The invention discloses an intelligent teaching
system and teaching method based on a large
language model, relates to the technical field of intelligent teaching, and solves the technical problems that deep analysis and utilization of teaching data are lacked, and teaching
modes suitable for different subjects and different knowledge points are greatly different. According to the method, the input content of the teaching personnel is analyzed through the large
language model, the teaching subject content is defined, and then according to the screened and matched teaching mode, the
blindness of selecting the teaching mode only by experience traditionally is changed, the effect of evaluating the teaching mode by comprehensively considering the personnel
score and the classroom participation degree is achieved, and the teaching efficiency is improved. Teaching records in the
system are comprehensively classified in the same type, teaching
modes and subject contents are closely associated, quick retrieval and screening are facilitated, the most suitable teaching mode is recommended for teaching personnel by means of vector
cosine similarity calculation and the like, personalized teaching support is achieved, and personalized requirements of different teachers and students are met.