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Candice Bocala is a lecturer on education at HGSE. Her research focuses on the connections between educator learning and organizational conditions that support collaborative work. As a member of the Data Wise Project at HGSE, she co-chairs multiple Data Wise Institutes and is currently the director of Data Wise Research. In this role, she studies how schools and districts use data and continuous improvement to build equitable schools, and she integrates that knowledge into the design of practitioner-friendly tools and resources. She is the former faculty director of the Reimagining Integration: Diverse and Equitable Schools (RIDES) Project at HGSE. RIDES prepared leaders to help schools and districts foster strong academics and a sense of belonging for all students, a commitment to dismantling racism, and an appreciation of diversity. Additionally, she is a co-author of The Internal Coherence Framework: Supporting the Conditions for Continuous Improvement in Schools (Harvard Education Press, 2017), which introduces a set of clinical tools for school educators to coherently align resources and professional learning with their instructional vision.
Bocala began her career as an elementary school teacher in Washington, D.C. She was also a senior research associate at WestEd, where she served as a researcher and technical assistance provider for federally funded national centers such as the Regional Educational Laboratory, Northeast and Islands (REL-NEI). As a program evaluator, she has led numerous formative and developmental evaluation projects that used a collaborative, participatory approach.
Bocala received her Ed.D. from the Harvard Graduate School of Education, and she holds an M.A.T. in elementary education from American University, an M.A. in policy analysis and evaluation from Stanford University, and a B.A. in government from Cornell University.
The purpose of this IES Initial Efficacy Education Research Grant proposal is to evaluate the efficacy of the Data Wise Improvement Process for changing teacher practice and improving student outcomes. The Data Wise Improvement Process is a fully developed, widely used data-driven continuous improvement process designed to sustain deep changes to instructional practice in support of equitable outcomes for all students. Since its inception in 2006, over two thousand educators have attended Data Wise professional development offerings, such as its intensive five-day leadership institute or its eight-month virtual support program. Through this five-year evaluation project, SRI will answer the following questions: What supports and barriers affect teaching teams in using the Data Wise Improvement Process? How do the collaborative data use practices of grade 5 math teams engaged in Data Wise training and differ from teams not engaged in this training? Does Data Wise impact grade 5 teachers mathematics instructional practice? Does Data Wise impact grade 5 students mathematics achievement? Do teaching teams continue to use Data Wise after one year of training and two years of formal support has ended and, if so, how? Do students who experience one year of Data Wise mathematics instruction in grade 5 show continued benefits after moving to a new school that has not yet worked with Data Wise?