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Department of Educational Administration: Faculty Publications

Community colleges

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Full-Text Articles in Education

Chicanas In Ir: Data-Driven Advocacy For Latinx Students From Institutional Research Contexts In The Community College, Elvira Abrica, Martha Rivas Jan 2017

Chicanas In Ir: Data-Driven Advocacy For Latinx Students From Institutional Research Contexts In The Community College, Elvira Abrica, Martha Rivas

Department of Educational Administration: Faculty Publications

Various inequities and challenges facing Latinx students in community colleges continue to be documented. Yet, less documented are the challenges associated with advocacy efforts to support Latinx and other underrepresented Students of Color within the community college sector. There is not often pause to consider: who advocates for Latinx students? When and how does this advocacy take shape? In this article, we offer Chicana testimonios as institutional research (IR) professionals to highlight ways we experience, respond to, and challenge institutionalized racism and systemic obstacles to advocate for Latinx students in the California community college system. We situate our testimonios within …


Observing Classroom Engagement In Community College: A Systematic Approach, Stacy Alicea, Carola Suárez-Orozco, Sukhmani Singh, Tasha Darbes, Elvira Abrica Jan 2016

Observing Classroom Engagement In Community College: A Systematic Approach, Stacy Alicea, Carola Suárez-Orozco, Sukhmani Singh, Tasha Darbes, Elvira Abrica

Department of Educational Administration: Faculty Publications

Despite decades of research indicating classrooms shape student engagement, learning, and development, there is a dearth of empirically grounded research focusing specifically on observed classroom engagement as a predictor of student outcomes in community colleges. This article describes the development of a qualitatively grounded, quantitative classroom-level engagement measurement protocol designed for this purpose. We provide evidence for the measure’s validity and reliability via confirmatory factor analyses and descriptive analyses that offer a snapshot of the information this measure can generate. Furthermore, we examine a two-level structural equation regression model that uses student survey data from students nested in observed classrooms. …