inalmost every industry that relies on engineering components or equipment. They are written byexperts with knowledge and expertise in a particular field. Sources for Engineering Codes and StandardsASME standards: https://www.asme.org/codes-standardsASTM standards: https://www.astm.org/Standard/standards-and-publications.htmlISO and ANSI standards: https://asq.org/quality-resources/ansi-standardsNational Institute of Standards and Technology: https://www.nist.gov/Sustainability Outcomes ● An ability to recognize ethical and professional codes of conduct in engineering design. ● An ability to comprehend the interconnection between environmental, social, and economic systems in relation to sustainability
Paper ID #45202Empowering Hispanic Engineers’ Success Towards Graduate Education withHybrid MentorshipFederico Cifuentes-Urtubey, University of Illinois Urbana-Champaign Federico Cifuentes-Urtubey is a Ph.D. Candidate in Computer Science at the University of Illinois Urbana-Champaign. His research develops wireless system privacy enhancements for Wi-Fi protocols. While at Illinois, he interned at Apple, Johns Hopkins University Applied Physics Laboratory, and Sandia National Labs. He served as the Graduate Ambassador in the SHPE chapter on campus to support a community of Hispanic graduate students in engineering. He has
programs.Confidence in digital tools was relatively high, with 49% feeling very confident. These resultshighlight the need for more interactive and adaptive content, robust technical support, and strongerfeedback mechanisms to enhance learning outcomes. This study provides actionablerecommendations for integrating these improvements into engineering and other higher educationcurricula, bridging the gap between technology and pedagogy to meet student needs effectively ina post-pandemic academic environment.IntroductionBefore the COVID-19 pandemic accelerated the adoption of online learning platforms, existingresearch had already explored student preferences and challenges related to online education [1-4]. Both synchronous and asynchronous modes were gaining
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. On Teaching with AI: The Case of Scientific and Engineering Programming in the Era of Artificial Intelligence Basile Panoutsopoulos Department of Physics and Engineering Community College of Rhode Island Warwick, RI BPanoutsopoulos@ccri.edu Abstract—In this paper, we present a background on the use Customization: AI-based tools can customize the
collaborationthrough the use of peer reviews and teamwork assessments, enhancing interpersonal skills that arevital for success in professional environments. This multifaceted approach not only better preparesstudents for industry challenges but also supports personal and academic development.ALINGING ENGINEERING CURRICULA WITH INDUSTRY EXPECTATIONSIn today's rapidly evolving engineering landscape, it is essential that curricula emphasize coretechnical knowledge to ensure students are equipped with the expertise needed for problem-solving in real-world scenarios. By aligning foundational courses with current technologies andpractices, as showcased in Table 3, students gain the technical foundation required for effectiveengineering solutions. In addition
-proposedsolutions instead of investigating their own ideas with personal critical thinking. Engagingstudents, from day one, in PBL method exploiting efficiently AI, could result in enhancingmotivation of engineering students, even those lacking scientific prerequisites. Practicalexperiments, like disassembling and reassembling technology, combined with PBL, are expectedto reduce students' apprehension of engineering courses.I. IntroductionThe rapid technological innovations in all sectors such as sustainable infrastructures orautomated machines require more engineers with versatile skills. This demand, thoughinequitably distributed around the world, is a global trend. In the US, the CHIPS and ScienceAct, the estimation is that in the semiconductor industry
aid and others seeing it as a risk to independent critical thinking. This study also exploresstudents’ perspectives on integrating AI into future curricula and highlights their suggestions for itsresponsible and effective adoption in engineering education. IntroductionThe rapid advancements in artificial intelligence (AI) are reshaping the education sector. Engineeringeducation has long been at the forefront of adopting technological innovations, reflecting the field'sdynamic and solution-driven nature. AI tools such as ChatGPT, Copilot, Grammarly, Claude,Gemini, Wolfram Alpha are becoming indispensable to enhance learning experiences1,2. Fromautomated routine reminders to facilitating deeper
/colleges-schools/engineering-computing/engineering/civil- environmental-infrastructure/civil-infrastructure-engineering-bs/#requirementstext[12] Old Dominion University. “Academic Catalog 2024 – 2025: Bachelor of Science in Civil Engineering.” Accessed 9 January 2025. [Online] Available: https://catalog.odu.edu/undergraduate/engineering-technology/civil-environmental- engineering/civil-engineering-bsce/#degreeprogramguidetext[13] Virginia Military Institute. “2024-2025 Academic Catalog: Civil Engineering B.S.” Accessed 9 January 2025. [Online] Available: https://catalog.vmi.edu/preview_program.php?catoid=36&poid=2636&returnto=1395[14] Liberty University. “Course Catalog: Civil Engineering (B.S
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Intentional Infusion of Generative AI in a Human-Machine Systems Engineering Course Assessment with Adoptable and Adaptable Strategies B. Kris Jaeger-Helton Department of Mechanical & Industrial Engineering Northeastern University Boston, MA 02115 bk.jaeger-helton@northeastern.edu
, Bioinformatics, Dentistry, Dental Informatics programs at various public and private universities with more than 15 years of administrative experience as a chair/program director and 25 years of teaching, research, service, and industrial experiences.Husnu Saner Narman, Marshall University Dr. Husnu S. Narman is an Associate Professor in the Department of Computer Sciences and Electrical Engineering at Marshall University. Previously a post-doctoral fellow at Clemson University, his research interests include distributed computing, cyber-physical systems, machine learning applications, social networks, and advanced learning technologies. He has secured around $3.5 million in funding as PI or Co-PI and has over 60 peer
in Engineering and Technology Education," National Center for Engineering and Technology Education, 2006.[5] A.M. Cohen, & F.B. Brawer, "The American Community College," Adult Education Quarterly, vol. 60(3), pp. 306–308, 2008.[6] M.H. Holmes, J.L. Jackson, & R. Stoiko, "Departmental dialogues: Facilitating positive academic climates to improve equity in STEM disciplines," Innovative Higher Education. vol. 41(5), pp. 381–94. 2016.[7] L. Hopewell, C.L. McNeely, E.S. Kuiler, & J.O. Hahm, "University Leaders and the public agenda: Talking about women and diversity in STEM fields," Review of Policy Research, vol. 26(5), pp. 589-607, 2009.[8] M.F. Kosloski, & J.M. Ritz, "Research needs: Career and technical
, 2017. [9] Tony Wright and Susan Hamilton. Assessing student understanding in the molecular life sciences using a concept inventory. ATN Assessment, 2008.[10] Margherita Bernabei, Silvia Colabianchi, Andrea Falegnami, and Francesco Costantino. Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances. Computers and Education: Artificial Intelligence, 5:100172, 2023.[11] Vassilka D Kirova, Cyril S Ku, Joseph R Laracy, and Thomas J Marlowe. Software engineering education must adapt and evolve for an llm environment. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, pages 666–672, 2024.[12] Marian Daun
Education, 2025 Supporting Engineering Graduate Students to Create Inclusive Learning Environments: A Professional Development Program at a Hispanic-Serving Institution Keywords: Graduate, undergraduate, engineering IntroductionIncreasing diversity and equity remains a national goal for STEM (science, technology,engineering, and mathematics) education in the United States [1], as men and white individualscontinue to receive a disproportionate share of STEM bachelor's degrees and are overrepresentedin the national STEM workforce [2]. Creating cultures of inclusion at institutions and withinSTEM departments and classrooms is vital for the success of
, diverse student groups. Lookingahead, incorporating tailored educational strategies could further optimize learning outcomes byaddressing individual learning needs within such heterogeneous classrooms.KeywordsComputing Education, Visualization, Programming Language Learning, Real-World Hands-OnPractice, Active Learning, Phased Assessment, Data-Driven Results1 IntroductionWith the rapid development of AI and digital technologies, computing education has become acornerstone of university curricula, particularly in engineering disciplines. At Auburn University,the course COMP1200 introduces all undergraduate engineering students to MATLAB program-ming, regardless of their prior experience. This large and diverse cohort primarily consists ofnon
Paper ID #45136An exploration of the relationship between physical, social, and emotionalresource access and the development of engineering identity and belongingAnne-Marie C.A. Zamor, Rowan UniversityDr. Justin Charles Major, Rowan University Dr. Justin C. Major (they/them) is an Assistant Professor of Experiential Engineering Education at Rowan University where they leads ASPIRE Lab (Advancing Student Pathways through Inequality Research in Engineering). Justin’s research focuses on low-income students, engineering belonging and marginalization mechanisms, adverse childhood experiences, and feminist approaches to EER, and
gender ratio and group size on both female and male-identifyingstudents is crucial for creating an optimal learning environment for the entire class. AtBinghamton University, only about 26% of undergraduate engineering students identify aswomen, highlighting the need for this research.In a 2020 article in the International Journal of Emerging Technologies in Learning, Al Mulhimet al. extensively explored how group size directly impacts student success in projects and finalgrades. The study compared large groups (7-8 people) and smaller groups (3-4 people), findingthat students generally perceived larger groups more positively and tended to perform better.However, the paper emphasizes that other underlying factors contribute to the success
Aeronautical University-Worldwide campus. She holds a Master’s in Instructional Systems from Florida State University and a Ph.D. in Learning Technologies from the University of North Texas (UNT). She is the 2022 recipient of the Robert M. Gagn´e Award for Graduate Student Research in Instructional Design for her Ph.D. dissertation at UNT. Currently, she is working on a multi-year NSF grant researching Peer-Led Team Learning in asynchronous online engineering courses for non-traditional military and Veteran college students. Her contributions to this grant include logistical setup for the control and experimental courses, recruiting research participants, conducting interviews, along with collecting, coding, and analyzing
Paper ID #49498Impact of Attendance on Student Performance in Environmental EngineeringCourses after the End of COVID-19 Intervention: A Case StudyDr. M. A. Karim P.E., BCEE, F.ASCE, M.ASEE, University of West Florida University of West Florida, 11000 University Parkway, Bldg. 4, Room 326, Florida 32514, USA. Phone: (850) 474-2513 (W) / (804) 986-3120 (Cell); Emails: mkarim@uwf.edu / makarim@juno.com ©American Society for Engineering Education, 2025 Impact of Attendance on Student Performance in Environmental Engineering Courses after the End of COVID-19 Intervention: A Case
2025 ASEE Northeast Section Conference, Mar. 22, 2025, University of Bridgeport, Bridgeport, CT, USA. A color-based image analysis tool used for engineering education and its potential application for AI training Priscilla C. Fonseca Riley Popp School of Computing and Engineering Cockrell School of Engineering Quinnipiac University University of Texas Hamden, CT USA Austin, TX USA pcfonseca@quinnipiac.edu rwp632@my.utexas.edu Abstract—If a civil
Paper ID #45820Better Student Presentations: A Mini-Course in Visual Design Principles toTurn Engineering Students Into More Effective Communicators Immediately(Work in Progress)Ms. Phyllis Beck, Mississippi State University Phyllis Beck is a blend of art and science having completed an undergraduate degree in Fine Arts at MSU and a PH.D in Computer Science where she focused on applying Artificial Intelligence, Natural language Processing and Machine Learning techniques to the engineering education space. Currently, she is working as an Assistant Research Professor at Mississippi State University in the Bagley College of
.” Issues in Science and Technology Librarianship, no. 105 (March). https://doi.org/10.29173/istl2810.Harlan, Sharon L., David N. Pellow, J. Timmons Roberts, Shannon Elizabeth Bell, William G. Holt, and Joane Nagel. 2015. “Climate Justice and Inequality.” In Climate Change and Society: Sociological Perspectives, edited by Riley E. Dunlap and Robert J. Brulle, 0. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199356102.003.0005.Hess, Justin L., Athena Lin, Andrew Whitehead, and Andrew Katz. 2024. “How Do Ethics and Diversity, Equity, and Inclusion Relate in Engineering? A Systematic Review.” Journal of Engineering Education 113 (1): 143–63. https://doi.org/10.1002/jee.20571.Kimmerer, Robin Wall
; semiconductor different opinions. It wasn't like a group project industry. where there's a specific thing that needs to be done; • Working as a Systems Test Engineer, responsible for rather, it's a little broad, so you could do your own implementing the integration and verification research, which brought a lot of interesting ideas. strategy critical to support the release of cutting-edge • I think once we understood the model and used it for technology and valid system configurations. research, we got used to working together all the • As a student at UB
Paper ID #49696Bridging Abstract Mathematics and Practical Engineering Design: A Pre-CapstoneProject to Enhance Learning and Cultivate EntrepreneurshipDr. Mehran Andalibi, Embry Riddle Aeronautical University Mehran Andalibi has been with Embry Riddle Aeronautical University, Prescott, AZ as an Associate Professor of Mechanical Engineering and director of robotics and rapid prototyping labs since 2015. He graduated from Oklahoma State University with Ph.D. in Mechanical engineering in 2010. His research interests are engineering education, artificial intelligence, and robotics.Dr. Jonathan M Adams, United States Military
Paper ID #49731The Impact of Community College STEM Pathways on the Success of First-YearTransfer StudentsMr. ZHENYU LIU Zhenyu Liu Aerospace Engineering Student, Mt. San Antonio CollegeProf. Eugene Leo Draine Mahmoud, Mt. San Antonio Community College eugene is a Professor of Physics and Engineering and educational researcher at Mt. San Antonio College (Mt. SAC). He received a B.S. in Aerospace Engineering with a minor in Ethnic Studies from the University of California, San Diego; and a M.S. and Engineers’ Degree in Mechanical Engineering from the California Institute of Technology. Currently, he serves as the chair for
Paper ID #49734Who invented that? A man, most likelyMs. Sabrina Elise Contreras, University of California, Irvine Sabrina Contreras is a mechanical engineering student at the University of California, Irvine, with a strong interest in intellectual property law and innovation equity. As a researcher under Professor Natascha Buswell, Sabrina explores the intersection of gender, STEM, and patent-heavy industries, focusing on barriers to inclusivity and their impact on innovation. Her work reflects a passion for fostering equitable systems that empower underrepresented voices, particularly in advancing technologies
Paper ID #49668Creating Pathways to Industry for Pre-College Students and Two-Year UndergraduatesDr. Kenie Moses, Southern University at Shreveport Kenie serves as Professor and Chair of the Department of Engineering and Technology at Southern University at Shreveport. He received his BSEE in 2008 from Southern University A&M and MSECE from Purdue University 2011 and his PhD in May 2019 in InstructiDr. Fred Lacy, Southern University and A&M College Dr. Fred Lacy earned his B.S.E.E. from Howard University in Washington, DC in 1987, his M.S.E. from Johns Hopkins University in Baltimore, MD in 1989, and his Ph.D. from
Vehicle Deployment:Empowering Future Engineers to Address Infrastructure,Behavioral Complexity, and Technological Adaptation AcrossDiverse RegionsShreyas Chaudhary, Gokul Srinath Seetha Ram, Behnam Bahr Ph.DAbstractThe rapid development of autonomous vehicles (AVs) promises transformative changes inglobal transportation, with potential safety, efficiency, and environmental sustainabilitybenefits. However, AV deployment faces significant challenges influenced by infrastructuredisparities, socio-economic factors, and diverse behavioural patterns across regions. Thisresearch addresses the "global paradox" of AV adoption, where AVs thrive in structuredenvironments with advanced infrastructure and predictable driving behaviours but struggle toperform
Paper ID #49647Classroom Implementation of Biology and Architectural Lesson Plans ReflectingEvaluation of Concrete Bridge Decks Using Non-Destructive Evaluation MethodsDr. Nur Yazdani, The University of Texas at Arlington Dr. Nur Yazdani is the Dr. Tseng Huang Endowed Professor and past Chairperson at the Civil Engineering Department at the University of Texas at Arlington. He received his BS, MS, and PhD degrees in structural engineering from Bangladesh Univ. of Engineering & Technology (BUET), Dhaka, Univ. of Oklahoma, Norman, and the Univ. of Maryland, College Park, respectively. A Fellow of the American Society of
University of Texas at Arlington, Arlington, TX Copyright 2025, American Society for Engineering Education 2 IntroductionBackgroundThe integration of Cyber-Physical Systems (CPS) and Unmanned Aerial Vehicles (UAVs) inmodern warfare has transformed how missions are planned and executed. Recent conflicts ofthe Second Nagorno-Karabakh War1 and the Ukraine-Russia War2 highlighted the critical rolethese technologies play in surveillance, reconnaissance, and tactical operations. Also, theseconflicts highlight the need to enhance current military CPS technologies in UAVs, asadversaries adopt strategies that are more sophisticated.The U.S
University, and Lawrence Technological University frequently hadmultiple fellows each year, indicating a strong institutional commitment to KEEN’s mission(Table 1). Additionally, the fellowship continued to attract new institutions annually, suggestingthat KEEN’s influence is reaching an ever-wider network of engineering programs. KEEN Fellows By Academic Rank 35 30 Number of Fellows 25 20 15 10 5 0 2020 2021 2022 2023 2024