Learning effect monitoring method and device based on big data analysis

A monitoring device and big data technology, applied in the field of learning effect monitoring devices based on big data analysis, can solve the problems of untraceable monitoring, unknowable learning effect, fixed learning content, etc., to achieve refined online education and realize online education Effect

Inactive Publication Date: 2019-07-16
河南省慕华教育科技有限公司
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Problems solved by technology

However, the learning content presented by the existing online learning system is relatively fixed, and it cannot easily assist students to carry out refined learning according to their own conditions. ...

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  • Learning effect monitoring method and device based on big data analysis
  • Learning effect monitoring method and device based on big data analysis

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Embodiment Construction

[0017] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0018] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0019] figure 1 A schematic flow chart of a learning effect monitoring method based on big data analysis according to an embodiment of the present invention is shown.

[0020] Such as figure 1 As ...

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Abstract

The invention provides a learning effect monitoring method and device based on big data analysis. The learning effect monitoring method based on big data analysis comprises the steps that identity information and learning plan information of a student are acquired; according to the identity information and the learning plan information of the student, a target learning task data packet is assignedto the student; learning progress information and learning state information of the learning target task data packet of the student are acquired; and according to the learning progress information and the learning state information, the learning effect of the student on the target learning task data packet is evaluated. According to the technical scheme of the learning effect monitoring method and device based on big data analysis, suitable learning task matching for the student varies from person to person, the entire learning process of the student is effectively monitored so as to form a reasonable analysis of the learning effect, and refined online education is realized.

Description

technical field [0001] The present invention relates to the technical field of online education, in particular to a learning effect monitoring method based on big data analysis and a learning effect monitoring device based on big data analysis. Background technique [0002] As people pay more attention to education, the way of education and learning is not limited to traditional classroom learning, and online learning is still an important way of learning. However, the learning content presented by the existing online learning system is relatively fixed, and it cannot easily assist students to carry out refined learning according to their own conditions. Whether serious and effective learning is carried out during the whole process cannot be tracked and monitored, and the learning effect cannot be known. The above problems need to be resolved urgently. Contents of the invention [0003] Based on at least one of the above technical problems, the present invention proposes ...

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Application Information

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IPC IPC(8): G09B5/08
CPCG09B5/08
Inventor 李展边金娣
Owner 河南省慕华教育科技有限公司
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