Making Sense of Student Performance Data: Data Use Logics and Mathematics Teachers’ Learning Opportunities

American Educational Research Journal

Volumn 52, Issue 2, 2015, Pages 208-242

  Horn, Ilana Seidel ^a   Kane, Britnie Delinger ^a   Wilson, Jonee ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

accountability policy; case study; data use; discourse analysis; teacher learning

Indexed keywords

EID: 84925861587     PISSN: 00028312     EISSN: 19351011     Source Type: Journal    
DOI: 10.3102/0002831215573773     Document Type: Article

References (41)

1. Bannister N. A.Reframing practice: Teacher learning through interactions in a collaborative group.Journal of the Learning Sciences. 2015;
2. Bogdan R. C.,Biklen S. K.Qualitative research for education: An introduction to theory and methods. (1992). Qualitative research for education: An introduction to theory and methods (2nd ed.). Needham Heights, MA: Allyn & Bacon.Needham Heights, MA: Allyn & Bacon; 1992
3. Booher-Jennings J.Below the bubble: “Educational triage” and the Texas Accountability System.American Educational Research Journal. 2005;42 (2): 231-268
4. Diamond J. B.,Cooper K.The uses of testing data in urban elementary schools: Some lessons from Chicago.Yearbook of the National Society for the Study of Education. 2007;106 (1): 241-263
5. Feldman M. S.,Pentland B. T.Reconceptualizing organizational routines as a source of flexibility and change.Administrative Science Quarterly. 2003;48 (1): 94-118
6. Garfinkel H.Studies in ethnomethodology. Englewood Cliffs, NJ: Prentice Hall; 1967
7. Goffman E.Frame analysis. Boston, MA: Northeastern University Press; 1974
8. Greeno J.,Gresalfi M.Assessment, equity, and opportunity to learn. Moss P. A.Pullin D. C.Gee J. P.Haertel. E. H.Young L. J., ed. New York, NY: Cambridge University Press; 2009:170-199.
9. Hall R.,Horn I. S.Talk and conceptual change at work: Adequate representation and epistemic stance in a comparative analysis of statistical consulting and teacher workgroups.Mind, Culture, and Activity. 2012;19 (2): 240-258
10. Honig M. I.,Coburn C.Evidence-based decision making in school district central offices toward a policy and research agenda.Educational Policy. 2008;22 (4): 578-608
11. Horn I. S.Learning on the job: A situated account of teacher learning in high school mathematics departments.Cognition & Instruction. 2005;23 (2): 207-236
12. Horn I. S.Fast kids, slow kids, lazy kids: Framing the mismatch problem in mathematics teachers’ conversations.Journal of the Learning Sciences. 2007;16 (1): 37-79
13. Horn I. S.Teaching replays, teaching rehearsals, and re-visions of practice: Learning from colleagues in a mathematics teacher community.Teachers College Record. 2010;112 (1): 225-259
14. Horn I. S.,Kane B. D.Opportunities to learn in mathematics teachers’ collaborative conversations.Journal of the Learning Sciences. in press;
15. Horn I. S.,Little J. W.Attending to problems of practice: Routines and resources for professional learning in teachers’ workplace interactions.American Educational Research Journal. 2010;47:181-217
16. Ikemoto G. S.,Marsh J. A.Cutting through the “data-driven” mantra: Different conceptions of data-driven decision making.Yearbook of the National Society for the Study of Education. 2007;106 (1): 105-131
17. Jackson K.,Cobb P.,Rigby J. G..Paper presented at the University Council for Educational Administration; 2014Washington, DC; 2014.
18. Jennings J.The effects of accountability system design on teachers’ use of test score data.Teachers College Record. 2012;114 (11): 1-23
19. Kerr K. A.,Marsh J. A.,Ikemoto G. S.,Darilek H.,Barney H.Strategies to promote data use for instructional improvement: Actions, outcomes, and lessons from three urban districts.American Journal of Education. 2006;112 (4): 496-520
20. Latour B.Reassembling the social: An introduction to actor network theory. Oxford, UK: Oxford University Press; 2009
21. Lave J.,Wenger E.Situated learning: Legitimate peripheral participation. Cambridge, UK: Cambridge University Press; 1991
22. Leech N. L.,Onwuegbuzie A. J.A typology of mixed methods research designs.Quality & Quantity. 2009;43 (2): 265-275
23. Little J. W.Inside teacher community: Representations of classroom practice.Teachers College Record. 2003;105 (6): 913-945
24. Little J. W.Understanding data use practice among teachers: The contribution of micro-process studies.American Journal of Education. 2012;118 (2): 143-166
25. Mandinach E.,Honey M.,Light D.,Brunner C.Data-driven school improvement: Linking data and learning. Mandinach E. B.Honey M., ed. New York, NY: Teachers College Press; 2008:13-31.
26. Mehta J.The penetration of technocratic logic into the educational field: Rationalizing schooling from the progressives to the present.Teachers College Record. 2013;115 (5): 1-36
27. Munter C.Developing visions of high-quality mathematics instruction.Journal for Research in Mathematics Education. 2014;45 (5): 584-635
28. Principles and standards for school mathematics. Reston, VA: Author; 2000
29. Nolen S. B.,Horn I. S.,Ward C. J.Assessment tools as boundary objects in novice teachers’ learning.Cognition & Instruction. 2011;29 (1): 88-122
30. Saville-Troike M.The ethnography of communication: An introduction. Indianapolis, IN: John Wiley & Sons; 2008
31. Schildkamp K.,Kuiper W.Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors.Teaching and Teacher Education. 2010;26:482-496
32. Sherer J. Z.,Spillane J. P.Constancy and change in work practice in schools: The role of organizational routines.Teachers College Record. 2011;113 (3): 611-657
33. Spillane J. P.Data in practice: Conceptualizing the data-based decision-making phenomena.American Journal of Education. 2012;118 (2): 113-141
34. Stringfield S.,Wayman J. C.,Yakimowski M.Scaling up success: Lessons learned from technology-based educational innovation. Dede C.Honan J.Peters L., ed. San Francisco, CA: Jossey-Bass; 2005:133-152.
35. Supovitz J.Getting at student understanding: The key to teachers’ use of test data.Teachers College Record. 2012;114 (11): 1-29
36. Van Maanen J.,Barley S. R.Occupational communities: Culture and control in organizations.Research in Organizational Behavior. 1984;6:287-365
37. Wayman J. C.,Stringfield S.Data use for school improvement: School practices and research perspectives.American Journal of Education. 2006;112 (4): 463-468
38. Wiliam D.,Thompson M.The future of assessment: Shaping teaching and learning. Dwyer C. A., ed. Mahwah, NJ: Erlbaum; 2007:53-82.
39. Wohlstetter P.,Datnow A.,Park V.Creating a system for data-driven decision-making: Applying the principal-agent framework.School Effectiveness and School Improvement: An International Journal of Research, Policy and Practice. 2008;19 (3): 239-259
40. Yin R. K.Case study research: Design and methods. (2009). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: SAGE.Thousand Oaks, CA: SAGE; 2009
41. Yoon I. H.The paradoxical nature of whiteness-at-work in the daily life of schools and teacher communities.Race Ethnicity and Education. 2012;15 (5): 587-613