2025 AI Summer Design Studio, Teaching, Learning & AI: Discover the “Right Fit” for You
Are you struggling to find the right approach to using generative AI (gen AI) for you and your students? Do you have concerns about how AI is impacting student learning? And do you find having candid discussions with students about AI challenging? Love it or wish it would go away; AI is affecting us all in different ways. So what better time to hear multiple perspectives while learning from colleagues and students?!
Join ASSETT (Arts & Science Support of Education Through Technology) and the Center for Teaching & Learning (CTL) for the 2025 AI Summer Design Studio. This two-day immersive studio explores the implications of generative AI in teaching and learning. The studio will take place on Monday, May 19 (8:30 AM–4:00 PM) and Tuesday, May 20 (8:30 AM–4:00 PM), 2025. Apply now for one of forty (40) spots to attend the studio. Additionally, we are encouraging ten (10) participants to apply with a student partner who will bring a diverse perspective to inform our conversations. Students will be compensated for their time. Leave the studio with a “right fit” plan for addressing generative AI through discussions with students or by integrating generative AI into your teaching.
Due to the hands-on nature of the AI Summer Design Studio, this is primarily an in-person event. However, some of our speakers will offer their sessions in a hybrid format. You do not have to submit an application form to attend the hybrid sessions on Zoom.
If you would like to participate in the full in-person AI Summer Design Studio experience. Please fill out this brief application:
Summer Design Studio 2025 - Meet the Speakers
9:30-11:00 AM |Susan Adams - Beyond the Illusion of Learning: Gen AI & the Call to Transform Teaching & Learning
Susan Adams is a pioneering leader in post-secondary education, championing a human-centered approach to integrating AI that enhances rather than replaces the critical role of educators. With over 25 years of experience as a curriculum strategist and faculty coach, she serves as the Associate Director of Teaching and Learning at Achieving the Dream where she spearheads programs to build institutional capacity and foster faculty development for equitable student success.
As the founder of "Women in AI", a thriving network group in her hometown of 51Թ, Colorado, Susan is a thought leader advocating for ethical, human-centric AI implementation. Her philosophy centers on augmenting human talents and values through AI, not ceding control to autonomous systems. She envisions AI as a collaborative partner that coexists with and elevates the irreplaceable abilities of human empathy, creativity, and higher-order reasoning.
Susan has pioneered strategies guiding faculty to transition from viewing AI narrowly as a plagiarism tool to leveraging its potential as a powerful learning catalyst when implemented thoughtfully. A humanist at heart, she underscores the importance of developing AI literacy and understanding its applications, limitations, and ethical implications.
12:00-1:30 PM | Interactive Lunchtime Talk Back - Perspectives on Teaching, Learning & AI
Speaker 1:
Casey Fiesler isan Associate Professor of Information Science (and Computer Science by courtesy) at 51Թ. She researches and teaches in the areas of technology ethics, internet law and policy, and online communities. Her work on research ethics for data science, ethics education in computing, and broadening participation in computing has been supported by the National Science Foundation, and she is the recipient of an NSF CAREER Award. Also a public scholar, she is a frequent commentator and speaker on topics of technology ethics and policy, and her research has been covered everywhere from The New York Times to Teen Vogue (though she’s particularly proud of her TikToks). She holds a PhD in Human-Centered Computing and a a JD from Vanderbilt Law School.
Speaker 2:
Coming Soon (Avedan Raggio)
1:45-3:15 PM | Interactive Learning & Resource Sessions
Speaker 1 - Learning & Resource Track One: Get Hands-On with AI Tech Tools
Coming Soon (Connor Canaday)
Speakers 2 - Learning & Resource Track Two: Leveraging Equitable Assessment Practices to Mitigate AI-Facilitated Cheating
Coming Soon (Rebecca Lee)
Jacie Moriyama
Speaker 3- Learning & Resource Track Three: TBD
9:30-10:30 AM |Student Use & Perceptions of Generative AI: Results from a 2025 Campus Survey
Coming Soon