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Teaching system based on big data

A teaching system and big data technology, applied in the field of big data, can solve the problems of students' learning ability gap, teachers' inability to manage their learning situation, and students' learning quality decline.

Active Publication Date: 2021-10-22
INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the traditional teaching method is that the teacher teaches collectively, the teacher lectures on the podium, and the students listen to the lectures off the stage. However, due to the gap in the learning ability of some students, the teacher cannot effectively manage the learning status of all students, which may lead to The learning quality of some students declined, and the learning efficiency became lower;

Method used

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  • Teaching system based on big data
  • Teaching system based on big data
  • Teaching system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] This embodiment provides a teaching system based on big data, such as figure 1 As shown, including:

[0062] Data acquisition module for obtaining knowledge data maps of students;

[0063] Data analysis module, for analyzing the knowledge data map based on large data, and determines the teaching methods corresponding to each student;

[0064] The data adjustment module is used to detect the learning quality of each student in the preset time period, and adjust the teaching method according to the learning quality to complete the teaching method to form a suitable target teaching method for each student.

[0065] In this embodiment, the knowledge data map is used to represent the relationship between the respective data and the respective knowledge points included in each metader knowledge point.

[0066] In this embodiment, the preset time period is set in advance, and may be, for example, a week, two weeks, etc.

[0067] In this embodiment, the learning quality refers to t...

Embodiment 2

[0070] Based on the above-described Embodiment 1, this embodiment provides a teaching system based on big data, such as figure 2 The data acquisition module, including:

[0071] Data acquisition units are used to obtain historical learning datasets in the field of knowledge, of which the historical learning data set includes training data and test data;

[0072] Model build unit for testing the depth learning model based on the test data, based on the test data, and obtains test results;

[0073] The first determination unit is used to compare the test results with the preset test results;

[0074] The map construction unit is used to obtain target data for constructing knowledge maps in the field of knowledge field when the test results meet the target requirements of the preset test results, and to construct the knowledge map based on the depth learning model. The target data of the knowledge map is extracted to obtain data extraction results;

[0075] The pattern constructing u...

Embodiment 3

[0084] Based on the above-described Embodiment 2, the present embodiment provides a teaching system based on large data, and the map construction unit, further comprising:

[0085] The map update unit is used to obtain the knowledge data map of the build completed, and the data of each node corresponding to each node in the knowledge data map and the attribute value of the data is determined based on the preset rules;

[0086] The map update unit is further configured to generate at least one update data in accordance with the attribute value of the data within the preset time period, and update the data corresponding to each node in the knowledge data map according to the update data, and Get the target update data;

[0087] The map update unit is also used to obtain a preset reasoning rule based on the target update data, wherein the preset reasoning rule is a rule that generates a reasoning knowledge map propulsion according to the target update data;

[0088] The map update un...

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Abstract

The invention provides a teaching system based on big data, and the system comprises a data obtaining module which is used for obtaining a knowledge data graph of a student; a data analysis module which is used for analyzing the knowledge data graph based on big data and determining a teaching method corresponding to each student; and a data adjustment module which is used for detecting the learning quality of each student under the corresponding teaching method in a preset time period and adjusting the teaching method according to the learning quality so as to formulate a proper target teaching method for each student. Through knowledge data graph analysis, a proper teaching method is formulated for each student, the learning efficiency and the learning quality of the students are improved, the defects existing in the teaching method are overcome, and meanwhile the teaching efficiency is also improved.

Description

Technical field [0001] The present invention relates to the field of large data technology, and more particularly to a teaching system based on large data. Background technique [0002] At present, the traditional teaching method is the teacher collective teaching. Teachers speak on the podium. Students listen to the platform, but due to some of the students 'learning ability, the teacher can't effectively manage all students' learning, which can lead to Some classmates decline in the quality of learning, and the learning efficiency is low; [0003] Accordingly, the present invention provides a teaching system based on big data to analyze the knowledge data map, realizing a suitable teaching method for each student, improving students' learning efficiency and learning quality, and improving the disadvantages in teaching methods. And also improved teaching efficiency. Inventive content [0004] The present invention provides a teaching system based on big data to achieve a suitab...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/23G06F16/35G06Q50/20
CPCG06F16/367G06F16/35G06F16/23G06Q50/205
Inventor 周慧周亚
Owner INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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