The USF College of Education is establishing an AI Advisory Board comprising district technology leaders from Pinellas, Pasco, and Sarasota counties, alongside industry experts from Google, Microsoft, and OpenAI. This collaborative board is dedicated to supporting both preservice and inservice teachers in implementing AI tools effectively, responsibly, and with clear educational purpose.

This research group brings together faculty and scholars from the USF College of Education to investigate how artificial intelligence is transforming teaching and learning. The group provides a collaborative platform for sharing innovative ideas, developing research projects, and examining evidence-based approaches for integrating AI into classroom practices.

AI-powered course monitoring system that tracks course enrollments daily and flags full or nearly full courses for deans, chairs, and faculty. The system provides automatic daily course data updates, plain English AI search capabilities, daily alerts on subscribed courses, and historical enrollment comparisons. Instead of manually checking course data, administrators get morning emails with actionable insights about which courses need attention—helping them respond quickly before students get locked out.

Where and when do we lose students during the course? Is there a pattern for student dropout when looking at past courses, and can we identify the patterns and figure out a way for on-time intervention and stronger retention? This tool connects to Canvas and reviews years of course data in real time. It flags early signs of trouble and predicts dropout risk. Based on these patterns, during active courses, instructors and students get alerts as issues come up and can automatically notify students and faculty by email.