CN112396891A - Self-adaptive online occupation training platform based on artificial intelligence - Google Patents
Self-adaptive online occupation training platform based on artificial intelligence Download PDFInfo
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- CN112396891A CN112396891A CN202011083616.1A CN202011083616A CN112396891A CN 112396891 A CN112396891 A CN 112396891A CN 202011083616 A CN202011083616 A CN 202011083616A CN 112396891 A CN112396891 A CN 112396891A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
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Abstract
The self-adaptive online vocational training platform based on artificial intelligence comprises a user side and a background control side; the user side comprises two parts of online learning and online question making; the online learning part comprises a knowledge map generation module, a learning behavior collection module and an individual learning guide generation module; the background control end comprises a learning video input module, a learning data input module, a relevant exercise input module and a knowledge map dividing module. The device mainly starts from the concept conversation of self-adaptive learning, adjusts the use condition of a user at any time through artificial intelligence real-time calculation, and pushes different knowledge points to improve the learning efficiency of learners. And constructing accurate knowledge graphs for different users and requirements.
Description
Technical Field
The invention relates to an artificial intelligence-based self-adaptive online occupation training platform.
Background
With the development of the market, the demands of on-line education for employees and students are greatly increased, but the traditional on-line education platform cannot meet the demands of people at the present stage.
In order to compete for the market, the traditional training enterprises have the continuous innovation and continuous upgrading intentions, and the maximum benefit is expected to be obtained by improving the personnel efficiency, improving the training quality and reducing the cost through informatization transformation.
For training the users of the receiving users, the pain points of the users are that the training institutions still cannot obtain one-to-one training and customized services, and the users do not have the same qualitative change for improving the learning of the users.
Based on the two points, a cloud product is expected to be manufactured on the market at present so as to achieve the goal of mutual win.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an artificial intelligence-based adaptive online vocational training platform.
An adaptive online occupation training platform based on artificial intelligence comprises a user side and a background control side.
The user side comprises two parts of online learning and online question making.
The online learning part comprises a knowledge graph generating module, a learning behavior collecting module and an individual learning guide generating module.
The knowledge graph generation module is used for dividing the learning content into each knowledge point and forming a knowledge graph by seeking association among the knowledge points. The steps can be completed manually or by artificial intelligence, and are continuously improved in the using process of the cloud platform.
The learning behavior collection module comprises a system input part and a real-time monitoring part, wherein the system input part forms a user portrait for the student by collecting the learning behavior of the student on the system, and the user portrait comprises personal preference interest, learning style, cognitive characteristics, capability level and mastering of knowledge state; the real-time monitoring part further supplements the user images by collecting different reaction abilities, judgment abilities and special attention of the user in each time period in a real-time shooting mode, a recording mode and the like, so that the learning state of the user and the learning abilities in different time periods are mastered, for example, most people learn the best state in 10 minutes after learning, and at the moment, some difficult knowledge points can be pushed, so that the difficult knowledge points can be rapidly mastered.
And the online question making part carries out artificial intelligence algorithm research and deep excavation on user questions, particularly wrong questions, and finds weak knowledge points of the users, so that error-prone knowledge points and related questions of the users are intelligently pushed to the users. An exclusive learning model is established for the user, customized learning planning and training are provided, and the user is helped to plan the learning process more reasonably. Thereby realizing the purpose of teaching according to the factors and popularizing the personalized education.
The background control end comprises a learning video input module, a learning data input module, a relevant exercise input module and a knowledge map dividing module.
The background control end can divide knowledge points and knowledge maps of all questions, videos and data.
Preferably, the knowledge graph generating module includes a content system and system macro information, the content system includes test content and teaching content, and the system macro information includes a learning objective, a knowledge system, a teaching outline and an outline.
Has the advantages that:
the device mainly starts from the concept conversation of self-adaptive learning, adjusts the use condition of a user at any time through artificial intelligence real-time calculation, and pushes different knowledge points to improve the learning efficiency of learners. And constructing accurate knowledge graphs for different users and requirements.
Drawings
FIG. 1 is a schematic structural diagram of an online learning part in an adaptive online vocational training platform based on artificial intelligence.
Detailed Description
For the purpose of enhancing understanding of the present invention, the present invention will be further described in detail with reference to the following examples, which are provided for illustration only and are not to be construed as limiting the scope of the present invention.
The self-adaptive online vocational training platform based on artificial intelligence comprises a user side and a background control side; the user side comprises two parts of online learning and online question making;
as shown in fig. 1, the online learning part comprises a knowledge graph generating module, a learning behavior collecting module and an individual learning guide generating module; in fig. 1, a knowledge map generation module, a learning behavior collection module, and an individual learning guide generation module are respectively arranged from top to bottom.
The background control end comprises a learning video input module, a learning data input module, a relevant exercise input module and a knowledge map division module.
The knowledge graph generation module comprises a content system and system macro information, wherein the content system comprises test content and teaching content, and the system macro information comprises a learning target, a knowledge system, a teaching outline and an examinee.
The learning behavior collection module comprises a system input part and a real-time monitoring part.
The user side functions are mainly used for on-line learning and on-line problem making of users, artificial intelligence algorithm research and deep mining are carried out on the user problem making, particularly wrong problems, weak knowledge points of the users are found, and therefore error-prone knowledge points and related problems of the users are intelligently pushed to the users. An exclusive learning model is established for the user, customized learning planning and training are provided, and the user is helped to plan the learning process more reasonably. Thereby realizing the purpose of teaching according to the factors and popularizing the personalized education.
The background control end is mainly used for inputting learning videos, learning materials and places of questions and dividing knowledge points and knowledge maps of all the questions, videos and materials.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (3)
1. The self-adaptive online vocational training platform based on artificial intelligence is characterized by comprising a user side and a background control side; the user side comprises two parts of online learning and online question making; the online learning part comprises a knowledge map generation module, a learning behavior collection module and an individual learning guide generation module; the background control end comprises a learning video input module, a learning data input module, a relevant exercise input module and a knowledge map dividing module.
2. The adaptive online vocational training platform based on artificial intelligence as claimed in claim 1, wherein the knowledge graph generating module comprises a content system and system macro information, the content system comprises test content and teaching content, and the system macro information comprises learning objectives, a knowledge system, a teaching outline and an examinee.
3. The adaptive online vocational training platform based on artificial intelligence of claim 1, wherein the learning behavior collection module comprises a system input part and a real-time monitoring part.
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