Turn student reflection into real-time insight.

Accreditors are asking for stronger evidence of student learning. Institutions are working to improve retention. Most campuses lack the timely, authentic data needed to do either well.

This webinar introduces a different approach.

Learn how structured, conversational AI–guided reflection generates continuous, actionable insight into student learning and persistence, without adding new reporting burdens.

What You'll Gain

Insight & Understanding

Why institutions struggle with real-time learning capture
How structured reflection creates actionable evidence
How the TORI framework enables measurable reflection

Application & Tools

AI vs. traditional reflection (real examples)
Conversational AI for continuous learning evidence
Cohort-level insights from reflection data
Early signals for student persistence and intervention

Learn from Practice, Not Theory

Rebecca Thomas of Bucknell University and Jeffrey Yan of Digication share classroom-based findings and institutional implications.

Drawing on TORI, the Taxonomy of Reflective Inquiry, they show how ongoing, AI-supported dialogue captures longitudinal evidence of learning as it happens, while strengthening student engagement.

Why This Matters Now

Institutions are under increasing pressure to demonstrate impact and improve outcomes. Approaches that rely on retrospective data are no longer sufficient.

This session highlights a scalable strategy that aligns teaching practice with institutional needs for meaningful, timely evidence.