Chen Zhan

According to our database, Chen Zhan authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Preserving Both Privacy and Utility in Learning Analytics.

Chen Zhan, Srecko Joksimovic, Djazia Ladjal, Thierry Rakotoarivelo, Ruth Marshall, Abelardo Pardo

IEEE Trans. Learn. Technol., 2024

When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models.

Oscar Blessed Deho, Lin Liu, Jiuyong Li, Jixue Liu, Chen Zhan, Srecko Joksimovic

IEEE Trans. Learn. Technol., 2024

2023

Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why.

Oscar Blessed Deho, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu, Lin Liu

IEEE Trans. Learn. Technol., August, 2023

Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution.

Oscar Blessed Deho, Srecko Joksimovic, Lin Liu, Jiuyong Li, Chen Zhan, Jixue Liu

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

2022

Technological frameworks on ethical and trustworthy learning analytics.

Djazia Ladjal, Srecko Joksimovic, Thierry Rakotoarivelo, Chen Zhan

Br. J. Educ. Technol., 2022

How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?

Oscar Blessed Deho, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le

Br. J. Educ. Technol., 2022

Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models.

Oscar Blessed Deho, Lin Liu, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu

Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

2020

Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

J. Biomed. Informatics, 2020

Detecting potential signals of adverse drug events from prescription data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

Artif. Intell. Medicine, 2020

2018

A data-driven method to detect adverse drug events from prescription data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

J. Biomed. Informatics, 2018

An Annulus Local Search Based Localization (ALSL) Algorithm in Indoor Wi-Fi Environments.

Hao Zhang, Kai Liu, Feiyu Jin, Chao Chen, Chen Zhan, Jianjun Li, Liang Feng

Proceedings of the 2018 IEEE SmartWorld, 2018