Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/121754
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dc.contributorDepartment of Health Technology and Informatics-
dc.creatorChiyanika, C-
dc.date.accessioned2026-10-09T08:03:33Z-
dc.date.available2026-10-09T08:03:33Z-
dc.identifier.urihttp://hdl.handle.net/10397/121754-
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.subjectChatGPTen_US
dc.subjectCollaborative learningen_US
dc.subjectDigital literacyen_US
dc.subjectGenerative Artificial Intelligenceen_US
dc.subjectHuman anatomy educationen_US
dc.titlePromoting generative AI in learning, teaching, and assessment : a case study in human anatomy educationen_US
dc.typeConference Paperen_US
dc.identifier.spage178-
dc.identifier.epage186-
dcterms.abstractThis case study examined the impact of integrating Generative Artificial Intelligence (GenAI), specifically ChatGPT, into human anatomy education, comparing the academic performance of two cohorts from different academic years. Cohort 1 () studied using traditional methods, while all students in Cohort 2 () engaged with GenAI tools during collaborative learning sessions. Survey responses from Cohort 2 () indicated that 69.8% rated their GenAI experience positively, and 60.6% reported an enhanced understanding of anatomical concepts. Academic performance analysis revealed that Cohort 2, which utilised GenAI universally, achieved a higher mean score (78.73% vs 77.31%) and a greater proportion of top grades (27.6% vs 16.5%) compared to Cohort 1. While students valued GenAI for its ease of use and interactivity, they expressed concerns regarding information accuracy and highlighted the need for further improvements. The study underscores GenAI’s potential as a valuable adjunct to traditional teaching, supporting digital literacy and pedagogical innovation in anatomy 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. 178-186. 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-n11en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis study was supported by a grant from The Hong Kong Polytechnic University on promoting the use of GenAI in LTA. The author gives special thanks to all the students for their participation.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryPublisher permissionen_US
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