The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Learning analytics: drivers, developments and challenges
Abstract
Learning analytics is a significant area of technology-enhanced learning that has emerged during the last decade. This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns. It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Finally, it examines developing areas of learning analytics research, and identifies a series of future challenges.
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Cites
Gephi: An Open Source Software for Exploring and Manipulating Networks
Bastian, M., Heymann, S., & Jacomy, M. (2009) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v3i1.13937 · Cited by 11,675
An introduction to latent semantic analysis
Landauer, T. K., Foltz, P. W., & Laham, D. (1998) · Discourse Processes · doi:10.1080/01638539809545028 · Cited by 4,880
Cited by
The current landscape of learning analytics in higher education
Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.027 · Cited by 766
A reference model for learning analytics
Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012) · International Journal of Technology Enhanced Learning · doi:10.1504/ijtel.2012.051815 · Cited by 702
Stephanidis, C., Salvendy, G., Antona, M., Chen, J. Y. C., Dong, J., Duffy, V. G., Fang, X., Fidopiastis, C., Fragomeni, G., Fu, L. P., et al. (2019) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2019.1619259 · Cited by 524
Identifying significant indicators using LMS data to predict course achievement in online learning
You, J. W. (2016) · The Internet and Higher Education · doi:10.1016/j.iheduc.2015.11.003 · Cited by 388
Features students really expect from learning analytics
Schumacher, C., & Ifenthaler, D. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.030 · Cited by 319
Metadata
- Authors
- Ferguson, R.
- Venue
- International Journal of Technology Enhanced Learning
- Publisher
- Inderscience Publishers
- Published
- 2012
- Volume
- 4
- Issue
- 5/6
- Pages
- 304
- ISSN
- 1753-5255 (ISSN-L)
- 1753-5263
- OpenAlex
- W2086235321
- Cited by
- 1,354
- References
- 2
- FWCI
- 77.73
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
