System and method for predicting learning effect based on user online learning behavior mode

Abstract

The invention provides a system for predicting a learning effect based on a user online learning behavior mode. The system comprises a learning behavior information acquisition module, a learning efficiency calculation module, a learning behavior mode calculation module, a learning ability-motivation calculation module and a learning effect prediction module. The learning behavior information acquisition module correspondingly acquires user learning behavior information and user basic information. The learning efficiency calculation module generates a learning efficiency matrix of the user according to the learning behavior information of the user in different types of online courses. The learning behavior pattern calculation module generates user classification information and learning behavior pattern information of a user. The learning ability-motivation calculation module generates learning ability information and learning motivation information of the user in online course learning. And the learning effect prediction module predicts the learning effect of the user in online course learning. The invention further provides a prediction method adopting the system for predicting the learning effect of the user in different types of online courses.

Description

technical field [0001] The present invention relates to the technical field of online learning, in particular to a system and a prediction method for predicting learning effects based on user online learning behavior patterns. Background technique [0002] In today's age of rapid technological advancement, online learning is gaining in popularity. In the prior art, based on the user's learning behavior information in massive open online courses, the research on analyzing and mining the user's learning behavior pattern mainly includes: identifying the user's participation style; classifying the user's participation style; predicting the dropout rate, predicting Whether to obtain a certificate and identify users who need assistance. Overall, the existing research can be divided into two categories, one is the qualitative analysis of user learning activities, and the other is building models to predict user learning effects. A large number of behaviors and basic features are ...

AI Technical Summary

Problems solved by technology

[0016] Judging from the current research status, based on the learning behavior information of users in massive open online courses, the learning behavior patterns of users can be understood in order to improve the learning efficiency of users and the educational effect of massive open online courses. It only focuses on the qualitative analysis of user learning activities and the construction of models to predict the user's learning effect; however, the existing research on learning behavior patterns has not fully considered and utilized the user's learning motivation and learning ability, nor has it considered the learning effects of different types of courses difference between

[0017] In the current research on large-scale online courses, there is a learning activity matrix based on the user's learning behavior information combined with an attribute matrix constructed by the user's basic information, and a potential dynamic factor model is constructed using an improved logic prediction algorithm to predict learning efficiency. The user's learning ability and learning motivation in the course learning are not considered. The user's learning ability and learning motivation in the course learning often affect the user's learning behavior and learning effect in the course learning; There will be different participation modes in different types of course learning. Users will have different participation modes due to the teaching of the course or their own learning skills in different types of course learning, which will also affect the user's learning behavior and learning result

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