New evidence concerning school accountability and mathematics instructional quality in the no child left behind era
Tóm tắt
Using longitudinal data from the No Child Left Behind (NCLB) era, I applied regression techniques and found a positive association between school failure to reach “adequate yearly progress” in mathematics and subsequent changes in the quality of middle grades mathematics instruction in districts where district leaders adopted robust theories of action for improving mathematics instruction. The positive association was robust to multiple sensitivity tests and may reflect a causal relationship. The evidence suggests that educational leaders in similar contexts can use school failure to reach accountability standards as measured by standardized assessments to promote instructional quality in mathematics.
Tài liệu tham khảo
Anagnostopoulos, D. (2003). The new accountability, student failure and teachers’ work in urban high schools. Educational Policy, 17(3), 291–316. https://doi.org/10.1177/0895904803254481.
Baker, D. (2014). The schooled society (1st ed.). Stanford: Stanford University Press.
Ball, D. L. (2000). Bridging practices: intertwining content and pedagogy in teaching and learning to teach. Journal of Teacher Education, 51(3), 241–247.
Bollen, K. A., & Jackman, R. W. (1990). In J. Fox & J. S. Long (Eds.), Modern methods of data analysis. Newbury Park: Sage Publications.
Boston, M. D. (2012). Assessing instructional quality in mathematics. The Elementary School Journal, 113(1), 76–104.
Boston, M. D., & Wilhelm, A. G. (2015). Middle school mathematics instruction in instructionally focused urban districts. Urban Education, 1–33. https://doi.org/10.1177/0042085915574528.
Boston, M., & Wolf, M. K. (2006). Assessing Academic Rigor in Mathematics Instruction: The Development of the Instructional Quality Assessment Toolkit [Technical Report]. https://doi.org/10.1037/e644922011-001
Boston, M., Bostic, J., Lesseig, K., & Sherman, M. (2015). A comparison of mathematics classroom observation protocols. Mathematics Teacher Educator, 3(2), 154–175.
Brennan, R. L. (2001). Generalizability theory. New York: Springer-Verlag.
Campbell, S. L., & Ronfeldt, M. (2018). Observational evaluation of teachers: measuring more than we bargained for? American Educational Research Journal, 000283121877621. https://doi.org/10.3102/0002831218776216.
Chiang, H. (2009). How accountability pressure on failing schools affects student achievement. Journal of Public Economics, 93(9–10), 1045–1057. https://doi.org/10.1016/j.jpubeco.2009.06.002.
Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2006). Teacher-Student Matching and the Assessment of Teacher Effectiveness. The Journal of Human Resources, 41(4), 778–820.
Cobb, P., Jackson, K., Henrick, E., & Smith, T. M. (2018). Systems for instructional improvement: creating coherence from the classroom to the district office (1st ed.). Harvard Education Press.
Cochran-Smith, M., & Lytle, S. L. (1999). Relationships of knowledge and practice: teacher learning in communities. Review of Research in Education, 24(1), 249–305. https://doi.org/10.3102/0091732X024001249.
Dee, T. S., Jacob, B., & Schwartz, N. L. (2013). The effects of NCLB on school resources and practices. Educational Evaluation and Policy Analysis, 35(2), 252–279. https://doi.org/10.3102/0162373712467080.
Desimone, L. M., Hochberg, E. D., & McMaken, J. (2016). Teacher knowledge and instructional quality of beginning teachers: growth and linkages. Teachers College Record, 118(May), 54.
Franke, M. L., Kazemi, E., & Battey, D. (2007). Mathematics teaching and classroom practice. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning (2nd ed., pp. 225–256). Charlotte: National Council of Teachers of Mathematics.
Fuller, B., Wright, J., Gesicki, K., & Kang, E. (2007). Gauging growth: how to judge no child left behind? Educational Researcher, 36(5), 268–278. https://doi.org/10.3102/0013189X07306556.
Gamoran, A., Porter, A. C., Smithson, J., & White, P. A. (1997). Upgrading high school mathematics instruction: improving learning opportunities for low-achieving, low-income youth. Educational Evaluation and Policy Analysis, 19(4), 325–338.
Hamilton, L., Berends, M., & Stecher, B. M.. (2005). Teachers ’ responses to standards-based accountability.
Hannaway, J., & Hamilton, L. (2008). Performance-based accountability Policies: Implications for School and Classroom Practices. https://doi.org/10.1037/e722482011-001.
Harris, D. N., & Sass, T. R. (2011). Teacher training, teacher quality and student achievement. Journal of Public Economics, 95(7–8), 798–812. https://doi.org/10.1016/j.jpubeco.2010.11.009.
Herman, J. L. (2004). The effects of testing on instruction. In S. H. Fuhrman & R. F. Elmore (Eds.), Redesigning accountability systems for education. New York: Teachers College Press.
Hiebert, J., Carpenter, T. P., Fennema, E., Fuson, K. C., Wearne, D., Murray, H., et al. (1997). Making sense: teaching and learning mathematics with understanding. Portsmouth: Heinemann.
Hill, H. C., Charalambous, C. Y., & Kraft, M. A. (2012). When rater reliability is not enough: teacher observation systems and a case for the generalizability study. Educational Researcher, 41(2), 56–64. https://doi.org/10.3102/0013189X12437203.
Holmstrom, B., & Milgrom, P. (1991). Multitask principal-agent analyses: incentive contracts, asset ownership, and job design. Journal of Law, Economics, and Organization, 7(Special Issue), 24–52.
Jacob, B. A. (2005). Accountability, incentives and behavior: the impact of high-stakes testing in the Chicago public schools. Journal of Public Economics, 89(5–6), 761–796. https://doi.org/10.1016/j.jpubeco.2004.08.004.
Kane, T. J., Taylor, E. S., Tyler, J. H., & Wooten, A. L. (2011). Identifying effective classroom practices using student achievement data. The Journal of Human Resources, 46(3), 587–613.
Kazemi, E., & Franke, M. L.. (2004). Teacher learning in mathematics: using student. 203–235.
Kim, J. S., & Sunderman, G. L. (2005). Measuring academic proficiency under the no child left behind act: implications for educational equity. Educational Researcher, 34(8), 3–13. https://doi.org/10.3102/0013189X034008003.
Ladd, H. F., & Sorensen, L. C. (2017). Returns to teacher experience: student achievement and motivation in middle school. Education Finance and Policy, 12(2), 241–279. https://doi.org/10.1162/EDFP_a_00194.
Manna, P.. (2011). Collision course: federal education policy meets state and local realities. CQ Press.
McGuinn, P.. (2006). No Child Left Behind and the transformation of federal education policy. Lawrence.
Mintrop, H., & Sunderman, G. L. (2009). Predictable failure of federal sanctions-driven accountability for school improvement—and why we may retain it anyway. Educational Researcher, 38(5), 353–364. https://doi.org/10.3102/0013189X09339055.
MIST Instruments. (n.d.). Retrieved July 13, 2019, from Peabody College of Education and Human Development website: https://peabody.vanderbilt.edu/departments/tl/teaching_and_learning_research/mist/mist_instruments.php
Monfils, L. F., Firestone, W. A., Hicks, J. E., Martinez, M. C., Schorr, R. Y., & Camilli, G. (2004). Teaching to the test. In W. A. Firestone, R. Y. Schorr, & L. F. Monfils (Eds.), The ambiguity of teaching to the test. Mahwah: Lawrence Erlbaum Associates.
National Center for Education Statistics. (2003). Highlights from the TIMSS 1999 Video Study of Eighth-Grade Mathematics Teaching (pp. 1–12). Washington, D.C.
National Council of Teachers of Mathematics. (2000). Principles and standards. Reston: NCTM.
NEA - ESEA/NCLB Update #129. (2012). Retrieved from http://www.nea.org/home/50526.htm
Polikoff, M. S. (2015). The stability of observational and student survey measures of teaching effectiveness. American Journal of Education, 121.
Popham, J. W. (2001). Teaching to the test? Educational Leadership, (March).
Quint, J. C., Akey, T. M., Rappaport, S., & Willner, C. J. (2007). Instructional leadership, Teaching quality and student achievement suggestive evidence from three urban school districts.
Resnick, L., Matsumara, L. C., & Junker, B. (2006). Measuring reading comprehension and mathematics instruction in urban middle schools: a pilot study of the Instructional Quality Assessment (CSE Technical report No. 681). Los Angeles, CA: Center for the study of evaluation.
Rockoff, J. E. (2004). The impact of individual teachers on student achievement: evidence from panel data. The American Economic Review, 94(2).
Rockoff, J., & Turner, L. J. (2010). Short-run impacts of accountability on school quality. American Economic Journal: Economic Policy, 2, 119–147.
Schools and Staffing Survey. (n.d.-a). Among public school teachers born in 1946 or later, total number of teachers, average years of teaching experience, average age, and percentage distribution by sex, marital status, years of teaching experience, race/ethnicity, and selected year of birth: 2011–12. Retrieved July 3, 2017, from https://nces.ed.gov/surveys/sass/tables/sass1112_20170125_t1n.asp
Schools and Staffing Survey. (n.d.-b). Characteristics of public, private, and bureau of Indian education elementary and secondary school teachers in the United States: results from the 2007–08 Schools and Staffing Survey. Retrieved July 3, 2017, from https://nces.ed.gov/pubs2009/2009324/tables/sass0708_2009324_t12n_04.asp
Staiger, D. O., Kane, T. J. (2013). Making Decisions with Imprecise Performance Measures: The Relationship Between Annual Student Achievement Gains and a Teacher’s Career Value‐Added
StataCorp. (2013). Stata 13 base reference manual. College Station: Stata Press.
Stein, M. K., & Lane, S. (1996). Instructional tasks and the development of student capacity to think and reason: an analysis of the relationship between teaching and learning in a reform mathematics project. Educational Research and Evaluation, 2(1), 50–80.
Stein, M. K., Grover, B. W., & Henningsen, M. A. (1996). Building student capacity for mathematical thinking and reasoning: an analysis of mathematical tasks used in reform classrooms. American Educational Research Journal, 33(2).
Steinberg, M. P., & Garrett, R. (2016). Classroom composition and measured teacher performance: what do teacher observation scores really measure? Educational evaluation and policy analysis, XX(X), 0162373715616249-. https://doi.org/10.3102/0162373715616249.
Toch, T. (2006). Margins of error. Education Sector.
Watanabe, M. (2007). Displaced teacher and state priorities in a high-stakes accountability context. https://doi.org/10.1177/0895904805284114.
Wilhelm, A. G., & Kim, S. (2015). Generalizing from observations of mathematics teachers’ instructional practice using the instructional quality assessment. Journal for Research in Mathematics Education, 46(3), 270–279.