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Learning system and method of customized reconstructed knowledge system

A technology of learning system and knowledge, applied in the field of learning system of personalized reconstructed knowledge system, can solve the problems of not being able to fully stimulate learners' learning enthusiasm, lack of links, and inability to truly achieve personalized learning, so as to stimulate independent learning interest Effect

Active Publication Date: 2018-12-07
长春市天育软件科技有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This has caused many companies and groups to conduct training through the online learning system, and the teaching effect is not significant, because the learning status of the learners cannot be accurately grasped, and personalized learning cannot be truly achieved
[0004] Disadvantages of the existing technology: (1) The learning efficiency of learners is extremely low
(2) Missing links in the learning process
Although this application can establish a learning growth model for learners, it is relatively simple and fixed, and cannot fully stimulate learners' enthusiasm for learning

Method used

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  • Learning system and method of customized reconstructed knowledge system
  • Learning system and method of customized reconstructed knowledge system
  • Learning system and method of customized reconstructed knowledge system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Such as figure 1 As shown, a personalized reconstruction knowledge system learning system includes a learner information base 100 , an independent learning module 110 , an assessment / learning module 120 , a professional knowledge database 130 , a big data analysis module 140 and an expert database 150 .

[0049] The learner information base 100 is used to store the registration information of the learner, and the registration information includes at least one of the learner's personal data, learning progress, professional knowledge topological structure completeness, and making and adjusting a personalized learning plan. The learning plan is adjusted and formulated by the big data analysis module 140 through scientific calculations based on the data information provided by the learner's previous autonomous learning module 110 and assessment / learning module 120, according to learning rules and universal cognition rules.

[0050] The autonomous learning module 110 is used...

Embodiment 2

[0062] Such as figure 2 As shown, step 200 is executed, and the learner logs in the self-learning module through the learning interface. Executing step 210, the learner chooses a post role autonomously or randomly. Execute step 220. The learner selects keywords, uses the logical ideas of "association type", "recent association" and "one-sentence knowledge point" provided by the system, and initially establishes a personalized knowledge framework through the personalized learning plan formulated by the system. Steps 230 and 240 are executed sequentially, and learners start to learn independently, and build a personalized knowledge topology independently according to their own way of thinking, preferences, and interests. Executing step 250, the learner enters the assessment / learning module to check the completeness of the self-constructed knowledge topology, and judges whether the assessment is passed based on the feedback information of the big data system. If the assessment...

Embodiment 3

[0064] This example provides a learning system that realizes personalized reconstruction of knowledge system through AI assistance, which can effectively improve the learning efficiency of modern people and cultivate independent thinking ability and learning ability. The present invention is universal, and the present invention will be described below by taking the professional knowledge of "railway locomotive specialty" as an example.

[0065] In order to achieve the above purpose, the following technical solution is adopted: a learning system that realizes personalized reconstruction of the knowledge system through AI assistance, and the learning system includes an autonomous learning system, an assessment / learning system, a professional knowledge database, a big data analysis system, Learner information database, expert database and other components.

[0066] The core part of the present invention is professional knowledge database and big data analysis system.

[0067] Pr...

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Abstract

The invention provides a learning system and method of a customized reconstructed knowledge system. The learning system comprises an autonomous learning module, a big data analysis module for making and / or adjusting customized learning schemes of different learners, and a professional knowledge database, and 2D calculation is carried out via an adaptive fuzzy algorithm of the big data analysis module in the form of the knowledge information database to establish the professional knowledge database satisfying the knowledge system of work and cognition rules. Via the learning system and method,big data analysis is used in the learning process of a user, the professional knowledge structural system is constructed autonomously, the learning ability of learners is cultivated unconsciously, theautonomous learning interest of the learner is excited, and the learner can cultivate the capabilities of autonomous thinking and learning at the same time.

Description

technical field [0001] The invention relates to the technical field of network education, in particular to a learning system and method for personalized reconstructed knowledge system. Background technique [0002] With the explosive development of information technology, people's learning methods and approaches are also quietly changing. With the increasing attention and recognition of micro-classes and MOOCs, online courses and online learning have become emerging learning approaches. However, although the existing online learning system breaks through the limitations of time and space, a large amount of knowledge is provided to learners, and learners can freely study according to their own preferences and time arrangements, basically realizing personalized learning. However, with the wide recognition and widespread use of the online learning system by the public, its defects and deficiencies are gradually revealed. The main flaw is that the current online learning does n...

Claims

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Application Information

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IPC IPC(8): G09B7/02G09B5/08
CPCG09B5/08G09B7/02
Inventor 王学明尹凤伟姜彬峰王颜明单小磊孟静李秀春马学超李景峰田明
Owner 长春市天育软件科技有限责任公司
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