Renzhe Yu
Columbia University(US)
Publications by Year
Research Areas
Online Learning and Analytics, Online and Blended Learning, Topic Modeling, Innovative Teaching and Learning Methods, Intelligent Tutoring Systems and Adaptive Learning
Most-Cited Works
- → Mining Big Data in Education: Affordances and Challenges(2020)383 cited
- → The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes(2020)95 cited
- → Should College Dropout Prediction Models Include Protected Attributes?(2021)84 cited
- Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data.(2020)
- → The life cycle of large language models in education: A framework for understanding sources of bias(2024)65 cited
- Understanding Student Procrastination via Mixture Models.(2018)
- → Intelligent load pattern modeling and denoising using improved variational mode decomposition for various calendar periods(2019)38 cited
- → Risk and Protective Factors of College Students’ Psychological Well-Being During the COVID-19 Pandemic: Emotional Stability, Mental Health, and Household Resources(2022)28 cited
- → Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success(2020)23 cited
- → Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses(2019)20 cited