JP2019045615A - Learning support system - Google Patents

Abstract

To provide a learning support system that a user can find a learning category that should be learned.SOLUTION: A learning support system includes: a profile transmission unit for transmitting a profile to a user terminal; a user information reception unit for receiving a profile that a user receiving learning responded to the profile transmitted by the profile transmission unit; a problem master in which a problem associated with the profile is stored; and a problem creation unit for selecting a problem suitable for the user from the problem master based on the profile of the user received by the user information reception unit.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a learning support system that presents a learning category to be learned for an industry and job type to which a user belongs.

  With the spread of the Internet, the contents of learning and tests are distributed to the user's information processing terminal, and the user watches and listens to it, answers the test, and learns to improve the academic ability of the user A support system is disclosed.

  For example, in Japanese Patent Application Laid-Open No. 2005-128837, when an answer to a subject is submitted from a student, even if there is a report on the result of the test and the progress of the course, the result will be There is a problem that the support for each user is not performed efficiently, and in order to solve this, the students who receive the learning support, the learning manager who manages the learning support, and the problems submitted by the students It is the attendance management system that the correction person who corrects the answer (submission subject) can connect through the Internet after predetermined user authentication, which is information on various teaching materials (teaching material information), information obtained in the processing process and A learning database (corresponding to a learning DB 1 according to an embodiment to be described later) storing information obtained as a processing result; The teaching material server (equivalent to the teaching material server 2) that provides the teaching material for the lecture (teaching material) and the teaching material (testing material, problem teaching material) for the test or problem corresponding to the lecture to the students While performing control, furthermore, when the submission subject is attached to the received mail, it is determined whether or not there is an error in the received mail, and the result of the judgment is sent to the student of the submission source as a response mail. A attendance management system is disclosed that includes a mail server (corresponding to the mail server 3) and a correction server (corresponding to the correction server 4) that performs processing related to correction of a submission subject.

  This attendance management system can be used not only for students but also for adults.

  However, if the user who is a member of the society learns in advance the category of learning, that is, if the problem of the learning category is given, it is suitable to improve the knowledge level of the user who learns the learning category. Although, in the first place, the target adult user has a desire to improve his / her business knowledge, but the user himself / herself grasps which learning category to learn is lacking. Is not always easy.

JP 2005-128837 A

  The present invention has been made in view of the above points, and its object is to provide a learning support system that allows a user to find out a learning category to be learned.

  The learning support system according to the first aspect comprises a profile transmitting unit for transmitting a profile to a user terminal, a user information receiving unit for receiving a profile answered by a user who receives learning in the profile transmitted by the profile transmitting unit, Having a problem master storing a linked problem and a problem creation unit for selecting a problem suitable for the user from the problem master based on the profile of the user received by the user information receiving unit It is.

  The learning support system according to the second aspect is that, according to the first aspect, the profile answered by the user is at least the industry, the job type and the job position of the goal desired by the user.

  In the learning support system according to the third aspect, in the first aspect or the second aspect, the problem creation unit is a part of the learning category input to the profile and linked to the industry, job type and job position of the goal desired by the user. The problem is to select from the problem master.

  According to a fourth aspect of the present invention, in the learning support system according to any one of the first to third aspects, the problem transmitting unit transmits the problem selected from the problem master by the problem creating unit to the user, and the problem transmitted by the problem transmitting unit. A response receiving unit that answers the user and receives the response, the question master in which the model answer is further stored, the model answer stored in the question master, and the answer received by the answer receiving unit As a result of scoring by a test result creation unit for comparing and scoring and a test result creation unit, as a result of learning, a learning plan creation unit for determining a learning category which is a user's weakness and a teaching material master storing teaching materials to be learned by the user And the learning plan creation unit selects a learning category, and selects a teaching material suitable for the user from the teaching material master for each of the selected learning categories And parts, it is that having.

  The learning support program according to the fifth aspect includes a profile transmitting step of transmitting a profile having a predetermined item stored in the user master to the user terminal by the profile transmitting unit, and transmitted by the profile transmitting step to describe the predetermined item. Selected problem category from the problem master based on the profile receiving step of receiving the selected profile and the industry and job type described in the profile which is the predetermined item received by the profile receiving step. Learning category selection steps are sequentially executed by a computer.

  The learning support program according to the sixth aspect further includes, according to the fifth aspect, a problem level determining step of determining a problem according to a user's job position in a learning category to be asked by the question creating unit. It is something to be run.

  According to the present invention, it is possible to provide a learning support system capable of finding a learning category to be learned by the user.

It is a figure showing an outline of composition of a learning support system concerning this example. It is a block diagram which shows the structure of the learning assistance system which concerns on a present Example. It is a figure which shows the content of a profile. It is the figure which illustrated the list of the industry. It is the figure which illustrated the list of the learning categories which the user stored in problem master should learn. FIG. 17 is a diagram exemplarily showing learning categories to be learned by the user and the degree of importance stored in the problem master in the case where the industry is the printing industry and the job type is sales. It is a figure which illustrates the problem regarding the marketing currently displayed on the screen of a user terminal. It is the figure which was displayed on the screen of the user terminal and illustrated the result of the test. It is the figure which displayed on the screen of the user terminal and illustrated the result according to the attribute of the user. It is a figure which illustrated the result of having compared the score which the user acquired for each learning category displayed on the screen of a user terminal with the average point of a plurality of other users of the same industry, a job type, and a job position. a is the case where the population has the same attributes as the user, and when the basic course is selected, the degree of importance of each learning category and the result of comparison with the deviation value obtained by the user for each learning category FIG. b is the case where the population has the same attribute as the future target vision of the user, and when the basic course is selected, the degree of importance of each learning category and the deviation obtained by the user for each learning category It is the figure which illustrated the result contrasted with the value. It is the figure which illustrated the database about the book stored in the teaching material master, the database about a seminar, and the database about e-learning. In order to reach the deviation value 50 which is the average point of the other users who are general occupations, the user is a conceptual diagram showing teaching materials for each learning course which are displayed by way of example on the user's terminal. FIG. 17 is a conceptual diagram showing teaching materials for each learning course, which are illustratively displayed on the user's terminal, in order to reach the deviation value 50, which is the average point of a plurality of other users of desired managerial staff in the future. . When the user selects a basic course, it is a conceptual diagram showing teaching materials displayed on the terminal of the user as an example. It is a conceptual diagram illustratively displayed on a user's terminal about an evaluation at the time of a user learning about a presented book. Create a learning category problem suitable for improving the user's knowledge from the industry and job type and position described in the user's profile, and by answering it, the user has the learning category that the user currently has It is a figure showing the flow chart explaining the flow of the processing for making knowledge clear. The test result creation step (s321) scores the answer received by the answer reception unit, the model answer stored in the problem master, and the test result creation unit by comparing them, and the score of the user, It is the figure which showed the flowchart which collects the synthetic | combination order | rank of the whole examinee, and also a deviation value. In a learning category determination process (s331), while a learning plan preparation part selects the learning category below the deviation value 50 which the user acquired, it is the figure which showed the flowchart which determines a teaching material level.

  The server 10 is connected to the user terminal 600 via the network n, and the user terminal 600 is connected to the server 10 in an accessible state. The network n can transmit and receive, between the server 10 and the user terminal 600, each piece of data, preferably the Internet, a LAN, etc. The user terminal 600 is preferably not only a personal computer used by a user who receives support for learning but also a portable information terminal such as a tablet or a smartphone.

  The server 10 is realized by a computer including a so-called personal computer, and hardware such as a central processing unit (CPU), a random access memory (RAM), a read only memory (ROM), and a storage device such as a hard disk drive. It has resources.

  In addition, the server 10 includes a profile transmission unit 100, a user information reception unit 101, a problem creation unit 102, a problem transmission unit 103, an answer reception unit 104, a test result generation unit 105, and a test result transmission unit 105a. The teaching material determination unit 106, the learning plan creation unit 109, the learning plan transmission unit 109a, the learning result receiving unit 110, the user master 111, the problem master 112, the teaching material master 113, the test result DB 116, the learning plan It has DB117 and teaching material evaluation DB118.

  The profile 200 is stored in the user master 111, and when a user (not shown) accesses the server 10 from the user terminal 600 to start a test, the profile transmission unit 100 transmits the profile 200 to the user terminal 600. Although various items are described in the profile 200 as shown in FIG. 3, in particular, the user is required to enter the name column 501, the industry column 502, the job type column 503, the job title column 504, the annual income column 505, and the date of birth. Answer is made in the column 506, the vision industry column 512, the vision job type column 513, the vision position column 514, and the vision annual income column 515. Here, the column of the word "vision" is intended for the user in the future, and by inputting it, knowledge of the later-described learning category to be learned in order to reach the user's future goal as described later. Can be found. In addition, it is also preferable to comprise the reverse triangular mark 520 as what is called a pull-down menu so that each item can be selected in each said column. For example, the positions that are positions are, for example, general positions, chiefs, chiefs, chiefs, managers, deputy generals, general managers, directors, etc. However, this does not prevent direct entry of each item (see FIG. 3).

  For example, the user in the present embodiment inputs “printing” in the industry column 502, inputs “sales” in the job type column 503, selects “general job” in the job title column 504, and the annual income column 505. Enter “4 million yen” in and enter the date of birth column 506. Further, as the user's goal as a future goal, “print” is entered in the vision industry column 512, “sales” is entered in the vision job type column 513, and “sales manager” is entered in the vision position column 514. The user transmits the profile 200 in which these are input from the transmitting unit (not shown) in the user terminal 600 to the server 10 via the network n.

  The user information receiving unit 101 receives, from the transmitting unit (not shown) in the user terminal 600, the profile 200 in which the transmitted item fields are input via the network n.

  The problem master 112 stores the problems linked to the profile 200. That is, based on the profile 200 in which each item column received by the user information receiving unit 101 is input, the problem creating unit 102 selects a problem suitable for the user from the problem master 112.

  For example, as shown in FIG. 4, the problem creation unit 102 has 1 pharmaceutical industry, 2 general trading companies, 3 real estate industry, 4 human resources business, 5 insurance industry, 6 chemical industry, 7 retail industry, 8 food industry, 9 credits / Loan, 10 advertising industry, 11 telecommunication industry, 12 securities industry, 13 power and gas industry, 14 printing industry, 15 IT industry, 16 other (macro economy), 17 other (IT terms), 18 other (company law) From the industry, select one industry. In the present embodiment, as described above, “Printing” is described in the profile 200 as the industry, so 14 printing industries are selected.

  Further, as shown in FIG. 5, the problem regarding the learning category to be learned by the user is stored in the problem master 112. For example, the learning categories are: 1 sales strategy / tactic, 2 customer understanding, 3 marketing, 4 accounting / finance, 5 thinking skills (logical thinking), 6 communication, 7 legal / compliance, 8 languages (English), 9 IT literacy, 10 economic news, 11 management strategies, 12 personnel management, 13 personnel management, 14 business strategies, 15 project management, 16 languages (Chinese), 17 statistics basics (business statistics), 18 management accounting, 19 counting management, 20 telephones Power, 21 administrative support, 22 sales promotion (over-the-counter sales), 23 web promotion, 24 advertisement / advertisement, 25 employment, 26 education, 27 sales communication (negotiation, presentation), 28 planning / planning, 29 people management (leadership / communication) , 3 Communication with subordinates (facilitation, coaching), a is the plurality of issues learning category is stored.

  Specifically, in the problem master 112, as shown in FIG. 4, a problem for each learning category linked to each industry selected by the user is stored. That is, for each “industry” and its “job type” in the industry column 502 in the profile 200, a problem for each learning category is stored. Therefore, for example, since the “job type” of the user in the profile 200 and the “job type” in the profile 200 are respectively “printing” and “sales”, the problem creating unit 102 is stored in the problem master 112 “ For example, among the learning categories shown in FIG. 5, (1) sales strategy / tactics, (2) customer understanding, (3) marketing, (5) thinking skills, (6) communications, (9) IT literacy, (10) Economic news, select a total of eight learning categories of 11 management strategies. As described above, a plurality of learning categories selected for each “industry name” and “job type” are linked and stored in advance by the problem master 112, and a problem suitable for the user is selected from the problem master 112 by the problem creating unit 102. Be done. As will be described later, the problems in each learning category associated with each “industry” and its “job type” stored in the problem master 112 can be updated.

  Further, for example, since the job title of the user is “general job”, the problem creating unit 102 selects the problem “general job” linked to “printing” and “sales” from the problem master 112. In this case, since the job position is a general job, a question having a lower degree of difficulty than the manager's job described later is selected. In addition, the above-mentioned problems for each learning category related to the linked “general job” are stored in “printing industry” and “sales”, the problem is regarded as one set of questions, and the one set of questions is the problem master A plurality is stored in 112. In the present embodiment, eight learning categories are selected from the thirty learning categories as described above.

  As described above, learning in which the degree of emphasis is high in the combination of “printing” in the industry column 502 input to the profile 200, “sales” in the job type column 503, and “general job” in the position column 504 Of the category problems, eight problems are selected by the problem creation unit 102. Also, for data collection, select a problem that is not related to the problem category of the learning category. Depending on the correct answer rate of this problem, it is stored in the problem master 112 as a problem having a high degree of importance. For example, it is for feedbacking to 30 learning categories and newly constructing a learning category including the problem. In addition, a learning category with a high degree of importance means a learning category that is considered to be suitable for the industry and job type to which the user belongs, and for example, it is performed by obtaining the correlation coefficient for each industry and job type from the correct answer rate of the problem. Can. For example, in FIG. 6, in the case of “printing” and “sales” in the example, the importance of marketing is 1, the importance of sales strategy and tactics is 1.5, the importance of IT literacy is 0.8, economic news The emphasis is 1.3, the importance of business strategy is 0.9, the importance of communication is 1.2, the importance of thinking skills is 1.2, the importance of customer understanding is 1.4, etc. Eight learning categories are selected in descending order of. Thus, the degree of importance of each learning category can be determined by the industry described in the industry column 502 and the type of work described in the type of work column 503, and the eight learning categories are listed in descending order of numerical value of the importance degree. It is selected. Therefore, for example, if the industry column 502 entered in the profile 200 is described as "IT" and the job type column 503 as "sales", the degree of importance of marketing is 1.1, and the degree of importance of sales strategy / tactics is , 1.5, IT literacy emphasis 1.3, economic news emphasis 1.3, business strategy emphasis one, communication emphasis 1.2, thinking skills emphasis one .2. A degree of emphasis on customer understanding can be defined as 0.9. In this manner, the degree of importance of each learning category is determined for each of the industry described in the industry column 502 input to the profile 200 and the job type described in the job type column 503, and the top eight learning categories are selected. It can be done. However, it is not limited to the top eight learning categories, and may be the top eight or less or the top eight or more. The degree of emphasis can be determined by performing so-called multiple regression analysis on the basis of the correct answer rate, the industry, and the position to obtain the correlation coefficient. Also, the degree of importance can be constantly updated.

  In the question master 112, in the case of the user's own job position, for example, “general job”, a plurality of question sets stored for each learning category have a plurality of questions each having the same degree of difficulty. Also, in the problem master 112, every time the position rises as a "manager", the problem with a high degree of difficulty of the problem is also stored as a set of problems for a plurality of learning categories for each position, and those problems are stored for each position Problems with multiple learning categories are linked by industry, job type and job position.

  The problem transmitting unit 103 transmits the problem set created by the problem creating unit 102 to the user terminal 600 via the network n. For example, in FIG. 7, an example of the learning category, that is, a problem 601 related to marketing is displayed on the screen of the user terminal 600.

  FIG. 7 displayed on the screen of the user terminal 600 can display a progress bar 603 indicating the current progress status, for example, when the problems relating to marketing 601 and 602 are presented. In addition, the user can know the remaining answer time and the remaining question number by means of the response time remaining time display unit 604 and the remaining question number display unit 605. In the present embodiment, when the answer concerning marketing is finished, the questions concerning sales strategy / tactics, IT literacy, economic news, business strategy, communication, thinking skills, customer understanding are sequentially answered. This order is optional.

  When all the answers have been completed, the user transmits these answers from the transmitting unit (not shown) in the user terminal 600 to the server 10 via the network n. However, it is also possible to reply for each of the above-mentioned learning categories, and to send the reply to the server 10 via the network n from the not-shown transmitter of the user terminal 600 one by one.

  The answer reception unit 104 in the server 10 receives the answer transmitted from the transmission unit (not shown) in the user terminal 600.

  The test result generation unit 105 scores the response received by the response receiving unit 104. Specifically, matching points and differences with the model answers stored in the question master 112 are found and scored. The result of the scoring is stored in a test result DB 116 described later.

  The scoring method to be scored by the test result creation unit 105 can be scored by, for example, so-called IRT (Item Response Theory, Item Response Theory, or Item Response Theory). As a result, even when a plurality of users respond with the same degree of difficulty and different problem sets, the results of the tests of the plurality of users can be relatively compared. Furthermore, even when a plurality of users respond with different degrees of difficulty and different problem sets, the test results of the plurality of users can be compared with each other. Therefore, even if a large number of users respond with different degrees of difficulty and different questions, it is possible to objectively grasp the position of the users in the whole. In addition, even when a large number of users have different degrees of difficulty and respond to different problems, it is possible to objectively grasp the overall position of the user. Therefore, in this case, users having different job positions can be compared with each other. For example, it is possible to compare the score earned by the user at the manager position with the score earned by the user at the general job.

  Thus, as a result of scoring, the user's score can be further represented by a deviation value. Also, by entering the date of birth in the date of birth column 506 in the profile 200, the ranking by age can also be displayed.

  The score of the user, the overall rank of the entire examinee, the rank for each job type in the printing business, and the rank in the case of the job title or general job are stored in the test result DB 116. In addition, the test result is generated by the test result generation unit 105 as described above, and the test result is transmitted by the test result transmission unit 105 a to the user terminal 600 again via the network n. In addition, the correct answer rate is calculated for the industry and job type for the entire user who took the exam, and the correlation coefficient between the learning category including the problem and the industry job type is calculated. If the absolute value of the correlation coefficient is close to 0, the problem in the learning category is not closely related to the industry, so the problem master 112 adjusts the problem by deleting it, for example, and updates its contents. be able to. It can also be updated to reduce the importance value mentioned above.

  Also, the test result generation unit 105 calculates the correct answer rate of the problem for each learning category in a plurality of users. If the correct answer rate is high, for example, 95% or more, or low, for example, 5% or less, the problem for each learning category is deleted from the problem master 112. The correct answer rate can be set for each learning category problem. Also, the correct answer rate is calculated, and is reflected on the question master 112. That is, when the correct answer rate is low in a general job, the content of the test result DB 116 can be updated as a question having a high degree of difficulty, for example, to be given to the user of the manager position. On the contrary, when the correct answer rate is high in the manager's job, the content of the test result DB 116 can be updated as a problem with a low degree of difficulty, for example, to a user of a general job.

  The display of the test result transmitted to the user terminal 600 is, for example, when the user selects the overall result 800a, the overall result is displayed according to FIG. The total score, the overall rank, and the deviation value of the overall test result column 801 on the screen of the user terminal 600 can be displayed. In addition, the ranking in the industry and the deviation value in the industry can be displayed in the test result column 802 in the same industry. Further, in the same age test result column 803, the same age order and the same age deviation value can be displayed. Further, the same job position ranking and the same job position deviation value can be displayed in the same job type test result column 804. Further, in the same age test result column 805, the same position within the same job type and the same job within type difference value can be displayed. Specifically, the total score of the overall test result column 801 can be displayed as 72 points with 100 full marks, the overall rank as 3000 out of 10000, and the deviation value as 55. Further, in the test result column 802 in the same industry, the ranking in the industry is displayed as 1000 out of 2,000, and the in- industry deviation value is displayed as 50. In the same age test result column 803, the same age ranking is displayed as 1000 out of 2000 and the same age deviation value as 50. Further, in the same type of in-class test result column 804, the level in the same type of class is displayed as 1000 out of 2,000, and the in-type type deviation value is set to 50.

  At the same time, the test result creation unit 105 is able to obtain points earned by a plurality of other users for each learning category of sales strategy / tactics, customer understanding, marketing, accounting / finance, communication, legal / compliance, IT literacy, It contrasts with the number of the industry and job type to which the user belongs, the job position, ie, the average of the test results of a plurality of other users in the printing industry, sales positions, and general positions, stored in advance in the test result DB 116. The test result transmission unit 105 a transmits the result to the user terminal 600 via the network n.

  The display of the test result transmitted to the user terminal 600 via the network n by the test result transmitting unit 105a displays, for example, the attribute-classified result displayed in FIG. 9 when the user selects the attribute-classified result 800b. . That is, accounting / finance score column 901, IT literacy score column 902, legal / compliance score column 903, communication score column 904, management strategy score column 905, marketing score column 906, customer understanding score column 907 For each learning category in the sales strategy score column 908, the score obtained by the user, and the industry to which the user belongs, and the average score of a plurality of other users who are the same as the job type and job position, and job type and job position. Compare with.

  For example, the display of the results by learning category transmitted to the user terminal 600 is displayed by FIG. 9 as described above. For the problem of learning category related to accounting / finance, the average of point display portions 901a acquired by a plurality of other users of the same job position, ie, general job is 50 points, while the score display portion 901b acquired by the user is Assume that the score is 48 points. Further, for the problem of the learning category related to IT literacy, the score display portion 902 b acquired by the user is the average while the score display portion 902 a acquired by a plurality of other users of the same job position, ie, general job is 47 points. The score of is assumed to be 55 points. In addition, for the problem of the learning category regarding legal and compliance, the score display unit acquired by the user while the average of the score display unit 903a acquired by a plurality of other users of the same job position, that is, general job is 45 points. It is assumed that the score of 903b is 59 points. In addition, as for the problem of the learning category regarding communication, while the average of the score display portions 904 a acquired by a plurality of other users of the same job position, that is, general job is 44 points, the score display portion 904 b acquired by the user Assume that the score is 57 points. In addition, the score display unit 905b acquired by the user while the average of the score display units 905a acquired by a plurality of other users of the same job position, that is, general job is 44 points for the problem of the learning category related to the business strategy. The score of is assumed to be 57 points. In addition, with respect to the problem of the learning category regarding marketing, the score display portion 906a obtained by a plurality of other users of the same job position, ie, general job, has an average of 51 points, while the score display portion 906b acquired by the user Assume that the score is 52 points. In addition, for the problem of the learning category related to customer understanding, the score display portion 907b acquired by the user while the average of the score display portions 907a acquired by a plurality of other users of the same job position, that is, general job is 44 points. The score of is assumed to be 57 points. In addition, for the problem of the learning category related to the sales strategy, the score display unit 908b acquired by the user is 55 points while the average of the score display units 908a acquired by a plurality of other users of the same job position, that is, general job is 55 points. The score of is assumed to be 43 points.

  In this way, for each learning category, the score obtained by the user and the average score obtained by other users of the same job position, that is, general job, can be compared to each other so that the deviation value can be displayed. Can identify the user's weaknesses and strengths. In this manner, it is possible for the user to grasp the weaknesses and strengths required for each learning category required for each industry, job type, and job position. Thus, it is possible to find out the learning category that the user should learn.

  In addition, the test result creation unit 105 sets the score of the user and the test result DB 116 in advance for each learning category of accounting / finance, IT literacy, legal / compliance, communication, business strategy, marketing, customer understanding, sales strategy / tactics. Accumulated in the future target industry and job type, the position (possibly each may be a vision), that is, the printing industry, sales positions, and test results of a plurality of other users who are managerial positions Contrast with the numerical average of. The test result transmission unit 105 a transmits the result to the user terminal 600 via the network n.

  The display of the test result transmitted to the user terminal 600 via the network n by the test result transmitting unit 105a is, for example, as shown in FIG. 10 when the user selects the vision comparison 800c which is the desired industry, job type and position. According to the displayed attributes, that is, the contrast between the printing industry, sales, general jobs, and the vision industry, vision sales, and vision manager is displayed. That is, accounting and finance score column 931, IT literacy score column 932, legal and compliance score column 933, communication score column 934, business strategy score column 935, marketing score column 936, customer understanding score column 937 For each learning category in the sales strategy column 938, the score earned by the user and the industry, job type, job position that the user desires in the future, the vision industry, and several other job jobs and job positions. Compare with the user's average score.

  For example, the display of the results by learning category transmitted to the user terminal 600 is displayed by FIG. For the problem of learning category related to accounting and finance, the user scored while the average of the score display area 931a acquired by a plurality of other users of the managerial staff who is the position desired by the user in the future is 55 points It is assumed that the score of the score display portion 931b is 48 points. In addition, with regard to the problem of the learning category regarding IT literacy, while the average of the score display portion 932a acquired by a plurality of other users of the managerial staff who is the position desired by the user in the future is 45 points, It is assumed that the score of the score display portion 932b is 55 points. In addition, for the problem of the learning category regarding legal and compliance, the average score of points display portion 933a acquired by a plurality of other users of the managerial staff who is the position desired by the user in the future is 45 points, It is assumed that the number of points acquired in the point display portion 933 b is 57 points. In addition, for the problem of the learning category regarding communication, while the average of the score display portions 934a acquired by a plurality of other users of the managerial staff who are positions desired by the user in the future is 48 points, the user has acquired It is assumed that the score of the score display portion 934 b is 52 points. In addition, the score display 935b acquired by the user while the average of the score display 935a acquired by a plurality of other users of the same job position, that is, general job is 50 points for the problem of the learning category related to the business strategy. The score of is assumed to be 55 points. In addition, with regard to the problem of the learning category related to marketing, the user acquired the score while the average of the score display portion 936a acquired by a plurality of other users of the managerial staff who are positions desired by the user in the future is 51 points. It is assumed that the score of the score display portion 936 b is 52 points. In addition, with respect to the problem of the learning category regarding customer understanding, the average score display portion 937a obtained by a plurality of other users of the managerial staff who is the position desired by the user in the future is 51 points, the user gets The score of the score display portion 937b is 53 points. In addition, with regard to the problem of the learning category regarding the sales strategy, while the average of the score display portions 938a acquired by a plurality of other users of the managerial staff who is the post desired by the user is 55 points, the user is It is assumed that the score of the score display portion 938b is 41 points.

  The user's score displayed in this way can be compared with the average score obtained by a plurality of other users of the manager's job, so that the user's weakness in reaching the manager's job as a target in the future And we can clarify our strengths. In this manner, for each industry, job type, and job position, it is possible for the user to grasp the weaknesses and strengths for each learning category required in the future by the user. Therefore, it is possible to find a learning category to be learned by the user in order to obtain a desired position in the future. Therefore, it becomes clear that if the user solves the problem of which learning category, his / her business knowledge will be improved.

  At the same time, the learning plan preparation unit 109 prepares a learning plan for filling the difference. Specifically, for example, assuming that the deviation value of the same job position, that is, the average of a plurality of other users of general jobs is 50, the teaching material determination unit 106 determines from the deviation value and the emphasis degree for each learning category acquired by the user. The teaching material stored in the teaching material master 113, that is, for example, image data or text data for e-learning, text data of a book name or the contents of the book, and seminar data, basic e-learning data, books and seminars Choose A large number of books, e-learning data, and seminar data are stored in the teaching material master 113, and the contents thereof are linked and stored for each deviation value of a test acquired by the user.

  Similarly, the learning plan preparation unit 109 prepares a learning plan for filling the difference between the user and the desired job type in the future. Specifically, for example, assuming that the deviation value of the average of a plurality of other users of the post desired by the user, ie, the manager position, is 50, the teaching material is determined from the deviation value and the degree of emphasis for each learning category acquired by the user. The unit 106 uses basic teaching materials stored in the teaching material master 113, that is, e-learning, for example, image data, text data, book names, text data of book titles and contents of the books, and basic e-learning data And select books and seminars. A large number of books, e-learning data, and seminar data are stored in the teaching material master 113, and the contents thereof are linked and stored for each deviation value of a test acquired by the user.

  Specifically, the learning plan creation unit 109 selects a learning category to be learned from the learning category emphasis degree and the deviation value acquired by the user. For example, when the user desires a learning plan for reaching the deviation value 50 which is an average point of a plurality of other users who are general workers, the learning plan creating unit 109 determines the importance degree of the user The difference between the same industry, job type, and the average score of other users in the job position, for example, a deviation value is calculated, and a learning category is selected from the deviation value and the degree of emphasis of the learning category. In the case of the present embodiment, the deviation value obtained by the user for each learning category and the degree of importance thereof are respectively 0.8 deviation degree of importance of accounting / finance and 0.8 degree of importance of IT literacy. Deviation 55, importance of legal and compliance 1.2 deviation 58, importance of communication 1.2 deviation 55, business strategy. The degree of emphasis on tactics is 0.9, the degree of emphasis on marketing is 1.4, the degree of emphasis on customers is 52, the degree of emphasis on customer understanding is 1.3, the degree of deviation 55, and the degree of emphasis on sales strategies and tactics is 1.5 45. Thus, the learning plan creation unit 109 selects a learning category with a high degree of emphasis and a low obtained deviation value (see FIG. 11a). At that time, when the user sets the deviation value 50 as a target, for example, a learning category with the deviation value 50 or less is selected, and when the degree of importance is relatively high, the teaching material levels 1, 2 and It is defined as 3 (see FIG. 11a). Further, even if the acquired deviation value is 48 or more, the teaching material level 1 is defined as described later when the degree of emphasis is relatively low (see FIG. 11a). In addition, since it can score by what is called IRT (Item Response Theory, item response theory, or item response theory) as above-mentioned, when a plurality of users answer about a different set of difficulty with different degrees of difficulty Even then, the results of the tests between the multiple users can be relatively compared.

  Similarly, for example, when the user desires a learning plan for reaching the deviation value 50 which is an average point of a plurality of other users of the managerial job desired in the future, the learning plan creating unit 109 The learning category is selected based on the difference between the user's desired future industry, job type, and the average score of the other users of the job position, for example, the deviation value and the degree of importance. In the case of the present embodiment, the degree of importance of the accounting / financial importance is 0.8, the degree of importance of the IT literacy is 0.8, and the degree of importance of that is the deviation value obtained by the user for each learning category. Deviation value 52, importance degree of legal / compliance 1.2 deviation value 55, importance degree of communication 1.2 deviation value 53, business strategy. The degree of emphasis on tactics is 0.9, the degree of emphasis on marketing 43 is 1.4, the degree of emphasis on customer understanding is 1.3, the degree of emphasis on customer understanding 53, and the degree of emphasis on sales strategies and tactics is 1.5 deviation 43. Thus, the learning plan creation unit 109 selects a learning category with a high degree of emphasis and a low obtained deviation value (see FIG. 11 b). At that time, when the user sets the deviation value 50 as a target, for example, the learning category with the deviation value 50 or less is selected, and the importance degree is compared even if the deviation value acquired by the user is 45 or less. If the level is high, the teaching material levels 1, 2 and 3 are defined as described later (see FIG. 11b). Further, even if the acquired deviation value is 48 or more, the teaching material level 1 is defined as described later when the degree of emphasis is relatively low (see FIG. 11 b). In addition, since it can score by what is called IRT (Item Response Theory, or item response theory) as mentioned above, when a large number of users respond to different problems with different degrees of difficulty Even in this case, the user's overall position can be objectively grasped. Therefore, in this case, users having different job positions can be compared with each other. For example, it is possible to compare the score earned by the user at the manager position with the score earned by the user at the general job. The significance of levels 1, 2 and 3 will be described later.

  As described above, when the learning plan creation unit 109 selects a learning category having a high degree of importance and a low acquired deviation value, the teaching material determination unit 106 links the teaching material master 113 for each teaching material level as described above. The teaching material suitable for the user is selected for each learning category. This is the case, for example, when the user desires a learning plan which is a course of one basis in order to reach the deviation value 50 which is the average point of a plurality of other users who are general occupations, and the user desires in the future In order to reach the deviation value 50 which is the average point of a plurality of other users of the managerial job, it is similar to the case where a learning plan which is a course of one foundation is desired.

  More specifically, for example, when the user desires a learning plan which is a course of one basis for reaching the deviation value 50 which is the average point of other general users, the deviation value Is a learning category in which a deviation value of 50 or less is obtained, and a learning category with a relatively high degree of emphasis is selected. However, in this case, since the learning categories with a deviation value of 50 or less are accounting / finance and sales strategies / tactics, they correspond (see FIG. 11a). In this case, since the emphasis on accounting and finance is relatively low at 0.8, it is linked to a problem that can be solved using general knowledge at teaching material level 1. That is, in the job category of sales, the degree of emphasis on accounting and finance is relatively low at 0.8, so it is sufficient to suppress general knowledge (level 1) on accounting and finance. On the other hand, with regard to sales strategies and tactics, the degree of emphasis is set relatively high at 1.5. In view of the importance of sales strategy and tactics in the type of sales, this is not only a problem solved using general knowledge (level 1) about sales strategies and tactics, but also specialized knowledge (level 2) It is necessary to suppress not only the problem solved using) but also the problem solved using complex knowledge (level 3).

  In addition, when the user desires a learning plan which is a course of one basis for reaching the deviation value 50 which is an average point of a plurality of other users of the managerial job desired in the future, the deviation value is 50 or less Select a learning category that has acquired a value and that has a relatively high degree of emphasis. However, in this case as well, since the learning categories having a deviation value of 50 or less are accounting / finance and sales strategies / tactics, they correspond (see FIG. 11 b). Similarly, since the emphasis on accounting and finance is relatively low at 0.8, it is linked to a problem that can be solved using general knowledge at teaching material level 1. That is, in the job category of sales, the degree of emphasis on accounting and finance is relatively low at 0.8, so it is sufficient to suppress general knowledge (level 1) on accounting and finance. On the other hand, with regard to sales strategies and tactics, the degree of emphasis is set relatively high at 1.5. In view of the importance of sales strategy and tactics in the type of sales, this is not only a problem solved using general knowledge (level 1) about sales strategies and tactics, but also specialized knowledge (level 2) It is necessary to suppress not only the problem solved using) but also the problem solved using complex knowledge (level 3).

  Thus, in the present embodiment, one of the basic, two advanced, and three trial learning courses can be selected. The basic course is as described above, but if it is the advanced course, it can be set to aim at 60 as the deviation value. Also, if it is a trial 3 course, select a learning category that needs to be kept to a minimum. In the case of the present embodiment, the assumed learning time is short, the teaching material level matches the user, and the book “the first sales tactics” having a relatively high evaluation, the teaching material judgment unit 106 Select from 113.

  Thus, for each learning course, the teaching material determination unit 106 selects the teaching material suitable for the user for each learning category associated with the teaching material level and evaluation as described above from the teaching material master 113 as described above .

  The teaching material master 113 stores, for example, a database 1201 on books, a database 1202 on seminars, and a database 1203 on e-learning. For example, in the case where the learning category is sales strategy / tactic, in FIG. 12, the teaching material master 113 is linked as a database 1201 for books, for each book name, amount, estimated learning time, teaching material level and evaluation. The book name “business textbook” is “1500 yen”, the estimated learning time is “5 hours”, the teaching material level is “2”, the evaluation is “10”, and the book The name "Basics of sales" is "500" yen, the assumed learning time is "6 hours", the teaching material level is "1", and the evaluation is "9". As described above, each book name and its amount, estimated learning time, teaching material level, and evaluation are linked. In the present embodiment, the teaching material determination unit 106 selects the book name “business textbook for business” stored in the teaching material master 113 (see FIG. 12).

  In addition, as a seminar, the seminar name "sales role play" is the amount "1000" yen, the assumed learning time is "3 hours", the teaching material level is "2", and the evaluation is "10", In addition, the seminar name “Law seminar you want the sales to know” is the amount “0” yen, the estimated learning time is “1 hour”, the teaching material level is “1”, and the evaluation is “9”. ing. In this way, each seminar name and its amount, estimated learning time, teaching material level and evaluation are linked. In the present embodiment, the teaching material determination unit 106 selects the seminar name “sales role play” stored in the teaching material master 113 (see FIG. 12). As described later, in FIGS. 13 and 14, the display on the user terminal 600 for the seminar name “sales role play” is omitted.

  In addition, as a learning drill (e-learning), the course name "sales strategy / tactics, part 1" is associated with the assumed learning time of "30 minutes", the teaching material level of "1", and the evaluation of "10". Also, as a learning drill (e-learning), the course name "sales strategy / tactics, part 2" is assumed to be "30 minutes" as an assumed learning time, teaching material level is "2", and evaluation is "9" ing. In addition, the course name "sales strategy / tactics, part 3" is associated with the estimated learning time of "30 minutes", the teaching material level of "3", and the evaluation of "8". Thus, as each learning drill (e-learning), the course name, the assumed learning time, the teaching material level, and the evaluation are respectively linked. In addition, in the case of a present Example, although it does not charge in a learning drill (e-learning), it is preferable also as chargeable. In the present embodiment, the teaching material determination unit 106 is configured to use the course name "sales strategy / tactics, part 1" stored in the teaching material master 113, the course name "sales strategy / tactics, part 2", and the course name "sales Select strategy / tactic, part 3 "(see Fig. 12). FIG. 12 is a database on “sales strategy / tactics” as a learning category, but for each learning category, for example, data on a plurality of books, data on a plurality of seminars, and a plurality of e in the teaching material master 113. Needless to say, data related to learning is stored.

  Thus, the learning plan creation unit 109 selects a learning category to be learned by the user. In addition, the teaching material determination unit 106 selects, from the teaching material master 113, a teaching material to be learned by the user as the teaching material belonging to the selected learning category. In order to display the selected teaching material, the learning plan transmission unit 109 a transmits the user terminal 600 via the network n.

  The user terminal 600 displays the learning plan to be learned by the user transmitted by the learning plan transmission unit 109a. For example, according to FIG. 13, in one basic course 1301, the estimated learning time is 12 hours, the total amount of books is 1,500 yen, the total number of contents is five, and the number of learning categories is one. "Tactic" is displayed. When the learning category is "sales strategy / tactics", the score obtained by the user is displayed as 35 points lower than the average, and an introduction is displayed to explain the outline of the learning category, and the learning drill (e-learning ) "Part 1, Part 2, Part 3" is displayed. In addition, a review test will be displayed as "Book textbook for ¥ 1,500."

  Further, for example, according to FIG. 13, in the 2 upper-level course 1302, the estimated learning time is 15 hours, the total amount of books is 2500 yen, the total number of contents is 6, and the number of learning categories is 1; "Strategy / Tactic" is displayed. When the learning category is "sales strategy / tactics", the score obtained by the user is displayed as 35 points lower than the average, and an introduction is displayed to explain the outline of the learning category, and the learning drill (e-learning ) "Part 1, Part 2, Part 3" is displayed. In addition, a review test and "Book sales strategy total 2500 yen" will be displayed.

  Further, for example, according to FIG. 13, in the 3 trial course 1303, the estimated learning time is 2.5 hours, the total amount of books is 1,500 yen, the total number of contents is 3, and the number of learning categories is 1. , "Sales strategy · tactics" is displayed. When the learning category is "sales strategy / tactics", the score obtained by the user is displayed as 35 points lower than the average, and an introduction is displayed to explain the outline of the learning category, and the learning drill (e-learning ) "Part 1, Part 2, Part 3" is displayed. In addition, a review test will be displayed as "Book textbook for ¥ 1,500."

  It is needless to say that, regarding the learning category to be learned by the user, there are cases where learning categories other than "sales strategy / tactics" may be displayed depending on the score acquired by the user. Each learning category other than the “business strategy / tactics” displayed in FIG. 11 may be displayed depending on the user's pros and cons.

  Also, in the case where the user needs to reach the deviation value 50, which is the average point of a plurality of other users of the desired managerial staff in the future, the user transmitted by the learning plan transmission unit 109a to the user terminal 600 Display the learning plan to be learned. For example, according to FIG. 14, in one basic course 1401, the estimated learning time is 12 hours, the total amount of books is 1,500 yen, the total number of contents is five, and the number of learning categories is one. "Tactic" is displayed. When the learning category is "sales strategy / tactics", the score obtained by the user is displayed as 35 points lower than the average, and an introduction is displayed to explain the outline of the learning category, and the learning drill (e-learning ) "Part 1, Part 2" is displayed. In addition, a review test will be displayed as "Book textbook for ¥ 1,500."

  Also, for example, according to FIG. 14, in the 2 upper-level course 1402, the estimated learning time is 15 hours, the total amount of books is 2500 yen, the total number of contents is 6, and the number of learning categories is 1, "Strategy / Tactic" is displayed. When the learning category is "sales strategy / tactics", the score obtained by the user is displayed as 35 points lower than the average, and an introduction is displayed to explain the outline of the learning category, and the learning drill (e-learning ) "Part 1, Part 2, Part 3" is displayed. In addition, a review test and "Book sales strategy total 2500 yen" will be displayed.

  Further, for example, according to FIG. 14, in the 3 trial course 1403, the estimated learning time is 2.5 hours, the total amount of books is 1,500 yen, the total number of contents is 3, and the number of learning categories is 1. , "Sales strategy · tactics" is displayed. When the learning category is "sales strategy / tactics", the score obtained by the user is displayed as 35 points lower than the average, and an introduction is displayed to explain the outline of the learning category, and the learning drill (e-learning ) "Part 1" is displayed. In addition, a review test will be displayed as "Book textbook for ¥ 1,500."

  In the case where the user reaches the deviation value 50, which is the average point of a plurality of other users of the desired managerial staff in the future, depending on the score acquired by the user, the learning category to be learned may It goes without saying that there are cases in which learning categories other than tactics are displayed. Each learning category other than the “business strategy / tactics” displayed in FIG. 11 may be displayed depending on the user's pros and cons. As described above, according to the present embodiment, it is possible to provide a learning support system capable of finding out the learning category to be learned by the user.

Also, for example, when the user selects one of the 1 basic, 2 advanced and 3 trial courses displayed on the user terminal 600, the selected learning plan basic course, vision: printing industry, Sales manager General manager, 12 hours assumed learning time, total content number 5 (20 learning drills) Learning category 1, 35 points lower than average sales tactics, introduction, assumed learning time 5 minutes, e-learning part 1, assumed learning time 30 minutes , E-Learning part 2, assumed learning time 30 minutes are displayed. In addition, it is displayed as an estimated reading completion time of 5 hours in which the video of the book of the sales strategy is displayed for the first time (reference numeral 1501). The user selects a desired teaching material out of the teaching material names and starts learning. In this case, if it is a book, it can be linked to the mail order site of the book, and the book can be purchased. Further, in the case of e-learning, it is possible to download the learning content of the e-learning so that the user terminal 600 can actually learn as it is. The seminar is not displayed. However, if it is a seminar, it is possible to link to the site for applying to the seminar and to apply for the seminar. Also, the displayed book title and the image of the book can be displayed as an icon. In this case, the icon on the display screen is preferably linked to the site selling the book, and when the user clicks or touches the icon, the user can jump to the site selling the book. The same applies to e-learning and seminars. It is preferable that e-learning and seminars can be started when the user clicks or touches the icon on the display screen (see FIG. 15).

  For example, in one basic course, the learning category can be linked to the sales site of the "sales textbook for sales" in the case of sales strategy / tactics, and the book can be purchased. The seminar or e-learning is also linked to those sites, and if it is a seminar, it can jump to a site for applying so-called seminars, and if it is e-learning, the course can be downloaded.

  In addition, the user can set a so-called goal to be finally achieved in learning. That is, in the user terminal 600, at reference numeral 1502, the success criterion is selected from the option of learning all contents, the option of acquiring a score above a certain level in the test, and the option of acquiring 100 points in the test. An indication can be made. And an option to obtain a certain score or more.

  Thereafter, after learning the teaching material transmitted by the learning plan transmission unit 109a indicated by the user, the user terminal 600 transmits, to the server 10, an evaluation when the user is presented in FIG. For example, the evaluation of books presented in each learning category and textbooks of sales. For questions such as (1) easy-to-understand content, (2) knowledge, and (3) want to recommend to learners in the same area ?, for example, the evaluation is made in five stages from “does not think” to “very thinks”. Do. This is linked to the industry to which the user belongs, the job type, and the job position, and is transmitted to the server 10 from a transmitting unit (not shown) of the user terminal 600 (see FIG. 16).

  The evaluation of the book presented for each learning category, which is sent from a transmitting unit (not shown) of the user terminal 600 and received by the learning result receiving unit 110, the industry to which the user belongs, the job type, and the job position, It registers in teaching material evaluation DB118. In addition, when the evaluation is received, the content is accumulated in the teaching material evaluation DB 118, and the evaluation of the teaching material is low, the teaching material master 113 of Update to lower the rating in the content.

  Next, the process flow for asking the question of the learning support device 10 in the present embodiment, that is, the questioning flow will be described with reference to the drawings. FIG. 17 shows the problem of the learning category suitable for improving the knowledge of the user from the industry and the job type and the position described in the profile 200 of the user, which the user has at present by answering it Explain the process flow to clarify the knowledge of the learning category.

  Regarding the questioning flow, when the user accesses the server 10 from the user terminal 600 to start the test, as described above, the profile transmission step (s301) has predetermined items described later stored in the user master 111. Profile 200 is transmitted to user terminal 600 by profile transmission unit 100.

  In the profile 200 transmitted by this profile transmission step (s301), the user is given the fields of predetermined items, ie, name column 501, industry column 502, job type column 503, job title column 504, annual income column 505, date of birth column 506, The vision industry column 512, the vision job type column 513, the vision position column 514, and the vision annual income column 515 are answered. As described above, vision is what the user wants in the future, the industry the user wants in the future is described in the vision industry column 512, and the user's desired job type is the vision job type. It is described in the column 513, the position desired by the user in the future is described in the position position 514, and the desired annual income of the user is described in the annual income column.

  Next, in the profile server transmission step (s 302), the user transmits the profile 200 in which the predetermined items are described from the user terminal 600 to the server 10.

  In the profile receiving step (s303), the user information receiving unit 101 receives the profile 200 describing the predetermined items transmitted from the user terminal 600 to the server 10.

  The learning category selection step (s304) includes the industry described in the profile 200 describing the predetermined items transmitted by the profile server transmission step (s302) and received by the user information reception unit 101 in the profile reception step (s303). Based on the job type, the problem creation unit 102 selects a learning category to be presented from the problem master 112. For example, as described above, the user type of work is “industry” and its “job type” in the profile 200 respectively “print business” and “sales”. Of the learning categories relating to “sales,” the emphasis on marketing is 1, the emphasis on sales strategy and tactics is 1.5, the emphasis on IT literacy is 0.8, the emphasis on economic news is 1.3, the business strategy The degree of emphasis is 0.9, the degree of emphasis on communication is 1.2, the degree of emphasis on thinking skills is 1.2, the degree of emphasis on customer understanding is 1.4, and eight learning categories are listed in descending order of numerical value. select. However, it is not limited to eight learning categories.

  Next, in the problem level determination step (s305), the above-mentioned learning category selection step (s304) determines the difficulty level according to the position in the learning category for which the question creating unit 102 issues the question.

  Specifically, for example, in the present embodiment, since the position of the user is a general position, in this case, the above learning categories, ie, marketing, sales strategy / tactics, IT literacy, economic news, business strategy, communication, thinking skills Issues with general positions in customer understanding. Therefore, for example, there may be a problem that the degree of difficulty tends to be easier as compared to the case where the position is a manager position.

  At the same time, in the problem level determination step (s 305), the problem creation unit 102 selects the problem specific to the industry from the problem master 112. For example, since the industry selected by the user is the printing industry, problems specific to the printing industry are presented. For example, a problem with so-called DTP (Desktop publishing) or a problem with offset printing is selected. It goes without saying that these problems differ by industry.

  The test set creation step (s306) combines the problem for each learning category determined by the above problem level determination step (s305) with the industry specific problem to create a test set consisting of a plurality of problems.

  Next, the problem transmitting step (s307) comprises, from the problem transmitting unit 103, a problem set consisting of the problems for each of the plurality of learning categories created in the test set creating step (s306) and the industry-specific problems, Transmit to user terminal 600.

  In the answer transmitting step (s308), the user answers the questions for each of the plurality of learning categories transmitted by the question transmitting unit 103 and the problems specific to the industry, and the answer is sent by the transmitting unit (not shown) in the user terminal 600. , To the server 10.

  In the answer scoring step (s309), the answer receiving unit 104 of the server 10 receives the answer of the user, and the test result creating unit 105 marks the received answer. Specifically, the test result creation unit 105 scores by comparing the response received by the response receiving unit 104 with the model response stored in the problem master 112, and the score of the user's job position, Summarize the overall ranking of the candidates and the deviation value. In the correct answer rate scoring step (s310), the test result creation unit 105 calculates the correct answer rate of the problem for each learning category among a plurality of users, and tests the correct answer rate of the problem for each learning category by industry and job type. It stores in result DB116. As described above, the score of the user, the overall ranking of the candidates, the ranking by sales in the printing industry, ie, industry and occupation, and the ranking in the case of occupation or general occupation, the ranking by age are stored in the test result DB 116. If the correct answer rate is high, for example, 95% or more, or low, such as 5% or less, the problem master in which the correct answer rate is high or low is determined as the problem category has low relevance to the problem. Remove from 112. Although the correct answer rate can be set for each problem of the learning category, the relevance is calculated from the so-called correlation coefficient for each learning category from the correct answer rate and reflected in the problem master 112.

  Next, in FIG. 18, in the test result creating step (s 321), the test result creating unit 105 compares the response received by the response receiving unit 104 with the model answer stored in the question master 112. The score is scored according to the score of the user, the overall rank of the entire examinee, and the deviation value is totaled. As described above, the scoring method to be scored by the test result creation unit 105 is scored by so-called IRT (Item Response Theory, Item Response Theory, or Item Response Theory), so multiple users have the same degree of difficulty, And, even when different question sets and a plurality of users have different degrees of difficulty and answers about different question sets, it is possible to compare the results of the tests among the plurality of users.

  Further, the current test result creating step (s 322) compares the score acquired by the user who scored by the test result creating unit 105 with the average score acquired by a plurality of other users stored in the problem master 112. By doing this, for example, aggregate deviation values and rankings by industry, job category, and job position. That is, in the present embodiment, the deviation value and the ranking of the user in the case of sales in the printing industry and in the case of a general job are collected.

Further, in the future time point test result creation step (s323), the test result creation unit 105 obtains a score obtained by the scored user, and a plurality of users of the positions targeted by the user as future goals stored in the problem master 112 By comparing the points obtained with the above, the deviation value and its rank relative to the future target position are summed up. That is, in this embodiment, in the case of sales in the printing industry, the future position (vision) as the position of the manager is the manager position, and the user's deviation value and rank are compared with the average of the points earned by the manager position. .

  In the test result creation step (s321), the result of the counting, and in the current test result creation step (s322), a plurality of other users who have the same industry, job title, and job position as the user earned for each learning category. The result of comparing with the average score and the score obtained for each learning category of the user in the future time point test result creation process (s323) and the average of a plurality of other users of the industry, job type and job position desired by the user in the future The test result transmitting unit 105a can also transmit the result of comparison with the point to the user terminal 600 (see FIGS. 9 and 10). You can also send them at once.

  The learning category determination step (s331) determines the learning category and the teaching material level based on the result obtained by summing up the scores of the user created by the current test result creation step (s322) (see FIG. 19). The learning category determination step (s331) is based on the result of summing up the scores of the user created not only at the current test result creation step (s322) but also at the future time point test result creation step (s323). The teaching material level can be determined.

  In addition, in the learning material determining step (s332), the learning material determination unit 106 selects the learning material stored in the learning material master 113 in order to fill in the difference between the user and a plurality of other users of the same job position, ie, general job. (See Figure 19). Specifically, for example, when a plurality of other users having the same job position, ie, general jobs, are taken as a population, the deviation value for each learning category acquired by the user is below a certain level 50 from the average (the difference is If there is, for example, less than about 10), the learning category is selected as a learning target. Furthermore, the teaching material determination unit 106 selects the teaching material stored in the teaching material master 113 according to the teaching material level according to the degree of importance of the learning category for the user. Specifically, if the degree of importance of the learning category is low, it is considered sufficient to acquire basic knowledge (general knowledge), for example, a low level teaching material (for example, level 1 teaching material), The teaching material determination unit 106 selects from among a plurality of teaching materials stored in the teaching material master 113. In addition, when the importance of the learning category is high, it is required to acquire specialized knowledge (level 2) and complex expertise (level 3) because basic knowledge is not sufficient. For example, the teaching material determination unit 106 selects a teaching material having a relatively high teaching material level (for example, teaching materials not only Level 1 but Level 2 and Level 3) from a plurality of teaching materials stored in the teaching material master 113.

  In addition, the above is the case of the course of 1 foundation, for example, in the course of 2 advanced courses, the teaching material level is aimed at aiming at deviation value 55 when the same job position, ie, a plurality of other users of general job The teaching material determination unit 106 selects a relatively high teaching material (for example, teaching material level 3 teaching material) from the teaching materials stored in the teaching material master 113. Also, in the case of 3 trial courses, for example, when the deviation value for each learning category acquired by the user is opened to a certain extent (if there is a difference) in the above-mentioned 1 basic course, for example, about 10 is opened In the case where the basic knowledge is lacking, the teaching material determination unit 106 can select a teaching material having a low teaching material level (for example, teaching material level 1 teaching material) from the teaching materials stored in the teaching material master 113 (see FIG. 13, see FIG. 18).

  In addition, at the same time, in the learning material determination step (s332), the learning material determination unit 106 stores the learning material stored in the learning material master 113 in order to fill in the difference between the user's desired score and the points acquired by other users in the future. (See FIG. 19). Specifically, for example, when a plurality of other users who are managerial positions who are future positions desired by the user are taken as a population, the deviation value for each learning category acquired by the user is an average of 50 If it is below a certain level (if there is a difference), for example, if it is below 10, the learning category is selected as the learning target. Furthermore, the teaching material determination unit 106 selects the teaching material stored in the teaching material master 113 according to the teaching material level according to the degree of importance of the learning category for the user. Specifically, if the importance of the learning category is low, it is sufficient to acquire basic knowledge (general knowledge), for example, if the teaching material level is low (eg teaching material of level 1) The teaching material determination unit 106 selects from among a plurality of teaching materials stored in the teaching material master 113. In addition, when the importance of the learning category is high, it is required to acquire specialized knowledge (level 2) and complex expertise (level 3) because basic knowledge is not sufficient. For example, the teaching material determination unit 106 selects a teaching material having a relatively high teaching material level (for example, teaching materials not only Level 1 but Level 2 and Level 3) from a plurality of teaching materials stored in the teaching material master 113.

  In addition, the above is the case of the course of 1 foundation, for example, the course of 2 advanced courses makes deviation value 55 a population, when making a plurality of other users in a manager's job who is a position desired by the user in the future The teaching material determination unit 106 selects a teaching material having a relatively high teaching material level (for example, teaching material level 3 teaching material) from the teaching materials stored in the teaching material master 113 so as to aim at. In the case of 3 trial courses, for example, when the deviation value is open to a certain extent for each learning category acquired by the user (in the case where there is a difference) in the above-mentioned 1 basic course, for example, about 10 is opened In the case where the emphasis degree is relatively high, the teaching material determination unit 106 stores the teaching material having a low teaching material level (eg, teaching material level 1 teaching material) in the teaching material master 113 on the assumption that basic knowledge is insufficient. It is possible to select from the teaching materials (see FIGS. 14 and 18).

  The learning plan transmission step (s333) transmits the learning material acquired in the learning material determination step (s332) to the user terminal 600 via the learning plan transmission unit 109a and the like network n (see FIG. 19). For example, in the case of a book, image data for displaying a book having a "business textbook" amount of 1,500 yen is transmitted.

  The learning plan display step (s334) displays on the user terminal 600 a learning plan consisting of the “business textbook” amount of 1500 yen acquired in the learning material determination step (s332) and the estimated learning time of 12 hours (FIG. 14, 19).

  In the learning plan determination step (s335), when the user agrees with the learning plan, the learning plan is finalized. For example, the user selects the one base course 1301 (see FIG. 13), and the transmitter in the character in the user terminal 600 transmits to the server 10 that the one base course 1301 is selected. If the user does not agree with any of the above three courses "1 Basic", "2 Advanced", and "3 Trial", the user redisplays the study plan (see Figs. 13, 14 and 19). . In this case, for example, if the case confirmation / edit button in "1 Basic", "2 Advanced", and "3 Trial" is not pressed for a certain period of time in FIGS. You may not agree with any of the three course study plans of "3 Trials".

  When the learning plan is determined, the learning plan output step (s 336) selects a learning category to be learned by the learning plan creating unit 109, and the teaching material determination unit 106 transmits the teaching material selected from the teaching material master 113 to the user terminal 600 ( See Figure 19).

  The learning plan display step (s 337) displays the teaching material selected by the teaching material determination unit 106 from the teaching material master 113 on the user terminal 600. In the learning plan selection step (s338), the user selects the teaching material displayed on the user terminal 600 (see FIG. 19).

  The teaching material output step (s 339) outputs the teaching material stored in the teaching material master 113 (see FIG. 19). For example, in one basic course, the learning category can be linked to the sales site of the "sales textbook for sales" in the case of sales strategy / tactics, and the book can be purchased. The seminar or e-learning is also linked to those sites, and if it is a seminar, the user jumps to the application site, and if it is e-learning, the course can be downloaded.

  In the teaching material learning step (s340), the user learns the teaching material. When the user's learning is completed, the user registers the evaluation of the book and the test result of the evaluator, the industry to which the user belongs, the job type, and the job position in the teaching material evaluation DB 118 by the teaching material evaluation step (s341). Thereby, in the teaching material evaluation and revision process (s 342), for example, the evaluation in the database 1201 regarding books is determined, and is linked to the book name, the amount, the assumed learning time, and the teaching material level (see FIG. 12). If the evaluation is low, the evaluation in the content of the teaching material master 113 is updated so as not to provide the user who will take the examination next time with the teaching material such as the book. Also, if the evaluation is high, the evaluation is made to raise the evaluation in the contents of the teaching material master 113 so as to actively provide the user who will take the examination next time with the teaching material such as the book.

10 Server 100 Profile Transmission Unit 101 User Information Reception Unit 102 Problem Creation Unit 103 Problem Transmission Unit 104 Answer Reception Unit 105 Test Result Generation Unit 105a Test Result Transmission Unit 106 Teaching Material Determination Unit 109 Learning Plan Generation Unit 109a Learning Plan Transmission Unit 110 Learning Result Receiver 111 User master 112 Problem master 113 Teaching material master 116 Test result DB
117 Learning Plan DB
118 teaching material evaluation DB
200 Profiles 600 Mobile Terminals n Network

Claims (6)

A profile transmission unit for transmitting a profile to the user terminal;
A user information receiving unit for receiving a profile answered by a user who receives learning in the profile transmitted by the profile transmitting unit;
A problem master storing the problems linked to the profile;
And a problem creation unit that selects a problem suitable for the user from the problem master based on the profile of the user received by the user information reception unit. The learning support system according to claim 1, wherein the profile answered by the user has at least an industry, a job type and a job position of a goal desired by the user. 3. The learning support system according to claim 2, wherein the problem creating unit selects, from the problem master, a problem of a learning category which is input to the profile and is linked to an industry, job type and job position of a goal desired by the user. . A problem transmitting unit that transmits the problem selected from the problem master by the problem creating unit to the user;
An answer receiving unit that allows the user to answer the transmitted question by the question sending unit and receives the answer;
Furthermore, the problem master in which a model answer is stored;
A test result creation unit that compares and scores the model answer stored in the question master and the answer received by the answer receiver;
As a result of being scored by the test result creating unit, a learning plan creating unit that determines a learning category which is a weak point of the user;
A teaching material master storing teaching materials to be learned by the user;
The teaching material determination unit according to any one of claims 1 to 3, further comprising: a learning material determination unit that selects a learning category by the learning plan creation unit and selects a learning material suitable for the user from the learning material master for each of the selected learning categories. Description support system. A profile transmitting step of transmitting a profile having a predetermined item stored in the user master to the user terminal by the profile transmitting unit;
A profile receiving step of receiving the profile transmitted by the profile transmitting step and describing the predetermined item;
A learning category selecting step of selecting a learning category to be presented from the question master on the basis of the industry and the job type described in the profile which is the predetermined item received by the profile receiving step; Computer aided learning support program. The computer-readable storage medium according to claim 5, wherein the learning category selecting step causes a computer to sequentially execute a problem level determining step of determining a problem according to a position of the user in the learning category in which the question creating unit issues a question.

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