Enhancing Student Modeling for Collaborative Intelligent Tutoring Systems

摘要

This paper presents an extension of the Additive Factors Model to predict learning for students by accounting for aspects of collaboration. The results indicate that student performance is predicted more accurately when the model includes parameters that capture influences of working collaboratively.