KR20000053985A - Multi-square learning method based on learning level and transforming question - Google Patents

Abstract

PURPOSE: A method for performing multi-square study is provided, so that users can study according to study levels of the users by referring to databases setting up many transformed questions of the study levels, to automatically decide levels of next questions according to correct answers and incorrect answers of the users for the questions. CONSTITUTION: A method for performing multi-square study based on study levels and transformed questions, comprises the steps of: if a user is not registered, receiving an application from the user to store member information in a member database, and referring to the member database, and if a user is an existing member, connecting the member with a computer, and making the user select a study item and a subject; and performing the multi-square study deciding a level of a next question according to a correct answer of the user, for the selected subject as referring to a study database classified according to study levels and study ranges, and storing a result in a study details database.

Description

MULTI-SQUARE LEARNING METHOD BASED ON LEARNING LEVEL AND TRANSFORMING QUESTION}

The present invention relates to a multi-square learning method using a computer, based on learning level and deformation problem, and in particular, using a plurality of learning levels and a plurality of problems for each learning level to solve a problem level in response to correct or incorrect answers by a learner. By applying the multi-square learning method that selects and submits a predetermined level of problem, the multi-square learning method based on the learning level and transformation problem that enables learners to learn by level and learner's learning level automatically It is about.

In general, the learning method includes a mail delivery method, a learning method purchased directly or a reference book, a learning method of receiving feedback using a telephone, a learning method of visiting an educator, and a cyber learning method using a communication network such as the Internet. have.

Recently, due to the development of communication networks such as the Internet, much interest and development of cyber learning methods have increased.

In this regard, in the existing cyber learning method using a computer, a question is prepared in a randomly prepared question, checks the correct answer and the wrong answer, and consists of a learning process showing the score to the learner.

However, in the existing learning method, first, the difficulty of the problem is not distinguished, so it is impossible to learn according to the difficulty of the problem. Second, the learning level suitable for the learner's learning level is impossible because the user's learning level is not considered. As such, the existing learning methods had various problems like this.

The present invention has been made to solve the above problems, and therefore, an object of the present invention is to determine a problem level in response to a correct answer or a wrong answer by a learner using a plurality of learning levels and a plurality of problems for each learning level, By applying the multi-square learning method that submits the level problem, the learner can learn by level and provide the multi-square learning method based on the learning level and the transformation problem to automatically learn the learner's learning level. .

1 is a schematic block diagram of a learning system for carrying out the invention.

2 is a flowchart showing an overall learning method according to the present invention.

3 is a page for selecting a subject after logging in during learning according to the present invention.

4 is a flowchart showing a basic learning method of the main learning of FIG. 2.

5 is a flowchart illustrating a multi-square learning method of FIG. 4.

6 is a flowchart showing another multi-square learning method of FIG.

7 is a diagram illustrating a classification table of a learning DB.

FIG. 8 is an explanatory diagram of the multisquare problem of FIGS. 5 and 6.

9 is an exemplary diagram of the number of learning problems by learning level.

10 is a configuration diagram of the learning history of the learning history DB.

FIG. 11 is a flowchart showing a method for learning a proficiency of the present study of FIG. 2.

FIG. 12 is a flowchart showing a best learning method of the main learning of FIG. 2.

Explanation of symbols on the main parts of the drawings

10: client 15: communication network

20: Server 21: Web Server

22: learning control means 23: learning management means

24: Member DB 25: Learning DB

26: Learning History DB

As a technical means for achieving the above object of the present invention, the method of the present invention, if a non-registered learner, receives a subscription and stores member information in a member DB, and logs in when an existing member is referred to by referring to the member DB. A first step of selecting a learning item and a subject after the test; According to the learner's choice, multi-square learning is performed to determine the level of the next question for the selected subject by classifying the learning level and the scope of study and referring to the learning DB. A second step of storing in the learning history DB; Characterized in that made.

As a technical means for achieving the above object of the present invention, another method of the present invention is to access a web server through a communication network, after registering and logging in to a member DB for a new member, to select the learning items and subjects Stage 1; Selecting a learning range, performing a full-range multi-square learning on the learning range of the selected subject by referring to the learning DB, determining a learning level according to the learning result, and storing the learning result in the learning history database; step; When the learning level is more than the basic level, the learning is allowed, the learning range is selected, the multi-square learning is performed within the corresponding level range of the determined learning level with respect to the learning range of the selected subject with reference to the learning DB, Re-determining a learning level according to the learning result and storing the learning result in the learning history DB; When the learning level is higher than the upper level, the learning is allowed, the learning range is selected, and the multi-square learning is performed within the upper level range for the learning range of the selected subject by referring to the learning DB, and the learning result is learned. A fourth step of storing in the detail DB; Characterized in that made.

Hereinafter, a step-by-step learning system based on a learning level according to the present invention will be described in detail with reference to the accompanying drawings. In the drawings referred to in the present invention, components having substantially the same configuration and function will use the same reference numerals.

1 is a schematic block diagram of a learning system for carrying out the present invention. Referring to FIG. 1, the learning system 20 for carrying out the present invention manages new member registration and member information, and responds to a learner's selection. Main control means 21 for overall control of learning performance and learning management, and control the entire learning including the corresponding multi-square learning under the control of the main control means 21, and control the storage of the learning results. Under the control of the control means 22, the member DB 24 for storing the member information under the control of the main control means 21, and learning items for each learner, learning level, learning under the control of the main control means 21 Learning management means 23 for managing the learning history, including data on the date, learning range (area), learning problems, correct answers and incorrect questions, and the learner during the learning by the learning control means 22 Learner about problem to be And a learning DB 25 which is classified and stored for each learning level, and a learning history DB 26 which stores the learning results by the learning control means 22 and is managed by the learning management means 23. do.

In response to the learner's selection, the learning control means 22 reads any problem from the learning DB 25 and provides it to the user by referring to the learning history DB 26 among the problems of the corresponding learning. At this time, students can randomly select among questions that the learner has not approached, or problems with few accesses. In addition, learning is performed by automatically changing the level of the next submitted question according to the correct or incorrect answer to the question. And, the learning history generated in the learning process, for example, the learning history including data on the learning items for each learner, the learning level, the learning date, the learning range (area), learning problems, correct answers and incorrect questions The learning history is controlled to be stored in the DB 26, and at the same time, the learning rate, the correct answer rate, and the total rating for each learner are stored for the corresponding learner, and the data for the number of accesses for each of the plurality of questions are also matched with each corresponding problem. do.

The learning system according to the present invention employs a computer, and a user can learn using a personal computer, as shown in FIG. 1, and main control of the learning system 20 through a communication network 15 such as the Internet. In this case, the learning system 20 is constructed as a server, and the main control means 21 included in the server is constructed as a web server to respond to a user's request through the communication network 15. do.

FIG. 2 is a flowchart showing the entire learning method according to the present invention. Referring to FIG. 2, in the learning method according to the present invention, a user selects a learning item such as a grade and a subject, and initially, a multi-square for the selected subject. While performing the learning, the learner's learning level is automatically determined, and based on the determined learning level, the overall flow of the proficiency learning and the best learning of this learning is shown.

3 is a page for selecting a subject after logging in during learning according to the present invention. Referring to FIG. 3, the page first appears after the user logs in regardless of whether the user uses a communication network.

4 is a flowchart showing the basic learning method of the present learning of FIG. 2, FIG. 5 is a flowchart showing the multi-square learning method of FIG. 4, and FIG. 6 is a flowchart showing another multi-square learning method of FIG. .

FIG. 7 is a diagram illustrating a classification table of a learning DB. Referring to FIG. 7, the learning DB 25 of the present invention stores problems classified into learning items (general students) and learning subjects, learning ranges, and learning levels. The learning items are classified into a plurality of items such as a major classification (ho), a middle classification company, and a small classification (topic), and the learning scope is divided into a plurality of units such as a large unit (ho), a discontinued company, and a subsection (topic). This subsection has a plurality of questions linked by topic. Each of these multiple questions is categorized as a learning level, which is described below as basic identification (G), basic application (F), basic learning (E), basic identification (D), and basic application. It is classified into a plurality of learning levels such as (C), simple application (B), and complex application (A). In addition, the learning DB 25 includes the summary data for each subsection (topic). Such a learning item, learning range, learning level is not limited as described above, but is an example of the present invention.

FIG. 8 is an explanatory diagram of the multi-square problem of FIGS. 5 and 6, and FIG. 9 is an exemplary diagram of the learning problem term for each learning level.

10 is a block diagram of a learning history of the learning history DB. Referring to FIG. 10, the learning history DB 26 includes a learner, a learning item, a learning level, a learning date, a learning range (area), a learning problem, and a correct answer processing. The details corresponding to the learning results are stored for each learner, including problems and incorrect processing problems. In addition, data about the number of accesses and the date of access for each problem that occurs every time is also stored.

FIG. 11 is a flowchart showing a method of learning the proficiency of the present learning of FIG. 2, and FIG. 12 is a flowchart showing the best learning method of the present learning of FIG.

The operation according to the present invention configured as described above will be described in detail below with reference to FIGS. 1 to 12.

The present invention refers to a database in which a plurality of deformation problems are pre-established for different levels of learning, submits a random question based on the number of accesses and the date of access, and then according to the learner's correct or incorrect answer to the problem. After automatically determining the level of the question, students will perform multi-square learning based on the determined level, the number of times, and the date of access.

1 and 2, the multi-square learning method based on the learning level and the deformation problem according to the present invention may be used by a user logging in from a personal computer. Alternatively, the client 10 may use a communication network such as the Internet. In this case, the user may log in and use the main control means 21 (or web server) of the learning system 20 (or server) through the communication network 15. In this case, the user may use the communication network 15. When the client 10 accesses the server 20, the learning can be performed by providing the web page corresponding to the learner's selection by the web server 21 in the server 20.

As described above, a process of performing a learning method after the user accesses the learning system according to the present invention will be described in detail.

First, in the first step (S50, S100, S200), if the learner is a non-registered learner, the learner selects a new subscription to enter their information, in response to the learning system 20 receives a subscription to the member DB (24) The member information input by the user is stored in the member DB 24. Thereafter, a newly registered member needs to log in in order to learn. In this case, the main control unit 21 (or the web server) of the learning system 20 is inputted with reference to the ID and password stored in the member DB 24. If the user is a member, log in so that the user can learn.

Thereafter, the learner selects a learning item and a subject in order to perform the actual learning, wherein the learning item corresponds to an item selected before the actual subject is selected. For example, the learning item is illustrated in FIG. 7. As such, it corresponds to a large category such as a student or a general class, a middle class such as a high school student or a junior high student, and a small category such as first grade and second grade.

Therefore, when a student selects a large category such as a student or a general class, and selects a student, selects a medium category such as a high school student or a junior high school student. After selecting the actual subjects can be selected, as described for example the learning items corresponding to one embodiment of the present invention, can be classified into various other items, the present invention is classified in the above-described learning item classification It is not limited.

After logging in, the learner selects a desired learning subject from the page for selecting a subject as shown in FIG. 3 to perform a learning on the selected learning subject as follows.

Then, the second step (S311 of S300) corresponds to the basic learning step (S311) of the main learning step 310 shown in Figure 4, in this step (S311-1 ~ S311-4) to the learner's selection According to the learning level and the scope of learning according to the learning DB (25), the multi-square learning to determine the level of the next question, depending on whether the correct answer to the questions, to perform a multi-square learning, and learn the learning results The details are stored in the DB 26.

5 and 6, the multi-square learning method according to the present invention will be described in detail.

First, referring to FIG. 5, one embodiment of the multi-square learning method will be described. In step 21 (S51), a random problem having a predetermined learning level is selected from the learning DB 25, but the problem is submitted. The city selects any of the problems within a predetermined level from among the ones having the oldest access days and the few times the number of accesses based on the problem access date and the number of accesses of the learning content DB 26.

The learning DB 25 referred to when the question is asked is classified into learning ranges such as learning items, learning subjects, chapter members, issue members, subsections (topics), and also includes a plurality of basic levels and higher levels. A plurality of questions, classified as learning levels, are prepared and stored in advance. According to this, the learning control means 22 can read the problem corresponding to the learning level within the learning range with reference to the learning DB 25.

Next, in the twenty-second step (S52), the learning control means 22 outputs the problem selected in the twenty-first step (S51) to a monitor (not shown) of the learning control system 20 or through the communication network 15. It is output to the learner's terminal to be asked to the learner.

Next, in the twenty-third step (S53), the learner inputs the answer check for the question, the input information is provided to the learning control means 22 to process the input.

In step 24 (S54), it is determined whether the inputted checked answer is a correct answer or not, and the result of the determination is connected to the learning history DB 26 together with related data as shown in FIG. Save it.

Next, in step 25 (S55, S56), it is determined whether the current problem is the last problem. For example, if 40 problems are set, it is determined whether the 40th problem is the last problem. In the case of correct answers, the learning level is increased by one level. In the case of incorrect answers, the learning level is decreased by one level.

Referring to FIG. 8, an example of multi-square learning will be described. After question 1 (first problem), which is a variation of the basic learning level E, is asked, if the answer is correct by the learner, the level is increased by one level. If problem 2 (second problem), which is one variation of the basic application level (D), is asked, and if the answer to this question 2 is incorrect, the problem is lowered by one level, and the problem that is not recently asked, that is, the basic learning level (E) Question 3 (third problem), which is a two-variant problem of), is applied to the learning of the present invention as a whole.

In addition, in the twenty-fifth step S56, when the problem level is changed according to the correct answer, the present level is the highest or lowest level. When the current level is the highest level during the correct answer processing, the current learning level is determined. If the current level is the lowest level in case of incorrect answers, the current level is determined as the level of learning for the next problem.

In the 26th step S57, when the last problem is the 25th step S56, the learner's level is determined based on the learning result, which will be described with reference to FIG. 9. In the case where 40 questions are set to determine the level of learners in the process, up to level of basic acquisition (G), level of basic application (F), level of basic learning (E), ..., complex application level (A), If the correct answer is 2, 8, 20, ..., 0, in this case, the basic learning level (E) corresponding to the most terms is determined as the learner level, and then the learning process is terminated.

Here, the description has been described with respect to the corrected number of examples, on the other hand, it is also possible to determine the level of learning based on the number of the incorrectly corrected problem, the present invention is to determine the number of specific questions of the correct or incorrectly answered problem It is not limited.

Learning history that occurs while performing the multi-square learning described above, for example, learner, learning item, learning subject, learning level, learning date, learning range (area), learning problem, incorrect answering problem and correct answering problem, Then, the data corresponding to each problem and the access date and the number of times of each problem are stored in the learning history DB 26 as shown in FIG. 10.

Meanwhile, another embodiment of the multi-square learning method of the present invention will be described. In another embodiment of the multi-square learning method, steps 21 to 24 described in the above-described embodiment are the same, except for the learning level. Unlike the method of determining the level of learning after performing all of the predetermined problems, the method of determining the level of learning is to determine the level of learning during learning.

This will be described with reference to FIG. 6, after determining whether the learner's check answer for the problem submitted in step 24 (S64) is correct or not, and including the determination result, the learning result is included in the learning history DB 26. In step 26 (S65, S66), the number of correct and wrong questions for each level of learning is checked, and if the checked number of questions is less than the standard number of questions, correct answer processing is performed based on the correct and incorrect judgment. Poetry raises the learning level by one level, and when processing incorrect answers, decreases the learning level by one level and proceeds to the twenty-first step (S61).

The reference number of problems in the twenty-fifth step S66 is set to at least two problems. In the embodiment of the present invention, three problems are set as shown in FIG. 8, whereby the first corrected problem is three problems. The level of abnormality, or the level of three or more questions that were first answered incorrectly, is determined as the reference level of learning. In this way, by determining the learner's level during learning, the learner's level can be determined more quickly.

Next, in step 26 (S67), if the number of questions checked in step 25 (S66) is equal to or greater than the reference number of questions, the corresponding learning level is determined as the learner level, and then the learning process is terminated.

As described above, in the multi-square learning according to the present invention, in order to prevent the continuous question of the same problem when the question is asked, in the present invention, the learning control means 22 is the number of times and the access date for the problem. The access date is stored in the learning history DB 26 in connection with the problem of the learning DB 25, and the access date is old and the number of accesses is small based on the access frequency and the access date stored in the learning history DB 26. We will raise the matter first.

When a learner inputs an answer to a question asked through such a process through a keyboard or a communication network, the learning control means 22 receives the input answer and determines whether the checked answer is a correct answer or an incorrect answer. The learning result including the submitted problem and information about the correct answer and the wrong answer is stored in the learning history DB 26. After performing the basic learning step of the main learning step 310 as shown in Figure 5 proceeds to the standby step (S350).

Next, referring to Figure 11, in the third step (S313 of S300) corresponds to the ability learning step of the main learning step 310, in this step is allowed to learn when the learning level is above the basic level Select the learning range, and perform the multi-square learning in the corresponding learning range of the selected learning level with reference to the learning DB 25, and re-determine the learning level according to the learning result. This learning result is stored in the learning history DB 26.

In more detail, in the above-described ability learning step (S313 of S300), the above-described ranges (reference level ± α level, α = 1 or 2 or 3) corresponding to the determined learning level according to learner's selection In the case of performing multi-square learning as described above, for example, when the level range is "reference level ± 1" and the learner's learning level (reference level) is basic learning (E), the level range to learn is based on It is a range including application (F) level, basic learning level (E) level, basic confirmation level (D) level, and any questions within this level range are answered. To determine, to adjust the level according to the correct or incorrect answers, and to repeat the process of submitting any questions corresponding to the adjusted level, and then stores the learning results in the learning history DB (26). Thereafter, the process proceeds to the waiting step S350 as shown in FIG. 2.

Thereafter, the learning level of the learner is re-determined by the above-described method based on the learning score included in the above learning result, and the learning result is stored in the learning history DB 26. In this way, it is possible to allow the learning of the next level of the basic learning level based on the learning level, but on the other hand, if it is lower than a certain level, for example, the level of basic application (E), that is, the learning level is less than a certain level. In the basic learning step 311 may be allowed to learn the basic learning repeatedly by disallowing the learning of the next step.

Next, referring to FIG. 12, the fourth step (S315 of S300) corresponds to the highest learning step (S315) of the learning step (S300). In this step, learning is performed when the learning level is higher or higher. Allow, select the learning range, perform multi-square learning within the upper level range with respect to the learning range of the selected subject by referring to the learning DB 25, and store the learning result in the learning history DB 26. .

In addition, in the multi-square learning process according to the present invention, the learner can refer to the main theorem for each subsection (topic) of a specific learning range (area) by selection, thereby providing the main theorem for each subject of the learning process to provide an accurate concept. Boost learning efficiency by helping them understand. This problem questioning method is applied throughout the present invention.

As described above, while performing the multi-square learning in the basic learning step (S311) according to the present invention, the learner's level is quickly determined, and if the learning level determined in the basic learning step is higher than the basic level, the ability to allow learning In this ability learning step (S313), the learner re-determines the learner's level while performing multi-square learning within the upper and lower level ranges based on the determined learning level. In the highest learning step (S315), the multi-scale learning is performed in the upper and lower 1 or 2 level ranges based on the determined learning level, and the learning results generated in the learning process are described in the learning history DB ( 26).

According to the present invention as described above, by using a plurality of learning levels and a plurality of questions for each learning level to determine the problem level in response to the correct or incorrect answers by the learner, apply a multi-square learning method of submitting a problem of a predetermined level In this way, learners can learn by level, and at the same time, there is a special effect that can be determined by automatically determining the learner's learning level.

The above description is only a description of one embodiment of the present invention, the present invention is capable of various changes and modifications within the scope of the configuration.

Claims (16)

In the case of an unregistered learner, the first step of applying for subscription, storing member information in the member DB 24, logging in to an existing member with reference to the member DB 24, and then selecting learning items and subjects ( S50, S100, S200); Based on the learner's choice, multi-square learning is performed to determine the level of the next question in accordance with the correct answer to the question. A second step (S300) of storing the learning result in the learning history DB 26; Multi-square learning method based on the learning level and deformation problem characterized in that consisting of. The method of claim 1, wherein the second step A twenty-first step of selecting an arbitrary problem of a predetermined learning level from the learning DB 25; Step 22 to answer the selected question; Step 23 of inputting and processing the student's answer check on the question Determining whether the answer is correct and storing the result of the determination; Judging whether the current problem is the last problem, if it is not the last problem, correcting the learning level by one level, increasing the learning level by one level when incorrect processing, and returning to the twenty-first step; If it is the last problem in step 25, determining the level of learners based on the learning result and then ending the learning process; Step-by-step learning method based on the learning level comprising a. The method of claim 2, wherein the 25 step If the current level is the highest level in the correct answer processing, the current level is determined as the learning level for the next problem. If the current level is the lowest level in the wrong answer process, the current level is determined as the learning level for the next problem. Multi-square learning method based on the learning level and the deformation problem, characterized in that it further comprises. The method of claim 1, wherein the second step A twenty-first step of selecting an arbitrary problem of a predetermined learning level from the learning DB 25; Step 22 to answer the selected question; Step 23 of inputting and processing the student's answer check on the question Determining whether the answer is correct and storing the result of the determination; Check the number of correct and incorrect questions for each level of learning, and if the number of checked questions is less than the standard number of questions, increase the level of learning by one level when correcting and correcting the correct answer. There is a twenty sixth step of lowering the learning level by one level and proceeding to the twenty first step; If the checked number of questions is equal to or greater than the reference number of questions in step 25, determining a corresponding learning level as a learner level and then ending the learning process; Step-by-step learning method based on the learning level comprising a. The method of claim 4, wherein the reference number of questions in the second step is A multisquare learning method based on learning level and deformation problem, characterized in that at least two questions are set. The problem stored in the learning DB 25 according to claim 2 or 4, Classified into the scope of learning, including learning items, learning subjects, large units (issues), suspended company, sub-units (topics) Classify into multiple levels of learning, including basic and higher levels, Each learning level is a step-by-step learning method based on a learning level, characterized in that it comprises a plurality of problems. According to claim 2 or 4, wherein the learning history DB (26) Learner, learning items, learning subjects, level of learning, learning date, learning scope (area), learning problem, incorrect answering problem and correct answering problem, and interconnecting the access date and the number of times by matching each problem Step-by-step learning method based on the learning level, characterized in that the storage. The method of claim 7, wherein the twenty-first step The multi-square learning method based on the learning level and the deformation problem, characterized in that for selecting the problem by referring to the problem date and the number of approaches stored in the learning history DB (26). First step (S50, S100, S200) of accessing the web server 21 through the communication network 15, registering and logging in to the member DB 24 for a new member, and selecting learning items and subjects; The learning range is selected, the full range multi-square learning is performed on the learning range of the selected subject with reference to the learning DB 25, and the learning level is determined according to the learning result. A second step of storing (S311 of S300); When the learning level is above the basic level, the learning is allowed, the learning range is selected, and the multi-square learning is performed within the corresponding level range of the determined learning level with respect to the learning range of the selected subject with reference to the learning DB 25. Performing a third step (S313 of S300) of re-determining a learning level according to the learning result and storing the learning result in the learning history DB 26; When the learning level is higher than the upper level, the learning is allowed, the learning range is selected, and the multi-square learning is performed within the upper level range for the learning range of the selected subject by referring to the learning DB 25. A fourth step (S315 of S300) of storing the result in the learning history DB 26; Step-by-step learning method based on the learning level characterized in that consisting of. The method of claim 9, wherein the second step A twenty-first step of selecting an arbitrary problem of a predetermined learning level from the learning DB 25; Step 22 to answer the selected question; Step 23 of inputting and processing the student's answer check on the question Determining whether the answer is correct and storing the result of the determination; Judging whether the current problem is the last problem, if it is not the last problem, correcting the learning level by one level, increasing the learning level by one level when incorrect processing, and returning to the twenty-first step; If it is the last problem in step 25, determining the level of learners based on the learning result and then ending the learning process; Step-by-step learning method based on the learning level comprising a. The method of claim 10, wherein the 25 step If the current level is the highest level in the correct answer processing, the current level is determined as the learning level for the next problem. If the current level is the lowest level in the wrong answer process, the current level is determined as the learning level for the next problem. Multi-square learning method based on the learning level and the deformation problem, characterized in that it further comprises. The method of claim 9, wherein the second step A twenty-first step of selecting an arbitrary problem of a predetermined learning level from the learning DB 25; Step 22 to answer the selected question; Step 23 of inputting and processing the student's answer check on the question Determining whether the answer is correct and storing the result of the determination; Check the number of correct and incorrect questions for each level of learning, and if the number of checked questions is less than the standard number of questions, increase the level of learning by one level when correcting and correcting the correct answer. In step 25, the learning level is lowered by one level and proceeds to the twenty-first step; If the checked number of questions is equal to or greater than the reference number of questions in step 25, determining a corresponding learning level as a learner level and then ending the learning process; Step-by-step learning method based on the learning level comprising a. The reference problem number of the second step is A multisquare learning method based on learning level and deformation problem, characterized in that at least two questions are set. The problem stored in the learning DB 25 according to claim 10 or 12 is Classified into the scope of learning, including learning items, learning subjects, large units (issues), suspended company, sub-units (topics) Classify into multiple levels of learning, including basic and higher levels, Each learning level is a step-by-step learning method based on a learning level, characterized in that it comprises a plurality of problems. The method according to claim 10 or 12, wherein the learning history DB (26) Learner, learning items, learning subjects, level of learning, learning date, learning scope (area), learning problem, incorrect answering problem and correct answering problem, and interconnecting the access date and the number of times by matching each problem Step-by-step learning method based on the learning level, characterized in that the storage. The method of claim 15, wherein the twenty-first step The multi-square learning method based on the learning level and the deformation problem, characterized in that for selecting the problem by referring to the problem date and the number of approaches stored in the learning history DB (26).