circuit as part of asenior design project.To prepare for the virtual competition the team captain set up a GitHub repository and includedQuanser’s demo code that was released for the competition. The students then worked throughthe example to understand how the different parts work, identified changes they would need tomake for the competition, and determined what module(s) they would need to write themselvesfor the competition. Ultimately, the students identified the vehicle desired speed, steeringcontroller gains, and path waypoints as key variables to the competition. They also determinedthat they would need to write some kind of perception module to identify stop signs and stoplights and control the car to apply the brakes. The students
sometimes random interactions in thehallway. For future interviews, we will focus on understanding how interactions come to pass at amore basic level and attempt to map these interactions to the 5C Model as part of analysis.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.[award number blinded]. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] M. Gibbon and D. Pokhrel, "Social network analysis, social capital and their policyimplications," Participatory Learning and Action, vol. 36, pp. 29-33, 1999. [Online].Available: https://pubs.iied.org
codes and codes that were similar yet not matching the original intent of the code.Additional codes to connect to career goals and interests were included; however, ultimately amore open thematic approach appeared more beneficial for the data. We were able to bettercapture experiences related to students’ funds of knowledge, including accessing experienceswith mentors and past experiences working in different fields, showing support for studies thatshowed similar findings quantitatively [5].References[1] C. Spence, E. Siverling, and M. Soledad, “NSF S-STEM: Iron Range Engineering Academic Scholarships for Co-Op Based Engineering Education,” in American Society for Engineering Education National Conference, Montreal, Quebec, 2025.[2] A
Paper ID #48113Using Postdoctoral Summits to Provide Equitable OpportunitiesStephanie A Damas, Clemson University Stephanie Ashley Damas is currently a graduate student at Clemson University studying to get her Ph.D. in Engineering and Science Education. Her area of interest is Diversity and Inclusion in Engineering. She holds a bachelorˆa C™s degree in electrical engiDr. D. Matthew Boyer, Clemson University Dr. D. Matthew Boyer is a Research Associate Professor of Engineering & Science Education and an Educational Proposal Writer in the College of Engineering, Computing and Applied Sciences at Clemson
://engineeringunleashed.com/framework.[2] “Start with design,” Hasso Plattner Institute of Design at Stanford University, 2025,https://dschool.stanford.edu/resources/get-started-with-design.[3] P. Lencioni, The 6 types of working genius: A better way to understand your gifts, yourfrustrations, and your team. Dallas, TX: Matt Holt Books, an imprint of BenBella Books, Inc,2022.[4] D. Fay, C. Borrill, Z. Amir, R. Haward, and M. A. West, “Getting the most out ofmultidisciplinary teams: A multi-sample study of team innovation in health care,” Journal ofOccupational and Organizational Psychology, vol. 79, no. 4, pp. 553–567, Dec. 2006.[5] H.-G. Le, S. Sok, and K. Heng, “The benefits of peer mentoring in higher education: findingsfrom a systematic review,” Journal of
different values. In the larger study, we detail a self-consistent Research World. However, the three faculty disused here exhibit misalignments in theirSchoolWorldvalues,bothacrossand within faculty members. These misalignments have the potential to lead to confusion and negativeoutcomesforstudentstryingtosucceedinavarietyofclassroomenvironments.Aswe build on this WIP as part of the larger investigation, we hope to further illuminate faculty experiences in, and influences on School and Research World. orks Cited:W[1] J. S. Brown, A. Collins, and P. Duguid, “Situated Cognition and
trailforward for creating a more diverse and inclusive engineering workforce.AcknowledgementsThis material is based upon work supported by the National Science Foundation under AwardNumbers 2329942, 2329943, & 2329944. Any opinions, findings, and conclusions, orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.ReferencesABET. (2021). Criteria for accrediting engineering programs 2021-2022. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-progr ams-2021-2022/Bernard, M. A. (2021). Advancing disability inclusion in the scientific workforce. National Institutes of Health. https
. “Investigating the Cross-Sectional Factor Structure of Autistic Traits Using the AQ-Adolescent in Clinical and General Population Samples.” Journal of Autism and Developmental Disorders.[Online]. No direct URL provided.[accessed Jan. 10, 2025].[4] R. Lang et al. “Treatment of Anxiety in Autism Spectrum Disorders: A Systematic Review of theEvidence.” Education and Treatment of Children. [Online]. No direct URL provided.[accessed Jan. 10, 2025].[5] M. DeVries. “High-Functioning Autism: An Overview of Characteristics and Related Issues.” ResearchGate. [Online]. No direct URL provided.[accessed Jan. 10, 2025].[6] S. Fletcher-Watson et al. “Can We Create an Inclusive, Human-Centered Autism Research Agenda?Reflections from Participatory and Online Methods
, 2024, doi: 10.1080/26939169.2023.2231065.[9] M. Dogucu, S. Kazak, and J. M. Rosenberg, “The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers,” Journal of Statistics and Data Science Education, 2024, doi: 10.1080/26939169.2024.2362148.[10] S. L. Wang, A. Y. Zhang, S. Messer, A. Wiesner, and D. K. Pearl, “Student-Developed Shiny Applications for Teaching Statistics,” Journal of Statistics and Data Science Education, vol. 29, no. 3, pp. 218–227, 2021, doi: 10.1080/26939169.2021.1995545.[11] A. Nikov, A. Misev, I. Kulev, V. Trajkovik, P. Cavkovski, and D. Trajanov, “CodeFu: Coding competition as a tool for industry university collaboration,” in
projects funded by various entities, including the Spanish government and the European Economic Community. ´ L´opez S´anchez, Universitat Polit`ecnica de CatalunyaMr. Raul Mr. Ra´ul L´opez S´anchez holds a degree in Computer Engineering (Universitat Oberta de Catalunya, 2010) and a Technical Engineering degree in Management Informatics (Facultat d’Inform`atica de Barcelona, Universitat Polit`ecnica de Catalunya, 2002). His professional career has been primarily focused on teaching, particularly in secondary and vocational training education. Since 2019, he has served as an associate lecturer at both the Institute of Education Sciences and the Facultat d’Inform`atica de Barcelona of the Universitat Polit`ecnica de
constructive alignment between the learningobjectives and the proposed assessment. Meaning, the assessment is a measurable activity thatallows students to complete the learning objective. Additionally, we gear our assessments oflearning objectives 1-3 and learning objectives 7-9 as authentic performance tasks i.e. tasks that aresearcher may do in real-life.To aid us, we use assessment worksheets as a tool to align the assessments with theircorresponding learning objective(s). On the assessment worksheet, we list the evidence oflearning for that learning objective, what constitutes acceptable performance, and task that wewill use to measure progress towards that learning objective. For example, Table 2 shows theassessment worksheet for the first
critical thinking and problem-solving skills in future engineers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under GrantNumber 2205067. Any opinions, findings, and conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Special thanks to Shane Gavney and Anvie Gowrishankar, undergraduatecontributors to the reflective memo analysis, all from the University of Colorado Boulder.References[1] J.H. Dyer, H. B. Gregersen, and C.M. Christensen, “Entrepreneur Behaviors, OpportunityRecognition, and the Origins of Innovative Ventures,” Strateg. Entrepreneurship J, vol. 2, no. 4,pp.317–38, 2008.[2] R. K
Steiner Verlag.[2] Shavelson, R. J., Phillips, D.C., Towne, L. & Feuer, M. J. (2003). On the science of education design studies. Educational Researcher, 32 (1), 25-28[3] Klees, G. & Tillmann, A. (2015): Design-Based Research als Forschungsansatz in der Fachdidaktik Biologie. Journal für Didaktik der Biowissenschaften (F) 6, (2015), S. 92-110[4] Reinmann, G. (2005). Innovation ohne Forschung? Ein Plädoyer für Design-Based Research-Ansatz in der Lehr-Lernforschung. Unterrichtswissenschaft 33(1), 52-69.[5] Lehmann-Wermser, A. & Konrad, U. (2016). Design-Based Research als eine der Praxis verpflichtete, theoretisch fundierte Methode der Unterrichtsforschung und - entwicklung
ofthe proposed process.References [1] D. G. Smith and N. B. Schonfeld, “The Benefits of Diversity what the Research Tells Us,” Campus, vol. 5, no. 5, pp. 16–23, Nov. 2000, doi: 10.1177/108648220000500505.[2] D. van Knippenberg and J. N. Mell, “Past, present, and potential future of teamdiversity research: From compositional diversity to emergent diversity,” Organ. Behav.Hum. Decis. Process., vol. 136, pp. 135–145, Sep. 2016, doi: 10.1016/j.obhdp.2016.05.007.[3] P. R. Hernandez, A. Woodcock, M. Estrada, and P. W. Schultz, “UndergraduateResearch Experiences Broaden Diversity in the Scientific Workforce,” BioScience, vol. 68,no. 3, pp. 204–211, Mar. 2018, doi: 10.1093/biosci/bix163.[4] S. E. Woo, J. M
Research Journal, vol. 54, pp. 135S-139S.[7] K. M. Alvarado-Young, Rural Hispanic-Serving Institutional Context on the Development of Hispanic -Serving and Strategies, Corvallis: Oregon Stat University, 2020.[8] G. A. Garcia, "Defined by outcomes or culture? constructing an organizational identity for Hispanic- serving institutions.," American Education Research Journal, vol. 54, pp. 111S-134S, 2017.[9] S. E. G. T. W. C. H. A. D. a. D. X. M. Angela Frederick, "The Emerging STEM Paths and Science Identities of Hispanic/Latinx College Students: Examining the Impact of Multiple Undergraduate Research Experiences," 2021. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC8734379/. [Accessed 14 November 2024].[10] M. L
professional success for African American students in constructionmanagement.References[1] Construction managers. (2023, August 29). Bureau of Labor Statistics. https://www.bls.gov/ooh/management/construction-managers.htm[2] Summary tables. (n.d.). https://nces.ed.gov/ipeds/SummaryTables/report/812?templateId=8122&year=2023&e xpand_by=0&number_or_percent=1&tt=aggregate&instType=1&sid=3c34877d-7869-440c- ba22-8a22480aa6ff[3] Whitmore, S. R., & Ojajuni, O. P. (2023, June), Are Construction Management Education Programs Producing Sufficient Numbers of Minority Graduates to Meet Demand? Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland. 10.18260/1-2--42289[4] Ochoa, G. L
a veteran(s). These connections could be immediate family, distant family or acquaintances.The survey also allowed the researchers to determine the breadth of connections as well as thedegree of connection. Dimensions for this category included: self as veteran; spouse as veteran;grandparent; parent; adult child; sibling; extended relative; friend; former or current student; andno veteran connection [13].Survey items 7 and 11 capturing veteran combat experience and expectations of veterans toreceive special recognition do not have a civilian corollary, as indicated in Table 1.The survey data was provided to the team in pivot tables with all identifying data removed. Thedata was then cleaned to ensure the most accurate results were utilized
with“A”s, yet 5-15% of each class still end up with “D”s and “F”s. The most significant change Iimplemented over this time period is refocusing away from equation memorization and towardsunderstanding concepts. Specifically addressed are the concepts that establish a foundation.These are sensible heat, latent heat, why we differentiate between U, internal energy and H,enthalpy, and how do we cross turbines when we can only define 3 of the 4 pieces of informationneeded to nail down the energy levels before and after. Once these are well understood, the restof thermodynamics seems to take half the time to learn (opinion). However, skipping one,creates an untenable position that forces students to get by on memorizing equations and hopingthey
, pressing the crushed mass, toasting the pressed mass and packagingthe flour ready for consumption. The main machinery includes the cassava grater, a press to extract the liquidand a pan oven to dry the mass.” Translated from [13].References[1] A. Ochoa-Duarte, J. I. Peña-Reyes and J. D. Reina-Rozo, "Engaged Engineering: Learning from the Systematization of Experiences from Latin America that make the path towards Buen Vivir," in 21st LACCEI International Multi-Conference for Engineering, Education, and Technology, Buenos Aires, Argentina, 2023.[2] B. Bond-Trittipo, J. Valle, D. S. Seculer and A. Green, "Challenging the Hegemonic Culture of Engineering: Curricular and Co-Curricular Methodologies," in CoNECD - Collaborative Network for
appreciated.References1. W. T. Davis, J. S. Fu, T. Godish, Air Quality. (CRC Press, 2021).2. W. Naughton, J. Schreck, H. Heikkinen, Seeking evidence for “curricular relevancy” within undergraduate, liberal arts chemistry textbooks. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching 45, 174-196 (2008).3. K. Willeke, K. T. Whitby, Atmospheric Aerosols: Size Distribution Interpretation. Journal of the Air Pollution Control Association 25, 529-534 (1975).4. J. H. Seinfeld, S. N. Pandis, Atmospheric chemistry and physics: from air pollution to climate change. (John Wiley & Sons, 2016).5. A. S. Wexler, S. L. Clegg, Atmospheric aerosol models for systems
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
politicalconstraints remains a crucial area for growth as the program evolves. Despite its success, theprogram is no longer funded, reflecting a shift in the NSF’s stated priorities away from explicitlyjustice-oriented initiatives. As a team deeply committed to equity and systemic change, wedisagree with this shift and remain steadfast in our belief in the necessity of programs like JEDI.AcknowledgmentThis material is based upon work supported by the National Science Foundation under AwardNumber 2318338. Any opinions, findings, and conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] B. Geisinger and D. R. Raman, “Why they leave
5.1 medium 3 19 15.0 easy 1,3 10 8.2 medium 1 20 7.8 easy 3,5To create the set of instructional activities, we simulated a set of 20 learning activities that had anexpected time-on-task between 5 and 15 minutes. In addition, the tasks were defined as easy,medium, or difficult to reflect the diverse student proficiencies, as well as the skill(s) the learningtask covered. The details of the learning activities can be found in Table 1.ResultsIn the student performance simulation, only 49 students demonstrated mastery on all five skills.Both algorithms correctly did not assign any learning activities to these students. For
the students'grades, would be used upon completion of the data analysis to explore how student performancerelates to experiences.References[1] G. Singh, A. Mantri, O. Sharma, and R. Kaur, "Virtual reality learning environment for enhancing electronics engineering laboratory experience," Computer Applications in Engineering Education, vol. 29, no. 1, pp. 229-243, 2021, doi: https://doi.org/10.1002/cae.22333.[2] J. P. Canright and S. White Brahmia, "Modeling novel physics in virtual reality labs: An affective analysis of student learning," Physical Review Physics Education Research, vol. 20, no. 1, p. 010146, 05/28/ 2024, doi: 10.1103/PhysRevPhysEducRes.20.010146.[3] S. M. Reeves and K. J. Crippen
in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oaCappelli, C. J., Boice, K. L., & Alemdar, M. (2019). Evaluating University-Based Summer STEM Programs: Challenges, Successes, and Lessons Learned. Journal of STEM Outreach, 2(1), 1–12. https://doi.org/10.15695/jstem/v2i1.13Friedman, A. D., Melendez, C. R., Bush, A. A., Lai, S. K., & McLaughlin, J. E. (2017). The Young Innovators Program at the Eshelman Institute for Innovation: A case study examining the role of a professional pharmacy school in enhancing STEM pursuits among secondary school students. International Journal of STEM Education, 4(1), 17. https://doi.org/10.1186/s40594-017-0081-4Hora, M. T., Wolfgram, M., Huerta, A
https://www.abet.org/accreditation/accreditation-criteria/criteria-for-of Team Member Effectiveness (CATME) assessment tool for engineering students. accrediting-engineering-programs-2019-2020/Starting in 2003 Matthew Ohland led a team from multiple universities whodesigned CATME. A Behaviorally Anchored Rating Scale (BARS) of five factors fit the Beigpourian, B., Ferguson, D. M., Berry, F. C., Ohland, M. W., & Wei, S. (2019). Usingdata best. The five behaviors are
XXXX Is the “E” in Engineering for Entrepreneurship? An Emerging Concept of Entrepreneurial Engineering Identity Le Shorn S Benjamin PhD, Jerrod A. Henderson PhD William A. Brookshire Department of Chemical and Biomolecular Engineering University of Houston Erik M. Hines, PhD College of Education Florida State University AbstractThe topic of engineering identity is neither new nor complete in its coverage within current literature.By applying both quantitative and qualitative lenses to
Engineering Education PhD Program Quality [Work-in-Progress] Le Shorn S Benjamin PhD, Jerrod A Henderson PhD William A. Brookshire Department of Chemical and Biomolecular Engineering University of Houston This material is based upon work supported by the National Science Foundation under Grant # EEC-2127509 to the American Society for Engineering Education AbstractDoctor of Philosophy (PhD) degree programs occupy the apex of the academic hierarchy. This ismainly because graduates are required to extend the bounds of existing knowledge. In the recentdoctoral discipline of engineering education, students are
, #RecallRatherThanRecognition, #flexibility, #NotMinimalist, #NoErrorRecovery, etc.,) 5. In a paragraph explain the user’s goal/s using the product, the required procedures for users to reach their goal/s, and why you think the product fails to satisfy users’ needs. You should also refer to any human factors’ goals (enhancing performance, safety, and satisfaction) that the example may fail to satisfy. 6. Up to a paragraph, suggest or propose your solution/s. It can be simple or technical. (Try to find an innovative solution for improving the design, redesigning, or changing the procedures--you can be simple but creative)Instruction for contributing to other students’ cases: 1. Each student is required to read all other students' cases