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Journals / Kuram ve Uygulamada Eğitim Yönetimi / 2009 / Cilt: 15 - Sayı: 59

Data-Driven Decision-Making in Primary School

İlköğretim Okullarında Verilere Dayalı Karar Verme

Kamile DEMİR
Pages
367–397
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results indicated that principals have an abundance of data available to guide them in decision-making.

📌 3 Key Takeaways

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Objective & Hypothesis:The purpose of this study was to investigate the use data for decisions made by principals to improve student achievement.
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Key Findings & Data:Student performance data were used most in school when decisions were related to increasing student achievement.
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Conclusion & Impact:Results indicated that principals have an abundance of data available to guide them in decision-making.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:verilere dayalı karar verme · okul yöneticisi · öğrenci başarısı

Abstract

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.

Özet

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.

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Cite This Article

DEMİR, K. (2009). Data-Driven Decision-Making in Primary School. Kuram ve Uygulamada Eğitim Yönetimi, Cilt: 15 - Sayı: 59, 367–397. https://ajindex.com/articles/343806

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References (5)

  1. 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:
  2. 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.
  3. 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:
  4. PegemA Yayıncılık. Creighton, T.B. (2001). Schools and data: The educators guide to using data to improve decision making. Thousand Oaks, CA: Corvin Press.
  5. 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 Univer