Literaturnachweis - Detailanzeige
Autor/inn/en | Zhao, Zeyan; Zhao, Bo; Ji, Zhongtao; Liang, Zhengyu |
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Titel | On the Personalized Learning Space in Educational Metaverse Based on Heart Rate Signal |
Quelle | In: International Journal of Information and Communication Technology Education, 18 (2022) 2, Artikel 65 (12 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Zhao, Zeyan) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1550-1876 |
DOI | 10.4018/ijicte.314565 |
Schlagwörter | Computer Simulation; Educational Innovation; Talent Development; Individualized Instruction; Metabolism; Learning Processes; Information Technology; Artificial Intelligence; Man Machine Systems; Foreign Countries; Discovery Learning; Power Technology; China Computergrafik; Computersimulation; Instructional innovation; Bildungsinnovation; Begabtenförderung; Talentförderung; Individualisierender Unterricht; Stoffwechsel; Learning process; Lernprozess; Informationstechnologie; Künstliche Intelligenz; Mensch-Maschine-System; Ausland; Entdeckendes Lernen; Antriebstechnik |
Abstract | The application of the metaverse provides a new perspective for educational innovation and talent training in the new century. By creating multi-channel perceptions such as sight, hearing, and touch through the VR/AR/MR immersive environment, the study found that learners' emotional engagement and cognitive level can be effectively improved in the metaverse. The metaverse integrates information technology, intelligent technology, and digital technology to realize a multimodal human-machine interaction and intelligent evaluation. On this basis, a personalized learning space in the educational metaverse is developed, which is researched by the PPG signal of the learning process, the pre-test, and post-test data to verify each other. In addition, it is verified that learners' learning engagement and learning effects are affected in the personalized learning space of the educational metaverse. A comparison of PPG signal-based metaverse learning and real-world classroom learning is taken. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |