JP6764172B2 - Experience learning support method, experience learning support device and program - Google Patents

Description

The present invention relates to an experience learning support method, an experience learning support device, and a program.

The four processes of David Kolb's experiential learning cycle are: firstly concrete experience, secondly observing and looking back (reflection), and thirdly forming and generalizing abstract concepts. Things (lessons learned, etc.), and fourthly, application to new situations (future efforts) are mentioned. The above process is said to be a process in which an individual learns from experience, but if he / she can get feedback on the experience of another person or discuss an abstract concept together with the experience of another person, the experienced person can learn the experience individually. It is considered to be more effective than turning the process. For this reason, after filling out a sheet to take an inventory of one's own experience, training and the like are conducted to deepen experience learning by discussing with others based on the contents of the sheet (for example, Non-Patent Document 1).

Japanese Unexamined Patent Publication No. 11-39264 Japanese Unexamined Patent Publication No. 2000-20237

Mutsumi Matsuo, "OJT Support Measures Using" Growth Feeling Sheet ": An Example of Suntory Holdings Limited", [online], Internet <URL: http://eprints.lib.hokudai.ac.jp/dspace/bitstream/ 2115/52736/1 / DPB110.pdf ＞

However, even if you use the experience inventory sheet, if you proceed with the discussion only by those who are not familiar with experience learning, you may not be able to discuss in the direction of deepening experience learning. If support is obtained such as inviting a facilitator who is familiar with experiential learning to the forum and asking questions to the forum so that the discussion will proceed in the direction of deepening experiential learning, discussions will flow in addition to the direction of deepening experiential learning. Can be prevented.

On the other hand, the cycle of experiential learning leads to skill improvement by repeatedly and continuously turning. Therefore, it is necessary to continue discussions to deepen experiential learning. However, it is difficult for many workplaces to receive continuous discussion support from facilitators who are familiar with experiential learning. Therefore, even if there is no facilitator who is familiar with experiential learning, there is a need for a discussion support method that can encourage discussions in the direction of deepening experiential learning.

Conventional techniques for supporting discussions have been invented so far. For example, the techniques disclosed in Patent Document 1 and Patent Document 2 encourage discussions in line with the interests of discussion participants. However, in the discussion of experience learning, if the discussion participants simply follow the interests of the participants, the questions and answers of the system specifications that appear in the experience stories will not be detailed in the behavior of the experience sharer. From experience, it often ends up being a discussion that has nothing to do with the discussion about improving one's own behavior. Therefore, it is difficult to encourage discussion in the direction of promoting experiential learning with the conventional technology.

The present invention has been made in view of the above points, and an object of the present invention is to support discussions for deepening empirical learning.

Therefore, in order to solve the above problem, the experience learning support method uses an input procedure for inputting first data including a description based on a certain experience for each process of experience learning, and a specific expression for each process of experience learning. An acquisition procedure for acquiring a question corresponding to the specific expression not included in the description among the specific expressions corresponding to the process related to the description for each description from the storage unit that stores the question in association with the description. The computer executes the output procedure of outputting each of the acquired questions in correspondence with the above description.

To support discussions to deepen experiential learning.

It is a figure which shows the hardware configuration example of the experience learning support apparatus 10 in embodiment of this invention. It is a figure which shows the functional structure example of the experience learning support apparatus 10 in embodiment of this invention. It is a flowchart for demonstrating an example of the processing procedure executed by the experience learning support apparatus 10. It is a figure which shows the structural example of the experience learning sheet. It is a flowchart for demonstrating an example of the processing procedure of the experience learning support sheet creation process. It is a figure which shows the structural example of the experience learning support sheet. It is a flowchart for demonstrating an example of a process procedure of a question generation process. It is a figure which shows the structure example of the question correspondence table. It is a figure which shows an example of the experience learning support sheet which a question was output. It is a flowchart for demonstrating an example of the processing procedure of the related past data selection processing. It is a flowchart for demonstrating an example of the processing procedure of the past data similarity evaluation processing. It is a figure which shows the structure example of the weight value management table. It is a flowchart for demonstrating an example of the processing procedure of the target entry number of times estimation processing. It is a flowchart for demonstrating an example of the processing procedure of the related past data output processing. It is a figure which shows an example of the experience learning support sheet which output related past data.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing a hardware configuration example of the experience learning support device 10 according to the embodiment of the present invention. The experience learning support device 10 of FIG. 1 has a drive device 100, an auxiliary storage device 102, a memory device 103, a CPU 104, an interface device 105, a display device 106, an input device 107, and the like, which are connected to each other by a bus B, respectively. ..

The program that realizes the processing in the experience learning support device 10 is provided by a recording medium 101 such as a CD-ROM. When the recording medium 101 storing the program is set in the drive device 100, the program is installed in the auxiliary storage device 102 from the recording medium 101 via the drive device 100. However, the program does not necessarily have to be installed from the recording medium 101, and may be downloaded from another computer via the network. The auxiliary storage device 102 stores the installed program and also stores necessary files, data, and the like.

The memory device 103 reads and stores the program from the auxiliary storage device 102 when the program is instructed to start. The CPU 104 realizes the function related to the experience learning support device 10 according to the program stored in the memory device 103. The interface device 105 is used as an interface for connecting to a network. The display device 106 displays a programmatic GUI (Graphical User Interface) or the like. The input device 107 is composed of a keyboard, a mouse, and the like, and is used for inputting various operation instructions.

FIG. 2 is a diagram showing a functional configuration example of the experience learning support device 10 according to the embodiment of the present invention. In FIG. 2, the experience learning support device 10 includes an input unit 11, an experience learning support sheet creation unit 12, an output unit 13, and the like. The experience learning support sheet creation unit 12 includes a question generation unit 121 and a related past data selection unit 122. Each of these parts is realized by a process of causing the CPU 104 to execute one or more programs installed in the experience learning support device 10. The experience learning support device 10 also uses the data storage unit 14. The data storage unit 14 can be realized by using, for example, a storage device that can be connected to the auxiliary storage device 102 or the experience learning support device 10 via a network.

Hereinafter, the processing procedure executed by the experience learning support device 10 will be described. FIG. 3 is a flowchart for explaining an example of the processing procedure executed by the experience learning support device 10.

In step S101, the input unit 11 inputs the experience learning sheet as an electronic file. The input experience learning sheet (hereinafter referred to as "input experience learning sheet") is stored in the data storage unit 14 and output to the experience learning support sheet creation unit 12.

FIG. 4 is a diagram showing an example of an experience learning sheet. In FIG. 4, the experience learning sheet is roughly divided into four entry fields c11 to c14.

The entry field c11 is a field in which the name of the person who filled out the experience learning sheet is entered. The entry field c12 corresponds to each process (hereinafter referred to as "learning process") regarding the actual experience of the writer for each of the four processes (experience, reflection, lessons learned, future efforts) related to the experiential learning cycle. Includes entry fields for items to be completed.

The entry field c13 is a field in which skills aimed at acquisition based on the actual experience (looking back on the actual experience) are entered.

The entry field c14 is a field in which the names of each member (hereinafter referred to as "discussion participating member") scheduled to participate in the discussion for deepening experiential learning are entered.

For example, the input experience learning sheet is prepared in advance prior to the discussion for deepening the experience learning. The input experience learning sheet may be created by the input unit 11 according to the operation by the user, or may be created by software different from the input unit 11.

The experience learning sheet shown in FIG. 4 is filled with, for example, the experience of having a sales manager as the writer and giving his / her subordinates an opportunity to propose a certain device to the customer. This is an experience learning sheet. Here, if the person is unfamiliar with empirical learning, there is a possibility that an appropriate description cannot be made in the column corresponding to each learning process in the entry field c12. For example, in the "review" column of the entry field c1 in FIG. 4, "all" should be described in consideration of the specific experience described in the "experience (case)" column. The experience itself is described, such as "I made a proposal for XX equipment together with the proposal destination of." In the present embodiment, even if such an inappropriate description is made, a device is devised so as to guide the discussion for deepening empirical learning in an appropriate direction.

Subsequently, the experience learning support sheet creation unit 12 executes the experience learning support sheet creation process (S102). The experience learning support sheet is data different from the experience learning sheet. Specifically, the experiential learning support sheet refers to data for supporting discussions for deepening experiential learning about the experience described in the experiential learning sheet.

Subsequently, the output unit 13 saves the experience learning support sheet created in the experience learning support sheet creation process in the data storage unit 14 (S103). Subsequently, the output unit 13 outputs the experience learning support sheet (S104). For example, the experience learning support sheet may be displayed on the display device 106, or may be output by a printer or the like.

Subsequently, the details of step S102 will be described. FIG. 5 is a flowchart for explaining an example of the processing procedure of the experience learning support sheet creation process.

In step S201, the experience learning support sheet creation unit 12 creates an empty experience learning support sheet, and among the columns included in the experience learning support sheet, the description content of the input experience learning sheet is in the column corresponding to the input experience learning sheet. Is posted.

FIG. 6 is a diagram showing a configuration example of the experience learning support sheet. In FIG. 6, the experience learning support sheet includes entry fields c21, c22, c23, and the like. The entry field c21 is a field in which the name of the person who filled in the input experience learning sheet is posted. The entry field c22 is a field in which the matters described in the entry field c12 of the input experience learning sheet are described. The entry field c23 is a past experience learning sheet related to an experience similar to the experience related to the input experience learning sheet, and is an entry of the experience learning sheet (hereinafter referred to as "related past data") that should be referred to in the discussion. This is a column in which the matters described in the column c12 are posted.

At the stage of step S201, the name in the entry field c11 of the input experience learning sheet is transferred to the entry field c21 of the experience learning support sheet. In addition, the items described for each learning process in the entry field c12 of the input experience learning sheet are transcribed in the entry field of the same learning process in the entry field c22 of the experience learning support sheet.

Subsequently, the question generation unit 121 executes the question generation process (S202). In the question generation process, a question for deriving an expression that should be included in the entry column for the learning process is output to the entry column c22 of the experience learning support sheet for each learning process. That is, as shown in FIG. 4, the description of the entry field for each learning process in the entry field c11 of the input experience learning sheet is not always appropriate. Therefore, a question for making the contents of the entry fields for each learning process in line with the contents intended by each learning process is output to the experience learning support sheet in step S202.

Subsequently, the related past data selection unit 122 executes the related past data selection process (S203). In the related past data selection process, each entry field of each past data and input experience learning data from a set of past learning data (hereinafter referred to as "past data") stored in the data storage unit 14 Based on the commonality of the description included for each process in c12, the past data corresponding to the experience similar to the experience related to the input experience learning data is generated as the related past data. In addition, the description in the entry field c12 of the related past data is posted in the entry field c23 of the experience learning support sheet.

Subsequently, the details of step S202 will be described. FIG. 7 is a flowchart for explaining an example of the processing procedure of the question generation process. In step S301, the question generation unit 121 acquires the text information described in the "experience (case)" column of the entry column c12 of the input experience learning sheet. Next, the question generation unit 121 determines whether or not one or more specific expressions that are desirable (should be included) to be included in the "experience (case)" column are included in the text information. Judgment (S302). The specific expression can be specified by referring to the question correspondence table stored in the data storage unit 14.

FIG. 8 is a diagram showing a configuration example of a question response table. As shown in FIG. 8, in the question correspondence table, it is desirable (should be included) to be included in the description of each learning process column in the entry column c12 of the experience learning sheet. Is registered. In addition, in the specific expression, the description such as "equal XXX expression" is a generalized expression of the term (keyword) corresponding to the description, and in reality, each keyword corresponding to the expression is registered as the specific expression. To.

In the question correspondence table, questions are stored in association with each specific expression. The question is a question for deriving a description (matter) including the specific expression when the corresponding specific expression is not included in the column of the corresponding learning process.

Subsequently, the question generation unit 121 asks the questions registered in the question correspondence table in association with the specific expressions not included in the text information among the specific expressions for "experience (case)" in the question correspondence table. , Output to the "experience (case)" column in the entry column c22 of the experience learning support sheet (S303).

In subsequent steps S304 to S306, the same process is executed for the "review" column. In subsequent steps S307 to S309, the same process is executed for the "lessons learned" column. In subsequent steps S310 to S312, the same process is executed for the "future efforts" column. As a result, the experience learning support sheet is in the state shown in FIG.

FIG. 9 is a diagram showing an example of an experience learning support sheet in which a question is output. In the experience learning support sheet shown in FIG. 9, a question is added to the entry field for each learning process in the entry field c22 to guide the description contents in each entry field to appropriate contents. The description started with "Q:" is the question.

Subsequently, the details of step S203 of FIG. 5 will be described. FIG. 10 is a flowchart for explaining an example of the processing procedure of the related past data selection process.

In step S401, the related past data selection unit 122 executes the past data similarity evaluation process. In the past data similarity evaluation process, the similarity with the input experience learning sheet is evaluated (calculated) for each past data.

Subsequently, the related past data selection unit 122 executes the target entry number of times estimation process (S402). In the target entry count estimation process, the number of past data including the description substantially the same as the description in the entry field c13 of the input experience learning sheet is counted as the target entry count.

Subsequently, the related past data selection unit 122 executes the related past data output process (S403). In this process, related past data is selected from the past data based on the degree of similarity and the like, and the description of the selected related past data is output to the experience learning support sheet. The selection criteria for related past data change depending on the number of target entries counted in step S402.

Subsequently, the details of step S401 will be described. FIG. 11 is a flowchart for explaining an example of the processing procedure of the past data similarity evaluation processing.

In step S501, the related past data selection unit 122 indicates the past of all the past data (whether or not the writer is the same as the input experience learning data) stored in the data storage unit 14. For each process-specific column of the data entry column c12, the number of co-occurrence (the number of appearances in the column) with the corresponding column in the input experience learning sheet is counted for each word included in the column. For example, the word "suggestion" is included in the "experience (case)" column of certain past data, and the word "suggestion" appears twice in the "experience (case)" column of the input experience learning sheet. In this case, the number of co-occurrence of the word (“suggestion”) is 2.

Subsequently, the related past data selection unit 122 obtains the product of the number of co-occurrences counted for each word in the entry field c12 of the past data and the weight value for each word for each past data, and sums the products. By obtaining the above, the degree of similarity between the past data and the input experience learning sheet is calculated (S502). The weight value for each word is registered in the weight value management table stored in the data storage unit 14.

FIG. 12 is a diagram showing a configuration example of the weight value management table. As shown in FIG. 12, the weight value management table is used (frequently or typically) in each business phase (business work) in the organization that uses the experience learning support device 10. Weight values are registered for terms (words). The weight value is increased as the term (word) used has fewer business phases. Specifically, in the example of FIG. 12, the weight value of the term used in a plurality of business phases is set to 2, and the weight value used only in a specific business phase is set to 3. By doing so, it is possible to highly evaluate the similarity of the past data related to the same business phase as the business phase in which the experience related to the input experience learning sheet is generated. The weight value for a term (word) not registered in the weight value management table is, for example, 1.

Subsequently, the related past data selection unit 122 classifies the past data group into groups by writer (name of entry field c21) (hereinafter referred to as "group by writer"), and groups by writer. The past data is sorted in descending order of similarity (S503).

Subsequently, the details of step S402 of FIG. 10 will be described. FIG. 13 is a flowchart for explaining an example of the processing procedure of the target entry number of times estimation process.

In step S601, the related past data selection unit 122 has substantially the same description in the entry field c13 as the description in the entry field c13 of the input experience learning sheet among all the past data stored in the data storage unit 14. Count the number of historical data. In addition to the exact match, the term "substantially the same" includes the case of almost matching (similarity). As an example of similar cases, there is a case where the word order is different. For example, with respect to the entry field c13 in FIG. 4, the description such as "skill to encourage subordinates to propose new products" may be determined to be substantially the same. Further, since the synonyms of the words used on one side are used in the correspondence, it may be determined that they are substantially the same even if they are not the same.

Subsequently, the related past data selection unit 122 outputs the count number as the target entry number (S602). The number of times the goal is entered is used as an index for estimating the height of the experience value for the skill to be acquired.

Subsequently, the details of step S403 of FIG. 10 will be described. FIG. 14 is a flowchart for explaining an example of the processing procedure of the related past data output processing. The feature of the processing procedure is that the past data selected as related past data changes according to the target number of entries estimated in the previous process and the discussion participating members described in the entry field c14 of the input experience learning sheet. Is.

In step S701, the related past data selection unit 122 determines whether or not the number of target entries output in the processing procedure of FIG. 13 is less than 3. When the target number of times of entry is less than 3 (Yes in S701), the related past data selection unit 122 fills in (a) of the past data belonging to the entry-specific group in which the entry experience learning sheet and the entry are the same. Acquire the past data having the highest degree of similarity among the past data containing a positive expression in the "review" column of column c12 and (b) not being selected as related past data for the person concerned. (S702). In addition, among the past data corresponding to (a) and (b), the past data having the Nth similarity (that is, a plurality of past data) may be acquired.

Subsequently, the related past data selection unit 122 extracts from the classification result of step S503 of FIG. 11 each entrant-specific group in which any one of the members included in the discussion participation member of the input experience learning sheet is the entrant. S703).

Subsequently, the related past data selection unit 122 includes a positive expression in the “review” column of (a) entry column c12 among the past data groups belonging to each extracted group for each entrant, and (b). Among the past data that have not been selected as the related past data for the person who filled out the input experience learning sheet, the past data having the highest degree of similarity is acquired (S705). In addition, among the past data corresponding to (a) and (b), the past data having the Nth similarity (that is, a plurality of past data) may be acquired.

On the other hand, the related past data selection unit 122 includes a negative expression in the “review” column of (a) entry field c12 among the past data belonging to the group for each writer who has the same writer as the input experience learning sheet. In addition, (b) the past data having the highest degree of similarity among the past data that has not been selected as the related past data for the person concerned is acquired (S706). In addition, among the past data corresponding to (a) and (b), the past data having the Nth similarity (that is, a plurality of past data) may be acquired.

Subsequently, the related past data selection unit 122 extracts from the classification result of step S503 of FIG. 11 each entrant-specific group in which any one of the members included in the discussion participation member of the input experience learning sheet is the entrant. S703).

Subsequently, the related past data selection unit 122 includes a negative expression in the “review” column of (a) entry column c12 among the past data groups belonging to each extracted group for each entrant, and (b). Among the past data that have not been selected as the related past data for the person who filled out the input experience learning sheet, the past data having the highest degree of similarity is acquired (S707). In addition, among the past data corresponding to (a) and (b), the past data having the Nth similarity (that is, a plurality of past data) may be acquired.

Following step S704 or S707, the related past data selection unit 122 transfers the description of the entry field c12 of each past data acquired in step S702 or S704, or step S705 or S707 to the entry field c23 of the experience learning support sheet. Output.

FIG. 15 is a diagram showing an example of an experience learning support sheet in which related past data is output. The description of the past data acquired in step S702 or S705 is output for each process to the line of "filler" in the entry field c23. On the other hand, the description of the past data acquired in step S704 or S707 is output for each process to the line of "discussion participating member" in the entry field c23.

In FIG. 14, when the number of times the goal is entered is less than 3, it corresponds to the case where the experience value for the skill to be acquired is low. In this case, the past data including the positive expression is acquired in the retrospective column because such past data is likely to correspond to a successful case. In other words, it can be expected that active discussions for acquiring skills will be promoted by referring to successful cases at the stage when the experience value is low. On the other hand, when the number of times the goal is entered is 3 or more, it corresponds to the case where the experience value for the skill to be acquired is high. In this case, the past data including the negative expression is acquired in the retrospective column because such past data is likely to correspond to a failure case. That is, at the stage where the experience value is high, it can be expected that the maturity of the skill will be improved by discussing the problems obtained by the failure case.

As described above, in the present embodiment, the selection criteria of the related past data change according to the number of times the target is entered. By doing so, past data suitable for the person who fills in the input experience learning sheet can be selected as related past data.

The positive expression and the negative expression may be determined by storing dictionary data including keywords corresponding to the respective expressions in the data storage unit 14 and performing the determination based on the dictionary data.

Further, the condition (b) in steps S702, S704, S705, and S707 may be canceled. The condition (b) is to avoid duplication of the content of each discussion by selecting the same past data as related past data many times and using the same past data as a reference in multiple discussions. It is a condition for. If such a situation may be tolerated, or if the condition (b) is present and no corresponding past data can be obtained, the condition (b) may be ignored.

Further, the threshold value for the number of times the target is entered may be other than 3, and may be appropriately changed according to the operation.

In addition, a column is provided on the experience learning sheet to enter the difficulty level of the items (work) experienced, and if the number of times the target is entered is less than the threshold value, the past data with a low difficulty level is regarded as a candidate for selection of related past data, and the goal is entered. When the number of times is equal to or greater than the threshold value, the related past data may be selected from a viewpoint other than the success case / failure case by making the past data with high difficulty a candidate for selection of the related past data. ..

Further, the related past data may be selected by combining the viewpoints of success cases / failure cases and the difficulty level. In this case, there may be two threshold values for the number of times the target is entered. By doing so, the range distinguished by the number of times the target is entered can be divided into four. As a result, for example, when the number of times the goal is entered belongs to the first category, the related past data is selected from the viewpoint of successful cases, and when it belongs to the second category, the related past data is selected from the viewpoint of low difficulty. Select the data, if it belongs to the third category, select the related past data from the viewpoint of failure cases, and if it belongs to the fourth category, select the related past data from the viewpoint of difficulty. May be good.

The user discusses with the members participating in the discussion based on the output experience learning support sheet. By doing so, it is possible to have an appropriate discussion about each process based on the questions output for each process of experiential learning. In addition, it is possible to conduct discussions that deepen experiential learning by searching for commonalities between this learning data and related past data and discussing lessons learned. As a result, it is possible to support discussions for deepening experiential learning even in the absence of a facilitator who is familiar with experiential learning.

In the present embodiment, the input experience learning data is an example of the first data. The past data is an example of the second data. The question generation unit 121 is an example of an acquisition unit. The past-related data selection unit 122 is an example of the selection unit.

Although the embodiments of the present invention have been described in detail above, the present invention is not limited to such specific embodiments, and various aspects are within the scope of the gist of the present invention described in the claims. It can be transformed and changed.

10 Experience learning support device 11 Input unit 12 Experience learning support sheet creation unit 13 Output unit 14 Data storage unit 100 Drive device 101 Recording medium 102 Auxiliary storage device 103 Memory device 104 CPU
105 Interface device 106 Display device 107 Input device 121 Question generation unit 122 Related past data selection unit B bus

Claims (8)

For each process of experiential learning, an input procedure for inputting first data including a description based on an experience, and
From the storage unit that stores the question in association with a specific expression for each process of empirical learning, for each of the above descriptions, among the specific expressions corresponding to the process related to the description, the specific expression not included in the description. The acquisition procedure to acquire the question corresponding to the expression, and
An output procedure that outputs each acquired question in correspondence with the above description,
A computer-based experience learning support method. The computer executes a selection procedure for selecting the second data corresponding to the experience similar to the first data from one or more second data each including a description for each process regarding the past experience. And
The output procedure further outputs the description contained in the selected second data.
The experiential learning support method according to claim 1, wherein the method is characterized by the above. The selection procedure corresponds to the similar experience with respect to the description included for each process in the second data, based on the commonality with the description included for each process in the first data. Select 2 data,
The experiential learning support method according to claim 2, characterized in that. The selection procedure evaluates the commonality by increasing the weight of terms used in fewer business phases among the terms included in the description.
The experiential learning support method according to claim 3, wherein the method is characterized by the above. Each of the first data and the second data includes a description indicating the skill to be acquired.
The selection procedure corresponds to the similar experience in the entry field indicating the skill to be acquired, depending on the number of the second data including the description substantially the same as the first data. Change data selection criteria,
The experiential learning support method according to any one of claims 2 to 4, characterized in that. For each process of empirical learning, an input unit for inputting first data including a description based on a certain experience,
From the storage unit that stores the question in association with a specific expression for each process of empirical learning, for each of the above descriptions, among the specific expressions corresponding to the process related to the description, the specific expression not included in the description. The acquisition department that acquires the question corresponding to the expression,
An output unit that outputs each acquired question in correspondence with the above description,
Experience learning support device with. Each has a selection unit that selects the second data corresponding to the experience similar to the first data from one or more second data including the description for each process regarding the past experience.
The output unit further outputs the description included in the selected second data.
The experiential learning support device according to claim 6, characterized in that. A program characterized in that a computer executes the experience learning support method according to any one of claims 1 to 5.

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