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Middle School Teachers Lesson Modules on AI topics from Summer Workshop

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Conference

ASEE Southeast Section Conference

Location

Arlington, Virginia

Publication Date

March 12, 2023

Start Date

March 12, 2023

End Date

March 14, 2023

Conference Session

K-12 and Outreach

Tagged Topic

Professional Engineering Education Papers

Page Count

5

DOI

10.18260/1-2--45028

Permanent URL

https://peer.asee.org/45028

Download Count

51

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Paper Authors

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Suren Jayasuriya Arizona State University

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Suren Jayasuriya is an assistant professor jointly between the School of Arts, Media and Engineering (AME) and the School of Electrical, Computer, and Energy Engineering (ECEE) at Arizona State University. Prior to this, he was a postdoctoral fellow at the Robotics Institute at Carnegie Mellon University from 2016 - 2017. He received his Ph.D. in Electrical and Computer Engineering from Cornell University in 2017, and a B.S. in Mathematics and a B.A. in Philosophy from the University of Pittsburgh in 2012. His research interests are in computational imaging and photography, computer vision and graphics, sensors, and education.

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Ramana Pidaparti University of Georgia

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Ramana Pidaparti, is currently a Professor of Mechanical Engineering at UGA. Dr. Pidaparti received his Ph.D. degree in Aeronautics & Astronautics from Purdue University, West Lafayette. He has taught previously at Virginia Commonwealth University, and Purdue University campus in Indianapolis (IUPUI). He has taught several courses in design, mechanics of materials, optimization, and directed many interdisciplinary projects related to design. Dr. Pidaparti's research interests are in the broad areas of multi-disciplinary design, computational mechanics, STEM Education, and related topics. Dr. Pidaparti has published over 300 technical papers in refereed journals and conference proceedings. Dr. Pidaparti received a Research Initiation Award from the National Science Foundation and the Young Investigator Award from the Whitaker Foundation. He is a member of Tau Beta Pi, Sigma Gamma Tau, and Who's Who societies. He is a member of professional societies including AIAA (Associate Fellow), AAAS (Fellow), ASME (Fellow), RAeS (Fellow), and ASEE (member).

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John M Mativo University of Georgia

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Dr. John Mativo is Associate 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

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Kimberlee Ann Swisher Arizona State University

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Abstract

Through a NSF funded ITEST program, labeled ImageSTEAM, a summer workshop was conducted at UGA by the team to empower middle school teachers to AI topics. For the summer workshop, teachers were introduced to AI topics including computer vision, machine learning and computational cameras as part of their professional development. After the introduction, lesson modules were co-created with teachers to introduce them to middle school students in their classroom. The lesson modules were related to math/science/art topics and align with state and national standards of learning in middle school curriculum. After developing the lesson module, each teacher presented the lesson to workshop students to gauge their understanding and interest in AI topics. This paper discusses the variety of lesson modules developed by the teachers and how the lesson modules were adopted into middle school curriculum. The results and experiences of teachers/students will be shared and presented at the conference.

Acknowledgement: The authors thank the U. S. National Science Foundation for sponsoring the research through a grant NSF-ITEST-1949493.

Jayasuriya, S., & Pidaparti, R., & Mativo, J. M., & Swisher, K. A. (2023, March), Middle School Teachers Lesson Modules on AI topics from Summer Workshop Paper presented at ASEE Southeast Section Conference, Arlington, Virginia. 10.18260/1-2--45028

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