- Conference Session
- MECH - Technical Session 13: Technological Advancements and Applications
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
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Randall D. Manteufel, The University of Texas at San Antonio; Amir Karimi, The University of Texas at San Antonio
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Mechanical Engineering Division (MECH)
Paper ID #43596Student Use of ChatGPT to Write an Engineering ReportDr. Randall D. Manteufel, The University of Texas at San Antonio Dr. Randall Manteufel is an Associate Professor of Mechanical Engineering at The University of Texas at San Antonio (UTSA). He has won several teaching awards, including the 2012 University of Texas System Regents Outstanding Teaching Award and the 2013 UTSA President’s Distinguished Achievement Award for Teaching Excellence, the 2010, 2014, 2018 and 2019 College of Engineering Student Council Professor of the Year Award, 2008, 2022, 2024 College Excellence in Teaching, and 2005 Mechanical
- Conference Session
- MECH - Technical Session 13: Technological Advancements and Applications
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
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Bingling Huang, California State University, Fullerton; Chan Lu, University of Georgia
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Mechanical Engineering Division (MECH)
, Fullerton Fullerton, California bihuang@fullerton.edu Chan Lu* Department of Lifelong Education, Administration & Policy University of Georgia Athens, Georgia cl25054@uga.edu AbstractThis paper evaluates the mechanical engineering reasoning capabilities of ChatGPT-4, anadvanced Large Language Model (LLM), with the aim of enhancing mechanical engineeringeducation. Mechanical engineering education extends
- Conference Session
- MECH - Technical Session 4: Innovation in Engineering Education Methods
- Collection
- 2024 ASEE Annual Conference & Exposition
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Karen Supan, Norwich University
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Mechanical Engineering Division (MECH)
Artificial Intelligence Case Studies in a Thermodynamics CourseIntroductionWith the explosion of ChatGPT in the past year, it seems that Artificial Intelligence (AI) iseverywhere, but engineering students may not realize its application beyond writing papers. Theaim of this study was to build an AI teaching module that could be implemented into existingMechanical Engineering Curriculum. Rather than teach students how to build neural networksor large language models, the module focused on how AI is utilized in Nuclear Power Plants.The module was then implemented into a Thermodynamics II course, directly following a uniton vapor power plants. The full course outline can be found in Appendix A, Table A1. Sevencase studies from AI and Nuclear Energy
- Conference Session
- MECH - Technical Session 5: Virtual Learning and Technology Integration
- Collection
- 2024 ASEE Annual Conference & Exposition
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Pooya Niksiar, The Citadel; Blakeley Hunter Odom, The Citadel
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Mechanical Engineering Division (MECH)
include rocketry club [1], Baja SAE club [2,3] and Robotic club [4]. Inthe past decade, the advent of Graphical Processing Units (GPUs) accelerated research andapplications in the fields requiring intense computations. Machine and deep learning were thefields that benefited significantly from GPUs as they are computationally, very demanding.Although machine learning and deep learning have been used for decades, ChatGPT was the firstapplication to demonstrate the power and usefulness of Artificial Intelligence (AI) to a publicaudience. Since then, many fields have utilized AI to their advantage. The power andeffectiveness of AI in many fields have led many to believe the next revolution like agriculture,the industrial revolution, and technology