JP2023044655A - Information processing apparatus, information processing method, and program - Google Patents

Abstract

To provide a concrete support for a person who is to attend a training course to achieve a growth goal after a predetermined period (N years).SOLUTION: A server 10 includes an attribute acquisition unit 120, a test unit 121, and a recommendation unit 122. The attribute acquisition unit 120 acquires one or more attributes (e.g., sex, age, job category, business type, and official position) for each of one or more trainees (expected trainees) who are to be trained through one or more courses. The test unit 121 acquires, for the one or more expected trainees, results of a business basic skill diagnostic test, as current scores. The recommendation unit 122 generates, as recommendation information, information including an attendance plan for appropriate courses, as the one or more courses, on the basis of the one or more attributes (e.g., sex, age, job category, business type, and official position) and the current scores of the one or more expected trainees.SELECTED DRAWING: Figure 3

Description

The present invention relates to an information processing device, an information processing method, and a program.

Conventionally, there is a human resource development support system that diagnoses a user's skill (skill) and supports human resource development based on the diagnosis result (see Patent Document 1, for example).

JP-A-2004-246507

However, in this way, although it is known that taking conventional training, etc. for human resource development will lead to the improvement of the skills of individual users, it is difficult to know how far the current skills will be improved in the future by the training. I don't know how much it will grow.

SUMMARY OF THE INVENTION The present invention has been made in view of such a situation, and aims to provide specific support for the target person of the training to achieve the growth target after a predetermined period (N years).

In order to achieve the above object, an information processing apparatus according to an embodiment of the present invention includes:
attribute acquisition means for acquiring one or more attributes for each of one or more subjects who are scheduled to undergo predetermined human resource development for a predetermined period by attending one or more courses;
a current evaluation value acquisition means for acquiring a current evaluation value of business-related abilities for each of the one or more subjects as a current evaluation value;
recommendation means for generating, as recommendation information, information including a course attendance plan appropriate for the one or more courses based on the one or more attributes and the current evaluation value of each of the one or more subjects;
Prepare.
In the present invention, an attribute is acquired for each of one or more target persons who are scheduled to undergo predetermined human resource development for a predetermined period by attending one or more courses, and each of the one or more target persons is evaluated for their ability related to business. A current evaluation value is obtained as a current evaluation value, and based on one or more attributes and current evaluation values of each of one or more subjects, one or more courses are recommended as information including an appropriate course attendance plan. Generate as
In this way, in order to realize the future image (score growth) of the trainees who are to take the training, we will set up a concrete path such as the training that needs to be taken, the order of taking it, and the required period (N years, etc.) and make recommendations. By generating information (information including an appropriate course attendance plan), it is possible to provide concrete support for the target person of the training to achieve the growth target after a predetermined period (N years).
An information processing method and a program corresponding to the information processing apparatus of one aspect of the present invention are also provided as an information processing method and program of one aspect of the present invention.

According to the present invention, it is possible to provide specific support for the target person of the training to achieve the growth target after a predetermined period (N years).

1 shows the overall configuration of an information processing system according to an embodiment of the present invention; 2 is a block diagram showing a hardware configuration of a server in the information processing system of FIG. 1; FIG. 2 is a functional block diagram showing a functional configuration of a server in the information processing system of FIG. 1; FIG. FIG. 10 is a diagram showing an example of evaluation results of skills of individual users associated with business skill evaluation indexes; FIG. 4 is a flow chart showing a user's growth prediction recommendation operation in the server of FIGS. 2 and 3; FIG. FIG. 10 is a diagram showing an overview of recommendation calculation logic in the server; FIG. 10 is a diagram showing the operation of the recommendation unit when the user has a desired future image; FIG. 10 is a diagram showing the operation of the recommendation unit when the user does not have a desired future image; It is a figure which shows an example of a user's attribute information. FIG. 10 is a diagram showing a specific example of a table in which recommended training themes and their order of attendance are set; It is a flowchart which shows the outline|summary operation|movement regarding formulation of a training attendance plan. 10 is a flow chart showing a process of extracting a training subject item from a test result. 10 is a flow chart showing a process of extracting a training subject item from a test result. 10 is a flow chart showing a process of extracting a learning theme of a training service to be attended; It is a figure which shows an example of the training theme list classified by item. It is a figure which shows an example of the training theme list classified by item. It is a flowchart which shows the process which sets the attendance order of a training theme. It is a figure which shows the attribute information of the user who has an ideal figure (the 1st example: when a job change to a different industry is desired). FIG. 19 is a diagram showing scores of users having the attribute information of FIG. 18; FIG. 10 is a diagram showing attribute information of a user having an ideal figure (second case: when a user desires to change jobs to a different occupation); FIG. 21 is a diagram showing scores of users having the attribute information of FIG. 20; FIG. 10 is a diagram showing an example of recommendations for a user who does not have an ideal figure (third case: when there is no particular request for occupation, industry, etc.). FIG. 10 is a diagram showing business skill characteristics (graph) in which a user's current score and ideal score are displayed in a comparable manner; FIG. 11 is a diagram showing an output example of an appropriate course attendance plan drawn up by a recommendation unit; FIG. 11 is a diagram showing an output example of an appropriate course attendance plan drawn up by a recommendation unit; It is a figure which shows an example of a user's attribute information. FIG. 27 is a diagram showing scores of users having the attribute information of FIG. 26;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 shows the overall configuration of an information processing system 1 according to one embodiment of the present invention.
The information processing system 1 shown in FIG. 1 includes a server 10 and n student terminals 20-1 to 20-n (where n is an arbitrary integer value of 1 or more) via a predetermined network NW such as the Internet. are connected to each other through
In addition, hereinafter, when there is no need to individually distinguish between the student terminals 20-1 to 20-n, they are collectively referred to as "student terminals 20".

The student terminal 20 is an information processing device managed for each student, and is composed of, for example, a tablet terminal or a smart phone.
The server 10 is managed by this service provider. The server 10 executes various processes while controlling the operations of the student terminals 20-1 to 20-n.

The service provider makes employees participate in lectures as students upon application from companies, and conducts online training. In addition, the service provider will test the student in order to check the degree of understanding and mastery of the contents of the course and online training that the student has taken, evaluate the test results, and provide future advice, etc. to
In addition, the service provider will support the growth of the company or department based on the test results of multiple employees (students) belonging to the company or department within the company. Present optimal solutions for future growth and contribute to the development of society.

Specifically, in this embodiment, the server 10 operates in cooperation with the student terminals 20 as follows.
That is, the server 10 first transmits to the student terminal 20 a basic business ability diagnosis test (hereinafter simply referred to as a "test") consisting of one or more of a plurality of questions pre-stored in the server 10, and these one Answers entered by the student for each of the above questions are received.

Testing is performed by service providers. The questions in the test are for evaluating the student's basic business skills (basic business skills), and one or more business skills to be evaluated by the service provider and one or more of each skill Questions are given for each theme. Basic business skills refer to skills or abilities useful for working as a member of society.

Explain the relationship between skills and themes for evaluating basic business skills.
Skills are defined in m (m is an arbitrary integer value of 1 or more), and p (p is an arbitrary integer value of 1 or more independent of m) themes are defined for each of the 1 or more skills. defined.
In the test, questions with content related to each of the themes are set for each item.

The student terminal 20 receives the test sent by the server 10 . Then, the student operates the student terminal 20 to input answers to each of the questions that constitute the test.
The student terminal 20 transmits to the server 10 the test answers (aggregate of answers to each question) input by the student.

The server 10 sequentially acquires and grades the answers to the test every time the answers to the test are sent from each of the student terminals 20-1 to 20-n. Further, the server 10 normalizes the scoring results for each of the above items, and stores and manages this as a score for each student.

The server 10 sets and stores extraction conditions for extracting scores of a predetermined population from the scores managed for each student.
The predetermined population is not particularly limited. A wide variety of groups can be employed, such as a group of As a premise, the server 10 manages each student in association with a score indicating the marking result and various attribute information of the student.
In this case, as extraction conditions for extracting the score of a predetermined population, for example, the same age, same occupation, same industry, same position, same year of employment, past score values and ranges, etc. can be adopted. can.

The server 10 extracts the score of a predetermined student and the score of a predetermined population including the predetermined student, and compares both scores.
Specifically, for example, the score of the predetermined student can be compared with the average value, maximum value, or minimum value of the scores of a predetermined population including the predetermined student.

In addition, the server 10 causes the screen of the student terminal 20 of the prescribed student to display a graph obtained by plotting the score of the prescribed student and the score of a prescribed population including the prescribed student. .

As a result, the student can see the student's own score value for each theme of each skill in the graph displayed on the screen of the student terminal 20, and the score of the predetermined population including the student. From the distribution of the value of , it is possible to easily visually recognize the degree of growth in comparison between the student's current skill and past skill, and the educational effect of the company.

In this way, among the existing trainees who have already been trained for N years, those who have the same or similar attributes as those of the trainees who are scheduled to receive the training are regarded as similar attribute people, and the score for one or more similar attribute people is calculated. Students who are planning to receive training by reading out the results of their growth over the past N years (test log), generating attribute coefficients that correct their current scores based on the test log, and using a coefficient group that includes the attribute coefficients. Correct the current score of the training course, predict the score after correction as the score of the trainee in N years, and predict the score of the trainee in N years after continuing the training. By presenting it to the trainee, the trainee will understand that if the training is continued, results will be obtained in N years, and the trainee will be motivated to continue the training for the future after N years. can be done.

FIG. 2 is a block diagram showing the hardware configuration of a server in the information processing system 1 of FIG. 1. As shown in FIG.

The server 10 includes a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a bus 104, an input/output interface 105, an output section 106, and an input section 107. , a storage unit 108 , a communication unit 109 and a drive 110 .

The CPU 101 executes various processes according to programs recorded in the ROM 102 or programs loaded from the storage unit 108 to the RAM 103 .
The RAM 103 also stores data necessary for the CPU 101 to execute various kinds of processing.

The CPU 101 , ROM 102 and RAM 103 are interconnected via a bus 104 . An input/output interface 105 is also connected to this bus 104 . An output unit 106 , an input unit 107 , a storage unit 108 , a communication unit 109 and a drive 110 are connected to the input/output interface 105 .

The output unit 106 includes a display, a speaker, and the like, and outputs various information as images and sounds.
An input unit 107 is composed of a keyboard, a mouse, etc., and inputs various information.

The storage unit 108 is configured by a hard disk, a DRAM (Dynamic Random Access Memory), or the like, and stores various data.
The communication unit 109 communicates with another device (student terminal 20 in the example of FIG. 1) via a network NW including the Internet.

A removable medium 111 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory is mounted in the drive 110 as appropriate. A program read from the removable medium 111 by the drive 110 is installed in the storage unit 108 as necessary.
The removable medium 111 can also store various data stored in the storage unit 108 in the same manner as the storage unit 108 .

FIG. 3 is a functional block diagram showing a functional configuration of a server in the information processing system of FIG. 1;
As shown in FIG. 3, an examination DB 141 is provided in one area of the storage unit 108 (FIG. 2) of the server 10 .
The test DB 141 stores information about the trainees and a log (hereinafter referred to as "test log") of the results of the training that the trainees have taken so far and the results of taking the basic business ability diagnostic test. ing.
Information about students is, for example, information for employees working at a company, etc. to attend courses and training held by service providers in order to improve their own skills. Information about students includes: Information such as companies and industries to which students belong is included.

Specifically, in the examination DB 141, basic attributes such as the name, age, gender, occupation, etc. of employees who receive training services at companies such as companies, current and current departments (departments, etc.) within the company , job title, industry of the company, information on courses and training courses to be taken (course name and course number, training name and training number, course date, course history), questionnaires (questions ) and their answers are stored in association with information (student ID, student number, etc.) for identifying individual students.

In the examination database 141, the attributes of students are divided into current and ideal basic attributes (main attributes such as age, gender, and occupation) and other additional attributes (sub-attributes such as job title and industry). , see FIG. 9) and is stored. All basic attributes are registered if the student is a student. Additional attributes are arbitrarily registered by active input from students. Note that the attribute and score of the student may be called information about the student.
As for ideal attributes, only students who have ideals register. The ideal attribute is that the more information there is, the more accurate the recommendation can be presented.
If there is no ideal attribute registered, recommended attributes and recommendations are presented based on the current score and attribute information.
The examination DB 141 stores an item-by-item training theme list (see FIG. 15). In the itemized training theme list, a training theme is set for each item in each category.

From among the training themes, it is possible to attend the training that the trainee takes. A plurality of courses are stored as the training. A course is, for example, a training session, a training session, or the like that implements a training program, and a plurality of students can participate in a plurality of courses. One or more evaluation factors correspond to each of the plurality of courses.
Although the one or more evaluation factors are not particularly limited, the following description assumes that a theme or sub-theme is employed. That is, in the following example, one course is associated with one or more (mainly one) themes or sub-themes.
A theme is a subject naming each business skill element, and is associated with a course name. A sub-theme is a sub-theme included in a theme, and a course of only the sub-theme is also set. The same is true for training.

For example, as shown in the graph shown in FIG. 4, the indicators for evaluating basic business skills are "business knowledge", "planning & control", "thinking", and "communication is defined (categorized) into four skills such as ” (Communication). Skill items are set for each of the skills defined (categorized) into four. A skill item is one of the evaluation elements of each skill. For each skill, a training (course) is set for each skill item.

For example, the skill items for measuring the basic business ability of the "business knowledge" skill include current affairs, legal/personnel/labor affairs, finance/accounting, marketing, and management. Although not shown, the skill item of legal/personnel/labor includes sub-items such as personnel/labor and compliance.

The skill items for measuring the basic business ability of the "planning & control" skill include objectives and goals, planning, business management, review/evaluation, and improvement. Although not shown, the skill item "purpose and goal" includes a sub-item "purposeful thinking". Also, the skill item "planning" includes a sub-item "action plan drafting".

Skill items for measuring the basic business skills of "thinking" include numerical processing, use of thinking methods, information gathering, problem setting, and solution planning. Although not shown, the theme of thinking method utilization includes a sub-theme of element decomposition ability.

Skill items for measuring basic business skills of "communication" include negotiation, document communication, oral communication, listening, and business etiquette. Although not shown, the skill item document communication includes a sub-item slide creation ability.

Here, a method of categorizing (dividing) skills for evaluating business skills will be described.
Skills are roughly divided into four by systematizing the skills necessary for growth in human resource development.
In order for people to produce results, planning and execution skills (planning and control) are necessary. In order to improve this ability to plan and execute, it is necessary at the same time to have "thinking," a way of thinking such as intention and judgment, "communication," the ability to communicate to build human relationships, and "business knowledge," which is the prerequisite knowledge.
By diagnosing the basic business ability by dividing it into four skills in this way, it becomes easier to see the features of the skills possessed by the subject of the diagnosis.

The basic business skills are defined in units of individual skill items or in units of courses set for a plurality of themes, and the students attend the training to improve their business skills.
Before, during, and after the training, the trainees are given a basic business ability diagnostic test.

The test DB 141 stores information about tests conducted by service providers. Information related to the test includes, for example, test questions and answers, test results of individual students (scores for each skill item), evaluation results of basic business skills (scores for each category) as a comprehensive evaluation, companies using training services, and Questionnaires to trainees, responses to questionnaires, number of companies using training, number of participants, number of companies undertaking stratified training, number of participants by training theme and rank, lead time for decision-making until introduction of training, Personnel training log information including the number of service user ID registrations and the like is stored.
The score is a numerical value (“1” to “5”) obtained by evaluating the score for each item of the test, for example, on a scale of 5, etc., and the total numerical value for each skill is also stored. If there are five skill items in one category, one category has a maximum score of 25 points. In this case, the total score of each skill item indicates the evaluation of each category of the student.

Information (company size (number of people), organizational structure (hierarchy, etc.), division, arrangement of departments, etc.) of the company to which the student belongs is stored in the examination DB 141 . In addition, in the examination DB 141, information on each employee (takers) in the company (e.g., employee name, age, date of employment, years of employment, organizational position, title, etc.) is stored in association with the personal identification information of
It should be noted that the above-mentioned test-taking log of one year ago, several years ago, etc. is an example, and it may be three years ago, and the past results will suffice.
In addition, the examination DB 141 stores performance information (for example, information published in economic information magazines, etc.) of companies that take lectures and training so that it can be compared with other companies in the same industry.

In the CPU 101 (see FIG. 2) of the server 10, when executing processing, as shown in FIG. A target period acquisition unit 124, a similar performance acquisition unit 125, and a display control unit 126 function.

The attribute acquisition unit 120 acquires one or more attributes of a target person (for example, a person who is scheduled to attend a course, such as an employee of a company, etc.) who is scheduled to undergo a predetermined human resource development period (for example, three years, etc.) by attending one or more courses. to get One or more attributes include basic attributes and additional attributes. The basic attributes are, for example, sex, age, job type, industry, position, and the like. The additional attributes are the employee's position in the company, the type of business of the company, and the like.

The test unit 121 acquires the current evaluation value (score from the business basic ability diagnosis test) of the business-related ability (business basic ability) of the subject as the current evaluation value.
Specifically, information indicating the basic business ability of each of one or more employees belonging to the organization of the company is obtained via the student terminal 20 and stored in the examination DB 141 . The information indicating the basic business ability is, for example, a test score for each theme for evaluating skills, which are business abilities.
The test unit 121 selects questions for students to answer by operating the student terminals 20 from among the questions for evaluating the skills of the students stored in advance in the DB 141 for each theme. Create for each item. A set of questions and answers for each theme of each skill created in this way is a test.

The test unit 121 presents the test to the student by displaying the test on the student terminal 20 via the communication unit 109 .
The student operates the student terminal 20 to input an answer (an answer for each question) to the test given by the test section 121 . The answer input by the student is transmitted from the student terminal 20 to the server 10 .

The test unit 121 acquires, via the communication unit 109 , test answers (collections of answers for each question) transmitted from the student terminals 20 .
The test section 121 scores the acquired test answers for each question based on a predetermined scoring standard.
The test unit 121 normalizes (scores) the results of scoring each question for each theme of each skill, stores the score in the DB 141 as an evaluation result in association with the item name of each theme, and takes the course. managed by each person.

In response to an evaluation presentation request (table creation instruction) from the student terminal 20, the predetermined student's score and the predetermined student's score are included from among the scores of one or more students managed in the examination DB 141. It acquires the score of a predetermined population and outputs it to the display control unit 126 . Note that the predetermined student may be referred to as the first student.

In addition, the said predetermined population is extracted by the predetermined extraction conditions previously memorize|stored in taking DB141. Specifically, for example, as described above, any number (including 1) of the same age, same job type, same industry, same position, same year of employment, or past score of a predetermined student himself/herself It is possible to extract a population using a combination of the above as a predetermined extraction condition.

The test section 121 obtains the current score of the basic business skills of the prospective trainees who are scheduled to receive N-year training to improve their basic business skills.
Specifically, the test unit 121 acquires the current score of the prospective participant by reading the score of the prospective participant who is scheduled to attend the course or training for N years from the examination DB 141 .

The recommendation unit 122 draws up an appropriate course attendance plan as one or more courses to be taken by the prospective attendee (including existing attendees) based on one or more attributes and current scores of the prospective attendee (including existing attendees). , Recommend (recommend) to prospective students.
Specifically, the recommendation unit 122 includes one or more attributes of the prospective student (gender, age, occupation, industry, position, etc.) and the current score of the prospective student read from the examination DB 141 by the test unit 121. Based on this, an appropriate course attendance plan (see Fig. 22, a plan to take courses and training in what order to reach the target score in N years) is drafted as one or more courses that prospective students should take. Then, the proposed course plan is recommended to prospective students.
Planning of the lesson plan is executed by the AI model.
In the planning of the course plan executed by the AI model, not only the attributes of the prospective student and the numerical value of the current score, but also the tendency by attribute, the score tendency by the four business skill categories (adequate business skills), and the course schedule A target score, etc. entered by the person himself/herself is taken into account. In addition to the AI model, a lesson plan may be drawn up based on a preset algorithm.

The target evaluation value acquisition unit 123 acquires the score as the target evaluation value when the prospective student has input a target score for business-related abilities after N years have passed by the prospective student. do.
Specifically, when the target score is included in the student information of the prospective student in the examination DB 141, the target evaluation value acquisition unit 123 reads the target score from the examination DB 141 and acquires it as a target evaluation value, and recommends the target score. 122.

The target period acquisition unit 124 acquires the target period as the target period when the target period is input by the prospective student's operation as the predetermined period.
Specifically, when the target period is included in the student information of the prospective student in the examination DB 141, the target period acquisition unit 124 reads the target period from the examination DB 141, acquires it as the target period, and sends it to the recommendation unit 122. Output.
As a result, the recommendation unit 122 draws up a course plan based on the target score and target period input by the prospective student in addition to the one or more attributes and current score of the prospective student, and further determines an appropriate course period. Calculate the appropriate period and recommend it to prospective students.

The similar achievement acquisition unit 125 regards those who have the same or similar attributes as those of the prospective participants among the existing participants who have already undergone human resource development before the target period of the prospective participants at this time as similar attributes, Acquiring performance information of each of one or more persons with similar attributes by using information including respective scores of business skills before and after human resource development for a target period as performance information.
Specifically, the similar track record acquisition unit 125 acquires track record information of one or more existing trainees (persons with similar attributes) who have the same or similar attributes as those of the prospective trainee from the examination DB 141, and outputs the result information to the recommendation unit 122. .
As a result, the recommendation unit 122 draws up a course plan based on the performance information of one or more existing students (persons with similar attributes) in addition to one or more attributes and current scores of the prospective student, The target score is calculated as the target score when the period has passed, and it is recommended to existing students (persons with similar attributes).

The display control unit 126 performs control to display the lesson plan drawn up by the recommendation unit 122 on the screen of the student terminal 20 .

In addition, the display control unit 126 displays two line graphs (see, for example, the radar chart of FIG. 22) in which the current score and the ideal score of the prospective student output from the recommendation unit 122 are plotted in a circular display area. , control to display on the screen of the student terminal 20 via the communication unit 109 .
In addition, the display control unit 126 displays two polygonal lines obtained by plotting the current score of the prospective student obtained by the test unit 121 and the score of a predetermined population including the prospective student in a circular display area. Control is performed to superimpose a graph (see, for example, FIG. 4) and display it on the screen of the student terminal 20 via the communication unit 109 .

The operation of the server will now be described with reference to FIG.
FIG. 5 is a flow chart showing the operation of the server.
As shown in FIG. 5, in the server 10, in step S11, the attribute acquisition unit 120 selects one or more prospective trainees who will be trained for a predetermined period (for example, three years) by attending one or more courses. Attributes (information including at least age, gender, and occupation among age, gender, occupation, title, and occupation).
In step S12, the test unit 121 acquires the current evaluation value of the business-related ability (basic business ability) (the score of each of the four business skills obtained by the basic business ability diagnostic test) as the current score of the subject.
In step S13, the recommendation unit 122 selects one or more attributes (age, gender, occupation, title, and occupation including at least age, gender, and occupation from among the categories) of the prospective student (including the existing student) and the current score. Based on (scores of each of the four business skills), an appropriate course attendance plan is drawn up as one or more courses to be taken by the prospective student, and recommended to the prospective student.

According to the operation of the server 10 as described above, one or more attributes and the current score of the prospective student are acquired, and based on the acquired one or more attributes and the current score, one or more attributes that the prospective student should take Propose an appropriate course attendance plan as a course and recommend it to those who are planning to take it, so that the target person of the training will provide concrete support for achieving the growth target after a predetermined period (N years) be able to.

Next, the operation of the recommendation unit (detection recommendation logic) in the server will be described with reference to FIGS. 6 to 8. FIG.
FIG. 6 is a diagram showing an overview of the operation of the recommendation unit in the server.
As shown in FIG. 6, in the server 10, the current scores and attributes of prospective students (hereinafter referred to as "users") stored in the examination DB 141 and the attributes of the user's desired future appearance (ideal) are stored in the user's If it is input in advance and stored in the examination DB 141 , the attribute of the desired future appearance (ideal) is read from the examination DB 141 and input to the recommendation unit 122 .
The score of the desired future image (ideal) is the average value of the top 20% of the scores of the existing students (existing users) who have the attribute of the user's desired future image (ideal). The average value of the top 20% of scores shown here is an example, and other values may be used.

The recommendation unit 122 compares the user's business skill, for example, 4 categories x 5 items, for a total of 20 items, and compares the current score with the score of the desired figure. to generate a training attendance plan (recommended period and recommended training).
As the recommended training, for example, a training theme, training attendance order, books to be read together with training attendance, and the like are generated. The recommended period is calculated as the number of years required to reach the desired figure score, for example, N years or N and a half years.

Here, with reference to FIG. 7, the operation of the recommendation unit (training recommendation logic) when the user has a desired future image will be described.
FIG. 7 is a diagram showing the operation of the recommendation unit when the user has a desired future image.
If the user has a desired future image, the operation is the same as the outline operation in FIG. A training attendance plan (recommended period and recommended training) is generated based on the score difference of each item of the current desired state by comparing the score of the desired state.
As the recommended training, for example, a training theme, a training attendance order, books to be read together, and the like are generated. The recommended period is calculated as the number of years required to reach the desired figure score, for example, N years or N and a half years.

Next, with reference to FIG. 8, the operation of the recommendation unit (training recommendation logic) when the user does not have a desired future image will be described.
FIG. 8 is a diagram showing the operation of the recommendation unit when the user does not have a desired future image.
If the user does not have a desired future image, as shown in FIG. 10.

In the server 10, the current score and attributes of the user in the DB 141 are read, and the read current score and attributes and the period (N years) input by the user are input to the recommendation unit 122. .

The recommendation unit 122 considers a person who has the same or similar attribute as the user who is scheduled to receive the training among the existing users who have already been trained for N years as a similar attribute person, and the score for one or more similar attribute persons in the past Performance information (score transition from N years ago to the present) for N years (-N years to the present) is read out. In this example, performance information for three persons with similar attributes is read.
As performance information, the recommendation unit 122 acquires a score N years after each person with similar attributes has attained an ideal attribute (type of job, position, etc.).

Subsequently, the recommendation unit 122 generates one or more training attendance plans (three patterns of training attendance plans in this example) based on the respective scores of the three similar attributes and the user's current score. .
Then, the recommendation unit 122 displays the ideal score of each of the generated three patterns of training attendance plans on the screen of the student terminal via the display control unit 126 according to the degree of matching with the user's score and attributes. and present it to the user.
In this way, one or more (three in this example) of the user's future visions that are likely to be realized are presented according to the degree of matching, so that the user can select one or more of the presented future visions. You can choose what you want to look like.

A specific example will be described below.
FIG. 9 is a diagram showing an example of user attribute information.
As shown in FIG. 9, user attribute information is managed in association with current and ideal information for each attribute item. Attributes include, for example, basic attributes and additional attributes. The basic attributes are gender, age, and occupation. Additional attributes are industry and title (role).
In this example, the gender as the user's basic attributes is male, the current age is 26, and the current occupation is programmer. Sales is entered as the ideal occupation.
The current type of additional attribute is the IT industry, and the current position is general (regular). The ideal industry is the same as the current IT industry, and the ideal position is general (regular). In addition to this, positions such as leader, manager, manager, etc. can be input.

FIG. 10 is a diagram showing a specific example of a table in which recommended training themes and their order of attendance are set.
For business skills, 5 items are set for each of 4 categories, totaling 20 items.
For example, in the table shown in FIG. 10, for example, item ID_P1 is set as item identification information in the item "purpose/target" of "planning &control". For example, the item ID_T4 ("task setting" of "thinking") is set as a preceding item that should be taken prior to the training (the effect of the training can be further enhanced).
In addition, the number of training themes for item ID_P1 is set to 1 for those in their 20s and 1 for those in their 30s. is set.
The recommendation unit 122 refers to this table and generates a training attendance plan including recommended training themes and their attendance order based on the score difference between the present and the future (ideal score) in each item.

11 to 15, the operation of drafting a training attendance plan will be described.
FIG. 11 is a flow chart showing an outline operation related to drafting a training attendance plan.
As shown in FIG. 11, in step S101, the recommendation unit 122 reads information such as scores and attributes of users (subjects) who are scheduled to take the course from the DB 141 for taking the test.

In step S102 (major processing [1]), the recommendation unit 122 extracts items for training from the DB 141 and sets the order of the items based on the read score and attribute.
At this time, the subject's current score and ideal score are compared, and the score difference (current-ideal) for each item is calculated.

In step S103, the recommendation unit 122 extracts items having a score difference of −1 or less and not assigned a training attendance order among the 20 business skill items, and generates a training attendance item list. All of the items on the list of training subjects are areas in which training is recommended.

In step S104 (major process [2_1]), the recommendation unit 122 extracts the theme of the training that the user (target person) should take, based on the training subject item list.

In step S105 (large process [2_1]), the recommendation unit 122 sets the learning order of the extracted learning themes based on a predetermined condition (see step S119 in FIG. 13 described later).

FIGS. 12 and 13 are flow charts showing detailed operations relating to planning of a training attendance plan.
As shown in FIG. 12, in step S111 [process 1], the recommendation unit 122 extracts items that meet a predetermined condition (point difference between the current score and the ideal score is -1 or less) as items to be trained. .

In step S112, the recommendation unit 122 extracts, from among the 20 business skill items, those items for which the score difference between the current score and the ideal score is -1 or less and for which the training attendance order is not assigned. Create item list (1).

In step S113 [process 2_1], the recommendation unit 122 narrows down the items of the first training subject item list (1) based on the first condition (items with blank preceding items) and sets a flag.
As a result, it can be seen that there is no item to be cleared first, and that the item may be subject to training.

In step S114 [Processing 2_2], the recommendation unit 122 sets the second condition (preceding item has a value and all target preceeding items have a score difference of −1 or less between the current score and the ideal score [(actual-ideal) ≦−1]), narrow down the items in the first training subject item list (1), and set a flag.
As a result, although there is an item to be cleared first, it can be determined whether or not the target item has been cleared.

In step S115 [process 2_3], the recommendation unit 122 selects the first training subject item list (1) based on the third condition (item that has a value in the preceding item and is not extracted in the process of step S114). filters and flags items in
As a result, although there are items that should be cleared first, it is possible to extract items that can be taken as subjects depending on the conditions.

In step S116, the recommendation unit 122 generates a second training subject item list (2) of the items extracted as described above.

Subsequently, in step S117 [process 3] of FIG. 13, the recommendation unit 122 extracts the absolute value of the score difference between the current score and the ideal score for each item from the second training subject item list (2).

In step S118, the recommendation unit 122 generates a third training subject item list (3) of the extracted items.

In step S119 [Processing 4], the recommendation unit 122 selects items for which the flag set in the process of step S113 and the flag set in the process of step S114 are set from the generated third training subject item list (3). On the other hand, the order is assigned based on a predetermined condition.
The conditions at this time are that the larger the absolute value of the difference, the higher the priority, and that the item on the left side of the list has the higher priority. Allocate

In step S120, the recommendation unit 122 generates a fourth training subject item list of the items to which the order is assigned as described above.

A concrete training theme extraction process of the major process [2-1] explained in FIG. 11 will be explained with reference to FIGS. 14 to 16. FIG. FIG. 14 is a flow chart showing a process of extracting the theme of the training service to be attended. 15 and 16 are diagrams showing an example of an item-by-item training theme list. 15 and 16 originally consisted of one figure, but they were divided to correspond to the application form.

In step S131 [process 5] of FIG. 14, the recommendation unit 122 reads out the item-by-item training theme list (see FIGS. 15 and 16) stored in the DB 141, and extracts the extraction conditions from the read-out item-by-item training theme list. Only the number of training titles that match (the number of absolute values of the score difference between the current score and the ideal score) is extracted as the training subject item. For example, if the score difference is -2, two training titles are extracted.
Here, for each item of the item-by-item training theme list, the recommended training titles that match the extraction conditions are extracted.

In step S132, the recommendation unit 122 checks the age of the user (target person) from the attributes of the user (target person). Extract training titles from a list of titles for
If the age of the user (target person) is not 30's or older as a result of the confirmation in step S132, the recommendation unit 122 extracts training titles from the title list for 20's in step S134.

In step S135, the recommendation unit 122 confirms whether or not the extracted training title has already been extracted for other items. This is a process for preventing the same training from being taken multiple times.

As a result of the confirmation in step S135, if the extracted training title has already been extracted in another item, the recommendation unit 122 deletes the extracted training title in step S136.

Further, if the extracted training title is not extracted in other items as a result of the confirmation in step S135, the recommendation unit 122 ends the learning theme extraction processing.

Here, the process of setting the order of attendance of training themes in the major process [2-2] explained with reference to FIG. 11 will be explained with reference to FIG. FIG. 17 is a flow chart showing processing for setting the order of attendance of training themes.

In step S141 [process 6] in FIG. 17, the recommendation unit 122 assigns numbers to the extracted training titles in order from the top item in the training theme list, thereby numbering the order of training attendance.

In step S142 [process 7], the recommendation unit 122 sets the order of the items whose order has not been set in the list of items for training attendance.
Then, when the score difference (ideal score - current score) is larger than the number of training themes in the training theme list, the user is recommended to read books related to the item. In other words, if the training is insufficient, books will be substituted for the shortfall.

Next, specific examples will be described with reference to FIGS. 18 to 22. FIG. FIG. 18 is a diagram showing attribute information of a user who has an ideal figure (first case: when a user desires to change jobs to a different industry). FIG. 19 is a diagram showing scores of users having the attribute information of FIG. FIG. 20 is a diagram showing attribute information of a user who has an ideal figure (second case: when a user desires to change jobs to a different occupation). FIG. 21 is a diagram showing scores of users having the attribute information of FIG. FIG. 22 is a diagram showing an example of a recommendation for a user who does not have an ideal figure (third case: when there is no particular request for occupation, industry, etc.).

The first example is a case where the user has an ideal figure and desires to change jobs from the retail industry to the IT industry in the same or different industry.
In this case, the attribute information of the user is, for example, as shown in FIG. 18, gender as a basic attribute is male, current age is 32 years old, and current occupation is sales. The ideal job type is also entered as a sales job.
The current industry for the additional attribute is Retail. The IT industry is entered as the ideal industry. His current position is a general position. The ideal job title is also entered as a general job.

As for the score of the user having the attribute information shown in FIG. 18, as shown in FIG. 19, the current score and the ideal score are set for each item in each category, and the point difference between the scores is also set. and The score difference may be obtained by reading the current score and the ideal score and subtracting them from each other.
In this case, the recommendation unit 122 uses the difference between the current score and the score of the ideal attribute (average of 20% of the top performers) to determine the period (N years) required to grow to the ideal figure, the required training attendance Recommend (recommend) the plan (course order, related books, etc.).

Here, considerations when the recommendation unit 122 is an AI model will be described.
A characteristic of the IT industry is the high scores in the categories "Planning &Control" and "Thinking."
In addition, since the job type is a sales job, a high score is required in the area of "communication" even in the ideal attribute, but it can be seen that the user has already reached the required score.
In order for users to reach the level required by the IT industry, it is necessary to take training related to items with a negative (current - ideal) score centered on "planning and control" and "thinking." Recommended (recommended).

The ideal score is the average of the top 20% scores of past test data for the target attribute.

The second example is a case where the user has an ideal figure and desires to change jobs from sales administration to accounting in the same industry.
The attribute information of the user in this case is, for example, as shown in FIG. 20, as basic attributes, sex is female, current age is 26, and current occupation is sales office. Accounting is entered as the ideal occupation.
Manufacturing is entered as the current industry for additional attributes, and manufacturing is entered as the ideal industry. His current position is a general position. The ideal type of industry is also entered as a general job.

As for the score of the user having the attribute information in FIG. 20, as shown in FIG. 21, the current score and the ideal score are set for each item in each category, and the point difference between the scores is also set. and
In this case, the recommendation unit 122 uses the difference between the current score and the score of the ideal attribute (average of 20% of the top performers) to determine the period (N years) required to grow to the ideal figure, the required training attendance Recommend (recommend) the plan (course order, related books, etc.).

Here, considerations when the recommendation unit 122 is an AI model will be described.
A characteristic of accountants is that their scores in the category "business knowledge" are higher than those in other occupations. This is presumed to be due to the high scores in the management item among the "business knowledge" items, as they deal with numbers on financial statements on a daily basis. In addition, the score in the area of "thinking" is also high, and in order for the user to reach the level required for an accounting job, the score (current-ideal) is negative, centering on "business knowledge" and "communication". It is recommended (recommended) to attend training related to the item.

A third example is a case where the user does not have an ideal figure. The attribute information of the user in this case is, for example, as shown in FIG. 22, as basic attributes, sex is female, current age is 25, and current occupation is clerical. The current industry for additional attributes is services. His current position is a general position.
In this case, the recommendation unit 122, based on the current attributes and the score read from the DB 141 for taking the test, recommends attributes for the current self, the number of years required to become the attributes, and a training attendance plan (attendance order, related books, etc.). are recommended (recommendation (1), (2), (3), etc.).

When the user compares the current score of the test result with the ideal score, the recommendation unit 122 sends the current score read from the test DB 141 and the ideal score to the student via the display control unit 126. Output to terminal 20 .

As a result, as shown in FIG. 23, the user's current score and ideal score are displayed as rate charts on the student terminal 20 as business skill characteristics so that they can be compared by area.
By viewing these business skill characteristics, the user can see at a glance which items are inferior to the ideal score in terms of business skills and to what degree, and in which direction the skill should be developed. It can be clearly determined that.

Here, an output example of an appropriate course attendance plan drawn up by the recommendation unit 122 will be described with reference to FIGS. 24 and 25. FIG. FIG. 24 and FIG. 25 are diagrams showing output examples of appropriate course attendance plans drawn up by the recommendation unit 122 . FIG. 24 and FIG. 25 originally consisted of one figure, but are divided to correspond to the application form.

Appropriate course attendance plans are output in the form of tables as shown in FIGS. 24 and 25. In addition, the period required for the test results to reach the ideal score can be set, for example, as "5 years." Presented in specific dates.
Existing information such as category, item, current, ideal, score difference, etc. is arranged in the left column of the table. At the center of the table, one or more recommended training columns (recommended training 1 to 3, etc.) are arranged. The name of the training and the order in which the training is taken are arranged in the columns of the recommended trainings 1 to 3, respectively.
In addition, in the central part of the table, there is a column for books that should be read in conjunction with the training. In the column of books, start time, end time, related words, etc. are shown for each item.
In the column on the right side of the table, the training period for each training (course) to be attended is arranged, and the training name (course name) to be attended is arranged in order corresponding to the row of the item.

For example, the first (first) attendance period is "4 months later", and the training name (course name) to be attended is "[Fundamental] Logical Thinking" in the row of item ID_T5.
The next (second) course period is "8 months later", and the training name (course name) to be taken is "[For young people] How to generate ideas" in the row of item ID_T5. .
The next (third) course period is "1 year later", and the name of the training (course name) to be taken is "Business etiquette training 1 <Elements for building good human relationships>" etc. in the row of item ID_C1. are placed. After that, the training name (course name) to be taken is arranged in the row of each item so that the course period and the order of taking the course can be known.

When the user (person who is scheduled to be trained) browses the table of the attendance plan drawn up by the recommendation unit 122 in this way on the screen of the attendance terminal 20, the user can determine how long and what kind of course he or she will take. Since you will know in what order you should take the courses, you will reach your ideal score (achieve your growth goal) in a few years, so you can provide specific support to those who are scheduled to undergo training.

In the above-described embodiment, it is described that an appropriate course attendance plan is drawn up for an individual user (a prospective student) who is scheduled to take a course for improving basic business skills for three years, and the plan is recommended to the user. However, it is also possible to recommend an appropriate course attendance plan not only to individual prospective students but also to the entire company or a specific organization.

The second embodiment will be described below with reference to FIGS. 26 and 27. FIG.
FIG. 26 is a diagram showing an example of user attribute information.
FIG. 27 is a diagram showing scores of users having the attribute information of FIG.
The second embodiment is, for example, an embodiment for recommending a future attendance plan to the entire company. In describing the second embodiment, the configurations having different functions among the configurations of the first embodiment are not illustrated as the second embodiment, and are described using the configuration names in FIG. 3 .

In the second embodiment, the test unit 121 shown in FIG. 3 performs business basic analysis of employees included in each of a plurality of employee layers (young, middle-ranked, managerial, etc.) employee layers that make up the company. Get the current score (current evaluation value) that indicates strength.

The attribute acquisition unit 120 shown in FIG. 3 acquires one or more target persons (e.g., company employees, etc.) who are scheduled to undergo predetermined human resource development for a predetermined period (e.g., three years) by attending one or more courses. One or more attributes (for example, gender, age, occupation, type of business, position, etc.) are acquired for each person (user).
The recommendation unit 122 shown in FIG. 3 recommends appropriate courses as one or more courses based on one or more attributes (for example, gender, age, occupation, industry, position, etc.) and current scores of each of one or more employees. Information including a lesson plan is generated as recommendation information.
Specifically, the recommendation unit 122 has an employee class score calculation unit (not shown). The employee class score calculation unit calculates the average score of the employee class in which the employees who are scheduled to take the course are classified into young, mid-career, managerial, and the like in the company.
Specifically, the employee class average value calculation unit calculates the current score (current evaluation value) of each employee and the ideal score to be obtained after a predetermined period of time (three years, etc.) based on the information read from the DB 141. , and the average value (representative value) of each score (ideal evaluation value) is calculated for each employee group (young group, mid-career group, managerial group) to which each belongs.

Based on the average values of the current score and the ideal score for each employee stratum calculated by the employee stratum average value calculation unit, the recommendation unit 122 recommends one or more information including a course attendance plan appropriate for the course of the above is generated as recommendation information, and the recommendation information is recommended to employees belonging to each of a plurality of employee classes.
In addition, although the average value is used as the representative value indicating the characteristic of the score of each employee class, the deviation value or other numerical values may be used. In other words, it may be a representative value that indicates the characteristics of the score of each employee group.
In the above example, the employees are classified into employee groups (young, middle-ranked, managerial, etc.), but they may be classified by department, age, etc. If they are classified into predetermined groups, good.

In the example of the evaluation result of the user's skill in FIG. Based on the score difference (difference in tendency) between the current score and the future score (ideal score) in each item, information including the theme of the recommended course and the order in which it is taken is generated as recommendation information.
For example, for an employee whose current score is lower than the future score in a certain item, the recommendation unit 122 generates, as recommendation information, information including the theme of a course to improve the skill of the item and the order in which the course is taken. Recommend recommended information.
The recommendation unit 122 obtains the tendency of items with low current scores against ideal future scores not only for each individual employee but also for each employee group from the graph (distribution chart) of business skill characteristics in FIG. Recommendation information including the theme of lectures to improve skills and the order of lectures is recommended for each employee class.

In other words, in this second embodiment, the difference between the current score and the ideal score for the entire organization of the company is calculated from the difference between the current score and the ideal score. Course attendance plans (courses to be taken to reach a future score, order of attendance, related books to be read, etc.) are recommended as recommendation information.
In addition, since the skills and approaches required for growth differ depending on the rank and age, such as young, mid-career, and managerial staff, we will also focus on specific areas within the organization, such as young, mid-career, and managerial staff, and by age group. It is also possible to present recommendations for strata and target groups. In that case, the current score and the ideal score are calculated using those with the same attribute.

The required period (N years) and necessary course attendance plan (e.g. course sequence, related books, etc.) are the current score of each attribute (average score of subjects belonging to each attribute) and future score (e.g. It is planned based on the difference from the target person's ideal score, such as the average of the top 20% of the scores.
By recommending a course plan that has been properly drawn up for each hierarchy, it is possible to promote the growth of each hierarchy and the growth of the entire organization. Note that the planning logic of the lesson plan leading to the recommendation is the same as in the first embodiment (in the case of individual users).

Below, based on specific cases (employee attributes (IT industry, technical job) in FIG. 26 and scores shown in FIG. 27), an example of presenting recommendations for each employee or each employee class with that attribute will be described. do.
In this case, it is assumed that the company as a whole has attribute information including existing attributes and additional attributes as shown in FIG.
Assume that the scores shown in FIG. 27 are obtained as a result of conducting the test for the entire company.

As shown in FIG. 27, looking at the average scores of the employees for each employee group in the test results, the scores for planning & control and thinking, which are characteristics of the IT industry, are high.
In addition, a feature (tendency) of low scores for “communication” has emerged as a feature of technical jobs.
As a result, for the organization as a whole, recommendation information including course attendance plans centering on "communication" with a low score is generated and recommended.

Also, looking at each level, all young mid-career managers are characterized by high scores in "planning &control" and "thinking."
Among them, since the score result of each item differs depending on the hierarchy, it is recommended to take an appropriate course for each hierarchy.
Since the younger generation has a particularly low score for "communication," the young generation is offered to take a course aimed at young people, with a focus on "communication."
For mid-career and managerial staff, 'communication' training and 'business knowledge'-related training are also recommended.

As described above, according to the second embodiment, based on one or more attributes and current scores of each of one or more employees, information including appropriate course attendance plans as one or more courses is generated as recommendation information. Therefore, recommendation information including an appropriate course plan to be taken in the future is generated, and recommendations are made for each employee or employee class to which the employee belongs (young, mid-career, manager, etc.), promoting the growth of each employee class. , can promote the growth of the entire organization.
In the above example, employee levels (young, mid-career, manager, etc.) were exemplified as an example of a hierarchy, but other levels may also be used. may

Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the range that can achieve the object of the present invention are included in the present invention. is.

For example, the hardware configuration shown in FIG. 2 is merely an example for achieving the object of the present invention, and is not particularly limited.

Also, the functional block diagram of the server 10 shown in FIG. 3 is merely an example and is not particularly limited. That is, it is sufficient for the information processing apparatus to have a function capable of executing the above-described series of processes as a whole. It is not limited to 3 examples.

Also, although an example in which the functional blocks and the database are arranged in one server has been described, the arrangement location is not limited to that shown in FIG.
In addition, one functional block and database may be configured by hardware alone, may be provided in separate hardware, may be configured by software alone, or may be configured by a combination thereof. good.

When the processing of each functional block is executed by software, a program that constitutes the software is read from a network or a recording medium into a computer such as a CPU of the information processing device.
The computer may be a computer built into dedicated hardware. In addition, the computer may be implemented in an information processing device capable of executing various functions by reading various programs, such as a server, or may be implemented in a general-purpose smartphone, personal computer, or the like.

The recording medium containing such a program is not only composed of a removable medium that is distributed separately from the main body of the device in order to provide the program to each student, but is also preinstalled in the main body of the device before each student can receive the program. It consists of a recording medium, etc. provided to a person.

In this specification, the steps of writing a program recorded on a recording medium are not only processes performed chronologically in that order, but also processes performed in parallel or individually. It also includes the processing to be performed.

Further, in this specification, the term "system" means an overall device composed of a plurality of devices, a plurality of means, or the like.

For example, in the above-described embodiment, an attribute acquisition unit that acquires one or more attributes of a prospective student (user) who is scheduled to undergo predetermined human resource development for a predetermined period (for example, three years) by attending one or more courses. Although 120 is illustrated, this is only an example, and it is sufficient if it is an attribute acquisition means for acquiring one or more attributes of a target person who is scheduled to undergo predetermined human resource development for a predetermined period by attending one or more courses. .

In the above-described embodiment, the test unit 121 that obtains the current score of the basic business ability of the user is illustrated, but this is only an example, and the current evaluation value of the business ability of the subject is currently evaluated. A current evaluation value obtaining means for obtaining a value is sufficient.

In the above-described first embodiment, the recommendation unit 122 selects one or more appropriate courses based on user attributes (eg, gender, age, occupation, industry, position, etc.) and current and ideal scores. An example has been described in which a course attendance plan is drafted and the drafted attendance plan (see the table in FIG. 23) is recommended to the user. 2, based on one or more attributes and current evaluation values of one or more subjects, information including appropriate course attendance plans as one or more courses is recommended information (courses to be taken, course attendance order, attendance period etc.).

In the above embodiment, business skills are divided into four categories, such as business knowledge, planning and control, communication, and thinking, as skills for evaluating basic business skills, but this is merely an example.
That is, arbitrary m (m is an integer value equal to or greater than 1) skills related to basic business skills can be employed. In this case, the skill items provided for each skill are not particularly limited to the example of the above-described embodiment, and arbitrary p (p is an integer value of 1 or more independent of m) skill items are adopted. be able to.

In the above embodiment, as the information indicating the basic business ability of each of the one or more subjects belonging to the company, for example, the score of the basic business ability diagnostic test for each item in one or more skills for evaluating business skills is normalized. Although the score and the like are acquired, other than this example may be used.
For example, the target for which recommendation information is recommended may be not only the user, but also a predetermined group to which the employee, staff member, police officer, or user belongs. It may be a department unit, a job unit, or a job title unit, and it is sufficient if it is a predetermined group.
In addition, as information indicating basic business ability, a test was conducted for each skill item in each category and a normalized score was acquired. Information is enough.

In the above embodiment, it has been explained that the AI model draws up the attendance plan for the prospective student who is the target person. Information groups such as the previous score (current score), the score after the course of the prospective student, the course period, etc. are used as a data set, and a large number of data sets are used as learning data to perform machine learning. A model may be generated or updated.
When inputting "one or more attributes and current evaluation values of one or more subjects", this AI model can generate "appropriate course plan for one or more subjects or a predetermined group to which one or more subjects belong. ' is output.
Also, not limited to AI models, for example, using a large number of data sets described above, when inputting "one or more attributes of the subject and current evaluation value", a rule base that outputs "appropriate course plan for the subject" logic may be generated or updated.

In summary, the information processing apparatus to which the present invention is applied only needs to have the following configuration, and can take various embodiments.
That is, an information processing apparatus to which the present invention is applied (for example, the server 10 in FIG. 3, etc.)
One or more attributes for each of one or more target persons (for example, company employees, etc. who are scheduled to attend: users) who are scheduled to undergo predetermined human resource development for a predetermined period (for example, three years, etc.) by attending one or more courses Attribute acquisition means (for example, the attribute acquisition unit 120 in FIG. 3) that acquires (for example, gender, age, occupation, industry, position, etc.);
For each of the one or more subjects, current evaluation value acquiring means (for example, in FIG. 3 test unit 121, etc.);
Based on the one or more attributes (e.g., gender, age, occupation, industry, position, etc.) and the current evaluation value (current score) of each of the one or more subjects (scheduled trainees, etc.), the one A recommendation means (for example, the recommendation unit 122 in FIG. 3, etc.) that generates information including a course attendance plan suitable for the above course as recommendation information;
Prepare.
In this way, one or more attributes (for example, gender , age, occupation, type of industry, position, etc.), and for each of at least one target person, the current evaluation value of business-related skills (basic business skills) (score from the diagnostic test for basic business skills) is calculated. , based on one or more attributes (e.g. gender, age, occupation, industry, position, etc.) and current evaluation value (current score) of one or more subjects (e.g., prospective trainees), one or more By generating, as recommendation information, information that includes an appropriate course attendance plan as a course for the course, a predetermined period (N 2020), it is possible to provide concrete support to achieve growth targets in the future.

Acquisition of target evaluation value for acquiring the evaluation value as a target evaluation value when a target evaluation value of the ability related to the business after the elapse of the predetermined period is input by the operation of the target person. Means (for example, the target evaluation value acquisition unit 123 in FIG. 3),
further comprising
The recommendation unit (for example, the recommendation unit 122 in FIG. 3) is based on the target evaluation value in addition to the one or more attributes and the current evaluation value of the subject, and further as the predetermined period together with the attendance plan Generate the recommendation information including the appropriate time period.
In this way, the recommendation unit (for example, the recommendation unit 122 in FIG. 3, etc.) is based on one or more attributes and current evaluation values of one or more target persons (users) and the target evaluation value. By generating recommendation information that includes an appropriate period of time as a predetermined period, it is possible to make recommendations for achieving growth targets for each target person (user) or a predetermined group (employee class of the company) to which the target person belongs. It can be done with high accuracy in the included.

a target period acquisition unit (for example, the target period acquisition unit 124 in FIG. 3, etc.) for acquiring the target period as the target period when the target period is input by the subject's operation as the predetermined period;
Among those who have already undergone the human resource development before the target period, those who have the same or similar attributes as the target person are treated as similar attributes, and the human resource development during the target period is performed. Similar performance acquisition means (for example, the similar performance acquisition unit in FIG. 3) acquires the performance information of each of the one or more similar attributes using information including evaluation values of the abilities related to the business before and after the business as performance information 125 etc.) and
further comprising
The recommendation means (for example, the recommendation unit 122 in FIG. 3) is based on the performance information of each of the one or more similar attributes in addition to the one or more attributes and the current evaluation value of the subject, The recommendation information is generated that includes, as a target evaluation value, an evaluation value that is a target when the predetermined period elapses together with the attendance plan.
In this way, the recommendation means (for example, the recommendation unit 122 in FIG. 3), in addition to one or more attributes and current evaluation value (current score) of the target person (user), each of one or more similar attributes Based on the performance information (score from N years ago to the present), we formulate a course plan and calculate the target evaluation value (ideal score) after a predetermined period of time. By making a recommendation, even a target person (user) who does not have a target can be given specific support for achieving the growth target after a predetermined period of time (N years).

The evaluation value (score) of the business-related ability is a plurality of evaluation elements for evaluating the business skill (for example, a total of 20 items represented by four categories in the table shown in FIG. 4 and five items in each category). item's evaluation factor, etc.).
In this way, since the target evaluation value (ideal score) is calculated based on a plurality of evaluation elements (evaluation elements of 20 items) of skills related to one's own business, the training target person grows after a predetermined period (N years). It is possible to recommend more specific support measures (participation plan) including the selection of courses to attend in order to achieve the goal.

The one or more target persons belong to a predetermined group classified from a predetermined point of view (a group of young, mid-career, managerial employees, etc.),
The recommendation means (for example, the recommendation unit 122 in FIG. 3, etc.) uses information (attributes and scores) of each of the one or more target persons (e.g., employees, etc.) as information from which the recommendation information is generated. The recommended information for the predetermined group is generated using the information of the predetermined group generated by (for example, the average score of a plurality of employees for each employee class such as young, middle-ranked, and managers).
As a result, recommendations can be presented not only to the individual target person (employee), but also to the entire company, a group such as a specific organization, and a part of the group. By presenting appropriate recommendations for each group (each employee class) in this way, it is possible to promote the growth of each group (employee class) and further the growth of the entire organization (entire company).
Here, "information from which recommendation information is generated" refers to attributes and current evaluation values if the recommendation information includes "appropriate course attendance plan".
Also, if the recommendation information further includes "attendance plan & appropriate period", "information from which recommendation information is generated" refers to attributes, current evaluation values, and target evaluation values.

1... Information processing system 10... Server 20, 20-1, 20-n... Student terminal 101... CPU 102... ROM 103... RAM 104. Bus 105 Input/output interface 106 Output unit 107 Input unit 108 Storage unit 109 Communication unit 110 Drive 111 Removable media 120 attribute acquisition unit 121 test unit 122 recommendation unit 123 target evaluation value acquisition unit 124 target period acquisition unit 125 similar results Acquisition unit, 126... Display control unit, 141... Examination DB, NW... Network

Claims (7)

attribute acquisition means for acquiring one or more attributes for each of one or more subjects who are scheduled to undergo predetermined human resource development for a predetermined period by attending one or more courses;
a current evaluation value acquisition means for acquiring a current evaluation value of business-related abilities for each of the one or more subjects as a current evaluation value;
recommendation means for generating, as recommendation information, information including a course attendance plan appropriate for the one or more courses based on the one or more attributes and the current evaluation value of each of the one or more subjects;
Information processing device. Acquisition of target evaluation value for acquiring the evaluation value as a target evaluation value when a target evaluation value of the ability related to the business after the elapse of the predetermined period is input by the operation of the target person. means,
further comprising
The recommendation means generates the recommendation information including the course plan and an appropriate period as the predetermined period based on the target evaluation value in addition to the one or more attributes and the current evaluation value of the subject. do,
The information processing device according to claim 1 . a target period acquisition means for acquiring the target period as the target period when the target period is input by the subject's operation as the predetermined period;
Among those who have already undergone the human resource development before the target period, those who have the same or similar attributes as the target person are treated as similar attributes, and the human resource development during the target period is performed. a similar performance acquisition means for acquiring the performance information of each of the one or more similar attributes using information including evaluation values of the abilities related to the business before and after the business as performance information;
further comprising
The recommendation means, in addition to the one or more attributes and the current evaluation value of the target person, further based on the performance information of each of the one or more similar attributes, the predetermined period has passed along with the attendance plan generating the recommendation information including a target evaluation value as a target evaluation value;
The information processing apparatus according to claim 1 or 2. The business-related ability evaluation value is a value of a plurality of evaluation factors for evaluating the business skill,
The information processing apparatus according to any one of claims 1 to 3. The one or more subjects belong to a predetermined group classified according to a predetermined viewpoint,
The recommendation means uses, as information from which the recommendation information is generated, the information of the predetermined group generated using the information of each of the one or more subjects, and the recommendation information for the predetermined group. to generate
The information processing apparatus according to any one of claims 1 to 4. In the information processing method executed by the information processing device,
an attribute acquisition step of acquiring one or more attributes for each of one or more subjects who are scheduled to undergo predetermined human resource development for a predetermined period by attending one or more courses;
a current evaluation value obtaining step of obtaining a current evaluation value of business-related abilities for each of the one or more subjects as a current evaluation value;
a recommendation step of generating, as recommendation information, information including a course attendance plan appropriate for the one or more courses based on the one or more attributes and the current evaluation values of each of the one or more subjects;
Information processing method including. The computer that controls the information processing device,
an attribute acquisition step of acquiring one or more attributes for each of one or more subjects who are scheduled to undergo predetermined human resource development for a predetermined period by attending one or more courses;
a current evaluation value obtaining step of obtaining a current evaluation value of business-related abilities for each of the one or more subjects as a current evaluation value;
a recommendation step of generating, as recommendation information, information including a course attendance plan appropriate for the one or more courses based on the one or more attributes and the current evaluation values of each of the one or more subjects;
A program that executes control processing including

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