Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kurt M. Degoede, Elizabethtown College; Brenda Read-Daily, Elizabethtown College; Rachel Koh, Smith College

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

the Likert scale was computedfor each student with items 1, 3, 5, and 7 reverse-coded to produce a single Failure Mindsetassessment measure [8].We included all eight questions although previous studies omitted the health and vitality questions(questions 2 and 5) when applying to failure [4, 8]. We included these questions in the survey, butas detailed in the Discussion, we did not use these questions in the primary data analysis.In the end-of-semester survey, we also asked the students the following two open-endedquestions: 1. How would you define a healthy mindset toward failure? 2. How has this semester changed your Failure Mindset, positively or negatively?The responses were thematically grouped using ChatGPT, by supplying the full set

Conference Session

Environmental Engineering Division (ENVIRON) Technical Session 4 - Engineering for One Planet & Sustainability Innovation

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cindy Cooper, The Lemelson Foundation; Cynthia Anderson, Alula Consulting; Lynn A. Albers, Hofstra University; John K. Estell, Ohio Northern University; Micah Lande, South Dakota School of Mines and Technology; Bala Maheswaran, Northeastern University

Tagged Topics

Diversity

Tagged Divisions

Environmental Engineering Division (ENVIRON)

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

Graduate Studies Division (GSD) Technical Session 5: Skill Development in Graduate Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University

Tagged Divisions

Graduate Studies Division (GSD)

but does not include any evaluation of how useful this technique is. 3. Moldonado et al.[22] describe a technique of testing comprehension using Large Language Models (LLMs) such as ChatGPT and a tool they created to quiz a student’s understanding of a paper. This technique appears to be very promising for evaluating comprehension, but they have not completely verified their method and formalized a methodology.Each of these approaches can be orthogonally applied to our case-based intervention, and theReaderQuiz technique (once validated) would help us evaluate our approach as opposed to ourproposed technique. Our approach focuses on how to teach the reading of papers, and we brieflylook at both reading groups and systematic

Conference Session

Educational Research and Methods Division (ERM) Technical Session 26

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sushant Makarand Padhye, University of Cincinnati; David Reeping, University of Cincinnati; Nahal Rashedi , University of Cincinnati

Tagged Divisions

Educational Research and Methods Division (ERM)

reasonably accuratecategorizations. These minor errors were subsequently corrected by hand. Since there were overone thousand unique names and a smaller window width was necessary to control unintendederrors, there needed to be a workflow in the form of a loop, as shown in Figure 5.Figure 5. Workflow for ChatGPT API UsageBecause of the large scale of the dataset and the number of course names, we found it better toperform the categorization in two steps. First, we used the API to sort all the course names intogeneral categories like the sciences (math, physics, chemistry, and biology) and engineering(general engineering, mechanical, civil, electrical, and chemical engineering). We then usedparticular categories to sort them into specific types of

Conference Session

Cooperative and Experiential Education Division (CEED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Grace Lynn Baldwin Kan-uge; Carol S. Stwalley, Purdue University ; Robert Merton Stwalley III P.E., Purdue University

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

)-powered transcription software by Descript, Inc(San Francisco, California) was used to edit and compose the interviews with former students.An Artificial Intelligence (AI)-powered large language model software, ChatGPT, by Microsoft,Incorporated (Redmond, Washington) was used to aid in the organization of this effort, but allmanuscript elements are original from the authors. Any errors are entirely the result of theauthors. The mention of trade names or commercial products in this article is solely for thepurpose of providing specific technical information and does not imply recommendation orendorsement by Purdue University. The findings and conclusions in this publication are those ofthe authors, and they should not be construed to represent any

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Grace Lynn Baldwin Kan-uge; Carol S Stwalley P.E., Purdue University, West Lafayette; Robert Merton Stwalley III P.E., Purdue University, West Lafayette

Tagged Topics

NSF Grantees Poster Session

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ioana A. Badara, Post University; Buket D. Barkana, The University of Akron; Deana A. DiLuggo, University of Bridgeport

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

they can right away see being applied through concepts ofsimple Calculus and Python programming.Deep Convolution-based networks with the Triplet loss were quite successful (e.g., FaceNet) inface recognition, resulting in greater than 99% accuracy on benchmarks such as LFW. With therecent success of transformer-based Natural Language Processing architectures (e.g., ChatGPT),transformers have been attempted in Computer Vision applications. They have shown considerablesuccess with better computational efficiency than CNN-based architectures. In this project, wecompared the FaceNet and transformer-based architecture for face recognition. We also providedan insightful understanding of the face recognition process, its limitations, and future

Conference Session

Strategies and/or Approaches to Engage Students in Agricultural, Biological, or Similarly Named Programs

Collection

2024 ASEE Annual Conference & Exposition

Authors

Robert Merton Stwalley III P.E., Purdue University ; Roger L. Tormoehlen, Purdue University

Tagged Divisions

Biological and Agricultural Engineering Division (BAE)

-Agricultural Mechatronics in High School Agricultural Classrooms’). The Purdue Agricultural &Biological Engineering department has also graciously helped provide backing for this project.Additionally, thanks are due to the employees of Agricultural & Biological Engineering andAgricultural Science Education and Communication departments at Purdue University for theirsupport in providing space and resources for this project. Dr. Sarah E. LaRose of the AgriculturalSciences Education and Communication department is specifically thanked for her discussionand reference on the employment situation in the secondary education agricultural teachermarket. An Artificial Intelligence (AI)-powered large language model software, ChatGPT, byMicrosoft

Conference Session

Voices of Diversity: Perspectives and Experiences in STEM Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Claire MacDonald, The University of Texas at El Paso; Palvi Aggarwal, The University of Texas at El Paso; Xiwei Wang, Northeastern Illinois University; Yun Wan; Shebuti Rayana, The State University of New York at Old Westbury; Rudy Caraballo; Sherrene Bogle, Cal Poly Humboldt

Tagged Divisions

Minorities in Engineering Division(MIND)

towards chatGPT from social media platforms.Rudy CaraballoDr. Sherrene Bogle, Cal Poly Humboldt Dr. Sherrene Bogle is a Fulbright Scholar and alumna of the University of Georgia, USA, where she earned her PhD in Computer Science. She is currently an Associate Professor of Computer Science and Program Lead for the BS Software Engineering at Cal Poly Humboldt. Dr. Bogle has a passion for sharing and helping students to improve the quality of their lives through education, motivation and technology. She has published two book chapters, two journal articles and several peer reviewed conference papers in the areas of Machine Learning, Time Series Predictions, Predictive Analytics, Multimedia in Education and E-Learning

Conference Session

College Industry Partnerships Division (CIP) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Chun Kit Chan, The University of Hong Kong; H.H. Cheung, University of Hong Kong; Match Ko, University of Hong Kong; Chun Kit Chui, University of Hong Kong; LEI YANG, The University of Hong Kong

Tagged Topics

Diversity

Tagged Divisions

College Industry Partnerships Division (CIP)

University of Hong Kong, "InnoShow," in Tam Wing Fan Innovation Wing 2023. [Online]. Available: https://innoacademy.engg.hku.hk/innoshow/[24] Innovation Academy, Faculty of Engineering, the University of Hong Kong, "From Ground to Air," in Tam Wing Fan Innovation Wing 2023. [Online]. Available: https://innoacademy.engg.hku.hk/20231106_workshop/[25] Innovation Academy, Faculty of Engineering, the University of Hong Kong, "Build Your IoT Smark Clock," in Tam Wing Fan Innovation Wing 2023. [Online]. Available: https://innoacademy.engg.hku.hk/iotclock/[26] Innovation Academy, Faculty of Engineering, the University of Hong Kong, "Unleash Creativity with Generative AI through Open AI Engine and ChatGPT - Build Your Personalized

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

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Arianna Gabriella Tobias, University of Oklahoma; Javeed Kittur, University of Oklahoma; Khondhaker Al Momin, University of Oklahoma; Tahrima Rouf, University of Oklahoma; Arif Mohaimin Sadri, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

importance of socialmedia in engineering education, highlighting its potential as a versatile tool for enhancing teachingand learning processes. The insights obtained lay the groundwork for further exploration anddevelopment in this rapidly evolving field.ReferencesThe articles included in the final review stage are marked with an asterisk (*). [1] M. Kaplan and M. Haenlein, “Users of the world, unite! The challenges and opportunities of Social Media,” Business Horizons, vol. 53, no. 1, pp. 59–68, Jan. 2010, doi: 10.1016/j.bushor.2009.09.003. [2] J. Qadir, “Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education,” in 2023 IEEE Global Engineering Education Conference

Conference Session

Faculty Development Division (FDD) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jacob Michael Elmasry, The University of Sydney

Tagged Divisions

Faculty Development Division (FDD)

student to experience something from adifferent perspective. Similarly, Generative AI such as ChatGPT could be used to get studentsto interact with and learn from a database in a more natural and engaging way.Teaching Practice 3: Share person-centred stories – As Benlamine et al. discovered [11]pathos was the most effective way of convincing others to change their opinions. Engineeringeducators can learn from this by attempting to invoke pathos in their students when teaching.For many engineering topics, this can take the form of real or fictional stories of peopleinteracting with Engineering designs and concepts. These case studies and stories are alreadyrelatively common in some areas such as the teaching of Ethics [27], but this can beexpanded

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Stephanie Jill Lunn, Florida International University; Edward Dillon, Morgan State University; Zubayer Ahmed Sadid, Florida International University

Tagged Divisions

Computing and Information Technology Division (CIT)

awareness of the process. As one educatordetailed: I know, one of the complaints my students have about the technical interviews is that if we are coding in real life, we can just look stuff up, and so they don’t like the being put on the spot-ness of it. I mean, I don’t know how to incorporate that because I was trying to tell them, we’re talking about like, ChatGPT and how AI is taking jobs and things like that. And I was like, ‘People while you can still put things out, people still have to know that you have that thinking process, that critical thinking process. So that’s why these technical interviews are important and necessary.’ And some of them were like, ‘Oh okay, I get it, I see it.’ But yeah

Conference Session

Engineering Technology Division Curriculum Development

Collection

2024 ASEE Annual Conference & Exposition

Authors

Brian Khoa Ngac, George Mason University; Mihai Boicu, George Mason University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Marino Nader, University of Central Florida; Michelle Taub, University of Central Florida; Sierra Outerbridge, University of Central Florida; Harrison N. Oonge, University of Central Florida; Hyoung Jin Cho, University of Central Florida

Tagged Divisions

Educational Research and Methods Division (ERM)

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Corey T Schimpf, University at Buffalo, The State University of New York; Shanna R. Daly, University of Michigan; Leslie Bondaryk, The Concord Consortium; Jutshi Agarwal, University at Buffalo, The State University of New York; Carolyn S Giroux; Stephanie L. Harmon, PIMSER, Eastern Kentucky University; Enqiao (Annie) Fan, University at Buffalo, The State University of New York; Jacqueline Handley, Purdue University, West Lafayette; A Lynn Stephens, The Concord Consortium

Tagged Topics

NSF Grantees Poster Session

of AI techniques and methods toward supporting learning or educational goals.There is a long history of AI being used to support learners from intelligent tutoring systems that trackstudents learning through series of problems and provide custom problem delivery and supports[31], [32],[33] to the more recent use of large-language model, such as ChatGPT, to generate content or support forstudents (e.g., [34]).While AI has been used extensively in some education areas such as math [35], [36], [37] and science[38], [39], it has been used relatively less in design education. Most of the work that does focus on usingAI to support design education tends to examine highly constrained design problems, such as the designof a gear or shaft (e.g., see