Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/121756
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dc.contributorEducational Development Centre-
dc.contributorDepartment of Chemistry-
dc.creatorLo, D-
dc.creatorLam, KH-
dc.creatorChon, L-
dc.creatorHuang, X-
dc.date.accessioned2026-10-09T08:03:34Z-
dc.date.available2026-10-09T08:03:34Z-
dc.identifier.urihttp://hdl.handle.net/10397/121756-
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.subjectAssessmentsen_US
dc.subjectGenAI toolsen_US
dc.subjectScience educationen_US
dc.subjectStudents’ perceptionen_US
dc.titleUnderstanding students’ perspectives on using GenAI for their coursework in science higher educationen_US
dc.typeConference Paperen_US
dc.identifier.spage222-
dc.identifier.epage232-
dcterms.abstractThe accelerated expansion of Generative AI (GenAI) is transforming education. While it offers notable teaching and learning benefits, concerns regarding academic integrity and plagiarism remain. The Hong Kong Polytechnic University (PolyU) has been promoting the integration of GenAI into its learning, teaching, and assessment strategy. To examine challenges and opportunities, the authors conducted a pilot study with 31 science students from the Department of Applied Biology and Chemical Technology (ABCT), exploring their perspectives and GenAI usage in coursework. About half used GenAI mainly for brainstorming, summarising, and information searching, while multimedia creation was less common (26%). Most students agreed on responsible practices, particularly tool selection and integrity, though only 45% recognised privacy risks. Key benefits included time-saving (M = 4.05) and obtaining insights (M = 3.85). Challenges such as unreliable outputs and ethical concerns highlight the need for AI literacy training and clear academic integrity guidelines.-
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. 222-232. 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-n13en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis study was part of a larger project titled, Exemplary learning, teaching and assessment practices in UGC-funded institutions in the age of GenAI, supported by the Fund for Innovative Technology-in-Education (FITE) of the University Grants Committee (UGC). We gratefully acknowledge this support, as well as the assistance provided by the Educational Development Centre and colleagues for their assistance in data collection and analysis, and for the valuable feedback on the survey design. The authors would also like to thank the FLTI seed fund project “Developing a Flipped Learning Signature Showcase” (Ref. no.: Invite-FS-ABCT) for ABCT to support this study.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryPublisher permissionen_US
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