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Intelligent Teaching System Based on Bayesian Knowledge Tracking Model

A tracking model and teaching system technology, applied in the field of intelligent teaching system, can solve problems such as multi-knowledge point training modeling, untrainable essay questions and fill-in-the-blank question scoring, etc., to achieve the effect of accurate mastery

Active Publication Date: 2020-11-17
上海健坤教育科技有限公司
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide an intelligent teaching system based on the Bayesian knowledge tracking model, which solves the problem that the current technology cannot carry out training modeling of multiple knowledge points of the topic, and currently only Multiple-choice questions are scored in two states of 0 and 1, and it is impossible to score in two states other than 0 and 1 for the training essay questions and fill-in-the-blank questions

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  • Intelligent Teaching System Based on Bayesian Knowledge Tracking Model
  • Intelligent Teaching System Based on Bayesian Knowledge Tracking Model
  • Intelligent Teaching System Based on Bayesian Knowledge Tracking Model

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Embodiment Construction

[0051] In order to fully disclose the content of the present invention, before describing the specific embodiments of the present invention, first illustrate the principle of standard Bayesian tracking model:

[0052] The basic principle block diagram of the Bayesian knowledge tracking model is as follows: figure 2 As shown, BKT divides the knowledge system that students need to learn into several knowledge points, and the knowledge status of students is expressed as a set of binary variables, each binary variable indicates whether one of the knowledge points has been mastered, that is, students are in the " One of the two states of "know this knowledge point" and "don't know this knowledge point", which is a representation of the student's knowledge state as a set of hidden variables, and the hidden variables are updated by the correctness of the students' answers to the questions distribution probability.

[0053] Embodiment 1 in practical application of the present inventio...

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Abstract

The invention discloses a Bayesian knowledge tracking model-based intelligent teaching system, and belongs to the technical field of online education. The Bayesian knowledge tracking model-based intelligent teaching system comprises a teaching content knowledge point extraction and annotation model, a Bayesian model parameter training model, a teaching content knowledge point mastery degree determination module and an automatic teaching content recommendation module. The Bayesian knowledge tracking model-based intelligent teaching system trains question answer data of a student in real time and trains various question type answer values; a trained subject comprise multiple knowledge points; the knowledge point mastery degree of the student is forecast more accurately by using the relevancyof the multiple knowledge points of the subject and the trained model.

Description

technical field [0001] The invention relates to an intelligent teaching system based on a Bayesian knowledge tracking model, and belongs to the technical field of online education. Background technique [0002] At present, based on the Bayesian knowledge tracking model, it is mainly for training and modeling of a single knowledge point of a topic, and it is impossible to carry out training modeling of multiple knowledge points for a topic, and the scoring value of the input training can only be 0 or 1. In addition, the actual questions often contain a lot of knowledge points, and the types of questions include multiple-choice questions, fill-in-the-blank and essay questions. However, at present, only 0 and 1 can be scored for the training multiple-choice questions, and it is impossible to evaluate the training essay questions and fill-in-the-blank questions. Score the two states that are not 0 and 1. Contents of the invention [0003] The technical problem to be solved by...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G09B7/02G09B5/02G09B19/00G06Q50/20
CPCG06Q50/20G09B5/02G09B7/02G09B19/00
Inventor 刘冬冬郝飞卢家义
Owner 上海健坤教育科技有限公司
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