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Predicting method and device for learning time length of students

A prediction method and student technology, applied in the direction of prediction, instrumentation, data processing applications, etc., can solve the problem of being unable to accurately predict the length of students' learning in advance, and achieve the goal of accurately predicting the length of students' learning in advance, improving the teaching environment, and ensuring technical effects Effect

Pending Publication Date: 2018-07-24
卓智网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for predicting student learning time, to at least solve the technical problem in the prior art that it is impossible to accurately predict student learning time in advance

Method used

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  • Predicting method and device for learning time length of students
  • Predicting method and device for learning time length of students
  • Predicting method and device for learning time length of students

Examples

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Embodiment 1

[0022] According to an embodiment of the present invention, a method embodiment of a method for predicting a student's learning duration is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, 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 predicting student learning duration according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

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

[0025] Step S104, obtaining the historical daily behavior data of the students according to the historical online data and historical location information, and obtainin...

Embodiment 2

[0047] According to an embodiment of the present invention, a product embodiment of a student learning duration prediction device is provided, Figure 4 is a student learning duration prediction 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 construction module and a prediction module, wherein the acquisition module is used to obtain the historical online data of the students and the historical location information of the students; the generation module is used to obtain the historical online data and the The historical location information obtains the historical daily behavior data of the students, and the historical learning duration of the students is obtained according to the historical location information; the building module is used to construct a learning duration prediction model using a deep learning algorithm based on the historical daily behavior data and histo...

Embodiment 3

[0058] 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 predicting the learning duration of students.

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Abstract

The invention discloses a predicting method and device for learning time length of students. The method comprises the steps of obtaining the historical network-surfing data and the historical positioninformation of students; obtaining the historical daily-activity data of students based on the historical network-surfing data and the historical position information, and obtaining the historical learning time length of students based on the historical position information; adopting a deep learning algorithm to establish a learning time length predicting model based on the historical daily-activity data and the historical learning time length; predicting the further learning time length of students based on the learning time length predicting model. The invention resolves the technical problem of the prior art that the learning time length of students cannot be accurately predicted in advance.

Description

technical field [0001] The invention relates to the field of computer internet, in particular to a method and device for predicting the learning duration of students. Background technique [0002] At present, among the various teaching tasks in most colleges and universities in our country, the core of their work revolves around the teaching of students and the daily management of students. Although with the development of society, academic performance is no longer a single index information to measure the basic quality of students, but it is still the most important link in college education, and its core is to ensure that students meet the teaching requirements and graduate smoothly. [0003] As we all know, for most students, the length of study directly affects the pros and cons of academic performance, so it is very important to monitor and predict the length of students' study. The traditional and common method of detecting students' learning time is usually post-test...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/20
CPCG06Q10/04G06Q50/205
Inventor 李林李智博董旭范成伟
Owner 卓智网络科技有限公司
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