Blogs (3) >>

This program is tentative and subject to change.

Fri 28 Feb 2025 11:41 - 12:00 at Meeting Rooms 310-311 - AI/Machine Learning

The increasing ubiquity of web-based generative artificial intelligence technologies necessitates that all students experience teaming with such technologies – exploring their strengths and limitations and learning how to create synergy with them. To aid in this effort, we designed an end-of-course AI summative project for the freshmen taking our general-education introduction to computing course. Students were required to team with generative AI to create something beyond what they alone (or the AI alone) could accomplish. Upon completion, students submitted a short written critical analysis documenting their experiences and presented a three-minute demonstration of their project in class. Despite limited course coverage of AI and generative AI prior to this final project, we were impressed by the creativity and sophistication of the submitted final products as well as the breadth of generative AI tools explored. Student reflections on their experience illustrated numerous insights into the strengths and limitations of the tools they employed. Our results underscore that students can learn about the benefits and limitations of generative AI in as little as a single assignment and that covering such topics need not require extensive amounts of course time and resources.

This program is tentative and subject to change.

Fri 28 Feb

Displayed time zone: Eastern Time (US & Canada) change

10:45 - 12:00
AI/Machine LearningPapers at Meeting Rooms 310-311
10:45
18m
Talk
Integrating Small Language Models with Retrieval-Augmented Generation in Computing Education: Key Takeaways, Setup, and Practical Insights
Papers
Zezhu Yu University of Toronto, Suqing Liu University of Toronto Mississauga, Paul Denny The University of Auckland, Andreas Bergen University of Toronto Mississauga, Michael Liut University of Toronto Mississauga
11:03
18m
Talk
Leveraging Undergraduate Perspectives to Redefine AI Literacy
Papers
Jack Ebert University of Maryland, College Park, Kristina Kramarczuk University of Maryland, College Park
11:22
18m
Talk
PhysioML: A Web-Based Tool for Machine Learning Education with Real-Time Physiological Data
Papers
Bryan Y. Hernández-Cuevas University of Alabama, Myles Lewis University of Alabama, Wesley Junkins University of Alabama, Chris Crawford University of Alabama, Andre Denham University of Alabama, Feiya Luo University of Alabama
11:41
18m
Talk
Fostering Creativity: Student-Generative AI Teaming in an Open-Ended CS0 Assignment
Papers
Daniel Filcik U.S. Military Academy, Edward Sobiesk United States Military Academy, Suzanne Matthews United States Military Academy