Student evaluation method and system based on AI identification data

A technology for identifying data and students, which is applied in the field of student evaluation methods and systems based on AI identification data, and can solve problems such as waste of resources, redundancy of software and hardware resources, etc.

Active Publication Date: 2021-12-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of single-technical and single-space-time recognition cannot fully utilize the benefits brought by this kind of technology to the field of intelligent education, and there are problems such as waste of resources, redundant software and hardware resources, etc.

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
  • Student evaluation method and system based on AI identification data
  • Student evaluation method and system based on AI identification data
  • Student evaluation method and system based on AI identification data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0078] The invention discloses a student evaluation method based on AI recognition data. In a preferred implementation method, the schematic flow chart of the method is as follows figure 1 shown, including:

[0079] Step S1, designing a lightweight deep learning network model, which can use the processed AI recognition data to conduct comprehensive evaluation of students in any time and space;

[0080] The model is designed in the server in the current preferred implementation method, and the model will automatically complete processes such as pre-training, training, and prediction.

[0081] In step S2, use the MRND simulation data generation algorithm (Multidimensional random normal distribution) proposed in this paper ...

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 a student evaluation method and system based on AI identification data, and relates to the field of intelligent education. A lightweight network model suitable for student evaluation, the model taking AI identification data as an input and taking an evaluation result as an output; a training data generation algorithm is provided, multi-dimensional AI identification data and labels are uniformly processed into training data suitable for a network model through the algorithm, and the problems that the dimensions between any AI identification data and various labels are not uniform, and native data cannot meet multi-dimensional and cross-time prediction model training can be solved; a simulation data generation algorithm and a simulation label generation algorithm are provided, the algorithms are used and matched with a training data generation algorithm, and the training data generation algorithm generates simulation training data. The network model is pre-trained by using the generated simulation training data, thereby solving the problem of insufficient label quantity in application scenarios such as student evaluation.

Description

technical field [0001] The invention relates to the field of intelligent education, in particular to a student evaluation method and system based on AI recognition data. Background technique [0002] With the vigorous development and maturity of artificial intelligence technology, it is widely used in various scenarios. In classroom scenarios, artificial intelligence technology is often used to identify students' emotions, postures, sights, etc. At the current stage, artificial intelligence technology in the classroom environment is usually recognized in a single technical dimension, that is, each plays its own recognition function, and it is also recognized in a single space-time dimension, that is, it only recognizes a single student at the current stage. This kind of single-technology dimension and single-space-time dimension recognition cannot fully utilize the benefits brought by this kind of technology to the field of intelligent education, and there are problems such...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20G06N3/00
CPCG06Q10/06393G06Q50/205G06N3/006G09B19/00G06N20/00
Inventor 杨峰李瑞夏鸿宇陈沁王士淳李亮杰钟昊原
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap