Data-based decision making in developing countries: Balancing accountability measures and improvement efforts

  • Kim Schildkamp
  • , Cindy L. Poortman
  • , Pasi Sahlberg

    Research output: Contribution to journalEditorialpeer-review

    Abstract

    Research has shown that data use can lead to increased student achievement (Carlson et al., 2011; Lai et al., 2009; Poortman and Schildkamp, 2016; Van Geel et al., 2016). At the same time, more and more data have become available to schools and teachers. Education authorities are increasingly expected to make use of data (e.g. national assessment data, international large-scale assessments) in decision making regarding education policy and reforms. School leaders and teachers have more data available from classrooms and schools through observations and surveys that they can take into account in individual and collective professional judgment regarding teaching. This is often referred to as data-based decision making, data use for short. This involves the systematic collection, analysis and interpretation of multiple data sources, such as assessment results and classroom observations, to improve education (Schildkamp and Kuiper, 2010).
    Original languageEnglish
    Pages (from-to)166-171
    Number of pages6
    JournalJournal of Professional Capital and Community
    Volume4
    Issue number3
    DOIs
    Publication statusPublished - 26 Jun 2019

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 4 - Quality Education
      SDG 4 Quality Education

    Fingerprint

    Dive into the research topics of 'Data-based decision making in developing countries: Balancing accountability measures and improvement efforts'. Together they form a unique fingerprint.

    Cite this