Advancing Data Use Practices through Self-Study at HBCU Teacher Preparation Program
- Articles
- Submited: March 24, 2022
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Published: March 24, 2022
Abstract
Data-driven decision making is essential for effective management, especially in higher education. This study investigated the current data use practices in a teacher education program through a self-study. Results from the self-study were used to plan and implement activities that may contribute to changes in data use practices. The participants of this study consisted of teacher education faculty, administrators, K-12 teacher mentors, principals, and a district office representative (N=23), working with teacher candidates in schools in southern United States. Interviews, document review, and observations were the major sources of data in this self-study. In Phase I, the results of theself-study revealed that data use practices and sharing were not clearly coordinated and there was no clearly defined policies that guide data use practices among faculty members. Action implemented introduced a monthly meeting that included Teacher Education (TE) faculty in the conversation. In Phase II,follow up data was collected to evaluate the extent to which these changes had been made and sustained over a one-year period. Results revealed organizational policy and practice actions leading to implementation and maintenance of those actions.
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References
Billett, S. (2006a). Work, change, and workers, Dordecht, The Netherlands: Springer Press.
Bogdan, R.,& Biklen, 2007). Qualitative research for education an introduction to theories and Methods. Massachusetts: Ally & Bacon.
Creswell, J. (2009). Research design. Thousand Oaks, CA: Sage Publications.
Marsh, J. A., Pane, J.F., & Hamilton, L.S. (2006). Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research. Santa Monica, CA: RAND Corporation, https://www.rand.org/pubs/occasional_papers/OP170.html.
McDiarmid, G. W., & Peck, C. (2007, March). Theories of action and program renewal in teacher education. Paper presented at the Annual Meeting of the Northwest Association for Teacher Educators. Seattle, WA.
Merriam, S.B. (2009). Qualitative research and case study application in education. San Francisco: Jossey-Bass.
Peck, C. A., Gallucci, C., & Sloan, T. (2010). Negotiating implementation of high-stakes performance assessment policies in teacher education: From compliance to inquiry Journal of Teacher Education, 61(5), 451-463.
Peck, C. A., McDonald, M., & Davis, S. (2015). Using data for program improvement in teacher education: A study of promising practices. Washington, DC: American Association of Colleges of Teacher Education. Retrieved from https://secure.aacte.org/apps/rl/resource.php
Pella, S. (2012). What should count as data for data-driven instructions? Towards contextualized data-inquiry models for teacher education and professional data. Middle Grade Research Journal. 7, (1), 57-75.
Young, J., Hall, C., & Clark, T. (2007). Challenges to university autonomy in initial teacher education programs: The cases of England, Manitoba, and British Columbia. Teacher and Teacher Education, 23, 8-93.
