Student differentiation method and device

A technology of student and location information, applied in character and pattern recognition, instruments, data processing applications, etc., can solve problems such as inaccurate results, achieve the effect of overcoming limitations, solving inaccurate results, and improving the accuracy of distinguishing results

Pending Publication Date: 2018-07-27
卓智网络科技有限公司
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a method and device for distinguishing students, so as to at least solve the technical problem of inaccurate results in the prior art of using single score data to distinguish the first echelon students from the lower echelon students

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 differentiation method and device
  • Student differentiation method and device
  • Student differentiation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] According to an embodiment of the present invention, a method embodiment of a method for distinguishing students is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0023] figure 1 is a method for distinguishing students according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0024] Step S102, obtaining online data and location information of multiple students;

[0025] Step S104, according to the analysis results of location information and Internet access data, daily behavior data of multiple students are obtained;

[0026] Step S106, performing clustering algorithm calculation on daily beh...

Embodiment 2

[0054] According to an embodiment of the present invention, a product embodiment of a student distinguishing device is provided, Figure 4 is a student distinguishing device according to an embodiment of the present invention, such as Figure 4 As shown, the device includes an acquisition module, a generation module, a first calculation module and a second calculation module, wherein the acquisition module is used to obtain the online data and location information of a plurality of students; The analysis results of the online data obtain the daily behavior data of multiple students; the first calculation module is used to perform clustering algorithm calculations on the daily behavior data and the performance information of multiple students to obtain multiple clusters; the second calculation module , which is used to calculate the average value of the daily behavior data and performance information of each cluster, and distinguish whether each cluster is a first-echelon stude...

Embodiment 3

[0065] According to an embodiment of the present invention, a product embodiment of a storage medium is provided, the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above method for distinguishing students.

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 differentiation method and device. The method comprises the following steps of: obtaining internet data and position information of a plurality of students; obtainingdaily behavior data of the plurality of students according to analysis results for the position information and the internet data; calculating the daily behavior data and performance information of the plurality of students through a clustering algorithm so as to obtain a plurality of clusters; and calculating an average value of the daily behavior data and performance information of each cluster, and differentiating whether each cluster is in a first echelon of student clusters or a latter echelon of student clusters according to the calculation results. According to the method and device, the technical problem that the result of differentiating the first echelon of students and the latter echelon of students by using single performance data is not correct in the prior art is solved.

Description

technical field [0001] The invention relates to the field of computer internet, in particular, to a method and device for distinguishing students. Background technique [0002] At present, among the various teaching tasks in most colleges and universities in our country, the core of their work is carried out around the management of teaching. How to improve students' overall learning ability is a very important topic in higher education. A common method is to identify the first echelon students and the lower echelon students in the student population. By using the learning and daily life experience of the first echelon students to guide and influence the lower echelon students, we can achieve the goal of common progress. [0003] Although colleges and universities have a strong willingness to identify first-tier students and lower-tier students, due to the lack of scientific and effective data analysis methods in the existing student management system, the identification of...

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): G06Q50/20G06Q10/06G06K9/62
CPCG06Q10/0639G06Q50/205G06F18/23
Inventor 李林李智博张竞宇董旭李宝环
Owner 卓智网络科技有限公司
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