Wei Dai
Wei Dai
PhD Candidate, Centre for Learning Analytics (CoLAM), Monash University
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Can large language models provide feedback to students? A case study on ChatGPT
W Dai, J Lin, H Jin, T Li, YS Tsai, D Gašević, G Chen
2023 IEEE International Conference on Advanced Learning Technologies (ICALT …, 2023
Conditional restricted Boltzmann machine for item recommendation
Z Chen, W Ma, W Dai, W Pan, Z Ming
Neurocomputing 385, 269-277, 2020
Transfer to rank for Top-N recommendation
W Dai, Q Zhang, W Pan, Z Ming
IEEE Transactions on Big Data 6 (4), 770-779, 2019
Learner-centred analytics of feedback content in higher education
J Lin, W Dai, LA Lim, YS Tsai, RF Mello, H Khosravi, D Gasevic, G Chen
LAK23: 13th International Learning Analytics and Knowledge Conference, 100-110, 2023
Holistic Transfer to Rank for Top-N Recommendation
W Ma, X Liao, W Dai, W Pan, Z Ming
ACM Transactions on Interactive Intelligent Systems (TiiS) 11 (1), 1-1, 2021
Measuring inconsistency in written feedback: A case study in politeness
W Dai, YS Tsai, Y Fan, D Gašević, G Chen
International Conference on Artificial Intelligence in Education, 560-566, 2022
Context-Aware Collaborative Ranking
W Dai, W Pan, Z Ming
Information Retrieval Technology: 15th Asia Information Retrieval Societies …, 2020
PAT: Preference-aware transfer learning for recommendation with heterogeneous feedback
F Liang, W Dai, Y Huang, W Pan, Z Ming
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education
Y Li, M Raković, W Dai, J Lin, H Khosravi, K Galbraith, K Lyons, D Gašević, ...
Computers and Education: Artificial Intelligence 5, 100157, 2023
Assessing the Proficiency of Large Language Models in Automatic Feedback Generation: An Evaluation Study
W Daia, YS Tsaia, J Linb, A Aldinoa, H Jina, T Lia, D Gaševica, G Chena
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