Course Description:
In this session, we will look at the goldmine of data already sitting inside your Moodle site and discover how to turn it into a crystal ball for student success. While many institutions use "Learning Analytics" to look at what has already happened, we will explore how Predictive AI can identify at-risk students weeks before they fall behind.
We will walk through a real-world framework for building a predictive model—from selecting the right data points (participation pattern, online assessment, and submission patterns) to the ethical implementation of automated interventions. Participants will leave with a clear roadmap on how to move from "passive reporting" to "proactive teaching" without needing a PhD in Data Science. This is not about a specific tool; it’s about a new strategy for student retention in the age of AI.
Date & Time: June 18, 2026 | 9:10 AM - 10:30 AM