The Application, Dilemma and Optimization Path of Agent Technology in College Classroom Teaching

Abstract

With the continuous advancement of education digitization strategy and the maturity of generative artificial intelligence technology, the classroom teaching reform in colleges and universities has obtained new technical support. There are many inherent shortcomings in the traditional teaching mode. AI agents with the ability of dynamic interaction and independent decision-making can effectively make up for the shortcomings of traditional teaching and become an important tool for innovating classroom teaching forms. Based on the teaching practice of colleges and universities, this paper combs the classroom application value and practical path of AI agent, and summarizes the practical problems such as weak adaptability of technical scene, deviation of education orientation, and insufficient digital application ability of teachers and students. Based on the law of higher education development and the logic of technology application, this paper puts forward optimization strategies from the dimensions of technology iterative optimization, teaching ecological integration, long-term mechanism construction and digital literacy cultivation of teachers and students, aiming to promote the standardization and deep integration of AI agents into the teaching system of colleges and universities, and provide practical reference for the construction of high-quality digital intelligence education in colleges and universities.