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Creators/Authors contains: "Wood, Danielle"

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  1. ; ; ; (, American Society For Engineering Education)
    Free, publicly-accessible full text available July 1, 2026
  2. ; ; ; ; ; (, American Society For Engineering Education)
    Free, publicly-accessible full text available July 1, 2026
  3. ; ; (, 2024 ASEE Annual Conference & Exposition)
    Participation in community-based projects provides students with invaluable benefits, including gaining practical experience and developing a sense of connection and belonging within the community. Nevertheless, the projects to which students are assigned can significantly influence their overall experience in this form of learning. Rather than relying on an approach that randomly assigns students to projects and often results in a mismatch between student preference and assigned project, we propose an optimization model to allocate community-based projects to students. The students provided a ranking of their project preference and 89 percent of all students received either their first or second choices. The optimization modeling approach not only streamlines the student-to-project allocation process for project coordinators but also ensures a consistent consideration of all relevant variables. 
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  4. ; ; (, ASEE Conferences)
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  5. ; ; ; (, Acta Astronautica)
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  6. ; ; ; ; (, 2024 ASEE Annual Conference & Exposition)
    In the second year of a replication in two new cities, this paper examines two years of data on the Community-Engaged Educational Ecosystem model (C-EEEM) in three regions in different Midwestern states. Cities in the deindustrialized Midwest often have higher percentages of those underrepresented in STEM, including low socio-economic status (LSES) and underrepresented minorities (URM); this makes it difficult for them to develop and retain STEM skills in the workforce, critical to rebuilding their communities in the Digital Age. 
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    Accepted Manuscript Full Text Available
  7. ; ; ; ; (, ASEE Conference Proceedings)
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