Learning Analytics Method
Learning analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts for the purposes of understanding and optimizing learning and the environments in which it occurs. Emerging as a distinct field around 2011, and consolidated through the work of George Siemens, Ryan Baker, and the Society for Learning Analytics Research, it is methodologically a pipeline: learner trace data are gathered from digital environments, integrated, modeled to detect patterns and predict outcomes, and then fed back to learners, instructors, and institutions to inform action.
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Sources
- Baker, R. S. J. d., & Inventado, P. S. (2014). Educational Data Mining and Learning Analytics. In J. A. Larusson & B. White (Eds.), Learning Analytics: From Research to Practice (pp. 61–75). Springer. DOI: 10.1007/978-1-4614-3305-7_4 ↗
- Siemens, G., & Baker, R. S. J. d. (2014). The Journal of Learning Analytics: Supporting and promoting learning analytics research. Journal of Learning Analytics, 1(1), 1–6. DOI: 10.18608/jla.2014.11.2 ↗
How to cite this page
ScholarGate. (2026, June 22). Learning Analytics: Measurement, Modeling, and Feedback on Learning Data. ScholarGate. https://scholargate.app/en/education/learning-analytics-method
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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- Educational Growth Curve ModelingEducation↔ compare
- Learning AnalyticsEducation Analytics↔ compare
- Opportunity to Learn AnalysisEducation↔ compare