Auxiliary learning method and device and readable storage medium

Abstract

The invention provides an auxiliary learning method and device and a computer readable storage medium. The auxiliary learning method comprises the steps that user equipment collects learning behaviordata of a user; the user equipment sends the learning behavior data to a server, so that the server determines the good feeling degree information of the user according to the learning behavior data and a good feeling degree formula, and the good feeling degree formula is used for representing the good feeling degree of the user to the learning material; the user equipment receives the goodness information sent by the server; and the user equipment determines a learning strategy of the user according to the goodness information. The good sensation value of the user to the learning material iscalculated by adopting the good sensation formula, the development difficulty is low, the cost is low, and the method can be suitable for lightweight application scenes. Besides, a personalized learning strategy suitable for the user is formulated according to the good feeling of the user on the learning material, so that the user can be helped to improve the learning effect.

Description

technical field [0001] The present invention relates to the technical field of assisted learning, in particular to a method, device and computer-readable storage medium for assisted learning. Background technique [0002] In order to better help students learn, many application software with auxiliary functions have been produced one after another. However, the development of such auxiliary functions generally uses machine learning algorithms, which are difficult and complex in the system, making development difficult. In addition, using machine learning algorithms requires a lot of preparatory work in the early stage, such as building a data warehouse, which requires a lot of manpower and material resources, and the cost is high. For some lightweight business scenarios, high-difficulty and high-complexity machine learning algorithms are not actually required. Contents of the invention [0003] In view of this, the embodiments of the present invention provide a learning-...

AI Technical Summary

Problems solved by technology

However, the development of such auxiliary functions generally uses machine learning algorithms, which are difficult and complex in the system, making it difficult to develop

In addition, using machine learning algorithms requires a lot of preparatory work in the early stage, such as building a data warehouse, etc., which requires a lot of manpower and material resources, and the cost is high

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