Learning style portrait generation method and system based on learning growth data

Abstract

The invention discloses a learning style portrait generation method and system based on learning growth data. The method comprises the following steps of: collecting learning growth data, wherein the learning growth data comprises user attribute data and multi-dimensional user behavior data which are acquired from a plurality of data sources; characterizing the learning growth data to obtain a user behavior characterization matrix; inputting the user behavior representation matrix into a pre-trained user feature extraction model, wherein the user feature extraction model is based on a neural network and is used for outputting a user behavior feature vector matrix; and multiplying the user behavior feature vector matrix by a learning feature vector, and taking the multiplied matrix as a user learning style portrait. The multi-dimensional user behavior data can be obtained by using multiple data sources, so that the accuracy and comprehensiveness of the learner portrait are improved, and scientific education decision, individuation of learning modes, humanization of teaching management and comprehensiveness of an evaluation system are driven.

Description

technical field [0001] The invention belongs to the technical field of educational information technology, and more specifically relates to a method and system for generating learning style portraits based on learning growth data. Background technique [0002] With the advent of the era of big data, user portrait technology has been widely used. User portrait technology is to profile users and label their information. User portrait technology can help companies quickly find broader feedback information such as user groups and user needs. In addition, the development of user portrait technology has also had a lot of impact on the field of education. Accurate learning diagnosis based on big data, personalized learning analysis and intelligent decision-making analysis support have improved the quality of education and helped teachers grasp the real learning situation of students. . [0003] In the existing user portrait technology, learners cannot understand the state of sel...

AI Technical Summary

Problems solved by technology

[0003] In the existing user portrait technology, learners cannot understand the state of self-learning from the objective data in their own learning process, so as to clarify the situation of self-learning

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