, Digital Tool
, Learning Analytics
Student Explorer is an early warning system that leverages Learning Management System data to help academic advisors identify at-risk students. A design-based implementation research project through the LED Lab led by Professor Stephanie Teasley and Dr. Steven Lonn, Student Explorer uses learning analytics techniques to create actionable intelligence that assists academic advisors in identifying students at risk of academic jeopardy in order to facilitate outreach to these students. The tool helps advisors create timely interventions to direct students toward resources or behavioral changes that help facilitate future student success.