Conference Session

AI and Tools for Transdisciplinary Work

Collection

2024 ASEE Annual Conference & Exposition

Authors

Craig J. Gunn, Michigan State University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

investigate metaphorical language or uniqueways to describe technical concepts. This can add depth and layers to their poems that they maynot have tried before.This year as a work in progress we decided to try a new path for the students to follow. Theybegan with the instruction to NOT use ChatGPT or any other AI to write their poems. They hadto create what they could and hand it in. The next step was to take that work and put it inChatGPT and create three more versions of their original work. In this paper we explore the useof ChatGPT to not create required work but to show that as a tool ChatGPT opens up the doorsof new forms of creativity, student evaluation of their own work in comparison to the added toolof ChatGPT, and the avenues that a

Conference Session

DSA Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Duncan Davis, Northeastern University; Nicole Alexandra Batrouny, Northeastern Univeristy; Adetoun Yeaman, Northeastern University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

Paper ID #41739Unfettered ChatGPT Access in First-Year Engineering: Student Usage &PerceptionsDr. Duncan Davis, Northeastern University Duncan Davis is an Associate Teaching Professor in First Year Engineering. His research focuses on using gamification to convey course content in first year classes. He is particularly interested in using the construction of Escape Rooms to teach Engineering Principles.Dr. Nicole Alexandra Batrouny, Northeastern Univeristy Nicole Batrouny is an Assistant Teaching Professor in First Year Engineering at Northeastern University. Her engineering education research interests include the

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

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

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

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Abdullah Konak, Pennsylvania State University, Berks Campus; Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus

Tagged Topics

Diversity, Professional Papers

ensuredcomprehensive coverage of the themes emerging from the interviews.Thematic Synthesis: The final phase involved aggregating the identified codes to generateoverarching themes. Two research team members followed the constant comparative method [5],which involved iterative comparison of data, codes, and emerging themes to ensure theoreticalsaturation and conceptual clarity. Figure 2 illustrates the extracted themes from the codes. Figure 1 Frequency of human-generated codesFigure 2 Reference frequency of human-generated themes. Multiple codes can reference a transcript file.AI Analytical ProcessIntegrating Large Language Models (LLMs) like ChatGPT into qualitative text

Conference Session

Design in Engineering Education Division (DEED) - Use of Technology in Design Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Can Uysalel, University of California, San Diego ; Zachary Fox, University of California, San Diego; Maziar Ghazinejad, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

at the forefront of STEM education experiencing the first tides of thischange. An example of such a trend is the course Design of Machine Elements, a mainstay ofMechanical and Aerospace Engineering (MAE) curricula, which embodies many algorithms thatintegrate a combination of scientific topics and industry protocols. In this work in progress, weassigned a class of 62 MAE machine design students to write computer codes that implementseveral required inputs to generate design parameters for shafts used for specific powertransmission parameters. The students were also asked to explore the applicability of an openartificial intelligence interface, such as ChatGPT, to help develop a multi-step design code. Aftergenerating and verifying the AI

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

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

Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College; Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College

Tagged Topics

Diversity

formulas and functionmodules that facilitate the calculation of various arithmetic operations. The use of mobile phonesintroduced AI tools such as touchscreen features to enhance the speed of working with differentaspects of communications. Now the students can have access to the lessons posted online by theProfessors on various “Learning Management Systems” platforms.Engineering education is a constantly changing field that strives to sustain the latesttechnological advancements and meet the changing needs of the engineering industry. Oneexciting development in the field of engineering education is the use of generative artificialintelligence technology, such as ChatGPT developed by the OpenAI Corporation.AI tools used by studentsAI tools used by

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Carnegie Mellon University; Eesha tur razia babar, University of California, Irvine; Muhsin Menekse, Purdue University, West Lafayette; Ali Alhaddad, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Comparative Analysis of Large Language Models and NLP Algorithms to enhance Student Reflection SummariesAbstractThe advent of state-of-the-art large language models has led to remarkable progress incondensing enormous amounts of information into concise and coherent summaries, benefitingfields like education, health, and public policy, etc. This study contributes to the current effort byinvestigating two NLP approaches’ effectiveness in summarizing students’ reflection text. Thisapproach includes Natural Language Processing (NLP) algorithms customized for summarizingstudents’ reflections and ChatGPT, a state-of-the-art large language model. To conduct the study,we used the CourseMIRROR application to collect students’ reflections from

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Fazil T. Najafi, University of Florida; Vani Ruchika Pabba, University of Florida; Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College; Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College

Tagged Topics

Diversity, Professional Papers

research-based assignments has been exploredless. This study investigates the efficiency and fairness of using AI, specifically ChatGPT, tograde theoretical understanding and research paper assignments in undergraduate and graduatecourses. The research was conducted in two phases. In the first phase, we assessed ChatGPT'sperformance in grading assignments, focusing on time efficiency, consistency, and gradingpatterns. We compared AI-assisted grading with traditional human grading methods in thesecond phase. We then analyzed variations in scores, potential biases, and feedback'sperceived usefulness. We conducted surveys to gather perceptions from both students andeducators regarding AI-based grading.The results indicated that AI-assisted grading

Conference Session

Software Engineering Division (SWED) Technical Session #2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ben Arie Tanay, Purdue Engineering Education; Lexy Chiwete Arinze, Purdue University, West Lafayette; Siddhant Sanjay Joshi, Purdue University, West Lafayette; Kirsten A. Davis, Purdue University, West Lafayette; James C Davis, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Software Engineering Division (SWED)

) have begun to influence software engineeringpractice since the public release of GitHub's Copilot and OpenAI's ChatGPT in 2022. Tools builton LLM technology could revolutionize the way software engineering is practiced, offeringinteractive “assistants” that can answer questions and prototype software. It falls to softwareengineering educators to teach future software engineers how to use such tools well, byincorporating them into their pedagogy.While some institutions have banned ChatGPT, other institutions have opted to issue guidelinesfor its use. Additionally, researchers have proposed strategies to address potential issues in theeducational and professional use of LLMs. As of yet, there have been few studies that report onthe use of LLMs

Collection

2025 ASEE PSW Conference

Authors

Siyuan Meng, University of Southern California

Tagged Topics

Diversity

support all students, with particular attention to hearing-impaired learners inAME308: Computer-Aided Design (CAD). Hearing-impaired students received standard OSASaccommodations, including 1.5x extended time for homework/exams and direct TA support,while AI tools were adopted to address pedagogical gaps. The course’s dynamic nature—evolvingthrough student interactions—rendered traditional notes inadequate. To bridge this gap, lecturerecordings and AI-generated summaries (created using ChatGPT) were provided to all students,benefiting those with hearing impairments, temporary absences, or diverse learning needs.The approach leveraged ChatGPT to transform Zoom subtitles and lecture materials intostructured previews, reviewed by TAs for accuracy

Collection

2024 South East Section Meeting

Authors

Stephen Strain, University of Memphis; Andrew Blass Watson, The University of Memphis; Matthew Hale, The University of Memphis

Tagged Topics

Diversity

proactively navigating challenges.[Note: We asked ChatGPT to compose a conclusion to this paper. Below is its response,unaltered, with which we thoroughly agree.]Looking ahead, the dynamic landscape of Artificial Intelligence (AI) in education demandscontinuous exploration and adaptation. Future research should focus on developing robustframeworks for AI integration that balance technological advancement with ethicalconsiderations. This includes creating guidelines that prevent academic dishonesty whileencouraging innovative uses of AI. Furthermore, there is a need for longitudinal studies to assessthe long-term impacts of AI on learning outcomes, critical thinking, and problem-solving skills.Educational institutions must also consider the evolving

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Boundaries of Engineering Education.AbstractGenerative artificial intelligence (GAI) has long been used across various fields; however, itsusage in engineering education has been limited. Some areas where GAI tools have beenimplemented in education include intelligent tutoring, assessment, predicting, curriculum design,and personalized student learning. The recent proliferation of CHATGPT and other GAI toolspresents limitless possibilities for transforming engineering pedagogy and assessment. At thesame time, there are challenges associated with implementation. Consequently, there is a need toconduct an empirical study to evaluate these tools' strengths, limitations, and challenges tohighlight potential opportunities for their application in

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Bradley J. Sottile, The Pennsylvania State University

Tagged Topics

Diversity

theme of the third proposed question group is intended to examine student, faculty,and stakeholder views on ChatGPT and artificial intelligence text or image generators. ChatGPThas caused disruption already for educational practice. Faculty across the country haveconsidered the question of how they might restructure their courses to reduce ChatGPT’s impacton educational quality (Huang, 2023). Recently, Kung et al. (2022) examined the use ofChatGPT to take medical licensing exams – and ChatGPT did surprisingly well on the exams.Whether ChatGPT can be considered a paper author for scientific work has even become adebatable proposition (Stokel-Walker, 2023). If one carefully considers the reference list for theinstant paper, they will discover

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Adeel Khalid, Kennesaw State University; Sanjeev Adhikari, Kennesaw State University

Tagged Topics

Diversity

Tagged Divisions

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

Engineering Education, 2025 Educators’ Perspectives on the use of Generative AI Tools in Teaching and Educational Research in EngineeringAbstractSince the release of ChatGPT by OpenAI in November 2022, the integration of generative AI(genAI) into teaching and education has gained significant attention and experienced rapid growthwithin university engineering programs. This paper investigates the application of genAI inengineering education and research, focusing on the potential benefits and challenges of itsadoption. Specifically, the study: A) Analyzes how educators and students perceive and utilizegenAI and ChatGPT in engineering education; B) Explores the advantages, challenges, andlimitations associated with these technologies

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tammy Mackenzie, The Aula Fellowship; Lisa D. McNair, Virginia Tech; Rubaina Khan, University of Toronto; Animesh Paul, University of Georgia; Sreyoshi Bhaduri, Private Corporation

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

designs in mechanical engineering [65], making ethical choices during prototypingin time-sensitive situations such as hackathons [66], and learning disciplinary skills needed fordesign projects through personalized learning [67]. Lastly, a handful of papers explore howGenAI tools can give timely, relevant, and epistemic feedback during design. One exampleis the use of ChatGPT to analyze progress reports, instrumental to team collaborations, byrecommending readability improvements and clarifying complex ideas [68].3.3 PositionsOur review found 33 position papers revealing diverse viewpoints on its integration, eth-ical considerations, and potential applications of GenAI in EE. Specifically, these papersare where authors argue their stance on or

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Harrison Zimmerman Brown, Worcester Polytechnic Institute; Reza Ebadi, Worcester Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

ThermodynamicsAbstractGenerative artificial intelligence (GenAI) has become ubiquitous. Convincing languagecomplemented by constant modifications and upgrades have made GenAI models, such asOpenAI’s ChatGPT, an appealing tool to address complex problems. According to a survey byIntelligent.com nearly a third of college students in AY 2022-2023 used ChatGPT for schoolworkand 77.4% of them were likely to recommend using it to study to another student. Despite theirappeal, these models have proven flawed in answering technical prompts. Their convincinglanguage may entice the user to trust the responses without verifying them. For example, theauthors failed to retrieve accurate thermodynamics properties of some common substances fromthree publicly available models (OpenAI’s

Conference Session

Generative AI and Its Role in Industrial Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

THOMAS AMING'A OMWANDO, Simpson University; Adel Alhalawani, Rose-Hulman Institute of Technology; Ashutosh Khandha, University of Delaware; Bhavana Kotla, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IED)

Biomechanics, Medical Devices, Clinical Imaging and Bioinstrumentation.Dr. Bhavana Kotla, The Ohio State University Visiting Assistant Professor, Department of Engineering Education, College of Engineering, The Ohio State University ©American Society for Engineering Education, 2025 Assessing the Impact of Generative AI in Developing and Using Grading Rubrics for Engineering CoursesAbstractEngineering education is rapidly integrating generative artificial-intelligence (GenAI) tools thatpromise faster, more consistent assessment—yet their reliability in discipline-specific contextsremains uncertain. This mixed-methods study compared ChatGPT-4, Claude 3.5, and PerplexityAI across

Collection

2023 Fall Mid Atlantic Conference: Meeting our students where they are and getting them where they need to be

Authors

Abdullah Konak, Pennsylvania State University, Berks Campus; Christian Jay St. Francis Clarke, Penn State University

Tagged Topics

Diversity

brings undeniable benefits to the educational landscape, instructorsexpress significant concerns. They worry not only about the potential suppression of students'critical thinking skills but also about the risk that students might rush through the foundationalcoding concepts crucial for becoming effective professionals in the field.This literature review seeks to provide insight into the landscape of critical Thinking in thecontext of ChatGPT, highlighting the unique opportunities and challenges this partnershippresents in the context of computer science classes. This paper employs the SWOT analysisstrategy to deconstruct the various aspects of Chat GPT's interaction with computer students,with a particular focus on its impact on their critical

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahatsham Hayat, University of Nebraska, Lincoln; Sharif Wayne Akil, University of Nebraska, Lincoln; Helen Martinez, University of Nebraska, Lincoln; Bilal Khan, Lehigh University; Mohammad Rashedul Hasan, University of Nebraska, Lincoln

Tagged Topics

Diversity, NSF Grantees Poster Session

ChatGPT and Google’s Gemini, for the early prediction of studentperformance in STEM education, circumventing the need for extensive data collection orspecialized model training. Utilizing the intrinsic capabilities of these pre-trained LLMs, wedevelop a cost-efficient, training-free strategy for forecasting end-of-semester outcomes based oninitial academic indicators. Our research investigates the efficacy of these LLMs in zero-shotlearning scenarios, focusing on their ability to forecast academic outcomes from minimal input.By incorporating diverse data elements, including students’ background, cognitive, andnon-cognitive factors, we aim to enhance the models’ zero-shot forecasting accuracy. Ourempirical studies on data from first-year college

Conference Session

Computers in Education Division (COED) Track 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shana Shaw, Texas A&M University; L. Taylor Starr, Texas A&M University; laila badran, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

[4]. In2024, more research is available for AI in education and industry, including as a virtual assistantusing AI as a prompting tool [14], and as a development bot to enhance software design [18].With the popularity of ChatGPT increasing, from one million users in the first week during thelaunch in 2022, to more than 200 million weekly users in late 2024 [16], the usage of ChatGPTin college engineering courses is expected to follow a significant increase soon. Using AI in the engineering classroom has been seen to offer both advantages anddisadvantages. Students saw an increased confidence in decision-making, critical thinking andproblem-solving skills using AI tools, which may help develop professional skills [14]; however,the

Conference Session

Generative AI and Its Role in Industrial Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadiye O. Erdil, University of New Haven

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IED)

discussions in higher educationincluding its potential uses in and beyond the classroom. Initially, the focus was primarily onpreventing students from using generative AI tools, but attention is now shifting towardintegrating these tools into teaching and learning [1]. Many educators are exploring ways toincorporate generative AI into instruction [2].Students are often assumed to be tech-savvy [3]. With the widespread use of tools like ChatGPT,they may also be perceived as competent users of generative AI. However, effectively using AIfor learning requires more than just basic digital literacy, which can impact both the learningexperience and its benefit. Therefore, studying students’ interactions with AI is important, as thefindings will shape how

Conference Session

Principal Skinner's Secrets: Cultivating STEM in Remote Locations, Steamed Hams!

Collection

2024 ASEE Annual Conference & Exposition

Authors

Monsuru O Ramoni, Navajo Technical University; Calsey T Nez, Navajo Technical University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

, 2022, and 2023. A total of 78 students and 3 teachers participated in the program during thistime period.Each team of students submits a project report at the end of the spring semester as part of the programrequirements.3.3 Data Collection Instrument(s)For this study, a total of 10 reports were randomly selected from the participants' submissions. Thesereports were analyzed using Open ChatGPT to explore the students' experiences in the Dual-CreditEngineering program.Open ChatGPT was utilized to conduct a thematic analysis of the reports. Each report was inputted intoOpen ChatGPT, which generated codes based on its content. These codes were then combined to formoverall themes across all 10 reports.The procedure for thematic analysis with Open

Conference Session

Unique Pedagogies for Mechanics Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Marguerite Matherne, Northeastern University

Tagged Topics

Diversity

Tagged Divisions

Mechanics Division (MECHS)

objectives on theunderstand level of Bloom’s taxonomy and multiple-choice questions for learning objectives onthe analyze level are shown to moderately achieve this goal. The feedback loop between studentsand instructor was instrumental in determining how to best use class time to support studentlearning. Recommendations for best practices, including how ChatGPT can be leveraged toquickly summarize student responses, based on the instructor’s experience and student feedback,are given.IntroductionStudies have shown that students who read assigned textbook sections before coming to classfind it beneficial for their learning. They have also shown that today’s engineering studentsrarely read the textbook [1]. Just-In-Time-Teaching (JiTT) is a pedagogy

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Angela Lai, Tufts University; Kavon Karrobi, Boston University

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

their writing in sustained or long-term writing projects[13, 14]. Due to thismodule, the majority of students were optimistic towards using AI in future assignments forwriting. However, students who use ChatGPT to write tend to run into common pitfalls such asambiguous writing, bias reinforcement, and “hallucinations”[15]. This shift reflects the need toprovide clear guidance on appropriate AI usage in educational settings. This work highlights thegrowing recognition that fostering AI literacy is a crucial educational practice in modernclassrooms.To investigate the ways students respond to AI literacy efforts and how they may change theiruse of genAI in these situations, we introduce structured usage of AI in one lecture to increase AIliteracy

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