Intelligent education method and system based on cloud computing
A cloud computing and intelligent technology, applied in the field of intelligent education methods and systems based on cloud computing, can solve the problems of low degree of personalization, poor learning efficiency, low time planning rate, etc., and achieve highly targeted effects
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Embodiment 1
[0031] Such as figure 1 As shown, the embodiment of the present application provides a cloud computing-based intelligent education method, wherein the method includes:
[0032] Step S100: Obtain the first basic attribute information of the first user;
[0033] Specifically, the first user is a user who intends to learn a course, and the first basic attribute information is related attribute information of the first user, such as the first user's identity information, age, gender, occupation, Professional, personality and other relevant information. By obtaining the basic attribute information of the first user, corresponding basic materials are provided for the subsequent personalization of courses for the first user.
[0034] Step S200: Obtain first demand information of the first user;
[0035] Specifically, the first demand information is the demand information generated by the first user according to his current status or job requirements, or wants to add a distinctive ...
Embodiment 2
[0096] Based on the same inventive concept as the intelligent education method based on cloud computing in the foregoing embodiments, the present invention also provides an intelligent education system based on cloud computing, such as Figure 9 As shown, the system includes:
[0097] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain the first basic attribute information of the first user;
[0098] A second obtaining unit 12, the second obtaining unit 12 is configured to obtain the first demand information of the first user;
[0099] A first input unit 13, the first input unit 13 is configured to input the first basic attribute information and the first demand information into a training model, wherein the training model is obtained through multiple sets of training data training, the Each set of training data in multiple sets of training data includes: the first basic attribute information, the first requirement information, and identification in...
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