Teaching and Learning with AI - University of Houston
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Education Innovation & Technology

EIT Presents: Teaching and Learning with AI

A free conference at the University of Houston

Friday, February 28, 2025

Save the date for 2025 EIT PRESENTS: Teaching and Learning with AI

We are excited to announce the second UH “EIT Presents,” which will be held on February 28, 2025, at Stephen Power Farish Hall. More details will be shared soon.

View the presentations from 2024

Registration is now open. You can view the full schedule below.

Register to Attend

 

Directions to the Stephen Power Farish Hall

Navigate to the University of Houston Welcome Center Garage, 4400 University Dr. The garage entrance is on Martin Luther King Blvd. In the garage, follow signs to level 3 visitor parking.

Once parked, walk starting from the point labelled "A"  to the venue entrance, Farish Hall, labelled "B" on the map. The Kiva Room is on the 1st floor.

Event Schedule

Time
Farish Hall Kiva Room
Room 211
Room 307
7:45 a.m. - 8:30 a.m.
Check-in / Coffee, tea, etc, light breakfast
8:30 a.m. - 8:45 a.m.
Welcome
9:00 a.m. - 9:30 a.m.
Session 1
C. Morosan, T. Johnson - The Professor and the AI: Redefining Roles in Advanced Learning
N. Onwuama, A. Arias-Rodriguez - Empowering Student Success: Using AI to Transform Personal Learning Experiences Through Caring
M. Estrada - Experiential Research through AI to Enhance Learning Dance History
9:40 a.m. - 10:10 a.m.
Session 2
L. Rodwell - Teaching Students Conversation Design for Artificial Intelligence
M. Tejada-Simon - Leveraging GPTs to Improve Personalized Learning in Large Classrooms
J. Kovach, A. Chatterjee - Piloting On-Demand AI Tutoring Using ‘Tailored Tutor’ in Applied Thermodynamics
10:20 a.m. - 10:50 a.m.
Session 3
S. Tirunillai - AI-Enhanced Instructional Tools for Digital Marketing Analytics
J. Ekeoba - Deflating the Hype: Normalizing AI Use in Higher Ed to Empower Teaching, Learning & Research Methods
K. Kim - AI-Powered Building Information Modeling as an Interactive Learning Platform
11:00 a.m. - 11:50 a.m.
Keynote/Session 4
Sid Dobrin - Generative Artificial Intelligence and Higher Education
12:00 p.m. - 1:00 p.m.
Lunch/Session 5
S. Gronseth, A. Itani, M. Lopez - Escape from the Doctor's Office: An AI-Focused Educational Escape Room in Healthcare
M. Kraten - Employing A.I. Platforms To Create Virtual Tutor Avatars Who Are Customized To “Fit” The Unique Learning Styles Of Each Student
R. Brownell - Leveraging Generative AI to Evaluate Student Reflections and Improve Teaching Effectiveness
1:10 p.m. - 1:40 p.m.
Session 6
H. Malki - Use of AWS and Nvidia Resources in Teaching Neural Networks and Machine Learning
E. Felvegi, M. Termezy - Leveraging Generative AI with Renewable Assignments
M. Lee, A. DeFranco - AI-powered Hospitality Business Analytics for Prediction and Decision Making
1:50 p.m. - 2:20 p.m.
Session 7
L. Harrison, A. Elliott - AI as a Partner in Clinical Education: From Care Plans to Patient Simulations
M. Ahlf, S. McNeil - Scenarios in Ethical Approaches to Generative AI in Higher Education
J. Lee, Y. Liu - From Research to Action: Presenting Structured, Inclusive, and Reflective Learning Environments
2:30 p.m. - 3:00 p.m.
Session 8
A. Kelly - The Use of Artificial Intelligence in Making Long Letters Short and Swirling Ideas into Organized Thoughts
S. Chung - Transforming Critical Visual Culture Education Through AI-Powered Hybrid Learning

Keynote Speaker

Headshot of Sid Dobrin

Professor Sid Dobrin

Sid Dobrin, Chair of the University of Florida’s English department, has become one of the world’s most sought-after academic experts on Generative AI, having delivered more than 70 talks worldwide. He is the Founding Director of the Trace Innovation Initiative at UF and has been named a Digital Thought Leader by Adobe. He serves as a member of the Florida Institute for National Security, part of the University of Florida’s AI Initiative, and he serves on the Steering Committee of the Florida AI Learning Consortium (FALCON). He is the author and editor of numerous books and articles, including Talking about Generative AI: A Guide for Educators, AI and Writing, and the forthcoming collection AI and the Humanities. His current research project examines enduring questions motivated by AI. In addition to his work in Digital Humanities, he is prolific in writing about Environmental Humanities, specifically focused on Blue Ecocriticism and Blue Humanities.