Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/121773
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Food Science and Nutrition | - |
| dc.creator | Geng, P | - |
| dc.date.accessioned | 2026-10-09T08:03:53Z | - |
| dc.date.available | 2026-10-09T08:03:53Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/121773 | - |
| dc.description | International Conference on GenAI and Pedagogical Innovations (GaPI), Hong Kong, 20-22 May 2026 | en_US |
| dc.language.iso | en | en_US |
| dc.rights | Copyright © 2026 | en_US |
| dc.rights | Copyright 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.rights | Posted with permission of the publisher. | en_US |
| dc.subject | AI agents | en_US |
| dc.subject | Immersive learning | en_US |
| dc.subject | Personalised learning pathway | en_US |
| dc.title | Investigation on learning enhancement through AI-empowered immersive environment | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.spage | 549 | - |
| dc.identifier.epage | 556 | - |
| dcterms.abstract | Traditional 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.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In 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.issued | 2026 | - |
| dc.relation.conference | International Conference on GenAI and Pedagogical Innovations [GaPI] | - |
| dc.description.validate | 202610 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | a4809-n30 | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This 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.pubStatus | Published | en_US |
| dc.description.oaCategory | Publisher permission | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Geng_Investigation_Learning_Enhancement.pdf | 192.67 kB | Adobe PDF | View/Open |
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