Knowledge tracking method integrating learning process and difficulty features of question knowledge points

A technology that integrates learning and knowledge points. It is applied in the field of educational information mining and can solve problems such as affecting the quality of personalized learning services and affecting the accuracy of learner models.

Active Publication Date: 2022-07-22
YUNNAN NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The judgment of the mastery level of knowledge affects the accuracy of the learner

Method used

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  • Knowledge tracking method integrating learning process and difficulty features of question knowledge points
  • Knowledge tracking method integrating learning process and difficulty features of question knowledge points
  • Knowledge tracking method integrating learning process and difficulty features of question knowledge points

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Experimental program
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Embodiment Construction

[0046] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0047] Step1: Collect the data of the learner's answering questions from the learning system. The answering data must contain the start time of the question (the time can be a common date and time or a timestamp), the time of the question (in seconds), the learner's identification, the question Involved knowledge points (knowledge point name or knowledge point identification), topic identification and correct and incorrect information (you can distinguish between correct and incorrect), for example:

[0048]

[0049] Step 2: Clean the collected data. If there are missing items in the 6 items required by the collected data, delete this data.

[0050] Step3: Arrange the cleaned data in Step2 in ascending order according to the starting time of the questions.

[0051] Step4: Calculate the relative difficulty of the knowledge points involved in t...

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PUM

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Abstract

The invention relates to a knowledge tracking method integrating a learning process and difficulty features of question knowledge points, and belongs to the technical field of education information mining. The method comprises the following steps: firstly, collecting question answering data of a learner, retaining information such as question answering starting time, question answering time, learner identification, knowledge points related to the questions, question identification and correct and wrong labels of each question in the data, preprocessing the data, and then calculating relative difficulty of each question according to the corresponding knowledge points; and then generating and storing an answer condition data sequence, and finally inputting the stored data sequence into the deep neural network model, and predicting the subsequent answer condition of the learner, namely predicting the mastering condition of the learner on the knowledge points related to the question.

Description

technical field [0001] The invention relates to a knowledge tracking method that integrates the learning process and the difficulty characteristics of topic knowledge points, and belongs to the technical field of educational information mining. Background technique [0002] Knowledge tracking refers to judging the knowledge level of the learner according to the current situation of the learner, so as to predict the performance of the learner in the future learning. The core goal of learners in the learning process is to memorize, understand, and master knowledge, and to be able to make value judgments on knowledge. The judgment of the mastery level of knowledge affects the accuracy of the learner model, and further affects the quality of the personalized learning service received. Some researchers propose to formalize the task of knowledge tracking as: predicting the performance of the next interaction behavior on the learner's interaction sequence. Today, with the continu...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/20G06F16/215G06F16/2458G06N3/08G09B7/00
CPCG06Q10/04G06Q50/205G06F16/215G06F16/2462G06N3/08G09B7/00
Inventor 王俊甘健侯刘金生吴迪李子杰谢昊徐博
Owner YUNNAN NORMAL UNIV
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