KR102591285B1 - Education system for job performance - Google Patents

Abstract

Disclosed is a job training platform system including a server device that provides job training content corresponding to a plurality of subjects for infant and toddler education.

Description

Job training platform system{EDUCATION SYSTEM FOR JOB PERFORMANCE}

The present invention relates to a job training platform system.

In Korean Patent Publication No. 10-2011-0079252, a web server that allows or authenticates a learner with a user terminal to access via the Internet; and a learner connected through the web server is included in the course list. A video learning unit that provides a video lecture to the learner when a lecture is selected; a learning management unit that provides questions for learning evaluation (skill test) to learners who have completed the video study and individually creates commentary icons for incorrectly answered questions in response to automatic scoring of the learning evaluation; A 'learning management system for online lectures' is disclosed, which includes a database that stores information about the learner, information about the course list, video lecture information, problem information, and explanation video information.

However, in the above prior art, educational information in a specific field designated by an educational institution is unilaterally provided without related information such as talent or industry group according to the diversification of the industry, so that learners can more quickly and systematically obtain the educational information necessary to perform a specific job. There was a problem that you encountered difficulties when trying to find a course that suited your level.

One aspect of the present invention discloses a job training platform that provides customized educational content for infant and toddler education.

Another aspect of the present invention discloses a job training platform that includes the function of selling daycare teaching aids, etc.

The technical problem of the present invention is not limited to the technical problem mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

The system of the present invention includes a server device that provides job training content corresponding to a plurality of subjects for infant and toddler education.

Meanwhile, the server device, according to the user's request, provides new child adaptation education method, toilet training education method, prop education method, musical instrument education method, food ingredient search method, body play method, food play method, and natural observation method through the user terminal. An educational content provision department that provides job training content for each subject: play method, recycling method, coding education method, elementary school preparation education method, and Korean language education method; A job data provision unit that provides job data including home correspondence, drawings, education plans, observation logs, and document preparation tools to the user terminal upon the user's request; Stores and stores information about specialized instructors, including specialty areas, contact information, available dates, available hours, name, region of residence, and career history, among art, music, physical education, English, science, coding, blocks, and cooking. A specialty teacher matching unit that compares specialty teacher job request information received from a user terminal with stored specialty teacher information, extracts specialty teacher information matching the specialty teacher job request information, and provides the extracted specialty teacher information to the user terminal; And a field learning matching unit that extracts and provides field learning information according to field learning matching request information from the user terminal,

The training content provider receives one or more subjects from a plurality of job training content subjects from the user terminal, and provides detailed information including the training period, activity goal, training course, and attached materials of the selected job training content, , Request and receive payment information for viewing job training content from the user terminal, and if payment according to the payment information is approved, provide the selected job training content to the user terminal,

The field study matching unit stores a plurality of field study information including program name, representative number, cost, time required, and address, and field study matching including cost, area, maximum travel distance, and number of people from the user terminal. Request information may be received, a plurality of field study information and field study matching request information may be compared to extract at least one field study information as primary matching data, and the extracted primary matching data may be provided to the user terminal.

In addition, the educational content provision department updates job data at a predetermined period, crawls news-providing websites on a daily basis to calculate the number of news articles related to infants and toddlers, and crawls policy-data-providing websites on a daily basis to determine policies related to infants and toddlers. Calculate the number, calculate the increase/decrease rate of the number of news articles and policies related to infants and toddlers per day, and if the increase/decrease rate is calculated above the highest threshold or below the lowest threshold, perform additional job data updates,

The field study matching unit uses the number of users by weather for each field trip, the number of users by date, the increase/decrease rate of the number of users, and the rating as input data, and predicts the number of field trip users according to a specific date and weather forecast and outputs it as output data. Includes a neural network, uses the artificial neural network to predict the number of users for the primary matching data on a specific date and weather forecast, and predicts the number of users and the average number of weekend users for field trips corresponding to the primary matching data. The difference is calculated, and if the calculated difference in the number of users is greater than the threshold, the field trip can be extracted as secondary matching data, and the extracted secondary matching data can be provided to the user terminal.

According to one aspect of the present invention described above, a customized education platform for infant and toddler educators is provided to enable appropriate education, and information such as job-related materials or product purchases, specialized teacher matching, and field learning matching is also provided to improve work efficiency. It can help you with your work by increasing your

Figure 1 is a conceptual diagram of a job training platform system according to an embodiment of the present invention.
Figure 2 is a conceptual diagram of the server device shown in Figure 1, and Figures 3 to 11 are examples of job training platform execution screens according to the present invention.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various different forms. The present embodiments only serve to ensure that the disclosure of the present invention is complete and that common knowledge in the technical field to which the present invention pertains is not limited. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other components, steps and operations.

Figure 1 is a conceptual diagram of a job training platform system according to an embodiment of the present invention.

Referring to Figure 1, the job training platform system 1 according to an embodiment of the present invention may include a server device 100, a user terminal 200, and a network 300.

The server device 100 may be its own server, a cloud server, or a p2p (peer-to-peer) set of distributed nodes for providing the job training platform according to the present invention.

The server device 100 may perform one or more of the calculation, storage, reference, input/output, and control functions of a general computer, and may include an artificial neural network to be described later based on input data.

Server device 100 may include a processor and memory. The processor can perform the job training platform according to the present invention and may include devices that can perform the job training platform. The processor may execute programs or control the server device 100. Program code executed by the processor may be stored in memory. The memory may store relevant information for performing the job training platform according to the present invention or a program for implementing the method. The memory may be volatile memory or non-volatile memory.

The server device 100 may send data to or receive data from an external device using the network 300.

The server device 100 provides a job training platform according to the present invention and, for example, can provide training content upon receiving training content request information from the user terminal 200. In addition, job-related information provision services, job-related product sales services, and field learning matching services can be provided.

The server device 100 can train an artificial neural network or use a trained artificial neural network. The processor can train or execute an artificial neural network stored in memory, and the memory can store a trained artificial neural network. The electronic device that trains the artificial neural network and the electronic device that uses it may be the same, but may also be separate.

Artificial intelligence is a computer system that implements some of the functions of the human brain and can learn, guess, and make decisions on its own. As learning progresses, the probability of extracting an answer may increase. Artificial intelligence can be composed of learning and elemental technologies using it. Artificial intelligence learning is an algorithmic technology that classifies and learns features based on input data, and elemental technologies may be technologies that implement some of the functions of the human brain using learning algorithms.

Artificial intelligence is a technology that makes it easy to approach problems that can have multiple answers probabilistically, and can logically and probabilistically infer the optimal cycle, method, and plan according to any input data. Artificial intelligence's inference technology can include judging input data, optimization predictions, knowledge and probability-based reasoning, and preference-based planning.

Artificial neural network is one of the learning algorithms in the machine learning field and is a program that implements the connection between neurons and synapses in the brain. Artificial neural networks can be created through a program to create a neural network structure and then learn it to have the desired function. Although there may be errors, it is possible to learn based on huge data and output appropriate output data with input data. It has the advantage of being able to obtain output data with statistically good results and being similar to human reasoning.

The server device 100 may provide a field learning matching service based on artificial intelligence, and may include a plurality of artificial neural networks trained in advance for this purpose.

The user terminal 200 may include any terminal that can transmit and receive data through the network 300, such as a desktop computer, laptop, tablet, or smartphone.

The user terminal 200 may include one or more of the calculation function, storage function, reference function, input/output function, and control function of a computer in order to execute the job training platform according to the present invention.

The user terminal 200 can access a website or install an application to run the job training platform according to the present invention. The user terminal 200 and the server device 100 can exchange data through a website or application.

Network 300 refers to a network that transmits data by TCP/IP.

Figure 2 is a conceptual diagram of the server device shown in Figure 1, and Figures 3 to 11 are examples of job training platform execution screens according to the present invention.

Referring to FIG. 2, the server device 100 includes an educational content providing unit 110, a job data providing unit 120, a shopping mall operating unit 130, a specialty teacher matching unit 140, and a field learning matching unit 150. It can be included.

The educational content provider 110 may provide educational content to the user terminal 200 according to the user's request.

In this embodiment, the educational content is job training content for infant and toddler educators, for example, as shown in Figure 3, a new child adaptation education method, a toilet training education method, a prop education method, a musical instrument education method, a food ingredient search method, It can include physical play methods, food play methods, nature observation play methods, recycled product play methods, coding education methods, elementary school preparation education methods, Korean language education methods, etc.

The training content provider 110 may select one or more subjects from among the plurality of job training content subjects from the user terminal 200 and provide detailed information on the selected job training content.

In this embodiment, detailed information on job training content may include, for example, training period, activity goals, curriculum, attached materials, etc., as shown in FIG. 4.

The training content provider 110 requests and receives payment information for viewing job training content from the user terminal 200, and when payment according to the payment information is approved, provides job training content to the user terminal 200. You can.

Meanwhile, the education content provider 110 may evaluate the appropriateness of the user's selection of job training content subjects.

For example, the training content provider 110 may set and store a plurality of keyword words for each subject of job training content.

The educational content provider 110 may request and receive a survey text containing information about the user's career history from the user terminal 200. The educational content provider 110 may analyze the survey text and extract all stored keyword words. The training content provider 110 may extract keyword words for a specific job training content subject from among the extracted keyword words.

The education content provider 110 may calculate career scores for each subject of job training content.

[Equation 1]

In Equation 1, J _s means the career score for a specific job training content subject, w _i is the weight set for each user, T _k,y is the total number of keyword words extracted by analyzing the survey text, and k is the survey text. It refers to the number of keyword words for specific job training content subjects among keyword words extracted by analyzing.

Here, the educational content provider 110 may set the weight according to the user's career period. For example, the educational content provider 110 may set the weight in proportion to the user's career period. This is to take into account that even if a user does not have direct career information related to a specific job, indirect career information may exist if the overall career is long.

The training content provider 110 may calculate a career score for each of the plurality of job training content subjects and calculate an average score of the plurality of job training content subjects.

If the career score for the job training content subject selected by the user among a plurality of job training content subjects is below the average score, the training content provision unit 110 determines that the user's selection of the job training content subject is appropriate and provides a service for viewing the job training content. You can proceed to the payment step.

If the career score for the job training content subject selected by the user among a plurality of job training content subjects exceeds the average score, the training content provision unit 110 determines that the user's selection of the job training content subject is inappropriate and opens the job training content. Recommended information on other job training content subjects can be provided before proceeding with the payment step. For example, the recommended information may be a job training content subject with the lowest experience score.

The educational content provider 110 is efficient in terms of time and cost by providing users with customized job training content for infant and toddler education jobs.

The job data providing unit 120 may provide job data according to a request from the user terminal 200.

In this embodiment, job data may include, for example, home correspondence, drawings, educational plans, observation logs, and document preparation tools, as shown in FIG. 5.

The job data provision unit 120 updates job data at a predetermined period, but may perform additional job data updates according to news articles or policy changes related to infant and toddler education.

For example, the job data providing unit 120 may crawl a news providing website on a daily basis and calculate the number of news articles related to infants and toddlers. The job data provision unit 120 can calculate the number of policies related to infants and toddlers by crawling the policy data provision website on a daily basis. The job data provision unit 120 calculates the increase/decrease rate of the number of news articles and policies related to infants and toddlers per day, and if the increase/decrease rate is calculated above the highest threshold or below the lowest threshold, additional job data updates can be performed. there is.

In this way, the job data provision unit 120 provides quick job data updates according to infant-related issues, thereby improving work convenience.

The job data provider 120 may provide a design download service as shown in FIGS. 6 to 11.

Referring to Figures 6 to 11, categories of play themes, design types, and cut designs are provided, and a design download service can be provided in each category.

The job data provision unit 120 can provide a design download service by signing up for a flat-rate membership, and can provide keyword searches, designs by topic, and design by design.

The job data provision unit 120 provides efficient accessibility, provides editing tools, and provides illustrations and example photos organized by topic to increase convenience of use.

The shopping mall operation department 130 may provide sales services for job-related products.

In this embodiment, job-related products may include crafting materials, teaching materials, teaching aids, gifts, event products, stationery, safety products, etc.

The shopping mall operating unit 130 may provide a service that allows users to move to the relevant shopping mall page for each job-related product, as shown in FIG. 6 .

The specialty teacher matching unit 140 may extract specialty teacher information that matches the user's specialty teacher job request information from among the specialty teacher information registered for job search.

In this embodiment, a special teacher can be defined as a teacher in charge of education in art, music, physical education, English, science, coding, blocks, cooking, etc. Specialized teacher information may include name, area of residence, career details, specialty area, contact information, available dates, available hours, etc.

The specialty teacher matching unit 140 may receive request information for recruiting a specialty teacher from the user terminal 200. Request information for hiring a special teacher may include specialty field, available dates, available work hours, region, etc.

The specialty teacher matching unit 140 may compare the information on the specialty teacher registered as a job seeker and the information on the request for hiring a specialty teacher and extract the information on the specialty teacher that matches the request for job search for a specialty teacher.

Meanwhile, the specialty teacher matching unit 140 may include a teacher evaluation system.

The teacher evaluation system includes the first evaluation score, which is the score evaluated by the hiring agency that hired the special teacher, the second evaluation score, which is the score evaluated by the parents of the hiring agency that hired the special teacher, and the third evaluation score evaluated by experts. can do. The teacher evaluation system can help recruit specialized teachers by checking scores evaluated from various perspectives such as hiring agencies, parents, and experts.

As described above, the specialty teacher matching unit 140 can calculate the evaluation score for each specialty teacher based on the evaluation score from the hiring agency, the parent's evaluation score, and the expert's evaluation score. More specifically, the pre-class evaluation criteria, Evaluation scores can be calculated based on post-class evaluation standards and previous class standards. At this time, the comprehensive evaluation score is not simply a numerical score, but rather checks the evaluations of educational institutions, parents, and experts from various angles in recruiting the special teacher to enable a reasonable selection of the special teacher. In addition, it is possible to indirectly confirm training performance or satisfaction by reflecting the scores evaluated only on paper before training, the scores evaluated after training, and the scores evaluated by comparison with previous classes.

TP (Total Point) refers to the comprehensive evaluation score, EP refers to the educational institution's evaluation score, PP refers to the parent's evaluation score, and MP refers to the expert's evaluation score. EP, PP, and MP can each receive numerical scores from educational institutions, parents, and experts through the application. E1 may refer to the pre-class evaluation standard, E2 may refer to the post-class evaluation standard, and E3 may refer to the previous class standard.

[Equation 2]

[Equation 3]

The field study matching unit 150 may extract and provide field study information according to field study matching request information from the user terminal 200.

Field trip matching request information may include cost, area, maximum travel distance, number of people, etc. Field study information may include program name, representative number, cost, time required, address, etc.

The field study matching unit 150 may compare a plurality of pre-registered field study information and field study matching request information to extract at least one piece of field study information as primary matching data.

The field study matching unit 150 may calculate a matching score for specific field study information using an artificial neural network.

The field study matching unit 150 may generate the number of users by weather, the number of users by date, the increase/decrease rate of the number of users, and the rating as input data for specific field study information.

The field learning matching unit 150 may include a plurality of artificial neural networks that have been trained in advance to perform a machine learning algorithm. With machine learning, you can output output data based on input data and use the results to learn on your own, which can improve your own data processing ability. Artificial neural networks can extract features based on input data, infer regularities, and output result data. As this process accumulates, the reliability of the result data increases.

In this embodiment, the artificial neural network may be an algorithm that predicts the number of users at a specific point in time depending on the weather, date, and the rate of increase or decrease in the number of users. The artificial neural network can infer the best output data by using the number of users by weather, the number of users by date, and the increase/decrease rate of the number of users as input data or after going through a processing process to organize unnecessary data.

ve Bayes Classifier, Hidden Markov Model, K-Means Clustering 등이 사용될 수 있다.Depending on the type of learning, artificial intelligence machine learning models include Super Viser Learning, UnSuper Viser Learning, Semisupervised Learning, and Reinforcement Learning. And machine learning algorithms include Decision Tree, K-Nearest Nearest Bor, Artificial Neural Network, Support Vector Machine, Ensemble Learning, Gradient Descent, Na

ve Bayes Classifier, Hidden Markov Model, K-Means Clustering, etc. can be used.

Artificial neural networks can stack and connect numerous artificial neurons in several layers. The artificial neural network may be pre-trained on various input values that may be included in the input data. The artificial neural network can output output data by inferring the plane type according to the design requirement information input by the user.

An artificial neural network may be an artificial neural network that is learned according to reinforcement learning, one of the learning methods. Reinforcement learning is a method of gradually increasing the probability of obtaining the correct result by setting rewards and limits. For example, compared to conventional design data by the automatic design system according to this embodiment, maintenance can be made if an appropriate plan type is output, and restrictions can be assigned if the plan type is not appropriate, thereby allowing gradual optimization.

Artificial neural networks can also be modeled based on Convelutional Neural Network (CNN) or Recurrent Neural Network (RNN).

The field learning matching unit 150 can predict the number of users for field learning information corresponding to the first matching data by inputting the learning date, weather forecast, etc. into the artificial neural network. That is, the field study matching unit 150 can predict the number of users on the field study date by reflecting the field study date, weather forecast, increase/decrease in the number of users of the field study program, change in rating, etc.

The field trip matching unit 150 may calculate the difference between the predicted number of users and the average number of weekend users for the field trip. If the difference between the predicted number of users and the average number of weekend users for the field learning information is greater than a threshold, the field learning matching unit 150 may extract the field learning information as secondary matching data. In this embodiment, the goal is to conveniently use field trips crowded on weekends on weekdays, so field trips with a large difference between the number of users predicted on the field trip date and the number of weekend users can be recommended.

When secondary matching data is extracted, the field learning matching unit 150 provides secondary matching data to the user terminal 200, and when secondary matching data is not extracted, first matching data is provided to the user terminal 200. Data can be provided.

The job training platform system (1) according to an embodiment of the present invention provides a customized education platform for infant and toddler educators to enable appropriate education, purchasing job-related materials or products, matching specialized teachers, and field learning matching. It can also help with work by increasing work efficiency by providing information such as:

Although embodiments of the present invention have been described above with reference to the attached drawings, those skilled in the art will understand that the present invention can be implemented in other specific forms without changing the technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

1: Job training platform system
100: Server device
200: user terminal
300: Network

Claims (3)

It includes; a server device that provides job training content corresponding to a plurality of subjects for infant and toddler education;
The server device is,
According to the user's request, new children's adaptation education method, toilet training education method, prop education method, musical instrument education method, food material exploration method, physical play method, food play method, nature observation play method, recycled product play method, and coding are provided through the user terminal. An educational content provision department that provides job training content for each subject of education methods, elementary school preparation education methods, and Korean language education methods;
A job data provision unit that provides job data including home correspondence, drawings, education plans, observation logs, and document preparation tools to the user terminal upon the user's request;
Stores and stores information about specialized instructors, including specialty areas, contact information, available dates, available hours, name, region of residence, and career history, among art, music, physical education, English, science, coding, blocks, and cooking. A specialty teacher matching unit that compares specialty teacher job request information received from a user terminal with stored specialty teacher information, extracts specialty teacher information matching the specialty teacher job request information, and provides the extracted specialty teacher information to the user terminal; and
It includes a field learning matching unit that extracts and provides field learning information according to field learning matching request information from the user terminal,
The educational content provision department,
One or more subjects among a plurality of job training content subjects are selected from the user terminal, detailed information including the training period, activity goal, training course, and attached materials of the selected job training content is provided, and the job training content is selected from the user terminal. Request and receive payment information for viewing training content, and if payment according to the payment information is approved, provide the selected job training content to the user terminal,
The field learning matching department,
Stores a plurality of field trip information including program name, representative number, cost, time required, and address, and receives field trip matching request information including cost, area, maximum travel distance, and number of people from the user terminal, Compare a plurality of field study information and field study matching request information to extract at least one field study information as primary matching data, and provide the extracted primary matching data to the user terminal,
The educational content provision department,
Job data is updated at regular intervals, but the number of news articles related to infants and toddlers is calculated by crawling news-providing websites on a daily basis, and the number of infant-toddler-related policies is calculated by crawling policy data-providing websites on a daily basis. Calculate the increase/decrease rate of the number of news articles and the number of policies, and if the increase/decrease rate is calculated above the highest threshold or below the lowest threshold, perform additional job data updates,
The field learning matching department,
For each field trip, the number of users by weather, the number of users by date, the increase/decrease rate of the number of users, and the rating are used as input data, and an artificial neural network is used to predict the number of field trip users according to a specific date and weather forecast and output it as output data, Using an artificial neural network, predict the number of users for the primary matching data on a specific date and weather forecast, and calculate the difference between the predicted number of users and the average number of weekend users for field trips corresponding to the primary matching data, If the difference in the calculated number of users is greater than a threshold, the field trip is extracted as secondary matching data, and the extracted secondary matching data is provided to the user terminal,
The educational content provision department,
Setting and storing a plurality of keyword words for each subject of job training content, requesting and receiving a survey text containing information about the user's career history through the user terminal, analyzing the survey text to extract all stored keyword words, , extract keyword words for specific job training content subjects among the extracted keyword words, weight set according to the user's career period, number of total keyword words extracted by analyzing the survey text, and total keywords extracted by analyzing the survey text. Using the number of keyword words for a specific job training content subject among words, the career score for each of the plurality of job training content subjects is calculated, the average score of the plurality of job training content subjects is calculated, and the plurality of job training content subjects are calculated. If the career score for the job training content subject selected by the user is below the average score, the payment step for viewing the job training content is performed, and the career score for the job training content subject selected by the user among the plurality of job training content subjects is averaged. If the score is exceeded, recommended information for other job training content subjects will be provided before proceeding with the payment step to view the job training content.
The specialized teacher matching department,
Specialized teachers are classified using the first evaluation score, which is the score evaluated by the recruiting agency that hired the specialized teacher, the second evaluation score, which is the score evaluated by the parents of the hiring agency that hired the specialized teacher, and the third evaluation score evaluated by the expert. Calculate the evaluation score,
The educational content provision department,
In Equation 1 below, the weight set according to the user's career period, the number of total keyword words extracted by analyzing the survey text, and the number of keyword words for specific job training content subjects among all keyword words extracted by analyzing the survey text. Apply the count to calculate the career score for specific job training content subjects,
[Equation 1]

(In Equation 1, J _s means the career score for a specific job training content subject, w _i is the weight set for each user, T _k,y is the total number of keyword words extracted by analyzing the survey text, and k is the survey This refers to the number of keyword words for specific job training content subjects among keyword words extracted by analyzing text.)
The specialized teacher matching department,
A job training platform system that calculates the evaluation score for each special teacher above by adding the evaluation score calculated based on the pre-class evaluation standard, the evaluation score calculated based on the post-class evaluation standard, and the evaluation score calculated based on the previous class.
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