From datafication to school improvement: The promise and perils of data-driven decision making

Hesham R.I. Badawy, Ahmed M. Alkaabi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This chapter examines datafication effects on educational practices. While the use of data and technology-enabled personalized learning environments increased accountability and guided educational practices and policies, it raised concerns about privacy, data quality, and potential misuse. Therefore, the reconfiguration of data use in schools involves data quality, collection, management, analysis, interpretation, visualization, integration, and literacy. Schools should make effective decisions and support student learning and educational improvement by taking a holistic and collaborative approach, involving all stakeholders and ensuring ethical and responsible use of data. The chapter makes recommendations for improving outcomes and developing a productive learning environment, including embracing a growth mindset, emphasizing student-centered decision making, fostering a culture of improvement, involving all stakeholders, using data to support learning and well-being, utilizing real-time data and feedback, leveraging technologies, and utilizing creative analysis techniques.

Original languageEnglish
Title of host publicationRestructuring Leadership for School Improvement and Reform
PublisherIGI Global
Pages301-325
Number of pages25
ISBN (Electronic)9781668478196
ISBN (Print)1668478188, 9781668478189
DOIs
Publication statusPublished - Apr 11 2023

ASJC Scopus subject areas

  • General Social Sciences

Fingerprint

Dive into the research topics of 'From datafication to school improvement: The promise and perils of data-driven decision making'. Together they form a unique fingerprint.

Cite this