The Application of Neural Networks in the University Educational Process

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Buryat State University on the topic “The Influence of the Teacher on Student Activi-ty”. The results have been evaluated both by a university lecturer and by the Chinese neural network DeepSeek. The analysis has been conducted according to the follow-ing criteria: topic coverage, writing style, and punctuation and spelling errors. The ar-ticle has demonstrated that artificial intelligence, particularly large language models, can analyze educational materials and student work according to specific criteria; however, at present, the quality of evaluation does not match that of a human asses-sor. The article also outlines prospects for applying large language models in the educational process.

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Neural networks, large language models, educational process, educational texts, automated assessment of learning materials

Короткий адрес: https://sciup.org/148331876

IDR: 148331876   |   УДК: 371:004.4   |   DOI: 10.18101/2307-3330-2025-2-74-82