THE STATE OF THE USE OF ARTIFICAL NEURAL NETWORKS IN EDUCATION

Abstract

The direction of artificial neural networks is relatively young than the direction of science that has been developing for centuries, such as mathematics, physics, and chemistry. Due to the rapid development of Information Technologies, the demand for various intellectual programs on the part of humanity is also growing. The entire sphere of society surrounding us is moving to the use of artificial neural networks. Artificial intelligence services such as selection of ads that interest us on the internet, facial recognition, voice recognition, fingerprint recognition on smartphones, diagnosis, and text translation have come into use on a daily basis. The direction of artificial neural networks, based on the modernization of the content of Education, has been integrated into the curriculum of secondary schools of the country and has also been implemented in the educational process in grades 10-11.

Therefore, the article substantiates the history of the emergence of neural networks, the current state, and the relevance of their use in education. In addition, this article discusses the stages and prospects for the development of neural networks. To study the possibilities of developing neural networks, an analysis of scientific sources is carried out. Today, the application of neural networks in many fields of Science and technology and their potential in the field of education are considered.

Since the direction of computer science is rapidly developing and changes are made every year, it is natural that specialists are constantly in search. In order for specialists trained in higher education institutions to meet the needs of the school, appropriate changes and additions should be made to their educational programs. Therefore, depending on the replenishment of the school curriculum, the needs of teachers teaching Computer Science in relation to subject knowledge in the direction of artificial neural networks are determined. Since these needs are information that will be considered in the training of future specialists in higher education institutions, the training of future teachers of computer science is conducted experimentally on the basis of the Eurasian National University named after L. N. Gumilyov and Aktobe Regional University named after K. Zhubanov. At the same time, future computer science teachers will practice creating and implementing artificial neural networks.