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1. 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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2. NSF INCLUDES Conference: Advancing the Collective Impact of Retention and Continuation Strategies for Hispanics and Other Underrepresented Minorities in STEM Fields: Conference Proceedings

   Zatz, Marjorie S. ; Gates, Ann Q. ; Santiago, Deborah ( July 2017 , NSF INCLUDES Conference: Advancing the Collective Impact of Retention and Continuation Strategies for Hispanics and Other Underrepresented Minorities in STEM Fields:)

   The 2017 NSF INCLUDES “Conference to Advance the Collective Impact of Retention and Continuation Strategies for Hispanics and Other Underrepresented Minorities in STEM Fields” was held at the Kellogg Conference Center on the Gallaudet University campus in Washington, D.C., on March 6-8th, 2017. The conference brought together 74 researchers, higher education administrators, industry representatives, members of professional societies, and other community members from regions across the United States. Participants shared their experiences and expertise in broadening participation in STEM fields and in identifying strategies to improve outcomes for Hispanics, women, and other underrepresented groups in STEM fields. Panels focused on lessons learned about collective impact, the K-12 pipeline to college and the importance of community, Latino student success in two-year institutions, increasing Latino retention in undergraduate STEM programs, recruitment of highly competitive Latinos and other underrepresented minorities into graduate schools and strategies for successful completion of graduate studies, and industry partnerships to identify a diverse workforce. Panel and keynote presentations focused on evidence-based knowledge, leveraging findings from disciplinary and interdisciplinary fields and from differing types of institutions and educational levels to determine whether strategies identified can yield large-scale progress towards INCLUDES goals. In addition, small breakout sessions offered opportunities for attendees to share their ideas on (1) lessons learned from collective impact projects; (2) obstacles confronting students at various points and in different sectors of the education, career, and industry STEM pathways; and (3) best practices for overcoming barriers and ensuring that the strategies identified would be successful in different contexts. 

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3. A human‐centred learning analytics approach for developing contextually scalable K‐12 teacher dashboards

   https://doi.org/10.1111/bjet.13383  

   Wiley, Korah ; Dimitriadis, Yannis ; Linn, Marcia ( September 2023 , British Journal of Educational Technology)

   This paper describes a Human‐Centred Learning Analytics (HCLA) design approach for developing learning analytics (LA) dashboards for K‐12 classrooms that maintain both contextual relevance and scalability—two goals that are often in competition. Using mixed methods, we collected observational and interview data from teacher partners and assessment data from their students' engagement with the lesson materials. This DBR‐based, human‐centred design process resulted in a dashboard that supported teachers in addressing their students' learning needs. To develop the dashboard features that could support teachers, we found that a design refinement process that drew on the insights of teachers with varying teaching experience, philosophies and teaching contexts strengthened the resulting outcome. The versatile nature of the approach, in terms of student learning outcomes, makes it useful for HCLA design efforts across diverse K‐12 educational contexts.

   What is already known about this topic

   Learning analytics that are aligned to both a learning theory and learning design support student learning.

   LA dashboards that support users to understand the associated learning analytics data provide actionable insight.

   Design‐based research is a promising methodology for Human‐Centred Learning Analytics design, particularly in the K‐12 educational context.

   What this paper adds

   Leveraging a longstanding, yet fluid, research‐practice partnership is an effective design‐based research adaptation for addressing the high variation in instructional practices that characterize K‐12 education.

   Using both quantitative and qualitative data that reflects students' developing knowledge effectively supports teachers' inquiry into student learning.

   Teachers' use of learning analytics dashboards is heavily influenced by their perspectives on teaching and learning.

   Implications for practice and/or policy

   Impact on student learning outcomes, alongside usability and feasibility, should be included as a necessary metric for the effectiveness of LA design.

   LA dashboard developers should both leverage learning data that reflect students' developing knowledge and position teachers to take responsive pedagogical action to support student learning.

   LA researchers and developers should utilize a long‐term, yet fluid, research‐practice partnership to form a multi‐stakeholder, multidisciplinary design team for Human‐Centred Learning Analytics design.

    

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4. Analyzing K-12 Education as a Complex System

   Llewellyn, D. C. ( July 2013 , ASEE annual conference & exposition)

   Schools and school districts are complex, dynamic systems affected by numerous factors, specific to the particular environment. These factors, which range from the stability of the home life of the enrolled children, to the interpersonal relationships of the school staff, to the funding decisions of the school board, to the laws passed by the U.S. Congress (and innumerable additional factors in between), all interact in sometimes predictable but often completely surprising ways. Educational initiatives and interventions that work well in one environment can prove completely ineffective (or un-implementable) in a different school setting, for a myriad of reasons. For university faculty and STEM professionals who partner with K-12 schools to implement and assess STEM educational reform initiatives, particularly for those who choose to work or scale up projects in non-charter or non-specialized lab school settings, the complexity of the system of K-12 education makes it difficult to identify all the potential barriers that can impact the proposed project. Unexpected factors can easily derail an otherwise well thought-out project, both in terms of project implementation and also in the success of assessing student outcomes. Educational researchers have long studied school reform and the issues of what facilitates and hinders success in curricular and other interventions. Experts in educational policy and public policy also have studied the interaction of policies and practices of reform agendas within social and organizational contexts. Industrial engineering, which had its origins in studying manufacturing systems, is a field where researchers have made great contributions towards understanding complex systems including transportation systems, financial systems, health care, and even recently humanitarian support systems. The Advanced Manufacturing and Prototyping Integrated to Unlock Potential (AMP-IT-UP) NSF Math/Science Partnership at the Georgia Institute of Technology is creating an innovative framework, which is both conceptual and theoretical and rooted within the field of industrial and systems engineering, to examine barriers and enablers to school change and reform. The framework describes the system in terms of both agents and the attributes of those agents and will become the foundation for identifying a subset of attribute combinations that allow for successful change in the system. In this paper we describe the first step in creating this framework, namely identifying the agents within K-12 education and the attributes of these agents that are critical to educational change. The paper also presents a sample scale for describing these attributes. 

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5. Inclusive, asset-based instructional strategies in engineering design: empowering faculty with professional development

   Budinoff, Hannah D. ; Subbian, Vignesh ; Shivers-McNair, Ann ; López, Francesca A. ( January 2023 , Proceedings of the American Society for Engineering Education Annual Conference & Exposition)

   To better support engineering students and to create an inclusive and welcoming educational context, it is necessary to reimagine instructional methods and approaches. In contrast to deficit educational models that focus on perceptions of what students lack, asset-based practices focus on how students’ lived experiences can be used to enrich and strengthen their educational experiences. There is a need to support faculty in adopting existing techniques or developing new techniques in undergraduate courses, as most existing literature related to asset-based practices is focused on K-12 settings. Engineering design courses provide an ideal context for asset-based practices because the design process requires a diverse set of knowledge, experiences, and skills. Guided by self-determination theory, an understanding of implicit bias and stereotype threat, and the large existing body of research on asset-based pedagogy, we seek to support engineering student outcomes by empowering faculty with tools and strategies to incorporate asset-based practices in their courses. We are engaged in a three-year project focused on assessing the impact of asset-based practices in engineering design courses a large, public, land-grant, Hispanic-serving institution in the southwestern United States, funded by the NSF IUSE:EDU program. Here, we will summarize the design and results from our professional development for faculty, including theoretical frameworks and evidence guiding our work. We share content from our professional development, summarizing learning objectives, presentation content, and activities. Additionally, we present comments shared by instructors related to our professional development, including common barriers to implementing educational innovations in their courses. Our work will provide insights to practitioners interested in promoting inclusive classroom practices in engineering education and researchers who are translating research to practice, especially through professional development. 

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