JP2006064880A - System, recording medium, and program for creating educational information for each individuality - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system for creating an educational guideline for conducting guidance matching the individuality of a student and information of how to proceed with learning, and a system for creating information of a learning material for each individuality matching the student's individuality and degree of achievement of scholastic proficiency. <P>SOLUTION: The system for creating educational information for each individuality includes: an individuality pattern selecting means for identifying an individuality pattern to which the student belongs and for outputting the educational guideline according to the individuality pattern and information of how to proceed with learning; and a learning material for each individuality creating means for outputting information of the learning material for each individuality. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  TECHNICAL FIELD The present invention relates to a system for creating educational information for children's education, and more specifically, teaching guidelines for teaching that matches individual children's individuality, and how to advance learning and individuality-specific learning materials. The present invention relates to another education information creation system recording medium and program.

  Conventionally, the Five Factors and Stress theory (hereinafter referred to as “FFS theory”) proposed by Tomohiro Kobayashi, who is also an organizational psychologist, is well known as a method for performing an accurate individuality diagnosis. The FFS theory was introduced to US military organizations in 1983, and human personality is said to be determined by five factors: condensability, acceptability, discrimination, diffusivity, integrity, and stress. If you answer 80 questions, the strength of each factor is digitized, and a few high factors are representative factors that represent the individuality of the person. Major Japanese manufacturers and others use this FFS theory to activate the organization (Non-patent Document 1).

  On the other hand, we pursue as much as possible the right place (matching) between each project and human resources in various companies, organizations, etc., and various types that are currently present in each company or that will be configured and realized in the future (each type in various fields). To determine the personality of each project member from the 80-question answer data using FFS theory in order to allocate the best human resources to the project of the component) and never cause the human resource mismatch phenomenon In addition, there has been proposed a project personnel diagnosis system capable of performing aptitude diagnosis on whether or not the right person is the right person for the project. (Patent Document 1)

JP 2001-273396 A (page 8, FIG. 1) Asahi Shimbun Weekly, “AERA”, 2000 (pages 25-28)

  As mentioned above, FFS theory is used as a basic theory for diagnosing individual personality by FFS theory in an organization such as a company, deciding what combination is optimal in the organization, and improving the activation of the organization. HR management is performed. In other words, the organization is activated by using the FFS theory when determining a combination that exhibits the individuality of the individual in the organization.

  On the other hand, studies are being carried out by educational personnel to improve the learning effect by using FFS theory for children's education. FFS theory is used to know the individuality of each student, such as weaknesses and weaknesses, strengths and weaknesses, and to select a teacher suitable for the individuality of the student to guide the student.

  However, today's school education is all group education in the form of simultaneous classes. For this reason, the number of students who cannot reach the progress of the school is increasing year by year due to individual differences in subjects such as mathematics, Japanese, and English. It is feared that there is. Despite the limitations of today's group education, it is impossible for teachers to provide individual instruction in group education. However, it is not the responsibility of teachers at schools and cram schools, but there is no tool that can accurately grasp the individuality and learning environment of students and evaluate and manage the actual state of individual academic ability in detail. This is because it is impossible for teachers to provide individual instruction in education.

  Therefore, the present invention provides a system for grasping the individuality of a student who is undergoing group education according to the FFS theory, and creating guidance guidelines for teaching that matches the individuality of the student and information on how to proceed with learning. After the individual guidance of the student based on the above guidance guidelines and how to proceed with the learning, based on the results of the confirmation check test that confirms the degree of mastery of the student, it matches the individuality of the student and the degree of academic achievement. The present invention provides a system, a recording medium, and a program for creating information for individual learning materials that automatically select learning materials and that the learning procedure navigates according to the student's progress.

The invention for solving the above problems is specified as follows.
The first invention of the present application is connected to a computer terminal for inputting a student's answer to an individuality diagnosis test using the FFS theory via the Internet, and has a learning style diagnosis database storing student information, from the computer terminal In the individualized education information creation system for identifying the individuality of the student based on the factor data of the FFS theory from the results obtained by collecting the transmitted responses of the student, two different patterns based on the factor data of the FFS theory The educational process pattern determining means for determining which of the various educational process patterns is composed of a reference educational process pattern called from the learning style diagnosis database and the determined educational process pattern Identify the educational process pattern to which the By providing the educational process pattern selecting means for outputting information of how to proceed teaching policies and learning corresponding to the education process patterns, solves the above problems.

  Whether the educational process pattern determination means extracts the point value of the C factor of the student information from the learning style diagnosis database, and the second invention of the present application is a logical explanation depending on whether the point value of the factor is greater than or equal to a predetermined value. The above problem is solved by judging whether it is a sensory explanation.

  In the third invention of the present application, the educational process pattern determining means extracts the point values of five factors of student information from the learning style diagnosis database, specifies the factor of the highest point value from the point values, If the specified factor is factor B, the factor with the next highest point value after factor B is specified. If the specified factor is A or E factor, a deductive explanation is given, and the specified factor must be factor B. If it is A or E factor, if it is so, it will be a priori explanation, otherwise it will be an inductive explanation, and the said subject is solved.

  In the fourth invention of the present application, the educational process pattern determining means extracts the point values of the D factor and the E factor of the student information from the learning style diagnosis database, compares the point values of the D factor and the E factor, If the point value of the factor is large, small step learning is used, and if the point value of the E factor is small, target setting type free step learning is used to solve the above problem.

  The fifth invention of the present application solves the above-mentioned problem by the fact that the various educational process patterns composed of the two different patterns are composed of an explanation method process, an explanation method process, and a learning method process.

  The sixth invention of the present application solves the above-mentioned problem by the education process pattern selection means comparing the reference education process pattern having eight kinds of education process patterns with the determined education process pattern.

  The seventh invention of the present application creates a recognition check test for an erroneous item based on the answer of the academic achievement fixing degree diagnostic test, transmits the recognition check test to the computer terminal 4, and then the confirmation check test transmitted from the computer terminal 4 Identify the wrong items based on the answers to the questions, extract the learning method process data from the learning style diagnosis database based on the student code, identify the pattern, extract the explanation and explanation method process data, and explain the criteria After comparing the pattern data and specifying the explanation pattern data, the reference teaching material pattern data is compared with the specified learning method process and the explanation pattern data, the teaching pattern data is specified, and the information on the individual-specific teaching materials Is further provided with a personality learning material creating means for outputting the above-mentioned problem.

  In the eighth invention of the present application, the education process pattern selection means solves the above problem by comparing the reference learning material pattern having eight kinds of learning material patterns with the data of the specified learning method process and comment pattern. Yes.

  The ninth invention of the present application is connected to a computer terminal for inputting a student's answer to an individuality diagnosis test using FFS theory via the Internet, has a learning style diagnosis database storing student information, and the computer terminal From the results obtained by aggregating the answers of the students transmitted from the above, a personality-specific educational information creation system for specifying the individuality of the students based on the factor data of the FFS theory is different based on the factor data of the FFS theory. Education process pattern determining means for determining which of various education process patterns consisting of patterns belongs to, and comparing the determined education process pattern with the reference education process pattern called from the learning style diagnosis database, Identify the education process patterns to which students belong Educational process pattern selecting means for outputting information of how to proceed teaching policies and learning corresponding to Rosesupatan, by computer-readable recording medium a program for functioning as solves the above problems.

  A tenth invention of the present application is connected to a computer terminal for inputting a student's answer to an individuality diagnosis test using FFS theory via the Internet, has a learning style diagnosis database storing student information, and the computer terminal From the results obtained by aggregating the answers of the students transmitted from the above, a personality-specific educational information creation system for specifying the individuality of the students based on the factor data of the FFS theory is different based on the factor data of the FFS theory. Education process pattern determining means for determining which of various education process patterns consisting of patterns belongs to, and comparing the determined education process pattern with the reference education process pattern called from the learning style diagnosis database, Identify the educational process pattern to which the student belongs and Educational process pattern selecting means for outputting information of how to proceed teaching policies and learning corresponding to the process pattern, the program for functioning as solves the above problems.

  It is possible to accurately grasp the individuality of students receiving group education using FFS theory, and to provide guidance on guidance that best suits the individuality of the accurately grasped students and information on how to proceed with learning. Thus, teachers can provide guidance that respects the individuality of the students based on the information, and learners can learn more reliably by the way of learning that matches the individuality of the students. In addition, based on the above guidance guidelines and how to proceed with learning, the results of individual guidance of students will be presented. Based on the results of the confirmation check test, information on learning materials will be provided that matches the individuality of the students and the level of academic achievement. It became possible to steadily digest the subjects that were not good at it. In particular, it has been impossible in the past to create learning materials for each individual and individual, but it is now possible to create learning materials for each individual and individual with this personalized educational information creation system.

  The FFS theory questions for analyzing individuality consist of a total of 80 questions, and the answer column is composed of “Yes”, “None”, and “No”. 50 of the 80 questions are questions related to five factors (condensability, acceptability, discrimination, diffusivity, and maintainability (hereinafter these factors are referred to as “A, B, C, D, E”)). The points according to the answer are “Yes” is 2 points, “Neither” is 1 point, “No” is 0 points, and the strength of the five factors is specified by the total value of the points.

  The following explains what the five factors are. A (condensability) is a factor that attempts to abolish and maintain when events that are confronted for self-establishment, surrounding claims, etc. are convenient to you, but to abolish them when they are not convenient. It can be said that it is a factor. As a characteristic, there are cases where it is instructive but conversely self-righteous. B (acceptability) is a factor that actively accepts events and surrounding claims that face each other regardless of their state and situation, and is also a factor that can be called maternity. As a characteristic, it is nurturing but may be interventional.

  C (discriminatory) is a factor that tries to classify the mental state and the situation of the person into two, whether they are appropriate or inappropriate in their surroundings or circumstances. If weak, it is sensory intuitive. The characteristic may be logical but conversely mechanical. D (diffusivity) is a factor that allows you to select a method to actively use external power by exerting your mental and dynamic power when you try to maintain yourself. This is a factor that shows a strong tendency for nomadic people. Some characteristics are active, but conversely, they can be impulsive. E (maintenance) is a factor that selects the method that minimizes the loss of one's mental and dynamic power when trying to maintain oneself. Is a factor. The characteristics may be cooperative but conversely follow.

  The other 20 questions are for checking the reliability corresponding to the question. Although it is rare for children, in the case of adults, there are cases where they do not answer questions in a straightforward manner because they want to show themselves well, so the reliability of the answers is checked with these 20 questions. The computer totals the 70 answered points, but the total of each factor is a maximum of 20 points. The remaining 10 questions measure the degree of stress representing the current tension state, and are not used to specify 5 factors. The 80 questions are composed of simple questions such as "they tend to express their thoughts even if they block other people's words" or "the thoughts are immediately expressed" . As described above, it is already known that 80 questions are created based on the FFS theory, and that the individuality of the student is specified as 5 factors based on the answer.

Hereinafter, the best mode of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a block diagram showing a computer network used in the individualized education information creation system 3 (hereinafter referred to as “creation system 3”) of the present invention. The creation system 3 includes a server 1 and a learning style diagnosis database 2 (hereinafter referred to as “diagnosis database 2”). This computer network is composed of an application service provider (hereinafter referred to as “ASP”) creation system 3. Each school computer terminal 4 is connected via a computer network for the Internet. It is also possible to install the creation system 3 for each school board instead of installing it in the ASP. In the school, a computer terminal is installed in each classroom on the school intranet, and the student's answer or answer may be input through the screen of the terminal, and the student's answer or answer is entered on the question form. The teacher may input the result from a computer terminal. Moreover, you may make a student input the answer or answer of a question through the computer terminal of each household.

  FIG. 2 is a flowchart for explaining an outline of various information flows between the creation system 3 and the computer terminal 4 according to the present invention. As described above with reference to FIG. 1, as an example, the ASP creation system 3 is connected to a computer terminal 4 installed in each classroom via a school intranet via a computer network for the Internet. When the student inputs the ID and password of the student in the input field of ID and password in the screen displayed by specifying the URL on the computer terminal 4 and sends it to the creation system 3, the personality diagnosis or learning style is created from the creation system 3. A diagnostic system screen (see FIG. 3) for selecting is transmitted and displayed on the screen of the computer terminal 4. Since the individuality diagnostic test transmitted by the selection of the individuality diagnosis is widely known as described above, it will not be described in detail, but an outline of the flow of the individuality diagnostic test is described below. Each student's personality diagnostic test response is transmitted from the computer terminal 4 to the creation system 3. The creation system 3 calculates the number of points for each of the five factors from the result of the response, and the number of points is stored in the database 2. Stored.

  When the student inputs the ID and password in the ID and password input fields in the screen displayed by specifying the URL on the computer terminal 4 or specifies the student name from the student name list, the student sends the data to the creation system 3 A diagnostic system screen for selecting a personality diagnosis or learning style is transmitted from the creation system 3 and displayed on the computer terminal 4.

  FIG. 3 is a diagram showing a personality diagnosis and learning style selection screen. In the data entry field in the center of the display screen, “Individual diagnosis” and “Learning style diagnosis” are displayed under “Data type”, “Image” under “Screen” and “List” under “List”. Each button is provided. If you want to answer the personality diagnostic test on the screen, press the “Image” button. If you want to answer on the questionnaire, press the “View” button. To view the learning style diagnosis test on the screen, the user presses the “Image” button. To view the learning style diagnosis test on the question sheet, press the “View” button.

  When the “image” button in the individuality diagnosis column of the data type of the data input item is pressed (1), 80 individual diagnosis tests based on the FFS theory are transmitted from the creation system 3 to the computer terminal 4 (2). Is displayed. After selecting one of three “Yes”, “None” and “No” in the answer column and answering all 80 questions, the answer data is sent to the creation system 3 ( 3). The creation system 3 identifies 8 types of individual patterns of learning guidance guidelines and learning methods from the point values of the five factors obtained from the results of the answers to the individuality diagnostic test, and the learning guidance guidelines and Information on how to proceed with learning is transmitted (4).

  Based on the learning guidance guidelines and information on how to proceed with learning, the teacher practices how to learn and proceeds with learning of the student, and when the teacher wants to diagnose the student's academic achievement, after entering the ID and password Then, select the subject from the input screen of the academic achievement fixing degree diagnosis, select the unit or all, and press the “execute” button (5), and the selected information is transmitted to the creation system 3 (input) Screen is omitted).

  The achievement level test is transmitted from the creation system 3 (6), and the test result answered by the student is transmitted to the creation system 3 (7). The creation system 3 transmits a confirmation check test consisting of similar questions for questions with incorrect answers among the test results (8). This confirmation check test is a test performed to determine whether the student does not understand the question or is due to misunderstanding. The test result answered by the student is transmitted to the creation system 3 (9). The creation system 3 transmits information on the learning material for individual personality based on the test result, the learning method process of student information, and the explanation pattern data (10).

  FIG. 4 is a diagram illustrating an example of the individuality pattern 3 and the individuality pattern 5 among the eight types of individuality patterns. In order for a teacher to teach a student, in order for the student to understand a certain event, the “explanation method” that is easiest for the student to understand, the “explanation method” such as how the teacher should explain to the student, It is important that three processes of “learning methods” to acquire what the students understand are properly selected. In each process, the optimum guidance is possible by selecting a method that matches the individuality of the student.

  Each process is composed of two patterns, and the pattern for each process will be described below. When a teacher explains an event, there are two ways of understanding, depending on the student, who are good at thinking the left brain (logical and analytical work) and the right brain (intuitive and comprehensive). It depends on what you are doing. There are two types of students: those that are easier to understand logically and those that are easier to understand sensuously. This is expressed as a digital system when the point of C (discriminator) is 10 points or more and an analog system when it is less than 10 points. In the case of digital systems, logical explanations are made in an orderly manner using numbers and words, and in the case of analog systems, sensual explanations are provided so that a specific image such as a picture or photograph can be held. Such “explanation method” is expressed as “logical explanation” and “sensory explanation”.

  When a teacher explains an event, there are students who can respond appropriately to how they explain, and students who cannot respond appropriately. The “explanation method” means an explanation methodology and is divided into two types: “inductive legal explanation” and “deductive legal explanation”. This is the factor that determines the individuality of the student, the factor that obtained the highest point among the five factors A, B, C, D, and E (0 to 20 points), and that factor is called the first factor . The following shows which explanation is appropriate for each first factor. Type A may be “deductive legal explanation”, type B may be “inductive legal explanation” or “deductive legal explanation”, type C is “inductive legal explanation”, and type D is “inductive legal explanation”. For type E, “deductive legal explanation” is appropriate.

  In this best mode, the maximum point of the five factors is described as 20. However, it is not limited to 20. Although an example in which a logical explanation or a sensory explanation is determined based on whether the value of the C point is greater than or equal to 10 is shown, the point value of this determination is 15 if the maximum point value is 30. In this way, it depends on the maximum point value.

  In order to make things that can be understood yours, you need to learn them with a learning method suitable for your personality. This is related to the factors of D and E, which are temperament factors among the five factors, and is as follows depending on which factor is higher than D and E. In the case of D> E, the instructor sets the achievement target of academic ability, and what kind of schedule is to be achieved is to let the student make a plan, to make a plan at the student's will, and the teacher to the plan Give advice only. Basically, create a monthly schedule. This is referred to as “free step learning”. In the case of D <= E, the teacher tentatively creates an academic achievement arrival target, finishes it with a student while checking whether it is possible, and divides the target value into small steps. Basically, create a daily schedule. This is referred to as “small step learning”. The “learning method” includes “free step learning” and “small step learning”.

  As described above, each process of “explanation method”, “explanation method”, and “learning method” has two patterns, and thus the total number of individual patterns is eight patterns (see FIGS. 8 and 11). ). As described above, FIG. 4 is a diagram for explaining the individuality pattern 3 and the individuality pattern 5 among them. The process pattern shown in (4) of FIG. 2, the learning guidance guidelines suitable for each pattern, and information on how to proceed with learning are transmitted from the creation system 3 to the computer terminal 4.

  The guidance guideline for personality pattern 3 is “Being able to listen to people well and accept things positively, make them understand the necessity of learning, that is, convince them of the importance of improving their academic ability. It ’s important to learn mainly from your favorite or interesting subject, so you do n’t need to give detailed instructions, but you ’ll want to clarify your monthly goals. When you explain things, it ’s important to explain them logically in numbers and words in order. ” The teaching guidelines that are suitable for the individuality of the students are shown specifically, so that the teacher can proceed with educational guidance that respects the individuality of each student.

  As the way of proceeding with the study of individuality pattern 3, as the way of proceeding 1, “The first goal is to create your own subject and field of expertise. We will focus on preparations that will make classes fun in your subject. We will conduct a survey in advance using supplementary readers, etc., and clarify the questions and look into the class, etc. We will make sure to proceed while resolving them without leaving any questions. ” To overcome the field, you need to be aware of the reasons for your weaknesses.Because the efforts to overcome the weak field are enthusiastic, we will steadily clear the issues one step at a time. Is a big factor that will motivate you. " Method 1 shows how to advance in the field you are good at, Method 2 shows you how to advance in the field you are not good at, and shows how to advance learning that matches the individuality of the student. Can promote learning that respects In the same manner as the personality pattern 3, the personality pattern 5 also shows instruction guidelines and learning methods suitable for the individuality of the student, so that the teacher advances education guidance and learning that respects the individuality of each student. be able to. Based on the learning guidance guidelines and information on how to proceed with learning, as shown in the example of individuality patterns 3 and 5 described above, the teacher practices the guidance guidelines and how to proceed with learning when teaching students.

  FIG. 5 is a diagram for explaining an example of the learning material pattern 6 among the eight types of learning material patterns. As shown in FIG. 2 (10), the creation system 3 sends information on learning materials (8 kinds of teaching material patterns) for individual personality based on the test result, the learning method process of student information, and the explanation pattern data to the computer terminal. (10). The teaching material pattern is determined by the “explanation method” and “explanation method” described above, and the learning method process determines whether the free step learning is appropriate or the small step is appropriate, and the learning material pattern is selected. (See FIGS. 9 to 11).

  Teaching material pattern 6 is selected when the maximum value of 5 factors is B, C, or D, and the value of C factor is 10 points or more (explanation pattern 3). In the case of E (free step learning), it is selected. In the case of free-step learning, first set the goal of how long the task will be accomplished, and leave the order in which the problems are solved to the person in question so that they can choose freely. It is possible to skip some points along the way, but it is not possible to proceed until the confirmation check test is finally performed and everything is correct.

  FIG. 6 is a diagram for explaining an example of the explanation pattern 2 among the four kinds of explanation patterns. If the maximum value of 5 factors is A or E and the value of C factor is less than 10 points, we will start with easy problems and gradually answer the more difficult problems. The logic will be developed using the theory. The watch's “beam” is always compared with the time so that it can be captured in the image.

  FIG. 7 is a diagram for explaining an example of the explanation pattern 3 among the four kinds of explanation patterns. If the maximum value of 5 factors is B or C or D and the value of C factor is 10 points or more, the student moves the beam to the place he / she thinks and experiences what time and what time it is Can know. In the process of predicting the result from his own experience and repeating trial and error, he learns the law of the relationship between the clock beam and time.

  FIG. 8 shows eight types of reference individuality pattern tables used when specifying individuality patterns by various educational processes. This table is based on the result of each student's personality diagnostic test, and the educational process pattern determining means 3a of the creation system 3 determines which of the eight types of personality patterns belongs to the flowchart shown in FIG. It is a table used as a reference. By specifying these eight types of individual patterns, the learning system guideline and information on how to proceed with learning according to the patterns are output from the creation system 3.

  FIG. 9 shows four types of reference comment pattern tables used when specifying comment patterns. The reference comment pattern table is a table that serves as a reference when determining which of the four kinds of comment patterns belongs by the comment method process and the explanation method process of the student information file.

  FIG. 10 shows eight types of reference teaching material pattern tables used when specifying teaching material patterns. The reference teaching material pattern table is a table serving as a reference when determining which of the eight teaching material patterns belongs to the learning method process of the student information file and the explanation pattern. By specifying these eight kinds of teaching material patterns, information on the teaching materials according to individuality corresponding to the patterns is output from the creation system 3.

  FIG. 11 is a diagram illustrating an example of a data structure of student information stored in the diagnosis database 2. The student information stores information (ID, name, etc.) for identifying the student and information (identity diagnosis, various educational processes, etc.) for identifying the individuality of the student, and each record is transmitted from the computer terminal 4 of the student. Generated based on 5-factor data. Specifically, the student information includes data number (No), ID (student code), name, grade class, gender, individuality diagnosis, explanation method process, explanation method process, learning method process, individuality pattern, explanation pattern, and teaching materials. Each column of patterns etc. is included. In the individuality diagnosis, values of five factors are calculated from the results of the individuality diagnosis test, and the maximum value is 20. The explanation method process, the explanation method process, and the learning method process (hereinafter collectively referred to as “education process”) are divided into two different patterns. Whether it belongs to the pattern is specified and the flag “1” is set. In the individuality pattern column, eight types of individuality patterns are specified based on the situation of the flag “1”, and values from 1 to 8 are stored.

  Note that the explanation method process column includes logical explanation and sensory explanation columns, and selects the explanation method that is most easily understood by the student when teaching the student. To do. The explanation method process column includes a deductive explanation and a functional explanation column, and when the instructor explains the student, the most easily understood explanation method for the student is selected. The learning method process column includes small step learning (hereinafter referred to as “S step learning”) and goal setting type free step learning (hereinafter referred to as “F step learning”). When you learn what you understand, choose which of the best ways to establish academic achievement for the student. In this way, it is possible to optimally teach by dividing into three education processes and selecting a method that matches the individuality of each student in each process.

  FIG. 12 is a functional block diagram of the creation system 3 according to the best mode of the present invention. As shown in the figure, the creation system 3 of the present invention comprises a server 1 having the functions of an educational process pattern determination means 3a, an individuality pattern selection means 3b, and an individualized learning material creation means 3c and a diagnostic database 2. The server 1 that has received the response of the individuality diagnostic test transmitted from each computer terminal processes the data of the response, creates 5 factors (AE) data for each student, and stores the data in the diagnostic database 2 Based on the input data, the education process pattern determining means 3a outputs any one of the two patterns of explanation method process, explanation method process and learning method process, and the individuality pattern selection means 3b outputs these two patterns. Based on the data, the learning guidance guidelines and information on how to proceed with learning are output to the computer terminal 4, and the student information is output to the individuality learning material creation means 3 c which is the next function processing means. The individual-specific learning material creation means 3c outputs information on the individual-specific learning material suitable for the individuality of the student based on the student information, the result of the confirmation check test, and the correct answer table data.

  13 to 15 are flowcharts for explaining the processing flow of the educational process pattern determining means shown in FIG. The diagnosis database 2 stores 80 questions created based on the above FFS theory, standard education pattern table and standard explanation pattern table, confirmation check test, individualized learning material information, etc. When the student answer data for 80 questions and the answer data for the confirmation check test are transmitted from the computer terminal, the creation system 3 performs arithmetic processing of these data and stores them in the individuality diagnosis column of the student information in the diagnosis database 2 (See FIG. 11).

  In the flowchart shown in FIG. 13, the creation system 3 calls the student information in the diagnostic database (step S1). The data number of the student information is composed of serial numbers from 1 to N, 1 is set as the initial value of a (step S2), and it is determined whether a is less than or equal to N (step S3). If Yes, the point value of C (discrimination) in the personality diagnosis column of the student information of data number 1 is extracted (step S4), and it is determined whether C (discrimination) is greater than or equal to 10 (step S5). ) If Yes, a flag “1” is set in the logical column of the explanation method process and stored in the diagnosis database 2 (step S6). If No, the flag “1” is set in the sense column of the explanation method process and stored in the diagnosis database 2 (step S7). Subsequently, an integer 1 is added (step S8), and the above-described processing from step S3 to step S8 is continued until a becomes equal to N. If it is determined No in step 3, the process proceeds to (1) shown in FIG.

  In the flowchart shown in FIG. 14, steps S21 to S23 and step S30 are the same as the processing of FIG. The creation system 3 compares the respective point values from among the point values A (condensable) to E (maintenance), which are the five factors of the individuality diagnosis data, and identifies the factor having the highest point value (step S24). ). It is determined whether or not the identified factor is B (acceptance) (step S25). If Yes, the factor at the next highest point after B (acceptance) is identified, and the identified factor is A (condensed). ) And E (maintenance), a flag is set in the deduction column of the explanation method process, and if C (discrimination) and D (diffusibility), a flag is set in the induction column of the explanation method process and stored in the student information file (step) S26). If No in step 5, it is determined whether the specified factor is A (condensable) or E (maintenance) (step S27). If Yes, a flag “1” is displayed in the deduction column of the explanation method process. Is stored in the student information file (step S28). If No, the flag “1” is set in the inductive column of the explanation method process and stored in the student information file (step S29). Thereafter, the processing is continued until “a” becomes equal to N, and if “No” is determined in Step 3, the processing proceeds to (2) shown in FIG. 15.

  In the flowchart shown in FIG. 15, Steps S31 to S33 and Step S38 are the same as the processing of FIG. The creation system 3 extracts the D (diffusibility) and E (maintenance) point values of the student information file (step S34), and the D (diffusibility) point value is an E (maintenance) point. It is determined whether the value is larger than the value (step S35). If Yes, the flag “1” is set in the F step column of the learning method process and stored in the student information file (step S36). If No, the flag “1” is set in the S step column of the learning method process and stored in the student information file (step S37). Thereafter, the processing is continued until a becomes equal to N. If it is determined No in step S33, the processing of the educational process pattern determining means 3a is ended.

  In the embodiment described above, as the processing of the student information file in order to determine the patterns of various educational processes, the student information file is determined in the order of the explanation method process, the explanation method process, and the learning method process. As described in the flowchart, the data number of the student information file, for example, data number 1 is determined in the order of the explanation method process, the explanation method process, and the learning method process, and two patterns of each education process are determined. Those skilled in the art can understand that the student information may be processed up to the student information of the data number N so as to determine two patterns of each education process. That is, after step S7 in FIG. 13, the processing from step S24 to step S29 in FIG. 14 is performed, then the processing from step S34 to step S37 in FIG. 15 is performed, and then the student information of data number 2 is processed to obtain the data. The student information of number N may be processed and terminated.

  FIG. 16 is a flowchart for explaining the flow of processing of the individuality pattern selection means 3b in the creation system 3. The individuality pattern selection means 3b calls the student information in the order of data numbers, specifies which of the eight individuality patterns belongs, and outputs learning guidance guidelines corresponding to the specified individuality patterns and information on how to proceed with learning. It has the function to do. Call the student information and the reference individuality pattern table (see FIG. 8) from the diagnostic database 2 (steps S41 and S42), set 1 as the initial value of a (step S43), and determine whether a is less than or equal to N (Step S44) If Yes, the flag “1” set for various educational processes of data number 1 in the student information file is compared with the called reference individual pattern table, and any of the reference individual pattern tables is selected. (Step S45), and the pattern number is entered in the individuality pattern column of the student information file (step S46). Subsequently, the integer 1 is added (step S47), and the above-described processing from step 4 to step 7 is continued until a becomes equal to N.

  If it is determined No in Step 4, the pattern number in the individuality pattern column stored in the student information file is called, and the learning guidance guidelines and learning for each of the eight pattern numbers stored in advance in the diagnostic database 2 Information on how to proceed is output (step S48). In the process of step S48, the information such as the learning guidance guidelines is output after the pattern numbers of all the student information files are specified. However, the information such as the learning guidance guidelines may be output after step S46. .

  FIG. 17 is a flowchart for explaining the flow of processing for creating a confirmation check test. The confirmation check test is a test for obtaining the result of the confirmation check test to be input to the individualized learning material creation means 3c in the creation system 3. In other words, it is a flowchart for creating a confirmation check test for generating a result of the confirmation check test, which is input data of the individuality learning material creation means 3c in FIG. The student information, the correct answer table of the achievement level diagnostic test and the result of the achievement level diagnostic test are called from the diagnosis database 2 (steps S51, S52, S53), and 1 is set as an initial value of a (step S54). It is determined whether it is less than or equal to N (step S55). If Yes, the correct table of the achievement level diagnostic test is compared with the result of the achievement level diagnostic test to identify an erroneous item (step S56). Then, a confirmation check test for the erroneous item is created and stored in the diagnostic database 2 (step S57). Subsequently, an integer 1 is added (step S58), and the above-described processing from step S55 to step S58 is continued until a becomes equal to N. If it is determined No in step 5, a confirmation check test for an incorrect item is output (step S59).

  FIG. 18 is a flowchart for explaining the flow of processing of the individualized learning material creation means 3 c in the creation system 3. This individualized learning material creation means 3c calls each data of student information, reference comment pattern table, reference material pattern table, confirmation check test correct answer table and confirmation check test result from the diagnosis database 2 (from step S61). S65), 1 is set as the initial value of a (step S66), and it is determined whether a is less than or equal to N (step S67). If Yes, the result that is the answer data of the student's confirmation check test is called. The correct table of the confirmation check test is compared with the result of the confirmation check test, the erroneous item is specified, and the data is stored in the diagnosis database 2 (step S68). The flag information of the student information learning method process is searched to identify the S step or the F step (step S69), and the student information explanation and explanation method process data are extracted and compared with the reference explanation pattern table. The student comment pattern numbers 1 to 4 are identified, and the number data is written in the comment pattern field of the student information (step S70). The reference teaching material pattern table, the learning method process, and the explanation pattern data are compared and written in the teaching material pattern column and stored in the student information file (step S71). Subsequently, an integer 1 is added (step S72), and the above-described processing from step S67 to step S72 is continued until a becomes equal to N. If it is determined No in step S67, personality classification is performed based on the erroneous item data stored in the diagnostic data and the learning method process data and the teaching material pattern number data stored in the student information file. Information on the learning material is output (step S73). The output information is transmitted to the computer terminal 4 via the Internet.

  In the above description of the embodiment, examples of 8 types of individual pattern numbers, 4 types of explanation pattern numbers, and 8 types of teaching material pattern numbers are shown. However, the patterns need not be limited to these pattern numbers. Any symbol can be used as long as it can be specified. Therefore, these pattern numbers are referred to as “pattern specifying data”.

  In the description of the above embodiment, examples of the standard education process pattern table, the standard commentary pattern process table, the standard teaching material pattern process table, and the student information file table are shown. However, the present invention is limited to these tables. These tables are referred to as “reference comment pattern process data”, “reference comment pattern process data”, and “reference teaching material pattern process and student information file data”.

It is a block diagram which shows the computer network used for the education information creation system 3 for individuality of this invention. It is a flowchart for demonstrating the outline | summary of the flow of various information between the production system 3 and the computer terminal 4 which concern on this invention. It is a figure which shows the selection screen of a personality diagnosis and a learning style. It is a figure which shows the example of the individuality pattern 3 and the individuality pattern 5 among eight types of individuality patterns. It is a figure for demonstrating the example of the learning material pattern 6 among 8 types of learning material patterns. It is a figure for demonstrating the example of the description pattern 2 among four types of description patterns. It is a figure for demonstrating the example of the description pattern 3 among four types of description patterns. It is eight types of reference individuality pattern tables used when specifying individuality patterns. These are four types of standard commentary pattern tables used when specifying commentary patterns. It is eight kinds of reference | standard teaching material pattern tables used when specifying a learning material pattern. It is a figure which shows an example of the data structure of the student information stored in the diagnostic database 2. 3 is a functional block diagram of a creation system 3. FIG. It is a flowchart explaining the flow of a process of the educational process pattern determination means shown in FIG. It is a flowchart explaining the flow of a process of the educational process pattern determination means shown in FIG. It is a flowchart explaining the flow of a process of the educational process pattern determination means shown in FIG. It is a flowchart explaining the flow of a process of the individuality pattern selection means 3b in the production system 3. It is a flowchart explaining the flow of a process which produces a confirmation check test. It is a flowchart explaining the flow of a process of the individualized learning material preparation means 3c in the production system 3.

Explanation of symbols

1 server
2 Database 3 Personality education information creation system 4 Computer terminal

Claims (10)

A computer terminal for inputting a student's answer to an individuality diagnosis test using FFS theory is connected via the Internet, has a learning style diagnosis database storing student information, and is transmitted from the computer terminal. In the educational information creation system for individuality that identifies the individuality of students based on FFS theory factor data from the results obtained by counting the answers,
An educational process pattern determination means for determining which of various educational process patterns consisting of two different patterns based on the factor data of the FFS theory;
The educational process pattern to which the student belongs is specified by comparing the standardized educational process pattern called from the learning style diagnosis database and the determined educational process pattern, the learning guidance policy corresponding to the educational process pattern, and the learning method Educational information creation system for individual personality, characterized by comprising educational process pattern selection means for outputting information on the individual.   The educational process pattern determining means extracts the point value of the C factor of the student information from the learning style diagnosis database, and determines whether it is a logical explanation or a sensory explanation depending on whether the point value of the factor is greater than or equal to a predetermined value. The personality-specific educational information creation system according to claim 1.   The educational process pattern determining means extracts the point values of the five factors of the student information from the learning style diagnosis database, identifies the factor of the highest point value from the point values, and the identified factor is If factor B is the factor with the next highest point value after factor B, if the specified factor is factor A or E, a deductive explanation is given. If the specified factor is not factor B, it is A or E factor. The system according to claim 1, wherein if it is so, a deductive explanation is given, and if not so, an inductive explanation is given.   The education process pattern determining means extracts the point values of the D factor and the E factor of the student information from the learning style diagnosis database, compares the point values of the D factor and the E factor, and the point value of the E factor is small. 2. The individualized education information creation system according to claim 1, wherein if there is a goal setting type free step learning, small step learning is performed if the point value of the E factor is large.   5. The individualized education information creation system according to any one of claims 1 to 4, wherein the various education process patterns including the two different patterns include an explanation method process, an explanation method process, and a learning method process.   The individual education according to any one of claims 1 to 5, wherein the education process pattern selection means compares a reference education process pattern having eight kinds of education process patterns with the determined education process pattern. Information creation system.   Based on the answer of the achievement level diagnostic test, a recognition check test for the wrong item is created and transmitted to the computer terminal 4, and then the error is confirmed based on the answer of the confirmation check test transmitted from the computer terminal 4. Specify the item, extract the learning method process data from the learning style diagnosis database based on the student code, identify the pattern, extract the explanation and explanation method process data, compare with the reference explanation pattern data, After specifying the explanation pattern data, the reference material pattern data is compared with the specified learning method process and the explanation pattern data, the pattern specification data of the education material pattern is specified, and the information of the individual education material is output. 7. The individual according to claim 1, further comprising learning material creation means. Another educational information creation system.   The personalized education information creation according to claim 7, wherein the educational process pattern selection means compares a reference teaching material pattern having eight kinds of teaching material patterns with data of the specified learning method process and explanation pattern. system. A computer terminal for inputting a student's answer to an individuality diagnosis test using FFS theory is connected via the Internet, has a learning style diagnosis database storing student information, and is transmitted from the computer terminal. Based on the results obtained by collecting the answers, a personalized educational information creation system that identifies student personality based on factor data of FFS theory,
An educational process pattern determination means for determining which of various educational process patterns consisting of two different patterns based on the factor data of the FFS theory;
The educational process pattern to which the student belongs is specified by comparing the standardized educational process pattern called from the learning style diagnosis database and the determined educational process pattern, the learning guidance policy corresponding to the educational process pattern, and the learning method Educational process pattern selection means to output the information of
A computer-readable recording medium in which a program for functioning as a computer is recorded. A computer terminal for inputting a student's answer to an individuality diagnosis test using FFS theory is connected via the Internet, has a learning style diagnosis database storing student information, and is transmitted from the computer terminal. Based on the results obtained by collecting the answers, a personalized educational information creation system that identifies student personality based on factor data of FFS theory,
An educational process pattern determination means for determining which of various educational process patterns consisting of two different patterns based on the factor data of the FFS theory;
The educational process pattern to which the student belongs is specified by comparing the standardized educational process pattern called from the learning style diagnosis database and the determined educational process pattern, the learning guidance policy corresponding to the educational process pattern, and the learning method Educational process pattern selection means to output the information of
Program to function as.

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