TEACHING MATHEMATICS TO STUDENTS OF HUMANITIES USING NEURAL NETWORKS

Kishkinova Olga Alekseevna, Cherenkova Irina Anatolevna, Tkacheva Lyubov Vladimirovna

Educational tools for processing, interpreting and teaching information are dynamically developing with the use of artificial intelligence, one of the nodes of which is neural networks. Characteristically, the algorithm is trainable, so its capabilities grow as necessary to present the material that is relevant to a particular specialty or target audience. One of the important areas requiring pedagogical development is the humanitarian profile in the context of exact sciences. Taking into account the mental activity of humanitarians, characterized by the predominance of the work of the left hemisphere of the brain responsible for creativity, the neural network is a universal means of teaching mathematics, since it includes, first of all, creative techniques for generating ideas. Moreover, the neural network promotes the activation of cognitive interest and develops the ability to ask questions correctly in order to get the required answers, and is also able to create various images, metaphors, analogies and comparisons. This contributes to the formation of a divergent type of thinking in the process of teaching mathematics, helps students of the humanities to get an explanation of a particular problem from various points of view, among which they can isolate for themselves the most understandable and relevant interpretation and explanation of solving problems and equations.

Keywords:mathematics, neural network, neural network, artificial intelligence, humanities, teaching, higher education institution