Journal of Computer Assisted Learning最新文献

{"title":"Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects","authors":"Dominic Lohr,&nbsp;Marc Berges,&nbsp;Abhishek Chugh,&nbsp;Michael Kohlhase,&nbsp;Dennis Müller","doi":"10.1111/jcal.13101","DOIUrl":"https://doi.org/10.1111/jcal.13101","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Over the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This paper explores the potential of large language models (LLMs) for generating computer science questions that are sufficiently annotated for automatic learner model updates, are fully situated in the context of a particular course and address the cognitive dimension <span>understand</span>.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Unlike previous attempts that might use basic methods such as ChatGPT, our approach involves more targeted strategies such as retrieval-augmented generation (RAG) to produce contextually relevant and pedagogically meaningful learning objects.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results and Conclusions</h3>\u0000 \u0000 <p>Our results show that generating structural, semantic annotations works well. However, this success was not reflected in the case of relational annotations. The quality of the generated questions often did not meet educational standards, highlighting that although LLMs can contribute to the pool of learning materials, their current level of performance requires significant human intervention to refine and validate the generated content.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcal.13101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examination of Multimedia Learning Principles in Augmented Reality and Virtual Reality Learning Environments","authors":"Burç Çeken,&nbsp;Nazım Taşkın","doi":"10.1111/jcal.13097","DOIUrl":"https://doi.org/10.1111/jcal.13097","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Multimedia learning, encapsulating both visual and verbal information, has become pivotal in educational settings, with extensive research underscoring its influence. However, a notable research gap exists concerning the application and effectiveness of multimedia learning principles, precisely segmenting, pre-training and modality, within emerging technologies like augmented reality (AR) and virtual reality (VR). This deficit, coupled with inconsistent findings in computer-based learning studies and a lack of focus on intrinsic cognitive load and motivation in multimedia learning, motivates the current research.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This research aims to provide insights by comparing the efficacy of these principles across different learning environments, including traditional, AR and VR.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Employing a 3 × 4 factorial design, this study involved 383 university students, randomly assigned to 12 treatment groups, to investigate multimedia learning principles in different environments. Participants engaged with learning materials on lightning formation and cell structure in various settings, including AR and VR, with data collected through multiple instruments, such as retention and transfer tests, and cognitive load and motivation questionnaires.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results and Conclusions</h3>\u0000 \u0000 <p>Results reveal that AR environments significantly improved retention scores in cell structure compared to traditional methods but had no notable impact on lightning formation. The effectiveness of educational strategies, such as modality and segmenting, depends on the subject's complexity and the learning environment's specifics. Importantly, the study underscores the need to tailor educational techniques to the subject matter, learning environment and individual learner nuances to enhance learning efficacy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementing Pretraining to Optimise Learning in Immersive Virtual Reality","authors":"Cynthia Y. Delgado,&nbsp;Richard E. Mayer","doi":"10.1111/jcal.13099","DOIUrl":"https://doi.org/10.1111/jcal.13099","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>In recent years, immersive virtual reality in education has garnered attention, however, there have been mixed findings on the efficacy of IVR in education. Thus, exploring which strategies are effective in transferring learning from IVR to real-world applications is imperative.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aims to investigate the efficacy of the pretraining principle for acquiring procedural knowledge and skills in an IVR setting that will transfer to real-world environments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Ninety-three participants were randomly assigned to either a pretraining or no-pretraining group. The pretraining group watched a video before the IVR lesson, providing the names and characteristics of the physical objects and actions of a micropipette, while the no-pretraining group did not receive this video. During the IVR lesson, participants completed a training phase, followed by a four-step serial dilution test. Afterwards, all participants completed a modified serial dilution test in a real-life setting, along with a knowledge test and assessment on cognitive load, presence, self-efficacy and demographic information.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results and Conclusions</h3>\u0000 \u0000 <p>Analyses demonstrated the pretraining group scored significantly higher on the knowledge test and committed fewer errors in the real-life serial dilution task compared to the no-pretraining group. The pretraining group also reported lower cognitive load, with no observable differences in presence, self-efficacy ratings or errors during the virtual serial dilution task between groups. Theoretical and practical implications are discussed.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcal.13099","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the Bright and Dark Sides of Social Media Use on Academic Performance: Contrasting Effects on Actual vs. Perceived Performance","authors":"Miao Chao,&nbsp;Weiyi Sun,&nbsp;Jie Liu,&nbsp;Jiahui Ding,&nbsp;Ye Zhu","doi":"10.1111/jcal.13111","DOIUrl":"https://doi.org/10.1111/jcal.13111","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study distinguishes between academic and excessive social media usage that predicts academic performance while considering academic motivation as a predictive antecedent variable.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A sample of 887 high school students participated in this study through an online questionnaire. The research model was evaluated using the structural equation modelling approach.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results and Conclusions</h3>\u0000 \u0000 <p>The results revealed that academic motivation prompts academic social media usage and reduces excessive use. Additionally, academic usage positively impacts perceived academic performance but has no impact on actual performance. Paradoxically, although excessive use doesn't affect perceived academic performance, there is an observed negative impact on actual academic performance. These findings provide valuable insights for students and educators, illuminating the limitations of academic social media usage and highlighting the detrimental effects of excessive social media use.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Digital Reading With On-Screen Distractions: An Eye-Tracking Study","authors":"Angelica Ronconi,&nbsp;Lucia Mason,&nbsp;Lucia Manzione,&nbsp;Anne Schüler","doi":"10.1111/jcal.13106","DOIUrl":"https://doi.org/10.1111/jcal.13106","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study investigated the effects of on-screen distractions, as advertisements and social media notifications, during reading on text processing, perception of cognitive load and text comprehension.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>University students (<i>N</i> = 54) participated in a within-participant design. They read two digital science expository texts, one with and the other without distractions. Participants' eye movements were recorded during reading. Process variables were the first-pass fixation time on text areas and the fixation time on distractions. Working memory was taken into account as possible moderator of outcome variables, while controlling for prior knowledge and text topic.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Participants spent very short time fixating the distractions. From linear mixed models the main effect of distractions did not emerge for the immediate text processing. Perception of cognitive load and text comprehension were not affected by distractions either. Among individual differences, prior knowledge contributed to text comprehension. Text topic contributed to the perception of cognitive load.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Takeaways</h3>\u0000 \u0000 <p>The study suggests that simple, static and very usual on-screen distractions during reading do not seem particularly harmful for university students' processing and comprehension of expository texts. Findings indicate the importance of students' top-down attentional control over on-screen distractions not to impair their own comprehension of complex content.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcal.13106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between University Students' Use of Social Networks and Their Political Knowledge and Activity","authors":"Jian Li,&nbsp;Zhaojie Wang,&nbsp;Shubin Zhao","doi":"10.1111/jcal.13104","DOIUrl":"https://doi.org/10.1111/jcal.13104","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>In today's high-tech society, the relationship between social networks and the formation of political orientation and socio-political activity within the student environment has become a key subject of research.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The aim of this article is to investigate the correlations between the influence of various social media platforms, the level of political orientation and the degree of socio-political engagement among university students.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional design was employed to understand the influence of social networks on political orientation and socio-political activity and socio-political activity. Political orientation and socio-political activity tests were applied to provide objective data for further analysis. The research findings indicate an equally positive correlation between Facebook and Instagram with students' levels of political orientation and socio-political activity, whereas a weaker correlation was observed with TikTok.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results and Conclusions</h3>\u0000 \u0000 <p>Prospects for future research may include a more profound analysis of the relationships between types of content and political orientation and socio-political activity, as well as the study of the dynamics of changes in the influence of social networks at different stages of education and personality development.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors Influencing University Students' Behavioural Intention to Use Generative Artificial Intelligence for Educational Purposes Based on a Revised UTAUT2 Model","authors":"Xin Tang,&nbsp;Zhiqiang Yuan,&nbsp;Shaojun Qu","doi":"10.1111/jcal.13105","DOIUrl":"https://doi.org/10.1111/jcal.13105","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the domain of tertiary education. However, there is a gap in understanding factors influencing university students' behavioural intention to use generative AI, leading to hesitation in its adoption.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Objectives&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The primary objective of this study was to investigate the factors that influence university students' behavioural intention to engage with and utilise generative AI. The study sought to delve into the fundamental reasons and obstacles that university students encounter when contemplating the adoption of this technology for their academic endeavours.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The study used a quantitative research design, utilising a revised version of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. Data were collected from a sample of 380 university students in Changsha, the capital city of Hunan in China. Partial least squares structural equation modelling (PLS-SEM) was used to analyse the relationships between the variables of the model, which included performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), learning value, habit and behavioural intention.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The analysis revealed that PE and EE have a direct impact on learning value. Additionally, SI and FC were found to directly affect the formation of habit. Among these factors, learning value emerged as the most potent predictor of university students' behavioural intention to use generative AI. Habit also demonstrated a significant, albeit smaller, effect on behavioural intention.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The study's findings underscore the importance of learning value in driving the adoption of generative AI among university students. Efforts to enhance the learning value of generative AI could significantly increase its uptake in higher education. Furthermore, the role of habit, while less pronounced, suggests that consistent exposure and use can foster a greater inclination towards generative AI. These insights provide a foundation for targeted interventions aimed at improving the integration and application of generative A","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tech-driven excellence: A quantitative analysis of cutting-edge technology impact on professional sports training","authors":"Meiyan Huang,&nbsp;Tang Yongquan","doi":"10.1111/jcal.13082","DOIUrl":"https://doi.org/10.1111/jcal.13082","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>The purpose of this study is to investigate how advanced technologies influence training effectiveness in professional sports, with a focus on performance enhancement, injury prevention, and overall athlete development.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study utilized a quantitative descriptive research design to assess technology's impact on ST. A sample of 450 sports professionals, selected through purposive sampling, completed structured questionnaires. Data were analysed using SPSS to identify correlations between technology use and training outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The research findings indicate that athletes utilizing virtual reality (VR), AR, and wearable technology (WT) in their training exhibit significant improvements in performance metrics (PM) and a reduction in injury risks compared to those relying on traditional training methods.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Result</h3>\u0000 \u0000 <p>The study results demonstrate that technology-assisted training improves cognitive skills (CS), decision-making, and psychological aspects like motivation and focus. Additionally, advanced analytics and artificial intelligence (AI) enable more effective, personalized coaching strategies, enhancing overall training outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Originality</h3>\u0000 \u0000 <p>This study's contribution lies in its novel approach, demonstrating virtual and augmented reality, wearable tech, and advanced analytics enhance ST by improving performance, CS, and resilience, while also reducing injuries and speeding up recovery.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This research significantly advances the sports science domain by offering empirical evidence supporting technology integration, filling prevalent gaps in the current literature.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a Design of the Best Practices for AR-Guided Oral Communication Development: A Systematic Review of Selected Research Published From 2000 to 2023","authors":"Keng-Chih Hsu,&nbsp;Gi-Zen Liu","doi":"10.1111/jcal.13103","DOIUrl":"https://doi.org/10.1111/jcal.13103","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Augmented reality (AR) emerges as a technology with considerable promise and substantial potential for pedagogical integration within language education contexts. However, there remains a scarcity of review studies exploring the best practices and principles for oral communication facilitation based on robust theoretical models or research-proven theories.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This paper aims to explore the major constituents for achieving the successful outcomes of AR-assisted oral communication, grounded in the theory-based design model, and formulate theoretical guidelines to enhance the best practice facilitation process.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Starting from 255 sources, 25 studies from the ISI Web of Science were selected through rigorous screening processes based on the guidelines of the PRISMA statement. Furthermore, the researchers adopted qualitative content analysis and complementary quantitative descriptive analysis for data synthesis in accordance with four key variables of the established model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results and Conclusions</h3>\u0000 \u0000 <p>The results showed that the guided learner-directed learning approach supported by constructionists and reflective learning mechanisms was identified as an effective pedagogical design. Additionally, educational practitioners could employ hybrid learning strategies, including situated, collaborative, self-regulated and game-based learning strategies, to facilitate effective verbal communication. Finally, besides augmenting location-based content and facilitating contextual information and discussion, AR designers were advised to integrate personalised features such as self-monitoring and evaluating and learner manipulation of virtual objects into system development to promote learners' locus of control and embodied cognition.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unlocking Augmented Reality Learning Design Based on Evidence From Empirical Cognitive Load Studies—A Systematic Literature Review","authors":"Jana Gonnermann-Müller,&nbsp;Jule M. Krüger","doi":"10.1111/jcal.13095","DOIUrl":"https://doi.org/10.1111/jcal.13095","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Despite the numerous positive effects of augmented reality (AR) on learning, previous research has shown ambiguous results regarding the cognitive demand on the learner arising from, for example, the overlay of virtual elements or novel interaction techniques. At the same time, the number of evidence-based guidelines on designing AR is limited or focuses on global effects, primarily relying on media comparison studies, whose validity is criticised.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To guide the meaningful design of learning and training settings, this paper systematically reviews empirical research on AR design and synthesises the findings to develop evidence-based recommendations for designing AR systems considering cognitive load.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a systematic literature review, initially screening 810 distinct papers and ultimately analysing findings from 27 publications, which report on 29 distinct experimental studies. This selection was based on rigorously defined inclusion and exclusion criteria, adhering to the PRISMA guidelines.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results and Conclusion</h3>\u0000 \u0000 <p>The central value of this paper is the aggregation of existing evidence from empirical studies, resulting in 15 recommendations for AR design based on six design dimensions: Spatiality-related, Interaction-related, Contextuality-related, Content-related, Guidance-related and Display Selection. Additionally, with three points for future research, this systematic literature review, first, stresses the need for more empirical evidence and value-added studies. Second, learner characteristics that might influence cognitive load in AR-based learning should be examined. Third, it advocates for the inclusion of measurements beyond the NASA-TLX, and including more physiological measurements (e.g., eye-tracking, EEG) to enhance the applicability of the results for learning and training situations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcal.13095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}