Conference Session

Cooperative and Experiential Education Division (CEED): Assessment, Curriculum & Instructional Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shawna Fletcher, Texas A&M University; Magdalini Z Lagoudas, Texas A&M University

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

for project managementand ensure teams worked through a process to complete a project. Because the course was two-credit hours, a 50-minute lecture was scheduled weekly on Wednesday afternoon, and a one-hour(1hr)/40-minute lab was scheduled weekly for Friday morning. The lecture portion providedopportunities for instructors to inform students about weekly topics to be integrated into courseassignments and reports. The 1hr/40-minute lab sessions were less structured to allow for workingteam meetings, with individualized instructor support, and time for mock presentations, writing,or project planning sessions. The end result for the course was a 15-minute presentation with 5-minute Q&A session and a comprehensive report that allowed

Conference Session

ECCNE Technical Session 1 - Nuclear Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ira Harkness, University of Florida

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

/BF02211836/METRICS.[4] National Academy of Engineering, “The Engineer of 2020: Visions of Engineering in the New Century,” The Engineer of 2020, May 2004, doi: 10.17226/10999.[5] Q. Wang, J. Guo, R. Li, and X. ting Jiang, “Exploring the role of nuclear energy in the energy transition: A comparative perspective of the effects of coal, oil, natural gas, renewable energy, and nuclear power on economic growth and carbon emissions,” Environ Res, vol. 221, p. 115290, Mar. 2023, doi: 10.1016/J.ENVRES.2023.115290.[6] A. Verma, A. Campbell, J. P. Duarte, and A. Liebscher, “Reckoning with the wicked problems of nuclear technology: pedagogical philosophy, design, and method underlying a course on nuclear technology

Conference Session

Software Engineering Division (SWED) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mohit Chandarana, Codio; Sindhu Ramachandra, Codio; Joshua Ball, Codio; Maura Lyons, Codio; Phillip Snalune, Codio

Tagged Divisions

Software Engineering Division (SWED)

the effectiveness of LLMsin introductory computer science education: A semester-long field study. In Proceedings of the EleventhACM Conference on Learning @ Scale (pp. 63–74). Association for Computing Machinery.https://doi.org/10.1145/3657604.3662036[6] Zhang, Y., Sun, Y., & Li, Q. (2023). Adaptive feedback systems in STEM education: An AI-poweredapproach. International Journal of STEM Education, 10(1), 12-25.https://doi.org/10.1186/s40594-023-00321-4[7] Hellas, A., Leinonen, J., & Leppänen, L. (2024). Experiences from integrating large language modelchatbots into the classroom. In Proceedings of the 2024 ACM Virtual Global Computing EducationConference (pp. 46–52). Association for Computing Machinery. https://doi.org/10.1145

Conference Session

Materials Division (MATS) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Joshua Paul Steimel, Humboldt State University; JuEun Lee, Humboldt State University

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

, 1977.21. Simpson, E. H., "Measurement of Diversity," Nature, vol. 163, no. 4148, p. 688, 1949.22. Nguyen, Q., "The Use of Simpson’s Diversity Index to Develop a Diverse Community for the Enrichment of Experiential Learning," UReCA: The NCHC Journal of Undergraduate Research & Creative Activity, vol. 2017, p. 42, 2017.23. McLaughlin, J. E., et al., "Using Simpson's Diversity Index to Examine Multidimensional Diversity in Health Professions Education," Academic Medicine, vol. 91, no. 8, pp. 1132– 1139, 2016.

Conference Session

Minorities in Engineering Division(MIND) Technical Session 10

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abhijit Nagchaudhuri, University of Maryland Eastern Shore; Madhumi Mitra Ph.D, University of Maryland Eastern Shore; Aaron H. Persad, University of Maryland Eastern Shore; Yan Waguespack, University of Maryland Eastern Shore; Mary L Bowden, University of Maryland, College Park; Gilbert Lee Pinkett, University of Maryland Eastern Shore

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

before particular attention was paid to comparing the chemistry of lunar soil(simulant) with earth soil.The lead faculty also engaged the two students funded by the mini-grant to develop their seminarpresentation skills.Both student-faculty teams that received the mini-grants were required to give online presentationsone at the intermediate stage of project execution in the middle of the semester and one at the endof the semester. NASA MSTAR activity manager and coordinator, Maryland Space GrantDirectors, UMD collaborators, and the UMES PI and Co-PI of the DREAM project attendedpresentations, participated in the Q&A session that followed, and engaged with the students toencourage and motivate them.Figure 6 shows a screenshot of the

Conference Session

DSAI Technical Session 1: K–12 and Early Exposure to Data Science and AI

Collection

2025 ASEE Annual Conference & Exposition

Authors

Faiza Zafar, Rice University; Carolyn Nichol, Rice University; Matthew Cushing, Rice University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

. Conclusion Through this case study of two community college students, we illustrate how thePOWER platform's personalized and adaptive features offer benefits that traditional AI servicesmay lack. By addressing specific needs such as scholarship application assistance, careercounseling, and time management, the POWER platform and other AI-powered coachingservices have the potential to impact a large number of students who otherwise may not haveaccess to guidance counselors. References[1] L. Sontag-Padilla, et al., “Supporting the Mental Health Needs of Community College Students,” Rand Health Q, vol. 10, no. 4, p. 6, Sep. 2023, Accessed: Jan. 13, 2025. [Online]. Available: https

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

Rui Li, New York University

Tagged Divisions

First-Year Programs Division (FPD)

. 45, pp. 1834–1847, 2020. doi:10.1080/03075079.2019.1585420[12] G. N. Vik, “Doing more to teach teamwork than telling students to sink or swim,” *Bus.Commun. Q.*, vol. 64, no. 4, pp. 112–119, 2001.[13] D. E. McCorkle et al., “Undergraduate marketing students, group projects, and teamwork:The good, the bad, and the ugly?” *J. Mark. Educ.*, vol. 21, no. 2, pp. 106–117, 1999.[14] D. R. Bacon, “The effect of group projects on content-related learning,” *J. Manag. Educ.*,vol. 29, no. 2, pp. 248–267, 2005.[15] W. A. Neu, “Unintended cognitive, affective, and behavioral consequences of groupassignments,” *J. Mark. Educ.*, vol. 34, no. 1, pp. 67–81, 2012.[16] P. Aggarwal and C. L. O’Brien, “Social loafing on group projects: Structural antecedentsand

Conference Session

Broadening Participation in Civil Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bin (Brenda) Zhou, Central Connecticut State University

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering Division (CIVIL)

the remaining 25.0% were “somewhat satisfied” with thepanel discussion in the spring of 2023. The evaluation of in-class CTDOT presentations wasslightly better, with 17.7% “very satisfied” and 82.3% “satisfied”, possibly because of the well-participated Q&A section at the end. Both student surveys had one open-ended question to solicit comments and suggestionsregarding the EJI module of this course. In the first year, one student commented, “I believe thatthe research and writing component of the class were a bit much.” As a result, three questions onthe EJI team project assignment were added to the second-year survey. All the seventeenrespondents agreed that the EJI team project helped them better understand EJI issues/topics

Conference Session

Diversity, Inclusion, and Representation in STEM

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nina D Miville, University of Miami

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division (COMMENG)

Quora.com(2018),retrieved February 5, 2024 from https://www.quora.com/Why-arent-there-more-female-engineers?q=%E2%80%9CWhy%20aren%E2%80%99t%20there%20more%20female%20engineers%2C%E2%80%9D%20.[13] Society of Women Engineers, “Engineering Messaging to Tween Girls”, 2018, Retrieved3/23/2024 from https://swe.org/research/2018/engineering-messaging-to-tween-girls-a-review-of-the-literature/.[14] ABET, “Criteria for Accrediting Engineering Programs, 2024-2025”, Retrieved 3/23/2024from https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2024-2025/#GC2[15] Anderson-Rowland, M. (2003, June), Why Aren't There More Women in Engineering: CanWe Really Do Anything? Paper presented at 2003 Annual Conference

Conference Session

Design in Engineering Education Division (DEED) - Embedding Industry in Design Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Liling Huang, George Mason University; Kursten Szabos, George Mason University; Allyson Eastman, Google

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

the industry panel, featuring representatives from AESCorporation, AWS, Dominion Energy, NOVEC, Hispanics in Energy, MPR Associates, andSHINE. Moderated by the leaderships of Dominion Energy and AWS, the panel providedvaluable insights into the energy sector’s trends, challenges, and career opportunities. Studentsengaged in a Q&A session, deepening their understanding of the field and building professionalconnections.Developing Sustainable Connected CommunitiesThe group project was the "Sustainable Connected Communities" initiative. Students weretasked with designing a model community incorporating renewable energy sources such as solarpanels and wind turbines, alongside energy-efficient buildings, green spaces, and

Conference Session

DSAI Technical Session 8: Learning Analytics and Data-Driven Instruction

Collection

2025 ASEE Annual Conference & Exposition

Authors

Selena Johnson, Rowan University; Paromita Nath, Rowan University; Smitesh Bakrania, Rowan University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

083–12 121, 2022. [4] C. Guzm´an-Valenzuela, C. G´omez-Gonz´alez, A. Rojas-Murphy Tagle, and A. Lorca-Vyhmeister, “Learning analytics in higher education: a preponderance of analytics but very little learning?” International Journal of Educational Technology in Higher Education, vol. 18, pp. 1–19, 2021. [5] B. Rienties, Q. Nguyen, W. Holmes, and K. Reedy, “A review of ten years of implementation and research in aligning learning design with learning analytics at the open university uk,” Interaction Design and Architecture (s), vol. 33, pp. 134–154, 2017. [6] A. S. Alzahrani, Y.-S. Tsai, S. Iqbal, P. M. M. Marcos, M. Scheffel, H. Drachsler, C. D. Kloos, N. Aljohani, and D. Gasevic, “Untangling connections between challenges

Conference Session

Industry and Technical Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ruidong Ma, University of Washington; Frank Gao, University of Washington; Renee M. Desing, University of Washington

Tagged Divisions

Student Division (STDT)

on their performance and behavior. 5. Spontaneous or planned Q&A sessions to probe students' understanding of the subject matter. 6. Students work in groups and receive feedback on their collaboration and understanding of the content. We used the final project, including the term paper and presentation, as the summativeassessments for the course, to evaluate overall achievement of the learning objectives. For the finalproject, students work together in teams to write a term paper and prepare a presentation on a topicof their choice. Students were tasked with exploring lesser-known artificial organs/tissues,applying the same analytical approach used for major artificial organs discussed in the class

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Caroline Crockett, University of Virginia

Tagged Divisions

Computing and Information Technology Division (CIT)

steps. We also providelinks to code documentation and ask students to look up how to use library functions.Figure 1: Example course schedule. Q## represent weekly review quizzes. These are low-stakes opportu-nities for constructive feedback and automatically graded using a learning management system. Anecdotalevidence suggests students find the hands-on activities particularly motivating and fun.The next algorithm in the course is the k-means clustering algorithm, which naturally builds on thedistance and vector notation from kNN. K-means involves iterating between a centroid update step(calling a mean function) and a class update step (a call to the kNN algorithm). This progressionlends itself to a conversation about the differences between

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)

AfricaResearch Journal, vol. 112, (4), pp. 181–188, 2021.[9] I. S. Osunbunmi et al, "Board 45: Generative artificial intelligence (GAI)-assisted learning:Pushing the boundaries of engineering education." in 2024 ASEE Annual Conference &Exposition, 2024.[10] Q. Zhang, "Secure preschool education using machine learning and metaversetechnologies," Appl. Artif. Intell., vol. 37, (1), pp. 2222496, 2023.[11] P. S. Ralston, T. R. Tretter and M. K. Brown, "Implementing collaborative learning acrossthe engineering curriculum," Journal of the Scholarship of Teaching and Learning, vol. 17, (3),pp. 89–108, 2017.[12] X. Du et al, "Development of critical reflection for transformative learning of engineeringeducators in a PBL-based professional learning program

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)

9th Research in Engineering Education Symposium (REES2021) and 32nd Australasian Association for Engineering Education Conference (REES AAEE2021), Perth, WA, Australia: Research in Enineering Education Network (REEN), 2022, pp. 65–73. doi: 10.52202/066488-0008.[15] Q. Islam and S. M. F. A. Khan, “Understanding deep learning across academic domains: Astructural equation modelling approach with a partial least squares approach,” ijirss, vol. 7, no. 4,pp. 1389–1407, Aug. 2024, doi: 10.53894/ijirss.v7i4.3408.[11] R. Marquez et al., “A perspective on the synergistic potential of artificial intelligence andproduct-based learning strategies in biobased materials education,” Education for ChemicalEngineers, vol. 44, pp. 164–180, Jul. 2023, doi

Conference Session

ERM Technical Session: Quantitative Instrument Development

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ethan Peter Lum Cisneros, Northwestern University; David P O'Neill, Northwestern University

Tagged Divisions

Educational Research and Methods Division (ERM)

Ideology, and Collective Identity,” SexRoles, vol. 68, no. 7–8, pp. 415–426, 2013, doi: 10.1007/s11199-013-0258-3.[27] M. McMurran, D. Weisbart, and K. Atit, “The relationship between students’ gender andtheir confidence in the correctness of their solutions to complex and difficult mathematicsproblems,” Learn. Individ. Differ., vol. 107, p. 102349, 2023, doi: 10.1016/j.lindif.2023.102349.[28] A. Bielefeldt, J. Tisdale, K. Ramos, and M. Soltys, “Confidence, Identity, and BelongingAmong Engineering and Engineering-Interested Students in a First-Year Engineering DesignCourse,” 2023 Rocky Mt. Sect. Conf. Proc., 2023, doi: 10.18260/1-2-1113-44948.[29] Q. Xiao and X. Li, “The analysis of ‘women reports’ in a Chinese newspaper during#MeToo: a case study

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 8: Communication and Liberal Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Catherine Woodworth Wong, University of New Hampshire; Cynthia Helen Carlson PE, PhD, Merrimack College

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

,” CommunicateHealth. Accessed: Jan. 03, 2025. [Online]. Available: https://communicatehealth.com/about-us/[20] P. E. Johnson Jr., C. J. Perrin, A. Salo, E. Deschaine, and B. Johnson, “Use of an explicit rule decreases procrastination in university students,” J. Appl. Behav. Anal., vol. 49, no. 2, pp. 346–358, Jun. 2016, doi: 10.1002/jaba.287.[21] A. Miyake and M. J. Kane, “Toward a Holistic Approach to Reducing Academic Procrastination With Classroom Interventions,” Curr. Dir. Psychol. Sci., vol. 31, no. 4, pp. 291–304, Aug. 2022, doi: 10.1177/09637214211070814.[22] C. Pellegrino, “Does Telling Them to Ask for Help Work?: Investigating Library Help- Seeking Behaviors in College Undergraduates,” Ref. User Serv. Q., vol. 51, no. 3, pp. 272

Conference Session

ERM Technical Session: A Focus on Faculty Experiences & Perceptions

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ibukunoluwa Eunice Salami, University of Nebraska - Lincoln; Kasey Moomau, University of Nebraska - Lincoln; Tareq Daher, University of Nebraska - Lincoln; Jessica Deters, University of Nebraska - Lincoln; Yusong Li, University of Nebraska - Lincoln; Ursula Nguyen, University of Nebraska - Lincoln; Lance C. Pérez, University of Nebraska - Lincoln; Logan Andrew Perry, University of Nebraska - Lincoln; Markeya Peteranetz, University of Nebraska - Lincoln; Trish Wonch Hill, University of Nebraska - Lincoln

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

/CBO9781139013451.028.[2] E. Godfrey, “A Theoretical Model Of The Engineering Education Culture: A Tool For Change,” in Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition, Nashville, Tennessee, 2003, pp. 1–15. Accessed: Apr. 29, 2025. [Online]. Available: https://scholar.googleusercontent.com/scholar?q=cache:fJHh55Bl5HIJ:scholar.google.com/ +Godfrey+2003+culture&hl=en&as_sdt=0,28[3] K. L. Tonso, “ENGINEERING GENDER−GENDERING ENGINEERING: A CULTURAL MODEL FOR BELONGING,” J. Women Minor. Sci. Eng., vol. 5, no. 4, 1999, doi: 10.1615/JWomenMinorScienEng.v5.i4.60.[4] R. M. Hall and B. R. Sandler, “The Classroom Climate: A Chilly One for Women?,” Project on the Status and

Conference Session

DSAI Technical Session 8: Learning Analytics and Data-Driven Instruction

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alyson Grace Eggleston, Pennsylvania State University; Robert J. Rabb P.E., The Pennsylvania State University; Eric Donnell, The Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

whilearming leaders with the information they need to adapt programs to shifting needs of theinstitution, funding agency, or national security priorities. With these tools, researchadministrators are better equipped to steer innovation and maximize the impact of early-stagefunding.References[1] 2024 EDUCAUSE Horizon Action Plan: Unified Data Models. https://library.educause.edu/resources/2024/3/2024-educause-horizon-action-plan-unified- data-models[2] W. Strielkowski, A. Samoilikova, L. Smutka, L. Civín, and S. Lieonov, “Dominant trends in intersectoral research on funding innovation in business companies: A bibliometric analysis approach,” in Journal of Innovation & Knowledge, 7(4), 100271, 2022.[3] A. Molnar, A. F. McKenna, Q Liu, M

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eesha tur razia babar; Ahmed Ashraf Butt, University of Oklahoma

Tagged Divisions

Computers in Education Division (COED)

/datasets/thedevastator/medical-student-mental-health. [Accessed: 14-Jan-2025].[26] “UCI machine learning repository,” Uci.edu. [Online]. Available: https://archive.ics.uci.edu/dataset/697/predict+students+dropout+and+academic+success. [Accessed: 15-Jan-2025].[27] Kaggle.com. [Online]. Available: https://www.kaggle.com/datasets/aljarah/xAPI-Edu-Data. [Accessed: 15-Jan-2025].[28] N. V. Chawla, K. W. Bowyer, L. O. Hall, and W. P. Kegelmeyer, “SMOTE: Synthetic minority over-sampling technique,” J. Artif. Intell. Res., vol. 16, pp. 321–357, 2002.[29] A. Dutt, M. A. Ismail, and T. Herawan, “A systematic review on educational data mining,” IEEE Access, vol. 5, pp. 15991–16005, 2017.[30] H. Wang, Q. Liang, J. T. Hancock, and T. M

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Johannes Kubasch, University of Wuppertal; Dominik May, University of Wuppertal; Doha Meslem, Bergische Universität Wuppertal

Tagged Divisions

Computers in Education Division (COED)

, I. González, and J. E. López de Vergara, "Naturallanguage processing for web browsing analytics: Challenges, lessons learned, andopportunities," Computer Networks, vol. 198, 108357, 2021. [Online]. Available:https://doi.org/10.1016/j.comnet.2021.108357E. A. Heil, Methode der systematischen Literaturrecherche. Justus-Liebig-UniversitätGießen, 2021. [Online]. Available: http://dx.doi.org/10.22029/jlupub-17189F. Farhi, R. Jeljeli, I. Aburezeq, F. F. Dweikat, S. A. Al-shami, and R. Slamene, "Analyzingthe students' views, concerns, and perceived ethics about ChatGPT usage," Computers andEducation: Artificial Intelligence, vol. 4, 100180, 2023. [Online]. Available:https://doi.org/10.1016/j.caeai.2023.100180H. Du, Q. Jia, E. Gehringer, and X. Wang

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Susannah Cooke, ANSYS, Inc.; Kaitlin Tyler, ANSYS, Inc.

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

. 2, pp. 248–253, 2005.[9] J. Q. Dawson, M. Allen, A. Campbell, and A. Valair, “Designing an introductory programming course to improve non-majors’ experiences,” in Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018, pp. 26–31.[10] L. J. De Vin and M. Jagstam, “Why we need to offer a modeling and simulation engineering curriculum,” in Proceeding of the 2001 Winter Simulation Conference (Cat. No. 01CH37304), IEEE, 2001, pp. 1599–1604.[11] D. I. Spang, “Curriculum design and assessment to address the industry skills gap,” in 2014 ASEE Annual Conference & Exposition, 2014, pp. 24–345.[12] A. J. Magana, “Modeling and simulation in engineering education: A learning

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michaela Harper, Utah State University; Cassandra J McCall, Utah State University; Daniel Kane, Utah State University; Wade H Goodridge, Utah State University; Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University

Tagged Divisions

Computers in Education Division (COED)

Education: Policies for the Future," European Commission, 2018.[9] K.-Q. Zhou and H. Nabus, "The Ethical Implications of DALL-E: Opportunities and Challenges," Mesopotamian Journal of Computer Science, vol. 2023, pp. 16-21, 2023.[10] Ü. Avcı, "Students’ GAI Acceptance: Role of Demographics, Creative Mindsets, Anxiety, Attitudes," Journal of Computer Information Systems, pp. 1-15, 2024.[11] H. Johnston, F. R. Wells, E. M. Shanks, T. Boey and B. N. Parsons, "Student perspectives on the use of generative artificial intelligence technologies in higher education," International Journal for Educational Integrity, vol. 20, no. 2, 2024.[12] J. Liang, L. Wang, J. Luo, Y. Yan and C. Fan, "The relationship between student interaction with

Conference Session

Construction Engineering Division (CONST) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sanjeev Adhikari, Kennesaw State University; Arbaaz Hussain Syed; Sandeep Langar, The University of Texas at San Antonio; Rachel Mosier P.E., Oklahoma State University

Tagged Divisions

Construction Engineering Division (CONST)

International Journal, vol. 26, (4), pp. 1210–1232, 2019.[6] B. Succar, "Building information modelling framework: A research and delivery foundation for industry stakeholders," Autom. Constr., vol. 18, (3), pp. 357–375, 2009.[7] C. El Hajj, G. Martínez Montes and D. Jawad, "An overview of BIM adoption barriers in the Middle East and North Africa developing countries," Engineering, Construction and Architectural Management, vol. 30, (2), pp. 889–913, 2023.[8] Q. Lu et al, "From BIM towards digital twin: strategy and future development for smart asset management," Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2019 9, pp. 392–404, 2020.[9

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lekshmi Sasidharan, University of Arkansas; Rajani Muraleedharan, Saginaw Valley State University; Tina Thomas

Tagged Topics

Diversity

Tagged Divisions

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

trends in STEM workforce andeducation", Jan 30, 2023.[10] Baker, Kerrie Q. et al. “A Campus Survey of Faculty and Student Perceptions of Personswith Disabilities.” The Journal of Postsecondary Education and Disability 25: 309-329, 2012.Appendix I: The following questionnaire was provided to the institutions to gather data.Institution Type: 1. Institution Type: o Research-Focused University (R1) o Teaching-Focused University (R2) o Community College o Minority-Serving Institution o Other (Please specify): _______________General Institutional Information:1. How many students with documented learning disabilities have requested accommodationsat your institution over the past academic year? o Less

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)

Publications. [24] Bali, M. (2017). ‘Against the 3A’s of EdTech: AI, Analytics, and AdaptiveTechnologies in Education’. The Chronicle of Higher Education. Available at:https://www.chronicle.com/blogs/profhacker/against-the-3as-of-edtechai-analytics-and-adaptive-technologies-ineducation/64604 [25] Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI ineducation. UCL Knowledge Lab. https://www.pearson.com/ [26] Brennan, K., & Resnick, M. (2012). Using artifact-based interviews to study thedevelopment of computational thinking in interactive media design. Paper presented at the AnnualAmerica Educational Research Association meeting, Vancouver, BC, Canada. [27] Kafai, Y. B., & Burke, Q. (2015

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ying Wang, FHI 360; Emily Bolger; Rachel L Renbarger; Taylor Boyd, Western Michigan University; Noah D Finkelstein, University of Colorado Boulder; Charles Henderson, Western Michigan University ; Andrea L Beach, Western Michigan University; Scott P. Simkins, North Carolina A&T State University; Marcos Caballero

Tagged Topics

NSF Grantees Poster Session

original method to synthesize qualitative literature in psychiatry,” Front. Psychiatry, vol. 8, Dec. 2017, doi: 10.3389/fpsyt.2017.00269.[3] E. J. Erwin, M. J. Brotherson, and J. A. Summers, “Understanding qualitative metasynthesis: Issues and opportunities in early childhood intervention research,” J. Early Interv., vol. 33, no. 3, pp. 186–200, Sep. 2011, doi: 10.1177/1053815111425493.[4] K. Thunder and R. Q. Berry, “Research commentary: The promise of qualitative metasynthesis for mathematics education,” Journal for Research in Mathematics Education, vol. 47, no. 4Jul. 2016, doi: 10.5951/jresematheduc.47.4.0318.[5] M. J. Page et al., “The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,” Int. J

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jessica Swenson, University at Buffalo, The State University of New York; Mary McVee; Duncan H Mullins, University at Buffalo, The State University of New York

Tagged Topics

Diversity, NSF Grantees Poster Session

, pp. 1–5. doi: 10.1109/fie61694.2024.10892971.[3]​ J. Swenson and M. McVee, “Board 252: Elementary Teacher Professional Learning in Equitable Engineering Pedagogies for Multilingual Students,” Am. Soc. Eng. Educ., 2024.[4]​ O. García and T. Kleyn, Eds., Translanguaging with multilingual students: learning from classroom moments. New York ; London: Routledge, Taylor & Francis Group, 2016.[5]​ O. García and J. A. Kleifgen, “Translanguaging and Literacies,” Read. Res. Q., vol. 55, no. 4, pp. 553–571, Oct. 2020, doi: 10.1002/rrq.286.[6]​ O. García and L. Wei, Translanguaging. London: Palgrave Macmillan UK, 2014. doi: 10.1057/9781137385765.[7]​ J. Utley, T. Ivey, R. Hammack, and K. High, “Enhancing engineering education in the

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alaine M Allen, Carnegie Mellon University; Darlene Saporu; Yao Wang; Linda DeAngelo, University of Pittsburgh; Andrew Douglas, The Johns Hopkins University; Nathalie Florence Felciai, New York University Tandon School of Engineering; Neetha Khan, Carnegie Mellon University; Stacey J Marks, The Johns Hopkins University; Lisa A. Porter, Carnegie Mellon University; William Harry Sanders, Carnegie Mellon University; Tuviah E. Schlesinger, The Johns Hopkins University; Charlie Díaz, University of Pittsburgh; Blayne D. Stone, University of Pittsburgh; Prisca Collins; Katharine Phelps Walsh, Carnegie Mellon University, College of Engineering

Tagged Topics

Diversity, NSF Grantees Poster Session

Dean’s office reviews the report as part of the approval process for making theoffers. In the promotion and tenure process, the NYU Provost Office with the Center for FacultyAdvancement recently developed and offered training for faculty involved in various stages of the review,including those at the Dean’s office, the school level faculty review committee members, the departmentchairs, and the department review committee members. In addition, NYU Tandon School of Engineeringoffers annual Q&A sessions to all tenure-track faculty regarding the mid-tenure review and tenure reviewprocess, with input from selected department chairs and members of the Tandon School Tenure andPromotion Committee. NYU also recently revised the Guidelines for Tenure

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Xianglong Wang, University of California, Davis; Tiffany Marie Chan, University of California, Davis; Angelika Aldea Tamura, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

, S. Thomas, M. Subramoniam, J. Arun, S. Naveen, and S. Madhu, "A Review of Machine Learning Algorithms for Biomedical Applications," Annals of Biomedical Engineering, vol. 52, no. 5, pp. 1159-1183, 2024.[3] C. Wu, B. Wan, A. Entezari, J. Fang, Y. Xu, and Q. Li, "Machine learning-based design for additive manufacturing in biomedical engineering," International Journal of Mechanical Sciences, vol. 266, p. 108828, 2024.[4] H. Chen, Y. Liu, S. Balabani, R. Hirayama, and J. Huang, "Machine learning in predicting printable biomaterial formulations for direct ink writing," Research, vol. 6, p. 0197, 2023.[5] P. G. Jacobs et al., "Artificial intelligence and machine learning for improving glycemic