Design of a Learning Companion Agent for in - Depth Discussions among College Students

In the current era of the vigorous development of digital education, the demand for in - depth interaction in online learning among college students is becoming increasingly prominent. This paper focuses on the design of a learning - partner intelligent agent for in - depth discussions among college students. By analyzing the educational applications of intelligent agents and the current situation of online discussions, the design direction is determined based on intelligent agent technology and learning theories. It deeply analyzes the problems existing in the discussion process of college students, and constructs a learning - partner intelligent agent that includes a three - layer architecture of data, service, and user, as well as four functional modules: intelligent guidance, process supervision, problem - solving, and emotional support. The aim is to provide new ideas for optimizing the online discussion process, enabling students to achieve deep learning, improving students' learning quality, and injecting new vitality into the innovation of higher education teaching.