Equity, Agency and Mastery
Enabling the Next Generation of Student Success

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Wednesday, May 20 • 4:15pm - 5:00pm
Data-informed Learning Analytics Framework for STEM Student Success

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In this session, we will present a data-informed framework we developed to help students retain and succeed in STEM (Science, Technology, Engineering and Mathematics) programs. In particular, we will describe our methods for identifying 'at risk' undergraduate students in required core curricula courses and evaluating the impact of a special treatment program that was provided to a subset of those students. We will discuss an early 'boosting' effort to help this population of students who were not thriving and evaluate the short- and long-term impacts of these treatments. Additionally, we will present an inclusive learning visualization dashboard which assists instructors in improving their assessment design and also aids administrators in evaluating the impact of any special treatment programs offered students with actionable insights.


Paul Turner

Director of Teaching and Learning Technologies, University of Notre Dame

Xiaojing Duan

Learning Platforms and Analytics Architect, University of Notre Dame

Kevin Abbott

Educational Technology Specialist, University of Notre Dame

Alex Ambrose

Director of Learning Research, University of Notre Dame

Wednesday May 20, 2020 4:15pm - 5:00pm MDT