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1. 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
2. Exploring Alignment Between Engineering Students’ Job Plans and Post-Graduation Outcomes. Paper presented at

   Rüde, L ; Harris, A ; Gilmartin, S ; Sheppard, S. ( October 2018 , IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, 2018. IEEE)

   This Research-to-Practice Full Paper investigates engineering students’ career goals and intentions regarding organizational settings, and how their goals and intentions relate to their background, learning and contextual measures. Moreover, despite vocational choice and turnover having been heavily studied in the literature, few studies have examined how students’ career goals relate to change in their organizational settings over time and how these perceptions then influence their turnover intentions. To fill in this research gap, this paper explores how organizational setting and respondent aspiration to be in that setting relate to turnover intentions. The paper is based on the nationally-representative, longitudinal Engineering Majors Survey and has a sample size of 350 respondents, characterized as employed and recently graduated (<2y) from an undergraduate engineering program. Respondents are categorized in three different alignment groups (Aligned, Fluid, Unaligned) according to their career goal achievement. Respondents who are currently employed in the type of organization, they had imagined being employed at a year earlier are called Aligned. Respondents who are actually employed in the type of organization (e.g., small versus large firm) to which they stated “Might or might not” be employed a year earlier are classified as Fluid. Finally, respondents, who work in the organizationalmore »setting, which they did not want to work in one year prior, are called Unaligned. The paper also determines respondents turnover intentions (Stay, Flexible, Go) related to organizational settings, such as small companies or medium and large companies. Alignment and turnover groups were then compared with each other in relation to background, learning, and contextual measures. Background measures are gender, underrepresented minority status, and first generation to college status. Learning measures are internship experience, and contextual measures are job satisfaction and grade point average. The findings suggest that most of these recent graduates are Aligned and want to Stay in their organizational setting. Employees in small companies are relatively less Aligned and are more likely to Go and leave the organizational setting than are employees in large companies. Respondents who have done an internship are more often Aligned and less likely want to Go and leave their organizational setting than those who have not done an internship. These results suggest that many respondents decide before graduation on an organizational setting and continue to desire the same organizational setting after being employed for some time. Future longitudinal research should compare organizational settings-based turnover intentions with turnover intentions related to specific companies, -as a complement to much of the in literature on turnover intentions mostly refers to leaving specific organizations. Keywords: career decisions, labor turnover intentions, organizational setting, engineering graduates, alignment« less
3. Exploring Alignment Between Engineering Students’ Job Plans and Post-Graduation Outcomes

   Rude, L. ; Harris, A. ; Gilmartin, S. ; Sheppard, S. ( January 2018 , Proceedings of the 48th Annual Frontiers in Education (FIE) Conference, October 3-6, 2018. San Jose, California.)

   This Research-to-Practice Full Paper investigates engineering students’ career goals and intentions regarding organizational settings, and how their goals and intentions relate to their background, learning and contextual measures. Moreover, despite vocational choice and turnover having been heavily studied in the literature, few studies have examined how students’ career goals relate to change in their organizational settings over time and how these perceptions then influence their turnover intentions. To fill in this research gap, this paper explores how organizational setting and respondent aspiration to be in that setting relate to turnover intentions. The paper is based on the nationally-representative, longitudinal Engineering Majors Survey and has a sample size of 350 respondents, characterized as employed and recently graduated (<2y) from an undergraduate engineering program. Respondents are categorized in three different alignment groups (Aligned, Fluid, Unaligned) according to their career goal achievement. Respondents who are currently employed in the type of organization, they had imagined being employed at a year earlier are called Aligned. Respondents who are actually employed in the type of organization (e.g., small versus large firm) to which they stated “Might or might not” be employed a year earlier are classified as Fluid. Finally, respondents, who work in the organizationalmore »setting, which they did not want to work in one year prior, are called Unaligned. The paper also determines respondents turnover intentions (Stay, Flexible, Go) related to organizational settings, such as small companies or medium and large companies. Alignment and turnover groups were then compared with each other in relation to background, learning, and contextual measures. Background measures are gender, underrepresented minority status, and first generation to college status. Learning measures are internship experience, and contextual measures are job satisfaction and grade point average. The findings suggest that most of these recent graduates are Aligned and want to Stay in their organizational setting. Employees in small companies are relatively less Aligned and are more likely to Go and leave the organizational setting than are employees in large companies. Respondents who have done an internship are more often Aligned and less likely want to Go and leave their organizational setting than those who have not done an internship. These results suggest that many respondents decide before graduation on an organizational setting and continue to desire the same organizational setting after being employed for some time. Future longitudinal research should compare organizational settings-based turnover intentions with turnover intentions related to specific companies, -as a complement to much of the in literature on turnover intentions mostly refers to leaving specific organizations. Keywords: career decisions, labor turnover intentions, organizational setting, engineering graduates, alignment« less
4. Career Certainty: Differences Between Career Certain and Uncertain Engineering Students.

   Schadl, B. ; Sheppard, S. ; Chen, H. ( January 2017 , Proceedings of the American Society for Engineering Education Annual Conference, June 25-28. Columbus, OH.)

   To gain a deeper understanding of the career decisions of undergraduate engineering students, this research paper explores the differences between students who show a high degree of career certainty and those who are rather uncertain about what their professional future should look like. These analyses were based on a dataset from a nationwide survey of engineering undergraduates (n=5,819) from 27 institutions in the United States. The survey was designed with an interest in understanding engineering students’ career pathways. For the purpose of this study, students were designated as either “career uncertain” or “career certain” according to their survey answers. Those two groups were then compared against a variety of background characteristics, past experiences and personality variables. The results suggest that career uncertain and career certain students do not differ on background variables such as gender, age or family income. However, when it comes to students’ past experiences, the percentage of students who had already gained internship experiences during their time in college was significantly higher among career certain students as compared to career uncertain students. As expected, seniors were more certain about their professional future than juniors. Similarly, a higher percentage of career certain students reported talking about their professionalmore »future with other students or faculty members more frequently. Furthermore, career certain students were significantly more likely to show a higher level of innovation self-efficacy and engineering task self-efficacy. In addition, career certain students were more likely to have career goals that involved innovation and they also considered several job characteristics as more important than did uncertain students. On average, career certain engineering students were also more certain about staying in engineering one, five and ten years after graduation. Overall, the results of this research suggest that more hands-on experiences and fostering stronger beliefs in their engineering skills can contribute to undergraduates becoming more certain about their future professional careers.« less
5. The Centrality of Black Identity for Black Students in Engineering

   Mobley, Catherine ; Brawner, Catherine E. ; Brent, Rebecca ; Orr, Marisa K. ( January 2021 , Collaborative Network for Engineering and Computing Diversity (CoNECD) Conference)

   Introduction and Theoretical Frameworks Our study draws upon several theoretical foundations to investigate and explain the educational experiences of Black students majoring in ME, CpE, and EE: intersectionality, critical race theory, and community cultural wealth theory. Intersectionality explains how gender operates together with race, not independently, to produce multiple, overlapping forms of discrimination and social inequality (Crenshaw, 1989; Collins, 2013). Critical race theory recognizes the unique experiences of marginalized groups and strives to identify the micro- and macro-institutional sources of discrimination and prejudice (Delgado & Stefancic, 2001). Community cultural wealth integrates an asset-based perspective to our analysis of engineering education to assist in the identification of factors that contribute to the success of engineering students (Yosso, 2005). These three theoretical frameworks are buttressed by our use of Racial Identity Theory, which expands understanding about the significance and meaning associated with students’ sense of group membership. Sellers and colleagues (1997) introduced the Multidimensional Model of Racial Identity (MMRI), in which they indicated that racial identity refers to the “significance and meaning that African Americans place on race in defining themselves” (p. 19). The development of this model was based on the reality that individuals vary greatly in the extent to whichmore »they attach meaning to being a member of the Black racial group. Sellers et al. (1997) posited that there are four components of racial identity: 1. Racial salience: “the extent to which one’s race is a relevant part of one’s self-concept at a particular moment or in a particular situation” (p. 24). 2. Racial centrality: “the extent to which a person normatively defines himself or herself with regard to race” (p. 25). 3. Racial regard: “a person’s affective or evaluative judgment of his or her race in terms of positive-negative valence” (p. 26). This element consists of public regard and private regard. 4. Racial ideology: “composed of the individual’s beliefs, opinions and attitudes with respect to the way he or she feels that the members of the race should act” (p. 27). The resulting 56-item inventory, the Multidimensional Inventory of Black Identity (MIBI), provides a robust measure of Black identity that can be used across multiple contexts. Research Questions Our 3-year, mixed-method study of Black students in computer (CpE), electrical (EE) and mechanical engineering (ME) aims to identify institutional policies and practices that contribute to the retention and attrition of Black students in electrical, computer, and mechanical engineering. Our four study institutions include historically Black institutions as well as predominantly white institutions, all of which are in the top 15 nationally in the number of Black engineering graduates. We are using a transformative mixed-methods design to answer the following overarching research questions: 1. Why do Black men and women choose and persist in, or leave, EE, CpE, and ME? 2. What are the academic trajectories of Black men and women in EE, CpE, and ME? 3. In what way do these pathways vary by gender or institution? 4. What institutional policies and practices promote greater retention of Black engineering students? Methods This study of Black students in CpE, EE, and ME reports initial results from in-depth interviews at one HBCU and one PWI. We asked students about a variety of topics, including their sense of belonging on campus and in the major, experiences with discrimination, the impact of race on their experiences, and experiences with microaggressions. For this paper, we draw on two methodological approaches that allowed us to move beyond a traditional, linear approach to in-depth interviews, allowing for more diverse experiences and narratives to emerge. First, we used an identity circle to gain a better understanding of the relative importance to the participants of racial identity, as compared to other identities. The identity circle is a series of three concentric circles, surrounding an “inner core” representing one’s “core self.” Participants were asked to place various identities from a provided list that included demographic, family-related, and school-related identities on the identity circle to reflect the relative importance of the different identities to participants’ current engineering education experiences. Second, participants were asked to complete an 8-item survey which measured the “centrality” of racial identity as defined by Sellers et al. (1997). Following Enders’ (2018) reflection on the MMRI and Nigrescence Theory, we chose to use the measure of racial centrality as it is generally more stable across situations and best “describes the place race holds in the hierarchy of identities an individual possesses and answers the question ‘How important is race to me in my life?’” (p. 518). Participants completed the MIBI items at the end of the interview to allow us to learn more about the participants’ identification with their racial group, to avoid biasing their responses to the Identity Circle, and to avoid potentially creating a stereotype threat at the beginning of the interview. This paper focuses on the results of the MIBI survey and the identity circles to investigate whether these measures were correlated. Recognizing that Blackness (race) is not monolithic, we were interested in knowing the extent to which the participants considered their Black identity as central to their engineering education experiences. Combined with discussion about the identity circles, this approach allowed us to learn more about how other elements of identity may shape the participants’ educational experiences and outcomes and revealed possible differences in how participants may enact various points of their identity. Findings For this paper, we focus on the results for five HBCU students and 27 PWI students who completed the MIBI and identity circle. The overall MIBI average for HBCU students was 43 (out of a possible 56) and the overall MIBI scores ranged from 36-51; the overall MIBI average for the PWI students was 40; the overall MIBI scores for the PWI students ranged from 24-51. Twenty-one students placed race in the inner circle, indicating that race was central to their identity. Five placed race on the second, middle circle; three placed race on the third, outer circle. Three students did not place race on their identity circle. For our cross-case qualitative analysis, we will choose cases across the two institutions that represent low, medium and high MIBI scores and different ranges of centrality of race to identity, as expressed in the identity circles. Our final analysis will include descriptive quotes from these in-depth interviews to further elucidate the significance of race to the participants’ identities and engineering education experiences. The results will provide context for our larger study of a total of 60 Black students in engineering at our four study institutions. Theoretically, our study represents a new application of Racial Identity Theory and will provide a unique opportunity to apply the theories of intersectionality, critical race theory, and community cultural wealth theory. Methodologically, our findings provide insights into the utility of combining our two qualitative research tools, the MIBI centrality scale and the identity circle, to better understand the influence of race on the education experiences of Black students in engineering.« less