Tracks course enrollments daily and flags full or nearly full courses for deans, chairs, and faculty.
As an administrator at my college, we don't know which courses are full or close to filling up unless we manually search daily or weekly. By the time we catch it, students are already locked out. I want to spot these issues early so I can talk to the department chair about raising the cap or opening a new section. But right now, we're always playing catch-up.
Every morning at 8 a.m., our system sends a simple email with the latest course enrollment updates. No logins, no dashboardsβjust the key info you need in plain text.
You'll see which courses are already full and which ones are closeβso you can take action before students get locked out. Raise a course cap, open a new section, create a waitlist, or coordinate with faculty and advisors. Instead of spending hours checking course data, you can respond quickly and plan ahead.
It's one small email that makes a big difference.
The system automatically pulls the latest enrollment numbers from the university schedule while you sleep. No need to check anything manually.
In addition to traditional table filtering, sorting, and search functions, we've integrated a locally installed AI API that lets you simply talk to the course data. Instead of learning complex filtering techniques, just ask what you need in natural language.
Pick the courses, departments, or colleges you want to keep an eye on. The system watches for changes and does the checking for you.
Each day at 8 a.m., get a clear email showing which courses are full or close to full, with notes on what you might want to do next.
Phase 2: Student Features - Student waiting list notifications, alerts when required courses become available, help students register for the best courses, and show how course choices affect graduation timing.
Phase 3: Better Predictions - Predict how full courses will get, machine learning to forecast enrollment, suggest courses to students, and track student success patterns.
Phase 4: More Automation - Connect directly to university systems, automatically adjust course capacity, help schedule faculty better, and automate resource decisions.
Phase 5: Multiple Universities - Support multiple universities, compare data across schools, and share best practices.
Project Founder
Professor of Education at the University of South Florida with a doctorate from Florida State University. Passionate about using technology to make learning more engaging and effective, with research focused on developing educational applications and exploring AI use in education.