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| Кривата на учене (Закон за степента на практиката)× | Анализ на обучението× | |
|---|---|---|
| Област | Образователна аналитика | Образователна аналитика |
| Семейство≠ | Regression model | Process / pipeline |
| Година на възникване≠ | 1936 | 2011 |
| Създател≠ | Theodore Wright | George Siemens & Phil Long |
| Тип≠ | Power-law regression model | data-driven educational process pipeline |
| Основополагащ източник≠ | Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122–128. DOI ↗ | Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30–40. link ↗ |
| Други названия | Power Law of Practice, Experience Curve, Wright's Law, Öğrenme Eğrisi | Educational Data Mining, Academic Analytics, Learning Data Analytics, Öğrenme Analitiği |
| Свързани | 3 | 3 |
| Резюме≠ | The learning curve models how performance improves predictably as cumulative experience accumulates. Formalized by Theodore Wright in 1936 using aircraft manufacturing data, it expresses the relationship between the number of practice trials (or production units) and the time or cost per unit as a power-law function. It is widely applied in educational psychology, industrial engineering, health professions training, and human factors research whenever repeated task execution is the mechanism of skill acquisition. | Learning Analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, with the purpose of understanding and optimizing learning and the environments in which it occurs. Formally introduced by George Siemens and Phil Long in 2011, the approach draws on data generated in digital learning environments to provide educators, institutions, and learners with evidence-based feedback for improving educational outcomes. |
| ScholarGateНабор от данни ↗ |
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