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Bayesian knowledge tracking model-based intelligent teaching system

A technology of tracking models and teaching systems, applied in the field of intelligent teaching systems, can solve problems such as training and modeling of multi-knowledge points that cannot be trained, essay questions that cannot be trained, and scoring of fill-in-the-blank questions, and achieve the effect of accurate mastery

Active Publication Date: 2019-04-09
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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  • Bayesian knowledge tracking model-based intelligent teaching system
  • Bayesian knowledge tracking model-based intelligent teaching system
  • Bayesian knowledge tracking model-based intelligent teaching system

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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 way to express the student's knowledge state as a set of hidden variables, and update the hidden variables through the correctness of the students' answers to the questions probability distribution.

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

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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 not possible to carry out training modeling of multiple knowledge points for a topic, and the scoring value of the input training can only be in two states of 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 prob...

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Application Information

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Patent Type & Authority Applications(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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