Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Internet education student comprehensive portrait label management system based on deep learning

A technology of deep learning and label management, applied in the field of comprehensive portrait label management system of Internet education students, can solve the problems of wasting teachers' working time, reducing teachers' work efficiency, reducing learning efficiency, etc., so as to prevent the reduction of learning enthusiasm and facilitate viewing and analysis , the effect of improving work efficiency

Pending Publication Date: 2021-11-12
江苏熙枫教育科技有限公司
View PDF1 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] After retrieval, Chinese Patent No. CN108492224A discloses a comprehensive portrait label management system for online education students based on deep learning. Although this invention can efficiently summarize and refine representative portrait labels and make up for gaps in the industry, teachers need to rely on student data Designing teaching plans reduces teachers' work efficiency and wastes teachers' working time; in addition, the existing Internet education student comprehensive portrait label management system based on deep learning cannot update the teaching plan in real time, which easily reduces students' learning enthusiasm and learning efficiency. Therefore, we propose a comprehensive portrait label management system for Internet education students based on deep learning

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Internet education student comprehensive portrait label management system based on deep learning
  • Internet education student comprehensive portrait label management system based on deep learning
  • Internet education student comprehensive portrait label management system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] refer to Figure 1-4 , a comprehensive portrait tag management system for Internet education students based on deep learning, except for the same structure as the above embodiment, this embodiment mainly discloses the specific generation method of the teaching plan:

[0069] The identity auditing unit is used to receive the user name and user password uploaded by the user, and perform audit judgment.

[0070] Specifically, the identity verification unit starts to perform intelligent verification on the user name, and judges whether the identity is a new student. If not, it starts to identify and judge the user's password. If the user is a new student, it sends a supplementary instruction to the information supplement. At the same time, it sends a grabbing instruction to the physical feature unit. If the user's identity is not a student, it will feedback "non-student user, unable to log in".

[0071] Among them, it should be further explained that the specific steps of ...

Embodiment 2

[0091] refer to Figure 1-4 , a comprehensive portrait label management system for Internet education students based on deep learning, except for the same structure as the above embodiment, this embodiment mainly discloses a data intelligent update method:

[0092] The cloud management database is used to receive teaching plans and store them in numbers.

[0093] The data update feedback module is used to receive teaching plans, collect student data on a regular basis, and perform data update processing at the same time.

[0094] Specifically, the teaching plan begins to be implemented, and the data update feedback module begins to collect students' learning activity, learning engagement, self-efficacy, interactive participation and rapid learning ability in real time. The line chart and the student record table are updated, and the data update feedback module starts to update the teaching plan based on the updated line chart and the student record table, and feeds back vario...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an internet education student comprehensive portrait label management system based on deep learning, and belongs to the technical field of intelligent teaching. The system includes a student identity recognition module, a learning data acquisition module, a learning label matching module, a student portrait generation module, an education scheme planning module, a teacher management module, a cloud management database and a data update feedback module. The management system can automatically generate the teaching scheme, does not need the manual making of the teacher, improves the working efficiency of the teacher, facilitates the teacher to check and analyze the student data, can update the teaching scheme in real time, prevents the reduction of the learning enthusiasm of the student caused by a single teaching mode, and improves the learning efficiency of the student.

Description

technical field [0001] The invention relates to the technical field of intelligent teaching, in particular to a comprehensive portrait tag management system for Internet education students based on deep learning. Background technique [0002] With the continuous development of science and technology, Internet education is a new form of education that combines Internet technology and education. It breaks through the boundaries of time and space. It is different from the traditional teaching mode of on-campus accommodation. Students in this model do not need to go to a specific place to take classes, they can take classes anytime and anywhere, and students can also learn from each other through various channels such as television broadcasting, the Internet, tutoring hotlines, course research clubs, face-to-face teaching, etc., that is, education using network technology and the environment. , the survey shows that 37% of users are willing to accept online video teaching, 32.6%...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q50/20G06F21/32G06F16/25G06F16/23
CPCG06Q50/205G06F21/32G06F16/252G06F16/2358
Inventor 王晓跃
Owner 江苏熙枫教育科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products