New Dimensions : The Impact of the Metaverse and AI Avatars on Social Science Education

Paulina Pui Yun WONG*, Jaemin LEE, Wilkinson Daniel WONG GONZALES, Sunny Hee Sun CHOI, Haerim HWANG, Daniel Jiandong SHEN

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsBook ChapterReferred Conference Paperpeer-review


This study investigates the integration of the metaverse and artificial intelligence (AI) avatars in social science education, amidst global challenges that necessitate holistic approaches for cultivating critical global citizenship. Despite the promising capabilities of virtual reality (VR) for immersive learning, the effectiveness of the metaverse and the role of AI in enhancing educational experiences remain underexplored. The central question addressed is the impact of immersive learning experiences in the metaverse, including AI avatars, on students’ perceptions and intentions for using this technology for social science education. Findings reveal significant student engagement with immersive learning, aligning with experiential learning theories and suggesting potential for complex topic exploration. However, the influence of AI avatars on learning experiences suggests that students found environments with AI avatars harder to use than those without. Given the limitations, such as the small and specific participant pool and brief engagement duration, further research is warranted to understand the long-term effects of immersive learning in the metaverse and the advanced integration of AI avatars across various educational disciplines.
Original languageEnglish
Title of host publicationBlended Learning : Intelligent Computing in Education
EditorsWill W. K. MA, Chen LI, Chun Wai FAN, Leong Hou U, Angel LU
PublisherSpringer Singapore
ISBN (Electronic)9789819744428
ISBN (Print)9789819744411
Publication statusPublished - 29 Jun 2024
EventInternational Conference on Blended Learning - University of Macau, Macao, Macao
Duration: 29 Jul 20241 Aug 2024

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Blended Learning
Abbreviated titleICBL
Internet address


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