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Goal driven learning point and learning path recommendation method based on mapping knowledge domain

A technology of knowledge graph and learning path, applied in data processing applications, instruments, computing, etc., can solve problems such as complex data and difficulty for learners to learn resources, and achieve the effect of rich learning resources, improving learning efficiency, and uneven quality

Inactive Publication Date: 2017-07-28
HAINAN UNIVERSITY
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AI Technical Summary

Problems solved by technology

At present, the problem faced by online learning is that the online data is huge and complex, making it difficult for learners to quickly find learning resources suitable for them

Method used

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  • Goal driven learning point and learning path recommendation method based on mapping knowledge domain
  • Goal driven learning point and learning path recommendation method based on mapping knowledge domain

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Experimental program
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Embodiment Construction

[0033] A specific implementation scheme of a goal-driven learning point and learning path recommendation method based on knowledge graphs is as follows:

[0034] Step 1). Construct the corresponding directional learning point knowledge map, scientifically and objectively reflect the internal knowledge association in the knowledge system, store all the knowledge points in an array knowledgePoint[N], and store the learning path in an array bestPath[P] storage;

[0035] Step 2). Establish a learner model, assuming that the knowledge points that learners can grasp per unit of energy within units are fixed, and mark the weight of each node on the knowledge map as the time and time required for learners to acquire corresponding knowledge points measure of effort expended;

[0036] Step 3). Obtain the learner's current learning progress and learning goals, mark the learned knowledge with red on the knowledge map, mark the target knowledge points with green, and store the learner's t...

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Abstract

The invention provides a goal driven learning point and learning path recommendation method based on a mapping knowledge domain and belongs to the field of distributed computation and software engineering technology crossing. The method mainly aims at enabling a learner to obtain most efficient learning guidance by spending least time and vigor (it is assumed that time and vigor are evenly distributed, and knowledge obtained in unit time and vigor is identical) and enabling the learner to avoid knowledge not needing to be learnt and only spend time and vigor on unknown or unskilled knowledge. Firstly, a knowledge system map of a corresponding subject is established according to existing resources, the current learning status of the learner and the learning goal needing to achieve finally are acquired, learnt knowledge points and non-learnt knowledge points of the learner and the time and vigor of the learner spent on each knowledge point are marked on the mapping knowledge domain, and weights are used for showing. By means of a path selection algorithm, the knowledge points needing to be learnt and efficient learning strategies are recommended to the learner.

Description

technical field [0001] The invention is a goal-driven learning point and learning path recommendation method based on knowledge graph. It is mainly used to enable learners to spend the least time and energy (assuming that time and energy are evenly distributed, and the knowledge gained per unit of time and energy is as much) to obtain the most efficient learning guidance, so that learners can avoid unnecessary knowledge and only use it in the Spend time and energy on knowledge that is not or is not proficient, and belongs to the interdisciplinary field of distributed computing and software engineering technology. Background technique [0002] With the development of the knowledge economy, today's society has put forward higher requirements for people's knowledge mastery. In the intelligent teaching system, the selection of suitable learning points to recommend to learners and the recommendation and optimization of personalized learning paths have become important topics. At...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/20
CPCG06F16/367
Inventor 段玉聪邵礼旭
Owner HAINAN UNIVERSITY
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