Information processing device, information processing method, and program

Abstract

To provide an information processing device, an information processing method, and a program that assist an instructor candidate who aims for an instructor of training of a specific theme among a plurality of themes so as to present as an instructor of training of the specific theme.SOLUTION: In an information processing system, a server and a plurality of instructor candidate terminals are connected to each other over a network. A server 10 includes an appearance determination unit 122 and a problem solution generation unit 124. The appearance determination unit 122 determines whether an instructor candidate can appear as an instructor of training of a specific theme among one or more themes, based on a story sheet written by the instructor candidate and demonstration video of simulation training that simulates training of the specific theme. The problem solution generation unit 124 sets a problem so that the instructor candidate determined to be incapable by the appearance determination unit 122 may appear as an instructor and generates a solution for the problem by a problem solution model 142 (AI).SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] BACKGROUND ART Conventionally, there have been human resource development support systems that diagnose the skills of users and support human resource development based on the results of the diagnosis (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2004-246507 Summary of the Invention [Problem to be solved by the invention]

[0004] However, conventional human resource development support systems are designed for trainees who want to improve their skills, and are not designed to develop instructors who can provide training to trainees from a variety of training themes.

[0005] The present invention has been made in consideration of the above situation, and aims to support instructor candidates who aim to become instructors for training on a specific theme among multiple themes, so that they can take the stage as instructors for training on that specific theme. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing device according to one embodiment of the present invention comprises: a presentation possibility determination means for determining whether a lecturer candidate for human resource development is able to present at a training session on one or more themes based on a predetermined method, when the human resource development is to be provided by attending training sessions on one or more themes; When it is determined that the candidate lecturer cannot take the stage, problem-solving means for setting problems for the candidate lecturer to be able to take the stage and generating solutions to the problems, is provided. An information processing method and a program corresponding to the information processing apparatus according to an aspect of the present invention are also provided as an information processing method and a program according to an aspect of the present invention.

Effect of the Invention

[0007] According to the present invention, it is possible to support a candidate lecturer aiming to be a lecturer for training on a specific theme among a plurality of themes so that the candidate lecturer can take the stage as a lecturer for training on the specific theme.

Brief Description of the Drawings

[0008]

Figure 1

Figure 2

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Mode for Carrying Out the Invention

[0009] 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 according to an embodiment of the present invention. The information processing system 1 shown in FIG. 1 is configured by connecting a server 10 and n lecturer candidate terminals 20-1 to 20-n (n is an arbitrary integer value of 1 or more) to each other via a predetermined network NW such as the Internet. Hereinafter, when it is not necessary to individually distinguish each of the lecturer candidate terminals 20-1 to 20-n, these are collectively referred to as "lecturer candidate terminal 20". In addition, hereinafter, a lecturer who hopes to become a lecturer on a predetermined training theme among lecturers who have passed a lecturer test and meet a certain standard, or a candidate who is not a lecturer but is undergoing lecturer training is referred to as a "lecturer candidate".

[0010] The lecturer candidate terminal 20 is an information processing device managed for each lecturer candidate, and includes, for example, a tablet terminal, a smartphone, a personal computer, and the like. The server 10 is managed by the service provider. The server 10 executes various processes while controlling the respective operations of the lecturer candidate terminals 20-1 to 20-n.

[0011] The service provider implements a human resource development service that allows employees to participate in and take training as trainees through applications from companies, or conducts online training, etc. In addition, the service provider conducts a test on the trainee to confirm the degree of understanding and acquisition of the content of the lectures and online training received by the trainee, evaluates the results of the test, and gives advice and the like to the trainee in the future. Furthermore, the service provider provides growth support to the company or the department, etc. within the company based on the test results of each of a plurality of employees (trainees) belonging to the company or a department within the company, and presents the optimal solution for future growth, so as to contribute to the development of society.

[0012] In addition, the service provider provides a human resource development service for cultivating lecturers who give lectures to participants in the training. In this human resource development service, lecturer candidates select and attend the desired lecturer training from among one or more training themes. In the human resource development service, lecturer candidates also have the aspect of being participants. This enables them to acquire the skills of a lecturer. Although lecturer candidates acquire the skills of a lecturer by attending lecturer training, they cannot determine whether they can give a lecture on a specific and particular theme.

[0013] Therefore, the service provider provides a service for determining whether a lecturer candidate can give a lecture on a specific theme. Specifically, when predetermined human resource development is carried out by attending training on one or more themes, the service provider obtains, as information on lecturer candidates for the human resource development, the story sheet 31 created by the lecturer candidate (see FIG. 6) and the demonstration video that captures the state of the demonstration performed by the lecturer candidate in the mock training. Then, based on the story sheet 31 and the demonstration video described by the lecturer candidate, the service provider determines whether the lecturer candidate can give a lecture as a lecturer for the training on a specific theme among one or more themes. As a result of the determination, if a lecturer candidate is determined to be unable to give a lecture, the service provider sets issues for the lecturer candidate to become able to give a lecture, generates solutions to the issues, and presents the solutions to the lecturer candidate. This makes it possible to support lecturer candidates aiming to be lecturers for training on a specific theme among multiple themes so that they can give a lecture as a lecturer for the training on the specific theme.

[0014] Here, an explanation will be given of the diagnostic test of business basic skills (hereinafter simply referred to as "test") included in the human resource development service implemented by the service provider. In the present embodiment, the server 10 conducts the test in cooperation with the lecturer candidate terminal 20 as follows. That is, the server 10 first transmits questions consisting of one or more out of a plurality of questions previously stored in the server 10 to the instructor candidate terminal 20, and receives the answers input by the learners for each of these one or more questions.

[0015] The test is conducted by the service provider. The questions of the test are for evaluating the basic capabilities (business basic capabilities) of learners including instructor candidates in their business, and are issued by the service provider for each skill to be evaluated in one or more businesses and for each of one or more themes of each skill. The business basic capabilities refer to technologies or capabilities useful in performing work as a working adult.

[0016] The relationship between the skills and themes for evaluating the business basic capabilities will be explained. The skills are defined as i (i is an arbitrary integer value of 1 or more), and further, j (j is an arbitrary integer value of 1 or more independent of i) themes are defined for each of the one or more skills. Note that the themes mentioned here are different from the training themes of the instructor training that the instructor candidates will receive later. In the test, questions related to each of the themes are issued for each item.

[0017] The instructor candidate terminal 20 receives the test transmitted by the server 10. Then, the instructor candidate operates the instructor candidate terminal 20 to input answers for each of the plurality of questions constituting the test. The instructor candidate terminal 20 transmits the answers to the test (the aggregate of the answers to each question) input by the instructor candidate to the server 10.

[0018] Every time the answers to the test are transmitted from each of the instructor candidate terminals 20-1 to 20-n, the server 10 sequentially acquires the answers and conducts scoring. In addition, the server 10 normalizes the scoring results for each item and stores and manages them as scores for each instructor candidate.

[0019] Server 10 sets and stores extraction conditions for extracting the scores of a predetermined population from the scores managed for each instructor candidate. Note that the predetermined population is not particularly limited. For example, among various attribute information regarding instructor candidates, various populations such as a group consisting of instructor candidates for whom one or more predetermined attribute information match, or a group consisting of instructor candidates whose scores are within a certain range can be adopted. As a premise, it is assumed that Server 10 manages, for each instructor candidate, various attribute information of the instructor candidate in association with the score indicating the scoring result. In this case, as extraction conditions for extracting the scores of a predetermined population, for example, the same age, the same gender, the value of the score, the range of the score, etc. can be adopted.

[0020] Server 10 extracts the score of a predetermined instructor candidate and the score of the predetermined population to which the predetermined instructor candidate belongs, and compares the two scores. Specifically, for example, the score of the predetermined instructor candidate can be compared with the average value, the maximum value, or the minimum value of the scores of the predetermined population to which the predetermined instructor candidate belongs.

[0021] Further, Server 10 causes a graph plotting the score of the predetermined instructor candidate and the score of the predetermined population to which the predetermined instructor candidate belongs to be displayed on the screen of the instructor candidate terminal 20 of the predetermined instructor candidate.

[0022] Thereby, the instructor candidate can easily visually recognize the degree of growth obtained by comparing the current skills and past skills of the instructor candidate, and the training effect as an instructor, from the distribution of the value of the score of the instructor candidate himself / herself for each theme of each skill and the value of the score of the predetermined population to which the instructor candidate belongs, in the graph displayed on the screen of the instructor candidate terminal 20.

[0023] FIG. 2 is a block diagram showing the hardware configuration of the server in the information processing system 1 of FIG. 1.

[0024] 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 unit 106, an input unit 107, a storage unit 108, a communication unit 109, and a drive 110.

[0025] The CPU 101 executes various processes according to a program recorded in the ROM 102 or a program loaded from the storage unit 108 into the RAM 103. The RAM 103 also appropriately stores data and the like necessary for the CPU 101 to execute various processes.

[0026] The CPU 101, ROM 102, and RAM 103 are interconnected via the bus 104. The input / output interface 105 is also connected to this bus 104. The output unit 106, input unit 107, storage unit 108, communication unit 109, and drive 110 are connected to the input / output interface 105.

[0027] The output unit 106 is composed of a display, a speaker, etc., and outputs various information as images and sounds. The input unit 107 is composed of a keyboard, a mouse, etc., and inputs various information.

[0028] The storage unit 108 is composed of a hard disk, a DRAM (Dynamic Random Access Memory), etc., and stores various data. The communication unit 109 communicates with other devices (lecturer candidate terminal 20 in the example of FIG. 1) via a network NW including the Internet.

[0029] A removable medium 111 made of a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, etc. is appropriately mounted on the drive 110. The program read from the removable medium 111 by the drive 110 is installed in the storage unit 108 as necessary. In addition, the removable medium 111 can also store various data stored in the storage unit 108, just like the storage unit 108.

[0030] FIG. 3 is a functional block diagram showing the functional configuration of the server in the information processing system of FIG. 1. As shown in FIG. 3, in one area of the storage unit 108 (FIG. 2) of the server 10, a DB 141 and a problem-solving model 142 are provided. In the DB 141, as information about candidate lecturers for the cultivation of such human resources when training for improving basic business capabilities is provided through participation in training on one or more themes, a story sheet 31 (see FIG. 6) created by the candidate lecturer, a demonstration video (demonstration data including audio and video) showing the state of the mock training demonstration by the candidate lecturer, and a reference table 30 (see FIG. 5) set in advance for each of one or more themes are stored. Specifically, the story sheet 31 created by the candidate lecturer and the demonstration video or the like that captures the state of the candidate lecturer performing the mock training are stored in the DB 141 in association with the service user ID. In addition, in the DB 141, there are stored a predetermined standard that a lecturer set for each training theme (see the reference table 30 in FIG. 5), data including an information group in which the result of determining the eligibility to take the stage based on the predetermined standard, the achievement rate for each item, the items that do not meet the standard in the result of the stage eligibility judgment, and the items for each training and the problems related to each item are associated with each other. Details of the reference table 30 will be described in detail in the description of FIG. 5. In addition, the DB 141 stores information about the attendees including the candidate lecturers, and logs such as the results of the training achievements that the attendees have received so far and the results of the business basic ability diagnostic tests (hereinafter referred to as "examination logs").

[0031] The information about the attendees is, for example, information for an employee working in a company or the like to take training held by a service provider for improving their own skills. The information about the attendees includes information such as the company and industry to which the attendee belongs and candidate lecturer information.

[0032] The instructor candidate information includes, as attributes of the individual instructor candidate, age, gender, etc. In addition, the instructor candidate information includes work experience, etc. Work experience is, for example, multiple types of experience such as the business experience, industry of experience, learning experience, etc. of the instructor candidate. In addition, as instructor candidate information, for example, the score of the instructor candidate in the most recent test conducted (the current score (refer to the example in FIG. 4)) is stored in DB141.

[0033] In instructor training, an instructor candidate can take a training course from among the training themes in the training theme list by skill. Multiple trainings are stored as training themes. Training includes, for example, training sessions and seminars for implementing a training program, etc., and it is possible for multiple instructor candidates to participate in multiple trainings. One or more training themes correspond to each of the multiple trainings.

[0034] In addition, DB141 stores information regarding tests conducted by service providers. Information regarding tests includes, for example, a set of one or more questions of the test and the correct answers for each question, the test results (scores for each skill item) of individual learners including instructor candidates, the business basic ability evaluation results (scores for each skill), which are comprehensive evaluations thereof, questionnaires to training service using companies and learners, answers to the questionnaires, the number of training service using companies, the number of learners, the number of companies starting hierarchical education, the number of learners by training theme and level, the lead time required for the decision-making until the introduction of education, the number of service user ID registrations, etc., and human resource development log information is stored.

[0035] The score is a numerical value obtained by evaluating the score for each item of the test, for example, on a 5-point scale (from "1" to "5"), and the numerical value obtained by summing for each skill is also stored. When there are five items for one skill, the full score for one skill is 25 points, and the evaluation for each skill of the learner is shown by the value obtained by summing the scores of the individual skill items in this case.

[0036] DB141 stores information about the companies to which the instructor candidates and course participants belong (company size (number of employees), organizational structure (hierarchy, etc.), departments, department layout, etc.). In addition, DB141 stores information about each employee (course participant) in the company (e.g., employee name, age, date of joining the company, years of service, organizational position, job title, etc.) associated with the employee's personal identification information such as the employee number. Note that the above inspection logs from one year ago or several years ago are just examples, and it can be three years ago as long as it is past performance.

[0037] The problem-solving model 142 is an AI model that outputs solutions to problems by inputting the problems. By being trained by learning methods such as machine learning or deep learning by the learning unit 126, it can derive more effective solutions to the problems. AI is an abbreviation for Artificial Intelligence.

[0038] In the CPU 101 of the server 10 (see Figure 2), when executing the process of determining whether an instructor candidate can give a lecture, as shown in Figure 3, the instructor candidate information acquisition unit 121, the lecture permission determination unit 122, the display control unit 123, the problem-solving solution generation unit 124, the performance record acquisition unit 125, and the learning unit 126 function.

[0039] The instructor candidate information acquisition unit 121 obtains, as information about instructor candidates for the personnel training when a predetermined personnel training is carried out through participation in training on one or more themes, the personal attribute information of the instructor candidates (age, personality, occupation, experience, department affiliation in the company, job title, etc.), the story sheet 31 created by the instructor candidate (see Figure 6), and the demonstration video showing the state of the instructor candidate's mock training demonstration. Specifically, the instructor candidate information acquisition unit 121 receives the story sheet 31 and the demonstration video sent from the instructor candidate terminal 20 and stores them in the DB141 in association with the service user ID of the instructor candidate of the sending instructor candidate terminal 20. When the speaker candidate information acquisition unit 121 executes the appearance permission determination process, it reads out the story sheet 31 and the demonstration video from the DB 141 and outputs them to the appearance permission determination unit 122. When executing the process in real time in response to a request from the speaker candidate terminal 20, the speaker candidate information acquisition unit 121 may output the story sheet 31 and the demonstration video received from the speaker candidate terminal 20 to the appearance permission determination unit 122.

[0040] In addition, the speaker candidate information acquisition unit 121 acquires, as the current evaluation value, the current evaluation value (current score) of the business basic ability of the target person. Specifically, since information indicating the business basic ability of each of one or more employees belonging to the company's organization or the speaker candidate is acquired via the speaker candidate terminal 20 and stored in the DB 141 as the current score, the speaker candidate information acquisition unit 121 reads out the current score from the DB 141 and acquires it as the current evaluation value. The information indicating the business basic ability is, for example, the score of a test for each theme for evaluating skills for measuring the business basic ability (for example, evaluation elements such as business knowledge, communication, planning control, and sinking in FIG. 4). The speaker candidate information acquisition unit 121 creates, for each item of each theme, a question for the examinee (in this case, the speaker candidate) to answer by operating the speaker candidate terminal 20 from among the questions for skill evaluation of the examinee (in this case, the speaker candidate) pre-stored in the DB 141. The collection of questions and answers for each theme of each skill of each business basic ability created in this way is a test.

[0041] The speaker candidate information acquisition unit 121 displays the test on the speaker candidate terminal 20 via the communication unit 109, thereby presenting the test to the examinee (speaker candidate). The examinee (speaker candidate) inputs answers (answers for each question) to the test presented by the speaker candidate information acquisition unit 121 by operating the speaker candidate terminal 20. The answers input by the examinee (speaker candidate) are transmitted from the speaker candidate terminal 20 to the server 10.

[0042] The instructor candidate information acquisition unit 121 acquires the test answers (a collection of answers for each question) transmitted from the instructor candidate terminal 20 via the communication unit 109. The instructor candidate information acquisition unit 121 scores each question of the acquired test answers based on a predetermined scoring criterion. The instructor candidate information acquisition unit 121 normalizes (scores on a five-point scale) the scoring results for each question for each theme of each skill, associates the score with the item name of each theme as an evaluation result in the DB 141, stores and manages it for each examinee (instructor candidate), and stores it as one of the instructor candidate information.

[0043] In response to an evaluation presentation request (sheet creation instruction) from the instructor candidate terminal 20 of a predetermined instructor candidate, the instructor candidate information acquisition unit 121 acquires from the scores of one or more instructor candidates managed in the DB 141 the score of the predetermined instructor candidate and the score of the predetermined population including the predetermined instructor candidate, and outputs them to the display control unit 123. Note that the predetermined instructor candidate may be referred to as the first instructor candidate.

[0044] The predetermined population is extracted by predetermined extraction conditions pre-stored in the DB 141. Specifically, for example, a population can be extracted with any combination of any number (including 1) of the same age, same sex, or the past scores of the predetermined instructor candidate himself / herself as the predetermined extraction conditions.

[0045] The stage appearance possibility determination unit 122 determines whether a lecturer can appear as a lecturer for a specific theme among one or more themes based on the story sheet 31 and the demonstration video. Specifically, the stage appearance possibility determination unit 122 reads out the story sheet 31 and the demonstration video associated with the service user ID of the instructor candidate who has conducted the mock training from the DB 141, analyzes the story sheet 31 and the demonstration video by AI, and determines whether a lecturer can appear as a lecturer for a specific theme among one or more themes.

[0046] The stage participation determination unit 122 includes, as an AI-based analysis function, a standard achievement measurement unit 131, an index acquisition unit 132, and a stage participation determination unit 133. The standard achievement measurement unit 131 measures whether the content and expression reach their respective predetermined standards for each of one or more items related to the training content and each of one or more items related to the expression based on the story sheet and the demonstration video. Specifically, if the training on a specific theme is, for example, "greeting training", the standard achievement measurement unit 131 reads from the DB 141 the story sheet 31 for "greeting training" created by the candidate instructor, the demonstration video of the candidate instructor simulating the "greeting training", and the standard table 30 for "greeting training", and measures whether the content of the demonstration video recorded in the simulated training reaches the standards defined in the standard table 30. More specifically, at each timing (such as the beginning, middle, and end of the training) in the flow along the story sheet 31, whether the content and points conveyed by the story sheet 31 are conveyed to the trainees (whether the conveying elements are included) is determined by the AI from the demonstration video.

[0047] The index acquisition unit 132 acquires an index (achievement standard combining the must-achieve condition P and the satisfaction condition Q) indicating the possibility of taking the stage for a specific theme, which is an index (achievement standard) shown by the relationship with a predetermined standard (achievement rate n% of the must-achieve condition P or achievement rate 100% of the satisfaction condition Q) for at least some of one or more items related to the content and one or more items related to the expression (for example, for the "expression" item in the "category" of the standard table 30 in FIG. 5, questions, examples, voice, fluency, expression, gesture, etc.). The index is a standard achievement criterion for determining that it is possible to take the stage as an instructor for "greeting training" when all items among one or more items related to the content and the one or more items related to the expression satisfy the must-achieve condition P (first standard) in FIG. 5 and a predetermined number (for example, half) or more of the items satisfy the satisfaction condition Q (second standard) in FIG. 5. For example, for the "must-achieve condition P" at level "3" of the "question" item, it means that there are ○ times (for example, 2 times or more) or more of questions that are easy for the trainees to think of, and for the "satisfaction condition Q", it means that there are X times (for example, 4 times or more) or more of questions that are easy for the trainees to think of. In this example, the satisfaction condition Q is set to be a stricter condition than the must-achieve condition P.

[0048] The lecture-possibility determination unit 133 determines whether a lecturer candidate can give a lecture on a specific theme based on the measurement results (the achievement status of each criterion for each item) by the criterion achievement measurement unit 131 and the criteria (achievement standards). Specifically, the lecture-possibility determination unit 133 determines that a lecturer candidate can give a lecture as a "greeting training" lecturer when all items among one or more items related to content and one or more items related to expression satisfy the must-achieve condition P and a predetermined number (for example, half) or more of the items satisfy the satisfaction condition Q. Note that the examples of the criteria shown here are just examples, and it is sufficient as long as it is a combination of the achievement status of the must-achieve condition P and the satisfaction condition Q. Also, as examples of the criteria, two criteria, namely the must-achieve condition P that is minimally required for a lecturer and the satisfaction condition Q that is required for a lecturer, are shown, but it is not limited to just these two, and it may be multiple or multi-level criteria. In the above embodiment, the lecture possibility is determined using the criteria (achievement standards), but the lecture possibility may also be determined simply by whether a predetermined criterion (for example, the satisfaction condition Q, etc.) corresponding to a specific training is satisfied without using the criteria (achievement standards).

[0049] The display control unit 123 performs control to display on the screen of the lecturer candidate terminal 20 the lecture possibility determination result output from the lecture-possibility determination unit 122 and the problems and their solutions for clearing the criteria output from the problem-solving measure generation unit 124 for the lecturer candidates determined to be ineligible to give a lecture. Specifically, for a lecturer in the "greeting training", messages such as "not reaching the criteria and 'ineligible to give a lecture'" or "reaching the criteria and 'eligible to give a lecture'" are displayed on the screen of the lecturer candidate terminal 20.

[0050] In addition, the display control unit 123 controls to display, on the screen of the instructor candidate terminal 20 via the communication unit 109, two line graphs (see, for example, the radar chart in FIG. 4) in which the current score and the ideal score of the instructor candidate are respectively plotted in a circular display area. Thereby, when taking the instructor training necessary for honing the skills required to become an instructor for human resource development training, the instructor candidate can determine which training theme of the instructor training to start with.

[0051] When the presentation feasibility determination unit 122 determines that the instructor candidate is not eligible for presentation, the problem-solving strategy generation unit 124 sets problems for the instructor candidate to become eligible for presentation and generates solutions to the problems. Specifically, when the training determined to be ineligible for presentation is, for example, greeting training and the item that does not meet the standard is "voice", the problem-solving strategy generation unit 124 reads out, from the DB 141, for example, "the voice does not reach the minimum required standard" as a problem related to "voice", sets it as a problem, inputs the problem into the problem-solving model 142, and when solutions such as "perform abdominal breathing exercises for 5 minutes every day" and "speak towards the recorder 20 m away in the classroom" are output from the problem-solving model 142 in response to the input, presents those solutions on the screen of the instructor candidate terminal 2 through the display control unit 123.

[0052] In addition, based on the degree of achievement for each item obtained as the measurement result, the problem-solving strategy generation unit 124 identifies one or more items whose degree of achievement of the predetermined standard is less than a certain level, and sets as a problem that the degree of achievement of the identified one or more items for the predetermined standard (for example, satisfaction condition Q, etc.) becomes a certain level or more, and generates a solution to the problem. Specifically, based on the degree of achievement for each item obtained as the measurement result, the problem-solving solution generation unit 124 identifies one or more items for which the criteria for being able to give a lecture (for example, the degree of achievement of satisfaction condition Q) are less than a certain level. If the identified item is, for example, "goal setting", it sets as a problem that the achievement rate of satisfaction condition Q for that "goal setting" reaches 100%, and generates a solution to the problem, such as "Observe the training of other lecturers and observe the state of the attendees". In this way, by setting as a problem that the degree of achievement for items with a degree of achievement of satisfaction condition Q less than a certain level reaches a certain level or more, and generating a solution to that problem, the lecturer candidate can implement more specific solutions (efforts) for items that are not good at, and solve the problem so as to satisfy satisfaction condition Q (achieve the criteria).

[0053] Furthermore, the problem-solving solution generation unit 124 sets N problems (N is an integer value of 1 or more) and generates M solutions (M is an integer value of 1 or more independent of N). Thereby, for example, by generating a plurality of solutions for one problem and presenting them to the lecturer candidate, the lecturer candidate can solve the problems in the order of ease of implementation for himself / herself.

[0054] The effort performance acquisition unit 125 acquires from the lecturer candidate terminal 2 the effort performance of the lecturer candidate for the solutions to the problems presented by the problem-solving solution generation unit 124 to the lecturer candidate, and outputs it to the learning unit 126. The effort performance includes, for example, for the item of "goal setting", efforts such as "Observe the training of other lecturers and observe the state of the attendees", and the result of whether the lecturer candidate cleared the criteria in the next mock lecture as the result of executing that effort.

[0055] The learning unit 126 causes the problem-solving model 142 to learn based on the effort performance (good results or bad results came out for the solution) acquired by the effort performance acquisition unit 125. Specifically, the learning unit 126 improves the quality of solutions for a lecturer candidate to meet the criteria for a task by causing the task solution model 142 to learn the task performance (task actions and their results) input from the task performance acquisition unit 125 as teacher data. In addition to the above, as a method of causing the task solution model 142 to learn, a learning method that does not use teacher data may also be used.

[0056] Here, with reference to FIG. 4, the indexes for evaluating the basic business capabilities will be described. The indexes for evaluating the basic business capabilities are defined (categorized) into four skills such as "Business knowledge", "Planning & Control", "Thinking", and "Communication", as shown in the graph shown in FIG. 4, for example. Skill items are set for each of the four defined (categorized) skills. The skill item is one of the evaluation elements of each skill. For each skill, training (lectures) is set for each skill item.

[0057] For example, the skill items for measuring the basic business capabilities of the "Business knowledge" skill include current affairs, legal affairs / human resources / labor, finance / accounting, marketing, management, etc. Although not shown, the skill item of legal affairs / human resources / labor includes sub-items such as human resources / labor and compliance.

[0058] The skill items for measuring the basic business capabilities of the "Planning & Control" skill include purpose and goal, plan, business management, review / evaluation, improvement, etc. Although not shown, the skill item of purpose and goal includes a sub-item of purpose thinking. In addition, the skill item of plan includes a sub-item of action plan formulation.

[0059] The skill items for measuring the business basic skills of the "Thinking" skill include numerical processing, utilization of thinking methods, information collection, issue setting, solution formulation, etc. Although not shown in the figure, the theme of utilization of thinking methods includes the sub-theme of element analysis ability.

[0060] The skill items for measuring the business basic skills of the "Communication" skill include negotiation, document transmission, oral transmission, listening, business manners, etc. Although not shown in the figure, the skill item of document transmission includes the sub-item of slide creation ability.

[0061] Here, the method of categorizing the skills for evaluating business skills will be explained. Skills are systematically divided into four major categories, which are the necessary skills for growth in personnel training. In order for a person to achieve results, "Planning & Control" of planning ability and execution ability is required. In order to improve this planning ability and execution ability, "Thinking" of ways of thinking such as ideas and judgments, "Communication" of communication ability to build human relationships, and "Business Knowledge" of prerequisite knowledge are simultaneously required. By diagnosing the business basic skills by dividing them into these four skills in this way, the characteristics of the skills possessed by the person being diagnosed become easier to see.

[0062] The business basic skills are set in units of individual skill items or in units of lectures set with one or more themes. By having the trainees take the training, the improvement of the trainees' business skills can be achieved. When the trainees take the training, a business basic skills diagnosis test is implemented before, during, and after the training.

[0063] Here, the instructor training skill map in instructor training will be explained. The instructor training skill map is provided with items such as major items, medium items, minor items, description content, level 1, level 2, level 3, level 4, etc. Levels corresponding to the degree of achievement of each content are assigned to instructor candidates. For example, the first major item in the instructor training skill map is the item regarding the content of the training that the instructor candidate actually gave to the trainees (such as those who evaluate the content of the lecture). The middle items are the current situation and the future regarding the content of the talk. The minor items are the current situation of the content of the talk. The described content is the specific content of the talk. Level 1 means that the trainees cannot be envisioned, Level 2 means that although the trainees are intended to be envisioned, it is ambiguous, Level 3 means that the trainees can be envisioned but it is not appropriate, Level 4 means that the trainees can be appropriately envisioned along with the theme, etc. Based on the instructor training skill map, the level of each instructor candidate is assigned for each item.

[0064] In addition to the content of the training talk, the major items include expression, etc. In addition to the changes in the trainees, the middle items include overall design, detailed design, etc. In addition to the current situation, the minor items include the approach method based on the trainees' attending postures, the overall composition, the voices of the trainees, conclusions, reasons, details, the development of the talk, etc. In addition to the specific content of the talk, the described content includes training points, etc. In addition to not being able to envision the trainees, Level 1 also includes not understanding the perspective of the trainees, etc. For Level 2 and later, criteria are set to further examine whether the instructor candidate has the thinking as an instructor based on the content of Level 1. That is, each item in the instructor training skill map is a check item for evaluating whether the instructor candidate can not only make the trainees understand the training content, but also design a training that can help the trainees grasp their current situation and lead to changes in their future actions. According to this instructor training skill map, instructor training is conducted, and the instructor candidates who complete the training can become eligible instructors by clearing the check on whether they can give a lecture according to the criteria table described below.

[0065] Here, the criteria table will be explained with reference to FIG. 5. As shown in FIG. 5, the criteria table 30 defines the criteria necessary for the instructor who conducts the training on the theme to give a lecture, and is set for each of the trainings on one or more themes. The categories in the criteria table 30 are set by dividing them into "content" and "expression" that the instructor should do in the training. One or more items are set for each category. Specifically, for the "Content" category, items such as goal setting, assumptions about the participants, knowledge, overall design, speech structure, etc. are provided. For the "Expression" category, items such as questions, examples, vocalization, fluency, facial expressions, gestures, etc. are provided. The levels of the reference table 30 vary for each theme and are set on a scale of 1 to 5. The levels indicate the difficulty of each item, with a higher numerical value indicating a higher level of difficulty. The criteria required for each item of content and expression vary for each training session. For example, for the "Greeting Training", conditions such as vocalization and facial expressions are set high, and for the "Basic Labor Knowledge Training", conditions such as examples are set high.

[0066] For each item, criteria corresponding to the difficulty of that item are set. As criteria, for example, the mandatory condition P, which is the minimum requirement for a trainer for the training on that theme, is set. Also, as the second criterion required for the trainer, for example, the satisfaction condition Q is set. For example, as the mandatory condition P for the item "Goal Setting" in the "Content" category with a difficulty level of "Level 3", a condition such as "Two or more of the necessary elements are included" is set. Also, as the satisfaction condition Q for the same item, a condition such as "Four or more of the necessary elements are included" is set. In the reference table 30, when the skills of an item in the training meet the mandatory condition P, it is considered 50% achieved (achievement rate of 50%), and when the satisfaction condition Q is met, it is considered 100% achieved (achievement rate of 100%).

[0067] Here, the story sheet will be explained with reference to FIG. 6. As shown in FIG. 6, the story sheet 31 is a design sheet for the content to be conveyed in the training (including changing the mood of the participants depending on the content to be conveyed), and is created by the trainer candidate before conducting the mock training. The story sheet 31 created by the instructor candidate is uploaded to the server 10 and stored in the DB141 in association with the service user ID of the instructor candidate who conducts the simulation training. The story sheet 31 describes the instructor name, training theme name, attributes of the training participants, goals of the training, overall design, and other contents. As the overall design, it is set to describe the content to be conveyed and the key points of the content to be conveyed for each time period of the training (the beginning of the training, the middle of the training, the end of the training). In this story sheet 31, since the content to be conveyed in the beginning, middle, and end of the training is set for each training, it can be determined whether they are correctly understood by the content described in the columns of each item.

[0068] Figure 7 is a diagram showing a flowchart that shows the operation of determining whether an instructor candidate can take the stage on the servers of Figures 2 and 3.

[0069] As shown in Figure 7, in the server 10, in step S11, the instructor candidate information acquisition unit 121, as information about the instructor candidate for the personnel training (such as training for improving basic business skills) when the training for one or more themes is conducted, acquires the story sheet 31 (see Figure 6) created by the instructor candidate, and the demonstration video showing the state of the demonstration of the simulation training of the instructor candidate.

[0070] In step S12, the stage appearance determination unit 122 determines whether the instructor candidate can take the stage as an instructor for a specific theme (for example, "greeting training", etc.) among one or more themes based on the story sheet 31 and the demonstration data. Note that the specific theme is determined based on recommendations of the results of the appropriateness judgment in the instructor training, as well as other external factors such as the wishes of the instructor himself / herself, recommendations from third parties, and the company's policies.

[0071] Here, in step S12, the following stage appearance determination processes of steps S21 to S23 are executed.

[0072] In step S21, based on the story sheet and the demonstration data, the standard achievement measurement unit 131 measures whether the content and expression meet the respective predetermined standards for each of one or more items related to the training content and each of one or more items related to the expression. Specifically, the standard achievement measurement unit 131 reads out the standard table 30 for the training of the specific theme from the DB141, and measures whether the content of the demonstration video reaches the standards specified in the standard table 30 (whether each of the necessary condition P and the satisfaction condition Q is satisfied).

[0073] In step S22, the index acquisition unit 132 obtains, as an index indicating the possibility of taking the stage for the specific theme, an index (achievement standard combining the necessary condition P and the satisfaction condition Q) indicated by the relationship with the predetermined standards (necessary condition P and satisfaction condition Q) for at least some of the one or more items related to the content and the one or more items related to the expression (for example, if it is an item of "expression" in the category of FIG. 5, questions, examples, voice, smooth talk, expression, gesture, etc.). In step S23, based on the measurement result (the achievement status of each standard of each item) by the standard achievement measurement unit 131 and the index (achievement standard), the stage appearance determination unit 133 determines whether the lecturer candidate can take the stage as the lecturer for the specific theme.

[0074] In step S12 above, if it is determined by the stage appearance determination unit 122 that the lecturer candidate cannot take the stage, in step S13, the problem solution generation unit 124 sets a problem for the lecturer candidate to be able to take the stage and generates a solution to the problem.

[0075] After generating the solution, in step S14, the problem solution generation unit 124 presents the solution to the problem to the lecturer candidate terminal 2 via the display control unit 123.

[0076] According to the operation of the server 10 in this way, a story sheet 31 (see FIG. 6) created by a candidate instructor and a demonstration video showing the state of the demonstration of the candidate instructor's mock training are acquired, and based on the story sheet 31 and the demonstration video, it is determined whether the candidate instructor can take the stage as an instructor for the "greeting training". Therefore, the candidate instructor can find the possibility of actually taking the stage as an instructor for the "greeting training" among the trainings of multiple themes.

[0077] Next, referring to FIG. 8, an example of providing an issue for a candidate instructor determined to be unable to take the stage to become able to take the stage and a solution to the issue when the training of a specific theme is [greeting training] will be described. FIG. 8 is a diagram showing an example of a reference table in which the criteria required for taking the stage of [greeting training] are set.

[0078] In the case of [greeting training], since it is required that the instructor himself / herself is a good practitioner of greetings, in the reference table shown in FIG. 8, the levels of the criteria required in terms of voice, speech rate, expression, and gesture are set as high as "4". The indicators (achievement standards) are to satisfy both of the following criteria (two conditions: mandatory condition P and satisfaction condition Q). · Satisfying all items of the mandatory condition P. · Satisfying more than half of the items of the satisfaction condition Q. The results of checking the entry contents filled in the story sheet 31 and the demonstration video were as follows. Regarding the content corresponding to "goal setting" in the reference table 30, three elements were included in the entry contents of the story sheet 31 and the demonstration video. Similarly, regarding the content corresponding to "assumptions of participants", two elements were included in the entry contents of the story sheet 31 and the demonstration video. Similarly, regarding the content corresponding to "knowledge", there were no inappropriate parts in the appropriate use of greetings according to the scene in the entry contents of the story sheet 31 and the demonstration video. Similarly, regarding the content corresponding to "overall design", four elements were included in the entry contents of the story sheet 31 and the demonstration video.

[0079] As a result of comparing the above check results with the conditions in the reference table 30, In "Goal Setting", since there were three elements, the mandatory condition P was satisfied. In "Assumptions of Participants", since there were two elements, the mandatory condition P was satisfied. In "Knowledge", since there were no inappropriate points regarding the proper use of greetings according to the situation, the satisfaction condition Q was satisfied. In "Overall Design", since there were four elements, the satisfaction condition Q was satisfied. Regarding other conditions as well, as a result of checking the achievement levels of the mandatory condition P and the satisfaction condition Q respectively, the mandatory condition P was satisfied in all items, and the satisfaction condition Q was satisfied in more than half of the items. As a result, the indicator (achievement standard) for the eligibility to give a lecture is met, it is determined that the candidate lecturer can give a lecture, and a message indicating "Eligible to give a lecture" is displayed on the screen of the candidate lecturer terminal 20.

[0080] As a result, when the achievement level with respect to the criteria in the reference table 30 of the example of [Greeting Training] in FIG. 8 meets the indicator (achievement standard) and it is determined that the candidate lecturer can give a lecture, a message indicating "Eligible to give a lecture" is displayed on the screen of the candidate lecturer terminal 20, so the candidate lecturer can know that he / she can give a lecture as the lecturer of [Greeting Training].

[0081] On the other hand, when it is determined that the candidate lecturer is ineligible to give a lecture, the candidate lecturer needs to obtain information on which items of the training that was determined to be ineligible to give a lecture did not meet the criteria, and improve his / her skills to clear the criteria until the next simulation training is carried out.

[0082] Therefore, the following will explain specific support methods for candidate lecturers who have been determined to be ineligible to give a lecture. In server 10, when the problem-solving solution generation unit 124 receives the result of the standard achievement measurement unit 131 measuring the degree of achievement against the standard, for items that do not meet the minimum required standard (mandatory condition P) or the required standard (satisfaction condition Q), it sets problems for the lecturer candidate to be able to take the stage, and outputs the solutions (measures) for these problems to the problem-solving model 142 (AI) and presents them to the lecturer candidate.

[0083] The combinations of problems and solutions (measures) are as follows: the first to third patterns. (1) The first pattern is the pattern of problem "1" vs. solution "N", where multiple solutions (measures) are output for one problem. (2) The second pattern is the pattern of problem "N" vs. solution "N", where multiple solutions (measures) are output for multiple problems. (3) The third pattern is the pattern of problem "N" vs. solution "1", where one solution (measure) is output for multiple problems.

[0084] For example, taking "greeting training" as an example, the output examples of the above first to third patterns are illustrated and explained below.

[0085] (1) The first pattern In "greeting training", when the "voice" item in the standard table 30 in Fig. 5 does not meet the standard, [Problem] · "Voice" does not reach the minimum required standard. (Current situation: The time of speaking within the volume range set for each part of the training is 30% of the whole) [Solution (measure)] · Perform abdominal breathing exercises for 5 minutes every day. · Speak towards the recorder 20m away in the classroom.

[0086] (2) The second pattern In "greeting training", when the "goal setting" item in the standard table 30 in Fig. 5 does not meet the standard, [Problem] · "Goal setting" does not reach the required standard. (Current situation: It contains three necessary elements) · It does not meet the criteria required for the assumptions of the participants. (Current situation: It contains two necessary elements) [Solutions (measures)] · Observe the greetings training of other instructors and observe the participants. · Consider the participants' understanding of the training and their self-awareness of the implementation status of greetings.

[0087] (3) The third pattern In the "greetings training", when the "expression" item in the standard table 30 of FIG. 5 does not meet the standard, [Problems] · The "expression" does not meet the required standard. (Current situation: Expressions at level 4 or above account for 60% of the total) · The gestures do not meet the minimum required standard. (Current situation: There was one gesture to appeal to the students) [Solutions (measures)] · Take a picture of yourself while speaking from a position where expressions and gestures can be seen and review it.

[0088] In this way, [Solutions (measures)] for [Problems] are prepared to be output in multiple patterns such as 1-to-N, N-to-N, N-to-1, etc. The problem-solving measure generation unit 124 selects one of the patterns based on the selection operation by the instructor candidate or the attributes (age, personality, occupation, department affiliation, etc.) included in the personal information of the instructor candidate, and inputs the pattern and the problem into the problem-solving model 142. The problem-solving model 142 outputs a solution based on these inputs, so that a solution suitable for the individual instructor candidate can be presented. Therefore, the instructor candidate can overcome the discomfort by implementing a solution suitable for himself / herself, that is, can clear the standard.

[0089] As described above, one embodiment of the present invention has been described. However, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope that can achieve the object of the present invention are included in the present invention.

[0090] 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.

[0091] Also, the functional blocks and databases of the server 10 shown in FIG. 3 are merely examples and are not particularly limited. That is, it is sufficient that the information processing apparatus is provided with functions capable of executing the above-described series of processes as a whole, and the functional blocks and databases used by the information processing apparatus to realize this function are not particularly limited to the example of FIG. 3.

[0092] In addition, although an example in which the functional blocks and databases are arranged in one server 10 has been described, the arrangement location is not limited to FIG. 3, and they may be distributed and arranged in a plurality of information processing apparatuses or may be arbitrarily arranged. 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.

[0093] When the processing of each functional block is executed by software, the program constituting the software is read into a computer such as the CPU of the information processing apparatus from a network or a recording medium. The computer may be a computer incorporated in dedicated hardware. In addition, the computer may be implemented in an information processing apparatus capable of executing various functions by reading various programs, such as a server, or in a general-purpose smartphone, personal computer, or the like.

[0094] A recording medium containing such a program is not only composed of a removable medium distributed separately from the apparatus main body for providing the program to each attendee, but also composed of a recording medium or the like provided to each attendee in a state pre-incorporated in the apparatus main body.

[0095] In addition, in this specification, the steps of describing the program recorded on the recording medium include not only the processes that are performed in chronological order according to that order, but also the processes that are executed in parallel or individually even if they are not necessarily processed in chronological order.

[0096] Also, in this specification, the term "system" means the overall device composed of a plurality of devices, a plurality of means, and the like.

[0097] For example, in the above-described embodiment, the stage appearance determination unit 122 determines whether a candidate lecturer can appear as a lecturer in a mock training (e.g., mock training of "greeting training") of a specific theme (e.g., greeting, etc.) among one or more themes (greeting, basic labor knowledge, etc.). This is only an example, and it is sufficient to determine whether a candidate lecturer can appear as a lecturer for a training of a specific theme based on the story sheet and the demonstration data.

[0098] In the above-described embodiment, two conditions, the mandatory condition P and the satisfaction condition Q, are exemplified as the criteria of the reference table 30. However, only one of the conditions (e.g., satisfying the satisfaction condition Q) may be sufficient, and other conditions or the number of conditions may also be acceptable as long as they are predetermined criteria.

[0099] In the above-described embodiment, it is measured whether the criteria are achieved for each item from two major viewpoints of the content (goal setting, story composition, overall design, etc.) and expression (questioning, voice, tongue movement, expression, etc.) of the demonstration of the mock training of the training of a specific theme. However, other viewpoints may also be acceptable.

[0100] Regarding the stage appearance pass / fail determination, in the above-described embodiment, combinations with different levels for each training theme are exemplified and described. However, weightings of the necessary elements may be performed for each training theme, and pass criteria (conditions) may be set for each.

[0101] In the case of group training and instructor-dispatching type in-house training, since the required criteria are different, it may be determined by taking into account the necessary elements for each. For example, in the instructor-dispatching type in-house training, since the target audience and industries are limited, information on the emcee may be implanted individually. Also, in group training, it may be determined on the premise of evenly communicating with a wide range of people.

[0102] If there are parts that do not meet the criteria for podium qualification, it may be considered qualified if it can be complemented (tolerated) by other items. For example, if the vocalization and tongue movement do not meet the criteria but the speech structure significantly meets the criteria, it may be considered qualified.

[0103] In the above embodiment, as information indicating business basic capabilities, tests were conducted for each skill item of each business skill and normalized scores were obtained. However, in addition to this, for example, the test scores themselves may be obtained, as long as it is information indicating business basic capabilities.

[0104] In the above embodiment, training for improving business basic capabilities and the like were described as an example of human resource development services. However, other services may also be applicable, as long as they are predetermined human resource development services.

[0105] To summarize, 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, the information processing apparatus (for example, the server 10 in FIG. 3) to which the present invention is applied A podium qualification determination means (for example, the podium qualification determination unit 122 in FIG. 3) that determines whether a candidate instructor (such as a candidate instructor aiming to give a speech) for the human resource development when a predetermined human resource development (such as training for improving business basic capabilities) is provided by taking training (such as greeting training and basic labor knowledge training) on one or more themes (such as themes of greetings and basic labor knowledge) can give a speech as an instructor for training on a specific theme among the one or more themes (for example, "greeting training" etc.) based on a predetermined method (a podium qualification determination method using, for example, the story sheet 31 in FIG. 6 described by the candidate instructor and the demonstration video of the simulation training on the specific theme (for example, "greeting training" etc.) demonstrated by the candidate instructor). When it is determined that the candidate lecturer cannot take the stage, issues for the candidate lecturer to be able to take the stage (for example, in the case of "greeting training", the item of "voice" does not meet the minimum required standard as a lecturer, etc.) are set, and a problem-solving measure generation means (for example, the problem-solving measure generation unit 124 in FIG. 3, etc.) that generates solutions to the problems (for example, perform abdominal breathing exercises for 5 minutes every day, speak towards a recorder 20 m away in the classroom, etc.). It is provided with. In this way, it is determined whether a candidate lecturer (such as a candidate for a greeting training lecturer) for a training on a specific theme (such as "greeting training", etc.) can take the stage as a lecturer for the training. As a result of the determination, when it is determined that the candidate lecturer cannot take the stage, issues for the candidate lecturer to be able to take the stage (for example, in the case of greeting training, the voice does not meet the minimum required standard, etc.) are set, and solutions to the problems (for example, perform abdominal breathing exercises for 5 minutes every day, speak towards a recorder 20 m away in the classroom, etc.) are generated. Therefore, by directly recommending that the candidate lecturer (such as a candidate) become a lecturer for a training on a specific theme (such as "greeting training", etc.), the skills of the candidate lecturer (such as a candidate) for a training on a specific theme (such as "greeting training", etc.) can be improved quickly. As a result, it is possible to support a candidate lecturer (such as a candidate) aiming to be a lecturer for a training on a specific theme (such as "greeting training", etc.) among a plurality of themes to be able to take the stage as a lecturer for the training on the specific theme (such as "greeting training", etc.).

[0106] In the above information processing device (for example, the server 10 in FIG. 3, etc.), As information about the candidate lecturer (such as a candidate), a story sheet created by the candidate lecturer and demonstration data showing the state of the candidate lecturer's demonstration in the simulated training on the specific theme (for example, the story sheet 31 in FIG. 6 described by the candidate and a demonstration video of a simulated training on the specific theme (such as a simulated training of "greeting training", etc.) demonstrated by the candidate lecturer, etc.) are further acquired by a lecturer information acquisition means (for example, the candidate lecturer information acquisition unit 121 in FIG. 3, etc.). The stage availability determination means (for example, the stage availability determination unit 122 in FIG. 3, etc.) Based on the story sheet and the demonstration data (such as the story sheet 31 in FIG. 6 described by the candidate lecturer and the demonstration video of the mock training on a specific theme (such as the mock training of "greeting training") demonstrated by the candidate lecturer, etc.), for each of one or more items related to the content of the training and for each of one or more items related to the expression, a criterion achievement measurement means (such as the criterion achievement measurement unit 131 in FIG. 3, etc.) for measuring the degree of achievement (such as achievement rate XX%, etc.) of the content and expression of the training with respect to respective predetermined criteria, and As an index (achievement standard combining the mandatory condition P and the satisfaction condition Q) indicating the possibility of taking the stage for the specific theme, at least a part of the one or more items related to the content and the one or more items related to the expression (for example, in the category of "expression" in FIG. 5, items such as questioning, exemplifying, vocalization, fluency, expression, gesture, etc.) An index acquisition means (such as the index acquisition unit 132 in FIG. 3, etc.) for acquiring an index (achievement standard) indicated by the relationship with the predetermined criteria (such as the mandatory condition P and the satisfaction condition Q, etc.), Based on the measurement result (degree of achievement measured for each item) by the criterion achievement measurement means (such as the criterion achievement measurement unit 131 in FIG. 3, etc.) and the index (achievement standard), a stage appearance determination means (such as the stage appearance determination unit 133 in FIG. 3, etc.) for determining whether the candidate lecturer (such as the candidate lecturer, etc.) can take the stage as a lecturer for the specific theme, and has, The problem-solving measure generation means (such as the problem-solving measure generation unit 124 in FIG. 3, etc.) identifies one or more items (such as goal setting, etc.) with a degree of achievement less than a certain level with respect to the predetermined criteria (such as the satisfaction condition Q for being able to take the stage, etc.) based on the measurement result (degree of achievement for each item), and sets as the problem that the degree of achievement of the one or more identified items (such as goal setting, etc.) with respect to the predetermined criteria (such as the satisfaction condition Q, etc.) reaches a certain level or more (such as achievement rate 100%, etc.), and generates a solution to the problem (such as observing the training of other lecturers and observing the state of the trainees, etc.). In this way, for items whose degree of achievement of a predetermined standard (such as satisfaction condition Q, etc.) is less than a certain level, the issue is to make the degree of achievement reach a certain level or more, and by generating solutions to this issue, the instructor candidate (such as an instructor candidate) can implement more specific solutions (efforts) for the difficult items and solve the issue so as to achieve the predetermined standard (for example, satisfy the satisfaction condition Q).

[0107] In the above information processing apparatus (such as the server 10 in FIG. 3, etc.), The issue solution generation means (such as the issue solution generation unit 124 in FIG. 3, etc.) sets N (N is an integer value of 1 or more) of the above issues and generates M (M is an integer value of 1 or more independent of N) of the above solutions. Thereby, for example, by generating a plurality of solutions for one issue and presenting them to the instructor candidate (such as an instructor candidate), the instructor candidate can solve the issues in the order of ease of handling for himself / herself.

[0108] The information processing method to which the present invention is applied is In the information processing method executed by an information processing apparatus (such as the server 10 in FIG. 3, etc.), When predetermined personnel training (such as training for improving basic business skills, etc.) is carried out by taking training on one or more themes, a podium availability judgment step of judging whether a candidate instructor (such as a candidate instructor aiming to give a lecture on a training on a specific theme among the one or more themes) can give a lecture as an instructor for the training on a specific theme (such as "greeting training", etc.) among the one or more themes based on a predetermined method (a podium availability judgment method using, for example, the story sheet 31 in FIG. 6 described by the candidate instructor and the demonstration video of the simulation training on the specific theme (such as "simulation training of greeting training", etc.) demonstrated by the candidate instructor), When it is determined that the candidate instructor cannot give a lecture, an issue solution generation step of setting an issue for the candidate instructor to be able to give a lecture and generating a solution to the issue, is included. This makes it possible to support a candidate for a lecturer (such as a lecturer candidate) aiming to be a lecturer for training on a specific theme among a plurality of themes (for example, "greeting training", etc.) so that the candidate can appear as a lecturer for training on the specific theme (for example, "greeting training", etc.).

[0109] The program to which the present invention is applied causes a computer to perform a control process including: a stage determination step of determining, based on a predetermined method, whether or not a lecturer candidate for the personnel training when predetermined personnel training is performed by taking training on one or more themes can appear as a lecturer for training on a specific theme among the one or more themes; a problem-solving generation step of setting a problem for the lecturer candidate to become eligible for the stage when it is determined that the lecturer candidate is ineligible for the stage and generating a solution to the problem; This makes it possible to support a candidate for a lecturer (such as a lecturer candidate) aiming to be a lecturer for training on a specific theme among a plurality of themes so that the candidate can appear as a lecturer for training on the specific theme.

Explanation of Signs

[0110] 1... Information processing system, 10... Server, 20, 20-1, 20-n... Lecturer candidate terminals, 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 medium, 121... Lecturer candidate information acquisition unit, 122... Stage eligibility determination unit, 123... Display control unit, 124... Problem-solving solution generation unit, 125... Effort achievement acquisition unit, 126... Learning unit, 141... DB, 142... Problem-solving model, NW... Network​

Claims

1. A learning means for accumulating information on people who have actually worked on a task in the past to enable a lecturer candidate who has been determined to be unable to lecture on a specific theme among the one or more themes to be able to lecture on the task when predetermined human resource development is provided by attending training on one or more themes, and for learning a problem-solving model that outputs a solution to the task by machine learning; An information processing device comprising:

2. The learning means uses the results of efforts carried out by the instructor candidate as training data to train the problem-solving model by machine learning or deep learning. The information processing device according to claim 1 .

3. An information processing method executed by an information processing device, A learning step in which, when predetermined human resource development is provided by taking training courses on one or more themes, among the instructor candidates for said human resource development, information on those who have actually tackled a task in the past to enable an instructor candidate who has been determined to be unable to lecture as an instructor for a training course on a specific theme among said one or more themes to be able to lecture is accumulated, and a problem-solving model is trained that outputs a solution to the task by machine learning; An information processing method including:

4. On the computer, A learning step in which, when predetermined human resource development is provided by taking training courses on one or more themes, among the instructor candidates for said human resource development, information on those who have actually tackled a task in the past to enable an instructor candidate who has been determined to be unable to lecture as an instructor for a training course on a specific theme among said one or more themes to be able to lecture is accumulated, and a problem-solving model is trained that outputs a solution to the task by machine learning; A program that executes control processing including:

Images