KR100532225B1 - A study apparatus using network and the method thereof - Google Patents

Abstract

The present invention relates to a system and method that can diagnose and manage individual learning effects by providing a step-by-step learning method according to the learner's learning level, ability and achievement through step-by-step learning, evaluation, diagnosis, management, multiple documents and scripts Based on various English documents such as English documents, test data, evaluation data, and previous questions, word hits, sentence hits, fingerprint hits, etc. Extract, classify, and analyze the content, create content data based on this, and present the language learning method step by step according to the learning level, grade, and achievement level among individual learners, and evaluate, diagnose, and manage them. Using the application, begin to lay the groundwork for the language from word learning to sentence learning, the first language basic learning Applied learning is possible in the order of reading learning, listening learning, writing learning, and speaking learning.Independent evaluation of listening, structure understanding, reading, writing and speaking through the iBT test is followed by learner's learning deviation and learning. Because it is a recursive learning method designed to learn the weakness and practice, it is effective to easily grasp the learner's learning level and achievement level and cope with it.

Description

A study apparatus using network and the method

The present invention relates to a learning method using a network, and more particularly, to provide a step-by-step learning method according to learner's learning level, ability, and achievement through step-by-step learning, evaluation, diagnosis, and management to diagnose and manage individual learning effects. It relates to a system and a method that can be.

Recently, due to the nationwide spread of computers, access to various contents of high-speed Internet service has become easy, and accordingly, various kinds of Internet e-commerce, internet video education, and online content education are actively progressed.

In addition, in line with the international community, online users have increased their awareness of the necessity of learning English and requested various learning methods, and various online education contents development and education are actively progressed based on this.

However, such online video and contents education has been replaced with offline learning methods online, so it is difficult to expect a practical learning effect. In other words, if a multimedia program is used as it is, such as a lecture program or a study paper that is executed offline, it can be easily accessible to more learners. In other words, the problem of being unable to cope has emerged.

In addition, as an example, in the case of English education content, the US program, which is the origin of English education, is introduced and applied. However, this has a problem that the learner's learning background and learners' degree of learning and achievement are not considered at all.

In addition, the existing stages of English learning are programmed to be divided into listening, speaking, reading, and writing in order, but since such English learning is limited to listening, speaking, diary, and writing, the achievement of the learner It is not possible to determine the degree and degree of learner's grade at the start of learning, and this learning program is effective for non-English learners because the English language in the mainland English is adapted to the lively program. There is a problem that is falling considerably.

In addition, in the case of existing Internet education contents using multimedia, it is difficult to achieve a practical effect because it is a form of a lecture program or a workbook executed offline, as it is, and it is a one-way education type rather than a direct face-to-face type. There is a problem in that it is impossible to grasp and cope with the degree of achievement and learning.

As described above, in the case of English educational contents, the educational contents of the English-speaking languages are introduced as they are, and the background of the learners, the degree of learning, and the achievement of the learners are not considered. The educational content is focused on the program of English itself in the English mainland, so there is a problem that the effect cannot be expected in the non-English speaking area.

The present invention is a learning method using a network to solve the above problems is a step-by-step learning of the effective language for learners who are learning a language in a different region than the language to be used by the language to learn using the network, The purpose is to provide a learning method using a network that provides evaluation, diagnosis, and management to enable learners to perform the appropriate level of learning.

The present invention extracts, categorizes, patterns, and types based on the base English texts and scripts to secure the reference point of the language learning program, and then divides it into six stages to sequentially learn word learning, sentence learning, reading learning, listening learning, writing learning, After practicing speaking learning, the five types of listening, understanding, understanding of structural expressions, reading and understanding, writing, and speaking are evaluated.

In addition, the present invention classifies the six language programs and five types of test programs for the entire language learning and then makes the degree of learning, thereby increasing the sense of achievement, confidence, security and language density of the learners themselves through word learning and sentence learning. To learn and diagnose applications of reading, listening, writing, and speaking, which are the applications of learning, diagnose the learner's own weakness level, secure only the weakness level, and complete step by step from the first language learning to proficient language speaking. The purpose is to.

At the same time, the objective is to provide a level that can cope with various tests that exist in advance of the actual test by matching the difficulty of the actual test.

In order to achieve the above object, the present invention provides a learning method through an internet network that allows a learner to learn by using contents provided by a predetermined website through an internet network, and registering a member and downloading a correlation network application. Web server 12 displaying the status, execution status, learner's (member's) personal information, and the like, extraction and classification stages of initial learning data, addition of learning data and learning information of learners (members), data scale, which is a concept of preservation, It consists of the content server 11 which manages and manages the organic network between the operator and the learner, and the intelligent automatic diagnosis engine 40 which manages the diagnosis from the beginning of the initial learning to the level increase, and manages the network, maintains the network connection, and manages the data. A server 10 having a database 22 and a member database 21; When a learner wants to learn by accessing a website provided by the server 10, the questionnaire frequency, sentences, and fingerprints are based on the data stored in the study database 22 based on data such as examinations, evaluations, and past questions. Intelligent automatic extraction / classification engine 30 which provides content to learners by extracting types of short sentences, correct answers, etc .; And an intelligent automatic diagnosis engine 40 configured to analyze the results of the learner's learning and test applications to identify the degree of vulnerability, individual deviation, level, and the like so as to proceed with the learning step by step. Provides a learning device used.

In the method for providing learning content so that learners can access a website providing predetermined content through the Internet, the intelligent content extraction / classification engine (word) 30 and the intelligent automatic extraction / classification are provided. Extracting and classifying any one of words and sentences through the engine (sentence) 30 (S100); Step 110 (S110) of preferentially learning a word or a sentence by a learning application in a state where the word or sentence is extracted and classified in step 100; Step 120 (S120) of proceeding with reading, listening, writing, and speaking after learning words and sentences by an application through step 110 (S110); After performing each learning step through step 120 (S120), if the iBT test is eligible, the server 10 performs the iBT test for listening and understanding, understanding structure expression, reading and understanding, writing, and speaking. Proceeding to step 130 (S130); Step 140 (S140) of diagnosing a result of an iBT test through intelligent automatic test diagnosis through step 130 (S130); If the server 10 has passed the test through step 140 (S140), if it passes, the process proceeds to the next step, and if it does not pass, the 150th step (150) for selecting whether to retry the iBT test. ; If the test passes through step 150 (S150), the server 10 upgrades the intelligent automatic test grade and ends the iBT test in which the information of the member whose grade is up is stored in the member database 21 (S160). It provides a learning method using a learning method using a network, characterized in that consisting of.

Hereinafter, a learning method using a network according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing a configuration of a learning apparatus using a network according to the present invention. As shown in FIG. 1, the present invention provides a plurality of learners who learn using content provided by a website connected through a network. A computer and a server 10 for providing predetermined learning contents through a network are provided.

The server 10 is composed of a web server 12 and a content server 11, the web server 12 is a member, through the computer connected to the network between the learner and the operator, whether or not to download and execute the correlation network application Mainly responsible for displaying the current status, learner (member) personal information, etc.

The content server 11 is the first data extraction, classification and learning data and the addition of learning information of the learner (member), the scale of the database, the concept of preservation, the organic network with the web server 12 between the operator and the learner, the first learning It manages the correlation network system up to the content server 11 which manages and connects the intelligent automatic diagnosis engine 40 which diagnoses and manages from the start to the grade increase.

By using the content provided by the server 10, the personal information data for a plurality of learners and a database 20 storing data necessary for the learner to proceed with the learning is configured. The learning database 22 stores the data necessary for learning so that a plurality of learners using the contents provided by 10 may proceed with the desired learning, and the server 10 to determine whether the learners connected through the network are active members or non-members. ) Is divided into a member database 21 in which the data of members who have subscribed to the website provided by) is stored.

When a learner wants to learn by accessing a website provided by the server 10, the frequency of questions and sentences based on the data stored in the study database 22 based on data such as a test, an evaluation, and a written question. Intelligent automatic extraction / classification engine 30 that provides content by extracting types of fingerprints, short sentences, and correct answers, and analyzing the results of learner's learning and test applications to identify vulnerabilities, individual deviations, levels, etc. It consists of an intelligent automatic diagnostic engine 40 for diagnosing to proceed with learning.

When the learner learns using the learning apparatus illustrated in FIG. 1, a plurality of learners access a server 10 through a network using their own computers, and access the server 10 to learners. The user logs in so that the user can identify whether the member is a regular member or a non-member who can use the contents provided by the server 10, and the server 10 can use the contents provided by the server 10 by recognizing the member as a regular member. To qualify.

After the learner logs in, the language practice learning application provided by the server 10 is executed on his computer, and the server 10 connected to the plurality of learner applications through the network is a database (member, learning data, etc.) 20 ), Intelligent automatic classification / extraction engine and intelligent diagnostics, connection to management engine and data flow control.

When the learner wants to learn by using the contents provided by the server 10, the server 10 determines which language the learner has selected and proceeds with the learning database 22 for the selected language. .

The server 10 performs a test learning to determine how much the learner's grade (beginner, intermediate, advanced, superlative, etc.) before proceeding to the learning, and proceeds to the grade determined through the test learning .

Based on the data stored in the test database 22, such as the test, test questions, and questions stored in the test state of the learner, the learning frequency content and the type of sentences, fingerprints, short sentences, correct answers and the like to generate the learning information content Learners to learn according to the learning needs.

In addition, the test is displayed through the application, in this case, the listening and understanding test is to measure the learner's listening ability, to hear a sentence or dialogue within a predetermined time, and to talk to a given question. Test the ability to identify the basic forms of subjects, verbs, object and sentence, the individual structures of subjects, verbs, object prepositional phrases, noun phrases / phrases, adjective phrases / phrases, and adverb phrases / phrases. Measures the ability to grasp the subject, intention, and the subject of the text, and the writing test measures the ability to express in writing on a given subject.

The writing test measures the ability to express in writing about a given question or topic. In the case of speaking writing, the learner tests language ability to express his or her thoughts in words on a given question or topic.

Figure 2a is a structural window showing a state in which a word learning application is executed in the learner's computer according to the present invention, Figure 2b is a structural window showing the result according to Figure 2a, Figure 2c is a sentence in the learner's computer according to the present invention FIG. 2D is a structural window showing a state in which a learning application is executed in a learner's computer according to the present invention, and FIG. 2E is a listening learning application in a learner's computer according to the present invention. 2 is a structural window showing a state in which a test application is executed in a learner's computer according to the present invention.

2a and 2b shows that executing the word learning application, after storing the data necessary for the word learning, various tests and evaluation data, past questions, etc. in the database 20, the intelligent word extraction engine this is the frequency of questions asked Extract and classify according to, and the application classifies words extracted from the engine by parts and grades and displays them on the screen, and the learner preferentially learns high-frequency words according to each grade. Allow the test to proceed in parallel.

The sentence learning application of FIG. 2C is extracted from various evaluation data data stored in the database 20 by the intelligent sentence extraction engine, and the sentence learning is given from a given sentence to find a verb, a conjunction, and the like. Develop the ability to identify individual structures (subjects, verbs, objects, prepositional phrases, noun phrases / clauses, adjective phrases / clauses, adverb phrases / clauses).

In addition, the reading learning application of FIG. 2D adds a speed reading method based on word and sentence learning, and is intended to increase the ability to quickly grasp the flow, structure, theme, etc. of the entire text, rather than the structure of individual sentences.

Listening learning of Figure 2e is based on the accent, accent, breathing, speech based on one breathing method per sentence unit based on one breathing learning is made, the application is the accent, stress, etc. of words and sentences It is displayed on the screen so that learners can see it and learn and train words and sentences in accent and stress.

In addition, writing learning is given by using the word rest chart, and learns how to express the structure of sentences composed of verbs, object words, prepositional phrases, noun phrases / clauses, adjective phrases / clauses, and adverb phrases / clauses. In addition, speaking learning is based on the vocalization method, and the speech learning is conducted according to the expression method for each structure of the sentence.

Hereinafter, the learning process provided by the system will be described in detail with reference to the accompanying drawings.

3 is a flowchart illustrating a learning method using a network according to the present invention step by step, Figure 4 is a flowchart showing the steps of testing the learner's learning ability to perform the learning method using the network according to the present invention, Figure 5 Is a flowchart illustrating a process of classifying existing data and new data by the server 10 in a learning method using a network according to the present invention, and FIG. 6 is a flowchart illustrating a process of executing a practice learning application according to the present invention. 7 is a flowchart illustrating a process of executing an application test application according to the present invention, and FIG. 8 is a flowchart illustrating a process of executing an iBT test application according to the present invention.

As shown in FIG. 3, when the learner accesses a website in order to use contents provided by the server 10 through a network, the server 10 determines whether the member is a full member or a non-member, and induces membership recommendation if the member is a non-member. If you are a regular member, provide content so that you can learn.

In order to proceed with the learning provided by the server 10 as the learner is determined to be a regular member, the server 10 drives an intelligent automatic word and sentence extraction engine so that the learner can learn based on the data stored in the database 20. Extract words, classify words to fit the learner's desired learning from the extracted words, and extract sentences in the same way as extracting the word in case the learner learns sentences, and extracts the learner from the extracted sentences To perform the desired level or learning to perform a 100 step (S100) to provide a sentence extracted in accordance with the direction.

In the state of extracting the words and sentences extracted in step 100, the server 10 determines whether the learner has selected word learning or sentence learning, and provides data on the word or sentence learning selected by the learner. Even when the sentence is selected and the word is selected again, the learning is provided according to the requirements of the learner, and the learning provided is performed in step 110 of providing a practice learning.

In step 110 (S110), a practice learning is performed, and in step 120 (S120) of providing learning so that a learner can proceed with learning about reading, listening, writing, and speaking.

When the learner proceeds to the learning in step 120 (S120), the learner does not perform reading, listening, writing, or speaking step by step, but the learner may select a desired step first, but the stepping in the server 10 may affect the learning effect. It provides a guide that can be obtained the maximum effect to allow the step-by-step learning provided by the server 10 to proceed.

In addition, when the learner selects another step in which the learner ignores the steps sequentially provided by the server 10 in the server 10, for example, the listening learning application is selected, the server 10 learns about listening. It provides learning to proceed, and the learner chooses whether the learning is a word or a sentence, for example, when learning words for nouns, adjectives, verbs, etc. When the learner's vulnerabilities are checked, the study focuses on weak parts of words such as nouns, adjectives, and verbs.

And if you choose to learn about the sentence, the difficulty level of the sentence is determined by the server 10 according to the grade checked during the practice learning to provide sentences by grade using an intelligent automatic sentence classification engine.

In addition, in the above sentence, the learner can learn about a particularly vulnerable part so that the learner can proceed to the vulnerable part, and if the learner selects other learning to proceed with another learning while the selected learning is completed or not completed. The server 10 sends a warning message to allow the learner to select another lesson while completing the selected lesson.

If the warning message is ignored, the server 10 proceeds to learn the learner selected by the learner, and if the learning progressed is a listening learning and the learning selected by the learner is a read learning, the corresponding learning may be performed. To provide.

If the learner selects the iBT test using the content provided by the server 10 to test the iBT (iBT: Internet-Based Test) TOEFL test in the state where the step-by-step learning is completed, In step S130, the server 10 may identify the information and provide the iBT test.

In this case, the test method provided is provided in the same manner as the iBT TOEFL test so that the learner can prepare for the iBT TOEFL test, and the provided steps include listening, understanding, understanding structure expression, reading, understanding, writing, and speaking. Provide iBT tests in order.

In the state in which the iBT test is completed, the learner performs a step 140 in which the server 10 informs the test diagnosis result of how much their score is, how much the grade is, and which part is vulnerable. .

The result of which part is vulnerable in the result of the test in step 140 (S140) is determined based on the scores for listening, expression, reading, writing, and speaking provided through step 130 (S130). It informs the cognitive and includes the contents of the vulnerable parts of each listening, expression, reading, writing, and speaking so that the learner can grasp them, and when learning through the contents provided by the server 10 This is to make up for the weak points.

In step 150, if the result of the test is passed, the result of the test is displayed by the score, and if the test is not passed, the server 10 retries to select whether to test again. (S150).

If the retry is selected in step 150 (S150), the server 10 performs step 130 again to perform a new test, and if the retry is not selected, it is determined that there is no changed level and the test is performed. Quit.

If the test passes in step 150 (S150), step 160 (S160) is performed to correct the learner data and store it in the member database 21 so that the intelligent automatic test level is increased (UP) to proceed with learning according to a new grade.

The intelligent automatic extraction / classification engine (words, sentences) 30 stores the words and sentences in the database 20 to be transmitted and used in the practice learning application, and in the basic practice learning application by repeatedly practicing from the word learning, Sentence learning is based on what you learn in vocabulary learning during the passage.

If you pass all the basic learning applications, based on what you have learned from sentence learning, you will learn reading, listening, writing, and speaking in sequence. If you pass the speech learning course, the last step of the practice learning application, iBT test You will be given the qualification to see the test, and based on what you have learned in the practice learning application, you will be tested in the order of listening, understanding, understanding structure representation, reading and understanding, writing and speaking.

The application may be divided into a learning application and a test application. The learning application may be performed in the order of words, sentences, reading, listening, writing, and speaking, and the data required for learning may be obtained by an intelligent word sentence extracting engine. The learner performs the learning at each stage and must pass the current stage to move on to the next stage. If you do not pass the current learning phase, you will have to go through the learning process again.

And word and sentence learning is based on the data obtained from the intelligent word / sentence extraction engine learning by the structure of words and sentences, and the addition of speed reading training proceeds to the learning of reading, the listening learning accent, accent, breathing Listening learning of words and sentences is made on the basis of one breathing method, which is a phonation method for each sentence unit based on speed, and the writing learning compares the expressions of the structures of letters using a word restraint by the sentence structure frame. It consists of the process of explanation, and the learning of speaking is conducted by adding a word chart based on the speech method.

The test results are applied to the intelligent automatic test diagnostic engine, and the results and analysis are displayed to the user, and the decision is made to pass.In the case of the pass, the iBT test is rechallenged by increasing the student's achievement and level and retrying in case of failure. Learners can cultivate learning ability.

And before the iBT test, the test is performed to determine how much the learner's grade is. At this time, when the learner accesses a website using a computer as shown in FIG. 4, the content provided by the website is provided. In order to check whether or not the member subscribed to the website in order to use the server 10 to log in to determine whether or not a regular member.

If the learner who logs in is determined to be a non-member, the server 10 instructs the learner to join the member, and if the learner is a regular member, enables the content provided by the website through the login process.

The server 10 confirms that the user is a registered member by logging in, and determines whether the application is installed in the learner's computer connected through the network (S200), and if the application is not installed, the server 10 ) Downloads and installs a program capable of executing an application on the learner's computer, and if the application is installed on the learner's computer, transmits a source for executing the learner's computer to run the application. To perform the learning / testing step S210 (S210).

The server 10 allows the learner to select whether to learn or test while the application is executed, and if the learner chooses to execute the learning, the learner can learn through the application. Learn as described in

In addition, as shown in FIG. 1, when the learning is completed, the server 10 displays how much learning ability the learner computer has on the result of the learner's learning process so that the learner can grasp the learning ability.

In addition, when the learner wants to test in the process of selecting whether to learn or test, the test is performed as described in FIG. 2, the test result is diagnosed, and the learner can view it. The display is performed through the learner's computer so that the learner can determine how much his or her learning ability is, and the learner also displays the result of which part is vulnerable (S230).

When the learner accesses the website and executes an application without logging in as mentioned above, the learner checks this in the server 10 and causes the learner to log in to perform the learning or test. If the learner who executes the application and logs in is a non-member, not a regular member, step 240 is performed so that the learner can continue learning about the membership or continue to test.

As mentioned in FIG. 4, when the learner finishes the learning or the test, the server 10 distinguishes between the existing data and the newly generated data. In this case, the server 10 displays the server (as shown in FIG. 5). Existing data in 10) loads the data in conjunction with the learning database 22, and newly created data is collected through the Internet network, documents provided by the website, or a process of manually inputting multiple documents or learning. The data stored in the database 22 is selected, and the documents collected at this time collect various types of documents so that the learner can perform various learning.

The server 10 first determines whether it is a word or a sentence based on the data acquired through the Internet network, and is classified into a word and a sentence in the determined state to be classified into the word and the sentence. Words and sentences are extracted through an intelligent automatic sentence extraction processor (S310).

The sentence extraction retrieves data through a processor of an intelligent automatic sentence extraction engine, and classifies sentences through periods, question marks, exclamation marks, and the like.

The data extracted by the intelligent word extracting processor or the intelligent sentence extracting processor is identified as new data or existing data.

If the data is new data, the data is stored through an intelligent automatic word / sentence and classification / storage processor.In the case of existing data, the word and sentence hits are added to the existing frequency through the intelligent automatic frequency increasing processor. The upgrade process is performed while saving the database (S320).

As shown in FIG. 5, the learner performs the test process, grasps the learner's grade obtained through the test process, and improves the learning ability by using the contents provided by the website in order to improve the grading level. In order to incubate the learning through the steps as shown in FIG.

As shown in FIG. 6, a learner accesses a website providing content using his computer to learn through a network, and the learner accesses or uses a content provided by the website, or is a non-member. In order to determine the recognition server 10 invites the learner to enter the ID and password.

When the learner's ID and password are input, the server 10 analyzes the ID and password stored in the member database 21 to determine the presence of the member, and in the case of the member, can use the contents provided by the website. Grant authority.

The application is executed on the learner's computer so that the authorized learner can learn through an application (a program for proceeding word learning, sentence learning, reading learning, listening learning, writing learning, and speaking learning).

When the application is executed on the learner's computer, the learner may learn by first learning a part that he or she thinks to be vulnerable, and sequentially providing the information by the server 10 (S400).

When the learner learns through the application, the server 10 searches for data according to the learner grade stored in the member database 21, and extracts data necessary for learning through the search database 22 through the searched data. (S410)

Based on the data extracted through the learning database 22 according to the learner's grade, the learner applies data to an application running on the learner's computer so that the learner can execute the learning according to the grade. S420)

Through the application running on the learner's computer through the step of providing a word, sentence, reading, listening, writing, speaking on the server 10, or to learn the part that the learner is vulnerable first, As soon as the learning is completed, the test is used to determine whether the learner's grade has been upgraded.

In the state of grasping the result of the learning through the application, the intelligent automatic analysis process is driven to the member database 21 to determine whether the data is higher than the current level, maintains the current level, or is lower than the current level. Save it.

At this time, the stored data stores the learners' grades and grades together to store the data for each learner's ID so as to determine how many grades each time the learner performs the test and how much the grade is at that time.

After the learner's data is stored through the intelligent automatic analysis process, it is determined whether an appropriate grade or more is obtained, and whether or not the learner passes the test is determined based on the determined data.

The intelligent automatic analysis process determines whether or not the test passes, and if the test does not pass, the learner can select whether to continue learning through the application again or terminate the application to stop further learning. (S430)

If the test passes, the server 10 asks the learner to start the iBT test, and if the user selects not to start the iBT test, the application running on the learner computer is terminated. As shown in FIG. 7, if the iBT test and the continuous learning process are stopped, and the learner selects the iBT test, the server 10 performs a process of extracting test data according to the user level so that the learner can proceed with the iBT test. To execute (S440).

The iBT test executes a process for allowing the iBT test to be made to the learner who has learned and passed the test for learning or logging in to the website and immediately executing the iBT test (S450).

Through the test data extraction process according to the user level, the test problem is submitted through the application running on the learner's computer so that the iBT test can be received through the test problem. Load the stored data into the database and provide it to the learner.

The server 10 is based on the conclusion of a contract that the learner will use the data provided by the test question bank in advance to provide data stored in the question bank, the server 10 to provide to the learner through the question bank The city extracts the problems by question bank type by difficulty and provides them to learners.

The data provided through the question bank is classified and provided through searching for commas, question marks, exclamation marks, specific words, idioms, and the like.

The server 10 primarily stores the data loaded from the database of the question bank in the learning database 22 of the server 10, and displays the stored data through the learner's application, which is displayed through the application. The problem is that the problem is not stored on the learner's computer but is only displayed, and the problem displayed through the application prevents any action that can be stored by the copying function of the computer's functions.

In the state where the learner solves the problem through the application and solves the problem, the server 10 compares the correct answer data according to the problem and scores the score based on how correct or incorrect.

The server 10 determines whether the iBT test has passed or failed through the intelligent automatic evaluation / analysis process in the state where the scoring is completed, and a message indicating that the server 10 has passed to the learner about the result judged by the server 10. Alternatively, a message indicating that the test did not pass is displayed to inform the result of the iBT test.

If the learner passes the iBT test in the result, the server 10 upgrades the learner's grade and stores it in the member database 21, and the data stored in the member database 21 is the iBT test grade and grade. And so on.

If the learner does not pass the iBT test, the server 10 displays the learner's grades and grades of the iBT test and displays the result of failing the iBT test along with the grades not being upgraded. The data on the result is stored in the member database 21.

Displaying the pass and fail data to the learner and storing it in the member database 21 is performed at the same time. The pass and fail data is stored in the member database 21 and the result is confirmed through the learner computer. In this case, it is preferable to store the data in the member database 21 and then display the result to the learner.

The iBT test result is displayed on the learner's computer, and the result of the learner's individual score is transmitted to the test question bank database for storage, and after the data is authorized, the server 10 determines whether the iBT test has passed the test. If the result is displayed and the result is passed, the application of the learner computer is terminated (S470).

However, if the learner does not pass the iBT test and decides whether to retry the iBT test, and the learner selects the retry, the server 10 sends the data to the test question bank to perform the test according to the user grade. Extract test data from your database so you can run iBT again. If the server 10 selects that the learner will not retry the question of whether to retry the iBT test, the server 10 terminates the learning application running on the learner's computer.

As shown in FIG. 6, the iBT test can be performed only by performing a learning application, and the steps of the iBT test are followed by listening and understanding, understanding structure expression, reading and understanding, writing, and speaking test.

The learner performs the iBT test step by step, and the result is evaluated by the intelligent diagnostic engine to determine whether the test passes.If the test does not pass, the test process is performed again from the beginning to cultivate the learner's learning ability. For this purpose, learners are fully aware of what they are learning.

The listening and understanding test measures a learner's listening ability, and listens to a sentence or conversation and answers a given question, and the structural expression understanding test is a subject, a verb, an object and an individual structure of a sentence, Tests the ability to identify verbs, objects, prepositions, noun phrases / phrases, adjective phrases / phrases, adverb phrases / phrases.The reading and understanding test measures the ability to express in writing about a given question or subject. Learners test their language ability to express their thoughts verbally about a given question or topic.

Upon completion of the learner's test, the server 10 evaluates the results based on the results of the grades and the test questions generated by completing the iBT test with a test result diagnosis engine, and provides the learner with the diagnosis result as shown in FIG. 8. As shown.

As shown in FIG. 8, when data about the test result of the learner is applied to the data analysis engine of the server 10, an intelligent automatic test analysis process is executed to evaluate and analyze the test result. )

The pattern of the learner is extracted based on the data evaluated through the intelligent automatic test analysis process, and data is applied to the individual evaluation process and the personal evaluation statistics process through the pattern (S510).

The data authorized in the personal evaluation process is applied to the member database 21 and stores the results of the learner individual based on the learner ID.

When the pattern is applied to the personal evaluation statistics process, the personal evaluation statistics process calculates the statistics in conjunction with the database of the test bank, extracts the pattern / person evaluation data on the calculated statistics, and extracts the extracted patterns / persons. Final statistics are calculated on the evaluation data using the final statistical result process (S520).

When the final statistics are calculated, the result is displayed to the learner, and the final statistical result is displayed to the learner by comparing the pattern / personal evaluation data with data on the propensity of the master past problem (S530).

As mentioned above, the learner accesses a website that provides a predetermined content and develops the learning ability through the contents provided by the website, and when the learning ability is considered to be upgraded or during the course of completing the learning. In the case where the grade is improved in the result of the test, the learner goes through the iBT test so that the learner can prepare for the iBT test.

The method through the configuration and steps of the present invention is not limited to the iBT test, and the description of the configuration and steps of the present invention has been described with an example of iBT test to help understanding. The configuration and steps of the present invention Kindergarten and elementary school students , Junior high school students, high school students, college students, graduate students, and the general public can combine the learning as necessary, and can do the learning as above, and also, the language is not limited to using a lot of English, etc. Can do whatever it takes.

Looking at the effects of the learning apparatus and method using the network according to the present invention, the pattern and type of the number of word hits and sentence hits to create a reference point based on the existing various English documents and scripts to extract and classify the Internet and commercial applications It can be used to easily cope with the learner's level of learning and achievement.

In addition, by using commercial applications, beginning with the basic language of the basic language learning, from word learning to sentence learning, learning to read, listening and writing. Applied learning is possible in order of speaking learning, and it is designed to identify learner's learning deviation and learning weakness and practice learning by using individual diagnosis program after individual evaluation of listening, structure understanding, reading, writing and speaking through iBT test. Since it is an expression learning method, it is effective to easily grasp and respond to the learner's level of learning and achievement.

In addition, because it is a new paradigm programmed based on the reference point, it is learned according to the degree of demand as well as the weak part of the learner, and the learner can predict and evaluate the learning level by himself.

1 is a block diagram showing the configuration of a learning apparatus using a network according to the present invention.

Figure 2a is a structural window showing a state in which the word learning application is executed on the learner's computer according to the present invention.

Figure 2b is a structural window showing the results according to Figure 2a.

Figure 2c is a structural window showing a state in which a sentence learning application is executed in the learner's computer according to the present invention.

Figure 2d is a structural window showing a state in which a read learning application is executed in the learner's computer according to the present invention.

Figure 2e is a structural window showing a state in which a listening learning application is executed in the learner's computer according to the present invention.

Figure 2f is a structural window showing a state in which a test application is running on the learner's computer according to the present invention.

Figure 3 is a flow chart illustrating a step-by-step learning method using the network according to the present invention.

Figure 4 is a flow chart illustrating the step of testing the learner's learning ability to perform the learning method using the network according to the present invention.

5 is a flowchart illustrating a process of classifying existing data and new data by a server in a learning method using a network according to the present invention.

Figure 6 is a flow chart illustrating a process of executing a practice learning application according to the present invention.

7 is a flowchart illustrating a process of executing an application test application according to the present invention.

8 is a flowchart illustrating a process of executing an iBT test application according to the present invention.

* Description of the symbols for the main parts of the drawings *

10: server 11: content server

12: web server 20: database

21: Member Database 22: Learning Database

30: intelligent automatic extraction / classification engine 40: intelligent automatic diagnostic engine

50: student computer 60: question bank

Claims (10)

What is claimed is: 1. A system for providing learning content so that a learner can access a website that provides predetermined content through an internet network and perform learning. Web server 12 displaying membership registration, download of correlation network application, execution status, learner (member) personal information, extraction of initial learning data, classification and addition of learning data and learning information of learner (member) Data management, management, and the management of the organic network between the operator and the learner. A server 10 comprising a content server 11 and having a learning database 22 and a member database 21; When a learner wants to learn by accessing a website provided by the server 10, the questionnaire frequency, sentences, and fingerprints are based on the data stored in the study database 22 based on data such as examinations, evaluations, and past questions. Intelligent automatic extraction / classification engine 30 which provides content to learners by extracting types of short sentences, correct answers, etc .; And Analyzing the results of the learner's learning and test applications to identify the degree of vulnerability and individual deviations, levels, etc., using an intelligent automatic diagnostic engine 40 for diagnosing to proceed with learning step by step using the network, characterized in that Learning device. delete delete Claims [1] A method for providing learning content so that a learner can learn by accessing a website that provides a predetermined content through an internet network. Step 100 of extracting and classifying any one of words and sentences through intelligent automatic extraction / classification engine (word) 30 and intelligent automatic extraction / classification engine (sentence) 30 (S100). Step 110 (S110) of preferentially learning a word or sentence through a learning application in a state in which the word or sentence is extracted and classified in step 100; Step 120 (S120) of proceeding with reading, listening, writing, and speaking after learning words and sentences through an application through step 110 (S110); If the iBT test is qualified after performing each learning step through step 120 (S120), the server 10 iBT test for listening and understanding, understanding structure expression, reading and understanding, writing, and speaking. 130 to proceed (S130); Step 140 (S140) of diagnosing a result of an iBT test through intelligent automatic test diagnosis through step 130 (S130); If the server 10 has passed the test through the step 140 (S140), if the server 10 passes the next step, and if it does not pass, the 150th step of selecting whether to retry the iBT test (S150) ); If the test passes through step 150 (S150), the server 10 upgrades the intelligent automatic test level and ends the iBT test in which the information of the member whose rating is up is stored in the member database 21 (step 160). S160); learning method using a network comprising a. delete delete The method of claim 4, wherein The process of extracting words and sentences includes intelligent automatic word classification extraction engine, intelligent automatic word classification engine, intelligent automatic sentence classification engine, and intelligent data obtained from manually inputted multiple documents and data obtained by the learning database 22. Generating a data through an automatic sentence extraction engine (S300); Class 310 (S310) classifying words and sentences obtained through operation S300 and extracting new data and existing data for words and sentences through an intelligent automatic word extraction process for the classified words and sentences; In step 310 (S310), it is determined whether the new data or the existing data is extracted from the extracted data in intelligent automatic words and sentences in the case of the new data, and in the case of the existing data through the intelligent automatic frequency process Learning method using a network to calculate the frequency and the number of hits to upgrade and store in the existing learning database (22). The method of claim 4, wherein The learner learns words, sentences, reading, listening, writing, and speaking, applies the data according to the learner's level, and diagnoses the results of the learning through the application, and learns the iBT among the learners who are determined to be active members and who have passed the practice learning. Learning method using a network, characterized in that to extract the data corresponding to the grade when the test is performed in the test question bank, and to upgrade the member's grade to the iBT test. The method of claim 4, wherein A step 500 of transmitting the data about the test result to the server 10 at the same time as the test of the learner is terminated (S500); The test result data provided through the 500th step (S500) is extracted through the intelligent automated test evaluation / analysis process to extract the learner's evaluation (statistics) and patterns, and provide the result statistics to the database of the test question bank. Step 510 (S510); Based on the data provided in step 510 (S510), the statistics on the pattern personal evaluation are authorized to the test question bank database through the pattern / learner (personal) evaluation statistics process, and the data on the student evaluation is applied to the member database 21. Step 520 of storing the data; In operation S520, the evaluation data of the learner (individual) is interlocked with the learning database 22 (master question problem database) to compare and analyze the latest frequency rate for each problem and analyze the final statistical result through the application of the learner computer. Learning method using a network, comprising the step of outputting a result (530) (S530). The method of claim 7, wherein Determining the words and sentences of the data prepared by the step 300 (S300), and executing the process, searching the data through the process of intelligent automatic word extraction engine, space, comma, period, comma, question mark, etc. A search method using a network, characterized by searching and classifying words, checking the hit number and frequency, and storing them in an existing learning database (22).