The Hands-on AI Series for Teaching Excellence (HASTE) is a three-part workshop series that equips University of Alabama educators with the skills to integrate AI technologies and teaching strategies into their lectures, course materials and pedagogical toolkits. The series is open to faculty across all disciplines and is designed as an upskilling crash-course for instructors looking to become more conversant with education-centered AI methods.
HASTE is particularly focused on teaching educators how to harness AI to combat student disengagement, how to rebuild student assignments and assessments to meet new threats to academic integrity, and to better prepare themselves and their students for an increasingly AI-driven future.
These 75-minute workshops are structured as bring-your-own-device (laptops) seminars with all participants actively using AI tools throughout each session.
HASTE Workshop Series Overview
Workshop I – TEXT
The opening HASTE workshop covers the basics of large-language model prompting through platforms such as ChatGPT and introduces participants to dozens of ready-made prompts to assist with lecture construction, active learning assignment generation, flipped classroom techniques, syllabus creation and real-time AI-driven debates. Instructors will learn how to create their own unique prompts to suit their specific teaching/learning needs.
Workshop II – VISUALS
The second workshop centers on how instructors can use AI to generate images, videos and other forms of visual media to create a multisensory learning environment that extends beyond the basic PowerPoint slide. Participants will learn how to match visuals with lecture narration and how to create visuals that serve as educational tools in and of themselves.
Workshop III – ASSESSMENTS & ETHICS
The series closes with a frank discussion on the realities of student assessment in the AI age and explores various approaches taken by educators across the country to adapt to this new reality. Most importantly, participants will learn how to use AI to create “AI-proof” assignments and how to construct new assignments that incorporate student AI usage in exciting and manageable ways.
Workshop dates
(participants must be able to attend all three dates)
- Friday, January 31, 12-1:15 p.m. 1311 University Hall
- Friday, February 2, 12-1:15 p.m. 1311 University Hall
- Friday, March 28, 12-1:15 p.m. 1311 University Hall
Space is limited. Participants will be admitted on a first-come, first-served basis with consideration given to college representation, following completion of the interest survey. Register Here
About the Instructors
Dr. Lawrence Cappello is an associate professor of U.S. Legal and Constitutional History, and co-director of the UA Artificial Intelligence Teaching Enhancement Initiative. He has published and presented widely on artificial intelligence and the right to privacy, is a recipient of the UA National Alumni Association’s Outstanding Commitment to Teaching Award, has served as an A&S Distinguished Teaching Fellow, and was named Faculty Advisor of the Year for the SEC. region by the National Academic Advising Association.
Dr. Katherine Chiou is an assistant professor of Anthropology and co-director of the UA Artificial Intelligence Teaching Enhancement Initiative. Her research spans foodways past and present, social inequality, plant domestication, machine learning applications in plant identification, applied ethics, public engagement and responsible conduct of research. Her current ethics project, funded by the NSF Ethical and Responsible Research Program, probes the effectiveness of case-study-based training in developing ethical decision-making competencies and works to diversify ethics education. She is a recipient of the UA National Alumni Association’s Outstanding Commitment to Teaching Award and serves as an A&S Distinguished Teaching Fellow.