RESEARCH OF AN INNOVATIVE MODEL OF TEACHING IDEOLOGICAL AND POLITICAL DISCIPLINES IN UNIVERSITIES BASED ON HUMAN-MACHINE INTERACTION

Wang Jing, He Bing, Yu Lin, Li Jinni

The purpose of the article is to develop a model for teaching ideological and political disciplines based on human-machine interaction. To achieve this goal, the following tasks were set: 1) to identify applicable AI technologies; 2) to develop a model for a digital student profile; 3) to test machine learning tools and chatbots; 4) to evaluate the effectiveness of AI in ideological and political education. The methods used were a pedagogical experiment (comparison of groups), questionnaires, and analysis of activity on the platform. The results obtained confirmed the high demand for the tools and the effectiveness of the dashboard for teachers.

Keywords:artificial intelligence, education, teaching model, technology, university, student