Knowledge and skill dynamic diagnosis method oriented to space-time evolution

Abstract

The invention belongs to the field of education data mining, and provides a knowledge and skill dynamic diagnosis method oriented to space-time evolution. The method comprises the following steps of: firstly, constructing a knowledge heterogeneous graph according to resource characteristics, and then dynamically updating the knowledge and skill state of a learner in time and space dimensions, therefore, the future performance of the learner is predicted, and the knowledge mastering condition of the learner is diagnosed. According to the method, a big data technology, deep learning and a natural language processing technology are comprehensively utilized, knowledge points of a learner are modeled from time and space, the knowledge state of the learner is influenced by introducing learning features and forgetting features, and a knowledge structure of the learner is updated by providing space-time cascade operation, the knowledge and skills of the learner can be diagnosed scientifically and comprehensively, future performance of the learner can be predicted, personalized recommendation practice can be performed on knowledge points with low skill mastery, and personalized teaching can be performed on knowledge points with poor performance in the future.

Description

Technical field [0001] The present invention belongs to the field of education data mining, and the intelligent diagnostic task of the degree of knowledge skills in the field of education data mining is provided, providing a dynamic diagnosis method for time and space evolution. [0002] technical background [0003] The main task of dynamic skill diagnosis methods is based on learners' historical learning records, dynamically diagnose learners' knowledge points to meet the skills of learning learners last night and forecast learners' future reactions. In recent years, with the increasing popularity of online education platforms such as intelligent guide system and MOOC network, dynamic skill diagnostic technology plays a challenging task. [0004] However, traditional dynamic skill diagnosis is mainly based on the learner's historical answering questions, but ignores the relationship between test questions and test questions, knowledge points and test questions, knowledge points ...

AI Technical Summary

Problems solved by technology

These studies have improved the accuracy of skill diagnosis to a certain extent, but have ignored the forgetting and learning factors of learners in the learning process, and also ignored that graph updating is a dynamic updating process.

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