Conference Session

The Real World-Project-Based & Experiential Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Seamus F Freyne P.E., Mississippi State University

Tagged Divisions

Civil Engineering Division (CIVIL)

interview. Students avoidedquestions of an unduly personal or confidential nature. Students were cautioned totread lightly on controversial subjects. Interviewees could pass on any of thequestions.Though not always possible to place precisely into categories, the questionsaddressed education, job expectations and perks, project challenges and successes,future directions, ethics, and general advice. Questions sometimes crossed theboundaries between categories. Likewise, the responses could swerve into multiplecategories, stream of consciousness style.The first seven questions common to all interviews, in most implementations of 10Q,were as follows. 1. Where do you work, how many years of experience do you have in this job, and what do you

Conference Session

AI in the Engineering Management Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Edwin R Addison, North Carolina State University at Raleigh

Tagged Topics

Diversity

Tagged Divisions

Engineering Management Division (EMD)

testament to the transformative potential of education—notonly in shaping individual careers, but also in advancing industries and influencing society atlarge.References 1. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. This article discusses how businesses implement AI successfully and emphasizes managerial decision-making, similar to the focus of the course. 2. Raj, P., & Swami, S. N. (2020). Artificial intelligence and machine learning for business: A no-nonsense guide to data-driven technologies. Springer. This book provides a managerial perspective on AI technologies, making it relevant to your course’s emphasis on non-technical AI

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Opeyemi Peter Ojajuni, Southern University and A&M College; Yasser Ismail, Southern University and A&M College; Fareed Dawan, Southern University and Agricultural & Mechanical College; Albertha Hilton Lawson, Southern University and A&M College; brian Warren, Southern University and Agricultural & Mechanical College

Tagged Topics

Diversity, NSF Grantees Poster Session

fosteringinteractive, engaging educational environments. Funded by the National Science Foundation(NSF grant #1915520), this study aligns with NSF’s goal of strengthening the nation’s additivemanufacturing engineering workforce. It provides valuable insights into the integration of VR inengineering education, emphasizing the importance of VR systems and balanced instructionaldesign.Background and Motivation Recent technological advancements have made Virtual Reality (VR), particularly ComputerAutomatic Virtual Environment (CAVE) systems, increasingly accessible and effective aseducational tools, offering transformative potential for traditional teaching methods [1], [2], [3],[4]. These immersive systems address key challenges in engineering education

Conference Session

ME Division 6: Innovative Simulation and Extended Reality Techniques

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alex C. Szatmary, Hexagon

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

domain (e.g., FEA or CFD) or within a course onmathematical methods in engineering (e.g., using Matlab to solve differential equations). Thus,some assume that simulation can only be used late in the curriculum, after differential equations,computer programming, and engineering science courses. However, this paper cites numerousexamples of simulation being used earlier in the curriculum as a digital lab and in quantitativedesign exercises.Although there are few papers that discuss the general use of simulation in engineeringeducation, Whiteman and Nygren offer a rich overview of use of numerical software inengineering curriculum [1]; despite having written more than 20 years ago, they anticipated keypedagogical factors to consider. We summarize

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Iowa State University of Science and Technology; Jason Coleman, Kansas State University; Lis Pankl, Mississippi State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

appropriate use of AI. Wehave discussed these procedures and shared topics of mutual interest in passive conversation, soin some ways individual institutional policies were informed by decisions being made at theirsister institutions. Based upon these mutual interests, this paper is being assembled to compareand contrast directions being made and to share lessons learned and best practices with theengineering education community as a whole. Furthermore, institutions who are developing,revising and/or refining their AI policies may find the information contained within this article ofinterest.Artificial Intelligence (AI) is impacting daily life, especially within higher education. Facultyworry about the likelihood of student cheating [1] and have seen

Conference Session

Engineering and Public Policy Division (EPP) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Huiming Fan, East China University of Science and Technology; Lan Yu, East China University of Science and Technology

Tagged Divisions

Engineering and Public Policy Division (EPP)

coherent and complete content structure forthis study. Additionally, this paper adopts a case study approach, presenting thewell-established practices of certain universities in a concise yet comprehensive caseformat to help readers better understand specific aspects of practical implementation. Through the educational practices of these universities, this study aims tosummarize the practices and reforms related to the digital transformation ofengineering education in Chinese universities, identify common challenges, andpropose several policy recommendations. Figure 1 The framework of the paper2 Background of digital transformation of engineering education in China2.1 Digital economy Since the 1940s, the

Conference Session

Engineering Libraries Division (ELD) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Patricia Verdines, The Ohio State University

Tagged Divisions

Engineering Libraries Division (ELD)

BioDesign Process inBiomedical Engineering [34] or the Agile Project Management Approach [35] in Electrical andComputing Engineering. Future research related to this study will include Faculty and studentperspectives on the nature of successful Capstone Projects, as well.References[1] H.F. Hoffman, The engineering capstone course: Fundamentals for students and instructors. NY: Springer, 2014. DOI 10.1007/978-3-319-05897-9[2] C.J. Mettler, Engineering design: A survival guide to Senior Capstone. NY: Springer, 2023. DOI 10.1007/978-3-031-23309-8[3] B. Nassersharif, Engineering capstone design. London: Taylor & Francis Group, 2022. DOI 10.1201/9781003108214.[4] Y. Ma and Y. Rong, Senior design projects in

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael W. Thompson, Baylor University; Anne Marie Spence, Baylor University; Nathan F Alleman, Baylor University; William A Booth, Baylor University; Sarah E Madsen, Baylor University; Taylor Wilby, United States Military Academy; Pacey Ham Mitchell, Baylor University

Tagged Topics

Diversity, NSF Grantees Poster Session

technological tools toeffectively support student success.Building on these insights and to address the issues raised in the first years of the program [1],we developed a proof-of-concept system that leveraged Qualtrics and generative AI to trackattendance and engagement. This system demonstrates the potential for AI to help overcomecommon barriers in data collection and analysis, illustrating a promising next step in simplifyingworkflows and enabling real-time insights. By integrating secure API calls and maintainingcompliance with privacy regulations like FERPA, the system prioritized data security andstreamlined a key process that could be used to identify potential student needs. This automatedattendance system is capable of consolidating survey

Conference Session

PCEE Instructional Showcases

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tamara J Moore, Purdue University at West Lafayette (PWL) (COE); Siddika Selcen Guzey, Purdue University at West Lafayette (PWL) (COE); Greg J Strimel, Purdue University at West Lafayette (PPI); Morgan M Hynes, Purdue University at West Lafayette (COE); Kerrie A Douglas, Purdue University – West Lafayette (College of Engineering); Molly H Goldstein, University of Illinois Urbana-Champaign; Rick Hill, University of Detroit Mercy; Imani Adams, Purdue University – West Lafayette (College of Engineering); Vanessa Blas, University of Illinois at Urbana - Champaign; Victoria Constantine, Purdue University at West Lafayette (COE); Emily M. Haluschak, Purdue University at West Lafayette (COE); Rachel E. Higbee, Purdue University – West Lafayette (College of Engineering); Joshua E. Katz, University of Illinois at Urbana - Champaign; Maxwell Lee Beach, University of Illinois Urbana-Champaign; Deana Lucas, Purdue University at West Lafayette (COE); Christine H. McDonnell, Purdue University at West Lafayette (PWL) (COE); Azizi Penn, Purdue Engineering Education; Brian Povilus, University of Illinois at Urbana - Champaign; Bruce Wellman, Purdue University at West Lafayette (COE); Tugba Abanoz, Visiting Scholar to Purdue University at West Lafayette (COE), Ankara University Faculty of Educational Sciences; JaKobi Burton, Purdue University – West Lafayette (College of Engineering); Anne DeLion, Purdue Engineering Education; Jennifer Heap, Purdue Engineering Education; Rena Ann Sterrett, Purdue Engineering Education

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

; Formative • Opportunities for evidence of understanding Assessment through performance tasks Moore, T. J., Guzey, S. S., Hynes, M. M., Douglas, K. A., & Strimel, G. J. (2024). Microelectronics Integration Curriculum Development Framework. https://nanohub.org/resources/39164 SCALE K-12 Curriculum 1 Trekking Through the Periodic Table (8th – 10th, Science) ME Fuse: semiconductors, materials used in microchips, circuits using breadboards and

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Diana Samaroo, City University of New York - New York City College of Technology; Urmi Duttagupta, New York City College of Technology, City University of New York; Nadia S Kennedy, New York City College of Technology; Armando Dominguez Solis, New York City College of Technology, The City University of New York; Viviana Acquaviva, New York City College of Technology

Tagged Topics

Diversity, NSF Grantees Poster Session

would like to express our deep gratitude to Dr. SwatiNeogi, Mr. Yash Verma, Mr. Akash Kumar Burolia, and Mr. Rohan M. Jadhav and IndianInstitute of Technology, Kharagpur, India for their exceptional hospitality and dedicated effortsin providing our S-STEM fellows with invaluable study and research experiences. We areparticularly grateful for the mentorship offered on the following research projects:1. A mathematical model to assess aerogel's thermal conductivity and thermal performance - a key component of the multi-layer insulation system, mentored by Mr. Yash Verma.2. Determining the “order” in which different laminate layers in a composite of carbon fiber andepoxy resin start to fail when a load acts upon it, mentored by Mr. Akash Kumar