Renzhe Yu

Mining Big Data in Education: Affordances and Challenges

Christian Fischer, Zachary A. Pardos, Ryan S. Baker et al. · Review of Research in Education · 2020 · 379 citations · Full text

Engineering, Data Science, Informed Decision Making +11

The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes

Rachel Baker, Di Xu, Jihyun Park et al. · International Journal of Educational Technology in Higher Education · 2020 · 93 citations · Full text

E-learning, Educational Psychology, Education +18

Should College Dropout Prediction Models Include Protected Attributes?

Renzhe Yu, Hansol Lee, René F. Kizilcec · 2021 · 83 citations · Full text

Student Outcome, Student Retention, Engineering +14

Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data.

Renzhe Yu, Qiujie Li, Christian Fischer et al. · Educational Data Mining · 2020 · 69 citations

Fair Prediction, Higher Education, Secondary Education +9

Understanding Student Procrastination via Mixture Models.

Jihyun Park, Renzhe Yu, Fernando Rodriguez et al. · Educational Data Mining · 2018 · 62 citations

Student Motivation, Student Learning, Learning Sciences +4