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Cited by 584

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Looking beyond learning: notes towards the critical study of educational technology

Selwyn, N.·2010·Journal of Computer Assisted Learning

Abstract

This paper makes a case for academic research and writing that looks beyond the learning potential of technology and, instead, seeks to develop social scientific accounts of the often compromised and constrained realities of education technology use ‘on the ground’. The paper discusses how this ‘critical’ approach differs from the ways that educational technology scholarship has tended to be pursued to date. These differences include viewing technology as being socially constructed and negotiated rather than imbued with pre‐determined characteristics; developing objective and realistic accounts of technology use in situ; and producing ‘context rich’ analyses of the social conflicts and politics that underpin the use of technology in educational settings. The paper concludes by encouraging academic researchers and writers to show greater interest in the issues of democracy and social justice that surround educational technology.

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Registry

Crossref · 10.1111/j.1365-2729.2009.00338.x

Cites

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Metadata

Authors
Selwyn, N.
Venue
Journal of Computer Assisted Learning
Publisher
Wiley
Published
2010-01-12
Volume
26
Issue
1
Pages
65-73
ISSN
  • 0266-4909 (ISSN-L)
  • 1365-2729
OpenAlex
W1544541994
Cited by
584
References
14
FWCI
57.83
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Looking beyond learning: notes towards the critical study of educational technology. https://app.cochat.ai/papers/10.1111/j.1365-2729.2009.00338.x
The paper
Selwyn, N. (2010). Looking beyond learning: notes towards the critical study of educational technology. Journal of Computer Assisted Learning. https://doi.org/10.1111/j.1365-2729.2009.00338.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.