Professional learning for using data: Examining teacher needs & supports

Teachers College Record

Volumn 117, Issue 4, 2015, Pages 1-36

  Jimerson, Jo Beth ^a   Wayman, Jefrey C ^b  

^a TEXAS CHRISTIAN UNIVERSITY   (United States)

^b Wayman Services LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84928748631     PISSN: 01614681     EISSN: 14679620     Source Type: Journal    
DOI: None     Document Type: Article

References (54)

1. Anderson, S., Leithwood, K., & Strauss, T. (2010). Leading data use in schools: Organizational conditions and practices at the school and district levels. Leadership and Policy in Schools, 9(3), 292-327. doi:10.1080/15700761003731492/
2. Argyris, C., & Schön, D.A. (1996). Organizational learning II: Theory, method, and Practice. New York, NY: Addison-Wesley.
3. Bailey, D. E., & Barley, S. R. (2011). Teaching-learning ecologies: Mapping the environment to structure through action. Organization Science, 22(1), 262-285.
4. Borko, H. (2004). Professional development and teacher learning: Mapping the terrain. Educational Researcher 33(8), 3-15.
5. Brown, J. S., & Duguid, P. (1991). Organizational learning and communities-of-practice: Toward a unified view of working, learning, and innovation. Organization Science, 2(1), 40-57.
6. Cho, V., & Wayman, J. C. (2014). Districts' efforts for data use and computer data systems: The role of sensemaking in system use and implementation. Teachers College Record.
7. Coburn, C. E., & Turner, E. O. (2012). The practice of data use: An introduction. American Journal of Education, 118(2), 99-111.
8. Datnow, A., Park, V., & Wohlstetter, P. (2007). Achieving with data: How high-performing school systems use data to improve instruction for elementary students. Los Angeles: University of Southern California, Rossier School of Education, Center on Educational Governance.
9. Desimone, L. M., Porter, A. C., Garet, M. S., Yoon, K. S., & Birman, B. F. (2002). Effects of professional development on teachers' instruction: Results from a three-year longitudinal study. Educational Evaluation and Policy Analysis, 24(2), 81-112.
10. Earl, L., & Fullan, M. (2003). Using data in leadership for learning. Cambridge Journal of Education, 33(3), 383-394.
11. Earl, L., & Katz, S. (2006). Leading schools in a data-rich world. Harnessing data for school improvement. Thousand Oaks, CA: Corwin Press.
12. Gallucci, C. (2008). Districtwide instructional reform: Using sociocultural theory to link professional learning to organizational support. American Journal of Education, 114, 541-581.
13. Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001). What makes professional development effective? Results from a national sample of teachers. American Educational Research Journal, 38(4), 915-945.
14. Goertz, M. E., Olah, L. N., & Riggan, M. (2010). From testing to teaching: The use of interim assessments in classroom instruction. Philadelphia, PA: Consortium for Policy Research in Education.
15. Guskey, T. R., & Yoon, K. S. (2009). What works in professional development? Phi Delta Kappan, 90(7), 495-500.
16. Hamilton, L., Halverson, R., Jackson, S. S., Mandinach, E., Supovitz, J. A., & Wayman, J. C. (2009). Using student achievement data to support instructional decision making. Washington, DC: Institute of Education Sciences and the National Center for Education Evaluation.
17. Honig, M. I., & Venkateswaran, N. (2012). School-central office relationships in evidence use: Understanding evidence use as a systems problem. American Journal of Education, 118(2), 143-166.
18. Ikemoto, G. S., & Marsh, J. A. (2007). Cutting through the "data-driven" mantra: Different conceptions of data-driven decision making. In P. A. Moss (Ed.), Evidence and decision making (pp. 74-104). Malden, MA: Blackwell.
19. Ingvarson, L., Meiers, M., & Beavis, A. (2005). Factors affecting the impact of professional development programs on teachers' knowledge, practice, student outcomes & efficacy. Education Policy Analysis Archives, 13(10), 1-28.
20. Kerr, K. I., Marsh, J. A., Ikemoto, G. S., Darilek, H., & Barney, H. (2006). Strategies to promote data use for instructional improvement: Actions, outcomes, and lessons from three urban districts. American Journal of Education, 112, 496-520.
21. Lachat, M. A., & Smith, S. (2005). Practices that support data use in urban high schools. Journal of Education for Students Placed at Risk, 10(3), 333-349.
22. Lehrer, J. (2012). Imagine: How creativity works. New York, NY: Houghton Mifflin.
23. Little, J. W. (2012). Understanding data use practice among teachers: The contribution of micro-process studies. American Journal of Education, 118(2), 143-166.
24. Louis, K. S., Leithwood, K., Wahlstrom, K., Anderson, S., Michlin, M., Mascall, B., . . . Moore, S. (2010). Learning from leadership: Investigating the links to improved student learning. Final Report to the Wallace Foundation. New York, NY: The Wallace Foundation.
25. Mandinach, E. B. (2012). A perfect time for data use: Using data-driven decision making to inform practice. Educational Psychologist, 47(2), 71-85.
26. Mandinach, E. B., & Gummer, E. S. (2013). A systemic view of implementing data literacy in educator preparation. Educational Researcher, 42(1), 30-37.
27. Mandinach, E., Honey, M., Light, D., & Brunner, C. (2008). A conceptual framework for data-driven decision-making. In E. B. Mandinach & M. Honey (Eds.), Data-driven school improvement: Linking data and learning (pp. 13-31). New York, NY: Teachers College Press.
28. Mandinach, E. B., & Jackson, S. S. (2012). Transforming teaching and learning through data-driven decision making. Thousand Oaks, CA: SAGE.
29. Marsh, J. A. (2012). Interventions promoting educators' use of data: Research insights and gaps. Teachers College Record, 114, 1-48.
30. Marsh, J. A., McCombs, J. S., & Martorell, F. (2010). How instructional coaches support datadriven decision making: Policy implementation and effects in Florida middle schools. Educational Policy, 24(6), 872-907.
31. Means, B., Chen, E., DeBarger, A., & Padilla, C. (2011). Teachers' ability to use data to inform instruction. Washington, DC: U.S. Department of Education Office of Planning, Evaluation, and Policy Development.
32. Means, B., Padilla, C., & Gallagher, L. (2010). Use of education data at the local level: From accountability to instructional improvement. Washington, DC: U.S. Department of Education Office of Planning, Evaluation, and Policy Development. Retrieved from http://www2.ed.gov/rschstat/eval/tech/use-of-education-data/use-of-education-data.pdf
33. Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. San Francisco, CA: Jossey-Bass.
34. Moynihan, M. C. (2012, July 30). Jonah Lehrer's deceptions. Tablet. Retrieved from http://www.tabletmag.com/jewish-news-and-politics/107779/jonah-lehrers-deceptions
35. Park, V., & Datnow, A. (2009). Co-constructing distributed leadership: District and school connections in data-driven decision-making. School Leadership and Management, 29(5), 477-494.
36. Penuel, W. R., Fishman, B. J., Yamaguchi, R., & Gallagher, L. P. (2007). What makes professional development effective? Strategies that foster curriculum implementation. American Educational Research Journal, 44(4), 921-958.
37. Schildkamp, K., & Kuiper, W. (2010). Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. Teaching and Teacher Education, 26, 482-496.
38. Senge, P. M. (2006). The Fifth Discipline: The art and practice of the learning organization. New York, NY: Currency Doubleday.
39. Spillane, J. P. (2012). Data in practice: Conceptualizing the data-based decision-making phenomena. American Journal of Education, 118(2), 113-141.
40. Supovitz, J. (2010). Knowledge-based organizational learning for instructional improvement. In A. Hargreaves, A. Lieberman, M. Fullan, & D. Hopkins (Eds.), Second international handbook of educational change (pp. 707-723). New York, NY: Springer.
41. Supovitz, J. A., & Klein, V. (2003). Mapping a course for improved student learning: How innovative schools systematically use student performance data to guide improvement. Philadelphia: Consortium for Policy Research in Education, University of Pennsylvania.
42. Valli, L., & Buese, D. (2007). The changing roles of teachers in an era of high-stakes accountability. American Educational Research Journal, 44(3), 519-558.
43. Wayman, J. C., & Cho, V. (2009). Preparing educators to effectively use student data systems. In T. J. Kowalski & T. J. Lasley (Eds.), Handbook on data-based decision-making in education (pp. 89-104). New York, NY: Routledge.
44. Wayman, J. C., Cho, V., Jimerson, J. B., & Spikes, D. (2012). District-wide effects on data use in the classroom. Education Policy Analysis Archives, 20(25). Retrieved from http://epaa.asu.edu/ojs/article/view/979
45. Wayman, J. C., Cho, V., & Johnston, M. T. (2007). The data-informed district: A district-wide evaluation of data use in the Natrona County school district. University of Texas, Austin.
46. Wayman, J. C., Cho, V., & Richards, M. R. (2010). Student data systems and their use for educational improvement. In B. McGaw, P. Peterson, & E. Baker (Eds.), The international encyclopedia of education (Vol. 8, pp. 14-20). London, England: Elsevier.
47. Wayman, J. C., & Jimerson, J. B. (2014). Teacher needs for data-related professional learning. Studies in Educational Evaluation. doi:10.1016/j.stueduc.2013.11.001
48. Wayman, J. C., Jimerson, J. B., & Cho, V. (2012). Organizational considerations in establishing the data-informed district. School Effectiveness and School Improvement, 23(2), 159-178.
49. Wayman, J. C., Midgley, S., & Stringfield, S. (2006, April). Leadership for data-based decision making: Collaborative educator teams. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
50. Wayman, J. C., Snodgrass Rangel, V. W., Jimerson, J. B., & Cho, V. (2010). Improving data use in Gibson School District: Becoming a data-informed district. University of Texas, Austin.
51. Wayman, J. C., & Stringfield, S. (2006). Technology-supported involvement of entire faculties in examination of student data for instructional improvement. American Journal of Education, 112, 549-571.
52. Wei, R. C., Darling-Hammond, L., Andree, A., Richardson, N., & Orphanos, S. (2009). Professional learning in the learning profession: A status report on teacher development in the United States and abroad. Dallas, TX: National Staff Development Council.
53. Yates, S. M. (2007). Teachers' perceptions of their professional learning activities. International Education Journal, 8(2), 213-221.
54. Young, V. M. (2006) Teachers' use of data: Loose coupling, agenda setting, and team norms. American Journal of Education, 112, 521-548.