Emotion-aware adaptive learning system

Abstract

An emotion-aware adaptive learning system is disclosed for providing learning content to a user, comprising a user electronic device and an artificial intelligence server. When the artificial intelligence server receives a learning request, it provides the learning content and transmits it to the user electronic device. During the playback of the learning content, the user electronic device captures multiple facial images of the user and transmits them to the artificial intelligence server. When the artificial intelligence server receives these facial images from the user electronic device, it identifies a current emotion of the user based on the facial images, and generates further learning content based on this current emotion.

Claims

1. An emotion-aware adaptive learning system, suitable for providing learning course content to a user, comprising: a user electronic device including an input module, an output module, an image capturing module for capturing one of the user's faces to obtain a series of facial images, a user-end communication module for connecting to a network, and a user-end processor module electrically connected to the input module, the output module, the image capturing module, and the user-end communication module; and an artificial intelligence server connected to the user electronic device via the network, the artificial intelligence server including a storage module storing a knowledge graph, a server-end communication module for connecting to the network, and a server-end processor module electrically connected to the storage module and the server-end communication module, the knowledge graph containing multiple teaching material nodes and their relationships, each teaching material node corresponding to a difficulty level; wherein... The user-side processor module generates a learning request based on the input signal from the input module and transmits the learning request to the AI ​​server via the user-side communication module. When the server-side processor module receives the learning request from the user's electronic device via the server-side communication module, the server-side processor module provides the learning course content and transmits it to the user-side communication module via the server-side communication module. Subsequently, the user-side processor module causes the output module to play the learning course content. During the playback of the learning course content by the output module, the user-side processor module... The image capture module captures the user's face to obtain facial images, which are then transmitted to the AI ​​server via the user's communication module. When the server-side processor module receives the facial images from the user's electronic device via the server-side communication module, the server-side processor module identifies the user's current emotion based on the facial images. Based on the current emotion, and according to the relationship between the teaching material nodes in the knowledge graph and the difficulty level, the server-side processor module selects a target teaching material node from the knowledge graph and generates another learning course content based on the target teaching material node.

2. The emotion-aware adaptive learning system as described in claim 1, wherein, The user-side processor module also generates an input message related to the learning course content based on the input signal from the input module, and transmits the input message to the artificial intelligence server via the user-side communication module. When the server-side processor module receives the input message from the user's electronic device via the server-side communication module, the server-side processor module also analyzes the input message to obtain a semantic sentiment, and selects the target teaching material node based on the semantic sentiment.

3. The emotion-aware adaptive learning system as described in claim 2, wherein, During the playback of the learning course content by the output module, the user-side processor module obtains multiple interactive behavior information related to the user and transmits it to the artificial intelligence server via the user-side communication module. When the server-side processor module receives such interactive behavior information from the user's electronic device via the server-side communication module, the server-side processor module also analyzes such interactive behavior information to obtain a level of focus. The server-side processor module also selects the target teaching material node based on the level of focus.

4. The emotion-aware adaptive learning system as described in claim 1, wherein, The current emotion includes one of the following: a positive emotion, a negative emotion, or a neutral emotion.

5. The emotion-aware adaptive learning system as described in claim 1, wherein, The AI ​​server also connects to a textbook knowledge base via the network. The server-side processor module retrieves textbook learning content related to the target textbook node from the textbook knowledge base and transmits the textbook learning content to the user-side communication module via the server-side communication module. Then, the user-side processor module causes the output module to play the textbook learning content.

6. The emotion-aware adaptive learning system as described in claim 1, wherein, While the output module is playing the learning course content, the server-side processor module also generates emotional feedback content and learning guidance corresponding to the current emotion. The server-side processor module transmits the emotional feedback content and learning guidance to the user's electronic device via the server-side communication module.

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