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A Method for Updating the State Parameters of an Adaptive Learning System

A technology of adaptive learning and parameter update, applied in the field of artificial intelligence, can solve the problems of no adaptive learning system state update method, etc., to achieve the effect of improving experience, strong stability, and ensuring learning efficiency

Active Publication Date: 2021-06-22
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] The invention provides a method for updating state parameters of an adaptive learning system, which is used to solve the problem that there is no better method for updating the state of an adaptive learning system

Method used

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  • A Method for Updating the State Parameters of an Adaptive Learning System
  • A Method for Updating the State Parameters of an Adaptive Learning System
  • A Method for Updating the State Parameters of an Adaptive Learning System

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Embodiment Construction

[0029] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0030] figure 1 It is a flowchart of a method for updating state parameters of an adaptive learning system in an embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps S101-S107:

[0031] S101: Input preset learning data into the self-adaptive learning system to obtain initial state parameters;

[0032] In this embodiment, the state parameter is used to detect the stability of the adaptive learning system, and is a general parameter of the learning system, which may include: learning quality parameters, learning conversion rate parameters, and teaching accuracy parameters.

[0033] S102: Input the preset learning d...

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Abstract

The invention discloses a method for updating state parameters of an adaptive learning system, which is used to solve the problem that there is no better method for updating state parameters of an adaptive learning system at present. The method includes: inputting preset learning data into an adaptive learning system to obtain initial state parameters; inputting preset learning data into an adaptive learning system for target users to learn, and obtaining learning duration; according to the target user learning duration Calculate the current state parameters; when the similarity between the current state parameters and the initial state parameters is less than the preset similarity threshold, calculate the target user’s learning rate according to the target user’s average learning time and the preset learning rate algorithm; according to the target user’s The learning rate and update state parameter algorithm obtains the update state parameter and updates the initial state parameter to the update state parameter. The method calculates and obtains the updated state parameters in real time to update the initial state parameters, which can improve the user's learning efficiency.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for updating state parameters of an adaptive learning system. Background technique [0002] With the rapid development of Internet technology, artificial intelligence and other technologies, students' learning methods have undergone tremendous changes. At the same time, the concept of personalized learning has gradually been accepted by the public, because the adaptive learning system can provide users with accurate learning strategies and efficient learning. The method can also provide technical support for the realization of personalized learning, so it has developed by leaps and bounds. In order to provide users with a more suitable adaptive learning system, it is necessary to adjust the state parameters of the adaptive learning system according to the user's individual characteristics, but there is currently no effective method to adjust the adaptive ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/20G06Q10/06G06N3/04G06N3/08
CPCG06Q50/205G06Q10/063114G06N3/08G06N3/045
Inventor 崔炜
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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