The invention discloses a self-organizing learning path optimization method and
system based on
learning behavior mining, and relates to the field of path optimizing.The self-organizing learning path optimization method based on
learning behavior mining comprises the following steps that S1, data are collected, and a
library is built; s2, presetting a judgment benchmark, dividing the data to remove redundancy, and integrating to form a
data set; s3, preprocessing the
data set, extracting core features by using an
algorithm through differentiation, and constructing a double-dynamic model in combination with a
library; s4, formulating a path criterion, and optimizing to obtain a multi-version push reference and path
adaptation range; s5, calling the path candidate set, and generating a personalized self-organizing learning path candidate scheme; s6, implementing the candidate scheme, and collecting data in real time and integrating to form double reports; and S7, a threshold value is preset to judge double reports. According to the invention, through full-period multi-dimensional
learning data acquisition and hierarchical cognitive archive
library construction, targeted extraction of learning
adaptation rhythm and scene
adaptation habits is realized.