. He is the ASEE International Division Chair-Elect. He is a tenured full professor and currently the President of the ENTER Network. ©American Society for Engineering Education, 2025 EduFusion Network for Sustainable Growth: Transforming Higher Education in Kazakhstan for Labor Market Alignment and Sustainable DevelopmentAbstract: The EDUFUSION Project (Project ID:101179805 Call: ERASMUS-EDU-2024-CBHE), funded by the European Union, is a comprehensive 48-month initiative aimed atrevolutionizing higher education in Kazakhstan by aligning academic outcomes with labormarket demands and driving sustainable growth and job creation. The Edu-Fusion Networkfor Sustainable Growth
,” Stud Sci Educ, vol. 44, no. 1, pp. 1–39, 2008, doi: 10.1080/03057260701828101.[2] B. S. Bloom, M. D. Engelhart, E. J. Furst, W. H. Hill, and D. B. Krathwohl, TAXONOMY OF EDUCATIONAL OBJECTIVES; The Classification of Educational Goals. 1956.[3] M. Scardamalia and C. Bereiter, “Text-Based and Knowledge Based Questioning by Children,” Cogn Instr, vol. 9, no. 3, pp. 177–199, Sep. 1992, doi: 10.1207/S1532690XCI0903_1.[4] S. R. Goldberg, C. Venters, and A. Masnick, “Refining a Taxonomy for Categorizing the Quality of Engineering Student Questions,” ASEE Annual Conference and Exposition, Conference Proceedings, Jul. 2021, doi: 10.18260/1-2--37649.[5] “Hugging Face – The AI community building the future
workforce" OR "school to workplace" OR "study to work") It must pertain to engineering Engineer* Context disciplines.Stage 3: Study SelectionIn line with (Bork et al., 2019) this study selection process involved three key phases: title screening, abstractscreening, and full-text review. For this paper, we presented the PRISMA flow diagram (Appendix A) tohighlight the number of articles selected for full-text analysis. We conducted the title and abstract screeningindependently, with plans to involve two additional reviewers during the full-text review phase to reduce bias.At each stage, we systematically applied inclusion and exclusion criteria to ensure consistency
Conference, pp. 560–550. doi:10.29007/vp46.[3] J. Yoritomo et al., Examining engineering writing instruction at a large researchuniversity through the lens of writing studies. 2018. doi: 10.18260/1-2--30467.[4] L. Cruz Castro, G. Castelblanco, and P. Antonenko, LLM-based System for TechnicalWriting Real-time Review in Urban Construction and Technology. 2024. doi: 10.29007/d9j3.[5] M. A. Cantera, M.-J. Arevalo, V. García-Marina, and M. Alves-Castro, “A Rubric toAssess and Improve Technical Writing in Undergraduate Engineering Courses,” EducationSciences, vol. 11, no. 4, Art. no. 4, Apr. 2021, doi: 10.3390/educsci11040146.[6] E. Fife, “Making the Case for Technical Communication Courses in Ph.D. EngineeringCurricula,” in 2019 ASEE Annual
the development of critical sociotechnical literacy. Science & Education, 29(4), 981-1005.[2] Tan, E., Calabrese Barton, A., & Benavides, A. (2019). Engineering for sustainable communities: Epistemic tools in support of equitable and consequential middle school engineering. Science Education. DOI: 10.1002/sce.21515[3] Morales-Doyle, D. 2017. “Justice-Centered Science Pedagogy: A Catalyst for Academic Achievement and Social Transformation.” Science Education, 101 (6), 1034–1060.[4] Pierson, A. E., Clark, D. B., & Brady, C. E. (2021). Scientific modeling and translanguaging: A multilingual and multimodal approach to support science learning and engagement. Science Education, 105(4), 776-813
: Conversations about–Isms and Power Relations in Engineering Courses,” ASEE Annual Conference Proceedings, 2018, [Online]. Available: https://peer.asee.org/revealing-the-invisible-conversations-about-isms-and-power-relations-i n-engineering-courses[8] H. Janks, “Domination, Access, Diversity and Design: A synthesis for critical literacy education,” Educational Review, vol. 52, no. 2, pp. 175–186, Jun. 2000.[9] S. Abrams, Lead from the Outside: How to Build Your Future and Make Real Change. Henry Holt and Company, 2018.[10]I. X. Kendi, How to Be an Antiracist. Random House Publishing Group, 2019.[11]M. R. Banaji and A. G. Greenwald, Blindspot: Hidden Biases of Good People. Bantam Books, 2013.[12]“Podcast — teaching while
progressively building towards more complex sentence structures, especially for engineers and scientists. (3) Technical Writing Beer & Provide guidelines on crafting documents (reports, emails, in McMurrey memos, etc.) that are clear, well-organized, and Professional/Workplace (2019) appropriately formatted for an engineering context. Contexts Tebeaux & Discuss technical writing (or business/work writing) Dragga by contrasting it with academic writing, stressing the (2021) importance of factors such as security, legality
rural areas through a large-scale collective impact model,” Proceedings ofthe 50th ACM Technical Symposium on Computer Science Education, SIGCSE '19, Minneapolis,MN, USA, February 27–March 2, 2019, New York: ACM, 2019. pp. 1157-1163.[2] C. De Lira, R. Wong, O. Oje, G. Nketah, O. Adesope, A. Ghods, “Summer programmingcamps - exploring project-based informal CS education in a rural community,” InternationalJournal of Computer Science Education in Schools, vol. 5, no. 4, ISSN 2513-8359, Sep. 2022.[3] G. Wiggins, J. McTighe, “What is Backward Design?” in Understanding by Design,Alexandria: Association for Supervision and Curriculum Development, 1998. [Online].Available: https://educationaltechnology.net/wp-content/uploads/2016/01/backward
, "Multi-year cross-sectional study of perceptions ofand self-confidence in engineering as a major and profession of female first-semester first-year students," presented at the ASEE Annual Conference & Exposition, 2019. doi:10.18260/1-2--33129.
Engineering, UNSWPlanning and Performance Unit, and UNSW Office of the Chief Information Officer for themonetary and infrastructure to support the study. The presenting author would also like toacknowledge UNSW Education Focused Grant for provision of conference travel grant topresent at the ASEE 2025 Annual Conference.References[1] S. Panke, "Design thinking in education: Perspectives, opportunities and challenges," Open Educ. Stud., vol. 1, pp. 281–306, 2019.[2] J.-Y. Kuo, X. T. Song, C.-H. Chen, and C. D. Patel, "Fostering design thinking in transdisciplinary engineering education," in Transdisciplinary Engineering for Resilience: Responding to System Disruptions, vol. 16, Advances in Transdisciplinary Engineering, pp. 63
Design Research: An Introduction. In: T. Plomp & N. Nieveen (Hrsg.), Educational Design Research, Part A. Enschede, SLO, 10-51.[9] (Scheersoi & Tessartz 2019, 2) Scheersoi, A. & Tessartz, A. (2019): Design-Based Research – ganz praktisch. In Bildungsforschung. DOI: https://doi.org/10.25539/bildungsforschun.v0i1.283[10] Ruthven, K., Laborde, C., Leach, J. & Tiberghien, A. (2009). Design Tools in didactical research: Instrumenting the epistemological and cognitive aspects of the design of teaching sequences. Educational Researcher, 38(5), 329-342[11] Aromataris, E. & Riitano, D. (2014). Constructing a Search Strategy and Searching for Evidence. A guide to the literature search for a
coding free response questions for all students. We plan to use the qualitative responses toprovide context for if students found the scaffolding useful and if they liked having a scaffold toguide both the experimental and technical writing aspects of the lab report. Through this study, wehope to develop best practices in teaching technical writing for long-term skill development.Additional work will investigate persistence of writing skill into other courses.References[1] L. Heckelman, “Implementing Various Forms of Science Communication in a BME Laboratory Course.,” in Biomedical Engineering Society Annual Meeting, 2023.[2] I. Gravé, “Improving Technical Writing Skills Through Lab Reports,” in 2019 ASEE Annual Conference &
. Romanchek, and K. J. Cross, “Undergraduate student perceptions of stress and mental health in engineering culture,” Int. J. STEM Educ., vol. 10, no. 1, p. 30, Apr. 2023, doi: 10.1186/s40594-023-00419-6.[3] T. Estrada and E. D. Dalton, “Impact of Student Mindfulness Facets on Engineering Education Outcomes: An Initial Exploration,” presented at the 2019 ASEE Annual Conference & Exposition, Jun. 2019. Accessed: Oct. 24, 2023. [Online]. Available: https://peer.asee.org/impact-of-student-mindfulness-facets-on-engineering-education- outcomes-an-initial-exploration[4] J. Mcguire, “What is problem solving? A review of theory, research and applications”.[5] P. P. Heppner and C. J. Krauskopf, “An Information-Processing Approach to
) Program.Margaret Pinnell, Air Force Institute of Technology Dr. Pinnell serves as the Director for Talent Development and Organizational Improvement at the Air Force Institute of Technology. Prior to taking this role, she worked at the University of Dayton for over two decades. While at the University of Dayton she held a number of administrative positions including Associate Dean of Faculty and Staff Development and Interim Dean in the School of Engineering, and the Assistant Provost for Learning and Executive Director of the Learning Teaching Center for the Office of the Provost. Her areas of scholarship include experimental mechanics of materials, teaching and learning, K-12 STEM. Dr. Pinnell is actively engaged in ASEE
background includes traffic operations and roadway safety, construction zones and work zone traffic control, and smart cities and connected and autonomous vehicles. Dr. Kianfar work has been supported by Missouri Department of Transportation (MoDOT), Federal Highway Administration (FHWA), among others. Dr. Kianfar also has an interest in engineering education research including blended learning environments, active and collaborative learning, and STEM outreach. Dr. Kianfar is a member of Institute of Transportation Engineers (ITE), American Society of Civil Engineers (ASCE), and American Society for Engineering Education (ASEE). Dr. Kianfar is a certified Professional Traffic Operations Engineer (PTOE) and Road
itsadaptability across disciplines. Finally, industry-aligned assessments will measure real-worldproblem-solving skills, ensuring LFM’s effectiveness in preparing students for professionalapplications. These targeted research efforts will establish an empirical foundation for refining andscaling LFM in experiential engineering education.References1. Bishop, J. L., & Verleger, M. A. (2013). The flipped classroom: A survey of the research. ASEE National Conference Proceedings, Atlanta, GA.2. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23
on Electronics and Electrical Communication, he holds a bachelor’s and a master’s degree from Mansoura University in Egypt. He also got a master’s and a doctorate degree in Computer Engineering from the University of Louisiana at Lafayette. Dr. Ismail has a broad background in machine learning-based applications, hardware accelerators for machine learning, modeling and design techniques for reliable, low-power, and high-performance VLSI and FPGA systems, Cloud Computing, Cybersecurity, Internet of Video Things (IoVT), digital video processing algorithms/architectures levels, and wireless and digital communication systems. Dr. Ismail has served as an NSF panel reviewer from 2019 – present. He served as a PI and Co
then work toachieve those qualities.References[1] K. Perusich, B. Davis, and K. Taylor, “Teamwork and ABET Review: A Template forAssessment,” in Technological Developments in Education and Automation, M. Iskander, V.Kapila, and M. A. Karim, Eds., Dordrecht: Springer Netherlands, 2010, pp. 349–353. doi:10.1007/978-90-481-3656-8_64.[2] L. J. Shuman, M. Besterfield-Sacre, and J. McGourty, “The ABET ‘Professional Skills’— Can They Be Taught? Can They Be Assessed?,” Journal of Engineering Education, vol. 94,no. 1, pp. 41–55, 2005, doi: 10.1002/j.2168-9830.2005.tb00828.x.[3] T. Chowdhury and H. Murzi, “Literature Review: Exploring Teamwork in EngineeringEducation,” in REES 2019 conference proceedings, Cape Town, South Africa, Jul. 2019.[4
(fundamental),” in 2018 ASEE Annual Conference & Exposition, 2018. [7] V. Braun and V. Clarke, “One size fits all? What counts as quality practice in (reflexive) thematic analysis?” Qualitative Research in Psychology, vol. 18, no. 3, pp. 328–352, Jul. 2021, publisher: Routledge eprint: https://doi.org/10.1080/14780887.2020.1769238. [Online]. Available: https://doi.org/10.1080/14780887.2020.1769238 [8] ——, “Can I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern-based qualitative analytic approaches,” Counselling and Psychotherapy Research, vol. 21, no. 1, pp. 37–47, 2021, eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/capr.12360. [Online]. Available: https
), 1–13. https://doi.org/10.7771/2157-9288.1069[4] Cunningham, C. M., & Kelly, G. Y. J. (2017). Epistemic Practices of Engineering for Education. Science Education, 101(3), 486–505. https://doi.org/10.1002/sce.21271[5] American Society for Engineering Education (ASEE) & Advancing Excellence in P12 Engineering Education (AE3). (2020). Framework for P-12 Engineering Learning (FPEL). https://www.p12engineering.org/framework [6] Strimel, G. J. (2019). Design cognition and student performance. Explorations in Technology Education Research: Helping Teachers Develop Research Informed Practice, 173-191.[7] Wilkerson, N., Olson, J., Rambo-Hernandez, K., & Pedersen, R. (2024). Learning
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. The Application of An Educational Review from Consumer Behavior Perspectives That Are Affecting Electric Vehicle Adoption Outcomes Using a Literature Review- ADO Framework Dinh Cuong Nguyen Dan Tenney School of Engineering School of Engineering University of Bridgeport University of Bridgeport Bridgeport, Connecticut, USA Bridgeport, Connecticut, USA dinguyen
that requested statistical work was performed by Dr.Yisong Geng.References[1] J. Trevelyan, “Transitioning to engineering practice,” Eur. J. Eng. Educ., vol. 44, no. 6, pp. 821–837, Nov. 2019, doi: 10.1080/03043797.2019.1681631.[2] E. Flening, F. Asplund, and M.E. Grimheden, “Measuring professional skills misalignment based on early-career engineers’ perceptions of engineering expertise,” Eur. J. Eng. Educ., vol. 47, no. 1, pp. 117–143, 2022, doi: 10.1080/03043797.2021.1967883.[3] B. Lutz and M. C. Paretti, “Exploring the Social and Cultural Dimensions of Learning for Recent Engineering Graduates during the School-to-Work Transition,” Eng. Stud., vol. 13, no. 2, pp. 132–157, May 2021, doi: 10.1080/19378629.2021.1957901.[4
," Biomedical Engineering Education, vol. 3, no. 2, pp. 113-122, 2023.[6] M. Kotche, A. E. Felder, K. Wilkens, and S. Stirling, "Perspectives on bioengineering clinical immersion: history, innovation, and impact," Annals of biomedical engineering, vol. 48, pp. 2301-2309, 2020.[7] R. Schmedlen, J. W. Lee, P. Shekhar, and J. Stegemann, "The clinical peer mentors program: student motivations, skills and knowledge acquisition, and influence on career path," in 2019 ASEE Annual Conference & Exposition, 2019.[8] H. Dubey, A. Sangwan, and J. H. Hansen, "Using speech technology for quantifying behavioral characteristics in peer-led team learning sessions," Computer Speech & Language, vol. 46, pp. 343
Paper ID #48056Community Building in Chemical EngineeringDr. Taryn Melkus Bayles, University of Pittsburgh Taryn Bayles is a Professor, Teaching Track and Undergraduate Program Director in the Chemical Engineering department at the University of Pittsburgh. She has spent part of her career working in industry, as well as academia. She has led over 160 workshops with over 7,500 participants and her various outreach programs and curriculum development have impacted more than 22,000 K-12 students. She has been recognized with the ASEE Lifetime Achievement Award in PCEE, Donald R. Woods Lectureship Award - ChED, Chancellor’s
Joseph J. Brown leads the Nanosystems Laboratory and serves as Associate Professor and Chair of the Department of Mechanical Engineering at the University of Hawai’i at M¯anoa. He joined UH in 2017. He received an A.B. in Engineering Sciences from Dartmouth College in 2000, and M.S. and Ph.D. degrees in Mechanical Engineering from the University of Colorado Boulder in 2008 and 2010, respectively. He is author of 26 journal articles, 18 conference papers, and 1 book chapter, and an inventor of 11 U.S. patents. He is also a member of 5 professional societies: ASME, IEEE, MRS, ASEE, and AAAS. ©American Society for Engineering Education, 2025 Enhancing Lab Learning and Graduate Aspirations
Aware Decision Making,” Award No. OIA- 1946391, 2020.[6] K. D. Schubert, S. Romer, S. R. Addison, T. D. Moore, L. J. Berry, J. M. Fowler, L. Shoultz, and C. C. Davis, “Envisioning and Realizing a Statewide Data Science Ecosystem,” Proc. 2024 ASEE Annu. Conf. & Expo., Portland, OR, Jun. 2024. [Online]. Available: https://doi.org/10.18260/1-2–47325.[7] S. M. Lord, M. W. Ohland, R. A. Layton, and M. M. Camacho, “Beyond pipeline and pathways: Ecosystem metrics,” J. Eng. Educ., vol. 108, no. 1, pp. 32–56, Mar. 2019. [Online]. Available: https://doi.org/10.1002/jee.20250.[8] K. H. Fealing, Y. Lai, and S. L. Myers Jr., “Pathways vs. pipelines to broadening participation in the STEM workforce,” J. Women
Paper ID #45797Characterizing Interactions Between Master’s Engineering Students and TheirEnvironment During the Advisor-Matching Process with the Person-EnvironmentInteraction ModelDr. Boni Frances Yraguen, Penn State Boni Yraguen is a postdoctoral fellow at Penn State working in the Engineering Cognitive Research Lab. Boni is an ASEE eFellow studying engineering graduate student attrition and how graduate students engage with institutional support systems. She has led and participated in various educational studies on the impact of student reflections, authentic learning assignments, the use of technology in the
' dual enrollmentcreated natural tensions between (inter)disciplinary identities, making their experiencesparticularly relevant for understanding interdisciplinary development in high-consensus fields. The larger study this paper stems from is a longitudinal case study of 11 STEM graduatestudents enrolled in both their disciplinary departments and the IDR program between 2019 and2023, with a total of 30 interviews. In this paper, we present preliminary findings throughdetailed analysis of 3 cases with 11 interviews coming from the larger dataset, where eachselected students’ interviews represented distinct developmental trajectories identified throughanalysis of the full dataset. These three cases were selected through purposeful
delivery.The approach combined direct student interpersonal collaboration, behavior, and perspective,leveraging in-class UDL interaction measures and outside-class UDL use. The primary goal ofthis article is to provide a case study for the ASEE community and engineering educators byanalyzing two key UDL strategies: 1) encouraging student participation with in-class UDL toolsand 2) fostering knowledge internalization via out-of-classroom UDL tools. To evaluate theeffectiveness of these strategies, we developed our student interaction metrics based on traffic andinteraction data we collected from these tools. Our findings indicate that the distribution ofconcise, UDL-based evaluation of course activities positively impacts students’ performance,with