Chatbot for automated testing of students' knowledge

Abstract

This article discusses the development and implementation of a Telegram-based chatbot designed to automate student knowledge testing and improve learning outcomes. Using natural language processing (NLP) technology and machine learning, the chatbot simplifies the administration of tests, provides real-time feedback to students, and generates detailed analytics for teachers. It examines key issues with traditional assessment methods, such as inefficiency in manual grading, delayed feedback, and difficulties in identifying learning gaps.

Обосновывается актуальность применения информационно-коммуникационных технологий на занятиях по английскому языку, рассматриваются ресурсы сети Интернет применимые для обучения английскому языку студентов естественно-научных специальностей.