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Online vocational education personalized course content pushing algorithm based on big data

A vocational education and big data technology, which is applied in data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve problems such as shortages and differences in application conditions, so as to improve learning efficiency, save learning time, and improve The effect of personalized service level

Pending Publication Date: 2021-01-05
NAT UNIV OF DEFENSE TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

(2) There are many differences in application conditions
[0003] To sum up, there is currently a lack of a method that can provide refined and high-quality course resources, and at the same time, can automatically identify learning needs according to learners' characteristic information, dynamically adapt to present personalized learning activity sequences, and implement accurate content push , so as to improve students' learning efficiency and save learning time, a big data-based online vocational education personalized course content push algorithm

Method used

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  • Online vocational education personalized course content pushing algorithm based on big data
  • Online vocational education personalized course content pushing algorithm based on big data
  • Online vocational education personalized course content pushing algorithm based on big data

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Embodiment Construction

[0034] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0035] combined with figure 1 to attach image 3 , an online vocational education personalized course content push algorithm based on big data, which includes the following steps:

[0036] In the first step, based on the personalized learning of students receiving vocational education, the framework of the vocational education personalized teaching service system is constructed from four parts: the learning situation model, the professional model, the self-adaptive engine and the presentation model;

[0037] The second step is to adaptively recommend learning content, learning activity sequence and knowledge tree structure learning navigation suitable for learners according to the academic situation model and professional model, and present them on the page; at the same time, implement adaptive rules according to the learner's learning process , realize the...

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Abstract

According to the invention, refined and refined course resources can be provided, learning requirements can be automatically recognized according to feature information of learners, personalized learning activity sequences are dynamically and adaptively presented, accurate pushing of implementation content is achieved. The invention discloses an online vocational education personalized course content pushing algorithm based on big data, which can improve the learning efficiency of students and saves the learning time. The online vocational education personalized course content pushing algorithm comprises the following steps: on the basis of personalized learning of students receiving vocational education, constructing a vocational education personalized teaching service system framework byfour parts of a learning situation model, a professional model, a self-adaptive engine and a presentation model; adaptively recommending learning contents, learning activity sequences and knowledge tree structure learning navigation suitable for learners according to the learning situation model and the professional model, and presenting the learning contents, the learning activity sequences andthe knowledge tree structure learning navigation in a page; and meanwhile, modifying the learning behavior historical record of the learner, so that the learning situation model is maintained, and theaccuracy of the learning situation model is improved.

Description

technical field [0001] The invention relates to the technical field of online education, in particular to an algorithm for pushing personalized course content of online vocational education based on big data. Background technique [0002] Looking at the competition of comprehensive national strength in today's world, it is talent competition in the final analysis. Talent has increasingly become a strategic resource to promote economic and social development. The most important content in theoretical research and practice. At the same time, carrying out personalized teaching is the fundamental requirement of returning to educating people. The internal and external laws of higher education determine that higher education is to cultivate the organic unity of natural and social people, and it is a process of promoting individualization and socialization of individuals. The internal and external laws of higher education determine that the supply of higher education is actually t...

Claims

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Application Information

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IPC IPC(8): G06Q50/20G06Q10/06G06F16/9535
CPCG06Q50/205G06Q10/06393G06F16/9535
Inventor 张亚妮赵卫虎饶学军王小双任帅秦雷万靖珂王锋苏林柏
Owner NAT UNIV OF DEFENSE TECH
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