Conference Structure & Learning Outcomes
What to expect during the 2024 UT System Conference
Get ready to dive into an exhilarating experience at the 2024 UT System Conference: Innovating Teaching & Learning in the Era of Generative AI!
Below, you’ll find a breakdown of what to expect during the conference, including types of sessions, learning tracks and outcomes. Get ready to be inspired and equipped with invaluable insights to enhance student success in an AI-integrated world.
Conference sessions were crafted by our colleagues across the UT System. Proposals were reviewed by a subcommittee of the UT System Conference planning group, including representatives from each institution in the UT System.
Speaker Instructions
- For presenters who are using their own computers, a variety of common cord adapters will be available, but please bring any cords or special equipment you need.
- For presenters who are using a conference-provided computer, please find a UT San Antonio staffer in a conference t-shirt to help you set up at least 10 minutes prior to your presentation in your designated session room.
- Presenters and all attendees can access free Wi-Fi on the conference site. Learn more under "Wifi" on the Conference FAQ page.
Learning Outcomes
After the conference, you’ll have the skills and knowledge to:
- Apply insights on Generative AI in education into current and future teaching and learning activities.
- Engage in your campus community with literacy related to key Generative AI limitations and opportunities.
- Connect with colleagues UT system-wide to support the ethical and responsible use of Generative AI in higher education.
- Support student success by fostering mastery-orientations to learning with Generative AI.
- Pose teaching, research and technology adoption questions related to Generative AI.
- Assess your institution’s organizational and leadership readiness to engage in Generative AI initiatives.
- Acknowledge contributions from academic leaders, staff, student success, and the faculty community of the UT System.
Conference Session Types and Descriptions
You are encouraged to follow your curiosity during the 2024 UT System Conference: Innovating Teaching & Learning in the Era of Generative AI! Feel free to follow an unconference model – attend the sessions you like, pop-in, pop-out and make the most of your time at UT San Antonio! Here are the types of sessions you can expect during the conference:
Traditional Presentation
1-2 presenters on a single topic/project with time for Q&A.
Traditional Panel
2+ presenters on related topics/projects with time for Q&A.
Rapid-Fire Panel
2+ panelists that provide a brief overview of a topic and then answer as many questions as possible in the session.
Hands-On Workshop
1+ facilitators engaging participants in problem solving, planning or similar.
Fishbowl
1+ facilitator engaging participants in reflective discussion on a focused topic.
Conference Tracks
Track 1: Teaching and Learning with Generative AI
In these sessions, attendees will be able to:
- Explore ways to enhance teaching and learning in higher education using Generative AI.
- Acquire practical skills in integrating Generative AI into the curriculum.
- Develop literacy in different Generative AI tools in use in education.
- Gain awareness of the key limitations of Generative AI (misalignment, hallucinations, bias, privacy concerns).
- Explore course designs that integrate learning outcomes and activities that require students to use Generative AI.
Track 2: Ethical Considerations Using Generative AI
In these sessions, attendees will be able to:
- Understand that ethical frameworks are available to guide the use of Generative AI in teaching and learning.
- Analyze real-world case studies to navigate ethical challenges and discover solutions.
Track 3: Student Support and Success
In these sessions, attendees will be able to:
- Explore practical applications of Generative AI for personalized student support, understanding its ethical implications.
- Acquire hands-on experience through workshops, implementing Generative AI tools to enhance student engagement and outcomes.
- Identify methods for helping students gain self-efficacy in the effective and responsible use of Generative AI in their learning.
Track 4: Advanced Topics in Generative AI
In these sessions, attendees will be able to:
- Dive into advanced developments and research in applying Generative AI in higher education.
- Gain insights on different disciplinary viewpoints on Generative AI.
Track 5: Leadership and Organizational Strategies
In these sessions, attendees will be able to:
- Gain insights from different institutions about their strategies around Generative AI integration for teaching, learning, research, and daily operations.
- Explore governance and policy approaches for supporting Generative AI use in UT System Schools.
- Collaborations with Information Technology, Legal, and Information Security Offices.
