Guided interaction method

Abstract

The invention provides a guided interaction method. The guided interaction method comprises the following steps: acquiring voice information input by a user; acquiring user feature information of a user; obtaining a corresponding guide instruction according to the collected voice information and the user feature information of the user, and calling a guide template corresponding to the collected voice information and the user feature information from a pre-stored guide template library according to the guide instruction, wherein the guide template comprises at least one guide statement; and playing the guide statements in the guide templates in sequence. The user is guided to learn by calling different guide templates, so that the learning efficiency of the user is improved.

Description

technical field [0001] The invention relates to the technical field of guided education, in particular to a guided interactive method. Background technique [0002] When users are learning, they usually learn with the help of related learning platforms. However, learning platforms generally guide different users to learn the same knowledge according to the same mode according to a specific learning mode. Generally, after playing the audio and video corresponding to the knowledge point, the platform will directly display the question and the result corresponding to the question to the user. Due to the lack of guided thinking, the user cannot understand the question and the result of the question during the learning process. The corresponding knowledge points need to be deeply understood. At the same time, due to the relatively fixed guidance mode, it is impossible to realize personalized training for users, which makes the efficiency of user learning low. Contents of the in...

AI Technical Summary

Problems solved by technology

[0002] When users are learning, they usually learn with the help of related learning platforms. However, learning platforms generally guide different users to learn the same knowledge according to the same mode according to a specific learning mode. Generally, after playing the audio and video corresponding to the knowledge point, the platform will directly display the question and the result corresponding to the question to the user. Due to the lack of guided thinking, the user cannot understand the question and the result of the question during the learning process. The corresponding knowledge points need to be deeply understood. At the same time, because the guidance mode is relatively fixed, it is impossible to realize personalized training for its users, which makes the learning efficiency of users low.

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