) further narrowing the list down to a “short list” for an on-site, in-personinterview, 5) deciding which candidate(s) will receive an offer, and 6) negotiation. In somecases, steps three and four are skipped, and only one round of interviews is completed. The faculty hiring process is fraught with bias, including racial bias [1], gender bias inletters of recommendation [2], and search committee members seeking to hire people whoseresearch areas are most similar to their own [3]. Hiring people similar to oneself extends beyondresearch areas. Many search committees look for candidates who would be a good “fit”(generally, scientifically, programmatically) [4, 5]. However, “fit” is highly subjective and opento the evaluator’s personal biases
necessarily reflect the views of the NSF.References 1. SE. Zappe, SL. Cutler, & L. Gase. 2023. A Systematic Review of the Impacts of Entrepreneurial Support Programs in Science, Technology, Engineering, and Math Fields. Entrepreneurship Education and Pedagogy, 6(1), 3–31. https://doi.org/10.1177/25151274211040422 2. F. Hasson, S. Keeney, and H. McKenna. 2000. Research guidelines for the Delphi survey. Journal of Advance Nursing, vol. 32, pp. 1008-1015. 3. F. Hasson, and S. Keeney, “Enhancing rigour in the Delphi technique research,” 2011, Technological Forecasting & Social Change, vol. 78, pp. 1695-1704. 4. P. Wainwright, A. Gallagher, H. Tompsett, & C. Atkins. 2010. The use of vignettes within a
engineering computer applications. Proceedings of the 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. https://peer.asee.org/413492 Moore, J. P., & Ranalli, J. (2015, June), A Mastery Learning Approach to Engineering Homework Assignments. Proceedings of the 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.234053 R. Averill, S. Roccabianca, and G. Recktenwald, A Multi-Instructor Study of Assessment Techniques in Engineering Mechanics Courses. Proceedings of the 2019 ASEE Annual Conference & Exposition, Jun. 2019. https://peer.asee.org/a-multi-instructor-study-of-assessment-techniques-in-engineering-mechanics- courses4 Sangelkar, S., & Ashour, O. M., &
develop a better understanding of the technical content, societal andeconomic impact of the proposed solution, while supporting the students’ preparedness andreadiness for the workforce.IntroductionThere are numerous recent scholarly works examined the way in which the Kern EntrepreneurialEngineering Network (KEEN)’s mindset is enhancing the students’ engagement and skills invarious engineering courses, like Material Science [1], or Mechanical Design or StructuralAnalysis [2, 3, 4], or Fluid Mechanics [5, 6, 7, 8] or across engineering curriculum [9, 10, 11, 12,13].In all instances, the authors found that the inclusion of an entrepreneurship education, aspromoted by KEEN, and further support the engineering students’ readiness for the
Perspectives,” J. Eng. Educ., vol. 106, no. 3, pp. 398–430, 2017, doi: 10.1002/jee.20170.[5] C. J. Atman, J. R. Chimka, K. M. Bursic, and H. L. Nachtmann, “A comparison of freshman and senior engineering design processes,” Des. Stud., vol. 20, no. 2, pp. 131–152, Mar. 1999, doi: 10.1016/S0142-694X(98)00031-3.[6] S. R. Daly, R. S. Adams, and G. M. Bodner, “What Does it Mean to Design? A Qualitative Investigation of Design Professionals’ Experiences,” J. Eng. Educ., vol. 101, no. 2, pp. 187–219, 2012, doi: 10.1002/j.2168-9830.2012.tb00048.x.[7] J. S. Gero, “Fixation and Commitment While Designing and its Measurement,” J. Creat. Behav., vol. 45, no. 2, pp. 108–115, 2011, doi: 10.1002/j.2162-6057.2011.tb01090.x.[8] V. L. Vignoles
National Science Foundationunder Grant No. 1943811. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] Josiam, M., Lee, W., Johnson, T., Pee, C., & Hall, J. (2022, August). Beyond Selecting aMethodology: Discussing Research Quality, Ethical, and Equity Considerations in QualitativeEngineering Education Research. In 2022 ASEE Annual Conference & Exposition.[2] D. M. Cable and J. R. Edwards, “Complementary and supplementary fit: A theoretical andempirical integration.,” Journal of Applied Psychology, vol. 89, no. 5, pp. 822–834, 2004.[3] P. M. Muchinsky and C. J. Monahan, “What is person
to feel comfortable with both their peers and their TA tobe able to recover from a setback quickly. 1. Student experiences a setback (lab does not go as planned). 2. Student looks to a) lab partner(s) or peers, and/or b) TA, and/or c) class and lab materials to decide how to respond. 3. Student's ability to move past the setback depends on whether a) others experience the same setback, b) others normalize setbacks, and c) they know where to look to help them troubleshoot. These factors impact whether they can effectively manage their frustration in the moment.Figure 1. Student Response to Setbacks in Lab Settings FlowchartConclusion To summarize, students’ ability to recover from
focus groups to understand participants’lived experiences around identity-mediated interest changes and enrollment choices. Thelongitudinal element of this work allows us to evaluate when a new interest was identified andthe choice(s) participants made regarding pursuing that interest as these two elements often donot occur in the same semester. A singular data point would not fully capture the story ofchanging interests and choices, rather we utilize focus group data from participants’ first sixsemesters in an undergraduate engineering program. Data were analyzed using directed contentanalysis to support the exploration of the phenomenon while allowing for the integration of atheoretical framework including identity and interest. Matrix
Practices and Processes,” Hollylynne S. Lee etel. developed a framework using the work of statistics educators and researchers to investigatehow data science practices can inform work in K–12 education. Their framework buildsfundamental practices and processes from data science [19]. The math field has contributed to data science research via the Common Core StateStandards Initiative (CCSSI), which is a joint project to develop common K–12 reading andmath standards designed to prepare students for college and careers. The CCSSI includes a datascience section for elementary students that focuses on data collection, data type, function,analysis type, and sample [20]. Similarly, the Launch Years Data Science Course Frameworkprovides broad
the career development of women. Journal of Vocational Behavior, 18(3), 326–339. https://doi.org/10.1016/0001- 8791(81)90019-1 [4] Hurst, M. A., Polinsky, N., Haden, C. A., Levine, S. C., & Uttal, D. H. (2019). Leveraging research on informal learning to inform policy on promoting early stem. Social Policy Report, 32(3), 1–33. https://doi.org/10.1002/sop2.5 [5] Removed for Double Blind Review [6] Lester, S., & Ruth, K. D. (2022, August). ’ook Who's Talking: Exploring the DEI STEM Librarianship Conversation. In 2022 ASEE Annual Conference & Exposition. [7] Roy, J. (n.d.). Engineering by Numbers - ira | ASEE. ASEE. Retrieved February 8, 2023, from https://ira.asee.org/wp-content/uploads/2019/07/2018
. How well this process is conducted is the primary focus of quality in narrative research.Indicators of Quality in Narrative SmoothingRecent work has sought to establish frameworks capable of assessing the quality of qualitativeresearch methods. In line with Walther et al.'s work, we define quality interpretative research asresearch that is "idiographic in nature, in that it emerges from the unique perspective ofindividuals or groups but is transferrable to and meaningful for other contexts" [22]. We findgreat utility in tools such as Walther & Sochacka’s Q3 framework, which provides a versatileguide for implementing quality across various qualitative methods[23] . Tools such as this helpresearchers assess how they produce and manage
confidential.Furthermore, no attempt to oversample women or minorities was made in collecting the sampledata. All results are cross-sectional.InstrumentsThe self-reflection survey contained a total of 41 questions. Questions about learning outcomesrelevant to technical skills were developed based on Davis et al.’s conceptual model for capstoneengineering design performance and assessment and ABET’s student outcomes #3 [1]. Questionsrelating to non-technical outcomes were adapted from scales developed by Chandler et al. to studyentrepreneurs’ competencies [49] and scales developed by Keinänen et al. to measure innovationcompetencies of students in the applied sciences [50]. Table 1: Likert-Scale Survey Items associated with Student Learning OutcomesItem
professional development model as a lens.Participants were nine sixth grade science teachers from three rural and Appalachian schoolsystems who engaged in the first year of the VT-PEERS project. The participants wereinterviewed prior to the first intervention activity, at the end of the first academic year, observedduring interventions, and asked to fill out an online questionnaire to capture their demographicinformation. The interviews lasted approximately 30-minutes. Pertinent questions for thisanalysis were: “What influenced your decision to participate in this project?”; What role(s) doyou expect to have during this collaboration?”; “What role(s) do you expect other partners(Industry or University) to have?”Through open coding (Miles, Huberman
/sunday/the- asian-advantage.html[2] D. E. Naphan-Kingery, M. Miles, A. Brockman, R. McKane, P. Botchway, and E. McGee, “Investigation of an equity ethic in engineering and computing doctoral students,” Journal of Engineering Education, vol. 108, no. 3, pp. 337–354, 2019, doi: 10.1002/jee.20284.[3] National Science Board, “The State of US Science and Engineering 2022,” National Science Foundation, Alexandria, VA, 2022. Accessed: Dec. 02, 2022. [Online]. Available: https://ncses.nsf.gov/indicators[4] L. D. Patton and S. Bondi, “Nice white men or social justice allies?: using critical race theory to examine how white male faculty and administrators engage in ally work,” Race Ethnicity and Education, vol. 18, no. 4, pp. 488–514
, while a factorial analysis yielded an adjustment of factors to 4 dimensions with acumulative explanation percentage of 65 % (with a KMO equal to 0.812 and a Barlett's test ofsphericity equal to 0.000). The Exploratory Factor Analysis performed in this study wasPrincipal Component Analysis with Varimax rotation. Table 2 shows the items of eachdimension and the correspondent Cronbach´s Alpha.Table 2. Items by survey dimensions on sense of belonging, self-efficacy and perceived support from the institution. Dimensions Items Sense of belonging- 1. I feel comfortable asking a teacher for help when I don't understand the subject interactions
, New York: Guilford Pr., 1999, pp. 403–422.[3] R. Brooks, S. Brooks, and S. Goldstein, “The Power of Mindsets: Nurturing Engagement, Motivation, and Resilience in Students,” in Handbook of Research on Student Engagement, S. L. Christenson, A. L. Reschly, and C. Wylie, Eds., Boston, MA: Springer US, 2012, pp. 541–562. doi: 10.1007/978-1-4614-2018-7_26.[4] C. Dweck, “Implicit Theories,” in Handbook of Theories of Social Psychology, Sage, 2011, pp. 43–61. Accessed: Sep. 14, 2022. [Online]. Available: https://www.torrossa.com/en/resources/an/4912667[5] A. K. Gupta and V. Govindarajan, “Cultivating a global mindset,” Acad. Manag. Perspect., vol. 16, no. 1, pp. 116–126, Feb. 2002, doi: 10.5465/ame.2002.6640211.[6] C. S. Dweck
offering online sections of courses to students that want the flexibilitythat they facilitate, if their primary concern is student performance. We found no statistically sig-nificant difference in the overall performance of students that elect to take a course online relativeto those that elect to take it in person. Taking courses online may, however, have a substantialnegative impact on a student’s sense of belonging. This effect is particularly pronounced for un-derrepresented minority students and first generation students, but not present in women.References [1] B. Bizot and S. Zweben, “Generation cs, three years later,” On the Internet at https://cra. org/generation-cs- three-years-later/(visited August 2019), 2019. [2] T. Camp, W. R
, interest, and capability of faculty to teach a course.That said, even when a more diverse instructional team is assigned to teach a course, there arechallenges to be overcome which may prohibit instructors from trying new teaching methods orcourse structures.The first challenge to changing teaching methods and course structures is a two-pronged issue:there is an expectation and momentum towards keeping things the same as years past, as well asthe large amount of work to overturn the traditional teaching methods. In each of the examplesthat were given in this paper, the instructor(s) invested no small amount of effort in revising thecourse(s) to suit their designs. The time and energy required to do these revisions is not alwaysavailable to faculty
Paper ID #37759Learning Styles Impact on Ill-Structured Problem Solving Processes ofEngineering Students, Faculty and ProfessionalsKyle P. Kelly, Michigan State UniversitySecil Akinci-Ceylan, Iowa State University Secil Akinci-Ceylan is a PhD student in Educational Technology in the School of Education at Iowa State University.Xiangxiu ZhangDr. Kristen Sara Cetin, P.E., Michigan State University Dr. Kristen S Cetin is an Associate Professor at Michigan State University in the Department of Civil and Environmental Engineering.Dr. Benjamin Ahn, The Ohio State University Dr. Benjamin Ahn is an Associate Professor at The Ohio
means to be an engineer. International Journal of Engineering, Social Justice, and Peace, 2(1), 10–20.Bang, M., Warren, B., Rosebery, A. S., & Medin, D. (2012). Desettling expectations in science education. Human Development, 55(5-6), 302–318.Barak, M., Ginzburg, T., & Erduran, S. (2022). Nature of Engineering. Science & Education. https://doi.org/10.1007/s11191-022-00402-7Basile, V., & Azevedo, F. S. (2022). Ideology in the mirror: A loving (self) critique of our equity and social justice efforts in STEM education. Science Education, 106(5), 1084–1096. https://doi.org/10.1002/sce.21731Bazzul, J., & Tolbert, S. (2019). Love, politics and science education on a damaged planet
structural barriers. Engineering needsto transform into an environment where LGBTQ people can thrive through authenticparticipation if engineering fields hope to benefit in the myriad ways promised by professedvision and value statements throughout the field.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.2046233. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] E. A. Cech and T. J. Waidzunas, "Systemic inequalities for LGBTQ professionals in STEM," Science Advances, vol. 7, no. 3, 2021, doi: 10.1126/sciadv.abe0933.[2] B. E
. Journal of Business Venturing, 16(5), 495-527. doi:http://dx.doi.org/10.1016/S0883- 9026(99)00054-3Audretsch, D. B. (2014). From the entrepreneurial university to the university for the entrepreneurial society. The Journal of Technology Transfer, 39(3), 313-321.Baldini, N., Grimaldi, R., & Sobrero, M. (2007). To patent or not to patent? A survey of Italian inventors on motivations, incentives, and obstacles to university patenting. Scientometrics, 70(2), 333-354.Balven, R., Fenters, V., Siegel, D. S., & Waldman, D. (2018). Academic entrepreneurship: The roles of identity, motivation, championing, education, work-life balance, and organizational justice. Academy of Management Perspectives, 32(1), 21
Aconsisted of 19 minutes of silence (34% of the video), whereas when working on the same partof the project, Group B’s recorded meeting had 48 minutes of silence (86.26% of the video).Overall, students spent a large portion of their time together not engaged in codable activity(70%) including sitting in silence, or discussing non class topics, such as schedules and athletics.Data across both groups totaling 16.2 hours was used to make the following table which showsthe percentage of time and the unique number of times that students engaged in a code.Table 5: Activity of Groups A and B Code Total time % of Total % of CodedCode Name Color (s) Unique Times Time
, demonstration of various tessellation resolutions (Figure 3), and a 3-linkmechanism capable of being configured in revolute-revolute and revolute-spherical jointconfigurations (Figure 4). Figure 3: 3D printed teaching aids made for the course. R-R configuration A disassembled view of the 3-link mechanism S-R configuration Figure 4: 3D printed three-link mechanism to demonstrate revolute (R) and spherical (S) joints.These tools were used in the teaching of concepts related to DfAM, mobility and degrees offreedom, CAD (movable assemblies), and 3DP considerations in
addressing the challenges of providing hands-on, experientiallearning in the context of distance learning. By implementing the recommendations arising fromthis study, institutions can help ensure that African American students in laboratory-basedengineering technology courses receive the necessary support and resources to succeed in theireducation and future careers.References [1] S. Bernadin, T. Mulay, and H. Chi, "Creating a Virtual Learning Environment for Increasing Awareness of Blockchain Technologies at a Minority Serving Institution," in 2022 ASEE Annual Conference & Exposition, 2022.[2] I. E. Allen and J. Seaman, Online report card: Tracking online education in the United States. ERIC, 2016.[3] S. Asgari, J
specifications, and facilitymanagement strategy.Keywords: Facility engineering, Facility condition assessment, engineering management,engineering educationIntroductionOrigins of the facilities engineering profession can be traced to organizations supporting the builtenvironment. The industrial revolution in the early 1900’s brought to creation a diverse array ofbuildings, factories, and equipment to support the evolution of the United States of America. Toaddress the challenges associated with a rapidly growing industry, in 1915 thought leaders in plantengineering assembled a forum in Boston, Massachusetts of mechanical engineers, mastermechanics, and chief engineers in plants. This forum discussed common problems and facilitatedthe exchange of ideas in
within the framework of University of Toledo IRB protocol 201808.DisclaimerOne of the authors may receive royalties from sales of the zyBook detailed in this paper.References[1] A. Edgcomb, F. Vahid, R. Lysecky, A. Knoesen, R. Amirtharajah, and M. L. Dorf, "Student performance improvement using interactive textbooks: A three-university cross-semester analysis," in ASEE Annual Meeting, Seattle, WA, 2015, doi: https://doi.org/10.18260/p.24760.[2] A. Edgcomb, J. S. Yuen, and F. Vahid, "Does Student Crowdsourcing of Practice Questions and Animations Lead to Good Quality Materials?," in ASEE Annual Meeting, Seattle, WA, 2016, pp. 1-15, doi: https://doi.org/10.18260/p.23899.[3] K. E. Chapman, M. E