| 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 | 88 | 2023 |
| Conditional restricted Boltzmann machine for item recommendation Z Chen, W Ma, W Dai, W Pan, Z Ming Neurocomputing 385, 269-277, 2020 | 15 | 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 | 6 | 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 | 5 | 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 | 3 | 2021 |
| Context-Aware Collaborative Ranking W Dai, W Pan, Z Ming Information Retrieval Technology: 15th Asia Information Retrieval Societies …, 2020 | 3 | 2020 |
| 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 | 2 | 2022 |
| 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 | 1 | 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 | | 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 OSF, 0 | | |
