Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/121757
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Title: Comparing Generative AI and human grading of undergraduate students’ personal development plans
Authors: Leung, MK 
Fung, SLW 
iao, W 
Torcuk, Y
Issue Date: 2026
Source: 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. 233-239. Hong Kong : Educational Development Centre, Hong Kong Polytechnic University, 2026
Abstract: The 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.
Keywords: Assessment
Automated grading
GenAI
Reflective writing
Description: International Conference on GenAI and Pedagogical Innovations (GaPI), Hong Kong, 20-22 May 2026
Rights: Copyright © 2026
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.
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Appears in Collections:Conference Paper

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