Lessons from debiasing data for fair and accurate predictive modeling in education

Author:

Sha LeleORCID,Gašević DraganORCID,Chen GuanliangORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference67 articles.

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3. Educational data mining applications and tasks: A survey of the last 10 years;Bakhshinategh;Education and Information Technologies,2018

4. Borrella, I., Caballero-Caballero, S., & Ponce-Cueto, E. (2019). Predict and intervene: Addressing the dropout problem in a MOOC-based program. In Proceedings of the sixth (2019) ACM conference on learning @scale (pp. 1–9).

5. Taking action to reduce dropout in MOOCs: Tested interventions;Borrella;Computers & Education,2021

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