The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
MOOCs and the funnel of participation
Abstract
Massive Online Open Courses (MOOCs) are growing substantially in numbers, and also in interest from the educational community. MOOCs offer particular challenges for what is becoming accepted as mainstream practice in learning analytics.
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Citations
Cites
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Power-Law Distributions in Empirical Data
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009) · SIAM Review · doi:10.1137/070710111 · Cited by 8,019
Power-law distributions in empirical data
Clauset, A. J., Shalizi, C. R., & Newman, M. E. J. (2018) · Figshare · doi:10.1184/r1/6586835.v1 · Cited by 6,504
Situated learning legitimate peripheral participation
Lave, J., & Wenger-Trayner, E. (1991) · Cited by 3,479
A new dawn for citizen science
Silvertown, J. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2009.03.017 · Cited by 2,183
Making Sense of MOOCs: Musings in a Maze of Myth, Paradox and Possibility
Daniel, J. (2012) · Journal of Interactive Media in Education · doi:10.5334/2012-18 · Cited by 1,148
Course signals at Purdue: using learning analytics to increase student success
Arnold, K. E., & Pistilli, M. D. (2012) · Proceedings of the 2nd International Conference on Learning Analytics and Knowledge · doi:10.1145/2330601.2330666 · Cited by 987
(2012) · DSpace (Open University in the Netherlands) · Cited by 754
Kop, R. (2011) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v12i3.882 · Cited by 727
Cited by
van Dijck, J., Poell, T., & de Waal, M. (2018) · doi:10.1093/oso/9780190889760.001.0001 · Cited by 2,951
Exploring the factors affecting MOOC retention: A survey study
Hone, K. S., & El Said, G. R. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.03.016 · Cited by 720
Joo, Y. J., So, H.-J., & Kim, N. H. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.01.003 · Cited by 420
Attrition and Achievement Gaps in Online Learning
Kizilcec, R. F., & Halawa, S. (2015) · Proceedings of the Second (2015) ACM Conference on Learning @ Scale · doi:10.1145/2724660.2724680 · Cited by 307
“Learning latent engagement patterns of students in online courses,”
Ramesh, A., Goldwasser, D., Huang, B., Daume III, H., & Getoor, L. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v28i1.8920 · Cited by 123
Metadata
- Authors
- Clow, D.
- Venue
- Proceedings of the Third International Conference on Learning Analytics and Knowledge
- Publisher
- ACM
- Published
- 2013-04-08
- Pages
- 185-189
- OpenAlex
- W2145912399
- Cited by
- 567
- References
- 31
- FWCI
- 44.18
- Type
- conference paper
- Language
- en
- Open access
- closed
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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.
