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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출처
- 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 ↗
이 페이지 인용 방법
ScholarGate. (2026, June 22). Learning Analytics: Measurement, Modeling, and Feedback on Learning Data. ScholarGate. https://scholargate.app/ko/education/learning-analytics-method
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이 방법을 가장 가까운 동류의 방법들과 나란히 놓고 비교해 보세요 — 라이브러리는 책을 펼쳐 놓을 뿐, 선택은 여러분의 몫입니다.
- 콘텐츠 분석질적 방법↔ 비교
- Educational Growth Curve ModelingEducation↔ 비교
- 학습 분석교육 분석학↔ 비교
- Opportunity to Learn AnalysisEducation↔ 비교