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A student knowledge system analysis system based on daily homework

An analysis system and technology for students, applied in the field of student knowledge system analysis system, can solve problems such as students unable to prepare test questions, difficult knowledge reinforcement, etc., to achieve the effect of permanent memory, improve learning, and reduce consumption.

Inactive Publication Date: 2019-05-10
山东仁博信息科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The system involves a comment module and a wrong question sharing module, which can play a certain role in students' review and knowledge strengthening, but it is still the traditional mode of students doing questions first and then commenting, which cannot actively provide feedback based on students' current knowledge. Students prepare test questions. When reviewing, students can only do question data based on historical data. They cannot actively discover their own knowledge weaknesses, and it is difficult to achieve targeted knowledge enhancement.

Method used

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  • A student knowledge system analysis system based on daily homework
  • A student knowledge system analysis system based on daily homework
  • A student knowledge system analysis system based on daily homework

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] The present invention provides such Figure 1-3 The shown a kind of student knowledge system analysis system based on daily work includes a data processing device 1, and the outside of the data processing device 1 is connected with a voice player 11 and a touch screen 12 through a communication cable, and the data processing device 1 The surface is provided with a password verification module 13, and the connection end of the data processing device 1 is respectively provided with a test question knowledge base storage module 2, an operation quality collection module 3, an individual knowledge system generation module 4 and a test question push module 5, and the data processing device 1 A numerical control server 6 is provided at the output end, and a database 7 is connected to the outer side of the numerical control server 6 through an Ethernet transmission cable, and a data calculation module 8 is provided at the output end of the numerical control server 6 .

[0029] ...

Embodiment 2

[0036] The homework quality collection module 2 includes semester options 21, subject options 22, test question options 23 and answer options 24, and the homework quality collection module 2 is hierarchically represented in a tree structure according to knowledge points.

[0037] The individual knowledge system generation module 4 gradually builds an individualized and differentiated knowledge system for each student based on the students' daily homework behavior. Big data analysis technology actively pushes practice questions to students.

[0038] As attached to the manual Figure 5 : The knowledge points of the job quality acquisition module 2 are represented hierarchically according to the tree structure, and can be divided into four levels at most. Each test question can contain multiple knowledge points, such as the knowledge point of friction in physics, which is expressed as mechanics-force analysis 2 Force balance-friction force, each knowledge point is accompanied by...

Embodiment 3

[0044] The database 7 is connected to the numerical control server 6, and the numerical control server 6 is connected to Ethernet and obtains big learning data of students of corresponding age groups through Ethernet. The database 7 is used to store historical data of different students.

[0045] Described data computation module 8 comprises vectorization algorithm, clustering algorithm and recommendation algorithm, and described vectorization algorithm is according to the student's learning data, and students' knowledge point grasping situation is scored; Described clustering algorithm is used for many points according to The near and far relationships are aggregated into many clusters; the recommendation algorithm is used to continuously strengthen the weak points of students' knowledge, and the best effect can be obtained with the least effort.

[0046] Beneficial effects of this embodiment: the data calculation module 8 includes a vectorization algorithm, a clustering algor...

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Abstract

The invention discloses a student knowledge system analysis system based on daily homework. The system comprises a data processing device, a voice player and a touch screen are connected to the outerside of the data processing device through communication cables, a password verification module is arranged on the surface of the data processing device, and a test question knowledge base storage module, an operation quality collection module, an individual knowledge system generation module and a test question pushing module are arranged at the connecting end of the data processing device. The system is provided with an operation quality acquisition module and an individual knowledge system generation module. The homework quality collection module collects answering conditions of students toquestions through a plurality of ways. Therefore, the individual knowledge system generation module can gradually build an individualized and differentiated knowledge system for each student based ondaily homework behaviors of the students, establish an exclusive knowledge system for each student, and specially guide for the deficiency of each student, thereby effectively improving the learningand reviewing efficiency of the students and performing knowledge reinforcement in a targeted manner.

Description

technical field [0001] The invention relates to the fields of computer information and education, in particular to a student knowledge system analysis system based on daily operations. Background technique [0002] In order to achieve good grades, students need to clarify the various knowledge points in the textbook and do a lot of exercises for each knowledge point. Therefore, a lot of daily homework needs to be completed during the learning process. However, limited by the level of students and teachers, it is difficult for students to clearly understand the relationship between the topic and knowledge points in the process of doing the questions, and it is also difficult for ordinary teachers to provide specialized guidance for each student's shortcomings. [0003] Patent CN108256751A proposes an online teaching process evaluation method based on big data, including data acquisition, data mining and model building, and its goal is to predict whether students fail in lear...

Claims

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Application Information

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IPC IPC(8): G06F16/20G06Q50/20G09B7/00
Inventor 季节张津浩周喆直葛操陈思瑾胡健
Owner 山东仁博信息科技股份有限公司
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