Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/121773
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dc.contributorDepartment of Food Science and Nutrition-
dc.creatorGeng, P-
dc.date.accessioned2026-10-09T08:03:53Z-
dc.date.available2026-10-09T08:03:53Z-
dc.identifier.urihttp://hdl.handle.net/10397/121773-
dc.descriptionInternational Conference on GenAI and Pedagogical Innovations (GaPI), Hong Kong, 20-22 May 2026en_US
dc.language.isoenen_US
dc.rightsCopyright © 2026en_US
dc.rightsCopyright of the papers is retained by the authors. No part of this collection may be reproduced by any process without prior written permission of the copyright holders.en_US
dc.rightsPosted with permission of the publisher.en_US
dc.subjectAI agentsen_US
dc.subjectImmersive learningen_US
dc.subjectPersonalised learning pathwayen_US
dc.titleInvestigation on learning enhancement through AI-empowered immersive environmenten_US
dc.typeConference Paperen_US
dc.identifier.spage549-
dc.identifier.epage556-
dcterms.abstractTraditional lecture-based education exhibits well-documented limitations, including relatively short knowledge retention times, low student engagement, and limited personalisation. This study presents a supplementary approach that enhances knowledge retention through engaging and immersive experiences. Piloted in the Department of Food Science and Nutrition, a metaverse platform integrating AI-driven virtual agents was developed to enhance students’ understanding and motivation. Through surveys and focus group interviews with two cohorts of Year-3 students (N = 92) and analysis of 171 AI avatar responses in a representative food production scene, we find that students value the platform’s interactivity, hands-on engagement, and novelty, reporting improved comprehension and enthusiasm over traditional methods. Thematic analysis highlights the AI avatars’ supportive and explanatory communication style, which contrasts with students’ short and fragmented inputs. Results also indicate students’ preference for different immersion levels and provide valuable insights for the development of more engaging, personalised, and effective learning environments in higher education.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn Chen, J., Leung, A., Tsang, E., Ng, A., Chau, J., Kam, R., Patel, M., Lo, D., Tam, B., Chon, L., Cheung, K., Tang, E., & Ho, K. (Eds.). Collection of Selected Papers from the International Conference on GenAI and Pedagogical Innovations 2026, p. 549-556. Hong Kong : Educational Development Centre, Hong Kong Polytechnic University, 2026-
dcterms.issued2026-
dc.relation.conferenceInternational Conference on GenAI and Pedagogical Innovations [GaPI]-
dc.description.validate202610 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera4809-n30en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by PolyU Teaching Development Grant (Grant No. 49SZ) and Fund for Innovative Technology-in-Education-Inter-Institutional Collaborative Activities (FITE-IICA) (Grant No. 89VR). The authors gratefully acknowledge the financial support provided by both projects.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryPublisher permissionen_US
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