Intellectual Support of the Students’ ResearchActivities in Mathematics: Experimental Verification of Effectiveness A Hybrid Learning System

Abstract

The research is devoted to the study of the phenomenon of research activity, as well as the search for effective didactic mechanisms for its development. The most promising direction of activating the research activities of trainees is proposed ― the development of learning systems based on artificial intelligence methods. This tool is notable for its flexible interface, the ability to adapt to the unique characteristics of each user and focus on their cognitive capabilities. In addition, it makes it possible to create parametric models of students, taking into account their individual level of cognitive development, as well as to differentiate educational material. The authors developed a hybrid intelligent learning system to support students’ research activities and introduced it into the practice of teaching mathematics. In this regard, the problem of verifying the effectiveness of the functioning of this system with innovative organizational and methodological support has been updated. The effectiveness was tested on the basis of the developed parameters of scientific potential, reflecting the specifics of research activities in the field of mathematics (personal, activity, communicative, effective), using the module of a hybrid intelligent learning system. The audit established statistically significant dynamics for all the studied indicators.