{"title":"参与、学术情绪和人工智能应用在虚拟世界中的创造力：面部表情的研究","authors":"Yu-Shan Chang","doi":"10.1111/jcal.70030","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in AI applications by analysing academic emotions through facial expressions.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The study was conducted as a non-equivalent group pretest–posttest quasi-experimental construct involving 97 students from a public high school. The experimental teaching theme focused on AI image recognition and speech recognition, with the experimental group receiving online metaverse instruction and the control group receiving instruction through Google Meet.</p>\n </section>\n \n <section>\n \n <h3> Results and Conclusion</h3>\n \n <p>Key findings include the following: the metaverse significantly and positively influenced cognitive, emotional, and social dimensions of learning engagement, but no impact was observed on the behavioural dimension; the metaverse had a substantial impact on the creative performance of AI application design, particularly in the empathy, definition, ideation, and testing stages; and the metaverse significantly affected academic emotions, with increased expressions of anger and sadness observed, particularly during the empathy, definition, and ideation stages of design thinking. Thus, the results of this study provide a pedagogical foundation for the adoption of the metaverse and auxiliary tools in teaching.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 3","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Engagement, Academic Emotions, and Artificial Intelligence Application Creativity in the Metaverse: A Study of Facial Expressions\",\"authors\":\"Yu-Shan Chang\",\"doi\":\"10.1111/jcal.70030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in AI applications by analysing academic emotions through facial expressions.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The study was conducted as a non-equivalent group pretest–posttest quasi-experimental construct involving 97 students from a public high school. The experimental teaching theme focused on AI image recognition and speech recognition, with the experimental group receiving online metaverse instruction and the control group receiving instruction through Google Meet.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results and Conclusion</h3>\\n \\n <p>Key findings include the following: the metaverse significantly and positively influenced cognitive, emotional, and social dimensions of learning engagement, but no impact was observed on the behavioural dimension; the metaverse had a substantial impact on the creative performance of AI application design, particularly in the empathy, definition, ideation, and testing stages; and the metaverse significantly affected academic emotions, with increased expressions of anger and sadness observed, particularly during the empathy, definition, and ideation stages of design thinking. Thus, the results of this study provide a pedagogical foundation for the adoption of the metaverse and auxiliary tools in teaching.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48071,\"journal\":{\"name\":\"Journal of Computer Assisted Learning\",\"volume\":\"41 3\",\"pages\":\"\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer Assisted Learning\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jcal.70030\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Learning","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jcal.70030","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Engagement, Academic Emotions, and Artificial Intelligence Application Creativity in the Metaverse: A Study of Facial Expressions
Background
Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching.
Objectives
This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in AI applications by analysing academic emotions through facial expressions.
Methods
The study was conducted as a non-equivalent group pretest–posttest quasi-experimental construct involving 97 students from a public high school. The experimental teaching theme focused on AI image recognition and speech recognition, with the experimental group receiving online metaverse instruction and the control group receiving instruction through Google Meet.
Results and Conclusion
Key findings include the following: the metaverse significantly and positively influenced cognitive, emotional, and social dimensions of learning engagement, but no impact was observed on the behavioural dimension; the metaverse had a substantial impact on the creative performance of AI application design, particularly in the empathy, definition, ideation, and testing stages; and the metaverse significantly affected academic emotions, with increased expressions of anger and sadness observed, particularly during the empathy, definition, and ideation stages of design thinking. Thus, the results of this study provide a pedagogical foundation for the adoption of the metaverse and auxiliary tools in teaching.
期刊介绍：
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope
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