A Practical Guide to a New Era of Human Learning
UTA welcomes José Antonio Bowen and C. Edward Watson, authors of Teaching with AI: A Practical Guide to a New Era of Human Learning, for an exclusive two-day event. Join us for insightful sessions on embracing AI in education and preparing students for the future.

This event is limited to UTA-affiliated registrants only.
Day 1: Wednesday, November 19th
Embracing AI as Essential Learning: Preparing Students for Life Beyond College
Generative AI tools have had an astonishingly quick impact on the ways we learn, work, think, and create. While higher education’s initial response was to develop strategies to diminish AI’s influence in the classroom, it is now clear that AI competencies and literacies must be embraced as essential learning for most colleges and universities. These responses and realities create a challenging tension that higher education must work to resolve. Drawing from the new, second edition of the book, Teaching with AI: A Practical Guide to a New Era of Human Learning (Johns Hopkins University Press, 2025), Dr. C. Edward Watson will detail the challenges and opportunities that have emerged for higher education, especially in terms of pedagogical practice and student learning. The core focus of this keynote will be on concrete approaches and strategies higher education can adopt, both within the classroom and across larger curricular structures, to best prepare students for the life that awaits them after graduation. It will also detail the pedagogical possibilities regarding how AI can have a positive impact on student learning.
Time: 1:30 pm – 3:00 pm
Location: Trinity Hall, Room 104 or Teams (Hybrid)
Presenter: C. Edward Watson
Day 2: Thursday, November 20th
Simulations, Custom Bots and New Assignments for Learning in the AI Era
All assignments are now AI Assignments. In the same way that the ease of finding information on the internet forced faculty to rethink what homework students did and how we wanted them to do it, we will all need an AI strategy for assignments. Since most work will soon be AI-assisted work, we can help prepare students for the jobs of the future with assignments that require or suggest that students use AI to assist in completing them. We will learn how to create and use custom bots and through a wide diversity of examples, explore how we can redesign to reduce cheating and raise standards.
Time: 10:00 am – 12:00 pm
Location: Trinity Hall, Room 104 or Teams (Hybrid)
Presenter: José Antonio Bowen
Space is limited for in-person attendance. Register early to secure your spot!
Special Offer: 30% Off the Book
Get 30% off the second edition of Teaching with AI at Johns Hopkins University Press.
Discount Code: HTAI25
Event Host
Hosted by the Office of the Provost – Academic Affairs, University Analytics, Division of Faculty Success and CRTLE
We look forward to seeing you at this transformative event as we explore the intersection of AI and education!
Presenter Bios
C. Edward Watson, Ph.D., is the Vice President for Digital Innovation at the American Association of Colleges and Universities (AAC&U). He is also the founding director of AAC&U’s Institute on AI, Pedagogy, and the Curriculum. Prior to joining AAC&U, Dr. Watson was the Director of the Center for Teaching and Learning at the University of Georgia (UGA) where he led university efforts associated with faculty development, TA development, learning technologies, and the Scholarship of Teaching and Learning. He continues to serve as a Fellow in the Louise McBee Institute of Higher Education at UGA and recently stepped down after more than a decade as the Executive Editor of the International Journal of Teaching and Learning in Higher Education. His most recent publications are Teaching with AI: A Practical Guide to a New Era of Human Learning (Johns Hopkins University Press, 2024), Leading Through Disruption: Higher Education Executives Assess AI’s Impacts on Teaching and Learning (AAC&U, 2025), and the Student Guide to AI (Elon University & AAC&U, 2025). Dr. Watson been quoted in the New York Times, Chronicle of Higher Education, Inside Higher Ed, Campus Technology, EdSurge, Newsweek, U.S. News, EdTech, Consumer Reports, UK Financial Times, and University Business Magazine and by the AP, CNN and NPR regarding current teaching and learning issues and trends in higher education.
José Antonio Bowen has won teaching awards at Stanford and Georgetown, was Dean at Miami and Southern Methodist University and President of Goucher College. He has written over 100 scholarly articles and has appeared as a musician with Stan Getz, Bobby McFerrin, and others. He is the author of Teaching Naked (2012, the winner of the Ness Award for Best Book on Higher Education), Teaching Change: How to Develop Independent Thinkers using Relationships, Resilience and Reflection (2021) and Teaching with AI: A Practical Guide to a New Era of Human Learning with C. Edward Watson (2024; 2nd edn 2026). Stanford honored him as a Distinguished Alumni Scholar (2010) and he has presented more than 500 keynotes and workshops in 47 states and 24 countries around the world. In 2018, he was awarded the Ernest L. Boyer Award (for significant contributions to American higher education). He is now a senior fellow for the American Association of Colleges and Universities and also does innovation and inclusion consulting for a wide variety of Fortune 500 companies.
Resources/Preparing for the Event: Learn More About AI and Teaching
The following curated resources provide guidance on understanding, integrating, and teaching with AI across higher education contexts.
Prompting and Communication with AI
- MIT Sloan EdTech: Effective Prompts – Tips for crafting precise and productive AI prompts.
- Google Cloud: Prompt Engineering Guide – Explains how wording and structure shape AI outputs.
- ClassPoint: A Teacher’s Prompt Guide to ChatGPT – Provides ready-to-use classroom prompt ideas.
Designing Assignments and Learning with AI
- Duke University: AI and Assignment Design – Offers strategies for integrating AI into coursework.
- Harvard Bok Center: Courses and Assignments in the Age of AI – Outlines frameworks for aligning learning outcomes with AI tools.
- Vanderbilt University: Teaching with Generative AI – Highlights tested practices for faculty.
- University of Sydney: Learning with AI Responsibly – Guidance for maintaining integrity while using AI.
Assessment, Integrity, and Policy
- UNESCO: Evolving Assessments with AI – Explores global trends and policy directions in assessment.
- Jisc: Rethinking Assessment and Feedback with AI – Discusses equitable and adaptive grading approaches.
- Turnitin: Academic Integrity and AI Writing – Offers advice for ethical classroom discussions.
- Inside Higher Ed: “Writing in the Age of AI Suspicion” – Reflects on authorship and originality in AI-assisted work.
Tools, Frameworks, and Teaching Resources
- OpenAI: Teaching with AI Resources – Official guidance and classroom examples.
- ChatGPT Education Hub – Ideas and safety guidelines for educational contexts.
- TeachAI.org – Global policy and curriculum frameworks for AI in education.
UTA Professional Development Opportunities
- Pedagogy Next Overview of AI Essentials – Learn more about course structure and outcomes.
- Pedagogy Next Homepage – Features news, guides, and faculty resources.
- Center for Research on Teaching and Learning Excellence (CRTLE) – Workshops and communities for teaching innovation.
- Division of Faculty Success – Professional development opportunities at UTA.
Research and Innovative Teaching Strategies
- Magruder, Karen J.; Cavallo, Ann M.L.; and Clark, Andrew M. (2025). “AI-Powered Education: Innovative Teaching Strategies to Elevate Student Learning.” – A UTA-authored open educational resource from Mavs Open Press offering evidence-based practices for integrating AI into diverse classrooms.
- Mollick, Ethan R., and Mollick, Lilach (2023). “Assigning AI: Seven Approaches for Students, with Prompts.” – A Wharton School research paper presenting practical methods and prompt frameworks for student engagement with AI.
- Cornell Center for Teaching Innovation: “AI in Assignment Design.” – A concise guide to rethinking course assignments in the age of generative AI.