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

ECE-Grading Approaches and Assessment Practices

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ilya Mikhelson, Northwestern University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

. However, there are a few restrictions: • The minimum version of ChatGPT is specified. • Catching ChatGPT making oversimplifications is insufficient. • No purposely incorrect questions are allowed.After finding a misconception, students have to analyze the error and provide a detailedexplanation of what makes ChatGPT wrong. Additionally, they have to explain the concept thatwould correct its misunderstanding.For documentation, students must provide a link to the conversation, so that it is impossible tofake. However, there is still room for academic dishonesty, as there is no way to know if the ideawas suggested by someone else.3 Results and DiscussionWhile the assessment strategy has been well received and enjoyed by students

Conference Session

Technical Proficiency and Cybersecurity Awareness in ECE Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Doug W. Jacobson, Iowa State University of Science and Technology

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

tools that are authoritativeand adaptable to the needs of different learners.In the spring of 2024, we held a CyberEd-Expo where student ambassadors presented materialsthey had developed to the CyberEd group for feedback. They first presented a plan in the fall of2023 of what types of materials and lessons they were planning, and we provided initialfeedback. The goal is to make these materials available to other ambassadors.The CyberEd group utilized ChatGPT to develop the framework and some content for theambassador program materials, as described above. Below is a description of how ChatGPT wasused for the various parts of the program. I also want to acknowledge that ChatGPT helpedcreate the description below of how ChatGPT supports the

Conference Session

Poster Session-Electrical and Computer Engineering Division (ECE)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ernest Wang, University of California, Davis; Harry Zhang, University of California, Davis; Paul J. Hurst, University of California, Davis; Yubei Chen, University of California, Davis; Kenneth Dyer, Microsoft Corporation

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

the latest OpenAI and Anthropic models: ChatGPT 4o [9] and Claude 3.5Sonnet [10]. These two models were selected based on previous benchmark results for reasoningand mathematics [11, 12]. In some of our experiments, the AI LLMs are used ‘as is’ or ‘off theshelf’ - no training and no instructions. In other experiments, the AI LLMs are trained, i.e.instructions are fed into the AI program along with one or more chapters of the course textbook.In evaluating the ability of LLM chatbots to act like a very good TA, we sought to investigatehow the AI TA performs for different amounts of instruction / training prior to asking questions.In our tests, all chatbots are configured with temperature set to 0.3 and a maximum token size of2048.3.3.1

Conference Session

Poster Session-Electrical and Computer Engineering Division (ECE)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher Horne, North Carolina A&T State University (CoE)

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

withsports. These findings suggest the need for alternative analogies that better resonate with diversestudent backgrounds.For the solar charging station analogy, 72% of students matched all terms correctly, although someconfusion persisted. For example, 10% mistook ‘DC Source’ for the interface controller, and 15%confused ‘computer controller’ with the image of a cell phone. These findings suggest areas forrefining analogies, particularly in distinguishing components with similar terminology.A survey conducted at the end of the semester confirmed that students preferred real-worldanalogies over AI tools like ChatGPT, highlighting their value in establishing a strong conceptualfoundation and boosting confidence. Table 1 presents key survey results

Conference Session

Innovative Learning Tools and Visualizations in ECE Curriculum

Collection

2025 ASEE Annual Conference & Exposition

Authors

Raiyan Ishmam, University of Toronto; Salma Emara, University of Toronto; Hamid S Timorabadi P.Eng., University of Toronto

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

used search en-gines—primarily Google—or increasingly, LLM-based services like ChatGPT. While Googleprovides reliable but fragmented information, ChatGPT can produce more coherent, user-friendlysummaries but may occasionally “hallucinate” or fabricate content. Users relying on ChatGPTmust manually verify any suggested sources.Despite these limitations, ChatGPT still offers a valuable starting point for discovering potentiallyrelevant books, especially for non-expert users. We leveraged ChatGPT-4o to generate candidateground truth data, then applied rigorous human verification to mitigate misinformation. Our pro-cedure was as follows: • We issued arbitrary queries (main query plus one or more topics) to ChatGPT, asking it to identify

Conference Session

Modern Teaching Strategies in Engineering

Collection

2024 ASEE Annual Conference & Exposition

Authors

Dirk Joel-Luchini Colbry, Michigan State University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

students understand the importance ofexploring and using current and emerging tools as part of their lifelong education. The specifictools can vary a lot depending on individual classroom learning goals, resulting in a wide rangeof student-authored tutorials. Some examples from the author’s classes include:  Setting up ChatGPT to help write code in Jupyter notebooks.  Building and deploying your own Shiny App.  Accessing the US census API in Python.  Downloading and installing Seaborn to make more robust figures.Students are tasked with creating in-depth tutorials designed to help their peers learn to use thesoftware tools effectively. Creating successful tutorials requires that student authors bothunderstand the tools and

Conference Session

Innovative Learning Tools and Visualizations in ECE Curriculum

Collection

2025 ASEE Annual Conference & Exposition

Authors

Cyrus Habibi, University of Wisconsin - Platteville; Tina Alaei

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

of course mapping and alignment is neither challenging nor time-consumingwith the assistance of ChatGPT. By providing the course coverage, outcomes, and content,ChatGPT was able to generate units, lessons, and related assignments efficiently. However, fine-tuning is necessary to align the generated lessons and units with the specific teaching materialsand objectives of the course.Future work could focus on refining the modular approach by incorporating more interactive andhands-on activities to address feedback regarding engagement. Additionally, expanding the useof this structured alignment method across other disciplines or multi-disciplinary courses couldvalidate its broader applicability. Continuous enhancement through feedback loops

Conference Session

Community Building and Student Engagement

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ilya Mikhelson, Northwestern University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

a different approach. To go along with the stated goalof empowerment, students explore topics of their choosing in much greater detail than can bedone in class. In order to constrain the scope a little, a few choices were given for each deep dive.For example, here are the choices that were given for the second deep dive. • Build an electrocardiogram monitor using discrete op-amps. • Analyze and characterize the non-ideal properties of an op-amp. • Write code to perform backpropagation on a simple neural network. • Write a children’s book on a class topic. • Argue with ChatGPT [8] and find a fundamental misunderstanding in its response.In addition to allowing students to explore interesting topics in

Conference Session

Curricular Innovations in Computing -2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Lea Wittie, Bucknell University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

receive instant feedback about their score but do not have access to thequestion or their answer after they submit it. Students can re-attempt these exam topics infinitetimes; getting a (hopefully) different question each time.Students are free to access their notes and course materials while answering these questions andare encouraged to write and run test code as well. They are allowed to access the Internet ingeneral, however, they are forbidden from using Internet chat sites such as stackoverflow.com orquestion answering sites such as Chegg, CourseHero, or ChatGPT or from communicating withother people using any medium.Exam questions give the students 30 minutes to do problems that would typically take them 5-10minutes on a standard exam

Conference Session

Electrical and Computer Engineering Division (ECE) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kenneth A Connor, Rensselaer Polytechnic Institute; Stephen M Goodnick, Arizona State University; Michelle Klein, Electrical and Computer Engineering Dept. Heads Assoc. (ECEDHA); Barry J. Sullivan, Electrical & Computer Engineering Department Heads Assn; John C. Kelly, North Carolina A&T State University (CoE); Pamela Leigh-Mack, Virginia State University; Shiny Abraham, Seattle University; John Janowiak; Sinais Alvarado; Petru Andrei, Florida A&M University - Florida State University; Wayne A Scales, Virginia Polytechnic Institute and State University; Tymia Wilson; Yeimidy Lagunas

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

not a definitive and exhaustive list, it is a good starting point andcan be modified to suit the specific needs and context of the partnership. (Note that the rubricwas constructed with the assistance of ChatGPT. Putting a collection of related ideas into astandard format, like a rubric, is one of the tasks that AI seems to do well. We share thisinformation when we share the rubric as an incentive for potential collaborators to improve it.)Workshop PlanThe IEC has developed a broad and very challenging vision of enabling MSIs and their students,staff and faculty to more fully become part of and contribute to the ECE enterprise. To realizethis vision, this workshop brought together IEC Core MSI members with the heads of other ECEdepartments

Conference Session

Advancing Online and Hybrid Learning in Engineering Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mona ElHelbawy, University of Colorado Boulder; eric bogatin, University of Colorado Boulder

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

labs weretaking closer to 6-8 hours to complete. We revised all the future labs and reduced them each toonly two experiments per lab, so it was under 4 hours to complete, including watching the videos.In the second survey sent out, there were no reported issues with any of the labs.While the TAs graded the lab reports, we noticed in spot checking some of the reports that theywere clearly written using ChatGPT. The sentence structure was complex, filled with expressiveadjectives and while there were a lot of words, they often contained a low density of information.We sent out a warning to students that anyone using Chat GPT for the labs reports would be givena zero and no future labs would be accepted unless they convinced the staff they would

Conference Session

Enhancing Student Engagement and Support in ECE Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rohit Dua, Missouri University of Science and Technology

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

, especially in individual project implementations. Group project work (maximum of two students per group) can help lower the required amount of interaction time. Moreover, hiring a Teaching Assistant (TA) can help lower the interaction time if hiring funds are available, which can be a challenge. Of course, finding a good TA for the job is also a challenge! Continuous creativity: To keep projects challenging and minimize cheating and copying past executed projects, creating new and varied project specifications can be challenging and time consuming. This issue is especially observed in courses that are offered frequently. Threat from AI: To ensure students are not using AI tools, such as ChatGPT, to find solutions for

Conference Session

Curricular Innovations in Computing - 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yufang Jin, The University of Texas at San Antonio; Robert Applonie, The University of Texas at San Antonio; Paul E. Morton, The University of Texas at San Antonio; Mason Cole Conkel, Electrical and Computer Engineering, Klesse College of Engineering and Integrated Design, University of Texas at San Antonio; Thuy Khanh Nguyen, University of Texas at San Antonio; Chunjiang Qian, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

students might help to gainmeaningful insight from students’ viewpoints to improve the AI certificate program. Finally, thelow number of student samples and institutional and regional effects may also be considered fora complete study in the future.6. AcknowledgmentThis work was funded and supported by the National Science Foundation (#2051113) andUSDOT Transportation Consortium of the South-Central States (TRAN-SET) (# 21-034, and#21-049) to YFJ.References[1] B. D. Lund and T. Wang, "Chatting about ChatGPT: how may AI and GPT impact academia and libraries?," Library Hi Tech News, 2023.[2] R. R. Murphy, Introduction to AI robotics. MIT press, 2019.[3] K. Siau and W. Wang, "Building trust in artificial intelligence, machine learning, and

Conference Session

Assessment and Curriculum Development

Collection

2024 ASEE Annual Conference & Exposition

Authors

Saharnaz Baghdadchi, University of California, San Diego; Curt Schurgers, University of California, San Diego; Huihui Qi, University of California, San Diego; Hamad Alajeel, University of California, San Diego

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

disabilities were morelikely to prefer oral exams to written exams [4]. Finally, oral assessments may offer an additional dimension related to academic integrity.Some studies experimented with this assessment approach during the COVID-19 pandemic toimprove students’ online learning experience, specifically as it related to ensuring academicintegrity and students’ perceptions of academic fairness in the course [1], [14]. Similarconsiderations may become relevant as new technologies like chatGPT become more pervasive.Learning by teaching As an approach in which a student is asked to explain a concept, oral assessment bearssome similarity to the idea of “learning by teaching.” This concept has been studied since the1970s [15], initially for

Conference Session

Electrical and Computer Engineering Division (ECE) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kenneth A Connor, Inclusive Engineering Consortium & Rensselaer Polytechnic Institute; Mohamed F. Chouikha, Prairie View A&M University; John C. Kelly Jr., North Carolina A&T State University; Pamela Leigh-Mack, Virginia State University; Barry J. Sullivan, Electrical & Computer Engineering Department Heads Assn; Stephen M Goodnick, Arizona State University; Miguel Velez-Reyes, University of Texas at El Paso; Michelle Klein, Electrical and Computer Engineering Dept. Heads Assoc. ; Truong Nguyen, University of California, San Diego; Petru Andrei, Florida A&M University; Florida State University; Shayla Sawyer; Esther T. Ososanya, University of the District of Columbia; David Zubia, University of Texas at El Paso; Milford Muskett

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

the assistance of ChatGPT. We include this information when we share therubric as an incentive for potential collaborators to improve it.) Asset Driven Equitable Partnerships – ADEP in Practice (WIP)References [1] Connor, K. A., & Goodnick, S. M., & Klein, M., & Sullivan, B. J., & Kelly, J. C., & Leigh-Mack, P., & Abraham, S., & Janowiak, J., & Alvarado, S., & Andrei, P., & Scales, W. A., & Wilson, T., & Lagunas, Y. (2023, June), Board 78: ADEP: Asset-Driven Equitable Partnerships (WIP) Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1- 2—42939 [2] National Academies of Sciences, Engineering

Conference Session

Poster Session-Electrical and Computer Engineering Division (ECE)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Md Sakib Ullah Sourav, Concordia University; Yong Zeng, Concordia University; Hua Ge, Concordia University; Ali Akgunduz, Concordia University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)