TWM615653U - Intelligent training system - Google Patents

Abstract

The intelligent training system includes an education management device and a course construction device coupled to the education management device. The course construction device is used to select at least one target colleague from a plurality of personal data stored in the education management device. The course construction device builds an education training model according to the personal data of the target colleague. The education management device selects a trainee from these personal data and generates a corresponding training course for the trainee from the education training course model based on the personal data of the trainee.

Description

Intelligent training system

This creation is a training system, especially about an intelligent training system.

In recent years, companies have introduced various management systems to enhance the company's existing resources to improve their competitiveness in order to improve their operating efficiency. Among the company's various resources, human resources are the most important, so companies generally invest the most in human resources, such as educating and training company personnel to improve their skills.

However, the current education and training methods are all passive training and training. Training courses are developed by the company and then executed by various business units. The courses are enrolled in accordance with manpower and business needs. Since the education and training supervisor cannot fully understand the real course needs of the trainers, the courses offered by the traditional education and training often depend on the personal subjective factors of the education and training supervisor and the objective education and training resource allocation, and cannot achieve the benefits of truly optimizing the trainers. .

Therefore, how to solve the above problems and improve the effectiveness of education and training is worth considering for those with ordinary knowledge in this field.

An implementation aspect of this case is to provide an intelligent training system, including an education management device; and a course construction device coupled to the education management device, wherein the course construction device is used for a plurality of individuals stored in the education management device At least one target colleague is selected from the data, and an education training course model is constructed based on the target colleague’s personal information. The education management device selects a trainee from the personal information, and the education management device selects a trainee from the personal information of the trainee. The training course model generates a corresponding training course for the trainee.

In one embodiment, the education management device has a storage element, wherein the storage element stores the personal data, each of the personal data includes at least the number of hours of education training courses, the background information of a person, the age, and the certificates possessed And work ability indicators.

In one embodiment, the work ability indicator is an indicator evaluated based on a balanced score card, a key performance indicator, a goal management, a functional management, or a benchmark reference.

In one embodiment, the target colleague is the personal data of at least colleague with the highest work ability index for each business unit.

In one embodiment, the course construction device further includes a data collection module, wherein the data collection module is used to collect the personal data through the storage element to select the personal data according to the work ability indicator in the personal data At least one target colleague.

In one embodiment, the course construction device further includes a course model construction module, wherein the course model construction module is coupled to the data collection module to search for the at least one target colleague individual based on the data collection module Data to construct the educational training curriculum model.

In one embodiment, the course construction device further includes a data processing element, wherein the data processing element is used to filter the personal data of the at least one target colleague.

In one embodiment, the course model construction module selects at least one model from a model pool, and modifies the parameters of the at least one model according to the filtered personal data of at least one target colleague to establish the education training course model.

In one embodiment, the at least one model is a logistic regression model, a normalized regression model, a gray prediction model, or a random forest algorithm model based on the R language.

In one embodiment, the educational training course model uses the personal background information, the age, and the possessed license of the trainee as input data to generate the educational training course and hours of the trainee.

Therefore, based on the technical content of this case, we can first use big data to analyze the personal data of the target colleague and the education and training courses received in his history to construct an education and training course model. And based on the education and training course model, corresponding education and training courses are generated according to the past background, age, licenses and characteristics of the selected personnel. According to this, the education and training courses of the selected personnel can be automatically generated according to the qualifications of the selected personnel, and the benefits of individual functional training can be achieved.

The following will clearly illustrate the spirit of this case with diagrams and detailed descriptions. Anyone with ordinary knowledge in the technical field who understands the embodiments of this case can change and modify the technology taught in this case without departing from the scope of this case. Spirit and scope.

The terms used herein are only to describe specific embodiments, and are not intended to limit the present application. Singular forms such as "一", "here", "here", "本" and "this", as used herein, also include plural forms.

Regarding the "coupling" or "connection" used in this text, it can mean that two or more components or devices are in direct physical contact with each other or indirectly in physical contact with each other, or it can mean that two or more components or devices are in physical contact with each other. Operation or action.

Regarding the "include", "include", "have", "contain", etc. used in this article, they are all open terms, which means including but not limited to.

Regarding the "and/or" used in this article, it includes any or all combinations of the aforementioned things.

Regarding the terms used in this article, unless otherwise specified, each term usually has the usual meaning when used in this field, in the content of this case, and in the special content. Some terms used to describe the case will be discussed below or elsewhere in this specification to provide those skilled in the art with additional guidance on the description of the case.

Figure 1 is a schematic diagram of the intelligent training system in an embodiment of the creation. In a preferred embodiment, the intelligent training system 100 includes an education management device 110 and a course construction device 120. The education management device 110 has a storage component 111 and a processing component 112. The storage component 111 stores the personal data of each employee of the company. Owned licenses and work ability indicators and their characteristics evaluated according to the performance management tools set by the company. In one embodiment, the storage element 111 may include one of the following storage media or any combination thereof: such as random access memory (Random Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM) or flash memory. The course construction device 120 is connected to the education management device 110. The course construction device 120 is used to set a target colleague based on the personal data of the employee in the storage element 111, and construct an education training course based on the personal data of the target colleague using big data analysis. In an exemplary implementation form of this creation, the target colleague is the personal data of the at least colleague with the highest work capability index for each business unit. The processing device 112 in the education management device 110 selects a trainee according to the staff personal data stored in the storage component 111, and transmits the corresponding course constructed by the course construction device 120 to the trainee. In an exemplary implementation form of the present creation, the processing device 112 selects trainees based on the work ability index in the employee's personal data stored in the storage component 111. In one embodiment, the processing element 112 is a processor with a single or multiple processing cores, such as a central processing unit (CPU), or other programmable general-purpose or special-purpose microcomputers. A processor (Microprocessor), a digital signal processor (DSP), a programmable controller, and an Application Specific Integrated Circuit (ASIC) are used to process arithmetic tasks according to received instructions.

Figure 2 is a schematic diagram of the course construction device in an embodiment of the creation. The course construction device 120 includes a data collection module 121, a course model construction module 122 and a data processing component 123. The data collection module 121 can collect, through the storage element 111 of the education management device 110, the hours of education and training courses, past background, age, certificates possessed, work ability indicators, and characteristics of each employee. In one of the exemplary implementation types of this creation, the performance management tool can be a balanced scorecard, key performance indicators, management by objectives, competence management, or Benchmarking. The collected past background, age, licenses, work ability, and characteristics of each employee collected will be imported into the data collection module 121 in the form of big data. According to this, the data collection module 121 can, based on these data, in each business unit according to the performance management tool to evaluate the work ability indicators, and each business unit has at least the best work ability indicators for each job A staff member searched out colleagues as the target for constructing the curriculum. The course model construction module 122 is coupled to the data collection module 121, and constructs an education training course model for each business unit and each job based on at least one employee's personal data searched by the data collection module 121. In one embodiment, the courses for each job are, for example, courses for corporate finance, foreign exchange, science college, foreign exchange deposit, and overseas personnel.

In an exemplary implementation form of this creation, the method for the course model construction module 122 to construct the education training course model is disclosed as follows. Of course, the method for constructing an educational training model is only an embodiment, and is not intended to limit the case. First, the course model construction module 122 uses the target colleague data collected by the data collection module 121 to create a training data set in the data processing component 123 and prepare the data before modeling. The steps of creating the training data set include data sorting and cleaning. Data cleaning is mainly used to filter out data that does not meet the requirements, such as incomplete data, erroneous data, and duplicate data, so as to produce a data summary table. The course model construction module 122 can establish an education training course model based on the data processed by the data processing component 123. The curriculum model construction module 122 first selects a model group from the model pool, and builds models on the data processed by the data processing component 123 according to the data collection models in the model group. In an embodiment, the model group includes, for example, logistic regression models, normalized regression models, gray prediction models, and random forest algorithm models based on R language. However, the above model is only an embodiment and is not intended to limit the scope of this case. The type of model used. Then, the course model construction module 122 selects a suitable model from the model pool to remodel the obtained target colleague data according to the obtained target colleague data and the training course result to be output through modeling. For example, select a model group from the model pool to build educational training course models, including logistic regression models, regularized regression models, gray prediction models, and random forest algorithm models based on the R language. According to each selected model, the target colleague data is remodeled separately. In a specific embodiment, the target colleague data is brought into the model for calculation, and the parameters of the original model are modified through the calculation to obtain a remodeled model. Then, the course model construction module 122 can use the model with the smallest difference from the training course result to be output as the education training course model. In one of the exemplary implementation types of this creation, the target colleague’s past background, age, licenses and characteristics can be used as input data, and the target colleague’s educated training course hours can be used as the output result to construct the educational training course model. mold. After the educational training course model is established, the processing device 112 in the education management device 110 can select trainees according to the personal data of the staff stored in the storage element 111, and then the past background, age, licenses and characteristics of the selected personnel As input data, it is input into the established educational training course model, and the corresponding educational training courses and hours can be obtained accordingly. That is to say, it is necessary to have similar work ability indicators with the target colleagues, corresponding to the education and training courses and the number of hours that should be received.

This creative intelligent training system can first use big data to analyze the personal data of the target colleague and the education and training courses he has received in his history to construct an education and training course model. And based on the education and training course model, corresponding education and training courses are generated according to the past background, age, licenses and characteristics of the selected personnel. According to this, the education and training courses of the selected personnel can be automatically generated according to the qualifications of the selected personnel, and the benefits of individual functional training can be achieved. Solve the traditional passive training or dispatching method of education and training courses decided by the education and training supervisor.

Although this case is disclosed as above with examples, it is not intended to limit the case. Anyone who is familiar with this technique can make various changes and modifications without departing from the spirit and scope of this case. Therefore, the scope of protection of this case should be attached hereafter. The scope of the patent application shall prevail.

100: Intelligent training system 110: Education Management Device 111: storage components 112: processing components 120: Curriculum Construction Device 121: Data Collection Module 122: Curriculum Model Construction Module 123: data processing components

The drawings here are incorporated into the specification and constitute a part of the specification. These drawings show embodiments in accordance with the present invention and are used together with the specification to illustrate the technical solutions of the embodiments of the present invention. Figure 1 is a schematic diagram of the intelligent training system in an embodiment of the creation. Figure 2 is a schematic diagram of the course construction device in an embodiment of the creation.

100: Intelligent training system

110: Education Management Device

111: storage components

112: processing components

120: Curriculum Construction Device

Claims (10)

An intelligent training system, including: An education management device that stores a plurality of personal data; and A curriculum construction device coupled to the education management device, The course construction device is used for selecting at least one target colleague from the personal data stored in the education management device, and constructing an education training course model according to the personal data of the target colleague, The education management device selects a trainee from the personal data, and generates a corresponding training course for the trainee from the education training course model according to the personal data of the trainee. The intelligent training system according to claim 1, wherein the education management device has a storage element, wherein the storage element stores the personal data, each of the personal data includes at least the number of hours of education training courses and one person Background information, age, certificates and work ability indicators. The intelligent training system according to claim 2, wherein the work ability indicator is an indicator evaluated based on a balanced scorecard, a key performance indicator, a target management, a functional management, or a benchmark. The intelligent training system according to claim 3, wherein the target colleague is the personal data of the at least colleague with the highest work ability index in each business unit. According to the intelligent training system of claim 2, wherein the course construction device further includes a data collection module, wherein the data collection module is used to collect the personal data through the storage element, and then according to the information in the personal data For the work ability index, select the at least one target colleague. The intelligent training system according to claim 5, wherein the course construction device further includes a course model construction module, wherein the course model construction module is coupled to the data collection module to search for data from the data collection module The personal data of the at least one target colleague constructs the education training course model. The intelligent training system according to claim 6, wherein the course construction device further includes a data processing element, wherein the data processing element is used to filter the personal data of the at least one target colleague. The intelligent training system according to claim 7, wherein the course model construction module selects at least one model from a model pool, and modifies the parameters of the at least one model according to the personal data of the at least one target colleague after filtering to Establish the educational training course model. The intelligent training system according to claim 8, wherein the at least one model is a logistic regression model, a normalized regression model, a gray prediction model, or a random forest algorithm model based on the R language. The intelligent training system according to claim 9, wherein the education training course model uses the personal background information, age, and ownership of the trainee as input data to generate the education training course for the trainee. Just in time.

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