IntroductionThis paper proposes an integrated model of student digital profiling based on multisource educational data. The aim of the model is to improve the accuracy of predicting academic performance and learning risks. Unlike traditional approaches that rely on a limited set of academic indicators, the proposed model integrates academic, research, social, and behavioral characteristics to form a holistic representation of learning activity.MethodsThe methodological framework includes semanti
An integrated model for digital student profiling based on multisource educational data
Mira Rakhimzhanova
