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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Problems solved by technology

[0010] Although there are a lot of data in the current education field, the island effect

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

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[0049] The present invention will be further described below with reference to the drawings and embodiments.

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

[0051] Step 1 Point-buried collection will use web-buried technology to pre-implant JS SDK code and other processing on the web pages, so that students’ browsing and clicking behaviors for each web page can be recorded, and the recorded content can fully reflect the student’s online The complete browsing path of the platform, lock the content of the webpage viewed;

[0052] Step 2 Brainwave acquisition will use a head-mounted brainwave acquisition instrument to detect changes in cerebral cortex voltage, and perform processing such as differential and digital-to-analog conversion to realize the retention of the changes in the brainwaves of the students throughout the learning process Record, and th...

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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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