Asee peer logo
Displaying all 4 results
Conference Session
MECH - Technical Session 13: Technological Advancements and Applications
Collection
2024 ASEE Annual Conference & Exposition
Authors
Randall D. Manteufel, The University of Texas at San Antonio; Amir Karimi, The University of Texas at San Antonio
Tagged Divisions
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
Bingling Huang, California State University, Fullerton; Chan Lu, University of Georgia
Tagged Divisions
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
Authors
Karen Supan, Norwich University
Tagged Divisions
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
Authors
Pooya Niksiar, The Citadel; Blakeley Hunter Odom, The Citadel
Tagged Divisions
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