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Cited by 1,075

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Learning analytics and educational data mining: towards communication and collaboration

Siemens, George, Baker, Ryan S. J. d.·2012·Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
DOI 10.1145/2330601.2330661
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Abstract

Growing interest in data and analytics in education, teaching, and learning raises the priority for increased, high-quality research into the models, methods, technologies, and impact of analytics. Two research communities -- Educational Data Mining (EDM) and Learning Analytics and Knowledge (LAK) have developed separately to address this need. This paper argues for increased and formal communication and collaboration between these communities in order to share research, methods, and tools for data mining and analysis in the service of developing both LAK and EDM fields.

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Metadata

Authors
Siemens, G., & Baker, R. S. J. D.
Venue
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Publisher
ACM
Published
2012-04-29
Pages
252-254
DOI
10.1145/2330601.2330661
OpenAlex
W2078482049
Cited by
1,075
References
5
FWCI
31.20
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Learning analytics and educational data mining: towards communication and collaboration. https://app.cochat.ai/papers/10.1145/2330601.2330661
The paper
Siemens, G., & Baker, R. S. J. D. (2012). Learning analytics and educational data mining: towards communication and collaboration. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. https://doi.org/10.1145/2330601.2330661

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.