Training class forming method

Abstract

The invention relates to the field of class forming technology. An artificial method is used for forming a class in an existing training institute. The artificial method has defects of high class forming complexity, long class forming time and low class forming success rate, thereby causing low field utilization rate and non-saturated workload of a teacher. Because the field and the teacher are rigid cost of the training institute, high price of the training course is caused and finally mass and benefit of a training market are severely affected. For aiming at the problems, the invention provides a training class forming method. According to the method, a class forming system is established based on a computer application or a mobile phone application. Then the class forming system is used for realizing matching between a personal user training requirement and an institute user supplying, thereby realizing automatic class forming. The class forming system comprises a personal user end, an institute user end and a server end. The method of the invention can realize automatic class forming and in-time notification of a training class, thereby realizing no requirement for artificial matching and artificial notification, reducing matching complexity, improving class forming success rate, and improving positive development of a training institute market.

Description

technical field [0001] The invention relates to the technical field of class formation, in particular to a training class formation method. Background technique [0002] At present, training institutions (such as fitness institutions that offer sports training courses, educational institutions that offer training courses such as English and music) aim at multi-person training course products for non-targeted students, and the general opening process is as follows: [0003] 1. First manually register the demand information of the students, and record the courses, dates, time periods and the total number of acceptable training courses for each student; [0004] 2. The training institution manually screens and matches according to the registered student demand information. After the intersection is generated, it matches with the training venues and training teachers available within the institution. If the match is successful, it confirms that the training course meets the open...

AI Technical Summary

Problems solved by technology

[0007] 1. The demand information of different students is complicated, and the timeliness of the demand information is not high, and the manual matching process is difficult to match;

[0008] 2. After the matching of student demand information is completed, it is necessary to carry out secondary information matching on the training venues and training teachers within the institution, which further increases the difficulty of matching, resulting in a low matching success rate;

[0009] 3. Since there are no hard constraints on the acquisition of demand information, the demand information of students can change at any time, and there is uncertainty. Therefore, when the opening conditions are met, a second check with the students is still required. Once the information of student needs changes during the verification process, Then it is necessary to re-start the matching, resulting in a low success rate of starting the class;

[0010] 4. Due to the low success rate of opening classes, and the training venue and training teachers are the rigid costs of the training institution, the enterprise cost of the training institution remains high;

[0011] 5. The enterprise cost of training institutions remains high, which makes the price of training courses remain high, and ultimately severely restricts the scale and efficiency of the training institution market

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