USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR AUTOMATING THE CONDUCTING AND CHECKING OF DICTATIONS

In today's rapidly evolving world, the continuous development of knowledge and skills is essential. Accessible Internet and a variety of online platforms for distance learning allow individuals to learn throughout their lives, adapting to the changing demands of the labor market. Online educational platforms allow students to study at any time and from anywhere, which is especially important for people with limited access to traditional education due to geographic, temporal or other reasons. The introduction of artificial intelligence technologies into educational systems facilitates the automation of numerous tasks and enables structured feedback, allowing students to quickly identify and correct their mistakes. This contributes to a deeper understanding of the material and improves learning outcomes. The availability of web-oriented educational systems allows institutions to serve a large number of students simultaneously, expanding their audience without significant additional costs. This is also relevant for distance learning in cases of unexpected disruptions. This article explores how AI can automate the administration and evaluation of dictations in distance learning. The system was developed using JavaScript, Next.js, CSS, Tailwind CSS, and TypeScript, along with cloud-based solutions such as Google Cloud Storage. AI-driven technologies were incorporated, including Google Text-to-Speech for generating dictations in a natural-sounding audio format, Google Diff-Match-Patch for real-time text comparison, and Google Vertex AI for detailed feedback and error analysis. The developed system provides teachers with tools for creating, managing, and evaluating dictations. A convenient interface for working with dictations has been developed for students, including a feedback mechanism based on artificial intelligence. The developed web-oriented learning system, owing to AI integration, represents an innovative approach to personalized language learning, and also shows the potential of AI and cloud technologies in the formation of future educational practices.