Editorial article for the special issue on data-based decision making around the world: From policy to practice to results

School Effectiveness and School Improvement

Volumn 23, Issue 2, 2012, Pages 123-131

  Schildkamp, Kim ^a   Ehren, Melanie ^a   Lai, Mei Kuin ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

accountability; data systems; data based decision making; district policies; leadership; professional learning communities; school improvement; strategic use

Indexed keywords

EID: 84859590154     PISSN: 09243453     EISSN: 17445124     Source Type: Journal    
DOI: 10.1080/09243453.2011.652122     Document Type: Editorial

References (21)

1. Campbell, C. and Levin, B. 2009. Using data to support educational improvement. Educational Assessment, Evaluation and Accountability, 21: 47-65.
2. Carlson, D., Borman, G. D. and Robinson, M. 2011. A multistate district-level cluster randomized trial of the impact of data-driven reform on reading and mathematics achievement. Educational Evaluation and Policy Analysis, 33: 378-398.
3. Cawelti, G. and Protheroe, N. 2001. High student achievement: How six school districts changed into high-performance systems, Arlington, VA: Educational Research Service.
4. Cousins, B. J. and Leithwood, K. A. 1993. Enhancing knowledge utilization as a strategy for school improvement. Knowledge: Creation, Diffusion, Utilization, 14: 305-333.
5. Davenport, T. H. and Prusak, L. 1998. Working knowledge. How organizations manage what they know, Boston, MA: Harvard Business School Press.
6. Earl, L. M. and Katz, S. 2006. Leading schools in a data-rich world. Harnessing data for school improvement, Thousand Oaks, CA: Corwin press.
7. Ikemoto, G. S. and Marsh, J. A. 2007. "Cutting through the data-driven mantra: Different conceptions of data-driven decision making". In Evidence and decision making, Edited by: Moss, P. A. 105-131. Malden, MA: Wiley-Blackwell.
8. Ingram, D., Louis, S. K. and Schroeder, R. G. 2004. Accountability policies and teacher decision making: Barriers to the use of data to improve practice. Teachers College Record, 106: 1258-1287.
9. Kerr, K. A., Marsh, J. A., Ikemoto, G. S., Darilek, H. and Barney, H. 2006. Strategies to promote data use for instructional improvements: Actions, outcomes, and lessons from three urban districts. American Journal of Education, 112: 496-520.
10. Lai, M. K., McNaughton, S., Amituanai-Toloa, M., Turner, R. and Hsiao, S. 2009. Sustained acceleration of achievement in reading comprehension: The New Zealand experience. Reading Research Quarterly, 44: 30-56.
11. Lai, M. K., McNaughton, S., Timperley, H. and Hsiao, S. 2009. Sustaining continued acceleration in reading comprehension achievement following an intervention. Educational Assessment, Evaluation and Accountability, 21: 81-100.
12. Robinson, V. and Lai, M. K. 2006. Practitioner research for educators: A guide to improving classrooms and schools, Thousand Oaks, CA: Corwin Press.
13. Schildkamp, K. and Kuiper, W. 2010. Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. Teaching and Teacher Education, 26: 482-496.
14. Schildkamp, K., Lai, M. K. and Earl, L. in press. Data-based decision making in education: Challenges and opportunities, Dordrecht, The Netherlands: Springer.
15. Schildkamp, K. and Teddlie, C. 2008. School performance feedback systems in the USA and in The Netherlands: A comparison. Educational Research and Evaluation, 14: 255-282.
16. Schildkamp, K. and Visscher, A. J. 2009. Factors influencing the utilisation of a school self-evaluation instrument. Studies in Educational Evaluation, 35: 150-159.
17. Timperley, H. and Parr, J. 2009. Chain of influence from policy to practice in the New Zealand literacy strategy. Research Papers in Education, 24: 135-154.
18. Timperley, H., Wilson, A., Barrar, H. and Fung, I. 2007. Best evidence synthesis iterations (BES) on professional learning and development, Wellington, New Zealand: Ministry of Education.
19. Visscher, A. J. 2002. "A framework for studying school performance feedback systems". In School improvement through performance feedback, Edited by: Visscher, A. J. and Coe, R. 41-72. Lisse, The Netherlands: Swets & Zeitlinger.
20. Wayman, J. C. 2005. Involving teachers in data-driven decision making: Using computer data systems to support teacher inquiry and reflection. Journal of Education for Students Placed at Risk, 10: 295-308.
21. Wohlstetter, P., Datnow, A. and Park, V. 2008. Creating a system for data-driven decision-making: Applying the principal-agent framework. School Effectiveness and School Improvement, 19: 239-259.