Automatic interactive intelligent education system and method
An interactive and automatic technology, applied in the field of artificial intelligence and intelligent education, can solve problems such as the inability to realize automation and personalized interactive teaching, and achieve the effect of realizing personalized teaching and learning, rendering flexible and vivid, and improving teaching quality.
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Embodiment 1
[0091] Such as Figure 1-9 As shown, it includes a user terminal and a computing device connected to the user terminal. The computing device includes a recognition module for recognizing user behavior in a dialogue scene to obtain recognition information. The recognition information includes voice recognition information, expression recognition information, face recognition information and Gesture recognition information; task management module, after automatically driving the established node graph according to the recognition information, perform multi-task coordination according to the node graph, and schedule the rendering module; rendering module, used to render teaching scenes, teaching tools and / or the image of the teacher, and transmit the rendering result to the user terminal for display, realizing automatic interactive teaching. The computing device also includes a database, which stores teaching information updated according to the result of multi-task coordination...
Embodiment 2
[0100] Based on Example 1, the node diagram of the task management module includes a teaching content node diagram, a teaching process node diagram and an emergency node diagram. The key to realizing automated interactive teaching is to overcome the technical problems of multi-task coordination and scheduling, which is established in this application The node graph includes the following steps:
[0101] Step 1.1: Establish a teaching content node graph; Step 1.1 includes Step 1.1.1: Establish a teaching content master node according to the knowledge point framework of the teaching content; Step 1.1.2: Establish multiple first-level slave nodes according to the teaching content master node, and Define the node attributes of multiple first-level slave nodes as AND nodes; Step 1.1.3: Establish multiple second-level slave nodes according to the first-level slave nodes, and define the node attributes of multiple second-level slave nodes as OR nodes Or with node.
[0102] Step 1.2:...
Embodiment 3
[0107] Based on Embodiment 1, the rendering module and the recognition module are associated with the learning status, teaching process and teaching content, and the node diagram of the driver and task management module is different from the existing fixed trigger after recognition and fixed rendering of the scene, so as to realize automatic interactive teaching at the same time Improve the quality of teaching:
[0108] In the recognition module, the image recognition module recognizes micro-expressions, obtains the learning status of the current user according to the division of micro-expressions, such as understanding or not understanding, etc., performs model matching and correlation between micro-expression recognition and learning status, and realizes Statistical methods and deep learning methods are implemented, such as some specific body recognition, such as opening the mouth, closing eyes and other actions, to achieve the same empathy as micro-expressions. The recognit...
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