Thematic control and criteria-based assessment of foreign language writing skills using artificial intelligence technologies

This paper investigates using AI technologies (NLP, chatbots, adaptive learning systems) to automate thematic control and criteria-based assessment of foreign language writing skills, evaluating student texts for grammar, vocabulary, coherence, relevance, structure, and stylistic correctness in real-time. The study examines AI's applicability for conducting various types of educational assessment (preliminary, current, intermediate, thematic, final) with focus on automated grading and feedback provision.

Importance. Currently, there is a tendency that when teaching a foreign language, teachers are increasingly resorting to the use of artificial intelligence technologies to plan training sessions, generate educational content, as well as to conduct automated testing of formed communication skills. The monitoring of academic achievements and assessment is one of the key components of the organization of the educational process. Traditional methods of control and assessment require significant time

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