Artificial intelligence control teaching system and use method thereof
A teaching system and artificial intelligence technology, applied in the field of intelligent teaching system, can solve the problems of limited learning location and times, less learning functions, and increased learning difficulties.
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Embodiment 1
[0128] An artificial intelligence-controlled teaching system includes a server, an application module, a storage module, and N mobile terminals. The N mobile terminals include teacher terminals and student terminals; the number of N depends on the number of students in class, and small classrooms ( or computer room) can be 20-30, large classrooms (or computer room) can be 60-200.
[0129] The application module is connected to the server through the network port, the storage module is connected to the storage terminal of the server through the connection port, the storage module is connected to the application module through data communication, and the N mobile terminals are connected to the server through the Internet ;
[0130] Said server is used for:
[0131] (1) Send instructions to the mobile terminal through the application module to collect data;
[0132] (2) Compare the collected data with the internal data of the storage terminal. When the collected data is consist...
Embodiment 2
[0170] A method for using an artificial intelligence-controlled teaching system, the method is the method for using an artificial intelligence-controlled teaching system described in Embodiment 1, including: a method for using an attendance unit, a method for using a verification unit, and a method for using a detection unit , How to use the course channel matching unit, how to use the in-class status analysis unit, how to use the teaching interaction unit, how to use the course recording unit and how to use the monitoring unit;
[0171] The method for using the attendance unit includes the following steps:
[0172] In the first step, teachers or students run the teaching system APP or application program on the mobile terminal, and use face recognition or account password authentication to log in;
[0173] In the second step, the system calls the camera of the mobile terminal to capture the face feature information and compare it with the face database information in the stor...
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