G. A. Chaikin

Methods for discovering patterns based on cluster analysis and big data of secondary education institutions

Context and relevance. The digitalization of education generates large volumes of learning-activity data containing patterns inaccessible to traditional statistical methods limited to aggregated performance indicators. Deep learning can extract latent patterns from data structure. Objective. To develop and compare stud...