Application of artificial intelligence and neural network technologies in mathematics and science education

Le résumé fourni par la source

This paper identifies the advantages and disadvantages of the subject-methodological and organizational-didactic potential of artificial-intelligence and neural network-technologies (AI-technologies and neural networks). It examines the risks and challenges associated with the implementation of these technologies in the educational process and analyzes the specifics of their application in mathematics and science education. A list of AI-based applications, services, platforms, and programs used in mathematics and science education is provided, along with a didactic model for the formation and development of the subject-digital culture of undergraduate pedagogical students. Using examples of specific tasks solved using AI-tools, the conditions for the productive use of the subject-methodological and organizational-didactic potential of AI-technologies and neural networks in the teaching of mathematics and computer science are determined. Prospects for using AI-tools as auxiliary organizational-didactic tools used by teachers and students in their daily activities are outlined.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.