Internet precision teaching method and system based on big data and artificial intelligence
A technology of artificial intelligence and big data, applied in the direction of digital data authentication, data processing application, electronic digital data processing, etc., can solve the problems of unable to achieve personalized teaching, unable to guide students, poor continuity, etc., to achieve small errors and applicable scope. Wide and fast results
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Embodiment 1
[0057] Embodiment 1: Internet precise teaching method based on big data and artificial intelligence, such as figure 1 shown, including the following steps:
[0058] S101: Obtain the identity information of the user, and grant the corresponding learning permission after the identity information is verified;
[0059] S102: Search the user's historical network footprint data in real time with big data according to the identity information, and perform data classification and data analysis on the historical network footprint data to obtain the user's interest field information;
[0060] S103: Obtain the user's learning level information by identifying the user's identity information, and match the corresponding knowledge point courses from the pre-built course database according to the learning level information;
[0061] S104: Extract the knowledge point information in the knowledge point course, match the total set of examples associated with the knowledge point information in ...
Embodiment 2
[0075] Embodiment 2: Internet precise teaching system based on big data and artificial intelligence, such as figure 2 As shown, it includes user login module, data acquisition module, course selection module, example matching module, and link embedding module. The user login module is used to obtain the user's identity information, and grant the corresponding learning permission after the identity information is verified. The data acquisition module is used to search the user's historical network footprint data in real time based on the identity information, and perform data classification and data analysis on the historical network footprint data to obtain the user's interest field information. The course selection module is used to obtain the user's learning level information by identifying the user's identity information, and match the corresponding knowledge point courses from the pre-built course database according to the learning level information. The example matching...
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