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 engagemen...
| Publicado en: | Journal of Computer Assisted Learning Vol. 41; no. 3; pp. 1 - 15 |
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| Formato: | clinical trial pictorial research tables/charts Journal Article |
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Wiley-Blackwell
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185452172&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185452172 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Jun2025 vid: 41 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 185452172 185452172 185452172 10.1111/jcal.70030 185452172 ppf: 1 ppct: 14 formats: tig: atl: Engagement, Academic Emotions, and Artificial Intelligence Application Creativity in the Metaverse: A Study of Facial Expressions. aug: au: Chang, Yu‐Shan affil: Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei, Taiwan sug: subj: Artificial Intelligence Utilization Academic Performance Evaluation Emotions Evaluation Creativeness Evaluation Augmented Reality Facial Expression Evaluation Teaching Methods Evaluation Human Male Female Funding Source Online Education Learning Methods Pretest-Posttest Control Group Design Quasi-Experimental Studies Students, High School Psychosocial Factors Thematic Analysis Speech Perception Evaluation Behavior Evaluation Empathy Anger Sadness Adaptation, Psychological Learning Environment T-Tests Coefficient alpha Multivariate Analysis of Covariance Pearson's Correlation Coefficient Chi Square Test Univariate Statistics Social Participation Descriptive Statistics Data Analysis Software Clinical Trials Male Female ab: 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. pubtype: Academic Journal doctype: clinical trial pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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