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Student comprehensive portrait label management system for online teaching based on deep learning

A deep learning and tag management technology, applied in the field of comprehensive portrait tag management system for students based on deep learning online education, can solve the problems of obvious island benefits, lack of student system characterization and evaluation, etc., and achieve the effect of efficient induction and refinement

Pending Publication Date: 2018-09-04
SHANGHAI OPEN UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0010] Although there are a lot of data in the current education field, the island effect is obvious, and there is a lack of characterization and evaluation of the student system

Method used

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  • Student comprehensive portrait label management system for online teaching based on deep learning

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with drawings and embodiments.

[0050] Examples, as attached figure 1 As shown, the method of using the comprehensive portrait label management system for online education students based on deep learning, in which:

[0051] Step 1 Buried point collection will use the webpage buried point technology to pre-embed JS SDK codes and other processing on the webpage, so that the students' browsing behavior and click behavior for each webpage can be recorded, and the recorded content can fully reflect the students' online The complete browsing path of the platform, and lock the content of the web pages it views;

[0052] Step 2. Brain wave acquisition will use head-mounted brain wave acquisition equipment to detect changes in cerebral cortex voltage, and perform differential, digital-to-analog conversion and other processing to realize the retention of students' brain wave changes throughout the learning pro...

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Abstract

The invention discloses a student comprehensive portrait label management system for online teaching based on deep learning, and the system comprises a data acquisition unit, a data preprocessing unit, an image label refining unit, and a result output and presentation unit. The system employs the point burying technology, the brain wave acquisition technology, the viewpoint tracking technology, the image recognition technology, the text mining technology and a deep learning algorithm for the learning contents, behaviors, physical sings and result data of students, and carries out the integration, checking and cleaning of the data collected and obtained from a plurality of data sources. The important dimension information is screened out of the basic data, and a representative portrait label is extracted, and a top-to-bottom integrated label system is formed. The portrait label result is displayed and used in a visualized manner through a proper logic. The system achieves the scientificevaluation of the hierarchical capability of student groups and individuals, achieves the scientific evaluation and presentation of the hierarchical capability of student groups and individuals in asystematic manner, and effectively guides the optimization and improvement of a student training scheme and a teaching content plan.

Description

technical field [0001] The present invention belongs to G06F electrical digital data processing in IPC classification or G06Q is specially applicable to the portrait labeling technology in the data processing system or method for the purpose of education prediction, relates to the fields of network embedding, image recognition, text mining, deep learning, etc., especially based on Deep learning online education student comprehensive portrait tag management system. Background technique [0002] Online education is e-Learning, or distance education, online learning. The current concept generally refers to a network-based learning behavior, which is similar to the concept of network training. [0003] Buried point technology is a commonly used data collection method for website analysis. It tracks the user's series of behaviors on each interface of the platform by implanting multiple pieces of code at key positions on the website page, and the events are independent of each oth...

Claims

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Application Information

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IPC IPC(8): G06Q50/20G06F17/30
CPCG06Q50/205
Inventor 肖君王宏余晔王腊梅蔡朔
Owner SHANGHAI OPEN UNIVERSITY
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