Intelligent employee training platform

Abstract

The invention discloses an employee intelligent training platform which comprises an employee training system and an employee training management system. The employee training system comprises an employee initial information input module, a data transmission module, a course recommendation module, a course learning module and a training module; the training module is used for training the employees according to the training process provided by the employee training management system; the employee training management system comprises a training content library, a data transmission module, an employee management module, a lecturer management module, a user management module, a training process management module and an employee training result evaluation module; the training process management module comprises a plurality of course process node modules, a process management module and a process adjustment module. The system can intelligently manage students, intelligently and systematically cultivate employees, reasonably plan occupational posts for the employees, obtain talents for enterprises to the maximum extent, and obtain bidirectional satisfaction results of the employees of the enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of employee training, and in particular to an employee intelligent training platform. Background Art

[0002] At present, there are some core problems in the implementation of regular corporate training, which are explained from three dimensions as follows: (I) Cost and efficiency issues: 1. High training costs: Offline corporate training often requires renting venues, purchasing equipment, arranging instructor travel, etc., which will bring high cost expenditures. 2. Time and location restrictions: Offline training usually requires employees to participate at a fixed time and place, lacking flexibility, which may cause some employees to be unable to participate or unable to participate in the training activities throughout the process. (II) Training content and quality issues: 1. Untimely updates: With the development of the industry and technological changes, knowledge and skills need to be constantly updated. The content of offline training may not keep up with the changes in time, thus affecting the training effect. 2. Insufficient personalized training: Offline training often has a fixed set of course systems, which may be difficult to meet the personalized needs of different employees, resulting in unsatisfactory training results. (III) Training management and evaluation issues: 1. Management difficulty: Offline training involves many aspects of work such as venue arrangement, personnel coordination, and material preparation. It is difficult to manage and prone to organizational and coordination problems. 2. Inaccurate evaluation results: The evaluation of offline training results often relies on written tests or subjective evaluations, which may not accurately reflect employees’ learning progress and practical application capabilities during the training process.

[0003] In summary, offline corporate training has certain problems in terms of cost and efficiency, training content and quality, and training management and evaluation. Smart training platforms can effectively solve these problems and provide enterprises with more efficient, personalized and easy-to-manage training solutions. However, the current online smart training platform has the following problems: the entire platform is not flexible enough, and the platform is difficult to maintain due to the large number of user types and complex business. In addition, due to the different types of enterprises and different types of employee occupations, the required training capabilities are also different, and it is not convenient for employees to adjust their career planning. Therefore, there is an urgent need for an employee smart training platform that can intelligently manage trainees, intelligently and systematically train employees, combine online and offline, and reasonably plan career positions for employees to maximize the acquisition of talents for enterprises. Summary of the invention

[0004] In order to overcome the above-mentioned shortcomings of the prior art, the present invention proposes an employee intelligent training platform, which can intelligently manage trainees, intelligently and systematically train employees, and reasonably plan career positions for employees, so as to maximize the acquisition of talents for the enterprise and obtain mutually satisfactory results for the enterprise employees.

[0005] The technical solution adopted by the present invention to solve its technical problem is: an employee intelligent training platform, including an employee training system and an employee training management system;

[0006] The employee training system includes an employee initial information input module, a data transmission module, a course recommendation module, a course learning module, and a training module; the employee initial information input module is used to input the employee's basic information; the course recommendation module is used to recommend several courses and learning paths for the position based on the employee's basic information; the course learning module is used for employees to select courses and learn by referring to the courses recommended by the course recommendation module; the training module is used for employees to receive training according to the training process provided by the employee training management system;

[0007] The employee training management system includes a training content library, a data transmission module, an employee management module, a lecturer management module, a user management module, a training process management module, and an employee training result evaluation module; the training content library is used to store all courses and learning paths, and is also used to add, delete, modify, and search for courses and learning paths; the employee management module is used to store and manage training employee information; the lecturer management module is used to store and manage lecturer information; the user management module is used to manage all user information; the training process management module includes several course process node modules, a process management module, and a process adjustment module, the course process node module is used to formulate and summarize the key nodes required for training work according to positions and courses; the process management module is used to formulate processes based on courses combined with course process node modules; the process adjustment module is used to adjust the career planning and intelligently change the training process for individual trainees; the employee training result evaluation module is used to score employees after the completion of employee training;

[0008] The data transmission module of the employee training system and the data transmission module of the employee training management system are used for data exchange between the employee training management system and the employee training system.

[0009] Furthermore, the employee training system also includes a course browsing module, which is used to browse and learn all courses and learning paths.

[0010] Furthermore, the specific method of the course recommendation module for recommending courses and learning paths based on the basic information of employees upon joining the company is as follows: converting massive amounts of historical basic information of employees upon joining the company into data, and analyzing the basic information of employees upon joining the company that has confirmed courses and learning paths and has undergone data conversion to obtain a course recommendation model, and converting the input basic information of employees upon joining the company into data and inputting it into the course recommendation model to obtain courses and learning paths.

[0011] Furthermore, the training process management module includes a sign-in module, a feedback module, a class management module, a scenario simulation module, a practice module, an examination module, a remote training module, a statistical analysis module, and an employee planning adjustment suggestion module;

[0012] The examination module can test employees and obtain the course scores; the check-in module includes an employee check-in module and a lecturer check-in module; the employee check-in module can obtain the employee's attendance rate for the course; the feedback module includes an employee feedback module and a lecturer feedback module; the employee feedback module can obtain the employee's interest in the course; the lecturer feedback module can obtain the employee's adaptation score.

[0013] Furthermore, the employee planning adjustment suggestion module is used to adjust the employee courses according to the scoring adjustment method and then send it to the process adjustment module; the scoring adjustment method includes the following steps: pre-making a table that associates positions with the range of scores of several courses as a scoring table, and setting the weights of each course according to grades, attendance rate, interest, adaptation score and the set degree of employee requirements for the company's positions to establish a weight model; statistically analyzing the historical training processes of the courses that have been determined to be adjusted according to the weight model, confirming the weights of the courses corresponding to grades, attendance rate, interest, adaptation score and the set degree of employee requirements for the company's positions; finally, calculating the score of each course according to the weight and the obtained grades, attendance rate, interest, adaptation score and the set degree of employee requirements for the company's positions, and adjusting the employee's position and course according to the scoring table.

[0014] A method for employee training using an employee smart training platform comprises the following steps:

[0015] Establishing a training content library; the training content library stores all courses and learning paths;

[0016] Formulate key points for the execution of inductive training according to positions and courses;

[0017] Develop processes based on the course and course process node modules;

[0018] Employees enter basic information about their employment;

[0019] Recommend several courses and learning paths for the position based on the basic information of the employee;

[0020] Employees select positions and courses;

[0021] Conduct training according to the process and adjust the career planning of individual employees to intelligently change the training process;

[0022] Employees are scored after their training is completed.

[0023] Furthermore, the course process nodes include sign-in, feedback, class management, scenario simulation, practice, examination, remote training, statistical analysis, and employee planning adjustment suggestions.

[0024] Furthermore, during the training process, employees can also browse and learn all courses and learning paths.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. The present invention uses the course process node module to summarize the key nodes required for training work according to the positions and courses. The training process can be established by sorting the key nodes. The training process can be set according to the positions, which is highly flexible and can adapt to a variety of positions and enterprises.

[0027] 2. The course recommendation module of the present invention recommends courses and learning paths based on the basic information of employees entering the company, which facilitates employees to select positions and optimizes the company's employee training process.

[0028] 3. The employee planning adjustment suggestion module of the present invention flexibly sets weights through intelligent algorithms, and calculates the score of each course based on grades, attendance rate, interest, adaptation score, and the degree of employee requirements for the set company positions, and adjusts the employee's position and course according to the score table, solving the problem that it is inconvenient for employees to adjust their career position planning due to different types of enterprises, different types of employee occupations, and different directions of required training capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below.

[0030] Figure 1 This is a structural diagram of an employee intelligent training platform according to Embodiment 1 of the present invention;

[0031] Figure 2 This is a flow chart of a method for performing employee training on an employee intelligent training platform according to a second embodiment of the present invention. DETAILED DESCRIPTION

[0032] The technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all of the embodiments. Based on the embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the present invention.

[0034] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0035] Embodiment 1:

[0036] like Figure 1 As shown, an embodiment of the present invention provides an employee intelligent training platform, including an employee training system and an employee training management system;

[0037] The employee training system can be installed on smart devices such as mobile phones or tablets, including employee initial information input module, data transmission module, course recommendation module, course learning module, and training module. The employee initial information input module is used to input the basic information of employees upon joining the company. The course recommendation module is used to recommend several courses and learning paths for the position based on the basic information of employees upon joining the company. The course learning module is used for employees to select courses and study by referring to the courses recommended by the course recommendation module. The training module is used for employees to receive training according to the training process provided by the employee training management system.

[0038] The employee training management system includes a training content library, a data transmission module, an employee management module, a lecturer management module, a user management module, a training process management module, and an employee training result evaluation module. The training content library is used to store all courses and learning paths, and is also used to add, delete, modify, and search for courses and learning paths. The employee management module is used to store and manage training employee information. The lecturer management module is used to store and manage lecturer information. The user management module is used to manage all user information. The training process management module includes several course process node modules, a process management module, and a process adjustment module. The course process node module is used to formulate and summarize the key nodes required for training work according to positions and courses. The process management module is used to formulate processes based on courses combined with the course process node module. The process adjustment module is used to adjust the career planning and intelligently change the training process for individual employees. The employee training result evaluation module is used to score employees after the employee training is completed.

[0039] The data transmission module of the employee training system and the data transmission module of the employee training management system are used for data exchange between the employee training management system and the employee training system.

[0040] The employee training system also includes a course browsing module, which is used to browse all courses and learning paths.

[0041] The specific method of the course recommendation module for recommending courses and learning paths based on the basic information of employees upon joining the company is as follows: converting massive amounts of historical basic information on employees upon joining the company into data, and analyzing the basic information on employees whose courses and learning paths have been confirmed and converted into data to obtain a course recommendation model; converting the input basic information on employees upon joining the company into data and inputting it into the course recommendation model to obtain courses and learning paths.

[0042] The training process management module includes the sign-in module, feedback module, class time management module, scenario simulation module, practice module, examination module, remote training module, statistical analysis module, and employee planning adjustment suggestion module;

[0043] The examination module can test employees and obtain the course scores; the check-in module includes an employee check-in module and a lecturer check-in module; the employee check-in module can obtain the employee's attendance rate for the course; the feedback module includes an employee feedback module and a lecturer feedback module; the employee feedback module can obtain the employee's interest in the course; the lecturer feedback module can obtain the employee's adaptation score.

[0044] The employee planning adjustment suggestion module is used to adjust employee courses according to the scoring adjustment method and then send it to the process adjustment module; the scoring adjustment method includes the following steps: pre-prepare a table that associates positions with the range of scores for several courses as a scoring table, and establish a weight model based on the weights of each course according to grades, attendance, interest, adaptation scores, and the set degree of employee requirements for company positions; statistically analyze the historical training processes of the courses that have been determined to be adjusted according to the weight model, and confirm the weights of the courses corresponding to grades, attendance, interest, adaptation scores, and the set degree of employee requirements for company positions; finally, calculate the score of each course based on the weight and the obtained grades, attendance, interest, adaptation scores, and the set degree of employee requirements for company positions, and adjust the employee's position and course according to the scoring table.

[0045] Embodiment 2:

[0046] like Figure 2 As shown, a method for employee training using an employee smart training platform according to an embodiment of the present invention includes the following steps:

[0047] Establishing a training content library; the training content library stores all courses and learning paths;

[0048] Summarize the key nodes that need to be executed for training work based on positions and courses; key nodes include sign-in, feedback, class management, scenario simulation, practice, examination, remote training, statistical analysis, and employee planning adjustment suggestions.

[0049] Develop processes based on the course and course process node modules;

[0050] Employees enter basic information about their employment;

[0051] Recommend several courses and learning paths for the position based on the basic information of the employee;

[0052] Employees select positions and courses;

[0053] Conduct training according to the process and adjust the career planning of individual employees to intelligently change the training process;

[0054] After the employee training is completed, the employee is scored. In this embodiment, the employee is scored after the instructor conducts a comprehensive offline assessment.

[0055] During the training process, employees can also browse and learn all courses and learning paths.

[0056] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An employee intelligent training platform, characterized in that: Including employee training system and employee training management system; The employee training system includes an employee initial information input module, a data transmission module, a course recommendation module, a course learning module, and a training module; the employee initial information input module is used to input the employee's basic information; the course recommendation module is used to recommend several courses and learning paths for the position based on the employee's basic information; the course learning module is used for employees to select courses and learn by referring to the courses recommended by the course recommendation module; the training module is used for employees to receive training according to the training process provided by the employee training management system; The employee training management system includes a training content library, a data transmission module, an employee management module, a lecturer management module, a user management module, a training process management module, and an employee training result evaluation module; the training content library is used to store all courses and learning paths, and is also used to add, delete, modify, and search for courses and learning paths; the employee management module is used to store and manage training employee information; the lecturer management module is used to store and manage lecturer information; the user management module is used to manage all user information; the training process management module includes several course process node modules, a process management module, and a process adjustment module, and the course process node module is used to formulate and summarize the key nodes required for the execution of training work according to positions and courses; The process management module is used to formulate processes according to the course in combination with the course process node module; The process adjustment module is used to adjust the career planning and intelligently change the training process for individual employees; the employee training result evaluation module is used to score employees after the employee training is completed; The data transmission module of the employee training system and the data transmission module of the employee training management system are used for data exchange between the employee training management system and the employee training system.

2. The employee intelligent training platform according to claim 1, characterized in that: The employee training system also includes a course browsing module, which is used to browse and learn all courses and learning paths.

3. The employee intelligent training platform according to claim 1, characterized in that: The specific method of the course recommendation module for recommending courses and learning paths based on the basic information of employees upon joining the company is as follows: massive historical basic information of employees upon joining the company is converted into data, and the basic information of employees upon joining the company that has confirmed courses and learning paths and has undergone data conversion is analyzed to obtain a course recommendation model, and the input basic information of employees upon joining the company is converted into data and then input into the course recommendation model to obtain courses and learning paths.

4. The employee intelligent training platform according to claim 1, characterized in that: The training process management module includes a sign-in module, a feedback module, a class management module, a scenario simulation module, a practice module, an examination module, a remote training module, a statistical analysis module, and an employee planning adjustment suggestion module; The examination module can test employees and obtain the course scores; the check-in module includes an employee check-in module and a lecturer check-in module; the employee check-in module can obtain the employee's attendance rate for the course; the feedback module includes an employee feedback module and a lecturer feedback module; the employee feedback module can obtain the employee's interest in the course; the lecturer feedback module can obtain the employee's adaptation score.

5. The employee intelligent training platform according to claim 1, characterized in that: The employee planning adjustment suggestion module is used to adjust the employee courses according to the scoring adjustment method and then send it to the process adjustment module; The scoring adjustment method includes the following steps: pre-making a table that associates positions with the range of scores for several courses as a scoring table, and establishing a weight model by setting the weights of each course according to grades, attendance rate, interest, adaptation score, and the set degree of employee requirements for company positions; statistically analyzing the historical training processes of the courses that have been determined to be adjusted according to the weight model, and confirming the weights of the courses corresponding to grades, attendance rate, interest, adaptation score, and the set degree of employee requirements for company positions; finally, calculating the score of each course according to the weight and the obtained grades, attendance rate, interest, adaptation score, and the set degree of employee requirements for company positions, and adjusting the employees' positions and courses according to the scoring table.

6. A method for employee training using an employee smart training platform, comprising the following steps: Establishing a training content library; the training content library stores all courses and learning paths; Formulate key points for the execution of inductive training according to positions and courses; Develop processes based on the course and course process node modules; Employees enter basic information about their employment; Recommend several courses and learning paths for the position based on the basic information of the employee; Employees select positions and courses; Conduct training according to the process; Adjust career planning and intelligently change training processes for individual trainees; Employees are scored after their training is completed.

7. The method for employee training using an employee intelligent training platform according to claim 6, characterized in that: The course process nodes include sign-in, feedback, class management, scenario simulation, practice, examination, remote training, statistical analysis, and employee planning adjustment suggestions.

8. The method for employee training using an employee intelligent training platform according to claim 6, characterized in that: During the training process, employees can also browse and learn all courses and learning paths.

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