science 2 year and 4-year programs at Hispanic Serving Institutions in a ruralSouthwest state was developed to support students, particularly Hispanic first-generation collegestudents, as they navigated higher education pathways in computing. The table below providesadditional information regarding the data sources that support meaning making in this project. Demographic Marker Source of Data Gender identity Survey distributed by (source of grant funding) Race/ethnic identity Survey distributed by (source of grant funding) Citizenship/permanent resident Survey distributed by (source of grant funding) status Place of birth Survey distributed by (source of grant
Paper ID #38107Latinx Undergraduate Students: Finding a Place of Belonging in EngineeringNicole Delgado, New Mexico State University I am a first-year Ph.D. student at New Mexico State University in the department of Curriculum and Instruction. I currently work on a sponsored project that supports Latinx undergraduate sophomore, junior, and senior-level students in developing research, technical, interpersonal, academic, and professional skills that are transferable in their decisions to enter into graduate studies or the professional world.Hilda Cecilia Contreras Aguirre, New Mexico State University Hilda Cecilia
engineering education (EE) have played a significant role in thedevelopment of countries before, during, and since colonization [1]. Lucena & Schneider [1]remind us that while economic and political conditions may have differed across countries,engineers' primary goal during colonization was to transform nature into infrastructure to becontrolled, get a return on investments, and demonstrate superiority over indigenoustechnology. Across different colonizing powers, engineers filled a role in service to thecolonial project. Over time, as colonies became independent countries, engineering was - andstill is - considered an essential tool for helping these “traditional” societies on the path todevelopment [1]. In addition to engineering, formal
overarching goal is to amplify the voicesand perspectives of minoritized students, positioning them as knowledge holders and generatorsdeserving recognition in our quest for educational equity within engineering. Our studychallenges the idea that students inherently lack and need "fixing." Instead, we contend thatportrayals of deficit mindsets, attitudes, stereotypes, whiteness and hypermasculinity in socialmedia further sideline students and perpetuate flawed notions of success in engineering.Context of the StudyThis project focuses primarily on the portrayal of engineering identity(ies) in digital mediaspaces. Digital media spaces, as a contemporary medium for discourse, provide a rich source ofdata for understanding how these constructions
students. Of these, 28 students consented toparticipate in this study (about 18% female, 82% male). All these students were second yearengineering students.Identify Mastery Skills:First, we began by listing all the skills taught in our circuit analysis course. These could be bookchapters, exam problems, or important outcomes from projects or reports. We tried to framethem as measurable skills using questions such as: “Students will do...”, “Students willsolve….”, “Students will analyze…”. Next, we grouped skills by importance and reduced the listto 12 skills we could assess. We selected 5 essential skills (Fig. 1, Foundational skills) that allour students should master to be successful in our curriculum, 3 priority skills that we wantedstudents to
from The University of Texas at Arlington.Lauren Fogg, zyBooks, a Wiley Brand Lauren Fogg obtained her Bachelor’s degree in Mechanical Engineering in 2021 and her Master’s degree in Mechanical Engineering in 2022 from Louisiana Tech University. She is currently working on her Ph.D. in Engineering with a concentration in Engineering Education from Louisiana Tech University. She is cur- rently an Associate Engineering Content Developer with zyBooks, a Wiley Brand. Her research interests are diversity, gender equity, retention, project-based learning, cognitive models of problem-solving, and making engineering textbooks more accessible and innovative for students.Dr. Alicia Clark, zyBooks, A Wiley Brand Alicia
Formation of Engineers,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida: ASEE Conferences, Jun. 2019, p. 32173. doi: 10.18260/1-2-- 32173.[40] A. Wilson-Lopez, C. Sias, A. Smithee, and I. M. Hasbún, “Forms of science capital mobilized in adolescents’ engineering projects,” Journal of Research in Science Teaching, vol. 55, no. 2, pp. 246–270, 2018, doi: 10.1002/tea.21418.[41] J. Martin, M. Miller, and K. Gipson, Utilization of a Think-Aloud Protocol to Cognitively Validate a Survey Instrument Identifying Social Capital Resources of Engineering Undergraduates. 2011. doi: 10.18260/1-2--18492.[42] D. Radhakrishnan, J. DeBoer, and N. Bhide, “Recentering local knowledge and developing collaborative
projects. ©American Society for Engineering Education, 2024 Work in Progress: The Role of Student Backgrounds in Understanding Racial Disparities in ComputingIntroduction and MotivationThe purpose of this work-in-progress paper is to understand how students’ experiencesdiscussing race shape their attitudes toward privilege in computing and, through these insights,shed light on the challenges in establishing inclusive computing environments. Internationalmovements such as #BlackInTheIvory and #ShutDownSTEM [1], [2] have demanded thatscience, technology, engineering, mathematics (STEM), and computing fields change to fosterinclusivity. Despite this, there is a persistent underrepresentation
undergraduates feel morecomfortable in spaces where they are in the minority. Examples of these practices includeintentionally building mixed gender small groups for project-based learning, the utilization ofhumanizing language (e.g., the use of the term women versus girls), emphasizing thecontributions of women scientists and engineers, and incorporating relevant social issues intocourse discussions and lectures. Beyond pedagogical choices, providing flexibility is a small wayto model to undergraduate women that their experiences are distinct. For my participants, thislooked like simply checking in with women students to ensure they are comfortable in certainspaces. Some allies discussed checking in with women assigned to small groups with all
composition on student participation in undergraduate engineering project teams,” in 2011 ASEE Annual Conference & Exposition, American Society for Engineering Education, 2011, pp. 22.1449.1-22.1449.13. doi: 10.18260/1-2-- 18957.[46] M. A. E. Natishan, L. C. Schmidt, and P. Mead, “Student focus group results on student team performance issues,” Journal of Engineering Education, vol. 89, no. 3, pp. 269–272, Jul. 2000, doi: 10.1002/J.2168- 9830.2000.TB00524.X.[47] R. Stevens, D. Amos, A. Jocuns, and L. Garrison, “Engineering As lifestyle and a meritocracy of difficulty: Two pervasive beliefs among engineering students and their possible effects,” in 2007 ASEE Annual Conference &
for their lack of success in school [14, 15]. IQ testing was put in place to“scientifically” demonstrate the inability of students to advance in educational settings, framingLatino/a/x students as mentally deficient, lazy, unhygienic, and culturally flawed [24]. Examplesof the manifestation of deficit ideologies include: (1) the assumption that home language (otherthan English) could be a barrier for learning [16-18]; (2) the presumed incompetency of studentsbased on race, gender, and other social identities [19, 20]; (3) the belief that community andhousehold practices lead to cultural aspects that are to blame for not adjusting to the project ofAmericanization through schooling [13, 21, 22]; and (4) an overall tendency to blame the victim
researchers using open, emergent coding independently. Survey responses were analyzedline-by-line, focusing on the participants’ descriptions of their identities and their opinions on theterm Latinx. Researchers then met to determine consensus amongst the codes. This was followedby axial coding where the codes identified were compared to one another and relationships werehighlighted. The second stage was to determine themes that arose from the codes. Thecodes/relationships were used to identify themes and patterns across the data.LimitationsThe survey used to gather data for this project brought some limitations. Firstly, it was notspecified in the survey that students were expected to pick terms from the provided list. This ledto some students
-based and trauma-informed practices. Her interest and involvement in this project stemfrom her broader mission to improve access to accommodations, with particular focus ongraduate education and faculty promotion and tenure. She is also an ADHD life coach whoworks with both academic and non-academic clients.Disability definitionThere are many ways to define disability. Even the disability studies field excluded many typesof impairments until relatively recently [4]. Also, some argue that physical disability (likequadriplegia) and illness/disease (like multiple sclerosis) should be two different categories [5].Invisible disabilities (like learning disabilities) can be missing from historical records altogether,making research on their histories
that force assimilation, acculturation, and homogenization (Collins and Blot,2006); likewise, technical communicators can be change agents or tools of oppression (Rude,2009). Nevertheless, the field of TC still has much work to do to re-imagine what “professional”writing looks like outside of the white normative ideologies associated with the language used inscience and technology formal communication. Unreflective approaches to GenAI and languagediversity in technical and workplace communication writ large are not going to help this process.When we project this conversation on linguistic diversity in technical communication into theemergent writing practices in GenAI, we can see how GenAI risks collapsing diversity even as itaffords a level
, the Colorado School of Mines (Mines), from 2022-2023 (Robert,2023). Our inquiry into prestige represents a secondary data analysis (SDA; see Case, Paretti, &Matusovic, 2021), using data and content that were originally collected to explore undergraduatestudents' personal experiences as underrepresented students in the culture of engineering. Theresearcher who originally collected the data (Robert) is joined by Authors 2 and 3 in this SDAinquiry and analysis. A novel creative materialism conceptual framework (Robert, 2023) wastheorized for this interdisciplinary and participatory qualitative and arts-based research methodsdissertation research project with three underrepresented STEM students. Creative materialismhas three components that
Paper ID #38724Analysis of Learning Assistants’ Beliefs of Status and Their Role asStatus InterventionistsHarpreet Auby, Tufts University Harpreet is a graduate student in Chemical Engineering and STEM Education. He works with Dr. Milo Koretsky and helps study the role of learning assistants in the classroom as well as machine learning applications within educational research and evaluation. He is also involved in projects studying the uptake of the Concept Warehouse. His research interests include chemical engineering education, learning sciences, and social justice.Dr. Milo Koretsky, Tufts University Milo Koretsky is
notrestricted to computing students. While non-computing STEM majors suffer from the same lackof representation, it is important for researchers in computing to understand discipline-specificperceptions and experiences. Finally, the study did not account for other student identitiesoutside of race and gender. This excludes more nuanced analysis of results, based on multipleforms of oppression that students may (not) experience [21]. In addition, the computingcommunity lacks significant data collection efforts related to students with disabilities,highlighting the need to account for this important (and often overlooked) identity [22].This work-in-progress paper is situated within a broader ongoing project that seeks to answertwo research questions
conducted through funding from a University of Florida Foundation Grant“Goldberg Gators Engineering” program as part of the EQuIPD project at the University ofFlorida. The researcher would like to thank their co-authors and the rest of the research team fortheir assistance and support throughout this study. In particular, the researcher would like to thankAreesha Razi for the time and effort spent in support of codebook testing and revision.7. References[1] Committee on Effective Mentoring in STEMM, Board on Higher Education and Workforce, Policy and Global Affairs, and National Academies of Sciences, Engineering, and Medicine, The Science of Effective Mentorship in STEMM. Washington, D.C.: National Academies Press, 2019, p. 25568. doi
that of first-generation college students. Due to their own personal experiences through graduate school and/or through the tenureprocess, the authors have embarked on a National Science Foundation (NSF) funded project touncover the scripts of Whiteness in engineering, and more specifically in engineering education.The team did not want to only navel-gaze on and about Whiteness for Whiteness’ sake. That iswhy their study of Whiteness never forgets who should be centered: those that Whiteness hurts,oppresses, and marginalizes [18]. We understand that the lack of Black, Indigenous, and Peopleof Color (BIPOC) in engineering (i.e., supply) is not due to incapability or lack of persistence;it’s further downriver to the demand side—a