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Customized just-in-time learning support system and method based on constructivist learning theory

A learning theory and support system technology, applied in the field of personalized knowledge recommendation, can solve the problems of complex learning content, inability to obtain users' learning interest in real time, heavy learning burden, etc.

Active Publication Date: 2015-08-26
江苏国基科技有限公司
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AI Technical Summary

Problems solved by technology

However, there are still some deficiencies in the existing learning recommendation system: ① cannot obtain the user's learning interest in real time
②Users are not very interested in recommended content
③The form of learning content is complex, resulting in a heavy learning burden and reducing users' interest in learning
④ There is no comprehensive learning plan for the user system

Method used

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  • Customized just-in-time learning support system and method based on constructivist learning theory
  • Customized just-in-time learning support system and method based on constructivist learning theory
  • Customized just-in-time learning support system and method based on constructivist learning theory

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Embodiment Construction

[0029] Each step in the present invention will be described in detail below with reference to the accompanying drawings.

[0030] Such as figure 1 As shown, the present invention provides a kind of personalized instant learning support method based on constructive learning theory, comprising the following steps:

[0031] User knowledge background analysis: analyze the user knowledge background by predicting the user group and discovering the knowledge that the user is currently concerned about. Such as figure 2 As shown, user knowledge background analysis includes the following steps:

[0032] User Group Prediction: Use Bayesian theorem to predict the user group through Weibo tags. Such as image 3 As shown, the user group prediction includes the following steps:

[0033] User gender prediction: Predict the user's gender through Weibo tags. Such as Figure 4 As shown, user gender prediction includes the following steps:

[0034] Obtain the gender and tags of a large n...

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Abstract

The present invention provides a customized just-in-time learning support system and method based on constructivist learning theory. The system comprises a user knowledge demand behavior analyzing and recording module, a label relation graph micro-knowledge base, a constructivist learning-based micro-knowledge recommendation algorithm module and the like modules. With the system according to the present invention, construction demands of knowledge are analyzed based on social networking media information of a user, and micro-knowledge for customized learning is recommended to the user, thereby quickly making up for the deficiency of knowledge for the user. The method according to the present invention, as important service content in an Internet-based social networking system, efficiently and intelligently helps a user to improve personal knowledge quality, thereby achieving good economical and social benefits.

Description

technical field [0001] The invention discloses a system and method for analyzing user knowledge needs in a social network and personalized instant knowledge recommendation, belonging to the field of personalized knowledge recommendation. Background technique [0002] Nowadays, people's daily life is increasingly inseparable from social networks. According to the data of Sina Weibo alone, as of October 2014, the number of monthly active users of Weibo has reached 167 million. People use social networks to realize information dissemination, information sharing, and information acquisition. This article uses Sina Weibo, a social network, as a platform for illustration. [0003] Microblog functions are becoming more and more powerful, and a large number of microblog information has brought convenience to people, but it has also caused problems such as information overload. The microblog data received by users every day contains different knowledge in various knowledge fields,...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/367G06F16/958
Inventor 金晨谢振平王士同江思伟章洁
Owner 江苏国基科技有限公司
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