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Multivariate intelligent education method and system

An intelligent and diverse technology, applied in the field of multimedia teaching, can solve the problems of lack of analysis and effective personalized feedback mechanism, improve performance, poor learning effect, etc., achieve good online learning effect, improve performance, alleviate the effect of unfairness

Pending Publication Date: 2019-11-19
北京羽实箫恩信息技术股份有限公司 +1
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Problems solved by technology

[0005] Aiming at the above-mentioned technical problems in related technologies, the present invention proposes a multiple intelligence education method and system to solve the problems of poor learning effect and inability to effectively help weak students improve their grades caused by the lack of a framework for analyzing effective personalized feedback mechanisms

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  • Multivariate intelligent education method and system
  • Multivariate intelligent education method and system
  • Multivariate intelligent education method and system

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0055] Human cognitive load is limited. Cognitive load can be divided into three categories: internal cognitive load, external cognitive load and associated cognitive load. The process of learning is to transform learning materials into internal cognitive load. At the same time, try to maximize the associated cognitive load to construct the schema.

[0056] Based on the cognitive load theory, the effect, potential problems, and solutions of interleaved learning are theoretically analyzed, and...

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Abstract

The invention discloses a multivariate intelligent education method and a multivariate intelligent education system. The method comprises the following steps: calculating online learning data throughan implicit Markov model, and obtaining a weak knowledge link; initializing a knowledge graph, identifying the weak knowledge link, and updating the knowledge graph in real time by using a Bayesian method; formulating corresponding learning interaction strategies according to the different weak knowledge links, searching priori knowledge points corresponding to the weak knowledge links by the knowledge graphs, and constructing a cross feedback queue; according to the cross feedback queue, performing personalized feedback, evaluating a test result; according to the test result, obtaining a newweak knowledge link again to generate a new feedback sequence. The beneficial effects of the invention are that the method can achieve a good online learning effect, effectively helps weak students toimprove the score, and alleviates the unfairness of education.

Description

technical field [0001] The present invention relates to the technical field of multimedia teaching, in particular to a multiple intelligence education method and system. Background technique [0002] Personalized feedback strategy is the main way to teach students according to their aptitude, and it is also an important part of intelligent online education. Effective personalized feedback is crucial to intelligent systems. However, existing research on personalized feedback focuses on accurate feedback of weak knowledge links , there is basically no attention to the combination of effective teaching strategies and personalized feedback, so the effectiveness of the current personalized learning methods, and even the learning system of the entire online education is still controversial. More and more evidence in practice shows that the current intelligent The design of online education has not produced the expected effect, and the effectiveness of intelligent online education ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20G06F16/332G06F16/338G06F16/36
CPCG06Q50/205G06F16/3329G06F16/367G06F16/338
Inventor 夏磊
Owner 北京羽实箫恩信息技术股份有限公司
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