The invention relates to the technical field of reasoning models, in particular to an adaptive teaching
system based on
learning behavior analysis, which comprises a learning focusing behavior description module, an operation section interference identification module, a behavior offset section identification module, a teaching node jump path construction module and a teaching task
configuration generation module. According to the method, time sequences of operation behaviors are divided, path change features are extracted, a behavior focusing fragment and interference node set is constructed, a path fracture position is identified by combining a jump direction and an offset action, and a jump path is generated according to a
label repetition frequency and a non-present node matching relation. Task styles, resource presentation
modes and interaction process contents are extracted, a task distribution structure between nodes is constructed, the path structure reduction capability and the task content cooperation capability are enhanced, and smooth task node connection and coherent content pushing are guaranteed under the scenes of frequent skipping of learning behaviors and disordered path sequence; and the coordination efficiency of the teaching process on the scheduling response of the behavior change is improved.