Data-Driven Decision-Making in Primary School

Yıl 2009, Cilt: 59 Sayı: 59, 367 - 398, 01.10.2009

Kamile Demir

Öz

The purpose of this study was to investigate the use data for decisions made by principals to improve student achievement. A qualitative, descriptive case study method was used in this study. Nine principals were selected for interview according to the procedures of purposive sampling. The data were collected by semi-structured in-depth interviews. Results indicated that principals have an abundance of data available to guide them in decision-making. Student performance data were used most in school when decisions were related to increasing student achievement. The data analyzed with descriptive statistic techniques and benchmark indicators. Participants explained that data were used to monitor progress of student, identify students for after school programs, and give feedback to students, parents and teachers.

Anahtar Kelimeler

data-driven decision-making , school principal , student achievement

İlköğretim Okullarında Verilere Dayalı Karar Verme

Öz

Bu çalısmanın amacı okul yöneticilerinin ögrenci basarısını gelistirmeye yönelik kararlarında veri kullanımlarını incelemektir. Çalısmada nitel betimleyici durum çalısması yöntemi kullanılmıstır. Amaçlı örnekleme yöntemi ile dokuz okul yöneticisi görüsmelere katılmak üzere seçilmistir. Veriler, yarı yapılandırılmıs derinlemesine görüsmeleriyle toplanmıstır. Arastırmanın sonuçları okul yöneticilerinin kararlarında yol gösterebilecek verilere sahip oldugunu göstermistir. Ögrenci basarısının gelistirilmesine iliskin kararlarda ise çogunlukla ögrenci performans verileri kullanılmaktadır. Toplanan veriler betimsel istatistik tekniklerle ve kıyaslama yoluyla analiz edilmektedir. Okul yöneticileri, verilerin ögrenci gelisimini izlemek, ögrenciler için kurs ve etütler düzenlemek ve ögrenci, veli ve ögretmenlere dönüt vermek için kullanıldıgını belirtmektedir.

Anahtar Kelimeler

verilere dayalı karar verme , okul yöneticisi , öğrenci başarısı

Kaynakça

• American Association of School Administrators. (2002). Using data to improve schools: What's working. 25 Kasım 2008 tarihinde alındı, Available from www.aasa.org/files/PDFs/Publications/UsingDataToImproveSchools.pdf
• Acker, K. L. (2006). Data driven decision-making: from the superintendent to the classroom. Doctoral dissertation, Wilmington College, UMI Number: 3246665
• Alonzo, T. L. (2006). Closing achievement gaps through data driven decision making in a success for all school. Doctoral dissertation, University Of Southern California, UMI Number: 3237780
• Anderegg, C. C. (2007). Classrooms and schools analyzing student data: a study of educational practice. Doctoral dissertation, Pepperdine University, UMI Number: 3252719
• Arnold, J. G. (2007). School capacity for data-driven decision making and student achievement. Doctoral dissertation, University of South Carolina, UMI Number: 3280295
• Balcı, A. (2001). Sosyal bilimlerde araştırma yöntem, teknik ve ilkeler. Ankara: PegemA Yayıncılık.
• Barry, M. J. (2006). A school’s use of data for teaching and learning: a case study of data’s impact on instruction in an urban school. Doctoral dissertation, University of Southern California. UMI Number: 3237164
• Bernhardt, V. (2002). The school portfolio toolkit: a planning, implementation, and evaluation guide for continuous school improvement. Larchmont, NY: Eye On Education, Inc.
• Bernhardt, V. (2006). Using data to improve student learning in school districts. Larchmont, NY: Eye On Education, Inc.
• Bernhardt, V. (2000). Intersections. Journal of Staff Development, 21(1), 33-36.
• Bettesworth, L. R. (2006). Administrators' use of data to guide decision-making. Doctoral dissertation, University of Oregon. UMI Number: 3224072
• Blink, R. J. (2007). Data-driven instructional leadership. Larchmont, NY: Eye On Education, Inc.
• Breiter, A. ve Light, D. (2006). Data for school improvement: Factors for designing effective information systems to support decision-making in schools. Educational Technology & Society, 9(3), 206-21 7.
• Büyüköztürk, Ş., Çakmak, E.K., Akgün, Ö.A., Karadeniz, Ş. ve Demirel, F. (2008). Bilimsel Araştırma Yöntemleri. Ankara: PegemA Yayıncılık.
• Creighton, T.B. (2001). Schools and data: The educators guide to using data to improve decision making. Thousand Oaks, CA: Corvin Press.
• Coyne, M.J. (2006). Cultures of data use: case studies of two elementary schools engaged in data-based collaboration to improve instruction and achievement. Doctoral dissertation, The University of Minnesota. UMI Number: 3243336
• Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches. London: Sage Pub.
• Dean, J. S. (2007). A study of decision-making practices by urban Arizona public school principals: Data-driven decision-making praxis. Doctoral dissertation, Capella University, UMI Number: 3259658.
• Doyle, D. P. (2003). Data-driven decision-making. T. H.E. Journal, 30(10), 19-21.
• Earl, L. ve Katz, S. (2006) Leading schools in a data-rich world: Harnessing data for school improvement. Thousand Oaks, CA.: Convin Press.
• Earl, L. ve Fullan, M. (2003). Using data in leadership for learning. Cambridge Journal of Education, 33, 383-394.
• Earl, L. ve Katz, S. (2002). Leading schools in a data-rich world. In K. Leithwood and P. Hallinger (Eds.), Second international handbook of educational leadership and administration (pp.1003-1024). Dordrecht, Holland: Kluwer.
• Felton, F. S. (2006). The use of computers by elementary school principals. Doctoral dissertation, State University. Blacksburg, Virginia
• Fullan, M. (2003). The moral imperative of school leadership. Thousand Oaks, CA: Corwin Press.
• Fullan, M. ve Stiegelbauer, S. (1991). The new meaning of educational change. New York: Teacher’s College Press.
• Gentry, D. R. (2005). Technology supported data-driven decision-making in an Oklahoma elementary school. Doctoral dissertation, University of Oklahoma. UMI Number: 3159278
• Halverson, R., Grigg, J., Prichett, R. ve Thomas, C. (2005). The new instructional leadership: creating data-driven instructional systems in schools. Annual Meeting of the National Council of Professors of Educational Administration, Washington, D.C. 27 Ekim 2008 tarihinde alındı. Available from www.academiccolab.org/resources/documents/HalversonGriggPrichettThomas %20NCPEA.pdf
• Heritage M. ve Chen, E. (2005). Why data skills matter in school improvement. Phi Delta Kappan, May, 707-710.
• Holcomb, E.L. (1999). Getting excited about data: How to combine people, passion, and proof. Thousand Oaks, CA: Convin Press, Inc.
• Ingram, D., Seashore-Louis, L. ve Schroeder, R., (2004). Accountability policies and teacher decision making: barriers to the use of data to improve practice. Teachers College Record 106, 1258-1287.
• Jandris, T.P. (2001). Data-based decision making: Essentials for principals. Alexandria, VA.: National Association of Elementary School Principals.
• Keleher, J. B. (2007). Use of data management systems and data driven decision making among school level administrators and educators. Doctoral dissertation, University of Delaware. UMI Number: 3277847
• Killion, J. ve Bellamy, G.T. (2000). On the job: Data analysis focus school improvement efforts. Journal of Staff Development, 21 (1), 27-31.
• Lachat, M. (2001). Data driven high school reform: The breaking ranks model. Providence, RI: Northeast and Islands Regional Educational Laboratory at Brown University (ERIC No: ED466042)
• Lafee, S. (2002). Data-driven districts. School Administrator, 59(11), 6-15.
• Lorey, T. (2005). Principals' use of student achievement data to improve schools and influence change. Doctoral dissertation, Indiana State University, Terre Haute, Indiana, UMI Number: 3199444
• Marzano, R. J., Marzano, J.S. ve Pickering, D. (2003). Classroom management that works: Research-based strategies for every teacher. Alexandria, VA: Association for Supervision and Curriculum Development.
• McEwan, E. K. (2003). Ten traits of highly effective principals. Thousand Oaks, CA: Corwin Press.
• Meadows, H. O. (2008). Principals’ use of data in small and rural school distracts of Florida. Unpublished doctoral dissertation, The University of West Florida.
• Miller, J.K. (2007). The use of data to inform decisions by elementary building principals. Doctoral dissertation, University of Nebraska, Lincoln, Nebraska, UMI Number: 3293915
• Mooney, N. J. ve Mausbach, A. T. (2008). Align the design: A blueprint for school ımprovement, Alexandria, VA: Association for Supervision and Curriculum Development.
• O’Donnell, R. ve White G. (2005). Within the accountability era: principals’ instructional leadership behaviors and student achievement. NAASP Bulletin 89(645), 56-71.
• Rosenholtz, S.J. (1991). Teacher’s workplace: The social organization of schools. New York: Teachers College Press.
• Schmoker, M. J. (1999). Results: The key to continuous school improvement. Alexandria,VA: Association for Supervision and Curriculum Development.
• Shen, J. ve Cooley, V. E. (2008). Critical issues in using data for decision-making. International Journal of Leadership in Education, 11(3), 319–329.
• Stecker, P. M., Lembke, E.S. ve Foegen A. (2008). Using progress-monitoring data to improve instructional decision making. Preventing School Failure, 52(2), 48- 58.
• Thornton, B. ve Perreault, G. (2002). Becoming a data-based leader: An introduction. NASSP Bulletin, 86(630), 86-96.
• 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(3), 295–308.
• Yıldırım, A. ve Şimşek, H. (2005). Sosyal bilimlerde nitel araştırma yöntemleri. Ankara: Seçkin Yayıncılık.