ScholarGate
Assistent
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.

Ava rakenduses MethodMindPeagiRakenda, võrdle, saa juhiseid
Tööriistad ja ressursid
Laadi slaidid alla
Õpi ja avasta
VideoPeagi

Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Meetodikaart

Seotud meetodite ümbruskond — vali sõlm, et seda uurida.

Allikad

  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

Kuidas sellele lehele viidata

ScholarGate. (2026, June 22). Learning Analytics: Measurement, Modeling, and Feedback on Learning Data. ScholarGate. https://scholargate.app/et/education/learning-analytics-method

Milline meetod?

Aseta see meetod oma lähimate sugulaste kõrvale ja loe neid kõrvuti — raamatukogu laob raamatud lauale; valik on sinu.

Võrdle kõrvuti

Sellele viitavad

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