45 citations · 200 across the 10 of their papers we have counts for
3 papers · 2 filters
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…
Holistic framework to help students learn effectively from research-validated self-paced learning tools
Emily Marshman, Seth DeVore, Chandralekha Singh
With limited time available in the classroom, e-learning tools can supplement in-class learning by providing opportunities for students to study and learn outside of class. Such to…
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…