A sub-national economic complexity analysis of Australia’s states and territories C Reynolds, M Agrawal, I Lee, C Zhan, J Li, P Taylor, T Mares, J Morison, ... Regional Studies 52 (5), 715-726, 2018 | 92 | 2018 |
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? OB Deho, C Zhan, J Li, J Liu, L Liu, T Duy Le British Journal of Educational Technology 53 (4), 822-843, 2022 | 67 | 2022 |
Should learning analytics models include sensitive attributes? Explaining the why OB Deho, S Joksimovic, J Li, C Zhan, J Liu, L Liu IEEE Transactions on Learning Technologies 16 (4), 560-572, 2022 | 25 | 2022 |
Detecting potential signals of adverse drug events from prescription data C Zhan, E Roughead, L Liu, N Pratt, J Li Artificial intelligence in medicine 104, 101839, 2020 | 20 | 2020 |
Privacy-driven learning analytics S Joksimović, R Marshall, T Rakotoarivelo, D Ladjal, C Zhan, A Pardo Manage your own learning analytics: Implement a Rasch modelling approach, 1-22, 2021 | 19 | 2021 |
A data-driven method to detect adverse drug events from prescription data C Zhan, E Roughead, L Liu, N Pratt, J Li Journal of Biomedical Informatics 85, 10-20, 2018 | 16 | 2018 |
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data C Zhan, E Roughead, L Liu, N Pratt, J Li Journal of Biomedical Informatics 112, 103603, 2020 | 12 | 2020 |
Synthetic data generator for student data serving learning analytics: A comparative study C Zhan, OB Deho, X Zhang, S Joksimovic, M de Laat Learning Letters 1, 5-5, 2023 | 9 | 2023 |
Assessing the causal impact of online instruction due to covid-19 on students’ grades and its aftermath on grade prediction models OB Deho, L Liu, S Joksimovic, J Li, C Zhan, J Liu Proceedings of the 2022 ACM Conference on Information Technology for Social …, 2022 | 8 | 2022 |
Technological frameworks on ethical and trustworthy learning analytics. D Ladjal, S Joksimović, T Rakotoarivelo, C Zhan British Journal of Educational Technology 53 (4), 2022 | 8 | 2022 |
When the past!= the future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models OB Deho, L Liu, J Li, J Liu, C Zhan, S Joksimovic IEEE Transactions on Learning Technologies 17, 1007-1020, 2024 | 7 | 2024 |
Assessing the fairness of course success prediction models in the face of (un) equal demographic group distribution OB Deho, S Joksimovic, L Liu, J Li, C Zhan, J Liu Proceedings of the Tenth ACM Conference on Learning@ Scale, 48-58, 2023 | 6 | 2023 |
Preserving Both Privacy and Utility in Learning Analytics C Zhan, S Joksimovi, D Ladjal, T Rakotoarivelo, R Marshall, A Pardo IEEE transactions on learning technologies, 2024 | 3 | 2024 |
Towards Trusted Learning Analytics S Joksimović, D Ladjal, C Zhan, T Rakotoarivelo, A Li Companion Proceedings of the 12th, 160, 2022 | | 2022 |