1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.ed-ph2020
Using Machine Learning to Identify the Most At-Risk Students in Physics Classes
Jie Yang, Seth DeVore, Dona Hewagallage +3
Machine learning algorithms have recently been used to predict students' performance in an introductory physics class. The prediction model classified students as those likely to r…
physics.ed-ph2020★ 1 cited
Extending Machine Learning to Predict Unbalanced Physics Course Outcomes
Seth DeVore, Jie Yang, John Stewart
Machine learning algorithms have recently been used to classify students as those likely to receive an A or B or students likely to receive a C, D, or F in a physics class. The per…