Human-Computer Collaboration Empowering the Teaching of Public Finance in Higher Education

Abstract

In the digital wave, artificial intelligence (AI) technology has profoundly influenced higher education. The human-computer collaborative teaching model has brought new opportunities for the Public Finance course. Public Finance has highly abstract theories and strong practicality, and traditional teaching has limitations. In contrast, AI technology has advantages in data processing and analysis, such as constructing personalized learning profiles for students and automatically grading and evaluating assignments, which are complementary to teachers' advantages. In teaching practice, before class, AI pushes preview resources according to students' situations and analyzes learning conditions to assist teachers in lesson preparation. During class, teachers guide discussions, AI intelligent teaching assistants provide knowledge support and discussion feedback, and students interact with the help of intelligent devices. After class, AI generates personalized assignments and tests and provides tutoring, while teachers answer questions for students with learning difficulties. However, there are difficulties in practice, such as teachers' insufficient AI application ability and the need to optimize the teaching evaluation system. These can be resolved by providing training, building platforms, and innovating the evaluation system. The human-computer collaborative teaching model has transformed Public Finance teaching and will promote its maturity and improvement.