Conference Session

ME Division Technical Session 2 - Harnessing AI and Machine Learning to Transform ME Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rujun Gao, Texas A&M University; Hillary E. Merzdorf, Cornell University; Xiaosu Guo, University of Texas at Dallas; Sami Melhem, Texas A&M University; Kristi J. Shryock, Texas A&M University; Arun R Srinivasa, Texas A&M University

Tagged Divisions

Mechanical Engineering Division (MECH)

Paper ID #49105An Assessment of ChatGPT 4o’s Performance on Mechanical EngineeringConcept InventoriesDr. Rujun Gao, Texas A&M University Dr. Rujun Gao has completed her Ph.D. in Mechanical Engineering at Texas A&M University and holds an M.S. in Mechanical Engineering from Zhejiang University, China. Her research focuses on Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), LLM Agents, and the development of educational technology products.Hillary E. Merzdorf, Cornell University STEM Instructional Design Associate, eCornell, Cornell UniversityXiaosu Guo, University of Texas at

Conference Session

Mechanics Division (MECHS) Technical Session 1A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ryan Carr, U.S. Air Force Academy; Phillip Cornwell, U.S. Air Force Academy

Tagged Divisions

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

Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tianjiao Zhao, East Carolina University; Angela Whitehurst, East Carolina University; George C. Wang P.E., East Carolina University; Xi Lin, East Carolina University; Xi Wang, Drexel University; Ron Chance, East Carolina University; Chelsea Rebecca Buckhalter, East Carolina University; shahrooz Ghorbani, East Carolina University

Tagged Divisions

Engineering Ethics Division (ETHICS)

success in engineering education.Ron Chance, East Carolina UniversityChelsea Rebecca Buckhalter, East Carolina Universityshahrooz Ghorbani, East Carolina University ©American Society for Engineering Education, 2025 ChatGPT in Engineering Education: Revolutionizing Writing, Navigating Ethics, and Promoting Responsible UseAbstractSince its release in November 2022, ChatGPT has significantly influenced writing practicesacross educational disciplines, particularly in engineering writing courses. This studyexpands on a prior investigation that surveyed 110 undergraduate engineering students ontheir attitudes toward ChatGPT's role in writing tasks. To explore evolving perceptions, afollow-up survey with

Conference Session

Mechanics Division (MECHS) Technical Session 1A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Milad Rezvani Rad, University of Southern Indiana; Julian Ly Davis, University of Southern Indiana

Tagged Divisions

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

Construction Engineering Division: AI & Automation

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hector Buyones-Gonzalez, Universidad Andres Bello, Santiago, Chile ; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile

Tagged Divisions

Construction Engineering Division (CONST)

Paper ID #46660Using ChatGPT to Improve Learning in Applied Statics for ConstructionEngineering StudentsProf. Hector Buyones-Gonzalez, Universidad Andres Bello, Santiago, Chile Hector Buyones Gonzalez is a professor in the School of Engineering’s Construction Engineering program at Universidad Andres Bello and Universidad Autonoma de Chile in Santiago, Chile. He earned his degree in Civil Engineering and Civil Construction, as well as a Master’s degree in Construction Management. With extensive experience coordinating and executing construction projects across diverse sectors—including the oil industry (refineries

Conference Session

ECE-Applications of AI and ChatGPT in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bin Chen, Purdue University Fort Wayne; David S Cochran, Purdue University Fort Wayne; Jeffrey Andrew Nowak Ph.D., Purdue University Fort Wayne; Guoping Wang, Purdue University Fort Wayne

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Paper ID #47761Assessing ChatGPT 4o for AI-Assisted Problem Solving in Electric CircuitsTeachingDr. Bin Chen, Purdue University Fort WayneDavid S Cochran, Purdue University Fort WayneJeffrey Andrew Nowak Ph.D., Purdue University Fort WayneGuoping Wang, Purdue University Fort Wayne Guoping Wang, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at Purdue University Fort Wayne. He earned his Ph.D. from the University of Oklahoma in 2003, following a Master’s from Nanjing University and a Bachelor’s from Tsinghua University. Dr. Wang’s research interests include the Internet of Things, edge

Conference Session

ECE-Applications of AI and ChatGPT in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Farid Farahmand, Sonoma State University; Shivakumar Mathapathi, Northeastern University, Silicon Valley Campus

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Capstone CourseKeywords: Capstone Projects, Electrical Engineering Education, Generative AI in Education,ChatGPT, Entrepreneurship in Engineering, Marketing and Design Requirements, ABET.1. IntroductionIn recent years, many engineering programs have integrated entrepreneurship education into thecapstone experience, blending technical engineering skills with entrepreneurial processes,namely ideation, customer discovery, client validation, and commercial viability [3] Theseprocesses enable students to translate their technical knowledge into economically relevantengineering practice. The objective is to produce graduates who are not only technicallyproficient but also capable of navigating the business landscape, ethically aware, and responsiveto

Conference Session

ECE-Applications of AI and ChatGPT in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Guoping Wang, Purdue University Fort Wayne

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

secured multiple grants for innovative projects. A senior member of IEEE, he actively contributes to the field through publications and conference presentations. ©American Society for Engineering Education, 2025 Case Studies of ChatGPT for Embedded Systems TeachingAbstractThe rise of AI technology, particularly Generative AI, has significantly transformed the landscapeof higher education. Generative AI, such as ChatGPT, has been extensively studied in fields likeComputer Science to assess its effectiveness in enhancing learning. However, its impact on morespecialized areas, such as bare-metal embedded systems, remains underexplored. Bare-metalembedded systems, which include hardware (e.g

Conference Session

ECE-Applications of AI and ChatGPT in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ren Butler, Carnegie Mellon University; D. Matthew Boyer, Clemson University; Andrew Begel, Carnegie Mellon University; Rick Kubina, Pennsylvania State University; Somayeh Asadi, University of Virginia; Taniya Mishra; JiWoong Jang, Carnegie Mellon University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Conference Session

ECE-Applications of AI and ChatGPT in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yumin Zhang, Southeast Missouri State University; Bradley Deken, Southeast Missouri State University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

education. ©American Society for Engineering Education, 2025 AI-Assisted Learning of VHDL Yumin Zhang, Brad Deken Department of Engineering and Technology Southeast Missouri State University Cape Girardeau, MO 63701AbstractVHDL is widely used in digital systems design courses in electrical engineering programs, yetmany students struggle with its steep learning curve. Integrating AI tools like ChatGPT presentsan innovative and effective solution to these challenges. By leveraging AI in the learningprocess, students can benefit from real-time, interactive feedback on coding

Conference Session

AI, Technology, and Data-Driven Learning in Biomedical Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Viswajith Siruvallur Vasudevan, Cornell University; Shivaun D Archer, Cornell University; Jonathan T. Butcher, Cornell University

Tagged Divisions

Biomedical Engineering Division (BED)

Paper ID #46505Exploring the Efficacy of Generative AI and ChatGPT in BME InstructionalLabs: A Case Study on GABA Receptors and Synaptic PotentialsDr. Viswajith Siruvallur Vasudevan, Cornell University Viswajith Siruvallur Vasudevan is currently pursuing a postdoctoral fellowship in Active Learning at the Meinig School of Biomedical Engineering, Cornell University. He obtained his Ph.D. in Electrical Engineering from University of Central Florida (May 2020) working on the control and therapeutic optimization of Ventricular Assist Devices. Following his Ph.D., he worked in Cornell University as a postdoctoral associate in

Conference Session

AI in the Engineering Management Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nahid Vesali, The Citadel

Tagged Divisions

Engineering Management Division (EMD)

Paper ID #49017Developing Critical Thinking in Engineering Management through AI-BasedScheduling Assignments: A Study of Copilot, ChatGPT, Gemini and PMIInfinityDr. Nahid Vesali, The Citadel Dr. Nahid Vesali is an Assistant Professor in the Department of Engineering Leadership and Program Management (ELPM) in the School of Engineering (SOE) at The Citadel. She joined the program in Aug 2020. She teaches project management, technical planning ©American Society for Engineering Education, 2025 Developing Critical Thinking in Engineering Management through AI-Based Scheduling Assignments: A

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anthony Cortez, Point Loma Nazarene University; Paul Schmelzenbach, Point Loma Nazarene University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #48446BOARD # 78: Student Use of ChatGPT and Claude in Introductory EngineeringEducation: Insights into Metacognition and Problem-Solving PatternsDr. Anthony Cortez, Point Loma Nazarene University Anthony Cortez is currently an Assistant Professor in the department of Physics and Engineering at Point Loma Nazarene University. He received his BS in Physics from University of California San Diego (UCSD). He went on to complete his MS and Ph.D. in Mechanical Engineering from University of California Riverside (UCR). His research interests include technology as a tool in the classroom, high temperature superconductivity

Conference Session

Biological and Agricultural Engineering Division (BAE) Technical Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lucie Guertault, North Carolina State University at Raleigh

Tagged Divisions

Biological and Agricultural Engineering Division (BAE)

Paper ID #46672Investigating the capabilities and limitations of ChatGPT to perform programmingassignments from an introductory R programming courseDr. Lucie Guertault, North Carolina State University at Raleigh ©American Society for Engineering Education, 2025 Investigating the capabilities and limitations of ChatGPT to perform programming assignments from an introductory R programming course 1. IntroductionLarge language models (LLMs) are generative artificial intelligence (AI) tools capable ofperforming various natural language processing tasks such as generating text and engaging inconversations with

Conference Session

WiP: Gen AI, Mixed Reality, and Simulations

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gautom Kumar Das, University of Maryland Baltimore County

Tagged Divisions

Chemical Engineering Division (ChED)

Paper ID #46722Work-in-Progress: Leveraging ChatGPT to Support Technical CommunicationSkills (Writing) in a Senior Chemical Engineering Laboratory CourseDr. Gautom Kumar Das, University of Maryland Baltimore County Dr. Gautom Das is an Associate Teaching Professor in the Chemical, Biochemical and Environmental Engineering at UMBC. Prior to joining UMBC, he was a Research Scientist and Lecturer in the Chemical and Biomolecular Engineering at Rice University, and a Post-doctoral Scholar at the University of California, Davis. He earned his PhD in Chemical and Biomolecular Engineering from the Nanyang Technological

Conference Session

Mechanical Engineering Division (MECH) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yingxiao Song, Muskingum University

Tagged Divisions

Mechanical Engineering Division (MECH)

Paper ID #48784BOARD # 185: Possibility of ChatGPT Application on Mechanical DesignEducation: A Comparative Study of Traditional and AI-Assisted Design ProcessesProf. Yingxiao Song, Muskingum University Assistant Professor in Physics and Engineering Department of Muskingum University ©American Society for Engineering Education, 2025 Possibility of ChatGPT Application on Mechanical DesignEducation: A Comparative study of traditional and AI-assisted Design ProcessAbstractMany educators are hesitant to integrate tools like ChatGPT into the classroomdue to concerns about plagiarism and copying. However

Conference Session

Computers in Education Division (COED) Track 5.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Milad Rezvani Rad, University of Southern Indiana; Ronald Diersing, University of Southern Indiana; Ryan Integlia, University of Southern Indiana; Julian Ly Davis, University of Southern Indiana

Tagged Divisions

Computers in Education Division (COED)

Education, 2025 Enhancing Coding Skills and Learning Efficiency in Engineering Programming Courses by Using AI ToolsAbstractIntegrating AI tools like ChatGPT and Gemini into programming courses, such as the freshman-level Fundamentals of Engineering, provides students with invaluable support for enhancing theircoding skills. One common challenge students face is the correct use of characters and punctuation,which often leads to errors and frustration. This manuscript examines how ChatGPT can helpstudents overcome these obstacles by providing real-time feedback and guidance. In-classexamples were used to evaluate the accuracy of code troubleshooting, and student surveys assessedthe impact on motivation, engagement, and coding

Conference Session

AI Integration in Engineering Economy Course

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hamed Samandari, University of Massachusetts Dartmouth

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy Division (EED)

Engineering Economy CoursesAuthor: Hamed SamandariAffiliation: University of Massachusetts DartmouthAbstractThe rapid development of Artificial Intelligence (AI) presents both opportunities and challengesfor engineering education. As AI tools like ChatGPT become more accessible, studentsincreasingly use them to complete assignments, prompting educators to evaluate whether tointegrate AI as a learning aid or restrict its usage. This study explores the potential of AI toenhance student learning outcomes in an engineering economics course. Specifically, we utilizeChatGPT, which provides detailed explanations of economic theories, guidance onmicroeconomic principles, example problems, and real-world economic

Conference Session

Aerospace Division (AERO) Technical Session 4 - Teaching Methodology

Collection

2025 ASEE Annual Conference & Exposition

Authors

Julie B. Coder, The Pennsylvania State University; James G Coder, Pennsylvania State University; Mark D. Maughmer, The Pennsylvania State University

Tagged Divisions

Aerospace Division (AERO)

applied aerodynamics and aircraft design. ©American Society for Engineering Education, 2025 Aerospace Engineering Education in the Era of Generative AIAbstractThe proliferation of large-language model (LLM) generative artificial intelligence (AI) tools likeChatGPT raises an inevitable question of how it should impact student assessments in aerospaceengineering. To evaluate this, a large sample of multiple-choice questions from undergraduateaerodynamics and aeronautics courses were input into ChatGPT-4 and Gemini and the accuracyevaluated. The cognitive level of each question was coded using Bloom’s taxonomy based onconsensus of the authors. It was found that that generative AI performs increasingly poorly as

Conference Session

Chemical Engineering Division (ChED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Allen Hersel, Trine University

Tagged Divisions

Chemical Engineering Division (ChED)

, material property prediction,and fault detection in industrial processes. Gaining expertise in these methods equips students totackle complex challenges and drive innovation within the field. In 2018, I formed a researchgroup focused on tackling a range of machine learning problems, despite the absence of formalprogramming instruction in the curriculum. To streamline our workflow and improve efficiency,we selected MATLAB for its machine learning toolbox, which minimized the amount of manualcoding required for implementing and testing algorithms.This poster examines how ChatGPT, an AI language model, has functioned as an educationaltool to assist chemical engineering students in bridging the gap between their core discipline andmachine learning

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hannah Oluwatosin Abedoh, Morgan State University; Blessing Isoyiza ADEIKA, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Abiola Olayinka Ajala, Morgan State University; OLUWATOYOSI OYEWANDE, Morgan State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Master’s in Advanced Computing and a Bachelor’s in Computer Science, Abiola has expertise in data science, cybersecurity, networking, business analysis, and system administration. A member of ASEE,IEEE who is passionate about STEM education to introduce K1-12 students to computing/ engineering skills and digital literacy.OLUWATOYOSI OYEWANDE, Morgan State University ©American Society for Engineering Education, 2025Perception of the Impact of Artificial Intelligence on EducationAbstractThis work-in-progress paper explores the perceptions of students and educators regarding theimpact of Artificial Intelligence (AI) on education, specifically before and after the release ofOpenAI’s ChatGPT. Using a mixed

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michaela Harper, Utah State University; Cassandra J McCall, Utah State University; Daniel Kane, Utah State University; Wade H Goodridge, Utah State University; Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University

Tagged Divisions

Computers in Education Division (COED)

, respectively. He also hasextensive experience in working collaboratively with several universities in Asia, the World Bank Institute,and USAID to design and conduct workshops promoting active-learning and life-long learning that issustainable and scalable. Dr. Lawanto’s research interests include cognition, learning, and instruction,and online learning. ©American Society for Engineering Education, 2025 WIP: Voices of the Future: Student Insights on AI's Role in Shaping Learning, Integrity, and Norms in Higher EducationAbstractThis work-in-progress paper explores university students’ perspectives on Generative ArtificialIntelligence (GAI) tools, such as ChatGPT, an increasingly prominent topic in the

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason Yao, East Carolina University

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

undergraduate education. Dr. Yao is a senior member of Institute of Electrical and Electronics Engineers (IEEE) and an active IEEE volunteer. ©American Society for Engineering Education, 2025 Study Historical Cases, Learn Today’s Tools, and Prepare for the FutureThe rapid development of artificial intelligence (AI) since the emergence of ChatGPT has beenoverwhelming. The swift transformation that such powerful and disruptive tools brought to theindustry urges engineering educators to prepare their graduates not only with the skills to usethese new tools, but with an understanding of the ethical and moral implications involved intheir applications. Inspired by Marcus Aurelius’ quote "To predict the future

Conference Session

DASI Technical Session 2: Artificial Intelligence in Higher Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lauren Singelmann, Minnesota State University, Mankato; Jack Elliott, Minnesota State University, Mankato; Yuezhou Wang, Minnesota State University, Mankato; Jacob John Swanson, Minnesota State University, Mankato

Tagged Topics

Diversity

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

Capabilities to Perform Specific TasksIntroductionGenerative AI (GAI) tools like ChatGPT and Copilot can quickly prepare polished, fiveparagraph essays and clever limericks about any given topic, but can they multiply seventwo-digit numbers? Or answer a question from the Fundamentals of Engineering exam? Or tellyou what the image in a “connect-the-dots” puzzle is? GAI tools are designed to be able toproduce human-like language responses to given prompts, but performance varies depending onthe nature of each task. To further complicate the evaluation of GAI performance, each tool (e.g.ChatGPT, Copilot, Gemini) has its own process for generating responses, and these processescan evolve rapidly – with success varying across tools

Conference Session

Systems Engineering Division (SYS) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Garrett Goodman, Miami University; Suman Bhunia, Miami University; Peter Jamieson, Miami University

Tagged Divisions

Systems Engineering Division (SYS)

students receive the knowledge they require to move from theComputer Science academic setting into the professional setting, which largely utilizes suchGen-AI tools. Thus, this will prepare the next generation of computer scientists to be effectiveAI-augmented professionals.1 IntroductionArtificial Intelligence (AI) introduces challenges to the traditional educational landscape.Educators need to teach students crucial concepts for their field but also need to prepare studentson how to use relevant tools for their future in the workforce. One such tool is the emergence ofLarge Language Models (LLMs) like ChatGPT-4, Copilot, and Claude, which show a significantleap in AI capabilities. Such technologies require educators to reevaluate teaching

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 11

Collection

2025 ASEE Annual Conference & Exposition

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Scott F. Kiefer, York College of Pennsylvania; Yargo Teixeira Gomes de Melo, York College of Pennsylvania

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

integrated into several engineering courses and consider potentialmethods for measuring the growth of its use by students.ChatGPT, in particular, has been extensively used by students for writing code, debugging code,refining term papers, and understanding complex problems. In several Fall 2024 classes, studentsreported increasing reliance on ChatGPT for assistance with their academic assignments. Wepresent several examples where students were encouraged to consult ChatGPT for help incompleting projects and assignments. In some cases, we found that students benefited from AIassistance. For instance, students who were stuck on specific algebraic problems orprogramming tasks were able to quickly access help or debug code, enabling them to

Conference Session

Leveraging AI and Computational Tools for Enhanced Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Chloe Lok Yee Chan, Department of Chemical & Biological Engineering, Villanova University; Brianna Fan, Department of Chemical and Biological Engineering, Villanova University; Henry Pei, Department of Chemical & Biological Engineering, Villanova University; David Kaicheng Shen; Christopher Song; Chenhao A Zhao; Zuyi (Jacky) Huang, Villanova University

Tagged Divisions

Chemical Engineering Division (ChED)

for Engineering Education, 2025Enhancing Chemical Process Control Education: A Self-Paced, AI-Assisted Approach to Strengthen ODE Modelingand Simulation SkillsChloe Lok Yee Chan+, Brianna Fan+, Henry Pei+, David Shen+, Christopher Song+, Chenhao A Zhao+, Zuyi(Jacky) Huang*Department of Chemical and Biological Engineering, Villanova University, Villanova, PA 19085+: Equal Contribution, Alphabetical Sequence of Last Names*: Corresponding author: zuyi.huang@villanova.eduAbstract: This study explores the integration of AI tools, particularly ChatGPT, into engineeringeducation to enhance learning in Ordinary Differential Equation (ODE) modeling in the course ofChemical Process Control. A self-paced, AI-assisted project was developed to refresh

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Justin L Hess, Purdue University at West Lafayette (COE); Robert P. Loweth, The University of North Carolina at Charlotte; Udeme Idem, Purdue University at West Lafayette (COE)

Tagged Topics

NSF Grantees Poster Session

,responsible, and nondiscriminatory uses of AI in education, including the impact AI systems haveon vulnerable and underserved communities.” Accordingly, there is a need to develop AI resourcesfor educational contexts (including engineering design) that bring clarity regarding AI’sresponsible and ethical use therein. Undergirding our project design is our belief that GenerativeAI can assist students in making more novel, inclusive, and ethical associations across domains.Pilot Observations of AI Use in Engineering Design CoursesThe first two authors have piloted use of ChatGPT to support students in our design courses. Thispilot work serves as the foundation for our RFE study. We found that the use of Generative AI inengineering courses is subject to

Conference Session

Generative AI and Its Role in Industrial Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Edward James Isoghie, University of Louisville; Jason J Saleem, University of Louisville; Thomas Tretter, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville

Tagged Divisions

Industrial Engineering Division (IED)

Department of Engineering Fundamentals at the University of Louisville. He graduated from Furman University in 1992 with degrees in Computer Science and Philosophy. In 2008 he earned his Ph.D. in Computer Science Engineering from the University of Louisville. His research interest include cyber-security for industrial control systems and active learning. ©American Society for Engineering Education, 2025The Use of Generative AI for the Rapid Development of Qualitative Interview Transcripts for a Human-Centered Design ProblemAbstractThis paper describes how generative AI (i.e., ChatGPT) was used to rapidly develop fictitious,yet realistic, qualitative interview transcripts for industrial engineering

Conference Session

AI Integration in Engineering Economy Course

Collection

2025 ASEE Annual Conference & Exposition

Authors

Dani Fadda, University of Texas at Dallas; Oziel Rios, University of Texas at Dallas; P.l.stephan Thamban

Tagged Divisions

Engineering Economy Division (EED)

= 1000, Annual net income = +4000, n = 8years?” This example is Option A in the actual homework assignment shown in Fig. 1.When these prompts are entered in ChatGPT at the time of creating the assignment (September2024), the response includes a cash flow summary for years 0 to 8 and ChatGPT responds: “InExcel: =IRR(A1:A9) where A1 to A9 contains the cash flows.”The third prompt in the provided example is “What is the actual value?” This should yield i* =2.1%. However, ChatGPT responds: “you should find that the IRR (rate of return) isapproximately 9.65%.” This response by AI gives the professor an opportunity to explain in theexample the concepts of hallucinations and misalignment, where AI produces content that isuntrue or factually inaccurate