The invention relates to the technical field of education services, in particular to a teaching
process optimization method based on self-adaptive cognitive feedback, and the method comprises the steps: dividing the experimental teaching content into an experimental project-level teaching
knowledge unit and a subordinate experimental step and micro-operation-level sub-
knowledge unit; the experimental behavior data is associated with the sub-knowledge units in a one-to-one correspondence manner, and multi-source behavior characteristics such as operation completion conditions, errors, correction time,
scale reading deviation, repeated demonstration times, questioning or
help seeking times and the like are aggregated in the dimensions of the sub-knowledge units; calculating individual baseline parameters on each sub-
knowledge unit for each student in combination with historical behavior data, and updating a cognitive feedback threshold interval, so that the teaching
management system can finely describe the cognitive mastering degree and the operation proficiency of the students on the specific experiment step level; therefore, the real experiment ability and weak micro-operation link distinguishing ability of students are improved.