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
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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.
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