Conference Session

Computers in Education Division (COED) Best of CoED Paper Session (Track 1.B)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Sung Je Bang, Texas A&M University; Syeda Fizza Ali, Texas A&M University; Asefeh Kardgar, Texas A&M University; Saira Anwar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

web-assisted personalized learning.Sung Je Bang, Texas A&M University Sung Je Bang is a Ph.D. candidate in Interdisciplinary Engineering at Texas A&M University, within the Department of Multidisciplinary Engineering. He serves as a graduate research assistant on multiple projects, where he focuses on user experience and psychological aspects of technology. His research interests include artificial intelligence, large language models, user experience design, and engineering education.Syeda Fizza Ali, Texas A&M University Syeda Fizza Ali is currently pursuing her PhD in Interdisciplinary Engineering at Texas A&M University. She works as a graduate research assistant at the Department of

Conference Session

Faculty Development Works in Progress Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ashwin S, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University

Tagged Divisions

Faculty Development Division (FDD)

Paper ID #48252Exploring Faculty Members’ Artificial Intelligence Literacy through the Lensof the TPACK Framework: A Qualitative StudyAshwin S, Nanyang Technological UniversityDr. Ibrahim H. Yeter, Nanyang Technological University Ibrahim H. Yeter, Ph.D., is an Assistant Professor at the National Institute of Education (NIE) at Nanyang Technological University (NTU) in Singapore. He is an affiliated faculty member of the NTU Centre for Research and Development in Learning (CRADLE) and the NTU Institute for Science and Technology for Humanity (NISTH). Dr. Yeter serves as the Director of the World MOON Project and holds

Conference Session

Student Success and Support Mechanisms in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

James Finn Morton, University of Georgia; Taiwo Raphael Feyijimi, University of Georgia; Sarah Jane Bork, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

currently leveraging AI to tackle simple and longstanding problems in engineering education. With over a decade of industry experience as a Technology Strategist and Technical Lead, he has established himself as a forward-thinking innovator in AI and EdTech. His expertise spans Exploratory Data Analysis (EDA), Machine Learning (ML), Natural Language Processing (NLP), and Prompt Engineering Techniques (PETs) with Large Language Models (LLMs). Taiwo is known for his ability to collaborate effectively within and across organizations to meet project goals and drive transformative results. He excels in leading technical teams, offering strategic IT consultations, and implementing solutions that enhance productivity.Dr

Conference Session

Faculty Development: Grading and Artificial Intelligence

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael J McGinnis, LeTourneau University

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

the formative aspects of the grading function), time between due dates and returninggraded work, and the idea of being a project manager role model in the grading area [15], [16].Who should grade: Discussed the pros and cons of self grading (by students), peer grading, andgraders.Where should we grade: Discussed grading within apps and on canvas; providing audio andvideo feedback and the advantages [17], [18], [19].How should we grade: Discussed the tasks of grading, setting clear expectations and pairingthem with gradable assignments, different grading techniques and types of rubrics, and theappropriate length of time it ‘should’ take to grade various types of assignments. Discussed theimpacts of lenient versus strict grading policies and

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)

[11]. Findings indicated thatcollaborative learning improved student engagement and understanding, and faculty satisfaction,despite limitations such as a small sample size and specific context. Future research shouldexplore the long-term impacts and scalability of these techniques [11]. 5. Enhancing Reflective PracticesDu et. al [12] explores the development of critical reflection among Chinese universityinstructors during a six-month Problem-Based Learning (PBL) program in Denmark. Usingprogressive portfolios, team project reports, and focus group interviews, the study provided bothqualitative and quantitative insights into the participants' reflective processes [12]. Significantimprovements were noted in instructional and pedagogical

Conference Session

Computers in Education Division (COED) Track 4.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marlee Jacobs, Utah State University; Daniel Kane, Utah State University; Rosemary Yahne, Utah State University; Wade H Goodridge, Utah State University

Tagged Divisions

Computers in Education Division (COED)

. Mohanani, and P. Abrahamsson, “Implementing AI Ethics ina Software Engineering Project-Based Learning Environment - The Case of WIMMA Lab,” inSoftware Business, vol. 463, N. Carroll, A. Nguyen-Duc, X. Wang, and V. Stray, Eds., in LectureNotes in Business Information Processing, vol. 463., Cham: Springer International Publishing,2022, pp. 278–284. doi: 10.1007/978-3-031-20706-8_19.[9] S. Hazari, “Justification and Roadmap for Artificial Intelligence (AI) Literacy Courses inHigher Education,” JERAP, vol. 14, no. 1, Apr. 2024, doi: 10.5590/JERAP.2024.14.1.07.[10] L. Wiese, H. E. Will Pinto, and A. J. Magana, “Undergraduate and graduate students’conceptual understanding of model classification outcomes under the lens of scientificargumentation,” Comp

Conference Session

ME Division 10: Innovation in the Sophomore Year

Collection

2025 ASEE Annual Conference & Exposition

Authors

Oziel Rios, University of Texas at Dallas; Dani Fadda, University of Texas at Dallas; P.l.stephan Thamban

Tagged Divisions

Mechanical Engineering Division (MECH)

online classes and is the recipient of prestigious teaching awards. Dr. Fadda is a registered Professional Engineer in the state of Texas and an ASME fellow.Dr. P.l.stephan Thamban, Dr. Thamban is an associate professor of instruction in the Mechanical Engineering department at the University of Texas at Dallas who contributes to the teaching mission of the department. He brings with him more than a decade long teaching experience and teaches foundational, introductory ME undergraduate courses and advanced mathematics courses for undergraduate and graduate students. He values and incorporates project-based learning components in undergraduate courses. ©American Society for Engineering

Conference Session

WiP: Gen AI, Mixed Reality, and Simulations

Collection

2025 ASEE Annual Conference & Exposition

Authors

Xiaoye Michael Wang; Jackie Anjie Liu, University of British Columbia, Vancouver; TImothy Welsh, University of Toronto; Ariel Chan, University of Toronto

Tagged Divisions

Chemical Engineering Division (ChED)

, “Immersive virtual crude distillation unit learning experience: The EYE4EDU project,” Comput. Chem. Eng., vol. 140, p. 106973, 2020.[16] V. V. Kumar, D. Carberry, C. Beenfeldt, M. P. Andersson, S. S. Mansouri, and F. Gallucci, “Virtual reality in chemical and biochemical engineering education and training,” Educ. Chem. Eng., vol. 36, pp. 143–153, 2021.[17] A. Chan and J. A. Liu, “Board 24: Development of Multi-User-enabled, Interactive, and Responsive Virtual/Augmented Reality-based Laboratory Training System,” in 2024 ASEE Annual Conference & Exposition, 2024. 8[18] D. Jones, C. Snider, A. Nassehi, J. Yon, and B. Hicks

Conference Session

Engineering Technology Division (ETD) Technical Session 7

Collection

2025 ASEE Annual Conference & Exposition

Authors

Troy Tonner, Purdue University Fort Wayne; Rebecca R Essig, Purdue University Fort Wayne; Michelle Rene Parker; Xiaokai Jia, Purdue University Fort Wayne

Tagged Divisions

Engineering Technology Division (ETD)

improved, and prerecorded lectures were created using aprofessional recording booth. The CLO were updated, and the course was realigned. Because ofthe modifications to the CLO, only the CLO that were the same for both study years arepresented. Additionally, during year 2 the semester-long report was broken into milestones toguide students more and give them more feedback throughout the project. The same assessmentswere used in both semesters. Rubrics were adjusted from year 1 to year 2 by changing theproblem points from 20 points to 10 points each. Similar rubric criteria were used both years.Each problem was worth 3% of the final grade in year 1 and 2% of the final grade due to theincreased problems, additional milestones, and increased focus on

Conference Session

Honoring the Legacy of Lisa Bullard: A View of the Present and Future

Collection

2025 ASEE Annual Conference & Exposition

Authors

Juan David Ortega Álvarez, Virginia Polytechnic Institute and State University; Stephen M. Martin, Virginia Polytechnic Institute and State University

Tagged Divisions

Chemical Engineering Division (ChED)

teaching the course since 2019, and teaches thecourse using a combination of traditional lectures, active learning, and flipped classroomtechniques. Students are provided with “skeletal” lecture notes that they complete and annotateduring in-person lectures or while watching online lecture videos. Participation in in-classlearning activities is encouraged through the use of a classroom response system (Top Hat).Lecture videos for all topics are made available online to the students for their review. Weeklyproblem sets are assigned and students take three in-class exams and a final exam. Students alsoparticipate in a group project involving the completion and evaluation of a mass and energybalance for a student-selected industrial process (e.g

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)

computing in machine learning, embedded systems, FPGA for DSP applications, and computer security. He has received numerous awards for teaching excellence and 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 Assessing ChatGPT-4o for AI-Assisted Problem Solving in Electric Circuits TeachingIntroductionElectric Circuits is a core course in Electrical Engineering and serves as a prerequisite for manyadvanced courses. The second half of the Electric Circuits course typically covers key topicssuch as Laplace

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

MALEK EL KOUZI, Queen's University; Omar I.M Bani-Taha, Carleton University; Richard Reeve, Queen's University

Tagged Divisions

Computers in Education Division (COED)

content to real-world objects. In this project, we chose to integrate theVuforia SDK with Unity to create the application. The application has a notable feature- multiplayer functionality using the Photon Pun2 tool. This feature allows users to jointhe same server and share data, creating an interactive collaborative experience. Tomake this possible, the application includes the Photon Pun2 Manager and PhotonViewcomponents. These components manage and coordinate game sessions betweenplayers. Additionally, a user interface was created to enable seamless interaction amongparticipants as seen in Figure 1. Figure 1. FrogAR_Connect application interface. Multiplayer functionality improves engagement and fun for users. It

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kangxuan Rong, Cornell University; Campbell James McColley, Cornell University; Ted Karanja Mburu, University of Colorado Boulder; Alexandra Werth, Cornell University

Tagged Divisions

Computers in Education Division (COED)

students enrolled in the BME 2081 Experiential Learning Seminarcourse during the Fall 2024 semester, a 1-credit advanced biomedical engineering course with adesign concentration. The cohort was predominantly women (72.97%) and racially andethnically diverse. Additionally, 60.5% of students reported having at least one parent with amaster’s degree or higher, indicating a majority with familial exposure to advanced education.Comprehensive demographic data can be found in Appendix G.Course Structure and Teamwork Instruction Students were explicitly taught teamwork skills through lectures, shared value setting,and structured exercises. They participated in group projects designed to simulate real-worldproblem-solving scenarios, including the

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, University of Oklahoma; Saira Anwar, Texas A&M University; Asefeh Kardgar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

between the LLM and human evaluators on each SMART criterion SMART Criterion LLM vs Expert 1 LLM vs Expert 2 Specific 0.22 -0.12 Measurable 0.4 0.47 Achievable 0.15 0.0 Relevant 0.0 0.0 Time-bound 0.035 0.0DiscussionThis work-in-progress study is part of a larger project that aims to facilitate the instructor indesigning an effective and student-centered curriculum. In this regard, this study investigates theability of LLMs to evaluate the LOs with a minimum context (e.g., course description) based onthe SMART criteria. For that, we collected publicly available LOs from different STEM

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ria Madan, Texas A&M University; Hadear Ibrahim Hassan, Texas A&M University; M Cynthia Hipwell, Texas A&M University; Astrid Layton, Texas A&M University

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

participant with the best learning outcomes and RP1 was identified as theparticipant with the worst learning outcomes, defined based on their performance in I-Corps,evaluated by the quality of learning (a qualitative assessment of the participant’s finalpresentation in I-Corps) during the program. Other factors were also considered, such ascontinued engagement of the team in the project, receiving early funding, filing patents,industrial design rights or trademarks, publishing in peer-reviewed journals, or getting mentionedin news articles. Future work will develop a more formal rubric for participant programperformance and entrepreneurial performance to quantitively connect network metrics tosuccess. Figure 3 shows the network graphs for

Conference Session

Faculty Development Division (FDD) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kaitlin Mallouk, Rowan University; Darby Rose Riley, Rowan University; Divya Sindhu Lekha

Tagged Divisions

Faculty Development Division (FDD)

Development (EUFD) workshops to engineeringfaculty to support the development of entrepreneurial mindset in the faculty participants and theirstudents. EUFD workshops consist of 3 days of in-person engagement followed by a year ofcoaching and are focused on developing connections between participants andfacilitators/coaches and among participants themselves. In this project, we use a survey of EUFDparticipants to understand the role of connection in their workshop experience. Our researchquestions are: 1) How many others did participants have meaningful interactions with during theworkshops? And 2) What differences in number of meaningful interactions were there betweendifferent workshops?In our survey, participants selected who among their

Conference Session

Poster Session-Electrical and Computer Engineering Division (ECE)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ze Yang, University Of Toronto; Hamid S Timorabadi P.Eng., University of Toronto

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Paper ID #45709Work In Progress: Remote FPGA Lab - An Interactive Online Environmentfor Teaching FPGA Development FundamentalsMr. Ze Yang, University Of Toronto A master of engineering student at University of Toronto.Dr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the application of digital signal processing in power systems. ©American Society for

Conference Session

Civil Engineering Division (CIVIL) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Aja Rachel Bettencourt-Mccarthy, University of Cincinnati; Matthew Sleep, University of Cincinnati

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering Division (CIVIL)

large, infrastructure projects as opposed to traditional prototyping and thedevelopment of models. Additional research is required to better understand why ‘creativity’ isperceived so differently between these two groups of students, though these results align withprevious research that highlights that there is room for additional skill development aroundcreativity in engineering [3] and that in some cases, divergent thinking and creativity stagnaterather than grow in engineering programs [20].Limitations & Future ResearchThe primary limitation of this study was the small sample size which provides a necessarilylimited snapshot of the students’ understanding of the definition of engineering design. Inaddition, all data were collected from a

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Valerie Elise Sullivan, University at Buffalo, The State University of New York; Rachel N. Bonnette, University at Buffalo, The State University of New York

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Learner Responsibility [8], [13]. Inclusive Pedagogical approach to provide instruction to Curriculum Design (open Practices the meet the needs and abilities of diverse ended-projects), Guide learners, and strive to eliminate hurdles to Appropriate Goal Setting learning in the classroom [16]. Neurodivergent Recommendations our participants identified are Neurodiversity Specific- helpful and specifically designed to improve Professional Practices learning and inclusion for neurodivergent Development Training students in Computer

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Colin Jacob Soule, Bucknell University; Lea Wittie, Bucknell University; Sing Chun Lee, Bucknell University

Tagged Divisions

Computers in Education Division (COED)

practice and time-consuming for educators to grade. This project explores the potential ofvirtual reality (VR) to provide a more engaging and interactive learning experience for syntax treeeducation while also supporting auto-gradable exercises for scalable practice.We have developed a web-based VR tool that enables students to construct syntax trees throughdrag-and-drop interactions in an immersive environment. To evaluate its effectiveness, we plan toconduct a comparative study with three groups of undergraduate computer science students: onereceiving more traditional instruction using a text-based tree generator, one using a browser-baseddrag-and-drop tool, and one utilizing the VR tool. The evaluation will include both qualitative

Conference Session

WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Aysel Guliyeva, The Institute of Education of the Republic of Azerbaijan; Ibrahim H. Yeter, Nanyang Technological University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

incorporating AI concepts into early learning environments.Dr. Ibrahim H. Yeter, Nanyang Technological University Ibrahim H. Yeter, Ph.D., is an Assistant Professor at the National Institute of Education (NIE) at Nanyang Technological University (NTU) in Singapore. He is an affiliated faculty member of the NTU Centre for Research and Development in Learning (CRADLE) and the NTU Institute for Science and Technology for Humanity (NISTH). Dr. Yeter serves as the Director of the World MOON Project and holds editorial roles as Associate Editor of the IEEE Transactions on Education and Editorial Board Member for the Journal of Research and Practice in Technology Enhanced Learning. He is also the upcoming Program Chair-Elect of

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

James Long, Rice University

Tagged Divisions

Biomedical Engineering Division (BED)

included weekly labreports with statistics-based analysis, weekly technical memos of concepts and devices testedduring lab, and final reports for long-term projects. Assignments were only disqualified fromresubmission if they did not meet a predetermined grade minimum, which varied by course level.There was no maximum number of assignments students could resubmit, but students wereallowed only one resubmission attempt per assignment. The courses evaluated in this study werelaboratory courses where technical writing assignments comprised over 80% of the final grade.Two courses with a combined total of 53 students were evaluated: one at the sophomore leveland another at the senior level. The grading rubrics used for these writing assignments

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rachel Bocian, Cornell University; Alexandra Werth, Cornell University; Campbell James McColley, Cornell University

Tagged Divisions

Biomedical Engineering Division (BED)

literature reviews to conceptmaps), student evaluations, weekly reflection questions, and post-course interviews conductedlongitudinally across the first-year introduction to BME course, this course, and BME SeniorDesign. For the purpose of this paper, we will be discussing initial results from a course artifactin Module 3.Leveraging backwards design, an evidence-based pedagogical method [1], [2], [3], [4], [5], thecourse structure has been reimagined to align each learning activity with key outcomes such asenhancing design thinking, building resilience through iteration, and fostering an empatheticapproach to engineering challenges. Through collaborative teamwork, reflective exercises, andscaffolded project-based learning, students are empowered to

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Viswajith Siruvallur Vasudevan, Cornell University; Jonathan T. Butcher, Cornell University

Tagged Divisions

Biomedical Engineering Division (BED)

preliminary exams, final exams, and final projects (if any) • the gap between homework assignments and the time allotted for each assignment • Time allocated for laboratory reports after the lab session. • the spacing of each assessment component (homework, lab reports, etc.) in a course.Safety Needs (SN) 4. The learning spaces (classes, labs, etc.) in [course/department/program] provided a safe environment for me to learn. 5. I felt safe voicing my input and opinions to my group in the [course/department/program]. 6. I felt secure sharing my thoughts and opinions with my peers, [course/department/program] instructors, TAs, and during group work.Belonging Needs (BN) 7. I performed better in a group of my choice rather

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kaela M Martin, Embry-Riddle Aeronautical University - Prescott; Elif Miskioglu, Bucknell University; Anu Singh, The Ohio State University; Adam R Carberry, The Ohio State University

Tagged Topics

Diversity, NSF Grantees Poster Session

, 1997, doi: 10.1002/j.2168-9830.1997.tb00277.x.[46] E. Litzler and C. Samuelson, "How Underrepresented Minority Engineering Students Derive a Sense of Belonging from Engineering," presented at the ASEE Annual Conference and Exposition, Atlanta, GA, June, 2013.[47] E. Litzler and J. Young, "Understanding the Risk of Attrition in Undergraduate Engineering: Results from the Project to Assess Climate in Engineering," Journal of Engineering Education, vol. 10, no. 2, pp. 319- 345, 2012, doi: 10.1002/j.2168-9830.2012.tb00052.x. 5

Conference Session

Mechanics Division (MECHS) Technical Session 1B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Pradeep Radhakrishnan, Worcester Polytechnic Institute; David C Brown, Worcester Polytechnic Institute; Margaret E Earnest, Worcester Polytechnic Institute

Tagged Divisions

Mechanics Division (MECHS)

GraphBased Dynamics Modeling Using Graph Grammars and Tree Search,” in IMECE2016, Volume 5:Education and Globalization, Nov. 2016. doi: 10.1115/IMECE2016-66110.[6] T. A. Jaber, C. M. Courville, and H. T. Hearst, “BoGL: An Application for Generating BondGraphs,” Undergraduate Major Qualifying Project, Worcester Polytechnic Institute, May 2020.[Online]. Available: https://digital.wpi.edu/show/n583xx306[7] G. D. Battista, Graph Drawing: Algorithms for the Visualization of Graphs. Prentice Hall,1999.

Conference Session

Emerging Technologies and AI Integration in ECE Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ismail Uysal, University of South Florida; Rifatul Islam, University of South Florida; Paul E Spector, University of South Florida

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Society for Engineering Education, 2025 Academic habits that drive student success - an XAI approach to action-state modeling Ismail Uysal, Rifatul Islam, Paul Spector* & Chris Ferekides Dept. of Electrical Engineering, *Dept. of Psychology, University of South Florida Tampa, Florida, United States Abstract This paper presents the third-year results of the work supported by the National Science Foundation’s Revolutionizing Engineering Departments (IUSE/PFE: RED) Program under the project titled "IUSE/PFE:RED: Breaking Boundaries: An Organized Revolution for the Professional Formation of Electrical Engineers." The study looks at action-state orientation and its impacts on student success

Conference Session

ECE-Cybersecurity and Quantum Technology Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tarek Kandil, Western Carolina University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

effectiveness of the module, students were assessed through project presentations. Additionally, feedback was collected through discussions to gauge student engagement and learning outcomes.The results of this educational initiative were overwhelmingly positive. Students reported astronger ability to apply theoretical concepts to practical scenarios. The hands-on, interactivenature of the module was particularly praised for making the learning experience moreengaging and impactful.ConclusionThe research presents case studies and simulations of the impact of tower footing impedanceusing Matlab/Simulink which can benefit both undergraduate and graduate students, and earlycareer engineers in ensuring the dependable integration of renewable energy

Conference Session

Engineering Technology Division (ETD) Technical Session 10

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kazi Imran, SUNY Poly (DO NOT USE; MERGED INTO SUNY POLY INST (ENG & ENG TECH); Samsur Rahman, New York City College of Technology; Jiayue Shen, State University of New York, Polytechnic Institute; MD ZAHIDUL HAQUE, State University of New York, Polytechnic Institute

Tagged Divisions

Engineering Technology Division (ETD)

molecules with desired properties, a subfield known as Machine Learning formaterials chemistry. Feature engineering, the process of finding a suitable representation of amolecule or crystal structure for Machine Learning models, is a critical aspect of this subfield.Comprehensive materials databases, like the Materials Project and Open Quantum MaterialsDatabase, provide access to abundant data, facilitating the discovery of new compounds.Composite materials, composed of two or more base materials, offer a vast design space andunique properties. Recent advances in additive manufacturing have expanded the possibilities forcreating complex materials with internal voids and multiple materials. Material science has shifted from purely

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Ethics education methodologies and interventions

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rebekah L Martin, Virginia Military Institute; Tanjina Afrin, Virginia Military Institute; Kacie Caple D'Alessandro, Virginia Military Institute

Tagged Divisions

Engineering Ethics Division (ETHICS)

upcomingcurriculum adjustments.6. Conclusion and RecommendationsBecause the FE data consistently shows a below-average performance on ethics questions, VMIcan consider alternative means to improve students' professional engineering ethical formationand, in turn, FE exam performance. First, VMI can consider tracking how students apply ethicalframeworks in capstone projects or internships to observe and evaluate the integration of ethicsinto engineering practice. Surveys or interviews with alumni can also offer valuable insights intothe long-term impact of ethics education on professional practice. Alternative approaches in theclassroom may include more case study analysis using codes of ethics, structured reflectiveessays to focus on professional issues