LPO 7240 / Spring 2027
Machine Learning in Education
Predictive modeling through educational applications.
Conrad Borchers, Vanderbilt University. Software: R or Python.
Overview
Develop a reproducible modeling workflow, compare methods, and explain what the results support. The course covers regularization, support vector machines, trees and ensembles, neural networks, and uncertainty.
Course work
Applied problem sets and a semester project connect model evaluation to an educational question. Brightspace holds announcements, submissions, grades, and feedback.