Understanding Local Instructional Responses to Federal and State Accountability Mandates: A Typology of Extended Learning Time

REFERENCES

• Anagnostopoulos, D., Rutledge, S.A., & Jacobsen, R. (2013). Mapping the infrastructure of accountability. In D. Anagnostopoulos, S.A. Rutledge, & J. Jacobsen (Eds.), The infrastructure of accountability: Data use and the transformation of American education (pp. 1–33). Cambridge, MA: Harvard Education Press.
   Google Scholar
• Au, W. (2008a). Between education and the economy: High-stakes testing and the contradictory location of the new middle class. Journal of Education Policy, 23(5), 501–513.
   Web of Science ®Google Scholar
• Au, W. (2008b). Devising inequality: A Bernsteinian analysis of high-stakes testing and social reproduction in education. British Journal of Sociology of Education, 29(6), 639–651.
   Web of Science ®Google Scholar
• Bray, M. (2011). The challenge of shadow education: Private tutoring and its implications for policy makers in the European Union. Luxembourg: European Commission.
   Google Scholar
• Bray, M., & Lykins, C. (2012). Shadow education: Private supplementary tutoring and its implications for policy makers in Asia. Manila, Philippines: Asian Development Bank.
   Google Scholar
• Brimijoin, K. (2005). Differentiation and high-stakes testing: An oxymoron? Theory Into Practice, 44(3), 254–261.
   Web of Science ®Google Scholar
• Canady, R.L., & Rettig, M.D. (2000). Block scheduling: What we have learned. In W.G. Wraga, P.S. Hlebowitsh, & D. Tanner (Eds.), Research review for school leaders (Vol. 3, pp. 347–374). Mahwah, NJ: L. Erlbaum Associates.
   Google Scholar
• Chatterji, M., Kwon, Y.A., & Sng, C. (2006). Gathering evidence on an after-school supplemental instruction program: Design challenges and early findings in light of NCLB. Education Policy Analysis Archives, 14(12), 1–44.
   Google Scholar
• Cohen, P., Kulik, J., & C. Kulik. (1982). Educational outcomes of tutoring: A meta-analysis of findings. American Educational Research Journal, 19(2), 237–248.
   Web of Science ®Google Scholar
• Cohen-Vogel, L. (2011). Staffing to the test: Are today's school personnel practices evidence based? Educational Evaluation and Policy Analysis, 33(4), 483–505.
   Web of Science ®Google Scholar
• Cohen-Vogel, L., Goldring, E., & Smrekar, C. (2010). The influence of local conditions on social service partnerships, parent involvement, and community engagement in neighborhood schools. American Journal of Education, 117(1), 51–78.
   Web of Science ®Google Scholar
• Cohen-Vogel, L. & Harrison, C. (2013). Leading with data: Evidence from the National Center on Scaling Up Effective Schools. Leadership and Policy in Schools, 12(2), 122–145.
   Google Scholar
• Cohen-Vogel, L., & McLendon, M. (2009). New approaches to understanding federal involvement in education. In G. Sykes, B. Schneider, & D.N. Plank (Eds.), Handbook of education policy research (pp. 735–748). New York, NY: Routledge.
   Google Scholar
• Cohen-Vogel, L., Midkiff, B., & C. Harrison. (2014). Extended instructional time: A narrative review of double-dosing. Paper presented at the 2014 Association for Education Finance & Policy (AEFP) Annual Conference, San Antonio, TX.
   Google Scholar
• Cohen-Vogel, L., Osborne-Lampkin, L., & Houck, E. (2013). New data, old patterns: The role of test scores in student assignment. In D. Anagnostopoulos, S.A. Rutledge, and R. Jacobsen (Eds.), The infrastructure of accountability: Mapping data use and its consequences (pp. 129–144). Cambridge, MA: Harvard Education Press.
   Google Scholar
• Cohen-Vogel, L., & Rutledge, S. (2009). The pushes and pulls of new localism: School-level instructional arrangements, instructional resources, and family-community partnerships. In R. Crowson & E. Goldring (Eds.), The new localism in American education: The yearbook of the National Society for the Study of Education (Vol. 108, pp. 70–103). Chicago, IL: University of Chicago Press.
   Google Scholar
• Cortes, K.E., Goodman, J., & Nomi, T. (2013). Intensive math instruction and educational attainment: Long-run impacts of double-dose algebra (HKS Working Paper No. RWP13–009). . Retrieved from http://ssrn.com/abstract=2248171
   Google Scholar
• Council of the Great City Schools. (2009). Council of the Great City Schools, high school reform survey, school year 2006–2007. Washington, DC: Author.
   Google Scholar
• Dynarski, M., Clarke, L., Cobb, B., Finn, J., Rumberger, R., & Smink, J. (2008). Dropout prevention: A practice guide (NCEE 2008–4025). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education. Retrieved from http://ies.ed.gov/ncee/wwc
   Google Scholar
• Fayetteville High School (n.d.). Students Maximizing Achievement with Resources and Time (SMART) lunch. Retrieved on April 16, 2014 from http://www.fayar.net/fhs/school-info/smartlunch.html
   Google Scholar
• Figlio, D.N., & Winicki, J. (2005). Food for thought: The effects of school accountability plans on school nutrition. Journal of Public Economics, 89(2), 381–394.
   Web of Science ®Google Scholar
• Florida K–20 Education Code (Title XXLVIII). Supplemental Academic Instruction Categorical Fund, F.S. § 1011.62.f.2 (2012). Retrieved from http://www.flsenate.gov/Laws/Statutes/2012/1011.62
   Google Scholar
• Georgia Department of Education. (2010). Georgia high school graduation requirements: Preparing students for success. Atlanta, GA: Author.
   Google Scholar
• Grissom, J.A., Kalogrides, D., & Loeb, S. (2014). Using student test scores to measure principal performance. Educational Evaluation and Policy Analysis. Advance online publication. doi:10.3102/0162373714523831
   Google Scholar
• Harris, D.M. (2010). Curriculum differentiation and comprehensive school reform: Challenges in providing educational opportunity. Educational Policy, 25(5), 844–884.
   Web of Science ®Google Scholar
• Harris, W.T. (1894). Annual report of Commissioner of Education, 1893–1894 ( Vols. 1 and 2). . Out of print.
   Google Scholar
• Heinrich, C., Meyer, R., & Whitten, G. (2010). Supplemental education services under No Child Left Behind: Who signs up, and what do they gain? Educational Evaluation and Policy Analysis, 32(2), 273–298.
   Web of Science ®Google Scholar
• Hidden curriculum. (2014, August 26). In S. Abbott (Ed.), The glossary of education reform. Retrieved from http://edglossary.org/hidden-curriculum
   Google Scholar
• Jones, C.J. (2007). The 2007 supplemental education services program: Year 4 summative evaluation. Chicago, IL: Chicago Public Schools Office of Extended Learning Opportunities.
   Google Scholar
• Kane, C.M., & United States National Education Commission on Time and Learning. (1994). Prisoners of time: Report of the National Education Commission on Time and Learning. Washington, DC: U.S. Government Printing Office.
   Google Scholar
• Kolbe, T., Partridge, M., & O’Reilly, F. (2012). Time and learning in schools: A national profile. Boston, MA: National Center on Time and Learning.
   Google Scholar
• Mac Iver, D.J., Balfanz, R., & Plank, S.B. (1998). An “elective replacement” approach to providing extra help in math: The talent development middle schools’ computer- and team-assisted mathematics acceleration (CATAMA) program. Research in Middle Level Education Quarterly, 22(2), 1–23.
   Google Scholar
• Massachusetts 2020. (2012). Expanded learning time overview. Retrieved November 15, 2012 from http://www.mass2020.org/node/10
   Google Scholar
• Metropolitan Nashville Public Schools (2012). FAQs & calendar facts. Retrieved November 14, 2012 from http://www.mnps.org/Page82080.aspx
   Google Scholar
• Metropolitan Nashville Public Schools. (2014a). About intersession. Retrieved on April 24, 2014 from http://www.mnps.org/Page91847.aspx
   Google Scholar
• Metropolitan Nashville Public Schools. (2014b). Spring 2014 intersession—School-based opportunities. Retrieved on May 2, 2014 from http://www.mnps.org/AssetFactory.aspx?did=92126
   Google Scholar
• Meyer, H.D., & Rowan, B. (Eds.). (2006). The new institutionalism in education. Albany, NY: State University of New York Press.
   Google Scholar
• Murakami-Ramalho, E., & Wilcox, K.A. (2012). Response to intervention implementation: A successful principal's approach. Journal of Educational Administration, 50(4), 483–500.
   Google Scholar
• National Governors Association Center for Best Practices, & Council of Chief State School Officers. (2010). Common Core State Standards for Mathematics: Appendix A, Designing high school mathematics courses based on the Common Core State Standards. Washington, DC: National Governors Association Center for Best Practices and Council of Chief State School Officers. Retrieved from http://www.corestandards.org/assets/CCSSI_Mathematics_Appendix_A.pdf
   Google Scholar
• No Child Left Behind Act of 2001, Pub L. No. 107–110, 115 Stat. 1425 (2002).
   Google Scholar
• Nomi, T., & Allensworth, E. (2009). “Double-dose” algebra as an alternative strategy to remediation: Effects on students’ academic outcomes. Journal of Research on Educational Effectiveness, 2(2), 111–148.
   Google Scholar
• Ogawa, R. (2009). Commentary: Improvement or reinvention—Two policy approaches to school reform. In G. Sykes, B. Schneider, & D.N. Plank (Eds.), Handbook of education policy research (pp. 534–538). New York, NY: Routledge.
   Google Scholar
• Osborne-Lampkin, L., & Cohen-Vogel, L. (2014). “Spreading the wealth”: How principals use performance data to populate classrooms. Leadership and Policy in Schools, 13, 188–208.
   Google Scholar
• Poinciana High School (2006). FCAT Saturday camp @ PHS. Retrieved November 15, 2012 from http://www.phs.osceola.k12.fl.us/info/fcat/camp_parent.html
   Google Scholar
• Reis, S.M., McCoach, D.B., Coyne, M., Schreiber, F.J., Eckert, R.D., & Gubbins, E.J. (2007). Using planned enrichment strategies with direct instruction to improve reading fluency, comprehension, and attitude toward reading: An evidence-based study. Elementary School Journal, 108(1), 3–24.
   Web of Science ®Google Scholar
• Retting, M. (1999, March). It's about time. The School Administrator. Retrieved from http://www.aasa.org/SchoolAdministratorArticle.aspx?id=14852
   Google Scholar
• Tamarac Elementary School. (2011). FCAT tutoring camps. Retrieved November 15, 2012 from http://tamarac.browardschools.com/2011/12/fcat-tutoring-camps/
   Google Scholar
• U.S. Department of Education. (2009). State and local implementation of the No Child Left Behind Act: Volume VII—Title I school choice and supplemental educational services: Final report. Retrieved May 15, 2014 from http://www2.ed.gov/rschstat/eval/choice/nclb-choice-ses-final/index.html
   Google Scholar
• U.S. Department of Education. (2012). Description of supplemental educational services. Retrieved January 16, 2013 from http://www2.ed.gov/nclb/choice/help/ses/description.html
   Google Scholar
• 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. doi:10.3102/0002831207306859
   Web of Science ®Google Scholar
• Wakefield High School. (2011). Wakefield HS SMART Lunch. Retrieved November 14, 2012 from http://wakefieldhs.wcpss.net/smartlunch.php
   Google Scholar
• What Works Clearinghouse. (2007). Peer tutoring and response groups. Retrieved from http://ies.ed.gov/ncee/wwc/interventionreport.aspx?sid=363
   Google Scholar
• W. H. Beasley Middle School (2012). Beasley's FCAT camp to begin soon. Retrieved November 15, 2012, from http://connect.putnamschools.org/bms/2012/10/23/beasleys-fcat-camp-to-begin-soon/
   Google Scholar
• Zepeda, S.J., & Mayers, R.S. (2006). An analysis of research on block scheduling. Review of Educational Research, 76(1), 137–170. doi:10.2307/3700585
   Web of Science ®Google Scholar
• Zimmer, R., Gill, B., Razquin, P., Booker, K., & Lockwood, J.R. , III. (2007). State and local implementation of the No Child Left Behind Act: Volume I—Title I school choice, supplemental educational services, and student achievement. Retrieved on April 30, 2014 from http://files.eric.ed.gov/fulltext/ED497259.pdf
   Google Scholar