Physical education teaching management system based on big data
A technology of teaching management system and management system, which is applied in the direction of database management system, data processing application, special data processing application, etc., can solve the problems not mentioned in the teaching management system, so as to save the cost of later maintenance and upgrading and improve the effective utilization rate effect
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Embodiment 1
[0055] If attached Figure 1 As shown, a physical education management system based on big data, the management system comprising:
[0056] Recording unit 101, the recording unit 101 comprises the following two modules:
[0057] User module 111, for collecting the user's basic body information, including height, weight, face; And for the collection of the user's exercise data, including at least one of the following: sports, exercise volume, exercise duration;
[0058] Faculty module 112, for recording teaching qualification data of faculty members, including teaching quality index, user evaluation index;
[0059] The management system further comprises:
[0060] Processing unit 102, for data cleaning and processing of the data collected by the recording unit 101, to obtain an effective data set;
[0061] Analysis unit 103, according to the data obtained by the processing unit, the user currently in the active state is matched with the instructor;
[0062] Storage unit 104, configur...
Embodiment 2
[0091] This embodiment should be understood to include at least all the features of any one of the foregoing embodiments, and further improved on its basis;
[0092] For users entering sports venues, may include such as community sports parks, residential quarters of the residents' clubhouse, gyms, etc., to improve the user experience of such sports venues and the efficiency of the work efficiency of the instructors, further improvements in the present embodiment;
[0093] Wherein, the user module 111 includes a measuring device disposed at the entrance of the venue, measuring the height and weight of the user entering the sports venue; Including the use of magnetic induction cards to identify user identification information and further retrieval of basic user information; Including the use of face recognition devices, such as depth cameras, infrared cameras, holographic cameras and other devices, to identify user identity information; And, by identifying the user, including furthe...
Embodiment 3
[0097] This embodiment should be understood to include at least all the features of any one of the foregoing embodiments, and further improved on its basis;
[0098] Based on the subjective feelings of each user to each instructor, the user evaluation index C that generates the user to the instructor contains a large number of subjective factors; Thus, by adding a user-based evaluation weight in the user evaluation index C, the user is more likely to be arranged to obtain the preferred instructor to give the opportunity to teach;
[0099]In one embodiment, comprising a user number x 1 、x 2 、x 3 of three users, and instructor number y 1 、y 2 、y 3 of three instructors, wherein, three users are given to the three instructors of the said user evaluation index C as shown in the following table:
[0100]
[0101] The user evaluation index C is based on a 10-point system as the full score of the instructors, the higher the score represents the user's preference degree of the instructor...
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