Követés
Chen Zhan
Chen Zhan
Bioinformatician / Research Fellow, University of Melbourne
E-mail megerősítve itt: unimelb.edu.au
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
922018
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
672022
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
252022
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
202020
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
192021
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
162018
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
122020
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
92023
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
82022
Technological frameworks on ethical and trustworthy learning analytics.
D Ladjal, S Joksimović, T Rakotoarivelo, C Zhan
British Journal of Educational Technology 53 (4), 2022
82022
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
72024
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
62023
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
32024
Towards Trusted Learning Analytics
S Joksimović, D Ladjal, C Zhan, T Rakotoarivelo, A Li
Companion Proceedings of the 12th, 160, 2022
2022
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