Method for obtaining prediction model of knowledge points of text-type education resources and model application method

Abstract

The invention relates to a method for obtaining a prediction model of knowledge points of text-type education resources. The method comprises the following steps: on the basis of a big-data analysis method, designing a wholly-new characteristic engineering; after collecting the text-type education resources with enough quantity, analyzing the contents and the related knowledge points of the text-type education resources, forming a learning model, optimizing gradually and perfecting prediction; newly defining the selecting and optimizing process of the characteristic, and integrating transformation between specific formulas and related contents, thereby obtaining the prediction model of the knowledge points of the text-type education resources. The invention also discloses an application method for the prediction model of the knowledge points of the text-type education resources. On the basis of the prediction model of the knowledge points of the text-type education resources designed by the invention, the prediction of the knowledge points to which to-be-predicted text-type education resources belong can be effectively carried out by the contents of the text-type education resources, the prediction process is stable and effective and the accuracy of the prediction result is high.

Description

technical field [0001] The invention relates to a method for obtaining a knowledge point prediction model of text-based educational resources and a model application method, and belongs to the technical field of intelligent knowledge point prediction application. Background technique [0002] In the Internet application of online learning, the question bank part is the core part of the resources. The knowledge points contained in the text-based educational resources in the online question bank are the basic units of the entire online learning system. However, the labeling of the knowledge points in the question bank requires relatively high The knowledge threshold requires professional personnel to carry out relevant training to complete, which is very time-consuming, and there are often problems in accuracy, which affects the user experience and becomes a great technical barrier in the collection, entry and use of the question bank. Moreover, in the existing technology, the...

AI Technical Summary

Problems solved by technology

[0002] In the Internet application of online learning, the question bank part is the core part of the resources. The knowledge points contained in the text-based educational resources in the online question bank are the basic units of the entire online learning system. However, the labeling of the knowledge points in the question bank requires relatively high The knowledge threshold requires professional personnel to carry out relevant training to complete, which is very time-consuming, and there are often problems in accuracy, which affects the user experience and becomes a great technical barrier in the collection, entry and use of the question bank

Moreover, in the existing technology, there is no customized analysis for the document of the question bank type, and the existing mature solutions do not perform well on this type of data, and the relationship between formulas and words and the relationship between words and words are not fully integrated into the system.

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