own experiences after acquiring disabilities during college, Jamie delved into research on the challenges faced by students with disabilities entering higher education. ©American Society for Engineering Education, 2024Slide 1 Cutting the Curb for Students with Disabilities Transitioning to Higher Education S eth Vuletich Br ianna Buljung Jam ie ReganBefore we begin, we want to acknowledge that accessibility is a broad and expansive field thatis constantly changing. Despite best efforts to learn about the field and support accessibleresources, we are not aware of all accessibility concerns but
of the authors and do not necessarily reflect the viewsof the funding agencies. The research study has been approved by theInstitutional Review Board at George Mason University. 1 Discussion about Algorithmic Data Bias • Algorithms and AI support almost every technological system today. • Algorithmic data bias refers to systematic errors in an algorithmic system that hurt or favor one group of individuals over others. Can occur at any point of the data pipeline (collection, cleaning, analysis, reporting), Are difficult to fix depending on the context of the data, Can have many
to the NSF. At this point in the process we need you to think about the steps it would take for you to form your own S-SEM project. As you think about this process, prepare to answer these following questions: 1. What strategies would you use to identify partners? 2. What goals and interest would you share with your partners? 3. What resources would you share? 4. What other information do you need? If you desire additional resources around reflecting about partnerships or with partners, please see Appendix B in this open access journal article: https://doi.org/10.1002/jee.20403Research Methods: Descriptive Case StudyA case study is a research design methodthat involves collecting data from a specificsubject.A descriptive case
other academicinstitutions to develop effective targeted programming.1. Introduction1.1 Existing demographics of STEMHistorically and currently, science, technology, engineering, and mathematics (STEM) fieldshave been characterized by a lack of diversity, with limited representation from variousdemographic groups [1-6]. Although the workforce has become more diverse in recent years,there are still significant disparities in the representation of women, racial minorities, and otherhistorically underrepresented demographics [2,7-9]. Within the US, the dominance of White menin STEM flourished due to legal barriers that prevented access for other groups until the 1960s[2,7-9]. This domination has been institutionalized through a range of laws and
(provide engineering knowledge); generating possibilities of how the students in the video mightbe making sense of the activity (empathize with student perspective); and assessing the students’work and proposing ways for them to proceed (direct student work).Here we present our teaching-noticing matrix (Table 1) which intersects the categories of teacherattention with their envisioned responses to students. This matrix illustrates the interaction ofteacher attention and envisioned response: while teachers’ attention at different moments Page 24.1127.7inevitably influences how they envision themselves responding, their envisioned responses, in
activities lead tolively participation from students and the production of rich artifacts seemingly teeming with theapplication of deep STEM concepts, practices, and processes. However, the excitementassociated with these activities does not always translate to accurate measurements of whatstudents are or are not learning. Engineering design-based activities are relatively new in K-12education and the assessments teachers are familiar with from their science or mathematicsteaching are not so great at assessing the complexities introduced with prototype solutions toopen-ended design scenarios.Within the research community, the need for better assessment tools and methods has been well-established [1], and even argued as “our essential new priority
PolyPomona). Identifying the CSFs is essential as sociocultural, academic, and environmental factorssignificantly affect transfer students' academic performance. The author composed a series ofquestions that fall into sociocultural, academic, and environmental factors (this survey wasapproved by the CPP IRB 23-003). A total of 41 transfer students responded to the survey, andthe author identified CSFs for transfer students as 1) a sense of belonging, 2) networking withfaculty, staff, and peers, and 3) advising for career development and available resources from theuniversity. The identified factors should be addressed when the university develops a newprogram for transfer students.IntroductionThe State of California, which has the most extensive
learning is well established [1], educational needs havechanged in many ways over the past few years. This is partly due to Covid isolation and itsripple effects, and partly due to a rapidly evolving broader context for how people socialize andaccess, distribute and retain information. A forty-year study from 1976-2017 showed increasedlevels of loneliness and isolation in the 2010’s was strongly correlated with fewer in-personinteractions [2]. Prior to the pandemic a significant portion of college students reported feelinglonely [3]. Students have a deep need for connection [3], which is more pressing in light of theMental Health crisis in the United States which was exacerbated by Covid isolation [4]. Collegestudents have also reported feeling
orchallenges of these groups, underscoring the need for further research to identify these variables.[1]Another study by Griffin et al. focused on group size effects in a capstone senior design projectrevealed similar results. Over two semesters, students in larger groups achieved high grades andreported better experiences than those in smaller groups. [2] The upcoming sections of our studywill delve into the possible reasons behind these outcomes, including the impact of personalitiesin smaller groups versus factors like work distribution in larger groups.In a preliminary study to this one, the authors’ examined the impact of gender compositionwithin medium-sized groups. This study seemed to indicate that students in groups with an evengender
stakeholder groups.Introduction & Literature ReviewNationally, there are widely known, persistent inequities in STEM student outcomes. This studyhas its origins in concerns about inequities, but concerns were accompanied by a skepticismabout simplistic diagnoses of the problem. Inequitable student outcomes have strong associationswith race and family income, which can be proxies for access to quality secondary education andparental college achievement [1], but there are other factors at work. Students pursuing STEMmajors in college often suffer even worse outcomes than their non-STEM peers, with studentsfrom underserved groups experiencing much lower retention rates (i.e., retention in a STEMmajor and retention in college generally) and
Bakka, Jill Castle, Dr. Maura Borrego The University of Texas at Austin 1 RoadmapBackground on LGBTQ+ studentexperiences in STEM Describe the details of the study and data analysis Discuss the themes that emerged and next steps 2 Language Used I will be using the terms “LGBTQ+” and “Queer” interchangeably to refer to anyone with a marginalized sexual or gender identity. I will be using the term “transgender” to refer to someone whose gender identity does not align with their sex they were assigned at birth I will use the term TGNB to refer to anyone with a
participants’ social interactions and mentornetworks. We included an emphasis on technology through coding and computer science, variousengineering fields, and included a mental health focus. More pre- and post-assessments wereprovided to help decide ANGELS participants’ engineering identity and engineering communalvalues. This CoNECD paper will lead to a discussion on the importance of connecting academiaand the community as it relates to diversity in education, as modeled in the ANGELS Programs.Keywords: girls in STEM, Summer Program, Networks, non-traditional STEM educationIntroductionWhile many STEM fields (e.g., Biology) have made significant strides in supporting therecruitment and retention of some underrepresented groups [1], women
by increasing women’s participation in the engineering field. Wediscuss our process and findings further.Keywords: gender gap, Middle Eastern students, engineering, systematized reviewIntroduction:There is clear gender inequity in the global landscape of engineering education and professionalpractice, leading women to be significantly underrepresented in comparison to men [1]. Thesedifferences are especially clear in Middle Eastern countries, where such societies exist with specialcultural, social, and institutional characteristics that lead women to face unique challenges. Thesefeatures–for example, job market biases that favor males in engineering and other technical fieldsand societal expectations that steer women towards fields perceived
, disability is stigmatized, and open discussions ofneurodivergence and disability are less prevalent, leading to an inability to understand howindividuals with ADHD navigate engineering ecosystems. We have two main objectives in thispaper: 1) critically analyze framings of ADHD and disability in engineering, and 2) create anddisseminate qualitative elicitation questions to create counterstories from individuals withADHD. This work forms part of a larger project to answer the following research question: Canwe reconceptualize ADHD in engineering beyond deficit frameworks through criticalmethods that uncover and question hegemonic discourses and the power those discourseshave? Positionality Statement and Introduction to Co-authorsOur
of color-evasive ideology.METHODSData CollectionInstruments. During December 2023 we administered a survey to STEM faculty members andadministrators throughout the U.S. The first two sections were Pohan and Aguilar’s (2001)Personal Beliefs about Diversity and Professional Beliefs About Diversity scales, consisting of15 and 25 items, respectively. The belief scales included questions that address a range ofidentities, including race, ethnicity, gender, disability, LGBTQ identity, socioeconomic status,and nationality. For this study, we examined only race, ethnicity, and nationality. Respondentswere asked to what extent they agreed or disagreed with each statement using a five-point Likertscale that ranged from strongly disagree (1) to
engineering sparked my interest in wanting tounderstand the experiences & knowledge of faculty, specifically the experiences that influenced their pedagogical practices. 1 Knowledge Check Critical When you hear the term critical, what does It mean to you? Critical ConsciousnessHave you heard of the concept criticalconsciousness? If so, where and what Is your understanding of it? 2Background 3 Critical Consciousness An individual’s awareness of oppressive systemic forces in society, Defined a sense of
, and educatio ©American Society for Engineering Education, 2025 Gendered Impacts of Code Critiquers on Self-Efficacy in First-Year Engineering StudentsIntroductionThe demand for skilled programmers in industry continues to grow. However, research hasshown that women often face challenges in developing programming skills, primarily due tolower levels of programming self-efficacy [1], [2]. This discrepancy has contributed to persistentgender gaps in technology-related fields. There remains a critical research gap regarding thedifferential impact of educational interventions on programming self-efficacy across genders,particularly in engineering. Addressing this gap is essential to
, there has been a growing emphasis on the importance of inclusive and equitableteaching practices in higher education [1], [2]. As diversity in student populations increases [3],it becomes imperative for faculty to adapt their teaching methods to create equitable andinclusive learning environments and to adapt their course material to address societal issues. Thisneed is especially pronounced in engineering education, which has traditionally been perceivedas a meritocratic field where objective measures of performance overshadow the nuancedrealities of diverse student experiences [4], [5]. This perception can inadvertently perpetuatestructural inequities, as it overlooks the diverse backgrounds and learning needs of students,leading to
-political trends increasinglyemphasize “data-driven” ideas, boosting the importance of statistical and data literacy forinformed participation in our broader communities. However, there is a persistent “digitaldivide” in which individuals from under-resourced communities have less exposure and access totechnological tools and learning [1]. This gap corresponds with new inequalities as technologiesare largely developed by and accessible to people with privilege [2], [3]. This makes equitableaccess to relevant knowledge and skills an important social justice concern.Research suggests that in SDS, people who are lower-income, Black, Latine, women, and/ordisabled are underrepresented in high school coursework and/or the profession [4], [5], [6], [7
Denver-Metro Engineering Consortium),funded by the US Department of Defense1 is a pathways model designed to introduceunderrepresented community college students to engineering bachelor’s degree programs andentry into the engineering workforce. As part of this six-year-long program to encourage studentsinto and through a pathway that prepares them for an engineering career, the EngineeringMomentum initiative incorporates multiple programs that foster engineering awareness, includinga robust summer internship which allows students to gain valuable engineering researchexperience. The program anticipates 425 students will participate in Engineering Momentumthroughout the six years of the grant (see Table 1), with a subset of ~300 of these
utilizesnarrative interview methodology to capture stories of the lived experience of Black graduate students inengineering. Specifically, there were three inclusion criteria for participants: (1) they had to identify asBlack, and (2) be a graduate student currently enrolled in a doctoral program in engineering at ahistorically white institution in the United States, and (3) attended an HBCU for undergraduateengineering studies. A phenomenographic lens was used during the analysis process to organize and codesalient themes identified in the interviews. Pilot study results show that through the process oftransitioning from an HBCU, an environment where participants felt valued, and supported, to an HWIfor graduate studies brought about a feeling of “culture
-appropriate activities, marketing materials, graphics and arobot mascot, recruited 40 volunteers and 10 industry/partner school sponsors for this inauguralyear. All costs of the event were fully absorbed by the Saguaro Math & Science Academy parentBooster Board’s 501 (c) (3) general funds. ● Anticipating participation similar to that of theannual Girl Power event of 40 students, the launch year event fielded 130 young children and100 adult participants. ● From the connections made at the event, three long running ‘spinoff’outreach initiatives were launched: a student-led math tutoring program at a local Title 1 school;a student mentored young girls’ programming group; and full development and launch of theSisters in STEM website for connectivity
environment, setting a newparadigm in personalized, diverse, and inclusive engineering education through AI technology.1. IntroductionThe pursuit of educational equity for students living with disabilities (SLWD) has been atransformative journey, marked by a series of legal and policy milestones that reflect an evolvingunderstanding of what equity should look like in learning environments. Initially, the concept ofeducational equity in the United States emerged from the need to provide accessible education toa diverse population amid industrialization and increased immigration [1], [2]. However, thisearly notion of equity often overlooked the needs of marginalized groups, including the poor,SLWD, indigenous peoples, and African Americans. The Civil
after high school completion, known as the immediate college rate [1, p. 24].Specifically, increasing enrollment and retention in STEM degrees remains an ongoing challengeas its workforce accounts for 24% of the total U.S. workforce [2]. In this regard, there is a specialinterest in increasing the number of degrees in STEM, but also in the fact that workers representthe diversity of the country. In order to promote STEM degrees, it is important to work alongsideacademia to maintain a steady professional flow and achieve diversity goals, as underrepresentedprofessionals just accounted for 23% of STEM workforce in 2021, compared to 31% of the USemployment in Non-Stem fields. [2]. Thus, efforts to increase academic preparation forunderrepresented
environment,social cognitions, job satisfaction, and turnover or persistence intentions. 1 Background search Latinx in the U.S. • One of the youngest and fastest growing groups in the U.S. • comprised 19% of the population • Represent a growing segment of the U.S. labor force • almost 1 in 5 workers are LatinxWe will start by providing a context for this group and why more research is needed
-environmental factors shaping STEM persistence and post-secondary plans Pulled in or pushed out? Underrepresented minority high school students describe socio- environmental factors shaping STEM persistence and post-secondary plans AbstractIntroductionThis research applies the Phenomenological Variant of Ecological Systems Theory to understandthe persistence of racially underrepresented minority (URM) youth in STEM pathways. URMyouth aspire to STEM careers at the same rate as White peers [1], but Black and Latinx studentsleave STEM disciplines at nearly twice the rate of White students [2]. As a result, the STEMworkforce does not reflect the country’s diversity. Literature reveals key
Engineering Education, 2023External review letters for promotion and tenure decisions atresearch-intensive institutions: An analysis of the content of template letters for bias and recommendations for inclusive language Minerick, A.1, Cervato, C.2, Cockrell, M.2, Bilen- Green, C.3 & Koretsky, C.4 1 Michigan Technological University, Houghton, MI 2 Iowa State University, Ames, IA 3 North Dakota State University, Fargo, ND 4 Western Michigan University, Kalamazoo, MIExternal letters for tenure and promotion to associateprofessor ● Often requires letters from 3-20 external reviewers ● Requests typically sent to full professors with