The complexity of data-based decision making: An introduction to the special issue

Ellen B. Mandinach, Kim Schildkamp*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
35 Downloads (Pure)

Abstract

This special issue explores the complexity and interconnectedness of the many components of data-based decision making. The selection of papers represents many countries (i.e., Belgium, The Netherlands, New Zealand, Norway, and the United States), theories, methods, and foci. All the papers seek to explicate how data are used at the different level of the system, ranging from students, teachers, schools, and districts. Together these papers offer a view of the current data-based decision making landscape, including in- and pre-service professional development, district and school organizational capacity, the data use process (from goal setting to collaborative instructional decision making), and effects on student achievement. The intent of the special issue is to stimulate future work in terms of impact on research, theory, policy, and practice.

Original languageEnglish
Article number100906
JournalStudies in educational evaluation
Volume69
Early online date15 Jul 2020
DOIs
Publication statusPublished - 1 Jun 2021

Keywords

  • UT-Hybrid-D
  • Data use
  • Data-based decision making
  • Data-driven decision making
  • Misconceptions
  • School improvement
  • Data literacy

Fingerprint

Dive into the research topics of 'The complexity of data-based decision making: An introduction to the special issue'. Together they form a unique fingerprint.

Cite this