JP6489723B1 - Learning support apparatus, method, and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technology for presenting to a learner the amount and quality of study necessary to achieve a goal set by the learner. SOLUTION: An apparatus 1 for supporting learning of a learner, and problem information storing means 11 for storing question information given to a learner and difficulty level for each question, problem for each learner Among the problems stored in the information storage means, problem identification information identifying the problem learned by the learner, the learning time of the problem, and history information storage for storing as the history information whether the learner answered correctly or not The difficulty of the problem learned by the learner with reference to the means 14 and the history information stored in the history information storage means, the number of problems and the correct answer rate of the learner working on the learning, or the number of problems correct for the learner And analysis processing means 18 for calculating and outputting the quality of learning represented on the basis of the degree of difficulty of the problem. [Selected figure] Figure 1

Description

  The present invention relates to a technique for presenting to a learner the amount and quality of study necessary to achieve a goal set by the learner.

  Conventionally, in learning materials, there are collection of questions based on vague criteria without base such as developmental problems, standard problems and basic problems. Also, various ICT materials are provided, but as with the above problem collection, there are a lot of teaching material contents of vague frameworks without grounds such as development problems, standard problems and basic problems. There are many cases in which the learners' accounts are compared with each other in terms of quantity and time, and rankings are simply presented, and the wins and losses are displayed as a total result.

  In this point, for example, in Patent Document 1, the problem storage means stores a problem, the correct answer to the problem, the degree of difficulty of the problem, and instruction information used when teaching the problem to the learner; Question presenting means for sequentially presenting the question to the learner, answer acceptance means for accepting an answer input by the learner with respect to the question presented by the question presenting means, and the answer accepting means A correctness result for the correctness result acquisition means for comparing an answer with the correct answer for the presented question stored in the question storage means and acquiring a correctness result, and for the question sequentially presented by the question presentation means A solution for storing in chronological order an answer result in which the correctness result acquired by the acquisition means and the difficulty degree stored in the question storage means in association with the problem corresponding to the correctness result According to a result storage means, a guidance judgment means for judging whether or not the teaching of the presented question is necessary based on time-series answer results stored in the answer result storage means, and the guidance judgment means Support means for providing, to the learner, the guidance information stored in association with the presented problem in the problem storage means, when it is determined that the instruction is necessary. An apparatus has been proposed.

JP, 2013-61483, A

However, conventionally, the problem amount is accumulated as the number of problems simply digested, and the achievement rate has a certain meaning as a learner individual, but even if different learners are compared, it is different The comparison was meaningless because we could work on it.

  Therefore, it is an object of the present invention to provide a mechanism that makes it possible to grasp the quality of learning, and to increase the learning plan and motivation to learners according to this.

  In order to achieve the above object, a learning support apparatus according to one aspect of the present invention is an apparatus for supporting a learner's learning, and includes problem information to be asked of the learner and difficulty of each problem Problem information storage means for storing the degree, problem identification information for identifying the problem learned by the learner among the problems stored in the problem information storage means for each learner, the learning time of the problem, Refers to history information storage means for storing as history information whether the learner has made a correct answer, and the history information stored in the history information storage means to learn the degree of difficulty of the problem learned by the learner Analysis processing means for calculating and outputting the quality of learning represented on the basis of the number of problems dealt with and the correct answer rate of the learner or the number of problems answered correctly by the learner and the difficulty of the problem It is characterized by

  The learner information storage means capable of storing the field and job type of the destination or place of employment in relation to the personal information of the learner, and the analysis processing means refer to the learner information storage means The past learner corresponding to the desired field or desired job type of the learner may be specified as a successful person, and the learning quality of the successful person may be further calculated and output with reference to the history information storage means.

  The analysis processing means may superimpose and display the quality of learning of the learner and the quality of learning of the successful person on the same screen.

  The analysis processing means may calculate the quality of learning at each time of the learning.

  The analysis processing means may predict and output the quality of learning of a future learner based on the history information of the learner.

  The analysis processing means may superimpose and display the predicted quality of future learning of the learner and the learning history of the successful person.

  The above analysis processing means calculates the quality of learning for each field and job type of the destination and the place of employment on the basis of the learning history of the successful person for each job type and the field of the destination and place of employment. Based on the quality, compared with the above-mentioned advance destination, field of work place, and quality of learning of successful people for each job type, identify and output the field or job type of advance destination, work place that matches the above learner It is also good.

  The difficulty of the above problem may be calculated based on the correct answer rate of the learner to the above problem

A learning support method according to one aspect of the present invention is a method performed by a computer having problem information to be presented to a learner and problem information storage means for storing the difficulty level for each problem. Among the problems stored in the problem information storage means by the computer, the problem identification information identifying the problem learned by the learner, the learning time of the problem, and the correct answer by the learner The process of storing the history information as the history information in the history information storage means and the history information stored in the history information storage means, the difficulty level of the problem learned by the learner and the number of problems dealt with the learning And processing for calculating and outputting the quality of learning represented on the basis of the correct answer rate or the number of questions correctly answered by the learner and the degree of difficulty of the questions.

  The computer has a learner information storage means capable of storing the field and job type of the destination or place of employment in relation to the personal information of the learner, and the computer refers to the learner information storage means. The past learner who corresponds to the desired field or desired job type of the learner is specified as a successful person, and the process of further calculating and outputting the quality of learning of the successful person is further performed with reference to the history information storage means. May be

  According to one aspect of the present invention, a computer according to one aspect of the present invention is provided for each learner with respect to a computer having question information to be presented to the learner and question information storage means for storing the difficulty level for each question. Among the problems stored in the problem information storage means, problem identification information for identifying the problem learned by the learner, the learning time of the problem, and history information storage as history information as to whether or not the learner answered correctly Refers to the process stored in the means and the history information stored in the history information storage means, the difficulty number of the problem learned by the learner, the number of questions dealt with the learning and the correct answer rate or the learner correct It is characterized in that it performs processing of calculating and outputting the quality of learning represented based on the number of problems and the degree of difficulty of the problems.

  The computer has a learner information storage means capable of storing the field and job type of the destination or place of employment in relation to the personal information of the learner, and the computer refers to the learner information storage means. The past learner who corresponds to the desired field or desired job type of the learner is specified as a successful person, and the process of further calculating and outputting the quality of learning of the successful person is further performed with reference to the history information storage means. You may

  Also, the above computer program may be recorded on a computer readable medium.

  According to the present invention, it is possible to grasp the quality of learning, and it is possible to enhance the learning plan and the motivation for the learner according to this.

It is a functional block diagram showing a function of a learning support device concerning this embodiment. FIG. 4 is a diagram showing an example of information stored in a problem information storage unit according to the present embodiment. The figure which showed the example of the information memorize | stored in the learner information storage part concerning this embodiment. The figure which showed the example of the difficulty level table concerning this embodiment. FIG. 5 is a diagram showing an example of information stored in a history information storage unit according to the present embodiment. A processing flow of problem registration processing concerning this embodiment. The processing flow of the question answering process concerning this embodiment. The processing flow of history analysis processing concerning this embodiment. An example which showed the answer input screen concerning this embodiment. An example of the screen which showed the analysis processing result concerning this embodiment.

Hereinafter, a learning support apparatus according to an embodiment of the present invention will be described with reference to the drawings.
As shown in FIG. 1, the learning support apparatus 1 according to the present embodiment is an apparatus for supporting learning according to the level of a learner, and communicates with a plurality of learner terminals 2 via a network NW such as the Internet. It is configured to be possible.
In addition to the above, the learning support apparatus 1 may be configured to be communicable with an instructor terminal or the like used by an instructor who guides a learner (not shown).

The learning support apparatus 1 is realized by a so-called personal computer or the like, and includes hardware resources such as a central processing unit (CPU), a random access memory (RAM), a read only memory (ROM), a hard disk drive, and a computer program executed by the CPU. Depending on software resources
Function unit consisting of problem information storage unit 11, learner information storage unit 12, difficulty level table 13, history information storage unit 14, learning information processing unit 15, problem information processing unit 16, history acquisition information unit 17, analysis processing unit 18 Configure
The learning support apparatus 1 may be configured by a cloud computing system.

The problem information storage unit 11 is a storage unit in which information on a problem that a learner learns is stored.
As shown in FIG. 2, the problem information storage unit 11 can store a problem number (No.), a problem, a unit of the problem, a correct answer of the problem, and a difficulty level.
This difficulty level is set, for example, for each correct answer rate divided into stages, as in the difficulty level table of FIG. 4. In this example, for example, a problem with a correct answer rate of 0-10% is set to a difficulty level of "10", and a problem with a correct answer rate of 11-20% is set to a difficulty level of "9". The difficulty level of the problem information storage unit 11 may be set to a deviation value for each difficulty level in order to initially set the level of the learner in advance. By this, when starting learning, it becomes possible to set the degree of difficulty of the problem to be learned by the learner from the deviation value of the learner.

  Here, the questions given to the learner can be configured by the questions given in the mock exam and the questions arbitrarily created by a given questioner. The problem of the simulation is that the problem is directly input from an input unit separately provided in the learning support apparatus 1 or obtained from a terminal or the like configured to be communicable via the network NW.

The learner information storage unit 12 is a storage unit that stores information related to the learner.
For example, as shown in FIG. 3, in the learner information storage unit 12, for each learner, both the learner ID, personal information such as the name, etc., target information set by the learner, and the current learning of the learner The levels are stored in association with each other.
Here, the learning level of the learner is set based on the deviation value of the mock test received by the learner. For example, each time a mock test is performed, the type and timing of the mock test received by the learner may be selected and set to a level according to the deviation value of the learner in the mock test.
The target information is, for example, the school to which the student is to go and the future occupation. Specifically, it may be set at a school such as ○ University Medical School or a profession like a veterinarian.
In addition, the learner information storage unit 12 may further include educational information and course information indicating the learner's past educational background. The course information may include information such as the company or job type in which you got a job after graduation.
In addition, the instructor or the learner can input information about the learner, such as the type and timing of the mock exam received by the learner, the deviation value of the learner, target information, educational background information, course information, and the like.

The difficulty level setting table 13 is a table serving as a reference for setting the difficulty level according to the correct answer rate for each question.
For example, as shown in FIG. 4, in the difficulty level setting table 13, the difficulty level is set for each correct answer rate divided into stages. In the example of FIG. 4, for example, the problem with the correct answer rate of 0-10% is set to the difficulty level “10”, and the problem with the correct answer rate of 11% to 20% is the difficulty level “9”. In this way, it is possible to easily determine whether the problem was at the student's level when learning by comparing the 10 levels of difficulty for each question and the 10 levels of learning level based on the deviation value of the learner. Can.
Further, in the difficulty level setting table, deviation values are set for the respective difficulty levels in order to first set the level of the learner in advance. By this, when starting learning, it is possible to set the degree of difficulty of the problem to be learned by the learner from the deviation value of the learner.

The correct answer rate may be able to grasp what the correct answer rate was at a predetermined time.
When the question is constituted by a mock exam question, the time associated with the correct reply rate of the question is the time to execute the mock exam. For example, if the mock exam is conducted in "May", the correct answer rate for the questions given in this mock exam is in "May". In addition, since the time linked to the mock exam question is basically the time to carry out the mock exam, there is no information related to the correct answer rate at any time other than the test practice time, but based on the information etc. The correct answer rate can also be set.
In addition, when the question is configured by an arbitrary question arbitrarily created by a given questioner, since the question does not have a correct answer rate, only the difficulty level for each question is set for each question by the questioner. Be done.

The history information storage unit 14 is a storage unit that stores history information of learners who have answered a problem in the past. As shown in FIG. 5, the history information storage unit 14 stores learner's answer history information etc. in association with the learner ID.
The answer history information includes information identifying a learner who answered the question (such as a learner ID), information identifying a question answered (such as a question ID), the difficulty of the question, and whether the answer is correct or incorrect. It includes information such as problem units, answer times, and study time zones for learners.

The learning information processing unit 15 performs processing such as providing problem information to the learner, and determining the correct answer / incorrect answer.

The problem information processing unit 16 performs processing for registering a mock exam question or an arbitrary question arbitrarily created by a predetermined questioner in the question information storage unit 11 at an arbitrary timing as a question to be asked of the learner. .
For example, in the case of the mock exam, the question information processing unit 16 registers the correct answer rate of the mock exam question, the deviation value, and information related to the implementation time of the mock exam, and the correct answer rate is registered as the correct answer rate at the implementation time of the mock exam. Do.
Thereafter, the question information processing unit 16 calculates deviation values when all the questions of each difficulty level are correct. The same operation is performed in a plurality of mock tests to calculate an average value, and a deviation value for each difficulty level (in this example, 10 levels of each degree of difficulty) is determined based on the difficulty level table in FIG. In addition, depending on the characteristics of each subject, the deviation value of each level of difficulty may be different for each subject, grade, and the like.
In addition, the correct answer rate or the degree of difficulty other than the implementation time of the mock exam can be set arbitrarily. In the case of an arbitrary question, information on the correct answer for the arbitrary question and the difficulty of the arbitrary question is registered. The difficulty level can be set arbitrarily by the questioner at predetermined intervals, for example, monthly. As a result, the degree of difficulty for each optional question is also set.

The history information acquisition unit 17 performs a process of acquiring the history information learned by the learner on the learner terminal 2 and storing the acquired history information in the history information storage unit 14.

The analysis processing unit 18 analyzes the “quality of learning” of the learner from the learner's learning history.
Further, the analysis processing unit 18 calculates a deviation between the quality of learning of the learner and the target set in the target information, and performs processing of displaying and calculating this as a graph or the like.

The analysis of the quality of learning can be performed, for example, by the analysis processing unit executing the following calculation.
(Degree of difficulty x number of questions) + (degree of difficulty x number of questions) + (degree of difficulty x number of questions) ... = quality of learning For example, if the degree of difficulty is 10 stages, learning 4 stages of questions with 10 correct questions The quality of learning is “40”, and the quality of learning will be “40” if eight questions on the 5 steps are correctly answered. In addition, the quality of learning will be "16" if two questions in the eight-step problem are correct, and "16" if eight questions in the two-step problem are correct. This makes it possible to analyze and visualize not only the amount and time of learning but also the quality of learning.

Further, the analysis processing unit 18 determines from the quality of learning, “high school group predicted from current learning history”, “college group predicted from current learning history”, “desired predicted from current learning history” Analyze job categories in the field etc.
Further, the analysis processing unit 18 calculates and displays a degree of achievement representing the degree of achievement of the learner in comparison with the quality of learning of the past achiever stored in the history information storage unit 14.

The learner terminal 2 is a terminal that is used by a learner who solves a question that has been given a question and receives guidance from a leader.
This learner's terminal 2 is realized by a so-called personal computer, tablet terminal or the like, and data output means such as a display, input means such as a mouse or a stylus, or input / output means integrated with input / output such as a touch panel A communication processing unit such as a browser program for transmitting and receiving data to and from the learning support apparatus 1 and the like via the network NW is provided.

A flow of processing by the learning support device 1 according to the present embodiment will be described with reference to the drawings.
First, the flow of processing when registration of a problem and setting of the degree of difficulty are performed in the learning support device 1 will be described.
In FIG. 6, the problem information processing unit 16 receives the reception or registration of predetermined problem information (S101). In this process, the problem data may be acquired from an external problem database or the like, or the learning support apparatus 1 may receive the input of the problem data.

The registered problem data is stored in the problem information storage unit 12 as a part of the information constituting the problem by the problem information processing unit 16 (S102).
In response to this, the problem information processing unit 16 refers to the difficulty level setting table 13 of FIG. 4 to determine the degree of difficulty according to the correct answer rate in the mock test for each question (S103). Note that the difficulty level may be registered as appropriate on the operation side for problems that are not adopted in the mock exam and the like.
Then, the determined difficulty level is associated with each question and registered in the question information storage unit 11 (S104), and the question registration process is ended.

Next, a process in which a learner learns by the learning support apparatus 1 according to the present embodiment and accumulates history information will be described with reference to FIG.
The name, date of birth, desired field, desired job type and the like are registered in advance as learner information in the learner information storage unit 12. Here, the desired field may be a school or company to which you wish to go to school.
Also, information about the learner can be input by the instructor or the learner.

Referring to FIG. 7, the learning information processing unit 15 extracts a problem with reference to the problem information storage unit 11 (S201).
The information related to the extracted problem is transmitted to the learner terminal 2 (S202).
Here, an example of a screen on which a problem is displayed on the learner terminal 2 is shown in FIG.
In this example, the questions are displayed in the question display column 101, and for each question, the difficulty level at the time indicated in the time display column 102 and the time display column 102 indicating the time associated with the difficulty is further displayed. The degree of difficulty display column 103 may be displayed in association with each other.
Further, in the present example, the current time is displayed in the time display column 102, so that the learner can easily grasp the degree of difficulty of the corresponding problem at this time. It may be possible.

The learner inputs an answer to the question given the question in the learner terminal 2, and transmits information related to the answer to the learning support device 1 (S203).
The information on the answer may be input and transmitted in a predetermined answer input field provided on the screen, or may be input and transmitted from a separate answer input form. Good.

When an answer is received from the learner terminal 1, the learning information processing unit 15 refers to the question information storage unit 1 to determine whether the answer is correct (S204).
The answer and the determination result of correctness or not are associated with the information of the learner and registered in the history information storage unit 14 (S205). In this case, a learning time such as a learned time (from 6 to 7 pm) and the like are also stored in the history information storage unit 14.
Then, the learning process is repeated a predetermined number of times, and the learning process is ended.

Next, analysis processing will be described with reference to FIG.
When the learner selects the process of “history analysis” on the screen of the learning terminal 2, the analysis processing unit 18 refers to the history information storage unit 14 to obtain the desired job type registered by the learner. The learning history information of the accomplished person is extracted (S301).
For example, when the learner registers “pharmacist” as a desired job type, a learning history in which past learners (achievers) who have already taken “pharmacist” have been in the past is extracted.
If there are a plurality of achievers, learning histories of all of them may be extracted and the average value thereof may be taken. Alternatively, the learner may select a target achiever from among a plurality of achievers.
In addition, in selecting the desired job type etc., the learner may input not only the desired job type registered by the learner but also the desired job type and the desired field each time.

And about the achievement person, the quality of learning of the achievement person and the learner in a predetermined period is computed (S302).
The predetermined period indicates, for example, the current age of the learner. For example, if the learner is 10 years old, the achievement person will extract the corresponding history information at the age of 10 years.

Here, the term "quality of learning" refers to the number of difficulty problems, the number of problems solved (the amount of learning), and the number of correct answers.
For example, in the case where three questions of the difficulty level 8 and four questions of the difficulty level 7 are respectively correctly answered, they can be expressed as “8 × 3 = 24” and “7 × 4 = 28”.
As another example, instead of the number of correct questions, the number of questions that the learner worked on may be multiplied by the individual's correct answer rate. In this case, for example, in the above-described example, learning is performed as “degree of difficulty 8 × 3 × personal correct answer rate 60% = 14.4” and “degree of difficulty 7 × 4 × 70% personal correct answer rate = 19.6”. It can also represent quality.

  When the “quality of learning” of the achiever and the “quality of learning” of the learner are calculated, the analysis processing unit 18 calculates the degree of achievement of the learner (S303).

  Then, the analysis processing unit 18 superimposes the “quality of learning” of the achiever and the learner, which are the calculation results, and displays and outputs the same on the same screen (S304)

This example is shown in FIG. In the graph on the left side of FIG. 10, the vertical axis represents the degree of difficulty 201 and the correct answer rate 202, and the horizontal axis represents the number of correct questions, and the curve (A) represents the learner's learning log, curve (A ) Shows the graph of the learner's learning log, which are shown superimposed on each other, and the degree of achievement is displayed at the bottom of the screen. In this example, it is based on the learning log for the past one month.

The degree of achievement can be calculated by, for example, the analysis processing unit 18 calculating the “quality of learning” of the learner / the “quality of learning” of the achiever. In the above example, when the average quality of learners is 32 and the average quality of learners is 80, the percentage of achievement is expressed as 32/80 = 0.4 (40%) Become.

As described above, generally, the upper grade learners answer many problems with high difficulty and the correct answer rate also increases, and the learners with lower grades answer lower than the upper learners. The rate of correct answers and the number of questions to be tackled also decrease, but this can be made clear by the numerical value of "quality of learning".
In addition, it is possible to clarify the quality of the learning numerically without having to solve the same problem or the same number of questions for all the learners as in the mock exam and the entrance exam.

Although the above-mentioned analysis example has described the case of displaying a predetermined period or time, as shown in the graph on the right side of FIG. 10, the "quality of learning" of the achiever is calculated for each age and displayed in the graph Alternatively, the "quality of learning" of the learner predicted in the future may be displayed on the basis of the quality of learning of the current learner.
In this example, the vertical axis represents the quality of learning, the horizontal axis represents age (years), (c) represents the learner's learning log, and (d) represents the learner's learning log.
The quality of future learning of this learner may be displayed by extending the quality of current learning as it is, or using a future prediction value using a predetermined prediction algorithm such as the least squares method or Monte Carlo method. You may display it.

  In addition, a selection column 202 for the subject to be learned may be provided on the screen, and this analysis may be performed for each selected subject. In this case, the analysis processing unit 18 can analyze only the learning log of the specified subject from the history information storage 14 by performing the same process as described above.

In addition, the analysis processing unit 18 counts learning logs for each advanced destination (high school, university, etc.) and desired job type (field) from the history information storage unit 14 and calculates a standard learning log in each field. You may do so.
In this way, it is possible to determine the difference in the quality of learning from the learning log of the current learner and the achiever of the destination or desired job type by comparing the learning log with the current learner. Also, it is possible to analyze the group of advanced students (high school, university) and job type expected from the learning log of the current learner.
In addition, it is possible to calculate and display the average value of lifetime annual income and the like by being able to analyze the type of work in the future. The annual income from this job type can also be calculated and displayed based on the annual income data obtained from an external database.

As in the past, the problem volume is accumulated as simply the number of problems that have been digested, and the achievement rate has a certain meaning in the account, but even if different learners are compared, it is possible to tackle different problems. The comparison was meaningless. In this respect, according to the above-described present embodiment, the “quality of learning” determines how many difficulty problems, how many problems are dealt with within a certain period, and how many correct and incorrect solutions are obtained as a result It becomes clear.
In this way, the learner can not only review and study what he has studied, but also see his predicted future.

In the above embodiment, the level of the learner is set or reviewed at an appropriate timing. For setting or reviewing, for example, every time a mock test is performed, the type and timing of the mock test received by the learner are selected, and the level and the difficulty level are set according to the learner's deviation value in the mock test. You may
In addition, the instructor or the learner can input information about the learner, such as the type and timing of the mock exam received by the learner, and the deviation value of the learner in the mock exam.
Thereby, the level of the learner can be kept in an appropriate state.

  Moreover, the division of the difficulty level may be made into 100 steps or 1000 steps based on the correct answer rate (percentage). In order to analyze learner differences more finely, it is better to use more divisions than a small number of divisions.

  Further, the problem registered in the problem information may be a problem in which a correct answer rate is indicated by a past trial or an entrance examination, or a question in which the correct answer rate is estimated based on them may be used. For example, if the correct answer rate is 55%, the basic data that 550 out of 1000 answered correctly will be added and registered, and the history left by the actual learner will be accumulated there, and the correct answer rate for each question will be added again It may be calculated.

Alternatively, the analysis processing unit 18 may perform analysis processing of “how many correct answers and incorrect answers are left at each correct answer rate?” Using the real number as the history.
In this way, it is possible to analyze what kind of “learning history” tends to be left depending on the grades, and to indicate the future grades of the student currently studying, and the direction of the place to go to work and employment. .

Further, in the above embodiment, the difficulty level of the problem, the number of problems tackled, and the correct answer rate are left as history information, but in addition to this, information of the unit studied, learning time, learning time zone of the learner etc. May also be left as history information.
In this case, in addition to the above-described embodiment, the learning time learned by the achiever for each problem or unit may be displayed in comparison with the current learner. Further, the achievement person may be compared with the currently learning learner not only in the learning time but also in the learning time zone.

Reference Signs List 1 learning support device 2 learner terminal 11 problem information storage unit 12 learner information storage unit 13 difficulty level setting table 14 history information storage unit 15 learning information processing unit 16 problem information processing unit 17 history information acquisition unit 18 analysis processing unit NW network

Claims (8)

A device that supports learners' learning, and
Problem information storage means for storing the problem information to be presented to the learner and the difficulty level set based on the correct answer rate corresponding to the predetermined learning time for each of the problems;
Among the problems stored in the problem information storage means for each learner, the problem identification information for identifying the problem learned by the learner and the degree of difficulty thereof , and the learning time for each problem or for each unit of the problem And history information storage means for storing, as history information, whether or not the learner has answered correctly.
A learner information storage means capable of storing the field and job type of a destination or place of employment in relation to the personal information of the learner.
With reference to the history information stored in the history information storage means, the degree of difficulty of the problem learned by the learner at the learning time, the number of problems addressed to learning, and the correct answer rate of the learner Analysis processing means for calculating and outputting the quality of learning based on the number of questions for which
The analysis processing means refers to the learner information storage means, identifies a past learner corresponding to the desired field or desired job type of the learner as a successful person, and refers to the history information storage means. The quality of learning representing the difficulty of the problem learned by the successful person at the learning time, the number of problems and the correct answer rate in which the learning was addressed, or the number of correct questions answered above is further calculated and compared with the quality of learning of the successful person. Outputting the degree of achievement of the learning quality of the learner, and displaying and displaying the learning time learned by the achiever for each problem or unit as compared with the learner .
A learning support device characterized by The analysis processing means superimposes and displays the quality of learning of the learner and the quality of learning of the successful person on the same screen.
The learning support device according to claim 1. The above analysis processing means
Calculate the quality of learning at each time of the above learning,
The learning support device according to claim 1. The analysis processing means predicts and outputs the quality of learning of future learners based on the learner's history information.
The learning support device according to any one of claims 1 to 3. The analysis processing means superimposes and displays the predicted learning quality of the future learner and the learning history of the successful person.
A device according to claim 4. The above analysis processing means calculates the quality of learning for each field and job type of the destination and the place of employment on the basis of the learning history of the successful person for each job type and the field of the destination and place of employment. Based on the quality, compared with the above-mentioned study destination, field of work place, and quality of learning of successful people for each type of job, identify and output the field of study destination, place of work, job type that matches the above learner,
The learning support device according to claim 1. Problem information storage means for storing problem information to be presented to a learner and difficulty level set based on a correct answer rate corresponding to a predetermined learning time for each problem, and to associate with the learner's personal information A computer having a learner information storage unit capable of storing the field and job type of the destination and the place of employment,
The above computer is
Among the problems stored in the problem information storage means for each learner, the problem identification information for identifying the problem learned by the learner and the degree of difficulty thereof , and the learning time for each problem or for each unit of the problem And processing for storing in the history information storage means as history information whether or not the learner has answered correctly.
With reference to the history information stored in the above history information storage means, the number of questions and correct answer rates for which the learner worked on the difficulty of the problem learned at the learning time, and the number of correct answers or the number of questions correct for the learner And the process of calculating the quality of learning represented on the basis of the difficulty level of the problem,
The past learner corresponding to the desired field or desired job type of the learner is specified as a successful person with reference to the learner information storage means, and the successful person performs the learning with reference to the history information storage means. The learner's learning by further calculating the quality of learning representing the difficulty of the problems learned at the time and the number of questions and correct answers working on the learning or the number of correct answers, and comparing with the quality of learning of the successful person Outputting the degree of achievement of the quality of the subject, and comparing and displaying the learning time learned by the achiever for each problem or each unit with the learner ;
Method for supporting learning. Problem information storage means for storing problem information to be presented to a learner and difficulty level set based on a correct answer rate corresponding to a predetermined learning time for each problem, and to associate with the learner's personal information To a computer having learner information storage means capable of storing the field and job type of the destination and place of employment,
Among the problems stored in the problem information storage means for each learner, the problem identification information for identifying the problem learned by the learner and the degree of difficulty thereof , and the learning time for each problem or for each unit of the problem And processing for storing in the history information storage means as history information whether or not the learner has answered correctly.
With reference to the history information stored in the above history information storage means, the number of questions and correct answer rates for which the learner worked on the difficulty of the problem learned at the learning time, and the number of correct answers or the number of questions correct for the learner And the process of calculating the quality of learning represented on the basis of the difficulty level of the problem,
The past learner corresponding to the desired field or desired job type of the learner is specified as a successful person with reference to the learner information storage means, and the successful person performs the learning with reference to the history information storage means. The learner's learning by further calculating the quality of learning representing the difficulty of the problems learned at the time and the number of questions and correct answers working on the learning or the number of correct answers, and comparing with the quality of learning of the successful person Outputting the degree of achievement of the quality of the subject, and comparing and displaying the learning time learned by the achiever for each problem or each unit with the learner ;
A computer program that causes

Images