THE INTELLIGENT SYSTEM FOR SELF-STUDY OF MATHEMATICS

Abstract

Abstract: The forced transition to ubiquitous distance learning forces the authors of digital educational resources to reconsider approaches to the creation of training tools. At the same time, one of the main tasks of developers is the quality of the developed digital resources and their effectiveness for the learning process. When creating a digital learning center, it is necessary to take into account the characteristics of students of the digital generation. The article substantiates approaches to changes in the didactic requirements for the COR to increase the effectiveness of independent teaching of mathematics.

DER are no longer auxiliary, but the main learning tools. The main idea of their creation lies in a non-linear, multivariant format of the content of educational information, which allows for meeting the personalized needs of students. It is possible to transform DER from a mental approach; a multidimensional constructional approach; an «inverted» format of educational information; gamification.

The aim of the work is to study machine learning models for optimal implementation of approaches to creating a learning system based on artificial intelligence. The developed system will contribute to improving the efficiency of teaching mathematics, ensuring the quality of education in both offline and online forms of education. The basic principles of the development of an intelligent self-learning system for teaching the solution of mathematical problems and the control of residual knowledge of students are considered.

A mental approach; a multidimensional constructive approach; the use of an «inverted» format of educational information; gamification contribute to the creation of training tools of a new architecture and the unification of their structure. The use of the approaches discussed in the article in the creation of the DCS will allow taking into account and observing the principle of individualization of learning, which is important in distance learning.

The proposed approaches allow you to develop intelligent systems with maximum consideration of the characteristics of Generation Z, aimed at personalized self-study at home. The paper presents sketch examples of creating e-learning tools according to the considered approaches.

Keywords: mental approach, transformer textbook, inverted textbook, computational primitive, mental schemes, gamification.