Conference Session

Manufacturing Division (MFG) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Andrea Camacho-Betancourt, University of Florida; Katie Leanne Basinger, University of Florida; Iris V. Rivero, University of Florida

Tagged Divisions

Manufacturing Division (MFG)

interested in self-test learning because they learn tomaster a specific subject and tackle problems in the manner of which they were taught [6]. Highschool students are motivated to learn to earn a good letter grade relating to the subject matter.College students on the other hand are more interested in vocational oriented learning, meaningthey seek to apply problem-solving skills related to the concepts learned to their future careers.College students learn to gain a deeper level of understanding than the surface levelunderstanding high school students aim for [6]. In the same study, the study assessed thecognitive processing strategies of both groups. College students were found to use significantlymore critical processing and analyzing strategies

Conference Session

Faculty Development and Change

Collection

2025 ASEE Annual Conference & Exposition

Authors

Stephanie Adams, Oregon State University; Shane A. Brown P.E., Oregon State University; Jeff Knowles, Oregon State University; Prateek Shekhar, New Jersey Institute of Technology; Maya Menon, New Jersey Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

–984, 2011, doi: 10.1002/tea.20439.[10] D. W. McMillan and D. M. Chavis, “Sense of community: A definition and theory,” J. Community Psychol., vol. 14, no. 1, pp. 6–23, Jan. 1986, doi: 10.1002/1520- 6629(198601)14:1<6::aid-jcop2290140103>3.0.co;2-i.[11] G. Crisp and I. Cruz, “Mentoring College Students: A Critical Review of the Literature Between 1990 and 2007,” Res. High. Educ., vol. 50, no. 6, pp. 525–545, Sep. 2009, doi: 10.1007/s11162-009-9130-2.[12] R. M. Felder and R. Brent, “The National Effective Teaching Institute: Assessment of Impact and Implications for Faculty Development,” J. Eng. Educ., vol. 99, no. 2, pp. 121–134, 2010, doi: 10.1002/j.2168-9830.2010.tb01049.x.[13] W. B. Johnson

Conference Session

An ECSJ Art Show - Equity and Justice through Art (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 6)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jeremy A. Magruder Waisome, University of Florida; Jerrod A Henderson, University of Houston William A. Brookshire Department of Chemical & Biomolecular Engineering

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

establish a new vision of engineering education. Who defines what scholarlymodes of knowledge generation are? And why can’t we?References[1] L. M. Vaughn and F. Jacquez, “Participatory Research Methods – Choice Points in theResearch Process,” Journal of Participatory Research Methods, vol. 1, no. 1, Jul. 2020,Available: https://jprm.scholasticahq.com/article/13244-participatory-research-methods-choice-points-in-the-research-process[2] C. Wang and C. A. Pies, “Family, Maternal, and Child Health Through Photovoice,”Maternal and Child Health Journal, vol. 8, no. 2, pp. 95–102, Jun. 2004, doi:https://doi.org/10.1023/b:maci.0000025732.32293.4f.[3] C. Wang and M. A. Burris, “Photovoice: Concept, methodology, and use for participatoryneeds assessment

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 3: Identity, Professionalization, and Belonging II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriel Van Dyke, Utah State University; Cassandra J McCall, Utah State University; Stephen Secules, Florida International University; Maimuna Begum Kali, Florida International University; Vanessa Tran, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

Participation Research: Lessons Learned and Future Possibilities,” presented at the 2022 ASEE Annual Conference & Exposition, Aug. 2022. Accessed: Apr. 27, 2023. [Online]. Available: https://peer.asee.org/audio-dissemination-for-qualitative-and- broadening-participation-research-lessons-learned-and-future-possibilities[4] J. Sweller, J. J. G. van Merriënboer, and F. G. W. C. Paas, “Cognitive Architecture and Instructional Design: 20 Years Later,” Educ Psychol Rev, vol. 31, no. 2, pp. 261–292, Jun. 2019, doi: 10.1007/s10648-019-09465-5.[5] T. J. Impelluso, “Assessing Cognitive Load Theory to Improve Student Learning for Mechanical Engineers,” American Journal of Distance Education, vol. 23, no. 4, pp. 179– 193, Dec. 2009

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 5: Decoloniality and Indigenous Knowledges

Collection

2025 ASEE Annual Conference & Exposition

Authors

Brainerd Prince, Plaksha University; Mhonbeni E Humtsoe; Satya Swaroop Nune, Plaksha University; Ananya Singla; Tanu Adhikari; Nandini Goyal; Yuven Blowria, Plaksha University; Pehar Jhamb, Plaksha University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

Civil Engineering in 1854 after itsmentor James Thomason’ [4].As of 2020, India ranks second, following China (3.57 million), with 2.55 million STEMgraduates, making it one of the top 11 countries with the number of STEM graduates [5].Despite this fact, Indian education institutions do not find top places in the world ranking [2].This could be because of the emphasis on imparting theoretical knowledge with littlepractical application and extensive practice of memory-based assessments [2]. Some keyissues in the teaching and learning process include a shortage of qualified faculty, outdatedinstructional methods, and inflexible curricula and pedagogies. Theoretical knowledge aloneis not sufficient ‘the learning experience of the students should be

Conference Session

Design in Engineering Education Division (DEED) - AI and Digital Futures in Design Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maulik C Kotecha, Pennsylvania State University; Tikyna M. Dandridge, The Pennsylvania State University; Tahira Reid Smith, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

careers inengineering.Discussion In this section, we discuss the major observations from the literature review and their implicationson future directions for engineering education researchers and engineering design educators. We alsoposit the use of digital twins in the capstone and cornerstone projects in engineering design. Forengineering education researchers, future work should focus on evaluating the effectiveness of digitaltwins in improving learning outcomes, particularly in enhancing students' problem-solving abilities,design thinking, and technical skills. From the literature review, we identified that empirical studies areneeded to assess how digital twins influence student engagement, retention, and knowledge transfer toreal

Conference Session

Mechanics Division (MECHS) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anyerson Cuervo-Basurto, Purdue University at West Lafayette (COE); Hong Tran, Purdue Engineering Education; Edward J. Berger, Purdue University at West Lafayette (PWL) (COE); Fredy Rodriguez, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity

Tagged Divisions

Mechanics Division (MECHS)

at the faculty level, cultural and insitutional challenges for engineering teaching, and the improvement of faculty development programs.Hong Tran, Purdue Engineering EducationDr. Edward J. Berger, Purdue University at West Lafayette (PWL) (COE) Edward Berger is a Professor of Engineering Education and Mechanical Engineering at Purdue University, joining Purdue in August 2014. He has been teaching engineering mechanics for over 25 years, and has worked extensively on the integration, adoption, adaptation and assessment of instructional systems for mechanics education. His work integrates anthropological lenses that explore how culture affects teaching and learning from both instructor and student perspectives. He

Conference Session

Transformative and Just Futures in Engineering (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 11)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadia N. Kellam, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

process fosters student agency, pushing them to critically assess thebenefits and drawbacks of AI rather than using it passively.However, there is also value in having students directly engage with AI’s limitations and biases.Many students in the class were surprised and even unsettled by the biases they encountered inAI-generated personas. Their discomfort sparked meaningful discussions about the sources ofthese biases and the broader ethical implications of AI in research and education. Educators canbuild on these moments by designing activities that intentionally expose AI’s flaws, much likeJoy Buolamwini’s facial recognition workshop using drag to trick biased facial recognitionsoftware [19]. By guiding students to uncover and critique AI’s

Conference Session

Computers in Education Division (COED) Track 4.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Ejiro U Osiobe; Lior Shamir, Kansas State University; David S. Allen, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

compliance with security and privacy standards. The VW uses age-appropriate visuals animations and layouts to match developmental stages. The VW incorporates scenarios that allow players to reflect on the consequences of their decisions. The VW fosters empathy through activities that encourage understanding and includes age-appropriate ethical dilemmas to support moral development in young children The VW provides real-time feedback and visual progress indicators to engage players and track achievements. It rewards positive behaviors and discourages harmful actions through constructive feedback. The VW provides session reports and saves artifacts for assessment and reflection. The VW hosts virtual events that bring players parents and educators

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Laura Christian, Georgia Institute of Technology; Ophelia Anais Winslett, Georgia Institute of Technology; Alpa Gautam, Georgia Institute of Technology; Todd M. Fernandez, Georgia Institute of Technology

Tagged Divisions

Biomedical Engineering Division (BED)

theliterature on different types of clinicians (Figure 2).The discussion led by the facilitator was targeted to help students articulate a change in their understanding ofhow ECG signals relate to cardiac behavior (i.e., Kember’s topmost critical reflection stage). This discussion isguided progressively - reflect on individual team’s diagnoses and knowledge of cardiac physiology, reflect oncourse level performance to assess mastery, and then reflect on reasons their performance might be higher thancertain groups of clinicians but lower than Cardiologists. We found that students were surprised that theiraccuracy in diagnosing AF2 was more accurate than most groups of clinicians. As statistics is not a prerequisitefor this class, the discussion here also

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sourojit Ghosh, University of Washington; Sarah Marie Coppola, University of Washington

Tagged Divisions

Engineering Ethics Division (ETHICS)

Table 2: List of Participants In these semi-structured interviews, participants were first asked about their rationale for signing up for thecourse and their initial assessments, based on syllabi and first day’s instructor presentation overviewing the class.They were then asked to detail the contributions (or lack thereof) of each of the class components – DiscussionLeading and in-class discussions, readings, Reading Responses, Final Project, and Final Paper – on their learning ofthe topics. They were then asked to reflect on their overall experience with the class, in terms of achieving their ownlearning goals and those set out in the syllabus, as well as pointing out specific things they liked and disliked aboutthe course. Finally

Conference Session

Engineering Leadership Development Division (LEAD) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michelle Choi Ausman, Virginia Polytechnic Institute and State University; Qin Zhu, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development Division (LEAD)

of Engineering Leadership,”Daley and Baruah [18] identify six knowledge bases or skills required for engineering leadership,including management skills. Bariraktarova et al. [19] explored leadership training in BulgarianSTEM education, noting the importance of partnerships between businesses and STEM schoolsto offer management training. Zhu et al.’s [20] qualitative study of Chinese engineers'perceptions of engineering leadership found that, under the Four Capabilities Model (4-Cap), theaspect of inventing includes discussions about project management skills as important forleadership. Management skills have also been critical in leadership assessments, particularly theManagerial Behavior Instrument, which aims to measure students

Conference Session

Minorities in Engineering Division(MIND) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Winifred Opoku, The Ohio State University; Monica Farmer Cox, The Ohio State University; Dira Melissa Delpech, The Ohio State University; Jameka Wiggins, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

Community Norms by Agarwalla et al. (2024). Other practical strategies includedesigning feedback and assessment opportunities on the MIRN’s culture, and providingresources not only for academic research purposes, but also for professional and personaldevelopment related to researcher well-being. Leaders and administrators of multi-institutionalresearch networks are encouraged to adopt these recommendations and seek to exploreframeworks for building successful research networks during the initial setting up phases.Future research should explore the long-term impact of psychological safety on researcherproductivity and well-being across researcher roles, as well as strategies for scaling thesepractices to broader institutional contexts. Comparative

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tony Malayil, Florida Atlantic University; Daniel Raviv, Florida Atlantic University; Juan David Yepes, Florida Atlantic University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

: Python simulation at T2 (frame #11) Once the Python simulation was completed, the student transitioned to implementing theYOLO framework. YOLO is an object detection system known for its real-time detection. Byutilizing this framework, the collision detection system could swiftly assess the threat before itgets too close. As mentioned earlier, this system used YOLO3D, a specialized version of YOLO wherethe bounding boxes around the vehicles are 3D, allowing us to detect the angles it creates. Thecode environment was set up on Google Colab, a Jupyter Notebook service that would providefree access to GPUs, accelerating inference. However, the student encountered a significantchallenge: YOLO3D, being a somewhat dated open-source

Conference Session

Military and Veterans Division (MVD) 3 - Moving Beyond the Uniform

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ronald W. Welch, The Citadel; Alyson Grace Eggleston, Pennsylvania State University; Robert J. Rabb P.E., The Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Military and Veterans Division (MVD)

. Curretnly at The Citadel teaching full time.Dr. Alyson Grace Eggleston, Pennsylvania State University Alyson Eggleston is an Associate Professor in the Penn State Hershey College of Medicine and Director of Evaluation for the Penn State Clinical and Translational Science Institute. Her research and teaching background focus on program assessment, STEM technical communication, industry-informed curricula, and educational outcomes veteran and active duty students.Dr. Robert J. Rabb P.E., The Pennsylvania State University Robert Rabb is the associate dean for education in the College of Engineering at Penn State. He previously served as a professor and the Mechanical Engineering Department Chair at The Citadel. He

Conference Session

ECE-Cybersecurity and Quantum Technology Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Douglas W. Jacobson, Iowa State University of Science and Technology

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

professionalism significantly influence the scoring.  Additionally, intrusion reports submitted during the competition allow Blue Teams to analyze and document detected attacks. These reports, worth 5% of the total score, are evaluated based on their detail, evidence, and proposed mitigation strategies.  The Green Team, representing users, contributes 20% of the score through usability evaluations. They assess the accessibility and functionality of the Blue Team's services, highlighting the balance between security and usability.  Finally, anomalies simulate real-world IT challenges, accounting for 15% of the score. Successfully addressing anomalies requires teams to demonstrate adaptability and problem

Conference Session

ERM Technical Session: Examining Undergraduate Recruitment & Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sean Maw, University of Saskatchewan; Peter M Ostafichuk P.Eng., University of British Columbia, Vancouver; Brian M Frank P.Eng., Queen's University; Lawrence R Chen, McGill University; Paul Neufeld P.Eng., MBA, PMP, University of Saskatchewan; Jason Grove P.E., University of Waterloo; Carolyn G. MacGregor P.Eng., University of Waterloo; Kimia Moozeh, University of Toronto; Grant McSorley, University of Prince Edward Island; Rubaina Khan, Queens University

Tagged Divisions

Educational Research and Methods Division (ERM)

(PMP). Paul is currently completing a M.Sc. in Engineering Education at the University of Saskatchewan, studying the career pathways of engineering graduates.Dr. Jason Grove P.E., University of Waterloo Jason Grove is the Graduate Attributes Lecturer in the Department of Chemical Engineering at the University of Waterloo. He is responsible for leading the continuous program assessment improvement process for the chemical and nanotechnology engineering prDr. Carolyn G. MacGregor P.Eng., University of Waterloo Carolyn MacGregor is the Associate Dean, Teaching for the Faculty of Engineering and an Associate Professor in the Department of Systems Design Engineering at the University of Waterloo. Prof. MacGregor has been

Conference Session

ERM Technical Session: Quantitative Instrument Development

Collection

2025 ASEE Annual Conference & Exposition

Authors

Trevion S Henderson, Tufts University; Avis Carrero, Tufts University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, and experiences that shape teamPredispositions engagement—evidenced by references to past teamwork, personal interests, and mentions of prior racialized encounters influencing confidence and task selection.Self-efficacy Beliefs Judgments of one’s ability to engage in team tasks—indicated by expressions of confidence or doubt, descriptions of mastery experiences, and self-assessments of competence in technical or communicative roles.Academic The motivational lens (mastery, performance, performance-avoidance)Orientations that shapes learning engagement—demonstrated by expressions of

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yu-Zheng Lin, The University of Arizona; Karan Patel, The University of Arizona; Ahmed H Alhamadah, The University of Arizona; Sujan Ghimire, The University of Arizona; Jesus Pacheco; Banafsheh Saber Latibari, The University of Arizona; Soheil Salehi, The University of Arizona; Pratik Satam, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

andqualitative-to-quantitative evaluation tasks in sentiment analysis. The classification task mainlyanalyzes the polarity of sentiment, such as “positive” or “negative.” The model evaluates thelearner’s sentiment state by examining the learner’s input text and makes a comprehensivejudgment based on other parameters of the learning environment. The qualitative-to-quantitativetask converts the sentiment into specific quantitative indicators, such as expressing the positiveand negative of the learner’s sentiment in numerical form to assess the mutual influence ofteacher-student interaction during the dialogue process.The second part is the integration of LLMs with Retrieval-Augmented Generation (RAG) [28] todynamically access domain-specific knowledge

Conference Session

Expanding STEM Access and Belonging: Programs and Practices for Inclusive K–12 Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hua Li, Texas A&M University - Kingsville; Kai Jin, Texas A&M University - Kingsville; Mohammad Motaher Hossain, Texas A&M University - Kingsville; Marsha Sowell, Texas A&M University - Kingsville; Benjamin Turner, Texas A&M University - Kingsville; Hui Shen, Texas A&M University - Kingsville; Xiaoyu Liu, Texas A&M University - Kingsville; Michael Preuss, Exquiri Consulting, LLC

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Paper ID #47199Promoting STEM through summer research experiences for K-12 teachers ina group settingDr. Hua Li, Texas A&M University - Kingsville Dr. Hua Li, a Professor in Mechanical and Industrial Engineering at Texas A&M University-Kingsville, is interested in AI, sustainable manufacturing, renewable energy, sustainability assessment, and engineering education. Dr. Li has served as P.I. and Co-P.I. in various projects funded by different federal agencies.Prof. Kai Jin, Texas A&M University - Kingsville Dr. Kai Jin is a Professor of Industrial Engineering and Co-PI of the MERIT project. Her research interests

Conference Session

ME Division 10: Innovation in the Sophomore Year

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marino Nader, University of Central Florida; Ricardo Zaurin, 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

Mechanical Engineering Division (MECH)

studentsin class for each of T1 and T2. Certainly, this comes with an adjustment in the attempts, i.e. whensome students take A2 while attempting the test for the first time, that attempt counts as A1 forthat student. This is a fair comparison as the student is attempting the test for the first time and notfor the second or third. A similar adjustment is done when they do A3 when it should be A2 forthem. The percentage participants shows that less and less students attempt the test for a thirdtime. A fair comparison is then to use the number of participants of A1 as a basis for the amountof students doing the following attempts of that test by which we can assess how many less andless students participate in that test. This is not exactly the case

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Griffin Pitts, University of Florida; Viktoria Medvedeva Marcus, University of Florida; Sanaz Motamedi, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

study focused on undergraduate stu-dents at a limited number of institutions. Future studies could assess perspectives across differenttypes of institutions, academic levels, and geographical regions to develop a more comprehensiveunderstanding of student perspectives. Second, while this study found student concerns relating topotential loss of critical thinking skills and overreliance, understanding the long-term impacts ofAI chatbots on learning outcomes requires additional research. Future studies could examine howdifferent patterns of AI chatbot usage affect student performance, skill development, and learningretention. Third, attitudes toward AI chatbots captured in this study represent a snapshop duringa period of rapid technological

Conference Session

ERM Technical Session: Examining Undergraduate Recruitment & Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gholam Abbas Sattar-Shamsabadi II, University of Louisville; Brian Scott Robinson, University of Louisville; Thomas Tretter, University of Louisville; Angela Thompson P.E., University of Louisville; Jessica Buckley

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

. It also identifies some institutional barriers to resilience. Insights fromstudents regarding their perceptions of these efforts are gathered to assess their effectiveness andidentify areas for improvement. Notably, this study leveraged the unique situation of theCOVID-19 pandemic. Students interviewed for this study began their first year in the fall of2020 under severe COVID restrictions, which limited university support services and socialinteractions. The pandemic functioned as a natural stress test of university support systems,exposing students to unique challenges in managing and overcoming stress under constrainedconditions. This study poses the following question: What academic protective mechanisms orrisk factors, including those

Conference Session

Programmatic Design and Resiliency Among Women Engineers

Collection

2025 ASEE Annual Conference & Exposition

Authors

Melissa Renee Casner, Purdue University at West Lafayette (PPI); Nancy L Lollar, Purdue University University at West Lafayette (PPI)

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

& Critical Thinking: Students will find constraints when solving, optimizing, and upgrading their designs under realistic engineering circumstances. 6) Networking and Programming: Students engage in challenges that focus on core concepts of computer information technology to explore coding principles and solving data management issues, develop simple applications and design secure networks in real-world scenarios.Each challenge tests students’ abilities in innovation, teamwork, and applying STEM knowledge.It focuses on hands-on experimentation, engineering design principles, and technical skilldevelopment.BTC adds a competitive aspect by assessing team performance according to criteria such

Conference Session

Minorities in Engineering Division(MIND) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anna-Lena Dicke, University of California, Irvine; David A. Copp, University of California, Irvine; Analia E. Rao, University of California, Irvine

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

activities to prepare for STEM careers or graduate studies.Co-curricular activities include a mentoring program as well as academic advising, tutoring,summer bridge programs, academic and career workshops, and industry and research internships.The scholarship program targets students who have the ambition to pursue engineering degrees,but often lack the resources or exposure to engineering opportunities. Transfer students join thescholarship program after their transition and stay enrolled throughout their tenure at theuniversity [16].MeasuresTo assess students’ perceived challenges and assets on their engineering journey, students’ essayssubmitted as part of the scholarship program application process were analyzed. Studentsdiscussed their career

Conference Session

Systems Engineering Division (SYS) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alejandro Salado, The University of Arizona; David Herring, The University of Arizona

Tagged Divisions

Systems Engineering Division (SYS)

and additional lectures tostrengthen the material presented in Phase 2, this time in the context of their own projects.Students are assessed via a personal journal where they are asked to document their experiences,reflections, and insights each week in the course. Particularly: • During Phase 1, students report on their experience during the project: things that work, things that did not work as expected, things that they did not anticipate, etc. • During Phase 2, students report on how they think the material they are learning in every class could have helped them in the project in Phase 1. • During Phase 3, students report on their experiences during the project in relationship to both Phases 1 and 2.The

Conference Session

Systems Engineering Division (SYS) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rafic Bachnak, Marymount University; Abhilasha Mishra, Pennsylvania State University, Harrisburg, The Capital College

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering Division (SYS)

frameworks emphasize constant iteration, feedback, and rapid adaptation—core principles of systems thinking. By incorporating these methodologies into the course structure, students not only learn to think in terms of systems but also apply those principles in environments that require agility and rapid problem-solving. For instance, in the tech industry, Agile teams regularly assess and adjust their strategies based on constant feedback, while CI/CD ensures that software systems are consistently integrated and deployed with minimal errors. This course uses similar principles to show how systems thinking can be applied across various engineering disciplines, preparing students for environments that value both efficiency and

Conference Session

Generative AI and Its Role in Industrial Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Edward James Isoghie, University of Louisville; Jason J Saleem, University of Louisville; Thomas Tretter, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville

Tagged Divisions

Industrial Engineering Division (IED)

responses from the Fall 2024 cohort to score their quantitativeanalysis (application of engineering anthropometry) and to determine if the design seeds(presented in Table 4) embedded in the qualitative interview transcripts by the research teamwere picked and implemented in the workstation design. This is done based on a three-levelscoring system: level 0 if the seed is absent or not considered at all, level 1 if it is minimallyconsidered but not fully developed or justified, and level 2 if it is adequately considered with areasonable justification. Also, there is an extra point when students used design seeds planted byChatGPT in the qualitative transcripts in the workstation design. This scoring system allows usto assess how effectively students

Conference Session

Inclusive and Interdisciplinary Approaches in Labs and Research

Collection

2025 ASEE Annual Conference & Exposition

Authors

Felipe Anaya, The University of Kansas; Claudia J. Bode, The University of Kansas; Kent Smith, The University of Kansas; Mark B Shiflett P.E., The University of Kansas

Tagged Divisions

Chemical Engineering Division (ChED)

, M. G.; Minogue, J. Accuracy of Scale Conceptions in Science: Mental Maneuverings across Many Orders of Spatial Magnitude. J. Res. Sci. Teach. 2006, 43, 1061−1085.3. Tretter, T. R.; Jones, M. G. Sense of Scale. Sci. Teach. 2003, 70, 22−25.4. Jones, M. G.; Taylor, A. R. Developing a Sense of Scale: Looking Backward. J. Res. Sci. Teach. 2009, 46, 460−475.5. Gerlach, K., Trate, J., Blecking, A., Geissinger, P., and Murphy, K. Investigation of Absolute and Relative Scaling Conceptions of Students in Introductory College Chemistry Courses. J. Chem. Educ. 2014, 91, 1526−1537.6. Gerlach, K., Trate, J., Blecking, A., Geissinger, P., and Murphy, K. Valid and Reliable Assessments to Measure Scale Literacy of

Conference Session

MATH - Student Readiness for Mathematics

Collection

2025 ASEE Annual Conference & Exposition

Authors

Karen C Enderle, Clemson University; Megan Che

Tagged Divisions

Mathematics Division (MATH)

. 42, pp.307-333, 2021.Ni She, C., Mac an Bhaird, C., Ní Fhloinn, E., O'Shea, A., “Problematic topics in first-yearmathematics: lecturer and student views,” International Journal of Mathematical Education inScience and Technology, vol. 48, no. 5, pp. 715-734, 2017.Norris, J., “The positioning of GCSE and functional skills in further education: how dovocational students make sense of post-16 mathematics pathways?,” Research in MathematicsEducation, vol. 25, no. 1, pp. 43-61, 2023.Nordvedt, G., Siqveland, A., “Are beginning calculus and engineering students adequatelyprepared for higher education? An assessment of students’ basic mathematical knowledge,”International Journal of Mathematical Education in Science and Technology, vol. 50, no. 3, pp