MODERN MODELS AND METHODS FOR TESTING STUDENTS’ COMPUTATIONAL THINKING

Abstract

The purpose of the research is to develop an integrative diagnostic method for computational thinking. The author proposes a model of computational thinking in the form of a tensor product, criteria of its components development, and identifies and characterizes its integrative levels. Research methods included analysis of scientific literature and pedagogical experience (including the author’s personal experience), modeling, qualimetry methods, ascertaining experiment, expert assessment method and sociometric methods. Methodological foundations of the research are the competence approach (considers computational thinking as a target for personal and professional development and as a meta-competence integrating relevant knowledge, skills and personal experience), the systems approach (considers computational thinking as a symbiosis of mathematical thinking and information competence, as well as the relationship of computational thinking with other competencies), the qualimetric approach (proclaims the need for multicriteria testing of computational thinking).