Montreal, Quebec, Canada
June 22, 2025
June 22, 2025
August 15, 2025
Diversity and NSF Grantees Poster Session
6
https://peer.asee.org/55768
Ramana Pidaparti, is currently a Professor in the College of Engineering at the University of Georgia. Dr. Pidaparti received his Ph.D. degree in Aeronautics & Astronautics from Purdue University, West Lafayette in 1989.
Dr. John Mativo is Professor at the University of Georgia. His research interest lies in two fields. The first is research focusing on best and effective ways to teaching and learning in STEM K-16. He is currently researching on best practices i
Through an NSF funded ITEST program, ImageSTEAM, summer workshops were conducted for the past 4 years with diverse middle school teachers in Georgia and Arizona. Specifically, we focused on introducing artificial intelligence (AI) concepts in the middle school curriculum through computer vision and AI tools that will substantially augment science and technology teaching and Learning. We introduced computer vision, machine learning, and computational cameras as key AI tools to engage students in middle school for teachers to creating lesson for middle school grades 6-8 classes as part of teachers professional development in summer. After co-designing and developing the lesson module with the team, teachers practiced with their students at the workshop. Based on the feedback, teachers further improved the lesson modules to present to their classes. The results, including the experiences of the teacher as well as the impact on student learning through AI tools, were obtained through surveys. The results demonstrated teacher satisfaction with AI integration in classroom instruction and increased student engagement in AI-based activities in middle school students and their classrooms. More details about the teachers experiences and the lessons learned will be presented at the conference.
Pidaparti, R., & Mativo, J. M., & Swisher, K. A. (2025, June), BOARD # 394: Middle School Teachers Professional Development for AI instruction through ImageSTEAM Summer Workshops Paper presented at 2025 ASEE Annual Conference & Exposition , Montreal, Quebec, Canada . https://peer.asee.org/55768
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