Learning and Relations Within Social Change Making,” Cogn. Instr., vol. 34, no. 3, pp. 173–193, Jul. 2016, doi: 10.1080/07370008.2016.1181879.[4] J. Utley, T. Ivey, R. Hammack, and K. High, “Enhancing engineering education in the elementary school,” Sch. Sci. Math., vol. 119, no. 4, pp. 203–212, Apr. 2019, doi: 10.1111/ssm.12332.[5] E. Milto, M. Portsmore, M. McCormick, J. Watkins, and M. M. Hynes, Novel Engineering, K–8: An Integrated Approach to Engineering and Literacy. NSTA Press Book, 2020.[6] J. Watkins et al., “Data‐based conjectures for supporting responsive teaching in engineering design with elementary teachers,” Sci. Educ., vol. 102, no. 3, pp. 548–570, May 2018, doi: 10.1002/sce.21334.[7] M. M. Hynes, C. Mathis, S
and all the employees, faculty, and volunteers who support the makerspacewhere the analysis was conducted. This work was made possible through the support of theNational Science Foundation under grants 2013505 and 2013547. Any opinions, findings, orconclusions found herein do not necessarily reflect the views of NSF and its employees.References[1] S. Blair, C. Crose, J. Linsey, and A. Layton, "The Effects of COVID-19 on Tool Usage in an Academic Makerspace," presented at the ASEE 2023 Conference & Exposition, Baltimore, Maryland, USA, June 25-28, 2023.[2] C. Kaat, S. Blair, A. Layton, and J. Linsey, "A Study of Makerspace Health and Student Tool Usage During and After the COVID-19 Pandemic," Design Science
.[5] Latchoomun, L., et al. “Quantifying the Pumping Energy Loss Associated with DifferentTypes of Leak in a Piping System.” International Conference on Emerging Trends in Electrical,Electronic and Communications Engineering. Springer, Cham, 2016.[6] Parr, Andrew. “Hydraulic Pumps and Pressure Regulation.” Hydraulics and Pneumatics(2011): 31-49.[7] Love, Lonnie J., Eric Lanke, and Pete Alles. "Estimating the impact (energy, emissions andeconomics) of the US fluid power industry." Oak Ridge National Laboratory, Oak Ridge,TN (2012).[8] Choudhury, Alamgir A., and Rodriguez, Jorge. "A Modular System for Energy EfficiencyStudy of Hydraulic Applications." 2016 ASEE Annual Conference & Exposition. 2016.[9] James, A. Sullivan. “Fluid power theory
school students are nonwhite. 8As we look at the numbers provided by ASEE for the year 2019, we can see the sharp decline once you get beyond white fulltime professors. (13,275 total)• 61% white• 27% Asian• 5% unknown• 4% Latino• 2% Black• .4% multiracial• .2% Native American• .1% Hawaiian 9Here we see a decline in the percentage of white assistant professors, and a small increase in Asian professors, and an infinitesimal increase in the other racial identities. (total of 6,882)• 50% white• 33% Asian• 9% Unknown• 4% Latino• 3% Black• 1% multiracial• .2% Native American• .2
effective one. This technique wasfirst introduced by (Wood, Burner, and Ross, 1976) and has been used by many educators inengineering education (Newstetter, 2005, Nelson, 2012, MccLeod & van der Veen, 2019). Thescaffolding technique typically involves teaching a concept, reinforcing the concept, and taking astep back to allow students to connect the concepts to practice. The authors applied this techniqueby structuring the training sessions such that the lectures, in-class activities, and laboratorysessions are staged to create alternating opportunities for classroom and hands-on learning.Planned Training StructureBasic engineering concepts are first taught in the classroom by relating back to what theparticipants see in the field. The training
used to illustrate theprofessional standards and demonstrate the expected future math courses requirement. Thestudent projects were implemented at an introductory level. The introduction of Kalman filtertechnique started with the 2001 ASEE article titled “Teaching Kalman Filters To UndergraduateStudents” [9], and then followed by the 2012 IEEE tutorial article on Kalman filter [10].The AI driven plasma simulation project implementation was based on the software products ofErgodic, a software simulation company partner of the Rochester Fusion Consortium [11]. Thedata fitting to extract plasma parameters such electron density and temperature from theThomson scattering spectra via Python codes has been published by Ergodic on Github for
in engineeringentrepreneurship education,” Entrepreneurship Education and Pedagogy, 3(1), 4-13, 2020.Available: https://doi.org/10.1177/2515127419890828[2] P. Weilerstein and A. Shartrand, A, “A decade of technological innovation: A retrospectiveview of the first decade of the NCIIA,” ASEE Annual Conference and Exposition, ConferenceProceedings, Pittsburgh, PA, 2008. Available: http://www.scopus.com/inward/record.url?eid=2-s2.0-56749132141&partnerID=tZOtx3y1[3] J. Blessing, K. Mekemson, and D. Pistrui, “Building an entrepreneurial engineeringecosystem for future generations: The Kern Entrepreneurship Education Network,” ASEEAnnual Conference & Exposition, Pittsburgh, PA, 2008. Available: https://peer.asee.org/3488.[4] S. Sheppard, S
. Pallitt and K. Wolff, "Learning to teach STEM disciplines in higher education: A critical review of the literature," Teaching in Higher Education, vol. 24, no. 8, pp. 930-947, 2019.[2] D. Varas, M. Santana, M. Nussbaum, S. Claro and P. Imbarack, "Teachers’ strategies and challenges in teaching 21st century skills: Little common understanding," Thinking Skills and Creativity, vol. 48, p. 101289, 2023.[3] H. Jang, "Identifying 21st century STEM competencies using workplace data," Journal of Science Education and Technology, vol. 25, no. 2, pp. 284-301, 2016.[4] D. Tan, "The Significance of Integrating Engineering Design-Based Instruction in STEM Education," Science Insights Education Frontiers, vol. 24, no. 1, pp. 3827-3829, 2024
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Enhancing Professionalism Education in Sophomore Engineering through Active Learning Shinae Jang School of Civil and Environmental Engineering University of Connecticut Storrs, United States Shinae.jang@uconn.edu Abstract—Professionalism education is a critical component This gap leaves students with limited opportunities to developof engineering curricula to
identity,development and socialization, especially among underrepresented minorities and women. Wehave also aimed to identify key characteristics of academic or non-academic spaces, structuredby the program, that foster STEM identity development.References[1] U. Ghosh-Dastidar, D. Samaroo, A. Solis, and S. Han, “S-STEM: An Educational Model for Retention at an Urban Institution,” 2018 ASEE Annual Conference & Exposition, 2018.[2] Institutional Description [Online] Available: https://facultycommons.citytech.cuny.edu/sponsored-programs/institutional-description/ . [Accessed: 28 Feb. 2023].[3] U.S. News and World Report [Online] Available: https://www.usnews.com/best- colleges/cuny-tech-2696 [Accessed 28 Feb
continueadopting academic and community partnerships as an effective student learning model. 6References [1] A. Dominguez, H. Alarcon, and F. Garc´ıa-Pe˜nalvo, “Active Learning Experiences in Engineering Education,” 2019. [2] M. Prince, “Does Active Learning Work? a Review of the Research,” Journal of engineering education, vol. 93, no. 3, pp. 223–231, 2004. [3] A. Shekar, “Project-Based Learning in Engineering Design Education: Sharing Best Practices,” in 2014 ASEE Annual Conference & Exposition, 2014, pp. 24–1016. [4] M. L. Fioravanti and et.al, “Integrating Project Based Learning and Project Management for Software Engineering Teaching: An Experience Report,” in Proceedings of the
. J. Eng. Educ. 111, 2 (April 2022), 357–375. [2] Jill Davishahl and Sura Alqudah. 2020. Investigation of sense of belonging to engineering in introductory-level pre-engineering classes. In 2020 ASEE Virtual Annual Conference Content Access Proceedings (Virtual On line). ASEE Conferences. [3] E.L. Deci, H. Eghrari, B.C. Patrick, and D. Leone. 1994. Facilitating internalization: The self determination theory perspective. Journal of Personality 62 (1994), 119–142. [4] E.L. Deci and R.M. Ryan. 2012. Self-determination theory. In Handbook of theories of social psychology, P.A.M. van Lange, A.W. Kruglanski, and E.T. Higgins (Eds.). Sage Publications Ltd., 416–436. [5] C.S. Dweck. 2006. Mindset: The new psychology of success
Cell/Diesel Generator Energy System for Dubai Ferry," 2019 Advances in Science and Engineering Technology International Conferences (ASET), 2019, pp. 1-5, doi: 10.1109/ICASET.2019.8714292.[10] A. Dicks, "Hydrogen generation from natural gas for the fuel cell systems of tomorrow," Journal of Power Sciences, vol. 61, no. 1-2, pp. 113-124, Apr. 1996, doi: 10.1016/S0378- 7753(96)02347-6.[11] A. Salazar Llinas, E. Ortiz-Rivera, and J. Gonzalez-Llorente, "Dynamic Power Control of a PV-Fuel Cell Hybrid Energy System Used in DC Motors Applications," 2014 IEEE Green Technologies Conference. 49-53. 10.1109/GREENTECH.2014.19.[12] M. Perez, Ph. Rogers, J. Buchert, D. Sullivan, and T. Emami, "Design and Efficiency Analysis of a
," 2010 IEEE Frontiers in Education Conference (FIE), 2010, pp. S3G-1-S3G-6, doi: 10.1109/FIE.2010.5673256. 2. Rahman, F., & Andrews, C., & Wendell, K. B., & Batrouny, N. A., & Dalvi, T. S. (2019, June), Elementary Students Navigating the Demands of Giving Engineering Design Peer Feedback (Fundamental) Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. 10.18260/1-2--32699 3. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40. https://doi.org/10.1037/0022-0663.82.1.33 4. Pintrich, P. R., Marx, R., & Boyle, R. (1993). Beyond
Covid-19 on Applied MathematicsCourses for Engineering Students. In 2022 ASEE Annual Conference & Exposition.[2] Besser, A. et al. (2020) ‘Adaptability to a sudden transition to online learning during the COVID-19pandemic: Understanding the challenges for students.’, Scholarship of Teaching and Learning inPsychology. doi:10.1037/stl0000198.[3] Faulkner, B., Earl, K. and Herman, G. (2019) ‘Mathematical Maturity for Engineering Students’,International Journal of Research in Undergraduate Mathematics Education, 5(1), pp. 97–128.doi:10.1007/s40753-019-00083-8.[4] Jamalpur, B. et al. (2021) ‘A comprehensive overview of online education – Impact on engineeringstudents during COVID-19’, Materials Today: Proceedings. doi:10.1016/j.matpr.2021.01.749
, “Transgender and Gender Nonconforming Undergraduate Engineering Students: Perspectives, Resiliency, and Suggestions for Improving Engineering Education.” Ph.D. thesis, Oregon State University, Corvallis, OR, 2021.[3] S. James, J. Herman, S. Rankin, M. Keisling, L. Mottet, and M. Anafi, “The Report of the 2015 U.S. Transgender Survey,” National Center for Transgender Equality, 2016.[4] G. Beemyn, “Campus Pride Trans Policy,” Clearinghouse, 2021, Available: www.campuspride.org/tpc[5] R. Figard, M. Dalal, J. Roarty, S. Nieto, and A. Carberry, “Understanding High School Student Experiences in an Engineering Course Designed For All (Fundamental, Diversity),” In Proc. ASEE Annual Conference & Exposition, 2022
faculty mentors, and develop more effective techniques for faculty mentoring.References1. M. Klawe, “Why We Need More STEM Students to Study Abroad,” Forbes, Mar 6, 2019. [Online]. https://www.forbes.com. [Accessed February 21, 2023].2. R. Jones and B. Oberst, International Experience for Engineering Students through Distance Learning Techniques. ASEE 2000 Annual Conference Session 2360. 2000.3. ABET Criterion. https://www.abet.org/accrediation. [Accessed February 15, 2023].4. S. Gerras et al. Strategic Leadership Primer. Army War College, Carlisle Barracks PA, 2010.5. J. Schreiner and G. Dixon. The Engineering Management Handbook 3rd Edition, Chapter 1 The Engineering Management Profession. The American Society for Engineering Management
conference papers and book chapters.Mr. Ryan Hare, Rowan University Ryan Hare received his B.S. in Electrical and Computer Engineering from Rowan University in 2019. He is currently pursuing his Ph.D. in Electrical and Computer Engineering at Rowan University. His current research focus is applying artificial intelligence methods to create enhanced educational systems and improve student learning. Further interests include serious games, intelligent tutoring systems, adaptive or intelligent educational systems, and leveraging student data to enhance learning. American c Society for Engineering Education, 2022 Evaluation of an AI-assisted Adaptive Educational
) and desired personal characteristics for the graduatestudents (e.g., critical thinking, problem-solving approach, data preparation, analytics, andpresentation). The contributions from the advisory board were the driving force for the newdirection and strategy for the graduate program. Industry professionals suggested and inputsfrom the board were successfully incorporated.A study by Stelyn (2019) suggested the perception of students played an important role in thestructure for the new course providing a learning experience. The student feedback and studentfocus group were used in generating new course structure, operations, and the course impact fortheir career. Student evaluations of teaching and learning and student suggestions on
; Carberry, A. R. (2021, January). Practicing Engineers’ Definition of Their Expertise: Emergent Themes and Frequency by Gender Identity and Role Change into Management. In ASEE Annual Conference proceedings.[10] Miskioglu, E., Martin, K. M., Carberry, A. R., Bolton, C., & Caitlyn, A. (2021, January). Is it Rocket Science or Brain Science? Developing an Approach to Measure Engineering Intuition. In ASEE Annual Conference proceedings.[11] D. R. Laker and J. L. Powell, “The differences between hard and soft skills and their relative impact on training transfer,” Human Resource Development Quarterly, vol. 22, no. 1, pp. 111–122, 2011, doi: https://doi.org/10.1002/hrdq.20063.[12] Cech, T. R. (1999). Science at liberal
communities.The next steps of this program will be to begin developing qualitative and quantitativeassessments of student impact and to work towards establishing metrics for the “Value to thePartners” activity. This will allow a more formal assessment of the functionality of thepartnership. These efforts will help understand and balance the trade-offs between student andcommunity outcomes while providing value to the partners.References[1] “Criteria for Accrediting Engineering Programs, 2019 – 2020 | ABET.” ABET, 2019.[2] E. De Graaff and W. Ravesteijn, “Training complete engineers: Global enterprise and engineeringeducation,” Eur. J. Eng. Educ., vol. 26, no. 4, pp. 419–427, Dec. 2001, doi:10.1080/03043790110068701.[3] J. Lucena, G. Downey
, and E. L. Diaz, “Education and building capacity for improving resilience of coastal infrastructure,” ASEE Annu. Conf. Expo. Conf. Proc., 2019, doi: 10.18260/1-2--32686.[5] C. L. Lopez del Puerto, H. E. Cavallin, J. L. Perdomo, J. M. Barreto, O. M. Suarez, and F. Andrade, “Developing a collaborative undergraduate STEM program in resilient and sustainable infrastructure,” ASEE Annu. Conf. Expo. Conf. Proc., 2019, doi: 10.18260/1- 2--32629.[6] C. López del Puerto, I. Pagán-Trinidad, L. Aponte-Bermúdez, and S. Adams, “NUEVOS CÓDIGOS DE CONSTRUCCIÓN 2018 Y EDUCACIÓN PARA MEJORAR LA RESILIENCIA DE LA INFRAESTRUCTURA COSTERA EN PUERTO RICO 1 NEW BUILDING CODES 2018 AND EDUCATION TO IMPROVE
, 2022).[20] L. B. Wheeler, S. L. Navy, J. L. Maeng, and B. A. Whitworth, “Development and validation of the Classroom Observation Protocol for Engineering Design (COPED),” J. Res. Sci. Teach., vol. 56, no. 9, pp. 1285–1305, 2019, doi: 10.1002/tea.21557.[21] D. L. Reinholz and N. Shah, “Equity Analytics: A Methodological Approach for Quantifying Participation Patterns in Mathematics Classroom Discourse,” J. Res. Math. Educ., vol. 49, no. 2, pp. 140–177, Mar. 2018, doi: 10.5951/jresematheduc.49.2.0140.[22] M. Sanders, S. Spiegel, and J. Zoltners, “Moving Beyond ‘Does Active Learning Work?’ with the Engineering Learning Observation Protocol,” presented at the ASEE Annual Conference & Exposition, Salt Lake City, UT. doi
science and math courses allows them toexperience real-world problems which enables them to make connections to STEM fields [2].Data show that K-12 students from rural areas are less likely to have experience with STEMfields in the classroom compared to urban areas. This is due to a multitude of factors includingbudgets and teachers not having the necessary resources [5]. Many urban schools receive morefunding, therefore drawing in more qualified teachers and more resources [4]. A difference inSTEM education between rural and urban schools seems to be due to financial reasons [4][5].Data was collected from a 2019 outreach summer camp designed to increase student interest inSTEM. The hypothesis is that summer camps affect students’ interest in
tolink these topics in the curriculum and (2) students can see the benefits of combing materialsselection and simulation in design.References[1] M. Prince, “Does active learning work? A review of the research,” Journal of Engineering Education, vol. 93, no. July, pp. 223–231, 2004, doi: 10.1038/nature02568.[2] “National Survey of Student Engagement.” https://nsse.indiana.edu/nsse/index.html (accessed Feb. 02, 2022).[3] S. J. Quaye, S. R. Harper, and S. L. Pendakur, Student engagement in higher education: Theoretical perspectives and practical approaches for diverse populations. Routledge, 2019.[4] K. Krause and H. Coates, “Students’ engagement in first‐year university,” Assessment & Evaluation in Higher
and co-Director of the Youth Engineering Solutions (YES) Middle School project focusing on engineering and computational thinking. Dr. Klein-Gardner is a Fellow of ASEE. ©American Society for Engineering Education, 2023 High School Administrator’s Perspectives on an Engineering Program Aimed at Broadening Participation (Fundamental)AbstractThis work explores the experiences of administrators supporting teachers in the e4usa programwhich emphasizes broadening participation in engineering at the high school level to exploreefforts to broaden participation that leverage multiple levels of the school system. Two rounds ofconvenience samples of administrators in public and independent schools
Classroom in the Online Environment of Covid? Computer Applications in Engineering Education, 2022. 30(2): p. 517-531.5. Morgan, J., E. Lindsay, C. Howlin, and M. Bogaard, Pathways of Students' Progress through an on-Demand Online Curriculum, in ASEE Conference and Exposition. 2019: Tampa, FL.6. Tsai, Y.-S., D. Rates, P.M. Moreno-Marcos, P.J. Muñoz-Merino, I. Jivet, M. Scheffel, H. Drachsler, C.D. Kloos, and D. Gašević, Learning Analytics in European Higher Education—Trends and Barriers. Computers & Education, 2020. 155: p. 103933.7. Mavroudi, A., M. Giannakos, and J. Krogstie, Supporting Adaptive Learning Pathways through the Use of Learning Analytics: Developments, Challenges and Future
.1742-1241.2011.02659.x.[8] S. M. Van Anders, “Why the academic pipeline leaks: Fewer men than women perceive barriers to becoming professors,” Sex Roles, vol. 51, no. 9–10, pp. 511–521, Nov. 2004, doi: 10.1007/S11199-004-5461-9/METRICS.[9] R. Ysseldyk et al., “A leak in the academic pipeline: Identity and health among postdoctoral women,” Front. Psychol., vol. 10, no. JUN, p. 1297, Jun. 2019, doi: 10.3389/FPSYG.2019.01297/BIBTEX.[10] N. D. Jackson, K. I. Tyler, Y. Li, W. T. Chen, C. Liu, and R. Bhargava, “Keeping current: An update on the structure and evaluation of a program for graduate women interested in engineering Academia,” in ASEE Annual Conference and Exposition, Conference Proceedings
technique that is not often applied in a person-centered manner (Godwin et al.,2021). PCA is one of the most frequently used dimension reduction methods, which aims toidentify a subset of variables to represent a dataset in a lower dimension without losingsignificant information (Kherif & Latypova, 2020). In this example, Martin & Sorhaindo (2019)compared intrinsic and extrinsic motivational factors as predictors of academic achievement forcivil engineering students. They employed PCA to consolidate motivational factors into intrinsicand extrinsic groups. The original twenty-two motivation variables were ultimately grouped intofive principal components, which accounted for 66% percent of the variance. Thisimplementation of PCA to aggregate
-doctoral fellowship at Lawrence National Laboratory focusing on com- putational analysis for nonlinear seismic analysis of Department of Energy nuclear facilities and systems. After joining SFSU in 2016, she established an active research lab at SFSU with a diverse group of under- graduate and Master’s level students. For her engineering education research, she is interested in exploring how to use technology such as virtual reality and 3D printing to enhance student engagement. She is an active member of ASCE, ASEE, and SEAONC.Shah Rukh Humayoun, San Francisco State UniversityKhanh NguyenYongjian Pan ©American Society for Engineering Education, 2023 Reinforcing Human-Technology Interaction Theory