Teaching and Learning with AI Conference

Preparing for a new course is a challenging endeavor that all students must undertake multiple times during their academic careers. How can AI help students prepare better before the course starts? The ‘Master Student Advisor’ leverages the students’ key information and AI to present a personalized plan for each specific course, that includes: strengths and gaps analysis, study strategies, networking opportunities, suggested additional resources, practical applications for the student’s career, etc., tailored to the student’s and professor´s profile, and the course’s needs. This session includes results from pilots applied in a Triple-Crown business school.

How can faculty move beyond simple prompts to a reproducible, AI-assisted course design process? This session demonstrates a comprehensive workflow using meta-prompting, Deep Research, Google NotebookLM, & AI Agents to augment faculty expertise.  Guided by backwards design principles, attendees will learn to create reproducible, "building blocks" using GenAI to refine course objectives, develop authentic assessments, and tailor learning materials/activities. Whether faculty are refreshing an assignment, building syllabi, or redesigning a course, this workflow offers an AI-assisted path prioritizing the faculty member’s voice and pedagogy.  Participants will leave with a framework for scaling their course design efforts without sacrificing instructional integrity.

The purpose of this presentation is to share with other institutions the successes and challenges of developing an AI training module for faculty consumption. The College of Innovation and Design at East Texas A&M University offers all online asynchronous instruction with many part-time instructors from many fields. Within our learning management system, we have developed lessons specifically for faculty around generative AI. This includes topics, such as, What is Gen AI? How does Gen AI work? And most importantly, how to talk to students about the improper use of Gen AI. There is also a section on how to recognize Gen AI, as well as guidelines faculty can use in their courses.

When AI reshapes how we teach and learn, institutions don't just face technical transitions, they face human ones. Drawing on grief theory, change management research, and real-world implementation experience from the University of Florida, this session offers faculty, instructional designers, and administrators a practical framework for navigating the human side of technological evolution. Presenters will explore acknowledgment, community, and agency as antidotes to resistance and uncertainty, leaving attendees with actionable strategies to lead their institutions through technological evolution with empathy and purpose.