1. Assessing the fairness of graduation predictions;Anderson,2019
2. Algorithmic bias in education;Baker;International Journal of Artificial Intelligence in Education,2021
3. Early detection of students at risk – predicting student dropouts using administrative student data and machine learning methods;Berens;SSRN Electronic Journal,2018
4. Do the machine learning models on a crowd sourced platform exhibit bias? An empirical study on model fairness;Biswas,2020
5. Virtual learning environment engagement and learning outcomes at a “bricks-and-mortar” university;Boulton;Computers & Education,2018