Using In-Class Student Behaviour Data to Inform Predictive Analytics

Event Date & Time

Event Description

Student behaviour during class is being monitored at the University of Michigan using the Echo360 Active Learning Platform. This presentation discusses how these data are combined with data from other on-campus and off-campus sources and mined to develop models for predicting student success based on a student’s background and behaviours during class.  The goal is to provide instructors with evidence-based guidance on how to identify students at risk early in a semester.

Bio:

Perry Samson is an Arthur F. Thurnau Professor in the Department of Climate and Space Sciences and Engineering. His Extreme Weather course has been cited by the New York Times as one of ten “Courses with a Twist” in the United States. Prof. Samson is also an entrepreneur as co-founder of LectureTools, written in part while Perry was on sabbatical at UBC, which now provides active learning tools to over three million students worldwide as part of the Echo360 Inc. Active Learning Platform.

Presented by CTLT and Skylight.