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We are developing a Situational Judgment Inventory (SJI) to reveal student strategies for navigating the undergraduate engineering learning environment. In this paper, we discuss the development of the SJI. As part of our development process, we identify nine categories that capture students' typical responses. Implementation of the SJI will a) allow students to become familiar with common scenarios they may encounter in engineering; and b) aid support practitioners, such as instructors and advisors, and administrators, such as associate deans and department heads, in better understanding common student navigation strategies for navigating their respective learning environment.more » « lessFree, publicly-accessible full text available October 18, 2024
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We are interested in understanding the complexities associated with student navigation of engineering. As part of a study associated with a larger project, we interviewed five upper division, undergraduate women of color in engineering during the Fall 2022 semester. In this paper, we present preliminary results from one participant, Nadia, and discuss the codebook development process. Insights from this paper can inform practice and research. Notably, it can help develop more responsive support structures in engineering for students from marginalized groups, specifically WOC. Furthermore, insight about codebook development can help inform qualitative research practices in engineering education.more » « lessFree, publicly-accessible full text available October 18, 2024
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The purpose of this paper is to divulge the complexities embedded within our research team’s process of designing a qualitative study focused on understanding marginalized students’ experiences in engineering. In this paper, we establish a foundation for fruitful qualitative research, grounded in research quality, ethics, and equity. We discuss how the criteria from these foundational considerations can drive decision making for the various components of a research design. In particular, we focus on decision making around purpose, theory, sampling, and instrumentation. In doing so, we shed light on how each element might be intentionally constructed to a) generate insights on how to disrupt the oppressive environment of engineering education, b) protect vulnerable populations, and c) center participants’ voices. In writing this paper, our goal is to provide a transparent account of decisions that can go into designing a qualitative study and implementing a research grant proposal, keeping in mind how our power and privilege influence every decision in the research process.more » « less
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Abstract Background It is well known that earning a bachelor's degree in engineering is a demanding task, but ripe with opportunity. For students from historically excluded demographic groups, this task is exacerbated by oppressive circumstances. Although considerable research has documented how student outcomes differ across demographic groups, much less is known about the dynamic processes that marginalize some students.
Purpose The purpose of this article is to propose a conceptual model of student navigation in the context of undergraduate engineering programs. Our goal is to illustrate how localized, structural features unjustly shape the demands and opportunities encountered by students and influence how they respond.
Scope/Method We developed our model using an iterative, four‐stage process. This process included (1)
clarifying the purpose of the development process; (2)identifying concepts and insights from prior research; (3)synthesizing the concepts and insights into propositions; and (4)visualizing the suspected relationships between the salient constructs in the propositions.Results Our model focuses on the dynamic interactions between the characteristics of students, the embedded contexts in which they are situated, and the support infrastructure of their learning environment.
Conclusion The resulting model illustrates the influence of structural features on how students a) respond to demands and opportunities and b) navigate obstacles present in the learning environment. Although its focus is on marginalized students in undergraduate engineering programs, the model may be applicable to STEM higher education more broadly.
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Objective: Transfer student capital (TSC) helps community college students realize the potential for the transfer pathway to serve as a lower-cost option to a bachelor’s degree. However, students’ accrual of TSC depends on the quality and quantity of information networks and infrastructure; information asymmetry in these networks can impede students’ transfer progress. Methods: Using interview data from stakeholders who support engineering transfer students at one research university and two community college partners, we apply a methodology that combines qualitative coding techniques (i.e., descriptive, process, and evaluative coding) with network and pathway analyses to explore an information network for coursework transfer in engineering. Results: Our findings illustrate the disjointed and complex web of information sources that transfer students may use to accrue TSC. We highlight pathways fraught with information asymmetry as well as information sources and processes that give promise to students’ ability to accrue TSC and successfully navigate transfer of coursework vertically. Conclusions: An abundance of information sources and paths does not equate to a better transfer system. Utilizing network analysis to visualize and evaluate information sources and processes provides an additional method for evaluating information systems for transfer. Consolidating information sources or improving processes linking information sources could improve inefficiencies in transfer students’ transitions.
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Abstract Background Engineering education scholars (EES) seek to advance innovation, excellence, and access within education systems and the engineering profession. To advance such efforts, the intentional and strategic actions taken by scholars must be better understood.
Purpose/Hypothesis This study aimed to advance the field's understanding of agency toward impact by (1) closely examining the experiences of early career EES pursuing impact in engineering education and (2) co‐constructing a contextualized theory of agency. We define agency as taking strategic actions or perspectives toward professional goals that matter to oneself and goals that relate to impacting engineering education.
Design/Method Building on previous work about faculty agency, we leveraged approaches from grounded theory and integrated multiple qualitative approaches to analyze our experiences as six early career EES over the course of a 4‐year longitudinal study.
Results Seven key insights about the professional agency toward impact in engineering education of early career EES emerged from the analysis. The contextualized theory and resulting visual representation illustrate this agency as a cyclical process with three components: (1) the factors influencing one's agency, (2) the agentic process itself, and (3) the output of the agentic process.
Conclusions Our co‐constructed contextualized theory extends previous work by incorporating the temporal nature of agency, the generation and assessment of available moves, and the importance of feedback on future agentic practices. Our results have implications on how the engineering education community supports graduate students, early career scholars, and new members in their efforts to impact change.
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This work-in-progress research paper stems from a larger project where we are developing and gathering validity evidence for an instrument to measure undergraduate students' perceptions of support in science, technology, engineering, and mathematics (STEM). The refinement of our instrument functions to extend, operationalize, and empirically test the model of co-curricular support (MCCS). The MCCS is a conceptual framework of student support that explains how a student's interactions with the professional, academic and social systems within a college could influence their success more broadly in an undergraduate STEM degree program. Our goal is to create an instrument that functions diagnostically to help colleges effectively allocate resources for the various financial, physical, and human capital support provided to undergraduate students in STEM. While testing the validity of our newly developed instrument, an analysis of the data revealed differences in perceived support among College of Engineering (COE) and College of Science (COS) students. In this work-in-progress paper, we examine these differences at one institution using descriptive statistics and Welch's t-tests to identify trends and patterns of support among different student groups.more » « less
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