JP6832083B2 - Answer classification processing system, answer classification processing method, and answer classification processing program - Google Patents

Description

The present invention relates to an answer classification processing system for classifying the answers of a plurality of survey subjects to a question reflecting a survey item for investigating a tendency to understand learning items, an answer classification processing method, and an answer classification processing program.

Some of the academic ability tests are surveys conducted by the national or local governments, rather than determining the superiority or inferiority of the examinees, and the survey subjects' understanding tendency for specific learning items is investigated from various aspects and education is conducted. There is an academic ability survey that extracts issues. In such an academic ability survey, a comprehensive survey may be adopted by the national or local public bodies, in which case the number of subjects may be extremely large, for example, the scale may be 1 million or more. In addition, in the academic ability survey, in addition to judging the correctness of the answers of the survey subjects, the answers of the survey subjects are classified according to the understanding tendency of the learning items of the survey subjects. It is necessary to make sure that there is no variation. Therefore, an answer classification processing system as described in Patent Document 1 is used.

In the answer classification processing system of Patent Document 1, a check box sheet for classifying the answers is used. The check box sheet allows the worker to answer the alternative question and classify the answer according to the pattern of the answer result. In this answer classification processing system, in order to reduce the variation in the judgment of the worker, the question on the check box sheet is corrected as appropriate, and the classification work is continued with the corrected question.

Japanese Patent No. 5234543

However, in the answer classification processing system of Patent Document 1, if the question is corrected in the middle of the classification work, the judgment may vary before and after the correction. For this reason, it is necessary to review and reclassify all the classified answers from the beginning according to the content of the revised question, and in this respect, the classification work is inefficient. In particular, reviewing all the answers in a large-scale survey is an extremely difficult task, which reduces the work efficiency of the classification task.

The present invention has been made to solve the above problems, and an object of the present invention is an answer classification processing system, an answer classification processing method, and an answer classification that have made it possible to realize more efficient answer classification work. It is to provide a processing program.

The answer classification processing system that solves the above problems is an answer classification processing system that classifies the answers of a plurality of survey subjects to questions that reflect the survey items that investigate the understanding tendency of the survey subjects for the learning items according to the criteria. The criteria include a plurality of criteria composed of criteria for determining the survey item in an alternative manner, and the criteria include a first criterion for the survey item and a criterion related to the first criterion. An answer storage unit that stores answer data related to the answer, a criterion storage unit that stores the criterion, a judgment result storage unit that stores the judgment result for the criterion, and a main area, including a second criterion composed of As the criteria, a first check box for selecting the first criterion and the judgment for the first criterion is displayed, and a judgment for the second criterion and the second criterion is made in the sub-region for the main region. It is provided with a control unit that displays a second check box to be selected and stores the determination results in the first check box and the second check box in the determination result storage unit in association with the answer data.
The sub-region includes a criterion input unit capable of inputting an additional criterion having a content different from that of the first criterion and the second criterion, and the control unit inputs the additional criterion input to the criterion input unit to the criterion. The additional criterion and the additional check box for selecting the judgment for the additional criterion are additionally displayed in the sub-area, and the judgment result in the additional check box is associated with the answer data to store the judgment result. Make it memorize in the department.

According to the above configuration, when reviewing the judgment of the first criterion, the judgment of the first criterion can be reviewed only by extracting the answer with the judgment for the second criterion related to the first criterion. For example, the second refinement is a judgment standard in which a worker is confused, troubled, confused, or troubled when making a judgment on the first criterion in an alternative format. , A detailed version of the 1st Criterion. Such a second criterion has a property as a judgment standard for informing the manager that the operator has difficulty in the judgment when judging the first criterion. Therefore, the answer that has a judgment for the second criterion is an answer that varies when the worker makes a judgment for the first criterion. In the present invention, such an answer is extracted, and the judgment of the extracted answer for the first criterion is reviewed. This eliminates the need to review all of the answers, and in this respect, it is possible to improve the efficiency of the work of classifying the answers.
Further, since the Criterion input unit is provided in the sub area, an additional Criterion can be added in the middle of the classification work. Then, it is possible to judge the points that are uncertain or troubled with respect to the first cryterion and the second cryterion by the additional cryterion. Therefore, it is possible to extract an answer that has a judgment for the additional criterion and reconfirm the judgment for the first criterion. As a result, the number of answers to be reviewed can be reduced, and the efficiency of the answer classification work can be improved.

In the answer classification processing system, the control unit may display the sub area superimposed on the main area.
According to the above configuration, since the sub area in which the second criterion is displayed is displayed so as to be superimposed on the main area in which the first criterion is displayed, the second criterion associated with the first criterion can be easily seen. it can.

In the answer classification processing system, the sub-region includes a first region in which the second criterion and the second check box are displayed, and a second region in which the criterion input unit is displayed, and the control unit includes the control unit. , The additional criterion and an additional check box for selecting a judgment on the additional criterion may be additionally displayed in the second region.

In the answer classification processing system, the control unit may register the additional criteria as the second criteria.
According to the above configuration, by changing the additional Criterion to the 2nd Criterion, the 2nd Criterion which refines the 1st Criterion is added even after the classification work is started after the proposal from the worker and the examination by the manager. be able to.

Further, the present invention is an answer classification processing method executed by the answer classification processing system.
Further, the present invention is an answer classification processing program that realizes the answer classification processing system, is spread via a removable recording medium such as a network, an optical disk, or a memory card, is installed in a computer such as a server, and is executed.

According to the above configuration, it is possible to provide an answer classification processing system, an answer classification processing method, and an answer classification processing program that can realize the efficiency of the answer classification work.

(A) is a diagram showing the procedure for creating questions that reflect the survey items in the academic ability survey, and (B) is a diagram showing the relationship between the survey items and the criteria and criteria. (A) is a diagram showing a check pattern of a judgment example for a criterion, and (b) is a diagram showing a check pattern of a judgment result for a criterion in a survey subject's answer. The block diagram which shows the outline of the answer classification processing system of this embodiment. (A) is a diagram showing the questions in the academic ability survey, (b) is a diagram showing the first criteria in the question (a), and (c) is a diagram showing the second criteria provided below the first criteria. , (D) is a diagram showing the α-criterion added in the classification work. The figure which shows the answer type to a question. The figure which shows the screen composition used by the worker when performing a classification work. The figure which shows the state which the 2nd Criterion with respect to the 1st Criterion is displayed. The figure which shows the state which the 2nd Criterion is displayed for "no answer" of the 1st Criterion. The figure which shows the state which the 2nd Criterion is displayed for the "exception" of the 1st Criterion. The figure which shows the state which the sub region which enumerates the 3rd Criterion is further displayed in the lower layer of the 2nd Criterion. The figure which checked "ΔABM≡ΔACM" of the 1st Criterion, displayed the sub area which enumerates the 2nd Criterion, and shows the state which the judgment criterion was input to the Criterion input part. The figure which shows the state which "AM sharing, the two sides sandwiching angle are equal" was added as the αth Criterion. The figure which shows the state which "AM shared, the two sides sandwiching angle are equal" was added as the 2nd Criterion. The figure which shows the registration screen which registers the αth Criterion in the 2nd Criterion on the display part of the client terminal of an administrator. The figure which shows the screen which confirms the result of a typology judgment and the result of a correctness judgment.

Hereinafter, an embodiment in which the answer classification processing system and the answer classification processing method are embodied will be described with reference to FIGS. 1 to 15.
(Outline of academic ability survey)
As shown in Fig. 1 (a), when creating a question in the academic ability survey, first, among the learning items L (L1, L2, L3, L4 ...) That are required to be acquired in a predetermined grade. Select a predetermined learning item L from the above, and create a question Q that reflects the selected learning item L. Specifically, the survey item M for extracting the learning elements necessary for learning the learning item L, predicting the comprehension level of each learning element, and investigating the comprehension tendency of the learning item L from the learning elements ( M1, M2, M3, M4 ...) Are determined. For example, learning elements include addition, subtraction, multiplication, division, reading and writing kanji, word meaning, and grammar. The question text of question Q is created to include one or more selected survey items M. The survey subject answers question Q to answer A (A1, A2, A3, A4 ...).

As shown in FIG. 1 (a), the worker who evaluates the answers of the survey subjects' answers A (A1, A2, A3, A4 ...) And classifies them according to the understanding tendency of the learning items uses Criteria C. , Perform the answer classification work. As for the criterion C, the criteria CT (CT1, CT2, CT3, CT4) corresponding to the survey item M reflected in the question Q are listed. Criterion CT is a criterion for evaluating the answer described in Answer A to Question Q, and each Criterion CT (CT1, CT2, CT3, CT4) has a check box CB (CB1, CB2) for evaluating the answer. , CB3, CB4) are associated with each other. Each Criterion CT is an alternative criterion, and each check box CB is checked by the operator. Each judgment standard constituting the Criterion CT is a standard that gives the same judgment result if the worker is at a certain level, that is, the judgment of the worker is less discretionary. The check box CB associated with each Criterion CT may be configured as one box, and the boxes may be checked only when the conditions of the Criterion CT are satisfied. Further, it may be composed of two boxes, one box may be a box to be checked when the condition is satisfied, and the other box may be a box to be checked when the condition is not satisfied.

As shown in FIG. 2 (a), in the classification, an example answer E (E1, E2, E3, E4 ...) For the Criterion CT (CT1, CT2, CT3, CT4) corresponding to the survey item M is prepared in advance. Keep it. Each answer example E is created by predicting the answer regarding the survey item M in the survey subject's answer. Then, a plurality of prediction check patterns for the answer results for the survey items are prepared as answer example E. For example, the answer example E1 is defined as a type 1 in which all the check boxes CB1 to CB4 of the criteria CT1 to CT4 are checked, and the answer example 2 is set to the check boxes CB1, CB3, CB4 of the criteria CT1, CT3, CT4. It is defined as type 2 with a check mark.

As shown in FIG. 2 (a), the answers A1 to A4 of each survey subject are classified using the criteria C. For example, the answer A1 matches the answer example E1 in which all the check boxes CB1 to CB4 of the criteria CT1 to CT4 are checked, and is classified into the type 1. Answer A2 corresponds to answer example E3 in which the check boxes CB1, CB2, and CB4 of the criteria CT1, CT2, and CT4 are checked, and is classified into type 3. The comprehension tendency of the learning item L of the survey subject can be investigated by the number of the answers A classified into each type.

(Answer classification processing system)
As shown in FIG. 3, in the above academic ability survey, the answer classification processing system 1 used for classifying the answers has an answer classification processing server 10 that manages the answer classification work and a work that performs the answer classification work. It includes a plurality of client terminals 2 operated by a person, and a client terminal 3 operated by an administrator who manages the answer classification work. Then, the answer classification processing server 10 and the client terminals 2 and 3 are connected to each other via the network 4. The client terminals 2 and 3 are both information processing terminals such as desktop type and notebook type computer terminals, and are input units 2b such as a keyboard and a pointing device connected to the computer bodies 2a and 3a and the computer bodies 2a and 3a. , 3b and display units 2c, 3c such as a liquid crystal display panel connected to the computer main bodies 2a, 3a.

The answer classification processing server 10 is a computer system composed of hardware such as a CPU, ROM, RAM, and a large-capacity hard disk, and client terminals 2 and 3 are connected via a network 4. The answer classification processing server 10 includes an answer storage unit 11, an answer input unit 12, a criterion storage unit 13, an answer type storage unit 14, a determination result storage unit 15, and a control unit 16. The answer storage unit 11, the criterion storage unit 13, the answer type storage unit 14, and the determination result storage unit 15 are built on, for example, a large-capacity hard disk.

The answer storage unit 11 is a storage area for storing the answer of the survey subject, and the answer data composed of the image data of the answer A is stored in association with the identification data that uniquely identifies the answer A. Answer data is input to the answer storage unit 11 from the answer input unit 12. The answer input unit 12 is, for example, an image scanner, generates answer data from the image data of the read answer, adds identification data to the answer data, and stores it in the answer storage unit 11.

The Criterion storage unit 13 stores the elements of the Criterion CT corresponding to the survey item M listed in the Criteria C. Specifically, the Criterion includes a first Criterion relating to the survey items M1 to Mm and a second Criterion composed of detailed judgment criteria regarding the first Criterion. Further, it is provided with an α-criterion as an additional criterion composed of detailed criteria for the first criterion and the second criterion. The 1st Criterion, the 2nd Criterion, and the α-Criterion are all alternative judgment criteria, and if a worker is at a certain level, the same judgment result will be obtained, that is, regarding the judgment of the worker. It is a standard that reduces discretion. On the other hand, it is also difficult to create a judgment standard so that the judgments of all workers do not vary. The second criterion and the α-criterion are judgment criteria in which the worker is confused or troubled in making a judgment on the first criterion, points that may be troubled, and the like in an alternative format.

Specifically, the Criterion storage unit 13 stores the first Criterion, the second Criterion, and the α-Criterion in a hierarchically associated manner.

As shown in FIG. 4 (a), for example, the learning item L is set to "congruent condition of triangles", and the question Q is set to "BC of the perpendicular line drawn from the point A of the isosceles triangle ΔABC of AB = AC to BC". Let M be the intersection with and. Prove that BM = CM. ”Is described as an example. As shown in FIG. 4 (a), in this case, the first criteria are (a) to (f) corresponding to the survey items. The Criterion storage unit 13 stores the first Criterion as shown in FIGS. 4A and 4A.

As shown in FIG. 4 (c), for example, the second criterion related to the first criterion "(a) AB = AC" is "(a-1) there is no" from assumption "", "(a-2). = Is ≡ ”. That is, in the second criterion, items that are expected to be confused when the worker judges the first criterion "(a) AB = AC" are listed, and the point that the worker is confused in the judgment is managed. It is provided to tell people. That is, the second Criterion is a standard for refinement located below the first Criterion. Such a second Criterion may be provided in advance at the time of creating the first Criterion, or may be modified from the α-Criterion described below. Criterions such as (a-1) and (a-2) shown in FIG. 4 (c) are also hierarchically stored in the criterion storage unit 13.

Further, the α-Criterion related to the 1st Criterion and the 2nd Criterion has the content of "(a-α) = ga //". This is because the "=" symbol may appear as a "//" symbol due to noise or inclination of the image data, and the operator may be confused about the judgment. Such a third α-criterion does not exist from the beginning of the classification work, but is a criterion as a worker tag added by the worker because the worker is confused during the classification work. In other words, it is a standard for refinement located in the lower layer of the first Criterion. Then, the α-criterion is disclosed not only to the added worker's client terminal 2 but also to the client terminal 2 used by other workers and the administrator's client terminal 3. Therefore, other workers can also see the α-criterion, and when the α-criterion is applicable, the check box is also checked by the other worker. The criterion storage unit 13 also hierarchically stores the αth criterion as shown in FIG. 4 (d) (a-α).

As described above, the 2nd Criterion and the α-Criterion are items for the operator to inform the administrator that the judgment was difficult when judging the 1st Criterion, and check the 2nd Criterion and the α-Criterion. Some answers are those that may have variability in their judgment on the first criteria. By reviewing the judgment of the first criterion of the answer A in which the second criterion and the α-alpha criterion are checked, the number of the answer A that needs to be reviewed can be reduced.

As shown in FIG. 5, the answer type storage unit 14 stores the type of the answer to the question Q. Here, the types of "1" to "7", "9", and "0" are provided. The control unit 16 determines which type the two-choice determination result for the first criterion transmitted from the client terminal 2 of the worker corresponds to. For example, when all of the first check boxes CB1 of the first criteria (a) to (f) are checked, the control unit 16 determines that the correct answer is "⊚" and determines that the type is 1. Further, when only the first check box CB1 of (b) in (a) to (f) of the first criterion is not checked, it is not judged as a correct answer, but is judged as type 6. When the above-mentioned second criteria (a-1) and (a-2) are checked, the first check box CB1 of the first criteria (a) is checked, and the answer is once determined to be "◎". Although it is judged to be type 1, there is a possibility that it corresponds to the case of "insufficient expression" of type 2 depending on the subsequent judgment of the administrator.

The determination result storage unit 15 stores the first determination result for the first Criterion, the second determination result for the second Criterion, and the α determination result for the α Criterion.

Specifically, the first determination result is a check pattern of the first check box CB1 as a two-choice determination result for the first criterion (see FIG. 4A). This check pattern is associated with the identification data of the answer A and stored in the determination result storage unit 15.
The second determination result is a check pattern of the second check box CB2 as a two-choice determination result for the second criterion (see FIG. 4C). This check pattern is associated with the identification data of the answer A and stored in the determination result storage unit 15.
The α-th determination result is a check pattern of the α-check box CBα as a two-choice determination result for the α-criterion (see FIG. 4 (d)). This check pattern is associated with the identification data of the answer A and stored in the determination result storage unit 15.

The control unit 16 controls the overall operation of the answer classification processing server 10 and also controls communication with the client terminals 2 and 3. Specifically, the following processing is performed.
When the control unit 16 receives the transmission request of the answer A from the client terminal 2 of the worker, the control unit 16 reads the answer data to which the identification data is added from the answer storage unit 11 and transmits the answer data to the client terminal 2. At the same time, the control unit 16 transmits the criterion C to the client terminal 2. As shown in FIG. 6, on the display unit 2c of the client terminal 2, the answer data AD is displayed in the answer display area 21 on the left side, and the criterion C is displayed in the criterion display area 22 on the right side.

Criteria C has a main region 23, and the first criteria (a) to (f), (0), (X) are listed in the main region 23. Further, the first check box CB1 is associated with each of the first criteria (a) to (f), (0), and (X). Further, in the main area 23, a determination button 24 for transmitting the determination result for the criterion C to the answer classification processing server 10 and a cancel button 25 for canceling the check operation of the answer during the classification work are displayed.

In the client terminal 2, the worker performs an input operation of checking the first check box CB1 using the input unit 2b while looking at the answer data AD displayed on the display unit 2c.

As shown in FIG. 7, the second criterions (a-1) and (a-2) are associated with the lower layer of the first criterion (a). For example, when the first check box CB1 of the first criterion (a) is checked by the input unit 2b, the sub area 26 is displayed so as to overlap the main area 23. The sub-region 26 includes a first region 26a and a second region 26b, and the second regions (a-1) and (a-2) are listed in the first region 26a. The second criteria (a-1) and (a-2) here are criteria for refining the first criteria (a), and there is no "(a-1)" from assumption ". , "(A-2) = is ≡". Depending on the worker, even if "AB = AC" is described, there is no description of "from the assumption" and it may be difficult to judge, or "=" and "≡" are the number of "-". This is because there is only one difference, and it may be difficult to judge whether it is an error or not. The second check box CB2 is also associated with the second criteria (a-1) and (a-2).

Further, the α-criterion (a-α) as a worker tag is displayed in the second region 26b, and the α-check box CBα is also associated with the α-criterion (a-α). The αth Criterion is an additional Criterion added by the operator, and the αth check box CBα for the αth Criterion is an additional check box. Further, the second region 26b is provided with a criterion input unit 27 for inputting the α-criterion. Text data to be the α-criterion can be input to the criterion input unit 27. Further, an additional button 27a, a registration button 28, and a cancel button 29 are provided at positions adjacent to the Criterion input unit 27. When the add button 27a is pressed, the determination criterion input to the criterion input unit 27 is displayed in the second region 26b as the α-criterion, and the α check box CBα is displayed corresponding to the α-criterion. When the registration button 28 is pressed, the check patterns of the second check box CB2 corresponding to the second criterion and the α check box CBα corresponding to the α-criterion displayed in the sub-region 26 can be confirmed.

FIG. 8 is a diagram showing a screen when "no answer" of the first criterion (0) is checked. In this case, in the sub-region 26, the second criterion (0-1) “I am at a loss as to whether it is blank” is displayed, and the second check box CB2 is displayed.

FIG. 9 is a diagram showing a screen when the “exception” of the first Criterion (X) is checked. In this case, in the sub-region 26, the second criteria (X-1) "should be reported", (X-2) "foreign language / dialect", (X-3) "margin confirmation" which refined the "exception" , (X-4) "Other exceptions" are displayed, and the second check box CB2 is displayed.

FIG. 10 shows a state in which a sub-region 30 enumerating the third criterion (a-2-1) is further displayed in the lower layer of the second criterion (a-2). When "= is ≡" is checked in the second criterion (a-2) of the first sub-region 26, the sub-region 30 is further displayed, and the third criterion (a-2-1) is displayed in the sub-region 30. ) Is displayed. Then, the third check box CB3 is displayed corresponding to the third criterion (a-2-1). Here, "= or ≡ or unclear" is displayed as the third criterion (a-2-1). Depending on the worker, the "=" symbol and the "≡" symbol differ only in the number of "-" by one, and are unclear, and it is difficult to distinguish between two and three "-". This is because there are cases. A registration button 28 and a cancel button 29 are also provided in the sub area 30, and when the registration button 28 is pressed, a third criterion (a-2-1) corresponding to the third criterion (a-2-1) displayed in the sub area 30 is provided. 3 Check box The check pattern of CB3 can be confirmed. The configuration of the sub-region 30 is the same as the configuration of the sub-region 26 described above, and details will be omitted.

FIG. 11 is a diagram showing a screen when “ΔABM≡ΔACM” of the first criterion (e) is checked. In this case, in the sub-region 26, the second criterion (e-1) "" the corners of one side and both ends are equal ", which is one of the congruent conditions of the triangles that refine the first criterion (e), is insufficient. Is displayed, and the second check box CB2 is displayed corresponding to the second criterion (e-1). Further, when one of the congruent conditions of triangles, "AM sharing, two-sided angle is equal" is described in a certain answer A, "AM sharing, two-sided angle is equal" is described in the Criterion input unit 27. Can be entered.

As shown in FIG. 12, when the additional button 27a is pressed, the α-criterion (e−α) input to the Criterion input unit 27 is displayed in the second region 26b, and the α-criterion (e−α) is displayed. The αth check box CBα is displayed corresponding to.
The process of adding the α-criterion can also be performed on the administrator's client terminal 3.

A similar screen can be viewed on the display unit 3c on the administrator's client terminal 3. As shown in FIG. 13, in the client terminal 3, the α-criterion (e−α) can be changed and registered to the second criterion (e-2).
FIG. 14 is a registration screen displayed on the display unit 3c. On this screen, the second criteria are listed, and the "true" flag is set for those adopted for the second criteria, and the "false" flag is set for those not adopted. Further, this screen includes a registration button 31 and a cancel button 32. To change the "AM sharing, equal two-sided angle" of the α-criterion (e-α) to the second criterion, change the adoption flag from "false" to "true" and press the registration button 31. Can be changed. As a result, as shown in FIG. 13, in the display unit 2c of the client terminal 2 of the worker, the second criteria (e-1) and (e-2) are listed in the first area 26a of the sub area 26 and are in an easy-to-see state. It becomes.

When the determination button 24 in the main area 23 is clicked, the client terminal 2 transmits the determination result for the criterion C to the answer classification processing server 10. Then, the control unit 16 of the answer classification processing server 10 corresponds to any type of the answer type for the question Q stored in the answer type storage unit 14 for the answer to the question Q of the survey subject based on the pattern of the judgment result. Judge whether to do it and judge the correctness of the answer. Then, the control unit 16 transmits the result of the correctness determination and the result of the type determination to the client terminal 2. The worker can confirm the type of the answer A scored by himself and the result of the correctness judgment.

FIG. 15 shows a screen for confirming the result of the typology determination and the result of the correctness determination. On this screen, the result of the typology determination and the result box 33 of the correctness determination are displayed. Further, this screen includes a registration button 34 and a cancel button 35. When the worker confirms the result of the type determination and the result of the correctness determination and there is no correction, when the registration button 34 is pressed, the client terminal 2 transmits a confirmation signal to the answer classification processing server 10. Upon receiving the confirmation signal, the control unit 16 stores the determination result of each criterion in the determination result storage unit 15 together with the type of the answer A. The control unit 16 calculates the number of answers A classified into each type, the ratio of each type to the total number of answers (called a type distribution), the correct answer rate, and the like, so that the manager can learn the learning item L of the survey subject. You can investigate the understanding tendency of.

According to the above embodiment, the effects listed below can be obtained.
(1) The control unit 16 calculates the ratio (called the type distribution) and the correct answer rate for each of the answer types shown in FIG. 5 of the answer A, so that the manager can determine the understanding tendency of the survey target person for the learning item L. Can be investigated.

(2) In the client terminal 2, the main area 23 includes the first criteria (a) to (f), (0), (X) and the first criteria (a) to (f), (0) as the criteria C. ), The first check box CB1 for selecting the judgment for (X) is displayed. Along with this, the sub-region 26 contains a second check box CB2 for selecting a judgment for the second criteria (a-1), (a-2) and the second criteria (a-1), (a-2). Is displayed. When determining the first criteria, the worker can determine points that he / she is uncertain about in the second criteria. Therefore, for example, it is possible to extract only the answer A that has a judgment on the second criterion and reconfirm the judgment on the first criterion. As a result, the number of answer A to be reviewed can be reduced, and the efficiency of the classification work of answer A can be improved.

(3) Since the sub area 26 in which the second criterion is displayed is displayed so as to be superimposed on the main area 23 in which the first criterion is displayed, the second criterion related to the first criterion can be easily seen. ..

(4) Since the Criterion input unit 27 is provided in the sub-region 26, the α-Criterion can be added in the middle of the classification work. Then, the α-criterion can be used to determine points that are uncertain about the first or second criteria. Therefore, for example, it is possible to extract only the answer A that has a judgment on the first criterion and reconfirm the judgment on the first criterion. As a result, the number of answer A to be reviewed can be reduced, and the efficiency of the classification work of answer A can be improved.
(5) By changing the α-criterion to the second criterion, it is possible to add the criterion even after the classification work is started, after the worker's proposal and the manager's examination.

The above embodiment can be modified as appropriate and implemented as follows.
-If the α-Criterion does not streamline the classification work, the process of registering the α-Criterion in the 2nd Criterion may be omitted.

-When the content of the second criterion can be sufficiently predicted, the function of adding the α-criterion may be omitted.
-The sub-area in which the second criterion is displayed does not have to overlap with the main area in which the first criterion is displayed. As an example, the main area and the sub area may be separated. As an example, the main area may be displayed in the first window and the sub area may be displayed in the second window. As an example, the main area may be displayed in the first frame and the sub area may be displayed in the second frame.

-Although the 1st Criterion, the 2nd Criterion, and the 3rd Criterion are provided hierarchically, the number of layers is not limited, and as an example, the number of layers is increased, and the 4th Criterion and the 3rd Criterion are hierarchically provided. 5 Criterions ... may be provided.

-The second criteria may be provided hierarchically for all of the plurality of first criteria, or the second criteria may be provided for some of the plurality of first criteria. Further, the number of the first criterion, the second criterion, and the third criterion is not limited to the above example.

1 ... Answer classification processing system, 2 ... Client terminal, 2a ... Computer body, 2b ... Input unit, 2c ... Display unit, 3 ... Client terminal, 3a ... Computer body, 3b ... Input unit, 3c ... Display unit, 4 ... Network 10, ... Answer classification processing server, 11 ... Answer storage unit, 12 ... Answer input unit, 13 ... Criterion storage unit, 14 ... Answer type storage unit, 15 ... Judgment result storage unit, 16 ... Control unit, 21 ... Answer display area , 22 ... Criteria display area, 23 ... Main area, 24 ... Judgment button, 25 ... Cancel button, 26 ... Sub area, 26a ... First area, 26b ... Second area, 27 ... Criterion input section, 27a ... Add button, 28 ... Registration button, 29 ... Cancel button, 30 ... Sub area, 31 ... Registration button, 32 ... Cancel button, 33 ... Result box, 34 ... Registration button, 35 ... Cancel button.

Claims (6)

It is an answer classification processing system that classifies the answers of multiple survey subjects to questions that reflect the survey items that investigate the understanding tendency of the survey subjects to the learning items according to the criteria.
The criteria include a plurality of criteria composed of criteria for determining the survey items in an alternative manner.
The Criterion includes a first Criterion for the survey item and a second Criterion composed of criteria related to the first Criterion.
An answer storage unit that stores answer data related to the answer,
A Criterion storage unit that stores the Criterion,
A judgment result storage unit that stores the judgment result for the Criterion,
A first check box for selecting a judgment for the first criterion and the first criterion is displayed in the main region as the criteria, and a sub-region for the main region is used for the second criterion and the second criterion. It is provided with a control unit that displays a second check box for selecting a judgment, and stores the judgment results in the first check box and the second check box in the judgment result storage unit in association with the answer data.
The sub-region includes a criteria input unit capable of inputting additional criteria having different contents from the first criteria and the second criteria.
The control unit stores the additional Criterion input to the Criterion input unit in the Criterion storage unit, and stores the additional Criterion.
The additional criteria and additional check boxes for selecting judgments for the additional criteria are additionally displayed in the sub-area.
An answer classification processing system that associates the judgment result of the additional check box with the answer data and stores it in the judgment result storage unit. The answer classification processing system according to claim 1, wherein the control unit superimposes the sub area on the main area and displays the sub area. The sub-region includes a first region in which the second criterion and the second check box are displayed, and a second region in which the criterion input unit is displayed.
Wherein, the in the second region, the answer classification processing system according to claim 1 or 2 is additionally displayed and the additional check box for selecting the decision on the additional criterion and the additional criterion. The answer classification processing system according to any one of claims 1 to 3, wherein the control unit registers the additional criteria as the second criteria. This is an answer classification processing method that classifies the answers of multiple survey subjects to questions that reflect the survey items that investigate the tendency of the survey subjects to understand the learning items according to the criteria.
The criteria include a plurality of criteria composed of criteria for determining the survey items in an alternative manner.
The Criterion includes a first Criterion for the survey item and a second Criterion composed of criteria related to the first Criterion.
The control unit stores the answer data related to the answer in the answer storage unit,
The control unit stores the Criterion in the Criterion storage unit,
The control unit stores the judgment result for the criterion in the judgment result storage unit,
The control unit displays in the main area, as the criteria, the first criterion and the first check box for selecting the judgment for the first criterion.
The control unit displays the second criterion and the second check box for selecting the judgment for the second criterion in the sub-region with respect to the main region.
The control unit associates the judgment results of the first check box and the second check box with the answer data and stores them in the judgment result storage unit.
further,
In the sub-region, the control unit displays a criterion input unit capable of inputting an additional criterion having a content different from that of the first criterion and the second criterion.
The control unit stores the additional Criterion input to the Criterion input unit in the Criterion storage unit.
The control unit additionally displays the additional criteria and an additional check box for selecting a judgment on the additional criteria in the sub-region.
An answer classification processing method in which the control unit associates the judgment result of the additional check box with the answer data and stores it in the judgment result storage unit. It is an answer classification processing program that classifies the answers of multiple survey subjects to questions that reflect the survey items that investigate the understanding tendency of the survey subjects to the learning items according to the criteria.
The criteria include a plurality of criteria composed of criteria for determining the survey items in an alternative manner.
The Criterion includes a first Criterion for the survey item and a second Criterion composed of criteria related to the first Criterion.
Computer,
A means for storing answer data related to the answer in the answer storage unit,
A means for storing the Criterion in the Criterion storage unit,
A means for storing the judgment result for the Criterion in the judgment result storage unit,
In the main area, as the criteria, the first criterion and the first check box for selecting the judgment for the first criterion are displayed, and in the sub-region for the main region, the second criterion and the second criterion are displayed. A means to display a second check box for selecting a judgment, and
The judgment results of the first check box and the second check box are associated with the answer data and function as a means to be stored in the judgment result storage unit.
further,
In the sub-region, means for displaying a criterion input unit capable of inputting an additional criterion having a content different from that of the first criterion and the second criterion.
A means for storing the additional Criterion input to the Criterion input unit in the Criterion storage unit, and
A means for additionally displaying the additional criteria and an additional check box for selecting a judgment on the additional criteria in the sub-region.
An answer classification processing program characterized in that the judgment result of the additional check box is associated with the answer data and functions as a means for storing the judgment result storage unit.