Conference Session

ERM Technical Session: Strategies for Student Support

Collection

2025 ASEE Annual Conference & Exposition

Authors

Collins Ugonna Lawrence, University at Buffalo, The State University of New York; Alexander V Struck Jannini, University at Buffalo, The State University of New York; Eunsil Lee, University at Buffalo, The State University of New York; Erin M. Rowley, University at Buffalo, The State University of New York

Tagged Divisions

Educational Research and Methods Division (ERM)

] K. M. Power, "Conceptualizing sense of belonging in higher education: Current issuesand future directions," Higher Educ. Q., vol. 75, no. 2, pp. 88–102, 2021.[12] R. Tennant et al., "The role of sense of belonging in improving student retention: Areview of literature," Educ. Res. Rev., vol. 24, pp. 88–104, 2018.[13] K. Dost and L. M. Smith, "Sense of belonging in higher education: A scoping review,"Higher Educ. Rev., vol. 56, no. 2, pp. 128–144, 2023.[14] S. Taff and J. Clifton, "Sense of belonging and student success in STEM: Acomprehensive review," J. STEM Educ., vol. 31, no. 1, pp. 12–23, 2022.[15] D. Levac, H. Colquhoun, and K. K. O'Brien, "Scoping studies: Advancing themethodology," Implement. Sci., vol. 5, no. 69, pp. 1–9, 2010

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Case Studies

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mary M Bevilacqua, University of Colorado Denver

Tagged Divisions

Engineering Ethics Division (ETHICS)

Gamification Over the Traditional Classroom in Education,” Indian J. Sci. Technol., vol. 10, no. 13, pp. 1–5, Apr. 2017, doi: 10.17485/ijst/2017/v10i13/109065.[3] C. Dichev and D. Dicheva, “Gamifying education: what is known, what is believed and what remains uncertain: a critical review,” Int. J. Educ. Technol. High. Educ., vol. 14, no. 1, p. 9, Feb. 2017, doi: 10.1186/s41239-017-0042-5.[4] C. J. Finelli et al., “An Assessment of Engineering Students’ Curricular and Co‐Curricular Experiences and Their Ethical Development,” vol. 101, no. 3, pp. 469–494, 2012, doi: 10.1002/j.2168-9830.2012.tb00058.x.[5] R. Snieder and Q. Zhu, “Connecting to the Heart: Teaching Value-Based Professional Ethics,” vol. 26, no. 4, pp. 2235–2254, 2020

Conference Session

Tech Session 5: Toward a New Paradigm in Environmental Engineering: From Knowledge Frameworks to Learning Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Namita Shrestha, Rose-Hulman Institute of Technology; Michelle Marincel Payne, Rose-Hulman Institute of Technology; Timothy Chow; Mitchel Daniel, Rose-Hulman Institute of Technology

Tagged Divisions

Environmental Engineering & Sustainability Division (ENVIRON)

the road elevate the downstream chloride concentration above 20 mg/L? (Mass balance)3) A waste contains 300 mg/L of C(H 2 O) [MW = 30 g] and 50 mg/L of NH 3 -N [MW of N - 14 g]. Calculate the carbonaceous ThOD, The nitrogenous ThOD, and the total ThOD of the waste. (Water Quality) [MW of O 2 =32 g] C(H 2 O) +O 2 → CO 2 + H 2 O NH 3 + O 2 →NO 3 -+ H++H 2 O4) For the given parameter which reactor (PFR vs CMFR) would you choose based on 𝑚𝑚 3 𝑚𝑚𝑚𝑚 𝑚𝑚𝑚𝑚 volume required? Q=50 , 𝐶𝐶𝑖𝑖𝑖𝑖 = 100 , 𝐶𝐶𝑜𝑜𝑜𝑜𝑜𝑜 = 5 , K= 0.216 𝑑𝑑𝑑𝑑𝑑𝑑 −1 𝑠𝑠 𝑙𝑙

Conference Session

Innovative Approaches to Biomedical Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marissa Gray, Brown University; Lawrence Martin Boyd, Clemson University

Tagged Divisions

Biomedical Engineering Division (BED)

is the lack of regular, longitudinal data from industry. To solve this issue, the BMEcommunity should compile an industry and sector-specific competency or skills list that is sharedin a searchable way. To further connect institutions and industry, more industry-focusedworkshops could be offered at BMES and other regional and national meetings. Ideally, theseworkshops would focus on professional skills or be a panel format with Q&A sessions. It is clearthat there is room for the BME community to improve its relationship with industry. One boldsuggestion was for BMES to embark on a public relations campaign with industryrepresentatives. This could be done at large engineering conferences such as the National Societyof Black Engineers

Conference Session

Multidisciplinary Engineering Division (MULTI) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher George Pierce, University of the Incarnate Word; Okan Caglayan, University of the Incarnate Word

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

viruses dried on surfaces. Arch Virol 2011;156:489_94.20. Sitzlar B, Vajravelu RK, Jury L, Donskey CJ, Jump RL. Environmental decontamination with ultraviolet radiation to prevent recurrent Clostridium difficile infection in 2 roommates in a long-term care Facility. Infect Control Hosp Epidemiol 2012;33:534_6.21. Mahida N, Vaughan N, Boswell T. First UK evaluation of an automated ultraviolet-C room decontamination device (Tru- D). J Hosp Infect 2013;84:332_5.22. Rutala WA, Gergen MF, Tande BM, Weber DJ. Rapid hospital room decontamination using ultraviolet (UV) light with a nanostructured UV-reflective wall coating. Infect Control Hosp Epidemiol 2013;34:527_9.23. K. Cao, Y. Liu, G. Meng and Q. Sun, "An Overview on Edge Computing

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Iowa State University of Science and Technology; Amin Amirlatifi, Mississippi State University; Sudip Mittal, Mississippi State University; Subash Neupane, Mississippi State University; HIMANSHU TRIPATHI, Mississippi State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

for the professor or teaching assistant to be able torespond to in a timely manner.One of the initial uses of AI for supporting teaching expanded the use of the Piazza Q&Aplatform by Georgia Tech [1] (named Jill Watson) and then Stanford University [2]. In this latterwork an AI tool was trained to address student inquiries in a core computer science course using1500 questions and answers archived from Piazza. The questions were categorized as beingrelated to a course policy, related to homework or some other assignment, or about a conceptualquestion. The results showed that the bot did very well at answering policy questions, faredrelatively well on assignment questions, but struggled with addressing conceptual queries, eventhough a

Conference Session

ECE-Outreach and Engagement Strategies for Inspiring Future Engineers

Collection

2025 ASEE Annual Conference & Exposition

Authors

Andrew Danowitz, California Polytechnic State University, San Luis Obispo; Lynne A Slivovsky, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

,” J. Coll. Stud. Retent. Res. Theory Pract., vol. 26, no. 1, pp. 3–18, May 2024, doi: 10.1177/15210251211053863.[19] T. L. Renshaw, A. C. J. Long, and C. R. Cook, “Assessing adolescents’ positive psychological functioning at school: Development and validation of the Student Subjective Wellbeing Questionnaire,” Sch. Psychol. Q. Off. J. Div. Sch. Psychol. Am. Psychol. Assoc., vol. 30, no. 4, pp. 534–552, Dec. 2015, doi: 10.1037/spq0000088.[20] J. E. Stets, P. S. Brenner, P. J. Burke, and R. T. Serpe, “The science identity and entering a science occupation,” Soc. Sci. Res., vol. 64, pp. 1–14, May 2017, doi: 10.1016/j.ssresearch.2016.10.016.[21] J. C. Cassady, E. E. Pierson, and J. M. Starling

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Syeda Fizza Ali, Texas A&M University; Ayaan Sunil Rege, The Hill School; Susanna Angela Ponniah, The Hill School; Hoda Ehsan, The Hill School ; Saira Anwar, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

, USA, 2020[33] Zhang, Q. “Harnessing the power of technology: a systematic analysis of challenges, theoretical frameworks, and recommendations for K-12 online learning.” SN Social Sciences, 3(9), 164, 2023, doi: 10.1007/s43545-023-00715-6.[34] A. A. Herawati, S. Yusuf, Ilfiandra, A. Taufik, and A. S. Y. Habibi, "Exploring the Role of Artificial Intelligence in Education, Students' Preferences and Perceptions," Al-Ishlah: Journal of Education, vol. 16, no. 2, pp. 1029-1040, 2024, doi: 10.35445/alishlah.v16i2.4784.[35] N. Wang and J. Lester, "K-12 Education in the Age of AI: A Call to Action for K-12 AI Literacy," Int. J. Artif. Intell. Educ., vol. 33, no. 2, pp. 228-232, 2023, doi: 10.1007/s40593-023-00358-x.

Conference Session

Leveraging AI and Computational Tools for Enhanced Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher V.H.-H. Chen, Columbia University; Sakul Ratanalert, Columbia University in the City of New York

Tagged Divisions

Chemical Engineering Division (ChED)

. Annotated Example Chatbot ResponsesMisleading Q: What would weigh more (on Earth), an ozmol of diatomic oxygen (O2) or a lbmol ofAnswer diatomic hydrogen (H2)? ​ Response (Meta AI on Dec 26, 2024):​ Comparison of Weights To determine which weighs more, we need to calculate the weight of each. 1 ozmol of O2: The molecular weight of O2 is 32 g/mol. Since 1 ozmol is equal to 1 ounce-mole, we need to convert this to grams. 1 ounce is equal to 28.35 grams, so 1 ozmol of O2 is equal to 32 g/mol * (1 oz / 28.35 g) = 1.13 mol. The weight of 1 ozmol of O2 is then 1.13 mol * 32 g/mol = 36.16 grams. 1 lbmol of H2

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Virtue & Ethics in the Profession

Collection

2025 ASEE Annual Conference & Exposition

Authors

Cindy Rottmann, University of Toronto

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics Division (ETHICS)

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tammy Mackenzie, The Aula Fellowship; Lisa D. McNair, Virginia Tech; Rubaina Khan, University of Toronto; Animesh Paul, University of Georgia; Sreyoshi Bhaduri, Private Corporation

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

elements of engineeringeducation. The development of an easy-to-use rubric built on the da Vinci Cube frame-work will facilitate the systematic analysis of GenAI innovations, enabling researchers andpractitioners to better understand and navigate the complex interplay between drivers ofinnovation in engineering education, including knowledge, use, and sentiment.References [1] L. Chen, P. Chen, and Z. Lin, “Artificial intelligence in education: A review,” Ieee Access, vol. 8, pp. 75 264–75 278, 2020. [2] T. K. Chiu, Q. Xia, X. Zhou, C. S. Chai, and M. Cheng, “Systematic literature re- view on opportunities, challenges, and future research recommendations of artificial intelligence in education,” Computers and Education: Artificial

Conference Session

ERM Technical Session: Quantitative Instrument Development

Collection

2025 ASEE Annual Conference & Exposition

Authors

Harly Ramsey, University of Southern California

Tagged Divisions

Educational Research and Methods Division (ERM)

, “Engineering Capstone Design Education: Current Practices, Emerging Trends, and Successful Strategies,” in Design Education Today, D. Schaefer, G. Coates, and C. Eckert, Eds., Cham: Springer International Publishing, 2019, pp. 115–148. doi: 10.1007/978-3-030-17134-6_6.[8] D. M. Gilbuena, B. U. Sherrett, E. S. Gummer, A. B. Champagne, and M. D. Koretsky, “Feedback on Professional Skills as Enculturation into Communities of Practice,” J. Eng. Educ., vol. 104, no. 1, pp. 7–34, 2015, doi: 10.1002/jee.20061.[9] R. Korte, S. Brunhaver, and S. Sheppard, “(Mis)Interpretations of Organizational Socialization: The Expectations and Experiences of Newcomers and Managers,” Hum. Resour. Dev. Q., vol. 26, no. 2, pp. 185–208, 2015, doi

Conference Session

First-Year Programs Division (FPD) Technical Session 6: Learning by Doing - Contextual and Community-Based Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

David Gray, Virginia Polytechnic Institute and State University; Juan David Ortega Álvarez, Virginia Polytechnic Institute and State University

Tagged Divisions

First-Year Programs Division (FPD)

Engineering Congress and Exposition, 2004, pp. 93–98. Accessed: Jan. 08, 2025. [Online]. Available: https://asmedigitalcollection.asme.org/IMECE/proceedings- abstract/IMECE2004/93/300458?casa_token=D7ONJ6zGsW8AAAAA:qvpqwKZ7p5nW4w teWc9Uc4LVx9Lq_gA88xm8LACeoB7yM0Tm5RLFMdc1poT0BTX7_DyZOivl-Q[8] K. Krippendorff, Content Analysis: An Introduction to Its Methodology. SAGE Publications, 2018.[9] J. Saldaña, The coding manual for qualitative researchers, 3rd ed. Thousand Oaks, CA: SAGE Publications, 2016.Appendix A – Assignment PromptPurposeAs a consulting firm or brain trust tasked with solving a complex engineering scenario, yourteam must compile a comprehensive report that showcases your ability to analyze the problem,identify key

Conference Session

DSAI Technical Session 3: Integrating Data Science in Curriculum Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Md. Yunus Naseri, Virginia Polytechnic Institute and State University; Vinod K. Lohani, Virginia Polytechnic Institute and State University; Manoj K Jha P.E., North Carolina A&T State University; Gautam Biswas, Vanderbilt University; Caitlin Snyder; Steven X. Jiang, North Carolina A&T State University; Caroline Benson Sear, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

. Darner Gougis, “Analysis of high‐ frequency and long‐term data in undergraduate ecology classes improves quantitative literacy,” Ecosphere, vol. 8, no. 3, p. e01733, 2017.[6] A. Bundy, “Australian and New Zealand Information Literacy Framework,” Australian and New Zealand Institute for Information Literacy, Adelaide, 2004.[7] D. Deb, M. Fuad, and K. Irwin, “A Module-based Approach to Teaching Big data and Cloud Computing Topics at CS Undergraduate Level,” in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, ACM, 2019. doi: 10.1145/3287324.3287494.[8] K. Hunt, “The challenges of integrating data literacy into the curriculum in an undergraduate institution,” IASSIST Q., vol. 28, no. 2–3, p

Conference Session

ECE-Applications of AI and ChatGPT in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Farid Farahmand, Sonoma State University; Shivakumar Mathapathi, Northeastern University, Silicon Valley Campus

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Conference Session

First-Year Programs Division (FPD) Technical Session 2: Designing Creativity - Innovation Through First-Year Maker Projects

Collection

2025 ASEE Annual Conference & Exposition

Authors

Artre Reginald Turner, Purdue University at West Lafayette (COE); Jason Morphew, Purdue University at West Lafayette (PPI); Kerrie A Douglas, Purdue University – West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

., vol. 45, no. 1, pp. 79–122, Aug. 1994, doi: 10.1006/jvbe.1994.1027.[10] R. W. Lent and S. D. Brown, “Applying Social Cognitive Theory to Career Counseling: An Introduction,” Career Dev. Q., vol. 44, no. 4, pp. 307–309, Jun. 1996, doi: 10.1002/j.2161-0045.1996.tb00447.x.[11] R. W. Lent et al., “Social cognitive predictors of adjustment to engineering majors across gender and race/ethnicity,” J. Vocat. Behav., vol. 83, no. 1, pp. 22–30, Aug. 2013, doi: 10.1016/j.jvb.2013.02.006.[12] N. A. Fouad and M. C. Santana, “SCCT and Underrepresented Populations in STEM Fields: Moving the Needle,” J. Career Assess

Conference Session

New Engineering Educators (NEE) Technical Session 4 - Undergraduate Student Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rubaiya Murshed, Embry-Riddle Aeronautical University - Prescott

Tagged Divisions

New Engineering Educators Division (NEE)

complete a comprehensive survey. A total of 56students participated in the survey, with 25 from Section 1 and 31 from Section 2. The survey wasconducted anonymously, and students were given the option to opt out.The survey included the following five target questions (Q1 to Q5), designed to capture students'views on how Nearpod supports various interconnected elements (E1 to E4) of active learning.Additionally, two more target questions (Q6 and Q7) were included to evaluate students' overallperspectives on Nearpod's effectiveness in fostering a supportive learning system.Table 1 below outlines the targeted questions (Q) and expected elements (E) of active learning tobe incorporated into the classroom. Table 2 summarizes students' responses to

Conference Session

Graduate College Industry Partnerships

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yu Zhang, Zhejiang University

Tagged Divisions

College Industry Partnerships Division (CIP)

review of the literature onuniversity–industry relations,” Research Policy, vol. 42, no. 2, pp. 423–442, 2013.[10] D. Borah, K. Malik, and S. Massini, “Teaching-focused university–industrycollaborations: Determinants and impact on graduates’ employability competencies,”Research Policy, vol. 50, no. 3, p. 104172, 2021.[11] G. Samuel, C. Donovan, and J. Lee, “University–industry teaching collaborations: Acase study of the MSc in structural integrity co-produced by Brunel University London andThe Welding Institute,” Studies in Higher Education, vol. 43, no. 4, pp. 769–785, 2018.[12] T. Zhuang, H. Zhou, and Q. Sun, “Ushering in industrial forces for teaching-focuseduniversity–industry collaboration in China: A resource-dependence perspective

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hatsuko Yoshikubo Ph.D., SHIBAURA INSTITUTE OF TECHNOLOGY; Dita Puspita Sari, Shibaura Institute of Technology; Gabriele Trovato; Eiji Kamioka; Darminto Darminto, ITS Surabaya

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

Differences: The Miville-Guzman Universality-Diversity Scale,” J. Couns. Psychol., vol. 46, no. 3, pp. 291-307, 1999.[14] MU’s Core Competencies Initiative, “The Miville-Guzman Universality-Diversity Scale- Short Form (MGUDS-S),” Carnegie Mellon University. [Online]. Available:https://www.cmu.edu/corecompetencies/globalculturaldei/resources-and-tools/miville-guzman-universality-diversity-scale/index.html?utm_source=chatgpt.com. [Accessed: Jan. 6,2025].[15] B. K. Jesiek, Y. Shen, and Y. Haller, “Cross-Cultural Competence: A Comparative Assessment of Engineering Students,” Int. J. Eng. Educ., vol. 28, no. 1, pp. 144–155, 2012.[16] X. Wang, B. K. Jesiek, and Q. Zhu, “Investigating attitudes toward diversity amongengineering and management students

Conference Session

ERM Technical Session: Faculty Influences on Student Support

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kayt Frisch, George Fox University; Chris Sharp, George Fox University; Jeffrey Walters, University of Washington

Tagged Divisions

Educational Research and Methods Division (ERM)

. Stanfield, C. D. Slown, Q. Sedlacek, and S. E. Worcester, “A Course-Based Undergraduate Research Experience (CURE) in Biology: Developing Systems Thinking 11 through Field Experiences in Restoration Ecology,” CBE—Life Sci. Educ., vol. 21, no. 2, p. ar20, Jun. 2022, doi: 10.1187/cbe.20-12-0300.[14] J. Naukkarinen and M. Talikka, “Design Science in Engineering Education Research,” presented at the 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. doi: 10.18260/1-2--36922.[15] I. Grinberg and J. Singer, “ETAC ABET and Eualuate UR-CURE Findings from Combining Two Assessment Approaches as Indicators of Student Learning Outcomes

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Runu Proma Das, University of Georgia; Tathyana Moratti, University of Georgia; Shari Gasper, University of Georgia; Beshoy Morkos, University of Georgia

Tagged Divisions

Computers in Education Division (COED)

and Sons Inc. doi: 10.1002/jee.20326.[38] V. Pursnani, Y. Sermet, M. Kurt, and I. Demir, “Performance of ChatGPT on the US fundamentals of engineering exam: Comprehensive assessment of proficiency and potential implications for professional environmental engineering practice,” Computers and Education: Artificial Intelligence, vol. 5, Jan. 2023, doi: 10.1016/j.caeai.2023.100183.[39] J. Qadir, “Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education,” in IEEE Global Engineering Education Conference, EDUCON, IEEE Computer Society, 2023. doi: 10.1109/EDUCON54358.2023.10125121.[40] W. Y. Hwang and I. Q. Utami, “Using GPT and authentic contextual recognition to

Conference Session

Belonging Across Engineering Environments (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 1)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tolulope Iyanuoluwa Abiri, Morgan State University; Ayobami Christianah Dunmoye, Morgan State University; Michael Oluwafemi Ige, Morgan State University; Samuel Sola Akosile, Morgan State University; Olushola V. Emiola-Owolabi, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

Tagged Topics

Diversity

Tagged Divisions

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

Conference Session

ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making

Collection

2025 ASEE Annual Conference & Exposition

Authors

L. Eric James, Minnesota State University, Mankato; Jennifer Karlin, Minnesota State University, Mankato; Zachary Reed Johnson

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

. “Situating the research to practice cycle for increased transformation in engineering education.” Formal proceedings of the - 2016 ASEE Annual Conference & Exposition, New Orleans. June 25, 2016.[5] Websearch. Performed in Google Scholar on January 10, 2025. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C24&q=definition+of+innovation&btnG=[6] Webpage. Retrieved January 10, 2015. https://dictionary.cambridge.org/us/dictionary/english/entrepreneurialism[7] Petersen, O. G., Jordan, W. M., & Radharamanan, R. (2012, June). Proposed KEEN initiative framework for entrepreneurial mindedness in engineering education. In 2012 ASEE Annual Conference & Exposition (pp. 25-1089).[8

Conference Session

ECCNE Technical Session 2 - Alternative Energy Sources

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jonathan Tyler Prince, United States Coast Guard Academy; John Rex Adong Gaviola, United States Coast Guard Academy; Sontino Allentuck; Jeffrey Edward Hartung; Tooran Emami Ph. D., United States Coast Guard Academy; Daniel Burke PE; James Meyers

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

Hydrogen Energy, vol. 35, no. 17, pp. 9349–9384, Sep. 2010, doi: https://doi.org/10.1016/j.ijhydene.2010.05.017.[4] Q. Hassan, S. Algburi, A. Z. Sameen, H. M. Salman, and M. Jaszczur, “A Review of Hybrid Renewable Energy systems: Solar and wind-powered solutions: Challenges, opportunities, and Policy Implications,” Results in Engineering, vol. 20, no. 1, p. 101621, Nov. 2023, doi: https://doi.org/10.1016/j.rineng.2023.101621.[5] K. J. Astrom, “PID Control,” 2002. Available: https://www.cds.caltech.edu/~murray/courses/cds101/fa02/caltech/astrom-ch6.pdf[6] A. Entezari, A. Aslani, R. Zahedi, and Y. Noorollahi, “Artificial intelligence and machine learning in energy systems: A bibliographic perspective,” Energy Strategy Reviews, vol

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ismael Villegas Molina, University of California, San Diego; Audria Nikitza Montalvo, University of California, San Diego; Benjamin Ochoa, University of California, San Diego; Paul Denny, University of Auckland; Leonard Porter, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

approximately 50% of final exam performance when controlling forEnglish proficiency [2]. Moreover, English proficiency is strongly correlated with programming performance [34, 35, 36, 41],further widening the gap for NNES students. In addition to programming languages being primarily based in English, mostonline resources for learning programming (e.g., documentation, online Q&A forums, tutorials) are also predominantly inEnglish. These skewed linguistic accommodations make a certain level of English proficiency increasingly necessary to learncomputer programming [18]. This de facto prerequisite creates a significant hurdle for NNES individuals who may have limitedEnglish proficiency [17]. While tailoring the delivery of materials for NNES students

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Over, Virginia Tech; C. Cozette Comer, Virginia Polytechnic Institute and State University; Connie Stovall, Virginia Polytechnic Institute and State University; Jiren Wang, Virginia Polytechnic Institute and State University; Jackson K. Hoch, Virginia Polytechnic Institute and State University; Emily Sue Mazure, Virginia Polytechnic Institute and State University; Rachel Ann Miles, Virginia Polytechnic Institute and State University

Tagged Divisions

Engineering Libraries Division (ELD)

Q&A forums like Stack Overflow. The primarydatabases for altmetrics are Altmetric Explorer and Overton, which also focuses on policydocuments in addition to altmetrics. The time required for analysis depends on the size of theunit, with larger units often requiring more time to process.Much of this work involves identifying scholarly outputs associated with faculty, a process thatrequires careful attention to author disambiguation, name variants, and affiliations. Researcheridentifiers such as ORCID iDs or Scopus Author IDs can aid this process but are not alwayscomplete or error-free, so verification and manual cleanup are often necessary. Once a reliableset of publications is established, the data can be explored to uncover patterns

Conference Session

Minorities in Engineering Division(MIND) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Meira Griffel, Oregon State University; Sarah Oman, Oregon State University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

Development, vol. 58, no. 3, pp. 385-401, 2017.[6] E. Cech and T. Waidzunas, "“Engineers Who Happen To Be Gay”: Lesbian, Gay, And Bisexual Students’ Experiences In Engineering," in 2009 ASEE Annual Conference & Exposition, 2009.[7] E. Cech and T. Waidzunas, "Navigating the heteronormativity of engineering: the experiences of lesbian, gay, and bisexual students," Engineering Studies, vol. 3, no. 1, pp. 1-24, 2011.[8] A. Haverkamp, "The Complexity of Nonbinary Gender Inclusion in Enigneering Culture," in ASEE Annual Conference and Exposition, Salt Lake City, 2018.[9] A. Haverkamp, A. Butler, N. S. Pelzl, M. K. Bothwell, D. Montfort and Q.-L. Driskill, "Exploring Transgender and Gender Nonconforming Engineering Undergraduate Experiences

Conference Session

Minorities in Engineering Division(MIND) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lizandra C Godwin, University of New Mexico; John K. Wagner, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

Institutional Agents Provide Racial Minority Students With Access to Social Capital in College,” J. Coll. Stud. Dev., vol. 53, no. 3, pp. 436–452, May 2012, doi: 10.1353/csd.2012.0042.[5] M. K. Eagan, S. Hurtado, M. J. Chang, G. A. Garcia, F. A. Herrera, and J. C. Garibay, “Making a Difference in Science Education: The Impact of Undergraduate Research Programs,” Am. Educ. Res. J., vol. 50, no. 4, pp. 683–713, Aug. 2013, doi: 10.3102/0002831213482038.[6] S. L. Dika, M. A. Pando, B. Q. Tempest, and M. E. Allen, “Examining the Cultural Wealth of Underrepresented Minority Engineering Persisters,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, p. 05017008, Apr. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000358.[7] C. Mobley and C. E

Conference Session

Faculty Development and Change

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emma Edoga M.S., Texas A&M University; Rujun Gao, Texas A&M University; Mindy Bergman; Arun R Srinivasa, Texas A&M University; Yanai Y Otero La Porte, Texas A&M University; M Cynthia Hipwell, Texas A&M University; David Christopher Seets, Texas A&M University; Karan Watson P.E., Texas A&M University; Guillermo Aguilar, Texas A&M University; Claire Bowman-Callaway, Texas A&M University

Tagged Divisions

Faculty Development Division (FDD)

? h. Strengths for you? i. Strengths of your colleagues?6. What are the weaknesses of the department for teaching? j. Weaknesses for you? k. What are the weaknesses of the department for improving and innovating teaching? l. Weaknesses for you? m. Weaknesses of your colleagues?7. What are the opportunities in the department for teaching? n. Opportunities for you? o. What are the opportunities in the department for improving and innovating teaching? p. Opportunities for you? q. Opportunities for your colleagues?8. What are the barriers in the department for teaching? r. Barriers for you? s. What

Conference Session

DSAI Technical Session 3: Integrating Data Science in Curriculum Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Karl D. Schubert FIET, University of Arkansas; Carol S Gattis, University of Arkansas; Stephen R. Addison, University of Central Arkansas; Tara Jo Dryer, University of Arkansas; Adam Musto, Arkansas Department of Education

Tagged Topics

Diversity

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

, business-aligned training. The program’s focus onmodular, flexible learning pathways ensures that participants can rapidly gain the skills needed forin-demand roles, supporting Arkansas’s economic growth and competitiveness in data-drivenindustries.As this initiative moves forward, its successes and lessons learned can serve as a model for otherstates seeking to build similar educational ecosystems. By fostering partnerships and leveraginginnovative educational strategies, Arkansas is positioning itself as a leader in addressing theworkforce challenges of the data-driven economy.References[1] “Data Scientist Jobs in Arkansas,” Indeed, Feb. 2025. [Online]. Available: https://www.indeed.com/q-data-scientist-l-arkansas-jobs.html. [Accessed: 17