-secondary computing programs, and creating resources based on findings that are accessible to post-secondary computing programs nationwide.S. Kiersten Ferguson S. Kiersten Ferguson is a faculty research associate at NCWIT and the College of Engineering & Applied Science at the University of Colorado Boulder. Her scholarly and teaching interests include strategic planning and implementation with a focus on systemic organizational change; recruitment and retention of faculty and students; mixed reality simulations; and pedagogical and curricular choices in higher education. Prior to joining NCWIT in 2023, Kiersten was a clinical associate professor in the Annette Caldwell Simmons School of Education and Human
experiences, engaging in critical questioning, and offering support. Outside of academic studies, Jameka serves as an ambassador for her department, reviewer for ASEE, and active volunteer for a Columbus STEM non-profit See Brilliance. Jameka has been recognized by her undergraduate institution for her commitment to achieving the vision of the Ronald E. McNair Scholars Program and most recently by her department for her scholarship as a graduate researcher. Jameka strives to be a well-rounded scholar and exhibit her dedication to people and scholarship.Dr. Monica Cox, The Ohio State University Monica F. Cox, Ph.D., is Professor in the Department of Engineering Education at The Ohio State University.Mrs. Monique S. Ross
records to confirm relevance; 22 records were excluded at this stage. Throughthis process, 47 records were identified as relevant to the present topic. See Figure 1 for thecomplete PRISMA flow diagram [23].The following data items were extracted from all relevant articles: country in which study wasconducted; country (or countries) of author(s); aim of paper (or study); funding source(s);relevance to STEM educational setting; whether the technology was tested with the population ofinterest; study method; start & end date of data collection; inclusion & exclusion criteria forsample population; total number of participants; technology type; how was the technology wasused; outcome(s) measured; result of the intervention(s).ResultsThis
1 1 Background: Demographics • Asian Americans make up ~5.6% of households in the U.S., the second smallest racial group after First Nation groups [1] • Yet, (non-/immigrant) Asian/Asian Americans (A/AAs) are usually considered non-minoritized groups in postsecondary science and engineering (S&E) education as A/AA takes up 6%, 10%, 12%, and 11% of degree receipts of associates’, bachelor’s, master’s, and doctoral respectively [2] 2Asian Americans make up approximately 5.6% of households in the U.S. according
and their career progression in STEM fields [1]-[2].In order to bridge these gaps, the U.S. National Science Foundation (NSF) Scholarships inScience, Technology, Engineering, and Mathematics Program (S-STEM) has fundedprograms aimed at supporting students through scholarships, mentorship, and careerdevelopment. The Graduate Engineering Education Scholarship (GEES) of the University ofPittsburgh is one of the success cases of the NSF S-STEM (Track 2) initiative. The GEESprogram, launched 2019 by the University of Pittsburgh’s Swanson School of Engineering(SSoE), is an attempt to address the financial issues that low-income students face. There aretwo primary objectives: (1) to increase access to Master of Science (MS) degrees
analytical methods including natural languageprocessing (NLP) could enhance analysis accuracy and contribute to enhancing the overalldiverse and inclusive learning environment. Beyond these considerations, extending the analysisto include academic writing materials from additional years could provide a more comprehensiveview of how language practices evolve over time. This could offer deeper insights into theeffectiveness of initiatives focused on fostering inclusive language use. ReferencesAeby, P., Fong, R., Isaac, S., & Tormey, R. (2019). The impact of gender on engineering students’ group work experiences. International Journal of Engineering Education, 35(3), 756–765.Alfred, M. V., Ray
disabled students.To broaden participation and increase diversity in engineering and computing majors in 4-yearuniversities and colleges, bridge and success programs (also called intervention programs in someliterature) such as summer bridge, engineering scholar, and bootcamp have been used to supportstudents’ college transition and retention [1-8]. Some were initially created with federal fundingsupport from U.S. National Science Foundation (NSF) Scholarships in Science, Engineering,Technology, and Mathematics Program (S-STEM) and Louis Stokes Alliances for MinorityParticipation Program (LSAMP) [9] and institutionalized later. Both S-STEM Scholars programand LSAMP Scholars program not only provide financial support to student participants but
Student with ADHD and a Reading Disability,” in Promoting Safe and Effective Transitions to College for Youth with Mental Health Conditions, A. Martel, J. Derenne, and P. K. Leebens, Eds. Cham: Springer International Publishing, 2018, pp. 95–102.[3] M. A. Zapata and F. C. Worrell, “Disability Acceptance and Affirmation Among U.S. Adults With Learning Disabilities and ADHD,” J. Learn. Disabil., vol. 57, no. 2, pp. 79–90, Mar. 2024.[4] S. Maul and R. Figard, “Diminishing the data divide: Interrogating the state of disability data collection and reporting,” presented at the American Society for Engineering Education 2024, Portland, OR, 2024.[5] Learning Disabilities Association of America, “ADHD – Affects focus, attention and
fields [26].Ultimately, the STEM workforce should reflect the population it serves. However, research bythe National Science Foundation finds “Hispanic, Black, and American Indian or Alaska Nativepersons collectively account for 37% of the U.S. population ages 18–34 years in 2021, and 26%of S&E bachelor’s, 24% of S&E master’s, and 16% of S&E doctoral degrees earned by U.S.citizens and permanent residents in 2020” [27]. In addition, women earned 51% of S&Ebachelor’s, 51% of S&E master’s, and 47% of S&E doctoral degrees in the U.S. in 2020, butdespite women’s high levels of representation in S&E (which includes the life sciences andsocial sciences), women of color earned only 14.9% of all S&E bachelor’s degrees [27
funding. I need to show that I am being active in seeking funding, I have to be actively applying for grant proposals and it's in my field it's mostly NSF. I need to have publications in peer reviewed journals [and] presentations. You know, all that stuff and then in service. All the etcetera like that that drawer at your home, where you just throw everything else. Everything else goes there. The junk drawer, that[‘s] service everything else. – Mila, Latina, Puerto Rican• Motives – a psychological feature that arouses a person to action to meet a specific goal. In terms of EM, this can be framed as achievement orientation, impact, and value creation.• Achievement orientation - A focus on setting and reaching goals, often
methodology. Table 2. Review of technologies being used in STEM education for SLWD.Author(s) Country Technologies Purpose Target Group Education Designedand Year Level Solution/MethodologyIatraki et al., Greece Virtual Investigate the design issues Intellectual Primary Employed a focus group(2021) [21] Reality/Augmented in the development of digital disability (ID) methodology to explore the Reality (VR/AR) learning environments for
grant funding or industry partnerships.Dr. Kinnis Gosha, Morehouse College Dr. Kinnis Gosha (Go-Shay) is an Assistant Professor in the Department of Computer Science and Director of the Culturally Relevant Computer Lab at Morehouse College. Dr. Goshaˆa C™s research interests include conversational agents, social media data analytMrs. Talia Capozzoli Kessler, Georgia Institute of Technology Talia Kessler, MSPP is a research associate at The Center for Education Integrating Science, Mathematics, and Computing (CEISMC) at Georgia Tech. As a research associate, she works on research and evaluation projects centering on K-12 STEM education. She has a Master’s degree in Public Policy from the Georgia Tech and is currently
Depoliticization and Meritocracy Hinder Engineers’ Ability to Think About Social Injustices,” in Engineering Education for Social Justice: Critical Explorations and Opportunities, J. Lucena, Ed., Dordrecht: Springer Netherlands, 2013, pp. 67–84. doi: 10.1007/978-94-007-6350-0_4.[8] A. Jaiswal, G. Nanda, and M. Sapkota, “Building a Fairer Future: Integrating Social Justice in the Engineering Curriculum,” in 2024 IEEE Frontiers in Education Conference (FIE), Washington, DC, USA: IEEE, Oct. 2024.[9] S. L. Bem, “Gender schema theory: A cognitive account of sex typing,” Psychol. Rev., vol. 88, no. 4, pp. 354–364, 1981, doi: 10.1037/0033-295X.88.4.354.[10] S. J. Ceci and W. M. Williams, “Sex Differences in Math-Intensive Fields,” Curr. Dir
State University (Ph.D.).Ellen Wang Althaus, University of Illinois at Urbana - Champaign Ellen Wang Althaus, PhD (she/her) is a collaborative and innovative leader forging new initiatives and building alliances to foster diversity, equity, and inclusion (DEI) in science, technology, engineering, and mathematics (STEM) disciplines. In her current role as Assistant Dean for Strategic Diversity, Equity, and Inclusion Initiatives in the Grainger College of Engineering at the University of Illinois Urbana-Champaign she • Leads the strategy enhancing the Grainger College of Engineering (GCOE)’s commitment to diversity, equity, inclusion, and access. • Develops robust structures to support faculty and staff appropriately
influenced by. Like individual socioeconomics,these characteristics reflect hierarchical social and economic ranking amongst people. Importantly,they reflect Keynes (1936) argument that socioeconomics are group mentalities that organizepeople’s positions amongst society. Keynes (1936) illustrated that individuals with similar incomeslive together (household) or near one another (neighborhood/school) and likely have a similaroccupation. Given these features, we consider the following relational socioeconomic factors:1. Family/household income, occupation, and education are representations of the total, combinatory income(s), prestige, or educational status of the household. Household socioeconomic status has also been inferred based on what
-efficacy, statisticalanalyses were conducted on pre- and post-intervention scores. The focus of the analysis was todetermine whether significant changes occurred in self-efficacy levels after the intervention andwhether these changes differed by gender. Paired t-tests were employed to evaluate within-groupdifferences in self-efficacy over time, while independent t-tests were used to comparegender-based differences in the intervention’s effect. The following sections detail the results ofthese analyses. Gender Factor Pre-intervention Post-interventio t-statistic p-value Mean (SD) n Mean (SD) s Female CPSES 3.71 (1.41) 5.48 (1.15) 4.95 <0.05
-policy-and-procedure-manual-appm-2024-2025/[6] ABET, “Big 10+ Universities Deans of Engineering Letter of Support, Diversity, Equity &Inclusion, Mar. 31, 2021.,” 2021. Accessed: Sep. 02, 2024. [Online]. Available:https://www.abet.org/about-abet/diversity-equity-and-inclusion/[7] M. Borrego, J. Froyd, C. Henderson, S. Cutler, and M. Prince, “Influence of EngineeringInstructors’ Teaching and Learning Beliefs on Pedagogies in Engineering Science Courses,”International Journal of Engineering Education, vol. 29, pp. 1456–1471, Jan. 2013.[8] E. A. Canning, K. Muenks, D. J. Green, and M. C. Murphy, “STEM faculty who believeability is fixed have larger racial achievement gaps and inspire less student motivation in theirclasses,” Sci Adv, vol. 5, no
, Maryland: ASEE Conferences, Jun. 2023.[2] L. Espinosa, “Pipelines and pathways: Women of color in undergraduate STEM majors and the college experiences that contribute to persistence.” Accessed: Aug. 26, 2024. [Online]. Available: https://psycnet.apa.org/record/2011-13330-004[3] L. Foltz, S. Gannon, and S. Kirschmann, “Factors That Contribute to the Persistence of Minority Students in STEM Fields,” Plan. High. Educ. J., vol. 42, pp. 1–13, Sep. 2014.[4] S. Deitz and R. Henke, “Higher Education in Science and Engineering,” NSF - National Science Foundation. [Online]. Available: https://ncses.nsf.gov/pubs/nsb202332/characteristics-of-s-e-degree-recipients#s-e-degrees-by -race-and-ethnicity[5] E. Lichtenberger and C. George
a description of how the budget will be used. a. For continuing project proposals: How does your project build on last year’s project? (Recommended: use your previous project’s evaluations, outcomes, and/or impact.)4. Project Rationale: How does your project support broadening participation in engineering?5. Project Audience: Faculty, Staff, Undergraduate Students, Graduate Students, Community Partners, etc.6. Project Category: E.g., improved support of graduate or undergraduate education, departmental culture, understanding areas for improved student support, mentoring practices, and student recruitment practices7. Research Question(s): What question(s) do you seek to answer with this project?8. Metrics
,she drafted a hiring handbook to guide search committees in engineering through the process.The content in the next section is content from this hiring handbook Pierrakos prepared andcontinuously improved from one year to the next.V. HIRING PRACTICES AT WFU ENGINEERINGIn this section, the hiring process Pierrakos instituted and implemented in hiring a diverse WakeForest Engineering team is showcased. Content herein is adopted from the WFU EngineeringHiring Handbook that Pierrakos prepared as Founding Engineering Chair to guide hiring. TheWFU Engineering Hiring Handbook was shared with all search committee members. Every steprequired intentionality around minimizing bias which is inherent in hiring processes.Step 1. Getting the Job(s
of belonging, motivation, and academic performance. The following is anexemplar statement from Participant 2’s final reflective writing: The [program] has encouraged me to adopt a more empathetic and student-centered approach. Recognizing the psychological and emotional dimensions of student learning has led me to consider how academic policies and teaching practices can sometimes inadvertently contribute to student stress and disengagement. This shift towards a more empathetic pedagogy aims to create a learning environment that fosters student well- being and academic engagement.Participant 2 also described an actionable plan for his intended practices for providing feedbackto future students: I am
: Predictors and outcomes of heterogeneous science identitytrajectories in college. Developmental psychology, 54(10), 1977.[5] Eddy, S. L., & Brownell, S. E. (2016). Beneath the numbers: A review of gender disparitiesin undergraduate education across science, technology, engineering, and math disciplines.Physics Education Research Conference Proceedings, 13(3), 79–89.https://doi.org/10.1103/PhysRevPhysEducRes.13.020108.[6] Yosso, T. J. (2005). Whose culture has capital? A critical race theory discussion ofcommunity cultural wealth. Race, Ethnicity and Education, 8(1), 69–91.http://dx.doi.org/10.1177/07399863910131002.[7] Rincon, B. E., & George-Jackson, C. E. (2016). STEM intervention programs: fundingpractices and challenges. Studies in
” Militarization in Engineering •“Especially aerospace in particular… it's split between the people who don't want to work for a defense company… and [those who] want to blow up people in the desert”This masculine environment, along with her boss watching conservative politicalvideos, made Konkon feel unsafe and uncomfortable within this technical role. Thismasculinity was present in engineering spaces on campus as well. Interestingly,Konkon equated aspects of masculinity with militarization in engineering. Shecriticized many of the masculine “dude-bro[s]” in engineering as being excited towork for defense companies and wanting to “blow people up in the desert”. Thisperception of engineering, and particularly the aerospace sector
have overcome suchbarriers is essential. These pioneers pave the way for future generations, and this work aims toenvision a future when GenAI becomes integral in fostering inclusion within computing andSTEM disciplines. Villanueva and Di Stefano’s recent narrative inquiry underscores the criticalneed for tailored instructional strategies that consider the unique needs of blind students inSTEM [2]. Similarly, Stefik et al.’s research demonstrates how accessible tools, like theSodbeans programming environment, enhance confidence and skills among blind programmingstudents, revealing the impact of well-designed, inclusive technologies[3]. This paper builds onsuch foundational work by examining how GenAI tools shape the academic journeys of
college students. To date, the enrollment in the scholarshipcohorts matches the approximate 2:1 men:women ratio of the overall enrollment in engineeringat our campus (numbers of students reporting alternative gender identifications are small, andtherefore not reported). As the program matures, more efforts need to be made to increase thenumber of women applicants and awardees.In a prior work (Colón et al. 2024), the team provided a first view of the development of thestudents’ sustainability mindset as a result of analyzing the participants from the 2023sustainability engineering cohort, measured using a four-dimensional framework of knowledge(K), skills (S), behaviors (B), and attitudes (A). We found that students progressed in all
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
as academic performance and retention. ethodsMThis particular study is part of a larger project investigating “chosen family” in engineering education [9],[22]. Authors [22] describechosenfamilyas“person[s]outsideofthe[student’s] traditional family with individual or institutional power who genuinely and empathetically support and uplift [students] disrupting the [student’s] place amongst the structure- agency dialectic,andinturn,instillingastrongsenseofbelonging”(p.2-3).Inshort,chosenfamiliesare families students choose, who help the student enact agency in light of
ECE. Data was aggregated fromthe HSI’s Office of Institutional Analysis for the 2021-2022 academic year.increase their influence in the learning process and their success [10, 11]. However, research hasfound that a lack of sense of belonging is a determinant factor in a student’s decision to leaveengineering [12]. The relationships a student develops with their peers, teachers, and faculty canaffect that sense, influencing student performance, well-being, and the decision to stay/leave theirengineering program [13, 12]. The students who appear to have greater difficulty with their senseof belonging are those who are often underrepresented in the STEM/Engineering field(s), such aswomen or students with minoritized racial/ethnic identities [10
of female Middle Eastern engineeringstudents, especially those who are Iranian. In this project, the student aims to explore women'scareer and academic challenges as well as their process of engineering identity formation. Thiswork is expected to offer recommendations for the creation of successful policies and programs toimprove the conditions of Middle Eastern women. These policies can support their success in theengineering field.Reference[1] S. J. Ceci, D. K. Ginther, S. Kahn, and W. M. Williams, “Women in Academic Science: A Changing Landscape,” Psychol Sci Public Interest, vol. 15, no. 3, pp. 75–141, Dec. 2014, doi: 10.1177/1529100614541236.[2] O. Bataineh, A. Qablan, S. Belbase, R. Takriti, and H. Tairab, “Gender Disparity in