পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| অনুশীলন বক্ররেখা (অনুশীলনের শক্তি সূত্র)× | লার্নিং অ্যানালিটিক্স× | |
|---|---|---|
| ক্ষেত্র | শিক্ষা বিশ্লেষণ | শিক্ষা বিশ্লেষণ |
| পরিবার≠ | Regression model | Process / pipeline |
| উদ্ভবের বছর≠ | 1936 | 2011 |
| প্রবর্তক≠ | Theodore Wright | George Siemens & Phil Long |
| ধরন≠ | Power-law regression model | data-driven educational process pipeline |
| মৌলিক উৎস≠ | 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 ↗ |
| অপর নাম | Power Law of Practice, Experience Curve, Wright's Law, Öğrenme Eğrisi | Educational Data Mining, Academic Analytics, Learning Data Analytics, Öğrenme Analitiği |
| সম্পর্কিত | 3 | 3 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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