ScholarGate
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Process / pipelineField & applied educational research

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

  1. 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
  2. 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

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Referenced by

ScholarGateLearning Analytics Method (Learning Analytics: Measurement, Modeling, and Feedback on Learning Data). Retrieved 2026-06-24 from https://scholargate.app/en/education/learning-analytics-method · Dataset: https://doi.org/10.5281/zenodo.20539026