐item confidence ratings were measured before and after a short online information search activity. In Study 1, we analyzed data of two samples with and without knowledge gain. In Study 2, we manipulated the familiarity of knowledge test items and whether there was an information search activity. Results: Study 1 showed that false certainty occurred even when a search activity did not lead to any learning success. This FaCE, however, was stronger when there was actual knowledge gain. In Study 2, we found that the effect was caused by the information search activity itself and not by the pre‐post methodology of identical knowledge‐test items. Implications: Our results demonstrate the emergence of increased confidence in the correctness of incorrect responses in knowledge tests after online information search activities. Educators and researchers should be aware of this undesired false certainty effect of computer‐assisted learning on individuals' knowledge monitoring. Lay Description: What is already known about this topic: Online information search in order to learn about a knowledge topic is a frequent activity in everyday life and different educational contexts.Individuals engaging in online search need to regulate their learning behaviour, which can be challenging.Monitoring what is known and (not yet) known is an important aspect of those regulatory processes. What this paper adds: Online information search activities with or without knowledge gain result in increased certainty in one's knowledge.Such activities also increase false certainty in what is not known as measured by confidence in the correctness of false answers to knowledge test items.This increase in false certainty can be observed for different knowledge topics and varying information search contexts. Implications for practice and/or policy: Our results highlight the need for educators to think about efforts to reduce the false certainty effect in online information search. [ABSTRACT FROM AUTHOR]

Background: It has been assumed that prompting students to plan, monitor and evaluate their learning process could stimulate strategy use and thereby improve learning outcomes. Objectives: This study aimed to examine the effects of metacognitive prompts on students' self‐regulated learning (SRL) and learning outcomes in the context of computer‐based learning environments (CBLEs). Methods: To achieve this, the current study took a meta‐analytic approach to critically evaluate evidence for the effectiveness of metacognitive prompts and identify potential moderators of the effects. Results and conclusions: With random‐effects models, the results showed that metacognitive prompts significantly enhanced SRL activities (g = 0.50, 95% confidence interval [0.37, 0.63]) and learning outcomes (g = 0.40, 95% confidence interval [0.31, 0.49]) relative to the control conditions. Furthermore, moderator analyses revealed that the effects varied as a function of three prompts features: feedback, specificity and adaptability. Implications: Developing task‐specific, individual‐adaptive prompts and feedback should be a design principle in CBLEs, such that the prompt effect could be retained, sustainably enhanced and transferred to novel situations. Lay Description: What is already known about this topic: Prompts have positive effects on students' self‐regulated learning (SRL) activities in the context of computer‐based learning environments (CBLEs).Prompts have positive effects on students' learning outcomes. What this paper adds: Feedback significantly moderated the effects of metacognitive prompts on both SRL activities and learning outcomes.Adaptability was a significant moderator of SRL activities.Specificity was a significant moderator of learning outcomes. Implications for practice: Metacognitive prompts should be embedded in CBLEs to support SRL activities and knowledge gains.Designing task‐specific, individual‐adaptive prompts and feedback should be a design principle in CBLEs. [ABSTRACT FROM AUTHOR]

Background: Online discussion is one of the commonly used tools to enhance students' interactions and engagements in online courses, but it is not clear how social presence in online discussions impacts students' learning and what kinds of interactions we should encourage. Social network analysis provides a new methodology to investigate how social interactions in online discussions influence learning. Objectives: The study aims to identify students' online discussion interaction patterns and investigate how they are related to students' learning performance in an asynchronous course. Methods: Students who enrolled in an asynchronous undergraduate course were invited to participate in this study. Participants' online discussion participation data were collected from six online discussions from an asynchronous online course. Data were analysed using social network analysis methods as well as correlation and regression analysis. Results and Conclusions: We found that statistically significant positive correlations existed between learning performance and out‐degree and closeness, respectively, which provided evidence to support that social interactions in online discussions have positive correlations with learning. We also found that out‐closeness contributes to students' learning performance. The results of the study imply that knowledge construction occurs mainly in the centre of the outgoing network. By interpreting this study's results with the social construction of knowledge model, we conclude that knowledge construction mainly happens in reading and commenting on others' posts by internalizing and integrating external useful information from others. Implications: While numerous studies have emphasized the importance of interactions in online discussions or collaborative learning, there are limited studies on what kind of interactions we should encourage and what role students play in knowledge construction. The results of this study provide evidence that knowledge construction happens when students are reading and commenting on others' posts, which includes a hidden process of integrating external useful information into their own understanding. Practical strategies are provided to encourage students to be expansive and actively reach out to other students. Lay Description: What is already known about this topic: Vygotsky's social development theory stresses the interaction of interpersonal, cultural‐historical, and individual factors as the key to human development.The interactions among students in asynchronous online discussions play an important role in higher phases of knowledge creation.Some studies have investigated the relationship between knowledge construction and centrality measurements of networks in asynchronous online discussions using social network analysis method, but the results are mixed. What this paper adds: This study investigated the interaction patterns at a deep level by using social network analysis techniques. The three main interaction patterns were found in six online discussions of one online asynchronous course over one semester.The interaction patterns of the networks of these online discussions indicate that the majority of students are not expansive enough; moreover, the network density, transitivity, and clustering coefficient are low.Using social network analysis, this study has found that out‐degree and closeness measurements of the online discussion networks are positively correlated with students' academic performance. This study also found that out‐closeness contributes to students' learning performance. The results of this study imply that outgoing networks play a more crucial role than incoming networks in students' learning performance. It appears that knowledge construction happens mainly in the centre of the outgoing network. Implications for practice and/or policy: Knowledge construction happens when students are reading and commenting on others' posts, which includes a hidden process of integrating external useful information into their own understanding. This process may externalize as reading and commenting on others' posts in online discussions.Expansively interacting with others in online discussions plays a vital role in knowledge construction. It may be beneficial to encourage more student interactions in online discussions, especially encouraging students to be expansive and actively reach out to other students. [ABSTRACT FROM AUTHOR]

Background: There is a lack of critical or empirical work interrogating the nature and purpose of evaluating technology use in education. Objectives: In this study, we examine the values underpinning the evaluation of technology use in education through field specialist perceptions. The study also poses critical reflections about the rigour of evaluation instruments development in the educational technology field. Method: A total of 48 domain specialists were surveyed to investigate the face and content validity of 39 items under eight constructs, with both qualitative and quantitative data from the survey analysed. Results: There was an alignment between the constructs that the specialists felt were important and the constructs that have typically been the focus of empirical studies, with field specialists indicating high relevance scores for technology (M = 3.24/4), learning outcomes (M = 3.20/4), affective elements (M = 3.19/4), behaviour (M = 3.15/4), presence/community (M = 3.07/4), teaching/pedagogy (M = 3.01/4), design (M = 2.96/4), and institutional environment (M = 2.86/4). Only a minority of other studies were found to perform face and content validity checks and even then only with small samples of respondents (usually n ≤ 5). Implications: Specialists in educational technology research confirm that all eight dimensions are important to consider when evaluating the use of technology in education. Thorough face and content validity processes should be adopted when developing educational technology evaluation instruments. Further work has validated an eight factor 28 item instrument for evaluating the use of technology in education using a large sample of students from a global open learning online course. Lay Description: What is already known about this topic: Comprehensive evaluation of technology use is essential to make decisions on learning technology strategies.There is a lack of critical work interrogating how technology use is evaluated in education.There is a need for developing evaluation instruments in the educational technology field. What this paper adds: An examination of 48 field specialist perceptions of important constructs when evaluating technology use in education.Field specialists agreed that eight constructs identified in empirical studies were relevant to educational technology evaluation.Evidence of limited face and content validation processes based on previous empirical work.A comprehensive 39‐item instrument for evaluating technology use in education. Implications of study findings for practitioners: Adopt a broad range of constructs when evaluating the use of technology in education.Apply face and content validation processes involving a large sample of experts.Consider using the 39‐item instrument to evaluate educational technology use. [ABSTRACT FROM AUTHOR]

Background: Though pedagogical artificial agents are expected to play a crucial role in the years to come, earlier studies provide inconsistent results regarding their effect on learning. This might be because their potential for exhibiting subtle nonverbal behaviours we know from human teachers has been untapped. What is more, there is little evidence of the processes underlying the effect of nonverbal behaviours of teachers (either human or artificial) on learning, so as to better guide their practical application. Objectives: The aims of the current research were threefold: firstly, to examine the effect of an artificial agent's vocal expressiveness on non‐verbal immediacy (teachers' ability to increase psychological closeness through nonverbal communication). Secondly, to test whether an artificial agent showing strong vocal expressiveness will enhance affective and cognitive learning (perceived and actual), as compared to an artificial agent that shows weak vocal expressiveness. Thirdly, to examine whether the underlying mechanisms of motivation and attention explain the effect of immediacy (and thereby also of vocal expressiveness) on the two learning outcomes. Methods: The study used a between‐participants design, with the participants being randomly assigned to one of the two experimental conditions: artificial modelling with strong expressiveness and artificial modelling with weak vocal expressiveness. Results and conclusions: Results showed that an artificial agent with strong vocal expressiveness increased affective and perceived cognitive learning. Partial support was found for actual cognitive learning. What is more, our findings revealed that vocal expressiveness is related to affective and perceived cognitive learning because it promotes nonverbal immediacy. Finally, results provided evidence of motivation as a mediator of the path from immediacy to affective learning. Major takeaways: The current findings verify the important role of nonverbal immediacy found in traditional educational settings. However, showing that these results also apply to artificial teachers is essential, given that the educational landscape is changing and reshaping by artificial intelligence. Thus, taking into consideration the role of vocal expressiveness in the development of artificial teachers or voice assistants like Alexa, Siri, and Google assistant, as a way to enhance immediacy and affective experience of learners is of imperative value, since they will be found more and more in our societies. Lay Description: What is currently known about the subject matter: There is a positive effect of nonverbal cues of human teachers on students' learningThe artificial agent's voice is important for learning. What their paper adds to this: Provides strong evidence of the positive effect of vocal expressiveness of artificial agents on learning outcomes.Reveals that vocal expressiveness is related to learning outcomes because it enhances immediacy.Examines the proposed mechanisms of motivation and attention as mediators of the path from immediacy to affective and cognitive learning. Implications of study findings for practitioners: Taking into consideration vocal expressiveness of artificial agents during the design process is essential for increased learning.The combination of the vocal parameters of pitch and speech rate is effective for constructing vocal expressiveness.By showing the underlying mechanisms of artificial agents' nonverbal cues (i.e., vocal cues) on learning, it helps designers to make a better decisions during construction.The study's findings are also pertinent for human teachers in improving students' learning in traditional educational settings. [ABSTRACT FROM AUTHOR]

Learning and teaching algebra concepts are frequent problems for both students and teachers alike. Students struggle to learn algebra, and teachers struggle to identify the best way to teach algebra. It is recurrent that teachers use instructional methods that promote memorization, and, consequently, the learning process may prove unsatisfactory. This paper introduces Virtual Algebra Tiles, an open educational resource whose purpose is to enable students to use algebra tiles from a computer to enhance their knowledge of algebra concepts. To evaluate the effectiveness of the system, we designed a case study. The participants were 40 students of engineering degrees who were randomly assigned to experimental or control groups. Results indicate that the system has a large effect size (ES = 0.83, p < 0.001) on learning effectiveness and a promising long‐term knowledge retention (ES = 0.79, p < 0.001). Students concluded that this version of algebra tiles is more motivating than other versions, because it is presented in a format that stands natural to them. Students feel more comfortable in virtual environments, and therefore, the learning process becomes a more pleasant task. Lay Description: What is already known about this topic: Inadequate teaching methodologies can lead to student failure.It is necessary to decrease the emphasis on memorization and to favour active learning techniques.The use of mathematical manipulatives increases students' learning gains.Algebra tiles are an educational resource that helps students understand algebra concepts by using geometric figures. What this paper adds: Virtual Algebra Tiles is a multimedia version of the educational resource algebra tiles.Virtual Algebra Tiles has a large effect size on students' learning achievements.Virtual Algebra Tiles improves students' long‐term knowledge retention. Implications for practices and/or policy: Teachers should participate in the development of digital pedagogical material to enrich their lectures.It is necessary to develop more open educational resources, which can be accessed by students and teachers.Digital educational resources must take into account the special needs of particular users. [ABSTRACT FROM AUTHOR]

The current study investigated the application and effectiveness of computer assisted language learning (CALL) in teaching academic writing to Iranian EFL (English as a Foreign Language) learners by means of Microsoft Word Office. To this end, 44 sophomore intermediate university students majoring in English Language and Literature at an Iranian university who had enrolled in a course called Advanced Writing were randomly divided into two groups. As a pre-test, a pen-and-paper writing task was given to both groups at the beginning of the semester. The control group including 24 male and female students was taught based on traditional approach while the experimental group including 20 male and female students was taught based on CALL. At the end of one semester, a pen-and-paper writing task was given to both groups. The results of the post-test revealed that the students who were exposed to computer-based instruction outperformed their counterparts in terms of using appropriate articles, tense, plural forms and spelling. Moreover, the students in the experimental group produced paragraphs of higher quality. The findings of this study confirmed the efficacy of computer-based instruction in the development of EFL learners' writing skills. [ABSTRACT FROM AUTHOR]

Enhancing student engagement plays a critical role in reducing student drop‐out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student engagement construct has long been impeded by the inconsistency in its multidimensional structure and the conceptual ambiguity among its components. This study aims to examine the underlying structure of student engagement in online learning based on the bi‐factor exploratory structure equation modelling framework (B‐ESEM). Four competing models representing the underlying structure of student engagement in online learning were compared based on their degree of fit to survey data from 363 students in an online undergraduate program. Students' responses to the online learning engagement questionnaire were best represented by a B‐ESEM model that provided simultaneous assessment of a global engagement factor and specific factors of behavioural, cognitive, affective and social engagement while controlling for item cross‐loadings. However, behavioural engagement only retained limited specificity once the global engagement factor was taken into account. The study findings offer a solution to reconcile the inconsistency in the multidimensional structure of student engagement and reduce the conceptual ambiguity among its components, thus contribute to better measuring student engagement in online learning. Lay Description: What is currently known about the subject matter?: Student engagement is an important indicator of online learning outcomes and an early sign of student disengagement and dropout.Understanding student engagement in online learning is a critical endeavour that requires adequate conceptualization and operationalization of the construct.The conceptual understanding of student engagement is impeded by the inconsistency in its dimensional structure and the conceptual ambiguity among its components. What does this paper add to the existing body of research?: We adopt a bi‐factor exploratory structural equation modelling approach to examine the underlying structure of student engagement in online learning.Students' responses to the online student engagement questionnaire were best represented by a bi‐factor model.The global factor of student engagement and specific components of behavioural, cognitive, affective and social engagement can be simultaneously assessed. Implications of study findings for practitioners: The bi‐factor exploratory structural equation model has potential to address concerns about the inconsistency in the multidimensional structure of student engagement in online learning and the conceptual ambiguity among its components.Self‐report items might not be appropriate for the assessment of behavioural engagement as they better represent the global engagement factor.Self‐report items are more suitable for assessing internal psychological processes associated with cognitive, affective and social engagement components. [ABSTRACT FROM AUTHOR]

Abstract: Low‐cost devices have widened the use of multimodal data in experiments providing a more complete picture of behavioural effects. However, the accurate collection and combination of multimodal and behavioural data in a manner that enables reproducibility is challenging and often requires researchers to refine their approaches. This paper presents a direct replication of a multimodal wordlist experiment. Specifically, we use a low‐cost Emotiv EPOC® to acquire electrophysiological measures of brain activity to investigate whether retrieval during learning facilitates the encoding of subsequent learning as measured by performance on recall tests and reflected by changes in alpha wave oscillations. Behavioural results of the wordlist experiment were replicated, but physiological results were not. We conclude the paper by highlighting the challenges faced in terms of replicating the previous work and in attempting to facilitate the reproducibility of our own experiment. [ABSTRACT FROM AUTHOR]

Nowadays, patients' safety is the top priority for medical services around the world. However, it is believed that many of the adverse events in hospitals are preventable. Type and screen (T&S) procedures require intense practical training by each medical practitioner in each hospital. This study applied an interactive Virtual Reality (VR) technology to supplement the traditional approach to facilitate procedural training. The VR system made use of the Unity3D for application development. To investigate the reliability and validity of the conceptual medical training model, a survey was conducted to measure the content, motivation and enhanced readiness of practitioners. The partial least squares (PLS) modelling was carried out to investigate the correlation between each pair of measured variables. The study results indicated that the learning model has good reliability for each measurement factor and validates the survey study. The PLS modelling also indicated a significant correlation between each pair of measured variables. The project developed a VR training program for training in T&S procedures. The study provides important implications on the development of a practical VR training program for medical practitioners, as well as valuable insights for the development of similar VR training programs in the future. Lay Description: What is already known about this topic: Patients' safety is the cornerstone of high‐quality medical services around the worldPractical skill training no matter whether a student in a medical degree programme at university or as a medical intern is very importantType and screen (T&S) is an essential protocol and diagnostic procedure for patients, and it requires intense practical training by each medical practitioner, and is essential to doctors, nurses, and medical interns in all hospitalsVR offers benefits to the learners, as well as educators. It is cost‐effective, and provides safe, repeatable, standardized and interactive training to medical practitioners. What this paper adds: An interactive Virtual Reality (VR) training program is developed to supplement the traditional approach to facilitate procedural training for medical practitionersA conceptual model to investigate the relationship between content (C), motivation (M), and enhanced readiness (E) for medical practitioners under VR trainingThe PLS modelling has indicated a significant correlation between content, motivation, and enhanced readiness. Implications for practice and/or policy: In the training of medical practitioners, besides considering the gaming elements in the training program, more emphasis should be put on the design of the content to enhance their motivation for learningThe motivation of medical practitioners has positive impact to their readiness for participating the VR trainingThe study has important indication in the design of similar practical VR training programs in the future. [ABSTRACT FROM AUTHOR]

This study examines the influence of perceived social presence on online graduate students' value and expectancy beliefs. Forty‐nine participants enrolled in an online teacher leadership graduate program completed questionnaires that measured perceived social presence and value and expectancy beliefs. A series of simple linear regression analyses revealed that social presence positively predicted students' value for online learning. Social presence did not predict participants' expectations of future success in teacher leadership. Results partially supported the assumption of the expectancy‐value model that motivational beliefs are influenced by the information students receive from social partners. Moreover, the study tested and confirmed the application of the model in online settings and for students pursuing graduate education. Lay Description: What is already known about this topic: Value and expectancy motivational beliefs are influenced by perceptions of the classroom social climate.In online learning environments, social presence characterizes the classroom social climate.Existing studies mostly examine the social determinants of value and expectancy beliefs of children in K‐12 face‐to‐face educational settings.The role of social presence in shaping value and expectancy beliefs in fully online graduate programs needs more empirical attention. What this paper adds: A study that examined the impact of social presence on value and expectancy beliefs of online students pursuing graduate education.Social presence predicts value beliefs in online graduate students.Social presence is a social determinant of motivational beliefs. Implications for practice and/or policy: Promotes more careful attention to social presence and motivation in online graduate programs.Identifies social presence as a legitimate social precursor to value and expectancy beliefs.Broadens the scope of research on social determinants of motivational beliefs. [ABSTRACT FROM AUTHOR]

Developing oral presentation skills is an essential objective of higher education. While previous research emphasized the importance of practice for developing oral presentation skills (OPS), it remains unclear what the optimal amount of practice is. This experimental field study examined the added benefit of an extra practice session in virtual reality (VR) on the progression of 35 graduate students in OPS, using a pre‐test post‐test design. In addition, the mediating effect of public speaking anxiety (PSA) was examined and the relation between PSA, preparation practices, perceived utility of VR and OPS was explored. Questionnaires and performance assessments were used in data collection. Results showed that participants gained benefits from practicing a third time before a virtual audience. Both anxious and non‐anxious participants progressed similarly on presentation skills and experienced the VR intervention comparably. However, the optimal number of practice presentations remains unclear and should be further investigated. Lay Description: What is currently known about the subject matter: Presenting is recognized as a core competence for higher educated professionals in various domains.The opportunity to practice oral presentations is considered a crucial learning environment characteristic.Modern technological solutions can offer time‐ and place‐independent practice opportunities.It remains unclear what the optimal amount of practice is for developing oral presentation skills. What this paper adds to this: This study aims to provide empirical evidence for the optimal number of practice sessions on oral presentation performance.Results showed that participants gained benefits from practicing a third time before a virtual audience.Both anxious and non‐anxious participants progressed similarly on presentation skills and experienced the VR intervention comparably.The optimal number of practice presentations remains unclear and should be further investigated. The implications of study findings for practitioners: Practicing several times in front of a (virtual) audience should be facilitated by educational institutions.VR can be a useful tool to facilitate repeated practice sessions, by saving both in‐class time and offering the opportunity to practice independently.VR can be used in presentation trainings for several target groups, including those with high communication‐related anxieties. [ABSTRACT FROM AUTHOR]

As immersive virtual reality (IVR) systems proliferate in classrooms, it is important to understand how they affect learning outcomes and the underlying affective and cognitive processes that may cause these outcomes. Proponents argue that IVR could improve learning by increasing positive affective and cognitive processing, thereby supporting improved performance on tests of learning outcome, whereas opponents of IVR contend that it could hurt learning by increasing distraction, thereby disrupting cognitive learning processes and leading to poorer learning outcomes. In a media comparison study, students viewed a biology lesson either as an interactive animated journey in IVR or as a slideshow on a desktop monitor. Those who viewed the IVR lesson performed significantly worse on transfer tests, reported higher emotional arousal, reported more extraneous cognitive load and showed less engagement based on EEG measures than those who viewed the slideshow lesson, with or without practice questions added to the lessons. Mediational analyses showed that the lower retention scores for the IVR lesson were related to an increase in self‐reported extraneous cognitive load and emotional arousal. These results support the notion that immersive environments create high affective and cognitive distraction, which leads to poorer learning outcomes than desktop environments. Lay Description: What is already known about the topic: IVR is gaining popularity in classrooms, and it is important to understand its effects on learning.Some theories suggest IVR could help learning because it may increase motivation.Other theories suggest IVR could hurt learning because it causes distraction. What this paper adds: The biology lesson displayed in IVR led to less learning than a PowerPoint lesson.Viewing the IVR lesson caused higher emotional arousal than viewing the PowerPoint lesson.The IVR lesson led to more distraction based on self‐report and EEG measures than the PowerPoint lesson.These results suggest that IVR creates high emotional and cognitive distraction, which leads to less learning. Implications for practice: Using IVR to replace traditional classroom lessons may not yet be useful.However, because students report enjoying IVR, it may be useful to use in addition to conventional lessons.Future research should determine how specific factors of the technology and the learners affect learning outcomes. [ABSTRACT FROM AUTHOR]

Retrieval practice promotes retention more than restudying (i.e., the testing effect) and is applied to many educational settings. However, little research has investigated means to enhance this effect in educational settings. Theoretical accounts assume retrieval practice to be the most effective whenever retrieval is difficult but successful. Therefore, we developed a novel retrieval practice procedure, which adapts to learners' abilities and can be applied irrespective of learning content. This adaptive procedure aims to make retrieval gradually easier whenever students provide an incorrect answer. In a field experiment, students read book chapters as part of a weekly university course. In three consecutive weeks, they then practiced reading assignments by (a) adaptive testing, (b) non‐adaptive testing and (c) restudy. In Week 4, a surprise criterial test took place. Restudy outperformed both testing conditions, whereas adaptive testing performed equally well as non‐adaptive testing. However, exploratory analyses revealed that with increasing retention intervals, the superiority of restudy disappeared. Furthermore, whenever participants fully read the assignments and retention intervals increased, adaptive testing outperformed non‐adaptive testing. In sum, adaptive retrieval practice did not prove to be generally superior, but retention interval and students' preparation for class might be conditions rendering adaptive retrieval useful in educational settings. Lay Description: What is already known about this topic: Testing is a commonly used technique to assess progress in computer‐assisted learning environmentsStudents often benefit from the testing effect, that is practicing retrieval of information (testing) from memory benefits long‐term retention compared to restudyingCurrently, empirical evidence how to enhance the benefits of this technique in educational contexts is scarce What this paper adds: We propose a new approach to increase the benefit of the testing effect: For each question in retrieval practice the individual ability to retrieve this information from memory is consideredTo do so, cue informativeness of retrieval cues adapts to the individual ability level and thus makes the tests cognitively effortful but solvableThis adaptive approach is put to test in a higher education context and by using multiple‐choice questionsIn sum, adaptive retrieval practice did not prove to be generally superior to non‐adaptive retrieval practice or restudy However, retention interval and students' preparation for class might be conditions rendering adaptive retrieval useful in educational settings Implications for practice and/or policy: Findings can be implemented in educational contexts when multiple‐choice questions are used to enhance learningLearning can be optimized in computer‐assisted learning environments that allow adaptive testingWe advise adaptive retrieval only when students are well prepared for practice and when time between practice and final assessment exceeds two weeks [ABSTRACT FROM AUTHOR]