Scaling Cognitive Modeling in Digital Education
Cognitive models of skill acquisition have been a successful measurement device in Intelligent Tutoring Systems (ITS) to determine when a student has reached mastery. I will overview model extensions that have incorporated individual learner differences as well as effects of individual resource and resource ordering on skill acquisition. Incorporation of student affect detectors into the model will also be touched on. Current and future work discussed will include application of cognitive models to Massive Open Online Courses (MOOCs) and expanding the impact of learning analytics through a reproducible research platform for education.
Zachary Pardos is an assistant professor in both the School of Information and the Graduate School of Education. His interests include educational data mining, learning analytics, and formative assessment.