The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Tools for Educational Data Mining: A Review
Open accessAbstract
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will highlight the utility that these tools have with respect to common data preprocessing and analysis steps in a typical research project as well as more descriptive information such as price point and user-friendliness. We will also highlight niche tools in the field, such as those used for Bayesian knowledge tracing (BKT), data visualization, text analysis, and social network analysis. Finally, we will discuss the importance of familiarizing oneself with multiple tools—a data analysis toolbox—for the practice of EDM/LA research.
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Tausczik, Y. R., & Pennebaker, J. W. (2010) · Journal of Language and Social Psychology · doi:10.1177/0261927x09351676 · Cited by 5,774
Blei, D. M. (2012) · Communications of the ACM · doi:10.1145/2133806.2133826 · Cited by 5,516
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
Knowledge tracing: Modeling the acquisition of procedural knowledge
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Educational Data Mining: A review of the state of the art
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NLTK: The Natural Language Toolkit
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Cited by
Educational data mining and learning analytics: An updated survey
Romero, C., & Ventura, S. (2020) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1355 · Cited by 1,120
Fernandes, E., Holanda, M., Victorino, M., Borges, V., Carvalho, R., & Erven, G. V. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2018.02.012 · Cited by 316
Big data and data science: a critical review of issues for educational research.
Daniel, B. K. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12595 · Cited by 220
AI and the Future of Learning: Expert Panel Report
Roschelle, J., Lester, J., & Fusco, J. (2020) · doi:10.51388/20.500.12265/106 · Cited by 76
Dobashi, K., Ho, C. P., Fulford, C. P., Grace Lin, M.-F., & Higa, C. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100105 · Cited by 35
Metadata
- Authors
- Slater, S., Joksimović, S., Kovanovic, V., Baker, R. S., & Gasevic, D.
- Venue
- Journal of Educational and Behavioral Statistics
- Published
- 2016-09-24
- Volume
- 42
- Issue
- 1
- Pages
- 85-106
- ISSN
- 1076-9986 (ISSN-L)
- 1935-1054
- OpenAlex
- W2521491036
- Cited by
- 184
- References
- 7
- FWCI
- 27.26
- Type
- journal article
- Language
- en
- Open access
- green
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