Data ecosystems in education: opportunities and challenges

Editorial of the Special Issue

Authors

DOI:

https://doi.org/10.21556/edutec.2023.86.3071

Keywords:

datification of education, agency, data, digital education, edtech

Abstract

The integration of ecosystems that promote the massive use of data and the large-scale processing of this data into educational processes represent an unprecedented social challenge. This change, which we could consider paradigmatic, has been promoted by various factors which mutually magnify each other's effects.

In recent years the massive collection and storage of data has intensified through ubiquitous technologies, which co-exist with human actors. In addition, we have witnessed an increase in the intentional processing power of this data at a speed unimaginable a few years ago (through the application of Artificial Intelligence, hereafter AI) . This has turned many aspects of our lives into data, from which value is extracted by third parties through processes of datafication. Concurrently, the public at large - including the educational sector - has been promised educational 'personalisation', a concept derived directly from other industrial production scenarios where AI is already in use, and every experience is datafied. In addition, a rapidly growing economic sector - the EdTech industry - has emerged with a capacity to monetise the educational sphere at a global level, extracting not only profits from its present and future actions with private or institutional clients, but also generating income based on capturing the motivation of their users and achieving significant levels of social and political influence. All of the above is magnified by the proliferation of the use of online platforms and tools in educational spaces (such as learning analytics and online exam proctoring), accelerated by the demand for online educaiton resulting from 'lockdowns' during the CoVid-19 pandemic.

This special issue aims to bring together articles that problematise the challenges and unintended effects that new mechanisms and dynamics fuelled by these data-driven technologies have introduced into education. This call aims to encourage researchers and practitioners to share studies, research, debates and academically well-founded reflections that propose critical visions. This aims to provide those who are interested in education (either as teachers, academic faculty, researchers or managers ) deeper analyses, to allow us to understand the current educational and technological landscape, and to foster a revaluation of relevant educational issues that should be part of our work in the coming years.

Downloads

Download data is not yet available.

Author Biographies

Linda Castañeda, University of Murcia (Spain)

Professor of Educational Technology in the Department of Didactics and School Organisation at the University of Murcia. She is a member of the Educational Technology Research Group. https://www.lindacastaneda.com

Lesley Gourlay, University College London (United Kingdom)

Professor of Education in the department of Culture, Communication and Media, institute of Educaiton, University College London. She is a Leverhulme Trust Major Research Fellow, researching 'The Datafied University: Documentation and Performativity in Digitised Education'.  https://iris.ucl.ac.uk/iris/browse/profile?upi=LJGOU86

References

Atenas, J., Havemann, L., & Timmermann, C. (2020). Critical literacies for a datafied society: Academic development and curriculum design in higher education. Research in Learning Technology, 28. https://doi.org/10.25304/rlt.v28.2468

Birch, K., & Cochrane, D. T. (2022). Big Tech: Four Emerging Forms of Digital Rentiership. Science as Culture, 31(1), 44–58. https://doi.org/10.1080/09505431.2021.1932794

Castañeda, L., Haba-Ortuño, I., Villar-Onrubia, D., Marín, V. I., Tur, G., Ruipérez-Valiente, J. A., & Wasson, B. (2024). Developing the DALI Data Literacy Framework for critical citizenry. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), Article 1. https://doi.org/10.5944/ried.27.1.37773

Flensburg, S., & Lomborg, S. (2023). Datafication research: Mapping the field for a future agenda. New Media & Society, 25(6), 1451–1469. https://doi.org/10.1177/14614448211046616

Gourlay, L. (2021). There Is No 'Virtual Learning': The Materiality of Digital Education. Journal of New Approaches in Educational Research, 10(1), 1–10. https://doi.org/10.7821/ naer.2021.1.649

Gourlay, L. (2022). Surveillance and Datafication in Higher Education: Documentation of the Human. Postdigital Science and Education. https://doi.org/10.1007/s42438-022-00352-x

Hayes, A., & Cheng, J. (2020). Datafication of epistemic equality: Advancing understandings of teaching excellence beyond benchmarked performativity. Teaching in Higher Education, 25(4), 493–509. https://doi.org/10.1080/13562517.2019.1689387

Holloway, J. (2020). Teacher accountability, datafication and evaluation: A case for reimagining schooling. Education Policy Analysis Archives, 28, 56. https://doi.org/10.14507/epaa.28.5026

Holmes, W., Persson, J., Chounta, I.-A., Wasson, B., & Dimitriova, V. (2022). Artificial intelligence and education—A critical view through the lens of human rights, democracy and the rule of law (F-67075 Strsbourg Cedex). Council of Europe. https://en.dl-servi.com/product/artificial-intelligence-and-education-a-critical-view-through-the-lens-of-human-rights-democracy-and-the-rule-of-law

Komljenovic, J. (2021). The rise of education rentiers: Digital platforms, digital data and rents. Learning, Media and Technology, 46(3), 320–332. https://doi.org/10.1080/17439884.2021.1891422

Lewis, S., Holloway, J., & Lingard, B. (2022). Emergent developments in the datafication and digitalization of education. In F. Rizvi, B. Lingard, & R. Rinne (Eds.), Reimagining Globalization and Education (1st ed., pp. 62–78). Routledge. https://doi.org/10.4324/9781003207528

Macgilchrist, F. (2021). Theories of Postdigital Heterogeneity: Implications for Research on Education and Datafication. Postdigital Science and Education, 3(3), 660–667. https://doi.org/10.1007/s42438-021-00232-w

Pangrazio, L. (2022). Mapping Data Flows in the Home: A Scoping Review (Digital Child Working Paper 202207). ARC Centre of Excellence for the Digital Child. https://www.digitalchild.org.au/workingpapers/mapping-data-flows-in-the-home-a-scoping-review/

Selwyn, N., & Gašević, D. (2020). The datafication of higher education: Discussing the promises and problems. Teaching in Higher Education, 25(4), 527–540. https://doi.org/10.1080/13562517.2019.1689388

Williamson, B. (2017). Big Data in Education: The digital future of learning, policy and practice. SAGE Publications, Inc.

Williamson, B., Gulson, K., Perrotta, C., & Witzenberger, K. (2022). Amazon and the New Global Connective Architectures of Education Governance. Harvard Educational Review, 92, 231–256. https://doi.org/10.17763/1943-5045-92.2.231

Published

21-12-2023

How to Cite

Castañeda, L., & Gourlay, L. (2023). Data ecosystems in education: opportunities and challenges: Editorial of the Special Issue. Edutec, Revista Electrónica De Tecnología Educativa, (86), 1–5. https://doi.org/10.21556/edutec.2023.86.3071

Issue

Section

Special Issue: Data ecosystems in education: opportunities and challenges