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Mathematics big knowledge graph testing system and method in self-adaptive learning

A technology of self-adaptive learning and knowledge map, applied in the field of large mathematical knowledge map test system in self-adaptive learning, can solve problems such as inaccurate judgment, different cognition of knowledge system, and inability to trace back knowledge points that have not been mastered, etc., to achieve Improving efficiency, funding learning and efficient effects

Inactive Publication Date: 2019-07-12
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with this judgment method is that different teachers have different cognitions of the knowledge system due to their different teaching experience and abilities, resulting in inaccurate judgments on the students' mastery of the knowledge system based on the answer sheet
Existing teaching methods cannot trace the knowledge points that have not been mastered and find the root of the problem

Method used

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  • Mathematics big knowledge graph testing system and method in self-adaptive learning
  • Mathematics big knowledge graph testing system and method in self-adaptive learning
  • Mathematics big knowledge graph testing system and method in self-adaptive learning

Examples

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Embodiment 1

[0019] A test system for large mathematical knowledge graphs in adaptive learning, which includes: a storage module 1, a composition module 2, a test module 3, an operation module 4, a judgment module 5 and a logic module 6.

[0020] The storage module 1 is used to classify and store the low-difficulty test questions and high-difficulty test questions of each knowledge point; the composition module 2 is used to store the pre-relationships and post-relationships between knowledge points, and automatically generate knowledge point maps; the test module 3 It is used to push its test questions to the user port 7 according to the knowledge points to be tested; the calculation module 4 is used to receive the answer feedback output by the user port 7, and calculate and output the judgment value based on the answer feedback and the pre-stored formula; the judgment module 5 is used for Read the judgment value, and output the judgment result of whether the student has mastered the knowle...

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Abstract

The invention discloses a mathematics big knowledge graph testing system and a mathematics big knowledge graph testing method in self-adaptive learning. The method comprises the following steps: S1, dividing testing questions corresponding to knowledge points into low-difficulty testing questions and high-difficulty testing questions; S2, serially connecting all the knowledge points to form a knowledge point graph; S3, selecting to-be-tested knowledge points from the knowledge point graph; S4, pushing the testing questions with different difficulties for a plurality of times aiming at the selected to-be-tested knowledge points, judging that whether students master the current knowledge points or not according to fed-back answers, if not, skipping to S5, and if so, skipping to S6; S5, finding out whether front knowledge points exist in the current knowledge points or not according to the knowledge point graph, if so, skipping to S3, replacing the front knowledge points with to-be-testedknowledge points, otherwise, skipping to S6; and S6, skipping to S3, and re-selecting the to-be-tested knowledge points. With the system and the method, the mastering condition of the students for the knowledge points can be objectively and accurately detected according to question answering, and the not mastered knowledge points are traced till the root of the problem is found.

Description

technical field [0001] The invention belongs to the technical field of online education, and specifically relates to a system and method for testing large mathematics knowledge graphs in self-adaptive learning. Background technique [0002] In traditional education and teaching, teachers will construct a knowledge system in their minds based on the syllabus of the Education Commission. At the same time, the teacher analyzes the students' mastery of the knowledge points according to the students' answers to the test. The problem with this judgment method is that different teachers have different cognitions of the knowledge system due to their different teaching experience and abilities, resulting in inaccurate judgments on students' mastery of the knowledge system based on the answer sheet. For example, when students answer the same question incorrectly, how to judge whether they have not mastered the knowledge points involved in the question at all or only partially mastere...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09B7/02G09B7/04G06Q50/20
CPCG06Q50/205G09B7/02G09B7/04
Inventor 崔炜宁艳敏付密
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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