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Conference Session
Community Engagement Division Poster Session - Exploring the Transformative Power of Service, Engagement, and Research
Collection
2023 ASEE Annual Conference & Exposition
Authors
Kerry Meyers, University of Notre Dame; Danielle Wood, University of Notre Dame; Faisal Aqlan, University of Louisville; Daniel Lapsley, University of Notre Dame
Tagged Topics
Diversity
Tagged Divisions
Community Engagement Division (COMMENG)
as a professor oradvisor, doing activities and projects were influential in helping engineering students in majorselection [14]. Furthermore, professional development programs, such as internships, have beenshown as an effective approach to promote students’ awareness and intentions towards futurecareers [15]. Several of the elements of the internship – mentoring, research, and community-based projects – have shown to be predictors of continuing in STEM after graduation [16].MethodologyResearchers at the UNIVERSITY pilot site began with collection protocols from the originalpilot [10, 17, 18]; they modified them as needed in collaboration with UNIVERSITIES. Using adigital platform (Qualtrics), researchers at UNIVERSITY also coordinated and
Conference Session
Community Engagement and Humanitarian Engineering: Creating Inclusive Engineers
Collection
2024 ASEE Annual Conference & Exposition
Authors
Kirsten Heikkinen Dodson, Lipscomb University; René Marie Rosalie Marius, Lipscomb University; Mark Sedek, Lipscomb University
Tagged Topics
Diversity
Tagged Divisions
Community Engagement Division (COMMENG)
toward more inclusive behavior? It’s also interesting to note theuntraditional nature of these two students, their identities, and their experiences. S34, though hadmultiple identities which are underrepresented in engineering, enacted behaviors towardinclusivity and overcoming bias. On the other hand, S17 who matches a traditionallyoverrepresented group in engineering experienced inclusive behaviors from others whichimproved his experience during and after the HEP. Clearly, the expected results as demonstratedby quantitative studies around engineering and DEI are not exhibited among these two students.Their experiences show that individuals are unique and complex and cannot be simplified tostatistical data which further emphasizes the need for