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1. Intersectionality of Non-normative Identities in the Cultures of Engineering

   https://doi.org/10.18260/p.25448  

   Kirn, Adam ; Godwin, Allison ; Benson, Lisa ; Potvin, Geoff ; Doyle, Jacqueline ; Boone, Hank ; Verdin, Dina ( June 2016 , ASEE Annual Conference & Exposition)

   Traditionally, engineering culture has limited rather than fostered diversity in engineering. To address this persistent issue, we examine how diverse students identify with engineering and navigate the culture of engineering. We define diversity not by making a priori categorizations according to traditional demographic information (e.g., race, gender, sexual orientation, etc.), but instead by investigating the variation in students’ attitudinal profiles on a host of affective measures. Using these measures, we develop an identification of large, “normative” groups of engineers as well as “non-normative” students who emerge as having distinct attitudinal profiles. This mixed methods study investigates the intersectionality of engineering students' personal identities to understand: How do non-normative groups in engineering form an engineering identity and navigate a culture dominated by limited diversity? The focus of this paper is on the first phase this project, in which students' identities, motivation, psychological traits, perceived supports and barriers to engineering, and other background information is being quantitatively assessed. Pilot survey data were collected from participants enrolled in second semester first-year engineering programs across three institutions (n=374). We used topological data analysis (TDA) to create normative and non-normative attitudinal profiles of respondents. As a relatively new and powerful set of analytic methods, TDAmore »clusters variegated data to understand an underlying structure, or topology, which emerges from the data. Our preliminary results show definite patterns which we then break down according to students' self-identified demographics. Additionally, a subset of participants who completed our quantitative instrument were interviewed about their experiences in and identification with engineering (n=7). Initial qualitative data analysis indicate that students who reside at intersectional boundaries of diversity have difficulty finding similar role models in engineering and often find themselves expending additional effort when compared to their peers to establish themselves in both engineering and non-engineering communities. Results of this quantitative and qualitative work were used to further refine the quantitative instrument that is to be used in subsequent phases of the project.« less
2. Lived Experiences of African American Engineering Students at a PWI Through the Lens of Navigational Capital

   Damas, S. ; Benson, L. ( February 2022 , 2022 CoNECD (Collaborative Network for Engineering & Computing Diversity))

   There are significant disparities between the conferring of science, technology, engineering, and mathematics (STEM) bachelor’s degrees to minoritized groups and the number of STEM faculty that represent minoritized groups at four-year predominantly White institutions (PWIs). Studies show that as of 2019, African American faculty at PWIs have increased by only 2.3% in the last 20 years. This study explores the ways in which this imbalance affects minoritized students in engineering majors. Our research objective is to describe the ways in which African American students navigate their way to success in an engineering program at a PWI where the minoritized faculty representation is less than 10%. In this study, we define success as completion of an undergraduate degree and matriculation into a Ph.D. program. Research shows that African American students struggle with feeling like the “outsider within” in graduate programs and that the engineering culture can permeate from undergraduate to graduate programs. We address our research objective by conducting interviews using navigational capital as our theoretical framework, which can be defined as resilience, academic invulnerability, and skills. These three concepts come together to denote the journey of an individual as they achieve success in an environment not created with them inmore »mind. Navigational capital has been applied in education contexts to study minoritized groups, and specifically in engineering education to study the persistence of students of color. Research on navigational capital often focuses on how participants acquire resources from others. There is a limited focus on the experience of the student as the individual agent exercising their own navigational capital. Drawing from and adapting the framework of navigational capital, this study provides rich descriptions of the lived experiences of African American students in an engineering program at a PWI as they navigated their way to academic success in a system that was not designed with them in mind. This pilot study took place at a research-intensive, land grant PWI in the southeastern United States. We recruited two students who identify as African American and are in the first year of their Ph.D. program in an engineering major. Our interview protocol was adapted from a related study about student motivation, identity, and sense of belonging in engineering. After transcribing interviews with these participants, we began our qualitative analysis with a priori coding, drawing from the framework of navigational capital, to identify the experiences, connections, involvement, and resources the participants tapped into as they maneuvered their way to success in an undergraduate engineering program at a PWI. To identify other aspects of the participants’ experiences that were not reflected in that framework, we also used open coding. The results showed that the participants tapped into their navigational capital when they used experiences, connections, involvement, and resources to be resilient, academically invulnerable, and skillful. They learned from experiences (theirs or others’), capitalized on their connections, positioned themselves through involvement, and used their resources to achieve success in their engineering program. The participants identified their experiences, connections, and involvement. For example, one participant who came from a blended family (African American and White) drew from the experiences she had with her blended family. Her experiences helped her to understand the cultures of Black and White people. She was able to turn that into a skill to connect with others at her PWI. The point at which she took her familial experiences to use as a skill to maneuver her way to success at a PWI was an example of her navigational capital. Another participant capitalized on his connections to develop academic invulnerability. He was able to build his connections by making meaningful relationships with his classmates. He knew the importance of having reliable people to be there for him when he encountered a topic he did not understand. He cultivated an environment through relationships with classmates that set him up to achieve academic invulnerability in his classes. The participants spoke least about how they used their resources. The few mentions of resources were not distinct enough to make any substantial connection to the factors that denote navigational capital. The participants spoke explicitly about the PWI culture in their engineering department. From open coding, we identified the theme that participants did not expect to have role models in their major that looked like them and went into their undergraduate experience with the understanding that they will be the distinct minority in their classes. They did not make notable mention of how a lack of minority faculty affected their success. Upon acceptance, they took on the challenge of being a racial minority in exchange for a well-recognized degree they felt would have more value compared to engineering programs at other universities. They identified ways they maneuvered around their expectation that they would not have representative role models through their use of navigational capital. Integrating knowledge from the framework of navigational capital and its existing applications in engineering and education allows us the opportunity to learn from African American students that have succeeded in engineering programs with low minority faculty representation. The future directions of this work are to outline strategies that could enhance the path of minoritized engineering students towards success and to lay a foundation for understanding the use of navigational capital by minoritized students in engineering at PWIs. Students at PWIs can benefit from understanding their own navigational capital to help them identify ways to successfully navigate educational institutions. Students’ awareness of their capacity to maintain high levels of achievement, their connections to networks that facilitate navigation, and their ability to draw from experiences to enhance resilience provide them with the agency to unleash the invisible factors of their potential to be innovators in their collegiate and work environments.« less
3. Defining First-generation and Low-income Students in Engineering: An Exploration

   https://doi.org/10.18260/1-2--34373  

   Atwood, Sara A ; Gilmartin, Shannon K ; Harris, Angela ; Sheppard, Sheri ( January 2020 , ASEE Annual Conference proceedings)

   First-generation (FG) and/or low-income (LI) engineering student populations are of particular interest in engineering education. However, these populations are not defined in a consistent manner across the literature or amongst stakeholders. The intersectional identities of these groups have also not been fully explored in most quantitative-based engineering education research. This research paper aims to answer the following three research questions: (RQ1) How do students’ demographic characteristics and college experiences differ depending on levels of parent educational attainment (which forms the basis of first-generation definitions) and family income? (RQ2) How do ‘first-generation’ and ‘low-income’ definitions impact results comparing to their continuing-generation and higher-income peers? (RQ3) How does considering first-generation and low-income identities through an intersectional lens deepen insight into the experiences of first-generation and low-income groups? Data were drawn from a nationally representative survey of engineering juniors and seniors (n = 6197 from 27 U.S. institutions). Statistical analyses were conducted to evaluate respondent differences in demographics (underrepresented racial/ethnic minority (URM), women, URM women), college experiences (internships/co-ops, having a job, conducting research, and study abroad), and engineering task self-efficacy (ETSE), based on various definitions of ‘first generation’ and ‘low income’ depending on levels of parental educational attainment and self-reported family income. Ourmore »results indicate that categorizing a first-generation student as someone whose parents have less than an associate’s degree versus less than a bachelor’s degree may lead to different understandings of their experiences (RQ1). For example, the proportion of URM students is higher among those whose parents have less than an associate’s degree than among their “associate’s degree or more” peers (26% vs 11.9%). However, differences in college experiences are most pronounced among students whose parents have less than a bachelor’s degree compared with their “bachelor’s degree or more” peers: having a job to help pay for college (55.4% vs 47.3%), research with faculty (22.7% vs 35.0%), and study abroad (9.0% vs 17.3%). With respect to differences by income levels, respondents are statistically different across income groups, with fewer URM students as family income level increases. As family income level increases, there are more women in aggregate, but fewer URM women. College experiences are different for the middle income or higher group (internship 48.4% low and lower-middle income vs 59.0% middle income or higher; study abroad 11.2% vs 16.4%; job 58.6% vs 46.8%). Despite these differences in demographic characteristics and college experiences depending on parental educational attainment and family income, our dataset indicates that the definition does not change the statistical significance when comparing between first-generation students and students who were continuing-generation by any definition (RQ2). First-generation and low-income statuses are often used as proxies for one another, and in this dataset, are highly correlated. However, there are unique patterns at the intersection of these two identities. For the purpose of our RQ3 analysis, we define ‘first-generation’ as students whose parents earned less than a bachelor’s degree and ‘low-income’ as low or lower-middle income. In this sample, 68 percent of students were neither FG nor LI while 11 percent were both (FG&LI). On no measure of demographics or college experience is the FG&LI group statistically similar to the advantaged group. Low-income students had the highest participation in working to pay for college, regardless of parental education, while first-generation students had the lower internship participation than low-income students. Furthermore, being FG&LI is associated with lower ETSE compared with all other groups. These results suggest that care is required when applying the labels “first-generation” and/or “low-income” when considering these groups in developing institutional support programs, in engineering education research, and in educational policy. Moreover, by considering first-generation and low-income students with an intersectional lens, we gain deeper insight into engineering student populations that may reveal potential opportunities and barriers to educational resources and experiences that are an important part of preparation for an engineering career.« less
4. Early Career Engineers’ Views of Ethics and Social Responsibility: Study Overview

   Claussen, S. ; Jesiek, B. K. ; Zoltowski, C. B. ; Howland, S. ( July 2021 , Proceedings of the 2021 American Society of Engineering Education Virtual Annual Conference)

   Amidst growing concerns about a lack of attention to ethics in engineering education and professional practice, a variety of formal course-based interventions and informal or extracurricular programs have been created to improve the social and ethical commitments of engineering graduates. To supplement the formal and informal ethics education received as undergraduate students, engineering professionals often also participate in workplace training and professional development activities on ethics, compliance, and related topics. Despite this preparation, there is growing evidence to suggest that technical professionals are often challenged to navigate ethical situations and dilemmas. Some prior research has focused on assessing the impacts of a variety of learning experiences on students’ understandings of ethics and social responsibility, including the PIs’ prior NSF-funded CCE STEM study which followed engineering students through the four years of their undergraduate studies using both quantitative and qualitative research methods. This prior project explored how the students’ views on these topics changed across demographic groups, over time, between institutions, and due to specific interventions. Yet, there has been little longitudinal research on how these views and perceptions change (or do not change) among engineers during the school-to-work transition. Furthermore, there has been little exploration of how these views aremore »influenced by the professional contexts in which these engineers work, including cultures and norms prevalent in different technical fields, organizations, and industry sectors. This NSF-supported Ethical and Responsible Research (ER2) study responds to these gaps in the literature by asking: RQ1) How do perceptions of ethics and social responsibility change in the transition from undergraduate engineering degree programs to the workplace (or graduate studies), and how are these perceptions shaped or influenced?, and RQ2) How do perceptions of ethics and social responsibility vary depending on a given individual’s engineering discipline/background and current professional setting? This paper gives an overview of the research project, describing in particular the longitudinal, mixed-methods study design which will involve collecting and analyzing data from a large sample of early career engineers. More specifically, we will present the proposed study contexts, timeline, target subject populations, and procedures for quantitative and qualitative data collection and analysis. We will also describe how this study leverages our prior project, thereby allowing unique longitudinal comparisons that span participants’ years as an engineering undergraduate student to their time as an early-career professional. Through this project, we aim to better understand how early career engineers’ perceptions of social and ethical responsibility are shaped by their prior experiences and current professional contexts. This paper will likely be of particular interest to scholars who teach or research engineering ethics, social responsibility, and professional practice.« less
5. Building Supports for Diversity through Engineering Teams

   Kirn, A. ; Godwin, A. ; Pearson, N. ; Rodriguez-Simmonds, H.E. ; Rohde, J.A. ; Verdín, D. ; Ross, M.S. ( June 2017 , ASEE Annual Conference proceedings)

   https://peer.asee.org/27918 Engineering has become a globally focused career with the need to work with people from diverse backgrounds. Researchers seeking to improve students’ teaming skills have found ways to assess team member effectiveness and development of teaming skills. Despite the emphasis on the importance of developing engineering students’ teaming skills, little research has been conducted on how students develop sensitivity for students from different cultures and backgrounds within teams in first-year engineering programs. Here we define diversity sensitivity as students’ multicultural openness and actions taken to incorporate diverse students. To address the lack of literature on diversity and teaming this work examines the following research questions: What changes occur in students’ diversity sensitivity, multicultural effectiveness, and engineering practices as a result of working in diverse teams? How do students’ perceptions of diversity, affect, and engineering practices change as a result of working on diverse teams? The focus of this paper is on the first phase of this three phase project, in which students’ multicultural openness, diversity sensitivity, and teaming effectiveness were measured quantitatively. Additionally, results from qualitative in-depth interviews further develop emerging trends in the quantitative portions of the work. Survey data were collected from participants enrolled in first semestermore »first-year engineering programs at two institutions (n = 1206) as well as data from the Comprehensive Assessment of Team Member Effectiveness (n = 2763 inclusive of survey participants). We used linear modeling, advanced clustering techniques, and pre-post comparisons to understand underlying student attitudes as well as the ways in which students’ attitudes may shift over the course of the semester. Preliminary results indicate that students’ awareness of diversity increased over the semester; however, unwillingness to take action to support diverse groups also increased. We also found that student attitudes towards teaming are ‘sticky’ and difficult to shift over a single-semester experience even when teaming effectiveness and diversity are explicitly taught in the classroom. Additionally, five teams were observed throughout the course of the semester. These observations were conducted to understand how students interact in ways both explicit and implicit. that may or may not improve belongingness in engineering during teaming activities. Students from teams were interviewed individually after completion of their project to understand their perceptions of diversity. Initial trends indicate a valuing of diversity but a lack of adaptation for diverse individuals due to the demands of engineering tasks. Results of this quantitative and qualitative work were used to further refine instruments and data collection protocols for replication in the subsequent phases of the project.« less