Presentations
All breakout sessions by day, time, and room. Select a session to read its abstract, learning objectives, and presenter details.
Conference Tracks
Every breakout session belongs to one of six tracks. Each card below is labeled with its track so you can build a schedule around the topics that matter most to your program.
Student Learning & AI
Course-level teaching practices that bring artificial intelligence into the business classroom: assignment design, AI literacy, ethics, and frameworks for using AI with students.
Student Learning
Teaching and curriculum practices that strengthen learning in business programs, including instruction for non-traditional students and settings.
Student Success
Career readiness, retention, experiential learning, and the support structures that help business students persist, graduate, and get hired.
AI Utilization
Applied uses of AI tools and data by faculty and institutions, from analytics that predict student outcomes to AI software in day-to-day academic work.
Faculty Learning & AI
Faculty development for the AI era: building competency, professional growth pathways, and a culture where instructors can experiment safely.
Accreditation & Assessment
Meeting and using ACBSP standards well, including assessment design, field testing, and moving from compliance to continuous improvement.
Thursday
Presentations | September 17th
2:00 pm
2:40 pm
3:20 pm
Friday
Presentations | September 18th
10:15 am
12:10 pm
All sessions are held in the Royce Brown Building. Room assignments and times are subject to change.