A Perfect Time for Data Use: Using Data-Driven Decision Making to Inform Practice

Educational Psychologist

Volumn 47, Issue 2, 2012, Pages 71-85

  Mandinach, Ellen B ^a  

^a WestEd   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84860126050     PISSN: 00461520     EISSN: None     Source Type: Journal    
DOI: 10.1080/00461520.2012.667064     Document Type: Article

References (91)

1. Abbott, D. V. 2008. "A functionality framework for educational organizations: Achieving accountability at scale". In Data-driven school improvement: Linking data and learning, Edited by: Mandinach, E. B. and Honey, M. 257-276. New York, NY: Teachers College Press.
2. American Educational Research Association. 2003. Resolution on the essential elements of scientifically-based research, Washington, DC: Author. Retrieved fromhttp://www.aera.net/meeting/council/resolution03.htm
3. American Recovery and Reinvestment Act of. 2009.: 111-5. Pub. L. No.Retrieved fromhttp://www.gpo.gov/fdsys/pkg/PLAW-111publ5/content-detail.html
4. Argyris, C. and Schoen, D. A. 1978. Organizational learning: A theory of action perspective, Reading, MA: Addison Wesley.
5. Armstrong, J. and Anthes, K. 2001. How data can help: Putting information to work to raise student achievement. American School Board Journal, 188(11): 38-41.
6. Berliner, D. C. 2006. Our impoverished view of educational reform. Teachers College Record, 108: 949-995.
7. Berliner, D. C. 2009. Poverty and potential: Out-of-school factors and school success, Boulder, CO and Tempe, AZ: Education and the Public Interest Center & Education Policy Research Unit. Retrieved fromhttp://nepc.colorado.edu/publication/poverty-and-potential
8. Blue Ribbon Panel. 2010. Transforming teacher education through clinical practice: A national strategy to prepare effective teachers, Washington, DC: NCATE.
9. Boudett, K. P., City, E. and Murnane, R. 2005. Data wise: A step-by-step guide to using assessment results to improve teaching and learning, Cambridge, MA: Harvard Education Press.
10. Choppin, J. 2002, April. Data use in practice: Examples from the school level New Orleans, LA Paper presented at the meeting of the American Educational Research Association
11. Data Quality Campaign. 2010. DQC 2009-2010 annual survey results: Action 9 Retreived from http://www.dataqualitycampaign.org/survey/compare/actions
12. Data Quality Campaign. 2011. Data for action 2010: Action 9 Retrieved fromhttp://www.dataqualitycampaign.org/stateanalysis/actions/
13. Data Quality Campaign. 2012. State analysis by action: Promote educator professional development and credentialing Retrieved fromhttp://dataqualitycampaign.org/stateanalysis/actions/9/
14. Datnow, A., Park, V. and 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, Center on Educational Governance.
15. Desimone, L. M. 2009. Improving impact studies of teachers' professional development: Toward better conceptualizations and measures. Educational Researcher, 38: 181-199.
16. Desimone, L., Porter, A. C., Garet, M., Yoon, K. S. and Birman, B. 2002. Effects of professional development on teachers' instruction: Results from a three-year study. Educational Evaluation and Policy Analysis, 24: 81-112.
17. Dillon, S. 2010, February 11. "Wi-Fi turns rowdy bus into rolling study hall". In The New York Times Retrieved fromhttp://www.nytimes.com/
18. Duncan, A. 2009a, March. Federal leadership to support state longitudinal data systems, Washington, DC: Comments made at the Data Quality Campaign Conference, Leveraging the Power of Data to Improve Education.
19. Duncan, A. 2009b, June. Secretary Arne Duncan addresses the Fourth Annual IES Research Conference Washington, DC Speech made at the Fourth Annual IES Research ConferenceRetrieved fromhttp://www.ed.gov/news/speeches/2009/06/06-82009.html
20. Duncan, A. 2009c, May. Testimony before the House Education and Labor Committee Retrieved fromhttp://www.ed.gov/print/news/speeches/2009/05/05202009.html
21. Duncan, A. 2010a, July. Keynote address Bethesda, MD Keynote address at the Educate with Data: Stats-DC 2010 Conference
22. Duncan, A. 2010b, November. Secretary Arne Duncan's remarks to National Council for Accreditation of Teacher Education Retrieved fromhttp://www.ed.gov/news/speeches/secretary-arne-duncans-remarks-national-council-accreditation-teacher-education
23. Duncan, A. 2012, January. Leading education into the information age: Improving student outcomes with data, Washington, DC: Roundtable discussion at the Data Quality Campaign National Data Summit.
24. Easton, J. Q. 2009, July. Using data systems to drive school improvement Bethesda, MD Keynote address at the STATS-DC 2009 Conference
25. Feldman, J. and Tung, R. 2001. Using data-based inquiry and decision making to improve instruction. ERS Spectrum, 19: 10-19.
26. Gage, N. L. 1978. The scientific basis of the art of teaching, New York, NY: Teachers College Press.
27. Halverson, R., Pritchett, R. B. and Watson, J. G. 2007. Formative feedback systems and the new instructional leadership, Madison: University of Wisconsin.
28. Hamilton, L., Halverson, R., Jackson, S., Mandinach, E., Supovitz, J. and Wayman, J. 2009. Using student achievement data to support instructional decision making, Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education. (NCEE 2009-4067)Retrieved fromhttp://ies.ed.gov/ncee/wwc/publications/practice/guides/
29. Heritage, M. 2007, January. Formative assessment Anchorage, AK Paper presented at the EED Winter Conference: Informing Instruction, Improving Achievement
30. Heritage, M. 2010. Formative assessment and next-generation assessment systems: Are we losing an opportunity?, Washington, DC: Council of Chief State School Officers.
31. Heritage, H. M. and Niemi, D. 2006. Toward a framework for using student mathematical representations as formative assessments. Educational Assessment, 11: 265-282.
32. Herman, J. and Gribbons, B. 2001. Lessons learned in using data to support school inquiry and continuous improvement: Final report to the Stuart Foundation, Los Angeles: UCLA Center for the Study of Evaluation. (CSE Tech. Rep. No. 535)
33. Herman, J. L. and Haertel, E. H., eds. 2005. Uses and misuses of data for educational accountability and improvement: The 104th yearbook of the National Society for the Study of Education: Part II, Malden, MA: Blackwell.
34. Hochberg, E. D. and Desimone, L. M. 2010. Professional development in the accountability context: Building capacity to achieve standards. Educational Psychologist, 45: 89-106.
35. Hupert, N., Heinze, J., Gunn, G. and Stewart, J. 2008. "Using technology-assisted progress monitoring to drive improved student outcomes". In Data-driven school improvement: Linking data and learning, Edited by: Mandinach, E. B. and Honey, M. 130-150. New York, NY: Teachers College Press.
36. Ikemoto, G. S. and Marsh, J. A. 2007. "Cutting through the data decision mantra: Different conception of data-driven decision making". In Evidence and decision making, Edited by: Moss, P. A. 105-131. Malden, MA: Blackwell.
37. Ingram, D., Louis, K. S. 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.
38. Institute of Education Sciences. 2011. WWC procedures and standards handbook, Washington, DC: What Works Clearinghouse. Retrieved fromhttp://ies.ed.gov/ncee/wwc/references/idocviewer/doc.aspx?docid=19&tocid=1
39. Knapp, M. S., Copland, M. A. and Swinnerton, J. A. 2007. "Understanding the promise and dynamics of data-informed leadership". In Evidence and decision making: 106th yearbook of the National Society for the Study of Education: Part I, Edited by: Moss, P. A. 74-104. Malden, MA: Blackwell.
40. Kowalski, T. J. and Lasley, T. J. II., eds. 2009. Handbook of data-based decision making in education, New York, NY: Routledge.
41. Lachat, M. A. and Smith, S. 2005. Practices that support data use in urban high schools. Journal of Education for Students Placed at Risk, 10: 333-349.
42. Long, L., Rivas, L., Light, D. and Mandinach, E. B. 2008. "The evolution of a homegrown data warehouse: TUSDStats". In Data-driven school improvement: Linking data and learning, Edited by: Mandinach, E. B. and Honey, M. 209-232. New York, NY: Teachers College Press.
43. Louis, K. S., Febey, K. and Schroeder, R. 2005. State-mandated accountability in high schools: Teachers' interpretations of a new era. Educational Evaluation and Policy Analyses, 27: 177-204.
44. Love, N., Stiles, K. E., Mundry, S. and DiRanna, K. 2008. A data coach's guide to improving learning for all students: Unleashing the power of collaborative inquiry, Thousand Oaks, CA: Corwin.
45. Mandinach, E. B. 2009a, October. Data use: What we know about school-level use, Rockville, MD: Presentation at the Special Education Data Accountability Center Retreat.
46. Mandinach, E. B. 2009b, October. How LEAs use data to inform practice: The opportunities for and challenges to use in schools and districts Louisville, KY Presentation at the NEI Research and Evaluation that Inform Leadership for Results Conference
47. Mandinach, E. B. 2010a, May. On data-driven decision making Remarks made for the Doing What Works Website. Retrieved fromhttp://dww.ed.gov/learn/?T_ID=30&P_ID=82
48. Mandinach, E. B. 2010b, August. Using data-driven decision making to inform practice: From research to practice San Diego, CA Presidential speech for Division 15 at the annual meeting of the American Psychological Association
49. Mandinach, E. B. and Gummer, E. 2010. An examination of what schools of education are doing to improve human capacity regarding data, Washington, DC: WestEd and Education Northwest. (Proposal to the Spencer Foundation Data Initiative), Portland, OR
50. Mandinach, E. B. and Gummer, E. 2011a. The complexities of integrating data-driven decision making into course offerings at schools of education, Washington, DC: WestEd and Education Northwest. (White Paper prepared for the Spencer Foundation), Portland, OR
51. Mandinach, E. B. and Gummer, E. 2011b. Defining data literacy in educators: What is essential and what is missing, Washington, DC: WestEd and Education Northwest. (Proposal funded by the Bill & Melinda Gates Foundation), Portland, OR
52. Mandinach, E. B. and Gummer, E. 2012, May. Data literacy: What educators need to know, how it is defined, and the next steps to improving educators' capacity to use data San Francisco, CA Conference convened by WestEd and Education Northwest
53. Mandinach, E. B. and Honey, M., eds. 2008. Data-driven school improvement: Linking data and learning., New York, NY: Teachers College Press.
54. Mandinach, E. B., Honey, M., Light, D. and Brunner, C. 2008. A conceptual framework for data-driven decision making., Edited by: Mandinach, E. B. and Honey, M. 13-31. New York, NY: Teachers College Press. Data-driven school improvement: Linking data and learning
55. Mandinach, E. B. and Jackson, S. 2010, July. District level use of data Bethesda, MD Presentation at the NCES STATS-DC 2010 Data Conference
56. Mandinach, E. B., Lash, A. and Nunnaley, D. 2009. Using data to inform decisions: How teachers use data to inform practice and improve student performance in mathematics, Alexandria, VA: CNA Education. Proposal submitted to and funded by the Institute of Education
57. Mandinach, E. B. and Smith, N. J. 2011. Leveraging the power of state longitudinal data systems: Building capacity to turn data into useful information, Washington, DC: Data Quality Campaign.
58. Mann, B. and Simon, T. 2010, July. Teaching teachers to use data Bethesda, MD Presentation at the NCES STATS-DC 2010 Data Conference
59. Mason, S. 2002, April. Turning data into knowledge: Lessons from six Milwaukee public schools New Orleans, LA Paper presented at the meeting of the American Educational Research Association
60. Means, B., Chen, E., DeBarger, A. and Padilla, C. 2011. Teachers' ability to use data to inform instruction: Challenges and supports, Washington, DC: U.S. Department of Education, Office of Planning, Evaluation, and Policy Development.
61. Means, B., Padilla, C. and 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 fromhttp://www.ed.gov/about/offices/list/opepd/ppss/reports.html#edtech
62. Miller, M. 2009. Achieving a wealth of riches: Delivering on the promise of data to transform teaching and learning, Washington, DC: Alliance for Excellent Education. (Policy Brief)
63. Moss, P. A., ed. 2007. Evidence and decision making, Malden, MA: Blackwell.
64. NCES. 2010. 20 states win grants for longitudinal data systems Retrieved fromhttp://nces.ed.gov/programs/slds/fy09arra_announcement.asp
65. NCES. 2011. Grants for statewide longitudinal data systems Retrieved fromhttp://nces.ed.gov/programs/slds/fy12_rfa.asp
66. Nichols, S. L. and Berliner, D. C. 2007. Collateral damage: How high-stakes testing corrupts America's schools., Cambridge, MA: Harvard Education Press.
67. No Child Left Behind Act of. 2001. 20 U.S.C. Retrieved fromhttp://www.nclb.gov
68. Petrides, L. A. 2006. Using data to improve instruction. THE Journal, April. Retrieved fromhttp://thejournal.com/articles/18239
69. Schneider, M. 2009. Guest editorial: Imagining IES's future. The Education Gadfly, 9(14) Retrieved fromhttp://www.edexcellence.net/gadfly/index.cfm?issue=4828edition=N
70. Schunk, D. H. and Zimmerman, B. J., eds. 1994. Self-regulation and performance: Issues and educational applications, Hillsdale, NJ: Erlbaum.
71. Schunk, D. H. and Zimmerman, B. J., eds. 1998. Self-regulated learning: From teaching to self-reflective practice, New York, NY: Guilford.
72. Shulman, L. S. 1986. Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2): 4-14.
73. Shulman, L. S. and Elstein, A. S. 1975. Studies of problem solving, judgment, and decision making: Implications for educational research. Review of Research in Education, 3: 3-42.
74. Smith, N. 2009, October. Data accuracy in longitudinal data systems, Rockville, MD: Presentation given to the Special Education Data Accountability Center Retreat.
75. Spellings, M. A. 2005, June. Seeing the data, meeting the challenge, Indianapolis, IN: Speech given at the Indiana High School Summit: Redesigning Indiana's High Schools. Retrieved fromhttp://www.ed.gov/news/speeches/2005/06/06142005.html
76. Stecher, B. M. and Hamilton, L. S. 2006. Using test-score data in the classroom, Santa Monica, CA: RAND Education. (WR-375-EDU)
77. Stiggins, R. 2002. Assessment crisis: The absence of assessment FOR learning. Phi Delta Kappan, 83: 758-765.
78. Stiggins, R. 2005. From formative assessment to assessment FOR learning: A path to success in standards-based schools. Phi Delta Kappan, 85: 324-328.
79. U. S. Department of Education. 2010. Race to the Top Assessment program Retrieved fromhttp://www2.ed.gov/programs/racetothetop-assessment/index.html
80. Valli, L. and Buese, D. 2007. The changing roles of teachers in an era of high-stakes accountability. American Educational Research Journal, 44: 519-558.
81. Wayman, J. C. 2005a. Involving teachers in data-driven decision-making: Using computer data systems to support teacher inquiry and reflection. Journal of Education for Student Placed at Risk, 10: 521-548.
82. Wayman, J. C. 2005b. Transforming data into knowledge: Applications of data-based decision-making to improve educational practice [Special issue]. Journal of Education for Students Placed at Risk, 10(3)
83. Wayman, J. C. 2006. Data use for school improvement [Special issue]. American Journal of Education, 112(4)
84. Wayman, J. C. 2007. "Student data systems for school improvement: The state of the field". In Educational Technology Research Symposium: Vol. 1, 156-162. Lancaster, PA: ProActive.
85. Wayman, J. C., Cho, V. and Johnston, M. T. 2007. The data-informed district: A district-wide evaluation of data use in the Natrona County School District, Austin: The University of Texas.
86. Wayman, J. C. and Stringfield, S. 2006. Technology-supported involvement of entire faculties in examination of student data for instructional improvement. American Journal of Education, 112: 549-571.
87. White, S. H. 2005. Beyond the numbers: Making data work for teachers and school leaders, Englewood, CO: Lead + Learn Press.
88. Whitehurst, G. J. 2003, April. The Institute for Education Sciences: New wine and new bottles, Chicago, IL: Paper presented at the annual meeting of the American Educational Research Association.
89. Wiliam, D. 2010. Standardized testing and school accountability. Educational Psychologist, 45: 107-122.
90. Williams, B. and Hummelbrunner, R. 2011. Systems concepts in action: A practitioner's toolkit, Stanford, CA: Stanford University Press.
91. Zimmerman, B. J. and Schunk, D. H., eds. 2001. Self-regulated learning and academic achievement: Theoretical perspectives, 2nd ed., Mahwah, NJ: Erlbaum.