- Conference Session
- Mechanics Division (MECHS) Technical Session 1A
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- 2025 ASEE Annual Conference & Exposition
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Ryan Carr, U.S. Air Force Academy; Phillip Cornwell, U.S. Air Force Academy
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Mechanics Division (MECHS)
Paper ID #45741Exploring the Effective Use of ChatGPT in a Sophomore-Level DynamicsCourseRyan Carr, U.S. Air Force Academy Ryan Carr received his PhD from the Air Force Institute of Technology (AFIT) in 2017 focused on optimal control theory in guidance, control, and navigation or aerospace systems. He was an engineer and branch chief at the Air Force Research Laboratory (AFRL), a flight test engineer the Air Force Test Center (AFTC), and a program manager at the Air Force Office of Scientific Research (AFOSR). He joined the faculty at the United States Air Force Academy in 2023 as an Assistant Professor of Mechanical
- Conference Session
- Mechanics Division (MECHS) Technical Session 1A
- Collection
- 2025 ASEE Annual Conference & Exposition
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Milad Rezvani Rad, University of Southern Indiana; Julian Ly Davis, University of Southern Indiana
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Mechanics Division (MECHS)
Paper ID #48464Leveraging ChatGPT 4.0’s Image Processing Feature for Enhanced Problem-SolvingSupport in Mechanical Engineering CoursesProf. Milad Rezvani Rad, University of Southern Indiana Dr. Milad Rad is an Assistant Professor in the Engineering Department at the University of Southern Indiana. He earned his Ph.D. in Mechanical Engineering from the University of Alberta in Canada. Besides his specialization in functional thermally sprayed coatings, he explores innovative AI-driven approaches to enhance student engagement in the classroom.Dr. Julian Ly Davis, University of Southern Indiana Jul Davis is an Associate
- Conference Session
- Mechanics Division (MECHS) Technical Session 1A
- Collection
- 2025 ASEE Annual Conference & Exposition
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Jacklyn Wyszynski, University of Pittsburgh; David Adam DeFrancisis, University of Pittsburgh; David Pabst, University of Pittsburgh; Lee Allen Dosse, University of Pittsburgh; Matthew M. Barry, University of Pittsburgh
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Mechanics Division (MECHS)
propulsion systems and Engineering Education. ©American Society for Engineering Education, 2025 ACE up your Sleeve: An Analysis of Student Generative AI Usage in an Engineering Statics CourseAbstractRapid technological advancements, including the emergence of computer-aided design andsimulation, have had a significant impact on the engineering industry. This, in turn, extends toengineering education, demonstrating a similar influential effect. The latest development to havesuch reverberations is the launch of a generative artificial intelligence (AI) chatbot known asChatGPT. ChatGPT utilizes a large language model (LLM) that trains the platform to understandand generate human-like responses
- Conference Session
- Mechanics Division (MECHS) Technical Session 1A
- Collection
- 2025 ASEE Annual Conference & Exposition
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Dave Kim, Washington State University-Vancouver; Charles Riley P.E., Oregon Institute of Technology
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Mechanics Division (MECHS)
, particularly alarge language model (LLM), in writing education, the systematic studies related to the ethicaluse of GAI are limited. While grounded in the ethical adaptation of GAI in grading and feedbackfor engineering lab writing, we focus on GAI’s capability to assist with engineering lab reportassessment. Lab report grading is time-consuming for lab instructors and teaching assistants.Moreover, constructing impactful feedback can be challenging for many reasons. In this pilotstudy, we used Copilot and ChatGPT 4o to conduct evaluation and feedback on student labreports of past courses when the instructors did not use generative AI technologies. The studyspace was limited to the two engineering labs in two institutions: strength of materials