Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/121757
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dc.contributorDepartment of Applied Mathematics-
dc.contributorDepartment of Computing-
dc.contributorDepartment of Data Science and Artificial Intelligence-
dc.creatorLeung, MK-
dc.creatorFung, SLW-
dc.creatoriao, W-
dc.creatorTorcuk, Y-
dc.date.accessioned2026-10-09T08:03:35Z-
dc.date.available2026-10-09T08:03:35Z-
dc.identifier.urihttp://hdl.handle.net/10397/121757-
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.subjectAssessmenten_US
dc.subjectAutomated gradingen_US
dc.subjectGenAIen_US
dc.subjectReflective writingen_US
dc.titleComparing Generative AI and human grading of undergraduate students’ personal development plansen_US
dc.typeConference Paperen_US
dc.identifier.spage233-
dc.identifier.epage239-
dcterms.abstractThe use of Generative AI (GenAI) in assignment grading has brought convenience to teachers but remains controversial due to concerns regarding its accuracy and consistency in providing nuanced grades and feedback. This study compares the scores of Personal Development Plans from 50 students in a Freshman Seminar course, with each plan graded by three human graders and three AI graders. Through quantitative and qualitative analyses, we examine the grading patterns of different GenAI models and evaluate the feasibility of AI-assisted grading.-
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. 233-239. 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-n14en_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryPublisher permissionen_US
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