Choice of information tools for learning under modern challenges

Abstract

The study addresses the problem of selecting information and communication tools for learning under conditions of rapid digital transformation in science and education. It justifies the need for a systematic, multi-criteria decision-making approach and defines a model for rational selection of educational technologies. Based on a comparative analysis of existing methods, the analytic hierarchy process is identified as the most flexible framework for evaluating digital learning tools. A criteria-based decision model and algorithm are developed and implemented as a spreadsheet-based decision support system for selecting online educational platforms. The proposed approach is adaptable, practically applicable across educational institutions, and supports digital transformation while accounting for evolving technologies, formats, and user needs.