JP2005190404A - System, method and program for proposing learning course - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To precisely and clearly propose learning courses to learners. <P>SOLUTION: This system 100 comprises: a business database 106 for storing data about the business tags of businesses carried out by members; a course database 107 storing the data on course tags in association with the business tags of the businesses whose learning courses the members are desired to take; a course history database 108 storing a course history including the course tags of the learning courses taken by each member; a search accepting part 110 that implements a process for extracting category information about at least either the businesses or the learning courses by accepting the presentation of desires to search for the learning courses at an input interface; a course specifying part 112 that either implements a process for specifying any of the course tags associated with any of the business tags, by searching the course database based on business category information for the business tag including this category information, or implements a process for specifying any of the course tags including the category information of any of the learning courses in the course database according to this category information; and an output process part 115 that outputs information about the specified course tag to an output interface. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a learning course proposing system, a learning course proposing method, and a learning course proposing program, and more particularly to a technique that makes it easy for a learner to recognize the suggested contents of a learning course.

  Various methods for evaluating human resources in companies have been proposed. For example, in a human resource information processing system that communicates with a plurality of terminals operated by an employee via a network, the human resource value information input by the employee from the terminal is associated with an upper identifier specified in advance for each employee. The means for accumulating in the first data bank and the human resource value information that has been examined by presenting the human resource value information as the examination subject accumulated in the first data bank to the terminal operated by the supervisor. Is stored in the second data bank, and a plurality of types of human resource value information inputted at any time by employees can be searched in the second data bank. (Refer patent document 1) etc. are proposed.

In addition, by selecting options for each question, the contents selected by the people who make up the sample group are pre-aggregated and stored as reference statistics for a question collection in which human characteristics can be observed across multiple items. A database to be inputted, input means for inputting contents selected by the examiner for each question as a result of presenting the collection of questions to the examinee, contents selected by the examinee, and stored in the database An evaluation means for comparing the reference statistic and obtaining data obtained by quantifying the characteristics of the examinee for each item, and the quantified data on a medium for feeding back the examination result to the examinee or the diagnosis requester. There has also been proposed a human resource evaluation apparatus (see Patent Document 2) characterized by comprising output means for outputting corresponding to each item.
JP 2003-44633 A JP 2001-31579 A

  In the conventional method, a method for accumulating past duties and skills of employees working in an organization has been proposed. However, no method has been proposed for clarifying, for example, learning objectives and learning courses in in-company education from the entire organization or the business history of a specific individual.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a learning course proposal system, a learning course proposal method, and a learning course proposal program that enable an accurate and clear learning course proposal to a learner.

  A learning course proposing system of the present invention that solves the above-mentioned problems is a system that proposes a learning course according to the work of the members of the organization, and stores business tag data including category information of the work performed by the members. A business database that stores information related to the time of business execution, and a course database that stores data of course tags including category information of the learning classes in association with business tags of work that is preferred for the members of the study course And, the attendance history database including the lecture tag of the learning course that the member has taken, the attendance history database that stores the association history in association with the member, and the presentation of the search request for the learning course by the member are accepted at the input interface, A search reception unit that performs a process of extracting category information of at least one of a business or a learning course included in the search request; Based on the business category information extracted by the extraction process, the business database including the category information is searched for in the course database and the course tag associated with the business tag is specified, or the learning course extracted by the extraction process Based on the category information, a course specifying unit that performs a process for specifying a course tag including the category information in the course database, and an output processing unit that outputs information on the course tag specified in the specifying process to an output interface. Prepare.

  Further, the learning course proposal method of the present invention is a method in which an information processing apparatus proposes a learning course according to the work of a member of an organization, and the information processing apparatus performs a category of work performed by the member. Business database that stores business tag data including information in association with business execution time information, and course tag data that includes category information of the learning course, which is preferred for the members who attend the learning course. A course database stored in association with a tag, and a course history database that stores a course history including a course tag of a learning course taken by the member in association with the member. Accepting the desired presentation at the input interface and extracting at least one of the category information of the business or study course included in the search request Processing, and based on the business category information extracted in the extraction process, search for business tags including the category information in the course database, and specify the course tag associated with the business tag, or perform the extraction process Based on the category information of the learning course extracted in step (b), a course tag specifying process including the category information in the course database is performed, and the course tag information specified in the specifying process is output to an output interface. .

  Further, the learning course proposal program of the present invention provides a learning course proposal method according to the work of the member of the organization, the data of the work tag including the category information of the work performed by the member, and the time information of the work execution. A business database stored in association with, a course database that stores the data of the course tag including category information of the learning course, in association with a business tag of a business that is preferred for the member attending the learning course, and the member A program that causes an information processing device including a course history database that stores a course history including a course tag of a taken course to be associated with the member and presents a search request for the course by the member. Accept at the input interface and extract at least one of the category information of the work or study course included in the search request And, based on the business category information extracted in the extraction process, search for business tags including the category information in the course database and perform a course tag identification process associated with the business tag, Based on the category information of the learning course extracted by the extraction process, a step of specifying a course tag including the category information in the course database, and a step of outputting the information of the course tag specified in the specification process to an output interface It is characterized by including these. This program is composed of codes for performing the operations of the respective processes.

  In addition, the problems disclosed by the present application and the solutions thereof will be clarified by the embodiments of the present invention and the drawings.

  According to the present invention, it is possible to propose an accurate and clear learning course to a learner.

  Embodiments of the present invention will be described below in detail with reference to the drawings.

  FIG. 1 is a network configuration diagram including a learning course proposal system 100 according to this embodiment. In the present embodiment, for example, a situation is assumed in which a learning course proposing system according to the present embodiment proposes a learning course directly connected to a business, in other words, easily connected to a business result, to an employee working at a company. However, the application of the present invention is not limited to this embodiment, and can be applied to any situation in which appropriate members are proposed from a plurality of learning courses to members in any organization.

  A learning course proposal system 100 (hereinafter referred to as system 100) in this embodiment includes a control unit 101 that is an arithmetic device, a memory 103 that stores a program 102 executed by the control unit 101, and data exchange with an external device. It has an I / O unit 104 that handles processing, and a storage device 105 that stores various databases. Further, the system 100 can be connected to an external device such as the user terminal 170 through an appropriate network 150.

The system 100 here includes three databases in the storage device 105.
One is a business database 106 that stores business tag data including business category information performed by employees (members) belonging to a company (organization) in association with business performance time information.

  One is a course database 107 that stores course tag data including category information of the learning course in association with a business tag of a work that is preferred for employees who attend the learning course. The course database 107 relates to the association between the learning tag and the business tag of the work that is preferred for the employee to attend the learning course, and the validity of the association recognized by the employee by attending the learning course. This information can be stored in association with the course tag.

  One is a attendance history database 108 that stores a attendance history including a lecture tag of a learning course attended by the employee in association with the employee.

  The system 100 stores data necessary for processing using such various databases, and uses the data when executing the learning course proposal program 102 of the present invention.

  In the following, detailed description will be given for each component constituting the program 102 of the system 100. The program 102 accepts presentation of a search request for a learning course by an employee at the I / O unit 104 (input interface), and performs a process of extracting category information of at least one of a business or a learning course included in the search request. The search reception part 110 to perform is provided.

  Further, based on the business category information extracted in the extraction process, a business tag including the category information is searched in the course database 107 and a course tag associated with the business tag is specified, or the extraction process is performed. Based on the extracted category information of the learning course, the course database 107 includes a course identification unit 111 that performs a course tag identification process including the category information.

  This course specifying unit 111 can collate the course tag specified by the specifying process with the attendance history of the corresponding employee in the attendance history database 108 to eliminate the course tag of the attended learning course. Further, the course database 107 relates to the association between the learning tag and the business tag of the work that is preferred for the employee to attend the learning course, and the validity of the association recognized by the employee by attending the learning course. If the information is stored in association with the course tag, the validity information corresponding to the course tag specified in the specifying process can be extracted from the course database 107 and attached to the course tag information. .

  Further, the program 102 includes a proposed course distribution map generation unit 112 that applies the class tag specified in the specifying process to a matrix or a graph centered on a course or business category, and generates a proposed course distribution map. The proposed course distribution map generation unit 112 changes the display format of the course tag in each business category in the proposed course distribution chart according to the level of the course difficulty set in advance according to the business. And can.

  In addition, the program 102 searches the attendance history database 108 for the lecture tag of the learning course that the employee has taken for the employee who presents the search request, and finds the searched course tag for each category of the course or for the work. A calculation unit 113 is provided that performs processing for calculating the distribution frequency for each category of the course or the business of the class tag, classified by category.

  In addition, the program 102 includes a attendance distribution map generation unit 114 that applies the calculated distribution frequency of the lecture tags to a matrix or a graph centered on a lecture or business category, and generates a attendance distribution chart. The attendance distribution map generation unit 114 compares the distribution frequency of a predetermined course or business category with a predetermined threshold in the attendance distribution map, and performs an emphasis process on an area having a distribution frequency equal to or lower than the predetermined threshold. And can. Furthermore, in the attendance distribution diagram, the display form of the distribution frequency in each course or business category can be changed in stages according to the stage of the distribution frequency.

  The program 102 also includes an output processing unit 115 that outputs information on the course tag specified in the specifying process to the I / O unit 104 (output interface). The output processing unit 115 can output the proposed course distribution map and the attendance distribution map to the I / O unit 104.

  On the other hand, the user terminal 170 is connected via the network 150. The user terminal 170 is a terminal used by the employee, and includes a control unit 171, a memory 173 for storing the client program 102, an I / O unit 174, a display unit 175, and an operation unit 176. The employee browses information from the system 100 displayed on the display unit 175 in the user terminal 170, and returns a response to the system 100 through the operation unit 176 or gives an instruction according to the browsed information. To go. The I / O unit 174 serves as an interface for data exchange with the network 150. Further, the processing procedure in the user terminal 170 is described in the client program 172, and the function as the user terminal 170 is realized by the control unit 171 reading it into the memory 173 and executing it.

  Next, the structure of the databases 106 to 108 in the storage device 105 of the system 100 will be described. FIG. 2 is a diagram showing (a) a category configuration example and (b) a data configuration example in the course database of the present embodiment. The course database 10 according to the present embodiment is a database that stores course tag data including category information of a learning course in association with business tags that are desirable for employees who attend the learning course. Therefore, a tree structure 200 is formed in the database 107 as shown in FIG.

  In this tree structure 200, all learning courses are classified into categories 201 (in the figure: category A to category C) such as “technology”, “sales”, “general affairs”, and “application technology” for each category 201. , “Network technology” and “RAID technology” (in the figure: major categories 1 to 3). Furthermore, course tags 203 such as “Web application application course”, “IPv6 basic course”, and “Fiber channel technical explanation course” are associated with each major classification 202.

  Further, a business category 204, a business category 205, and a business tag 206 are associated with the category 201, the large classification 202, and the course tag 203, respectively. As described above, this data structure indicates the association between a business tag of a business that is preferred for employees to attend a learning course and the learning course. A data structure in which information relating to the business is combined with the tree structure 200 is shown in FIG.

  Here, the course tag 203 at the end of the tree 200 and the business tag 206 associated therewith constitute a matrix 210. The matrix 210 stores the association information 211. The association information 211 is, for example, the degree of relevance between the learning course indicated by the course tag 203 and the work indicated by the work tag 206 that intersects the course tag 203 in this matrix 210 (the degree of difficulty when the worker of the corresponding work attends) In other words, the degree to which the learning course is directly linked to the work is shown stepwise as “A” to “C”, for example, depending on its level.

  Furthermore, the validity information of the association recognized by the employee by attending the learning course can be associated. As shown in the drawing, in the association information 211, the validity is indicated by a numerical value together with the association degrees “A” to “C”. This validity display method is, for example, the total number of employees who have taken the learning course of this course tag 203, and recognizes that “the attendance of the learning course is valid in association with the work of XX”. The percentage obtained by dividing the number of employees can be shown as a percentage.

  Next, the business database 106 and the attendance history database 108 will be described. FIG. 3 is a diagram showing (a) a business database example and (b) an attendance history database example in the present embodiment. The business database 106 is a database that stores data of business tags 206 including, for example, business category information performed by employees belonging to a company in association with business performance time information. As shown in the figure, the data structure is a matrix structure composed of the time information 301, the business tag 206, the major classification 205, and the category 204. The matrix 203 stores the execution results of the corresponding business (for example, presence / absence of execution, due date / labor required for execution, performance results, etc.). Since the business database 106 is configured for each employee, it is managed as a sheet 305 for each employee.

  The attendance history database 108 is a database that stores the attendance history including the course tag 203 of the learning course that the employee has taken in association with the employee. As shown in the figure, the data structure is a matrix structure composed of attendance time information 302, the course tag 203, the major classification 202, and the category 201. The matrix 304 stores the attendance results (eg, presence / absence of attendance, due date / labor required for attendance, attendance results, etc.). Since the attendance history database 108 is configured for each employee, it is managed as a sheet 306 for each employee.

  In the present embodiment, the concept of “category” in the present invention includes the categories 201 and 204 and the major classifications 202 and 205. That is, the “category” here is the position of attribute information for tag classification.

  Each of the components 110 to 115 shown so far may be realized as hardware in the system 100, or may be realized as a program stored in an appropriate storage device such as an HDD or a memory. In this case, the arithmetic device of the system 100 reads the corresponding program from the storage device into the memory in accordance with the program execution and executes it.

  In addition, although the system 100 in this embodiment assumed the example with which the memory | storage device 105 and each structure part 110-115 were all equipped in the system 100, it is not limited to this form. For example, a part or combination of the configuration units, or any one or combination of the databases 106 to 108 are arranged in separate devices on the network, and an appropriate management server or the control unit 101 performs operation management of the configuration units. Thus, an example of realizing the present invention can be assumed.

  In addition to the LAN and the Internet, various networks such as a dedicated line, a WAN (Wide Area Network), a power line network, a wireless network, a public line network, and a mobile phone network can be adopted for the network 150. Further, if a virtual private network technology such as VPN is used, communication with improved security is established when the Internet is adopted. Alternatively, when each functional unit is arranged in the same system 100, the bus wiring in the system 100 can be assumed as a network.

  Next, the actual procedure of the learning course proposing method of the present embodiment will be described with reference to the drawings. Various operations corresponding to the learning course proposing method described below are realized by a program 102 provided in a storage unit such as a memory or an HDD in the system 100 to realize the functions of the components. And this program 102 is comprised from the code | cord | chord for performing various operation | movement demonstrated below, and implements the function of each said structure part.

  FIG. 4 is a flowchart showing the processing procedure of the learning course proposing method of the present embodiment. The system 100 accepts presentation of a search request for a learning course by an employee at the I / O unit 104 (s1000), and performs a process of extracting category information of at least one of the business or the learning course included in the search request ( s1001).

  Further, based on the business category information extracted in the extraction process, the business database tag 206 including the category information is searched in the course database 107 (s1002). Then, the course tag 203 associated with the business tag 206 is specified (s1003). In this case, for example, for the extracted business category information (eg, category 204 is “technology”, and major classification 205 is “network technology”), the course tag 203 intersects in the matrix 210 of the course database 107 shown in FIG. The process which extracts is performed.

  On the other hand, as another processing mode, a case where course tag specifying processing including category information in the course database 107 is performed based on the category information of the learning course extracted by the extraction process can be assumed. In this case, the category information of the learning course (e.g., category 201 is “technology”, major classification 202 is “RAID technology”) and the attributes of the course tag 203 constituting the course database 107 shown in FIG. Then, a process of extracting the corresponding course tag 203 is performed.

  The system 100 collates the course tag 203 identified in this way with the attendance history of the corresponding employee in the attendance history database 108 (s1004), and excludes the course tag of the attended learning course (s1005). Further, the validity information corresponding to the course tag 203 identified in the identifying process can be extracted from the course database 107 (s1006) and attached to the information of the course tag 203 (s1007).

  The system 100 can output the course tag 203 specified by the specifying process to the I / O unit 104 as a search result corresponding to the request from the user terminal 170. As an output form in this case, for example, an example in which the course tag 203 is simply presented together with information such as a learning course name and course contents can be assumed. In the present embodiment, not only such a simple output form but also a form of outputting as a matrix or a graph with improved recognition can be handled.

  In this case, the system 100 applies to a matrix or a graph centered on the category information (category 201, 204, major classification 202, 205, or course tag 203, task tag 206, and so on) of the course or task (s1008). Then, the proposed course distribution map is generated (s1009). An example of the proposed course distribution map is, for example, a matrix table 1400 shown in FIG. In this matrix table 1400, for example, the display form of the course tag 203 in the matrix 1415 where the category axes 1410 and 1420 of each work or learning course intersect is set according to the course difficulty level set in advance according to the work. It can be changed (s1010).

  For example, in the matrix 1415 of category axis 1410: “sales activity” × category axis 1420: “digital media”, for example, learning course information 1416 of “JAVA technology” is stored as the course tag 203. In addition, since it is difficult for employees who are engaged in “sales activities” to attend the “JAVA technology” study course, the “elementary” instruction color 1418 to be received: the matrix 1417 is displayed in red. . In this way, the instruction color as the display form of the matrix 1415, that is, the course tag 203, is changed step by step in accordance with the degree of difficulty of the course, from the primary color 1418, the intermediate color 1419, and the advanced color 1420.

  The proposed course distribution map 1400 generated in this way is sent to the user terminal 170 through the I / O unit 104 (s1011). The user terminal 170 displays the distribution chart 1400 on a display unit 175 such as a display for viewing by employees. If the employee views the distribution map 1400 and clicks the matrix 1415, for example, the system 100 or the client program 172 of the user terminal 170 displaying the distribution map 1400 displays the learning course. By presenting the information 1416, the employee can search for a learning course in a so-called “reverse lookup”. In other words, employees can directly recognize that they are interested in this learning course, but what kind of work is associated with it and how difficult it is.

  On the other hand, the system 100 can execute a process of generating an attendance distribution diagram that presents learning courses to be taken according to the attendance history of the employee and outputting it to the user terminal 170. This process can be executed completely separately from the process of generating the proposed course distribution map 1400 described above. However, in the flowchart of FIG. 4, both processes are connected by a broken line so that they can be handled as a series of processes.

  In this case, the system 100 specifies, for example, the attendance history database 108 using the employee ID of the employee as a key for the employee who has presented the search request for the study course, and further, the study course that the employee has attended. The course tag 203 is searched (s1012). In this case, information on whether or not to attend the corresponding course stored in each matrix 304 shown in FIG. Alternatively, a predetermined flag may be set in the matrix 304 corresponding to the lecture tag 203 with attendance, and the course tag 203 may be searched only for the matrix 304 with this flag.

  The corresponding course tags 203 searched in this way are classified for each course category or business category (s1013). Then, the system 100 calculates the distribution frequency of the course tag 203 for each course or business category (s1014). FIG. 5 is a conceptual diagram showing a simple summary example of large classification in the present embodiment. In the calculation process, the system 100 generates a calculation work table 500 as shown in FIG. In the work table 500, the attendance history is totalized for each major classification 202 to which the retrieved course tag 203 belongs. Accordingly, the totaling formula 510 is embedded in the table 500, and the number of “students present” information of the corresponding course tag 203 in the attendance history database 108 is added up.

  In addition, as shown in FIG. 6, it can be assumed that the year-to-date totals in the large classification 202 are aggregated. In this case, the system 100 generates the work table 600 in the memory 102 and embeds the aggregation formula 610 therein. This totaling formula 610 adds up the number of “students present” information of the corresponding course tag 203 in the attendance history database 108 for each major classification 202 of each fiscal year, and further performs cumulative processing for each fiscal year. .

  Furthermore, as shown in FIG. 7, it can be assumed that the year-to-date total in the course tag is totaled. In this case, the system 100 generates the work table 700 in the memory 102 and embeds the aggregation formula 710 therein. This totaling formula 710 adds up the number of “Attendance” information of the corresponding course tag 203 in the attendance history database 108 for each course tag 203 in each fiscal year, and further cumulatively processes this information in the fiscal year. .

  In the above example, the system 100 classifies the retrieved corresponding course tag 203 by course category or business category. On the other hand, before performing the distribution frequency calculation process, it is also possible to receive from the user terminal 170 an instruction of the range to be subjected to the calculation process. In this case, for example, a calculation range designation acceptance screen 800 as shown in FIG. 8 is transmitted to the user terminal 170 in advance. This screen 800 is a screen used by an employee who wants to search for a learning course related to a certain business, for example. For this reason, it is assumed that a classification table 810 of business tags 206 ranging from the business tag 206 to the major classification 205 and the category 204 is included in order to accept selection for the business to be designated.

  Of course, when the learning course is searched from the content or keyword of the learning course instead of searching the learning course from the work, the same classification table as the course database 107 is displayed and an instruction from the user terminal 170 is given. It should be accepted.

  In order to designate a predetermined business tag 206 or a category 204 or a large classification 205 in the classification table 810 at the user terminal 170, for example, select the corresponding business tag 206 using the scroll button 801 on the screen 800. It is only necessary to press the add button 802 after performing the operation. On the other hand, once deleted, the deletion is executed by pressing the delete button 803. When the add button 802 is pressed, the corresponding category 204, major classification 205, and the like are added to the range designation field 804. When the category 204 or the like added to the range designation field 804 is used as the vertical axis in the attendance distribution chart to be described later, the designation can be accepted in the range designation field 805 for the horizontal axis as well.

  9 can be transmitted to the user terminal 170 to accept a designation of a period such as a fiscal year or a specific employee (individual employee) for the distribution frequency calculation range. . The screen 900 includes year entry fields 901 and 903, first or second half entry fields 902 and 904, a determination button 905 for accepting the end of input, and a return button 906 for returning to the previous process. Also. The screen 910 includes an input field 911 such as an employee name, a determination button 905 for accepting the end of input, and a return button 906 for returning to the previous process.

  In addition, the designation reception screen 1000 shown in FIG. 10 is transmitted to the user terminal 170, and the designation of the organization such as the department to which the employee belongs or a specific employee (individual employee) is accepted for the calculation range of the distribution frequency. You can also. The screen 1000 includes an organization code input field 1001, a name input field 1002, an add button 1003 for accepting addition of an organization or employee to be designated, a delete button 1004 for accepting deletion of a designated organization or employee, the add button 1003, In response to pressing of the delete button 1004, an organization or employee information is added or deleted, an addition field 1005, a decision button 1006 for accepting the end of input, and a return button 1007 for returning to the previous process.

  The distribution frequency calculation range designation from the user terminal 170 is received on the screens 800, 900, 910, and 1000, the course tag 203 belonging to the range is searched, and the distribution frequency calculation process described above is performed. It becomes.

  The system 100 calculates the distribution frequency of the course tags calculated in this way, for example, the category of the course (category 201, major classification 202, course tag 203) or the category of work (category 204, major) that has been designated in FIG. It applies to the matrix or graph centering on the classification 205 and the business tag 206) (s1015), and the attendance distribution map is generated (s1016).

  FIG. 11 is a plane graph display example of the attendance distribution chart 1150 in the present embodiment. In the attendance distribution chart 1150, the calculation range corresponds to a situation in which “A” to “D” of the organization are designated for “A” to “L” of the course tag 203. Accordingly, the horizontal axis 1101 is “course tag”, and the vertical axis 1102 is “frequency”. The screen 1100 includes a legend 1103 for each organization in the graph.

  In addition, it is assumed that the instruction of the display form of the attendance distribution chart 1150 can be received on this screen 1100, a personal / organization button 1104 for accepting either an individual or an organization, and a simple / cumulative accepting the possibility of cumulative aggregation over the year. As a display form of the button 1105 and the attendance distribution chart 1150, a plane / solid button 1106 for receiving an instruction of a plane graph or a solid graph is provided. Accordingly, in response to pressing of these buttons, for example, the processing of steps s1013, s1014, and s1015 is executed again, and the attendance distribution chart 1150 is regenerated. The generated attendance distribution chart 1150 is displayed when the display button 1111 is pressed, and the display is ended when the end button 1112 is pressed.

  Furthermore, the calculation range designation is also accepted on this screen 1100, and includes a period selection button 1107, an employee designation button 1108, an organization designation button 1109, and a tag selection button 1110. Accordingly, in response to the pressing of these buttons, for example, the designation receiving process of the frequency calculation range described with reference to FIGS. 8 to 10 is executed again.

  FIG. 12 is an example of a plane graph display at the time of cumulative aggregation of the attendance distribution map in the present embodiment. In the attendance distribution chart 1250, the calculation range corresponds to the situation in which the categories “A” to “F” are designated for “A” to “L” in the year. Therefore, the horizontal axis 1201 is “year”, and the vertical axis 1202 is “cumulative frequency”. The screen 1200 includes a legend 1203 for each category in the graph.

  In addition, it is assumed that an instruction on the display form of the attendance distribution chart 1250 can be received on this screen 1200, a personal / organization button 1204 for accepting either an individual or an organization, and a simple / cumulative accepting the possibility of cumulative aggregation over the year. As a display form of the button 1205 and the attendance distribution chart 1250, a plane / stereo button 1206 for receiving an instruction of a plane graph or a solid graph is provided. Therefore, in response to pressing of these buttons, for example, the processing of steps s1013, s1014, and s1015 is executed again, and the attendance distribution map 1250 is regenerated. The generated attendance distribution map 1250 is displayed when the display button 1211 is pressed, and on the other hand, the display is ended when the end button 1212 is pressed.

  Furthermore, the calculation range designation is accepted on this screen 1200, and includes a period selection button 1207, an employee designation button 1208, an organization designation button 1209, and a tag selection button 1210. Accordingly, in response to the pressing of these buttons, for example, the designation receiving process of the frequency calculation range described with reference to FIGS. 8 to 10 is executed again.

  FIG. 13 is a three-dimensional graph display example of the attendance distribution chart 1350 in the present embodiment. In this attendance distribution chart 1350, the calculation range corresponds to a situation in which major classifications “5” to “7” are designated for major classifications “1” to “3”, and one axis is The category axis 1351 and the other axis are the category axis 1352. In the three-dimensional graph, the calculated distribution frequency is shown as a columnar body 1353, for example, at the intersection of each category axis. The height of the columnar body 1353 is the distribution frequency.

  Further, as described above with reference to FIG. 14, for example, in accordance with the selection operation for this columnar body 1353, information 1354 regarding employees (in the figure: employees A to G) included in this distribution frequency is used from the system 100. Can be returned to the operator terminal 170. The information 1354 is associated with, for example, the above-described plane graph 1355 at the time of cumulative aggregation of the corresponding employee in accordance with FIG. 12, and is displayed in a pop-up, for example, according to a click operation on the display of the corresponding employee. Such processing is also possible. Further, the validity information can also be extracted from the course database 107 and displayed on the screen 1300 according to the selection operation to the columnar body 1353. In this case, the information 1004 relating to the employee and the data of the plane graph 1355 are held in the memory 103 by the system 100, and the user terminal 170 via the I / O unit 104 in response to a request from the user terminal 170. Shall be output.

  As described above, the system 100 can comprehensively present information related to attendance of the learning course to the user terminal 170 in conjunction with the attendance distribution chart 1350. As a result, for the XX year in a certain organization, for example, the frequency of attendance of learning courses related to a large classification such as “network technology” and a large classification such as “sales” is visually and It can be clearly recognized. In addition, individual employee information such as how the employees belonging to the organization are taking the learning course can also be presented. In other words, the history of attendance for an arbitrary range and section, such as an organization and individual employees, a single year and a cumulative year, or a category range such as any category 201, 204, major classification 202, 205, or any course tag 203 Can be processed and displayed in an easy-to-understand manner.

  As with the screens 1100 and 1200, it is assumed that the instruction of the display form of the attendance distribution chart 1350 can be received on this screen 1300, and an individual / organization button 1304 for accepting either an individual or an organization, In addition, a simple / cumulative button 1305 for accepting whether or not accumulation can be performed, and a plane / solid button 1306 for accepting an instruction of a plane graph or a solid graph as a display form of the attendance distribution chart 1350 are provided. Accordingly, in response to pressing of these buttons, for example, the processes of steps s1013, s1014, and s1015 are executed again, and the attendance distribution chart 1350 is regenerated. The generated attendance distribution chart 1350 is displayed when the display button 1311 is pressed, and on the other hand, the display is ended when the end button 1312 is pressed.

  Furthermore, the calculation range designation is also accepted on this screen 1300, and includes a period selection button 1307, an employee designation button 1308, an organization designation button 1309, and a tag selection button 1310. Accordingly, in response to the pressing of these buttons, for example, the designation receiving process of the frequency calculation range described with reference to FIGS. 8 to 10 is executed again.

  In addition, the system 100 changes the display form of the distribution frequency in each course or each business category in such a attendance distribution diagram according to the stage of the distribution frequency (s1017). This process can be assumed to change the height of the columnar body 1353 stepwise or to change the display color, pattern, or shape. Alternatively, when the attendance distribution diagram is a plane graph, it can be assumed that the thickness, line type, color, and pattern of the lines and bars constituting the graph are changed. Such a stage change process can be applied not only when the attendance distribution diagram is a graph, but also when the matrix structure is as shown in FIG.

  Further, the distribution frequency of a predetermined course or business category may be compared with a predetermined threshold value (s1018), and an emphasis process may be performed for an area having a distribution frequency equal to or lower than the predetermined threshold value (s1019). In this process, the threshold stored in the memory 103 of the system 100 is compared with the distribution frequency. For example, if it is equal to or less than the threshold, the task of the task tag associated with the corresponding learning course can be handled. It can also be an instruction of a determination result such as “No”. As the enhancement processing, for example, it is possible to assume that the display color, pattern, or shape of a part of the columnar body 1353 (part below the threshold) is changed. Alternatively, when the attendance distribution diagram is a plane graph, it can be assumed that the thickness, line type, color, and pattern of the lines and bars constituting the graph are changed. Such an emphasis process is applicable not only when the attendance distribution chart is a graph but also when the attendance distribution chart has a matrix structure as shown in FIG.

  The attendance distribution map generated and processed as described above is output to the user terminal 170 through the I / O unit 104 (s1020), and the process ends.

According to the present invention, it is possible to digitize the information of each person's work and lectures, and to display them in two or three dimensions. In addition, it is possible to clearly propose a learning course necessary for a job that a learner wants to extend or to extend. As a result, education directly connected to the work is realized.
Therefore, it is possible to propose an accurate and clear learning course to the learner.

  As mentioned above, although embodiment of this invention was described concretely based on the embodiment, it is not limited to this and can be variously changed in the range which does not deviate from the summary.

It is a network block diagram including the learning course proposal system in this embodiment. In a course database of this embodiment, it is a figure showing an example of (a) category composition and (b) data composition. It is a figure which shows the example of (a) business database in this embodiment, and (b) attendance history database example. It is a flow surface which shows the process sequence of the learning course proposal method of this embodiment. It is a conceptual diagram which shows the simple totalization example of the large classification in this embodiment. It is a conceptual diagram which shows the example of accumulation totalization of the large classification in this embodiment. It is a conceptual diagram which shows the method of the accumulation total of the course tag in this embodiment. It is an example of a screen which receives the calculation range specification of the distribution frequency of this embodiment. It is an example of a screen which receives designation | designated of the period and the employee who become the calculation range of the distribution frequency of this embodiment. It is an example of a screen which receives designation | designated of the organization used as the calculation range of the distribution frequency of this embodiment, and an employee. It is the example of a plane graph display at the time of the simple aggregation of the structure | tissue in this embodiment, and an operation screen. It is the example of a plane graph display at the time of the accumulation total of the individual in this embodiment, and an operation screen. It is the example of a solid graph display at the time of the simple aggregation of the structure | tissue in this embodiment, and an operation screen. It is a figure which shows the example of a matrix display in this embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 System 101 Control part 102 Program 103 Memory 104 I / O part 105 Storage device 106 Business database 107 Course database 108 Attendance history database 110 Search reception part 111 Course specification part 112 Suggested course distribution map generation part 113 Calculation part 114 Attendance distribution map generation Unit 115 output processing unit 150 network 170 user terminal 171 user terminal control unit 172 client program 173 user terminal memory 174 user terminal I / O unit 175 user terminal display unit 176 user terminal operation unit

Claims (10)

A system that proposes learning courses according to the work of the members of the organization,
A business database that stores business tag data including business category information performed by the member in association with business performance time information;
Lecture database that stores the data of the course tag including the category information of the learning course, in association with the business tag of the work that the attendance of the learning course is preferred for the member,
A course history database that stores a course history including a course tag of a learning course taken by the member, in association with the member,
A search accepting unit that accepts presentation of a search request for a learning course by an affiliated member through an input interface, and performs a process of extracting category information of at least one of a task or a learning course included in the search request;
Based on the business category information extracted by the extraction process, the business database including the category information is searched for in the course database, and the course tag associated with the business tag is specified, or learning extracted by the extraction process Based on the category information of the course, a course specifying unit that performs processing for specifying a course tag including the category information in the course database,
An output processing unit for outputting information of the course tag specified in the specifying process to an output interface;
Learning course proposal system with The course specifying unit according to claim 1,
A learning course proposing system characterized by collating the course tag specified by the specific processing with the attendance history of the corresponding member in the attendance history database and eliminating the course tag of the attended learning course. In claim 1,
Regarding the association between the learning tag and the work tag of the work that is preferred for the member to attend the learning course and the learning course, the course database includes information on the validity of the association recognized by the member by attending the learning course. It is stored in association with the course tag,
The learning course suggesting system, wherein the course identifying unit extracts the validity information corresponding to the course tag identified in the identifying process from a course database and attaches the information to the course tag information. In any one of Claims 1-3,
Applying the course tag specified in the specifying process to a matrix or a graph centered on a course or business category, a proposed course distribution map generation unit for generating and processing a proposed course distribution map,
An output processing unit that outputs the generated course distribution map to the output interface;
Learning course proposal system with The proposed course distribution map generation unit according to claim 4,
In the proposed course distribution diagram, a learning course proposal system that changes a course tag display form in each work category according to a course difficulty level set in advance according to the work. In any one of Claims 1-5,
For the member presenting the search request, search the course history database for the lecture tag of the learning course that the member has taken, classify the searched course tag for each category of the course or business category, A calculation unit that calculates the distribution frequency of the lecture tag or the category of the work by category,
Applying the calculated distribution frequency of the course tag to a matrix or graph with the course or work category as an axis, and a course distribution chart generating section for creating a course distribution chart,
An output processing unit for outputting the generated attendance distribution map to an output interface;
Learning course proposal system with The attendance distribution map generation unit according to claim 6,
In the attendance distribution diagram, a learning course suggesting system characterized by collating a distribution frequency of a predetermined course or business category with a predetermined threshold and applying an emphasis process to a region having a distribution frequency equal to or lower than the predetermined threshold. The attendance distribution map generation unit according to claim 6,
In the attendance distribution diagram, a learning course proposal system that changes a display form of a distribution frequency in each course or each business category according to the stage of the distribution frequency. A method of using an information processing device to propose a learning course according to the work of an organizational member,
The information processing apparatus is
A business database that stores business tag data including business category information performed by the member in association with business performance time information;
Lecture database that stores the data of the course tag including the category information of the learning course, in association with the business tag of the work that the attendance of the learning course is preferred for the member,
A course history database including a course history including a course tag of a learning course taken by the affiliated member is stored in association with the affiliated member,
Receiving a search request for a study course by an affiliation member at the input interface, and extracting at least one of the category information of the work or study course included in the search request,
Based on the business category information extracted by the extraction process, the business database including the category information is searched for in the course database, and the course tag associated with the business tag is specified, or learning extracted by the extraction process Based on the category information of the course, specify the course tag that includes the category information in the course database,
Lecture tag information specified in the specifying process is output to an output interface. How to propose learning courses according to the work of the members of the organization,
A business database that stores business tag data including business category information performed by the member in association with business performance time information;
Lecture database that stores the data of the course tag including the category information of the learning course, in association with the business tag of the work that the attendance of the learning course is preferred for the member,
A program for causing an information processing apparatus to include an attendance history database that stores a course history including a course tag of a learning course taken by the affiliated member in association with the affiliated member,
A step of accepting presentation of a search request for a learning course by an affiliated member through an input interface and performing a process of extracting category information of at least one of a task or a learning course included in the search request;
Based on the business category information extracted by the extraction process, the business database including the category information is searched for in the course database, and the course tag associated with the business tag is specified, or learning extracted by the extraction process Based on the category information of the course, performing a process for identifying the course tag including the category information in the course database;
Outputting information of the course tag identified in the identifying process to an output interface;
A study course proposal program characterized by including

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