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1. Beyond Surveys: Using Visual Data to Evidence Achievement of Proposed Learning Objectives

   Guillemard, L. ( June 2023 , 2023 ASEE Annual Conference & Exposition)

   Visual qualitative methodologies enhance the richness of data and makes participants experts on the object of interest. Visual data brings another dimension to the evaluation process, besides surveys and interviews, as well as depth and breadth to participants reactions to specific program activities. Visual data consists of images, such as photos, drawings, artwork, among others. Exploring a different approach to assess impact of an educational activity, an exercise was designed where participants were asked to take photos to document a site visit to an area impacted by a swarm of earthquakes in 2019. The exercise required taking five photos of either objects, persons, scenery, structures, or any other thing that captured their attention during the visit and write a reflective essay to answer three questions: 1) How do these photos represent your site visit experience? 2) Based on the content of your photos, write about what you learned, discovered, new knowledge acquired, emotions, changes in your way of thinking, etc., and 3) What did you learned or discovered from doing this exercise? Twenty-two undergraduate engineering and architecture students from the RISE-UP Program, enrolled in a curricular sequence in design and construction of resilient and sustainable structures, completed the exercise. Analyses of obtained data includes frequency of captured images and content analysis of reflective essays to determine instances where each of the four proposed learning objectives was present. Results show that across essays, 32% of the essays include text that demonstrate impact related to the first objective, 59% for the second, 73% for the third, and 86% for the fourth objective. Forty-five percent of essays included text considered relevant but not related to an objective. Personal, social, and career insights were categorized as unintended results. Photos taken by students represent what they considered relevant during the visit and also evidence the achievement of the proposed learning objectives. In general, three mayor categories emerged from the content in photos: 1) photos related to the design and construction of the structure and specific damage observed from earthquakes; 2) photos of classmates, professors, and group activities; and 3) other photos that do not share a theme. Both photos and essays demonstrate that the learning objectives were successfully achieved and encourage the use of visual data as an alternative for the evaluation of educational activities. 

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2. Academic Success and Retention of Underprepared Students

   https://doi.org/10.18260/1-2--36635  

   Hensel, Robin A. ; Dygert, Joseph ; Morris, Melissa Lynn ( July 2021 , 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference)

   null (Ed.)

   The Academy of Engineering Success (AcES) program, established in 2012 and supported by NSF S-STEM award number 1644119 throughout 2016-2021, employs literature-based, best practices to support and retain underprepared and underrepresented students in engineering through graduation with the ultimate goal of diversifying the engineering workforce. A total of 71 students, including 21 students supported by S-STEM scholarships, participated in the AcES program between 2016-2019 at a large R1 institution in the mid-Atlantic region. All AcES students participate in a common program during their first year, comprised of: a one-week summer bridge experience, a common fall professional development course and spring “Engineering in History” course, and a common academic advisor. These students also have opportunities for: (1) faculty-student, student-student, and industry mentor-student interaction, (2) academic support and student success education, and (3) major and career exploration – all designed to help students develop feelings of institutional inclusion, engineering self-efficacy and identity, and academic and professional success skills. They also participate in the GRIT, Longitudinal Assessment of Engineering Self-Efficacy (LAESE), and the Motivated Strategies for Learning Questionnaire (MSLQ) surveys plus individual and focus group interviews at the start, midpoint, and end of each fall semester and at the end of the spring semester. The surveys provide a measure of students’ GRIT, their beliefs related to the intrinsic value of engineering and learning, their feelings of inclusion and test anxiety, and their self-efficacy related to engineering, math, and coping skills. The interviews provide information related to the student experience, feelings of inclusion, and program impact. Institutional data, combined with the survey and interview responses, are used to examine four research questions designed to examine the relationship of the elements of the AcES program to participants’ academic success and retention in engineering. Early analyses of the student retention data and survey responses from the 2017 and 2018 cohorts indicated students who ultimately left engineering before the start of their second year initially scored higher in areas of engineering self-efficacy and test anxiety, than those who stayed in engineering, while those who retained to the second year began their engineering education with lower self-efficacy scores, but higher scores related to the belief in the intrinsic value of engineering, learning strategy use, and coping self-efficacy. These results suggest that students who start with unrealistically high expectations of their performance leave engineering at higher rates than students who start with lower personal performance expectations, but have stronger value of the field and strategies for meeting challenges. These data appear to support the Kruger-Dunning effect in which students with limited knowledge of a specific field overestimate their abilities to perform in that area or underestimate the level of effort success may require. This paper will add an analysis of the academic success and retention data from 2019 cohort to this research, discuss the impact of COVID-19 to this program and research, as well as illuminate the quantitative results with the qualitative data from individual and focus group interviews regarding the aspects of the AcES program that impact student success, their expectations and methods for overcoming academic challenges, and their feelings of motivation and inclusion. 

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3. Retention Focused S-STEM Support Program

   Hensel, Robin ; Morris, Melissa ; Dygert, Joseph ( September 2019 , AAAS/NSF 2019 S-STEM Symposium)

   POSTER. Presented at the Symposium (9/12/2019) Abstract: The Academy of Engineering Success (AcES) employs literature-based, best practices to support and retain underrepresented students in engineering through graduation with the ultimate goal of diversifying the engineering workforce. AcES was established in 2012 and has been supported via NSF S-STEM award number 1644119 since 2016. The 2016, 2017, and 2018 cohorts consist of 12, 20, and 22 students, respectively. Five S-STEM supported scholarships were awarded to the 2016 cohort, seven scholarships were awarded to students from the 2017 cohort, and six scholarships were awarded to students from the 2018 cohort. AcES students participate in a one-week summer bridge experience, a common fall semester course focused on professional development, and a common spring semester course emphasizing the role of engineers in societal development. Starting with the summer bridge experience, and continuing until graduation, students are immersed in curricular and co-curricular activities with the goals of fostering feelings of institutional inclusion and belonging in engineering, providing academic support and student success skills, and professional development. The aforementioned goals are achieved by providing (1) opportunities for faculty-student, student-student, and industry mentor-student interaction, (2) academic support, and student success education in areas such as time management and study skills, and (3) facilitated career and major exploration. Four research questions are being examined, (1) What is the relationship between participation in the AcES program and participants’ academic success?, (2) What aspects of the AcES program most significantly impact participants’ success in engineering, (3) How do AcES students seek to overcome challenges in studying engineering, and (4) What is the longitudinal impact of the AcES program in terms of motivation, perceptions, feelings of inclusion, outcome expectations of the participants and retention? Students enrolled in the AcES program participate in the GRIT, LAESE, and MSLQ surveys, focus groups, and one-on-one interviews at the start and end of each fall semester and at the end of the spring semester. The surveys provide a measure of students’ GRIT, general self-efficacy, engineering self-efficacy, test anxiety, math outcome efficacy, intrinsic value of learning, inclusion, career expectations, and coping efficacy. Focus group and interview responses are analyzed in order to answer research questions 2, 3, and 4. Survey responses are analyzed to answer research question 4, and institutional data such as GPA is used to answer research question 1. An analysis of the 2017 AcES cohort survey responses produced a surprising result. When the responses of AcES students who retained were compared to the responses of AcES students who left engineering, those who left engineering had higher baseline values of GRIT, career expectations, engineering self-efficacy, and math outcome efficacy than those students who retained. A preliminary analysis of the 2016, 2017, and 2018 focus group and one-on-one interview responses indicates that the Engineering Learning Center, tutors, organized out of class experiences, first-year seminar, the AcES cohort, the AcES summer bridge, the AcES program, AcES Faculty/Staff, AcES guest lecturers, and FEP faculty/Staff are viewed as valuable by students and cited with contributing to their success in engineering. It is also evident that AcES students seek help from peers, seek help from tutors, use online resources, and attend office hours to overcome their challenges in studying engineering. 

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4. Understanding Student Retention in Engineering

   Hensel, Robin A. ; Dygert, Joseph ; Morris, Melissa Lynn ( June 2020 , 2020 ASEE Virtual Annual Conference Content Access)

   The Academy of Engineering Success (AcES) program employs known best practices to support engineering students with the goal of retaining them through graduation and diversifying the engineering workforce. The AcES program started in 2012 and has been supported by NSF SSTEM award number DUE-1644119 since 2016. Cohorts from 2016, 2017, 2018, and 2019 consist of 12, 20, 22, and 17 students, respectively. Twenty-one renewable S-STEM supported scholarships have been awarded to students since 2016. AcES students participate in a one-week pre-fall bridge experience, a common fall professional development course, and a course emphasizing the role of engineers in societal development in the spring semester. Starting in the bridge experience and continuing until graduation, students participate in curricular and co-curricular activities with the goals of: (1) fostering feelings of belonging in engineering and institutional inclusion, (2) encouraging professional development, and (3) supporting academic achievement and student success. These goals are achieved by providing: (1) opportunities for interaction between students and peers, faculty, and industry mentors; (2) major and career exploration opportunities; and (3) academic support and student success education in areas such as time management and study skills. AcES students participate in the GRIT, LAESE, and MSLQ surveys, as well as in focus groups and one-on-one interviews at the start and end of each fall semester and at the end of the spring semester. The surveys provide a quantitative measure of students’ GRIT, general self-efficacy, engineering self-efficacy, test anxiety, math outcome efficacy, intrinsic value of learning, inclusion, career expectations, and coping efficacy. Qualitative data from the focus group and individual interview responses are used to provide insight into the quantitative survey results. Surprisingly, a previous analysis of the 2017 cohort survey responses revealed that students who left engineering had higher baseline values of GRIT, career expectations, engineering self-efficacy, and math outcome efficacy than those students who retained. Hence, the 2018 cohort survey responses were analyzed in relation to retention and are presented along with qualitative results to provide a holistic understanding of student retention. Results from both the 2017 and 2018 cohorts are presented and discussed in the paper and poster. 

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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 which 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. 

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