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  1. 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)clarifyingthe purpose of the development process; (2)identifyingconcepts and insights from prior research; (3)synthesizingthe concepts and insights into propositions; and (4)visualizingthe 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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  2. 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. 
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