From Prediction to Persuasion: Leveraging Explainable AI for Actionable Student Recourse

Wednesday, September 30, 2026 | 2:15PM–2:45PM MT
Session Type: Breakout Session
Delivery Format: Presentation
Predicting student dropout is only half the battle; the real challenge is transforming cold data into persuasive, actionable advice that students can actually follow. This session explores how institutions can use explainable AI (XAI) and feature attribution to generate personalized "recourse" messages that move beyond identifying risk to empowering students with specific steps toward academic success.

Presenters

  • Samuel Addington

    Lecturer, California State University, Long Beach