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

Student academic early warning system and method

An early warning system and technology for students, applied in the system field of early warning for students' academic studies, can solve problems such as the inapplicability of prediction models, and achieve the effect of universality and strong data universality.

Inactive Publication Date: 2018-04-27
OCEAN UNIV OF CHINA +1
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, these predictive models are not applicable for courses without online data

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 academic early warning system and method
  • Student academic early warning system and method
  • Student academic early warning system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In the following, the present invention will be specifically described through exemplary embodiments. It should be understood, however, that elements, structures and characteristics of one embodiment may be beneficially incorporated in other embodiments without further recitation.

[0019] In the description of the present invention, it should be noted that unless otherwise specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection. Connected, or integrally connected; it can be directly connected, or indirectly connected through an intermediary, and it can be the internal communication of two elements. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention in specific situations.

[0020] The invention provides a student academic early warning system, the student academic early warni...

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 provides a student academic early warning system and a method. The system comprises an acquisition unit, an extraction unit, a classification unit, a configuration unit and a determination unit. The acquisition unit, the extraction unit, the classification unit, the configuration unit and the determination unit are used to construct and form a sample model. An input unit and an output unit are further arranged in the sample model. The input unit collects data to be detected, and enters into the sample mode to carry out data analysis so as to determine whether the data to be detected is early warning data, and the output unit outputs a determined early warning result. The method is based on the system. Processing objects of the system and the method of the invention are all students of a school and are not the students of one course. Used data includes general data shared by all the students, such as a school card swiping record and the like and does not include special data of class process data. There are a lot of samples and data universality is high.

Description

technical field [0001] The invention belongs to the field of campus information management, and in particular relates to a system for early warning of students' studies. Background technique [0002] At present, campus information management has accumulated a large amount of student data, including canteen dining check-in data, library access and borrowing records, etc. These data reflect students' learning and living conditions, and can be used to quantify and predict students' academic performance. [0003] Intelligence is one of the cores of future education, and data is the basis and prerequisite for intelligence. Through data analysis, an intelligent model can be established to give a credible prediction of student performance. [0004] To enable targeted teaching and management, many researchers leverage student data to identify academically at-risk students by using predictive modeling techniques. The researchers concluded that, through data analysis, it was possibl...

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): G06Q10/04G06Q50/20
CPCG06Q10/04G06Q50/205
Inventor 王勇王端瑞董军宇冯建平张立凯刘宇邹学
Owner OCEAN UNIV OF CHINA
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