CAD self-efficacy.The hierarchical regression analysis did not demonstrate any of the CAD learning experiences tobe statistically significant to the development of Engineering Design self-efficacy. This contrastswith what we might initially expect, based on Carberry et al.’s assertion that engineering designself-efficacy is highly dependent on engineering experiences [4]. However, similar to Schar et al.our predictor variables do not encompass all possible CAD learning experiences, let aloneengineering learning experiences [2]. Therefore, future work should consider including newpredictor variables [2] as the current CAD learning experiences did not appear as effective asintended.Since only the pre-project survey data was analyzed in this
inglobal identity development have evolved over time. We also plan to expand the sample toinclude students from various academic disciplines and cultural backgrounds, that will enhancethe generalizability of the findings. Moreover, integrating qualitative methods, such as in-depthinterviews or focus groups, with the BEVI can provide richer, more detailed insights into theunderlying factors influencing gender differences in intercultural competence.References[1] A. J. Magana, T. Amuah, S. Aggrawal, and D. A. Patel, “Teamwork dynamics in the context of large-size software development courses,” Int. J. STEM Educ., vol. 10, no. 1, p. 57, Sep. 2023, doi: 10.1186/s40594-023-00451-6.[2] A. J. Magana, A. Jaiswal, T. L. Amuah, M. Z. Bula, M. S. Ud
Press, 2020.[2] R. Benjamin, Race after technology: Abolitionist tools for the new Jim code. Cambridge: John Wiley & Sons, 2019.[3] S. U. Noble, Algorithms of Oppression: How Search Engines Reinforce Racism. New York: NYU Press, 2018.[4] “U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), High School Transcript Study (HSTS), 2019 Mathematics Assessment.” Accessed: Aug. 07, 2024. [Online]. Available: https://nces.ed.gov/[5] M. Williams, “Embracing Change Through Inclusion: Meta’s 2022 Diversity Report,” Meta, Jul. 19, 2022. Accessed: Aug. 16, 2024. [Online]. Available: https://about.fb.com/news/2022/07/metas
also a first-generation college grad- uate, child of immigrants, and a published author. He is a former McNair Scholar, National Academies of Sciences, Engineering, & Medicine-Ford Foundation Fellow, Herman B. Wells Graduate Fellow, Inter- national Counseling Psychologist, former Assistant Professor at the University of Kentucky, and current Post-Doctoral Research Scholar at the University of Pittsburgh. Dr. Z.’s research program focuses on examining the impact of intersectional oppression on historically excluded groups & creating culturally relevant interventions to enhance their well-being. Within this framework, he studies academic persis- tence and mental wellness to promote holistic healing among BIPOC
classrooms enhances studentfoundational knowledge, hands-on capabilities, and overall engineering design aptitude.Integrating hands-on activities into massive open online courses (MOOCs) could increasestudent access to more real-life learning opportunities. This paper reports on instructor(s)experiences while developing and implementing an introductory rocketry course with bothonline and hands-on components intended for high school and early collegiate students.IntroductionFrom 2016 to 2021, the space industry grew by an estimated 18.4% [1] with nearly half of thegrowth occurring in 2021. The demand for work in the space and defense industry is high. Yet,many young students still do not see a place for themselves in the industry, especially
advocacy around hidden curriculum in engineering,” in SEFI 47th Annual Conference: Varietas Delectat... Complexity is the New Normality, Proceedings, 2020, pp. 1566–1575. Accessed: Sep. 07, 2020. [Online]. Available: https://par.nsf.gov/servlets/purl/10162378[2] F. D. Kentli, “Comparison of hidden curriculum theories,” European Journal of Engineering Education, vol. 1, no. 2, pp. 83–88, 2009.[3] S. Nieto, Affirming diversity: the sociopolitical context of multicultural education. Longman, 1992. [Online]. Available: http://lp.hscl.ufl.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&Auth Type=ip,uid&db=cat04364a&AN=ufl.023212249&site=eds-live[4] I. Villanueva, L. Gelles
programs was $5,665 [24] or approximately one-third thecost of the University of Minnesota.F. Engineering Pathway“Community Colleges play a key role in preparing Americans to enter the workforce withassociate’s degrees or certificates or to transition to four-year educational institutions” [2].Nearly half (47%) of all U. S. students who earned bachelor’s degrees in science andengineering between 2010 and 2017 did some coursework at a community college, and 18%earned associate degrees [2]. Students can take the first two years of a four-year engineeringdegree at a community college, and then transfer to and graduate from a four-year engineeringprogram. This is considered the community college pathway toward a Bachelor of Sciencedegree in
virtual learning environment in a university class,” Comput. Educ., vol. 56, no. 2, pp. 495–504, 2011, doi: 10.1016/j.compedu.2010.09.012.[2] J. Barker and P. Gossman, “The learning impact of a virtual learning environment : students’ views,” Teach. Educ., vol. 5, no. 2, pp. 19–38, 2013.[3] H. Waheed, S. U. Hassan, N. R. Aljohani, J. Hardman, S. Alelyani, and R. Nawaz, “Predicting academic performance of students from VLE big data using deep learning models,” Comput. Human Behav., vol. 104, no. November 2018, p. 106189, 2020, doi: 10.1016/j.chb.2019.106189.[4] J. Kuzilek, J. Vaclavek, Z. Zdrahal, and V. Fuglik, “Analysing Student VLE Behaviour Intensity and Performance.,” in Transforming Learning with
generalizability.Data Collection and ContextRachel is a Hispanic woman pursuing an undergraduate degree in Computer Science atSoutheastern Public University (SPU), a Hispanic Serving Institution in the Southeastern UnitedStates. She is one of the participants admitted into a Scholarship and Support Program (SSP), anNSF S-STEM [18] program at SPU, launched in September 2021 as a collaborative scholarshipand educational research effort at three public research universities in the Southeast UnitedStates. The program is designed to support lower-income students pursuing a degree in acomputing field, including computer science, information technology, cybersecurity, andcomputer engineering, through scholarship and a variety of co-curricular activities, including
, separating themselves from the situation(s) where the virus waspresent. This may come in the form of switching majors away from science, technology,engineering, and mathematics, to changing departments, universities, or even jobs. To preventthis attrition, ingroup experts and peers inoculate one’s self-concept by creating environmentsthat foster social belonging (Tse, Logel, & Spencer, 2011). In fact, “recruitment and retention ofunderrepresented groups who are newcomers at entry level is closely dependent on the visibility”of ingroup members (Dasgupta, 2011a). A stronger and more stable sense of belonging is onlyone benefit these ‘social vaccines’ can have. Exposure to ingroup experts and peers in high-achievement environments strengthens
those next in line to successfully compete for tenure-track facultylines are not receiving sufficient mentoring, the structural systems of power in higher educationare persisting. If this is the case, the call to action in diversifying the engineering professoriate isgoing unheard.Funding AcknowledgementThis research is sponsored by the National Science Foundation (NSF) Alliances for GraduateEducation and the Professoriate (AGEP; award numbers: 1821298, 1821019, 1821052, and1821008). Any opinions, findings, conclusions, or recommendations are those of only theauthors and do not necessarily reflect the views of the NSF.ReferencesAllen-Ramdial, S.-A. A., & Campbell, A. G. (2014). Reimagining the pipeline: Advancing STEM diversity
Paper ID #32440Gender Differences in Construction Management Students’ Sense of Belong-ingDr. Luciana Debs, Purdue University Programs Luciana Debs, is an Assistant Professor of Construction Management in the School Construction Man- agement Technology at Purdue University. She received her PhD from Purdue University Main Campus, her MS from the Technical Research Institute of Sao Paulo (IPT-SP), and BArch from the University of S˜ao Paulo (USP), in Sao Paulo, Brazil. Prior to her current position she worked in design coordination in construction and real estate development companies in Brazil. Her research is mainly
what you know? Figure 2. Short writing example involving exploration of topics in Physics 230.During the third week of class, students were given a short in-class writing activity in the form ofa classroom assessment technique (CAT) pioneered by Angelo and Cross [22]. Often referred toas a “minute paper” the students were asked two questions which are illustrated in Figure 3. 1. What was the most useful or meaningful thing you learned during our session together today? 2. What question(s) remain uppermost in your mind as we ended the session? Figure 3. Short writing example using a classroom assessment technique (CAT) in Physics 230.The CAT was given anonymously during class and students were given a small
. Another page of the survey asked students to select one or two nouns(among 14 options) that best describe the nature of the role they took in the context of the team.Nouns connoted various conceptions of leadership (e.g., Director, Sheriff), fellowship (e.g.,Therapist, Referee), and followship (e.g., Assistant, Secretary).Part 4. Explain Choices. The final page required participants to offer some explanation orclarification of their previous responses by answering at least one of two prompts: (a) “How didYOU decide how much individual effort to invest in each design task?” (b) “What other verb(s)or noun(s) describe how YOU contributed to the design project and functioned within yourTEAM? Why?”AnalysisThe WTCS data were analyzed using quantitative
outcomes, and interpersonal outcomes. Empathic processesresemble the skills dimension of Walther et al.’s [6] model of empathy in engineering andmanifest through perspective-taking, self/other awareness, and related skills. As this modelemphasizes, however, one’s orientation to others and one’s behavioral dispositions also play akey role in determining whether one will empathize. Thus, as one example, numerous factorsinfluence ‘team member understanding.’ Moreover, as Davis’s model emphasizes, this type ofintrapersonal understanding can promote interpersonal action or behavior.Second, empathy can promote positive teaming environments. Such positive teamingenvironments may be evident through a lack of negative valences, such as limited frustration
Paper ID #20240Enculturation of Diverse Students to the Engineering Practices through First-Year Engineering ExperiencesDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods
this newly formed department he strives to creatively impact society through investigating the intersections of engineering, education, and social need through research on community engagement and collaborative processes within informal learning. He has obtained a Ph.D. in electrical engineering from Drexel University, in Philadelphia, USA and served as a Postdoctoral Fulbright Scholar at the Escola Polit´ecnica da Universidade de S˜ao Paulo. Dr. Delaine is a co-founder and past president of the Student Platform for Engineering Education Development (SPEED) and has served two terms as an executive member of the International Federation of Engineering Education Societies (IFEES) as a Vice President for Diversity &
chemistry sets, kitchen chemistry Took care of or trained an animal Planted seeds, watched plants grow, watched animal behavior, collected things in nature (e.g., butterflies, rocks) Observed or studied stars and other astronomical objects Participated in science groups/clubs/camps Participated in science/math competition(s) Read/Watched non-fiction science Read/Watched science fiction Played computer/video games Wrote computer programs or designed web pages Talked with friends or family about scienceTable 5. Students’ intensity of experience with out-of-school experiences with follow up Tukey’sHSD for significant differences between groups. Tukey’s HSD Outcome
students that consistently ratelow and others that consistently rate high. Additional analysis of groups of students in the upper andlower thirds or quartiles will be conducted in the future as part of our ongoing studies. Similarly, in astudy that clustered engineering students based on quantitative measure of non-cognitive factors,including engineering identity and belongingness, over 40% of the participants did not fit into clusters(Scheidt, Senkpeil, Chen, Godwin, and Berger, 2018). In Scheidt et al.’s study, engineering identity andbelongingness were 2 of just 5 factors (out of about 20 total factors analyzed) that drew distinctionsbetween clusters; in other words, engineering identity and belongingness are two of the most variedaffective
children go aboutsupporting their children 's engineering learning—especially given the upswing in the number ofchildren being homeschooled in the U.S. over the past decade [1] [2], which is expected tosteadily grow in the future. Thus, in this study we aim to investigate the role a homeschoolparent plays in their child’s engineering learning. Literature review In the last decade computers have become less of a cutting-edge technology and more ofa commonality in every household. The shift in technology from exciting innovation to pertinenttools requires more than the ability to use computers for work. In fact, it is becomingincreasingly pertinent for children to think like computer scientists and
and what response they receivedfrom their audience(s).The student writing projects were analyzed using discourse analysis 12 and multimodal analysis30,31 in order to examine how the students enacted positions through roles and relationships visa vithe reader, and the extent to which they were successful in their positioning (RQ1).We considered criteria for successful positioning in multiple ways. First, we asked ourselveswhether the authors actually positioned themselves as engineering researchers or engineers -what were the strategies they use, and did they appropriately signal membership in thatcommunity. For instance, scientists are expected to use the language of uncertainty and to avoidoverstating their claims when discussing the
Active Learning Work? A Review of the Research,” J. Eng. Educ., vol. 93, no. 3, pp. 223–231, 2004.[6] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 8410–8415, Jun. 2014.[7] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson, “Pedagogies of engagement: classroom-based practices,” J. Eng. Educ., vol. 94, no. 1, pp. 87–101, Jan. 2005.[8] K. Sheridan, E. R. Halverson, B. Litts, L. Brahms, L. Jacobs-Priebe, and T. Owens, “Learning in the Making: A Comparative Case Study of Three Makerspaces,” Harv. Educ. Rev., vol. 84, no. 4, pp. 505–531, Dec. 2014.[9] E. C. Hilton, C. R. Forest, and J. S. Linsey, “Slaying Dragons
. Analternative hypothesis is that there are more women and minorities starting civil or structuralengineering studies now than there were in the past, so the graduate student diversity willincrease as these students continue through the pipeline. However, nationwide data shows that, ifanything, women and minority representation among students in science and engineeringdisciplines has decreased slightly over the past 10 years2,5, making this hypothesis unlikely.Table 1. Demographic data obtained for university students and faculty in civil (C) and/or structural (S)engineering. FACULTY UNDERGRADUATE GRADUATE STUDENTS