Datafication of education
Abstract
This chapter offers a critical introduction to the ‘datafication’ of education to encourage better understanding and debate about data in relation to pedagogy and curriculum, in particular by drawing attention to the history, epistemology, social consequences, cultural contexts, politics and ethics of datafication. Thinking epistemologically about datafication means thinking about what we can know from data. Datafication rests on the assumption that patterns and relationships contained within datasets inherently produce meaningful, objective and insightful knowledge about complex phenomena. The new actors undertaking datafication are invested with a certain form of data power. Education businesses, venture capital firms, and philanthropies are putting large financial, material, and human resources into technologies of datafication, and are seeking both to make it commercially profitable and also attractive to policymakers as a source of intelligence into learning processes. Finally, there are legal, ethical, and regulatory mechanisms shaping datafication.
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Lessons from the Avalanche of Numbers: Big Data in Historical Perspective
Ambrose, M. L. (2015) · The Knowledge Bank (The Ohio State University) · Cited by 9 · see citing works
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Stakeholder Perspectives on the Ethics of AI in Distance-Based Higher Education
Holmes, W., Iniesto, F., Anastopoulou, S., & Boticario, J. G. (2023) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v24i2.6089 · Cited by 67 · see citing works
Sociodigital futures of education: Reparations, sovereignty, care, and democratisation
Sriprakash, A., Williamson, B., Facer, K., Pykett, J., & Valladares Celis, C. (2025) · Oxford Review of Education · doi:10.1080/03054985.2024.2348459 · Cited by 32 · see citing works
Self-citationHan, B., Ma, Y., Coghlan, S., McKay, D., Buchanan, G., & Smith, W. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790360 · Cited by 3 · see citing works
From avoidance to adoption: strategies for integrating AI in higher education contexts
Gerard, J., Hadi, M. U., Natsheh, B. R. R., Singh, M., & Reid, A. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1869723
- Authors
- Williamson, B.
- Corresponding author
- Williamson, Ben
- ORCID
- Williamson, Ben
- Venue
- Rethinking Pedagogy for a Digital Age
- Publisher
- Routledge
- Published
- 2019-06-21
- Pages
- 212-226
- OpenAlex
- W2953526465
- Cited by
- 62
- References
- 1
- Citations by year
- 2026: 14 · 2025: 19 · 2024: 9 · 2023: 6 · 2022: 4 · 2021: 6 · 2020: 4
- FWCI
- 10.44
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Digital Education and Society
- Social Sciences › Political Science and International Relations › Global Educational Policies and Reforms
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- datafication, education, data power, epistemology of data, pedagogy, course program, data ethics, data regulation, educational technology, marketization of education, learning analytics
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