Adaptive learning system state parameter updating method

Abstract

The invention discloses a self-adaptive learning system state parameter updating method, which is used for solving the problem that a relatively good self-adaptive learning system state parameter updating method does not exist at present. The method comprises the following steps: inputting preset learning data into an adaptive learning system to obtain an initial state parameter; inputting presetlearning data into an adaptive learning system for the target user to learn, and obtaining learning duration; calculating to obtain a current state parameter according to the learning duration of thetarget user; when the similarity between the current state parameter and the initial state parameter is smaller than a preset similarity threshold, calculating the learning rate of the target user according to the average learning duration of the target user and a preset learning rate algorithm; and according to the learning rate of the target user and the updating state parameter algorithm, obtaining an updating state parameter, and updating the initial state parameter into the updating state parameter. The method calculates and acquires the updated state parameter in real time to update theinitial state parameter, so that the learning efficiency of the user can be improved.

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 been 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 personalized characteristics. However, there is no effective method to adjust the adaptiv...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a method for updating state parameters of an adaptive learning system, which is

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