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Darby, Alexa; Willingham, Lauren – Journal of Experiential Education, 2022
Background: Research has established that service-learning is a high-impact practice with significant consequences for student learning. Research in this area can provide greater understanding and recognition of the value faculty bring to the service-learning experience. Purpose: Examining faculty members' memorable experiences in service-learning…
Descriptors: Service Learning, Teacher Motivation, Expectation, College Faculty
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Willingham, Lauren; Darby, Alexa – College Teaching, 2023
The purpose of this study is to understand similarities and differences between faculty and community partners' teachable moments with college students in service-learning. Twenty-two faculty and 20 community partners reported on four main themes. Similarities included students understanding differences between themselves and the people they…
Descriptors: College Faculty, Partnerships in Education, School Community Programs, Service Learning
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Darby, Alexa; Knight-McKenna, Mary – Journal on Excellence in College Teaching, 2016
Success in academic service-learning (AS-L) comes in large measure from the work of faculty dedicated to this pedagogy. The purpose of this study was to examine how faculty who have taught nine or more sections of AS-L courses sustain their motivation despite the pedagogy's inherent challenges. Individual interviews were conducted with 10 faculty…
Descriptors: Teacher Motivation, College Faculty, Private Colleges, Service Learning
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Noyes, Elise; Darby, Alexa; Leupold, Christopher – Journal of Higher Education Outreach and Engagement, 2015
Research has demonstrated the importance of emotions in learning, and academic service-learning (AS-L) has become an increasingly popular pedagogy. However, few studies have investigated emotional experiences specific to AS-L. The purpose of this mixed-methods study was to examine students' emotions related to their AS-L class. Results from the…
Descriptors: Service Learning, Teaching Methods, Emotional Experience, Statistical Analysis