KR101075990B1 - System and Method for Studying of Language Using Automatic Synchronized Memorization, Recording Medium Therefor - Google Patents

Abstract

An automatic simultaneous memory language learning system and language teaching method using A · S · M learning method and a recording medium are presented.

The automatic simultaneous memory language learning system according to the present invention is an automatic simultaneous memory language learning system connected to a learner's terminal through a communication network, and includes a list of learning sentences for each teaching material or a unit, a notation for each learning sentence, a phonetic symbol, a meaning, a native speaker's pronunciation. As the learning site manager and the learner requesting the learning, including the learning statement information, the learning statement list is extracted from the learning site management unit, at least a part of the learning statement information of the extracted learning statement is output to the learner terminal, and the learner learns from the learner terminal. Including a learning processing unit for receiving an input signal corresponding to the sentence information, by providing at least a portion of the learning sentence information to the learner, and repeating the process of receiving the notation of the learning sentence from the user a plurality of times, maximizing foreign language learning efficiency can do.

Foreign language, learning

Description

System and Method for Studying of Language Using Automatic Synchronized Memorization, Recording Medium Therefor}

The present invention relates to a language learning system and method, and more particularly, to an automatic simultaneous memory language learning system and language teaching method using automatic synchronized memory (A · S · M) learning method and a recording medium therefor. will be.

In learning and speaking a foreign language, as well as the grammatical structure of a foreign language, vocabulary is also an important factor.

A common method of memorizing a foreign word or idiom is a learning method in which a word or idiom is written several times using a writing instrument and associated with the meaning. In addition, recently, as the spread of portable digital devices becomes active, a method of memorizing words while visually confirming words displayed on the screen of the portable digital devices has been activated.

On the other hand, it is more effective to memorize words in consideration of the situation in which each word or idiom is used, rather than selectively memorizing only important words. Therefore, it is common that the memorization of a foreign language is made by each textbook or chapter of the textbook.

Therefore, prior to learning a textbook or unit, prior learning to memorize a word or idiom must be performed. Currently, such prior learning is also performed by visual confirmation of words exposed to writing instruments or digital devices.

Therefore, the current language learning method can not confirm whether each word, idioms, etc. were correctly memorized, and there is a problem in that a medium such as a newspaper or a book or a word not memorized during conversation is recognized.

In addition, while foreign words have words that are easily memorized, there are some words that are not memorized even after repeated many times, and these words require a more advanced learning process.

To this end, the learner has to directly manage the words to be memorized, and it has a disadvantage that the learning efficiency is lowered because it is necessary to confirm whether or not to memorize through a voluntary test.

In addition, it is important not only to memorize words but also to learn idioms including the learned words, sentences containing idioms, and the like. However, there is currently no systematic learning method that leads to words, idioms, and sentences.

The present invention has been made in order to solve the above problems and disadvantages, automatic simultaneous memory language learning system using the automatic simultaneous memory learning method that can improve the learning efficiency of foreign languages by repeating the output of the learning statement and the corresponding answer input process And technical challenges in providing language teaching methods.

Another technical problem of the present invention is to output a learning sentence as a voice, a phonetic symbol, or a translation, or type in association with the answer stored in response to the voice, the phonetic symbol, and the translation of the learning sentence output sequentially The present invention provides an automatic simultaneous memory language learning system and a language teaching method using an automatic simultaneous memory learning method that enables a learning sentence to be memorized automatically.

Another technical problem of the present invention is to provide an automatic simultaneous memory language learning system and a language teaching method using an automatic simultaneous memory learning method that can selectively relearn wrong learning texts through a test after learning a foreign language. .

Another object of the present invention is to provide a recording medium capable of performing foreign language learning in a user terminal.

The automatic simultaneous memory language learning system using the automatic simultaneous memory learning method according to an embodiment of the present invention for achieving the above technical problem is an automatic simultaneous memory language learning system connected to a learner terminal through a communication network, for each teaching material or unit. Learning book management unit for managing the learning statement information including a list of learning sentences, the notation for each learning sentence, pronunciation symbol, meaning, native speaker pronunciation; And extracting a list of learning sentences from the learning center manager, outputting at least a part of the learning sentence information of the extracted learning sentences to the learner terminal, as the learner requests learning, and corresponding to the learning sentence information from the learner terminal. It includes; learning processing unit for receiving an input signal.

Meanwhile, the automatic simultaneous memory language teaching method using the automatic simultaneous memory learning method according to an embodiment of the present invention is a language teaching method in an automatic simultaneous memory language learning system connected to a learner terminal through a communication network. Generating a learning sentence list including learning sentence information about the learning sentence information; As the learner requests learning through the learner terminal, extracting a learning sentence from the learning sentence list one by one and outputting at least a part of the learning sentence information of the extracted learning sentence on a screen; Receiving an input signal from the learner terminal; And comparing the input signal with the extracted notation of the learning sentence, wherein the learning sentence information includes at least one of notation, pronunciation symbol, meaning, and native pronunciation of each learning sentence.

In addition, the automatic simultaneous memory language training method using the automatic simultaneous memory learning method according to another embodiment of the present invention is a language training method in an automatic simultaneous memory language learning system connected to a learner terminal through a communication network, and sets a question question type. step; Setting a question question option; Generating questions and answers for each unit of at least one textbook according to the question type and the question option; And outputting the generated problem according to a learner's request through a learner terminal.

On the other hand, the computer-readable recording medium for the automatic simultaneous memory language learning according to an embodiment of the present invention for performing language learning using a learning list including learning information for at least one learning statement A computer-readable recording medium, wherein the learning sentence information includes at least one of notation, pronunciation symbol, meaning, native speaker's pronunciation for each learning sentence, and as the learner requests learning through the learner terminal, Extracting a learning sentence one by one and outputting at least a part of the learning sentence information of the extracted learning sentence on a screen; Receiving an input signal from the learner terminal; And a function of comparing the input signal with the notation of the extracted learning sentence.

In addition, the computer-readable recording medium for automatic simultaneous memory language learning according to another embodiment of the present invention is a computer-readable recording medium for realizing word learning according to a preset question-type question. The ability to set it; Generating, by unit of at least one learning textbook, a question and an answer according to the question type and the question option; And a function of outputting the generated problem in response to a learner's request through a learner terminal.

According to the present invention, a plurality of processes for providing a learner with at least a part of learning sentence information including notation, meaning, phonetic symbols, pronunciation, etc. of a foreign language learning sentence, and remembering and typing a learning sentence associated with the provided learning sentence information By repeating times, there is an effect that can automatically memorize foreign language learning.

Moreover, foreign language learning consists of words, idioms containing the learned words, and sentences containing the learned idioms so that you can easily learn how to use the learned words or idioms.

In addition, it is possible to maximize the foreign language learning efficiency by extracting the wrong learning statement through the test after learning foreign language, and intensively relearning the extracted wrong learning statement.

In addition, it is easy to check the learning achievement of the learner by managing the learning text and the progress of learning by textbook and unit.

In addition, the degree of learning of each learner belonging to the class can be checked among the learners, thereby inducing competition and inspiring learning motivation.

Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the present invention.

1 is a view for explaining a connection relationship between an automatic simultaneous memory language learning system and a communication network according to the present invention.

As shown, the automatic simultaneous memory language learning system 10 is connected to the user terminal 30 through a wired or wireless communication network 20.

The automatic simultaneous memory language learning system 10 uses at least one learning included in a corresponding unit as a user connected to the communication network 20 using the user terminal 30 selects a teaching material and a chapter. Have the door learn. Here, the learning statement may be at least one of a word, an idiom, and a sentence. In a preferred embodiment of the present invention, language learning may be performed in order of word learning, idiom learning including the learned words, sentence learning including the learned idioms.

After the learning is completed, test whether the previously learned learning sentences are memorized correctly, and the test results that have been incorrectly registered as the test results are registered as wrong learning sentences.

In addition, the user is allowed to relearn the learning text registered as the wrong learning text, and repeats the test on the re-learning result and the registration process of the wrong learning text so that all learning texts of the corresponding unit can be acquired.

On the other hand, the automatic simultaneous memory language learning system 10 may produce and manage a language learning function including an learning process learning, a test, a wrong learning sentence extraction, and a relearning process as an application. In this case, the user may download a language learning application to his terminal 30 and perform language learning.

When the user executes the language learning application, the user terminal 30 is connected to the automatic simultaneous memory language learning system 10 through the communication network 20, and the learning result information generated as the language learning is performed is the user terminal 30. Is primarily stored in When the language learning is completed, the learning result information of the user is collectively transmitted to the automatic simultaneous memory language learning system 10.

On the other hand, it is desirable that the language learning application is made of web-based and application-based applications so that it can be exposed on the top of the display of the user terminal 30. In other words, in order to prevent the use of other programs during language learning and to improve the concentration on language learning, access to other programs is prevented during the execution of the language learning application.

In addition, the automatic simultaneous memory language learning system 10 checks the version of the language learning application as the user executes the language learning application and accesses the automatic simultaneous memory language learning system 10. If an upgrade is required, the upgrade process is automatically performed so that the user can always use the latest version of the application.

If the user is connected to the automatic simultaneous memory language learning system 10 to perform the learning and the connection is interrupted due to a network failure, the user terminal 30 stores the learning result of the user, and then automatically learns the automatic memory memory learning. When the connection between the system 10 and the user terminal 30 is resumed, the stored learning results may be transmitted to the automatic simultaneous memory language learning system 10. In this case, it is preferable to encrypt and store the learning result of the user.

In addition, a user may stop while performing learning using a language learning application. In this case, when the user wants to perform the learning again, it is preferable to perform the learning from the learning statement after the previous learning is completed.

In an embodiment of the present invention, language learning is performed by textbook and unit, and when learning about the previous unit is completed and learning the next unit, the next unit including at least one of the learning sentences learned in the previous unit. Learning can be done. In other words, when learning the next unit, the review of the learning sentence learned in the previous unit is performed to increase the foreign language learning efficiency.

In addition, after learning about at least two chapters of a specific textbook is completed, it is possible to evaluate the learning texts included in the completed lessons. To do this, we present the learning texts that have been previously learned, and receive input from the learners and compare them with the correct answers. More preferably, at least one idiom is extracted from the previously learned learning sentences, and the extracted idioms and translations of the sentences to be written are presented to the learners. Accordingly, the learner performs writing by referring to the idioms and translations presented. In this process, it is also possible to give a hint to the learner if the learner cannot write within the designated time. Here, the hint can be the voice output of the best answer.

In addition, it is possible to designate a time for learning by each textbook or each unit of the user. In this case, if the learner learns the learning text included in each textbook or unit before the designated time, it is determined that the preparation is performed. If the learning is performed after the designated time, it is determined that the review is performed. In addition, the learner who performed both preliminary and review may be given additional points, while the learner who performs only one of the preliminary and review may be deducted to induce active learning.

The automatic simultaneous memory language learning system 10 described above will be described in more detail as follows.

FIG. 2 is a detailed configuration diagram of the automatic simultaneous memory language learning system shown in FIG. 1.

The automatic simultaneous memory language learning system according to an embodiment of the present invention includes a learning material management unit 110, a user management unit 120, a dictionary construction unit 130, a learning processing unit 140, a learning site management unit 150, and an interface 160. And a database 170. The database 170 may include a textbook database 172, a dictionary database 174, and a user information database 176.

First, the learning material management unit 110 stores the contents of at least one learning textbook produced according to the level of the target person in the learning textbook database 172 for each textbook and unit, and the learning textbook is changed, added, or deleted. The textbook database 172 reflects this.

The user manager 120 accesses the automatic simultaneous memory language learning system 10 to store and manage information of learners who perform foreign language learning in the user information database 176. Here, the learner information may include a name, ID, password, registered campus name / class name, the learning level, the name of the textbook being studied, the unit name of the textbook being studied, the learning progress status, ranking, and the like. In addition, the learning progress may include a list of learning, a list of incorrect learning, a score according to the results of the learning test, a learning achievement rate, and the like.

In addition, the learner information may include lecture scheduled date / time and lecture completion date / time for each unit. By managing the course date and time, you can determine whether the learner learned the lessons in each unit before or after the lesson. From this, the learner can check whether the learner has performed the preliminary review or the review or the preliminary review and the review, and can add or deduct points according to the result.

On the other hand, the dictionary construction unit 130 registers the words to be learned in the dictionary database 174 for each learning material and unit. To this end, the dictionary building unit 130 may generate a master dictionary and a sub dictionary. The master dictionary is a dictionary in which words registered in all textbooks provided by the automatic simultaneous memory language learning system 10 are registered, and a sub dictionary refers to a dictionary extracted from a master dictionary for each learning textbook and a unit.

3 is an exemplary diagram of a dictionary database.

As shown, the word information and reference number for each word is registered in the master dictionary, where the word information is spelled, phonetic symbols, meanings, parts of speech, native pronunciation, tense forms, plurals, synonyms, synonyms, antonyms, idioms. It may include at least one of an example, an example representing the meaning of the word.

In addition, the word information may further include a sentence including a thought unit or a thought unit. A thought unit is a set of words that make up a meaning that makes up a sentence. For example, the sentence "I went to Kimpo airport to see my American friend" can be divided into four units of thought: "I went", "to Kimpo airport", "to see" and "my American friend". Therefore, when the dictionary unit includes the thought unit containing each word as the word information, there is an advantage that the learner can also learn the use example in addition to the basic meaning of each word. In addition, the thinking unit and the method of language education using the same are disclosed in Korean Patent Application Publication No. 10-0392890 filed by the applicant of the Korean Patent Office and registered on July 15, 2003, so a detailed description thereof will be omitted.

When constructing a dictionary by including thought units in the word information, after learning the words included in the textbook or unit to be studied, learning about thought units associated with them and sequential learning about sentences or idioms including thought units This becomes possible. Accordingly, words and sentences, or words and idiom learning can be linked to maximize the word learning effect.

In addition, the textbook name, the unit name, and the reference number of the master dictionary are registered in the sub dictionary.

For example, it is assumed that word information of four words of apple, banana, tomato, and pear are registered in the master dictionary, and reference numbers of 1, 2, 3, and 4 are assigned.

In addition, when the words apple and tomato are included in the third section of the textbook A, the textbook name A, the unit name 3, and the reference numbers 1 and 3 may be registered in the sub dictionary.

Meanwhile, when constructing a dictionary for each textbook and unit, words that are not registered in the master dictionary may occur. In this case, the process of registering a new word in the master dictionary must be preceded.

In addition, the phonetic symbols registered in the master dictionary may be generated in a web font. Some special pronunciation symbols of the phonetic symbols currently output on the computer screen are generated as images. In this case, the process of registering an image is not only cumbersome, and the phonetic symbols cannot be output to the display means at high speed. However, when all the phonetic symbols are configured as a web font, phonetic symbols can be registered through keyboard or mouse input, so the dictionary construction is easy, and the time required to output phonetic symbols can be greatly reduced.

In addition, the dictionary construction unit 130 may generate a dictionary using a word data parser. In this case, when a new textbook is registered, the words included in the textbook can be collectively registered in the master dictionary, so that the dictionary can be more easily constructed.

Referring back to FIG. 2, the learning processor 140 provides a textbook list to learners connected to the automatic simultaneous memory language learning system 10 through the user terminal 30. To this end, the learning processor 140 refers to the learning textbook database 172 and the user information database 176, grasps a list of textbooks that the corresponding learner is learning, and provides a list of textbooks and units for each textbook to the user terminal 30. Display.

In addition, as the learner selects a textbook and a unit, the learning processor 140 presents the total number of learning target learning sentences included in the selected unit and the total number of previously learned learning sentences. Accordingly, when the learner requests learning, the learner may memorize the learning statement by outputting at least a part of the learning statement information for each learning statement and performing at least one time of receiving a foreign language notation from the learner. Here, the learning sentence information may include notation, meaning, pronunciation symbols, native pronunciation of each learning sentence. If the learning sentence is a word, the learning sentence information may further include a part-of-speech and a thought unit including the corresponding word.

In addition, the learning processor 140 performs a test when the memorization is completed. Learning texts that are not memorized as a result of the test are classified as wrong learning texts so that relearning and testing can be performed.

Here, the textbook list is pre-registered in the automatic simultaneous memory language learning system 10 for each learner. On the other hand, as the learner inserts the disk (CD, etc.) containing the teaching material in the user terminal 30, the teaching material is automatically registered in the user information database 176, it is also possible to update the teaching material list. Alternatively, the textbook and the contents of each textbook are stored in the user terminal 30, and the learner accesses the automatic simultaneous memory language learning system 10 to perform the learning. It is also possible to display on the user terminal 30 while transmitting to.

In one embodiment of the present invention, the learning processing unit 140 counts the time from after the learner starts learning to completion. This count time can be used to build statistical data on learning time by unit and textbook.

In addition, the learning processing unit 140 stops learning after the learner starts learning, and does not complete the learning of the textbook or unit, the learning is started from the learning statement after the previous learning is completed in the subsequent connection. It is desirable to make it.

In addition, when the connection between the user terminal and the automatic simultaneous memory language learning system 10 is disconnected due to a network failure during learning, the learning processor 140 stores the learning result in the user terminal. Then, when the user terminal later connects to the learning processing unit 140, the existing learning results are transmitted to the automatic simultaneous memory language learning system 10 to prevent the learning information from being lost. In this case, it is preferable to encrypt and store the learning result of the user.

The workbook management unit 150 manages the learning text to be learned by each textbook or unit of each textbook as the main workbook. In addition, in the main workbook, the learner selected by the learner is managed as a personal workbook. In addition, according to the test result of the learning processing unit 140, the learner manages the learning text that failed to memorize as the wrong learning ground. The workbook manager 150 may configure each workbook in a printable form on a paper. In this case, the learner may print and possess a desired workbook.

4 is a detailed configuration diagram of the learning processing unit shown in FIG. 2.

As shown in FIG. 4, the learning processor 140 includes a pretest module 1401, a learning sentence extracting module 1403, a post test module 1405, a comparison module 1407, a learning result management module 1409, and the like. An option change module 1411.

The pretest module 1401 extracts the learning learning sentences included in the lesson to be learned by the learner, displays at least a part of the learning information for each extracted learning statement, and receives an input signal from the learner. More specifically, the learning sentences are extracted one by one from the list of learning sentences included in the main workbook, and outputs at least one of learning sentence information, that is, notation, pronunciation symbol, meaning, and native pronunciation of the extracted learning sentence. In this case, when the extracted learning sentence is a word, the learning sentence information may further include at least one of a part-of-speech and a thought unit.

In addition, the learner may recall and remember the notation of the corresponding learning sentence and input the same. This process is performed until the learning of all the learning sentences included in the learning list is completed. In addition, the process of outputting at least part of the learning text information for each learning text and receiving a notation from the learner may be performed a plurality of times while changing the type of the learning text information to be output. In addition, the extraction order of the learning statements included in the learning statement list may vary for each learning order.

In this way, by changing the learning information for one learning statement and outputting them sequentially, the learner can automatically memorize the corresponding learning statement by repeating the process of receiving a notation from the learner whenever the learning statement information is output. do. In addition, when the learning sentence information is presented according to the memorization result, it is typed in association with the stored notation. In this sense, the language learning system of the present invention is an automatic synchronized memory (A · S · M) language learning system. This can be called.

The automatic simultaneous memory learning method provides a differentiated learning efficiency in that the learning statement is automatically memorized when compared to the existing learning method that simply memorizes the foreign language learning statement.

On the other hand, in a preferred embodiment of the present invention, the pretest module 1401 includes a learning statement included in the learning statement list in order of a word, a thought unit or idiom including the learned word, and a sentence including the learned thought unit or idiom. You can output it so that learning can be performed. In this way, it is possible to efficiently learn how to use the words, thought units, and idioms learned. In addition, it is possible to easily understand what the words, thought units, idioms in the sentence mean and what role they play.

Meanwhile, the pretest module 1401 further extracts at least one of the learning sentences included in the previously learned unit, in addition to the learning sentences included in the learning target unit, so that learning may be performed. In other words, it maximizes the memorization efficiency of important learning texts by reviewing previously learned units.

In one embodiment of the present invention, the pre-test module 1401 outputs at least one of notation, pronunciation symbol, native speaker pronunciation among the learning sentence information of the learning sentence to be learned, and then outputs the meaning of the corresponding learning sentence after a predetermined time. It is preferable. In this case, the learner can easily determine whether he or she knows the meaning of the learning statement before the meaning of the learning statement is output.

In addition, when outputting a part of the learning statement information and receiving an input signal from the learner, the hint information may be provided at the request of the learner. The hint information may be, for example, a phonetic symbol, a notation of a corresponding learning sentence, and the like.

In a preferred embodiment of the present invention, learning by the pretest module 1401 may be performed in a plurality of steps. In this case, the first step outputs the notation, pronunciation symbol, and native speaker's pronunciation of the learning sentence to be learned, and outputs the meaning of the corresponding learning sentence (meaning and part-of-speech if the learning sentence is a word) after a predetermined time, and then receives an input signal from the learner. . In the second step, the phonetic symbols and the pronunciation of native speakers are output, and after the preset time, the meanings of the corresponding learning sentences (meaning and part-of-speech when the learning sentences are words) are received, and an input signal is received from the learner. Next, in the third step, the meaning of the learning sentence to be learned (meaning and part-of-speech if the learning sentence is a word) and native speaker's pronunciation are output, and an input signal is received from the learner.

Such a multi-stage learning method is an example of the present invention, and it is of course possible to allow the learner to designate at least one of the learning sentence information to be output at each learning stage. In addition, when the input signal from the learner, that is, the notation of the learning sentence input by the learner does not match the learning target learning sentence, the correct answer, that is, the correct notation is displayed so that the learner can learn the notation of the corresponding learning sentence.

As such, it is possible to maximize the learning efficiency by allowing the learner to be familiar with the notation of the corresponding learning statement through repetitive learning, and performing each step a plurality of times.

In addition, the pretest module 1401 extracts the learning sentence information (notation, pronunciation) by extracting each learning sentence to be learned in a corresponding order before performing the process of outputting the learning sentence information and receiving an input signal from the learner. Symbols, meanings / parts of speech, and native pronunciation). That is, before the actual learning process is performed, the notation of each learning sentence included in the unit and other learning sentence information (pronounced sign, meaning / part of speech, native speaker's pronunciation, etc.) are introduced to the learner to know in advance which learning sentence to learn. It is to know.

In this sense, a process of introducing a learning sentence to learn before learning the learning sentence may be referred to as automatic mode learning, and a process of displaying at least some of the learning sentence information and receiving a notation from the learner may be referred to as manual mode learning.

On the other hand, the comparison module 1407 compares the notation of the learning statement corresponding to the learning statement information displayed on the current screen and the notation input by the learner to determine the noon, and the result of the noon determination image such as an effect sound and / or an icon. Output as, and / or text. In addition, if the notation entered by the learner is the wrong answer, it is induced to input the notation of the corresponding learning sentence again. If the notation is not included in the learning information displayed on the current screen, the notation of the corresponding learning statement, that is, the correct answer may be temporarily displayed so that the learner may input the correct notation.

Next, the learning statement extraction module 1403 performs a test function on the learning statement learned by the pretest module 1401. That is, when the learning is completed in the pretest module 1401, the learning sentences included in the learning statement list are extracted one by one, and at least one of the learning statement information except the notation of the extracted learning statement is displayed on the screen. In addition, the learner inputs the notation of the learning statement corresponding to the meaning of the corresponding learning statement.

In a preferred embodiment of the present invention, the learning text extracting module 1403 outputs the meaning of the extracted learning text (meaning and part-of-speech when the learning text is a word). After outputting the meaning (part of speech) of the learning sentence, if the notation is not input from the learner until a predetermined time elapses, a pronunciation of the corresponding learning sentence is output.

In addition, the learning sentence extraction module 1403 may provide a hint to the learner. That is, as the learner requests a hint for the currently tested learning sentence, the learner outputs a pronunciation symbol of the learning sentence so that the learner can infer the correct answer.

When the notation is input from the learner, the comparison module 1407 compares the notation of the learning sentence corresponding to the meaning displayed on the screen with the input signal of the user, and determines the noon, and determines the result of the noon decision as an effect sound, and / or an image such as an icon, And / or output as text.

As a result of the noon judgment, if the notation matches, the next test is tested.

On the other hand, if the notation does not match, or the signal is not input from the learner until the predetermined test time for each learning statement elapsed, the learning statement is registered in the wrong learning place by the workbook management unit 150 shown in FIG. . At this time, it is preferable to display the correct answer of the wrong learning statement and then register in the wrong workbook so that the learner can recognize the correct answer.

Such a test process is performed for all learning statements included in the learning statement list, and the order of extracting the learning statements may be set differently from the order of extracting the learning statements of the pretest module 1401. In addition, when the time required for the test of each learning sentence is set in advance, it may give an interest and urgency to the test.

Next, the post test module 1405 re-learns and tests the learning text registered in the wrong workbook by the workbook manager 150.

More specifically, the post test module 1405 extracts the learning sentences included in the wrong learning list one by one, and outputs the learning information of the extracted incorrect learning statement, that is, notation, pronunciation symbol, and meaning (part of speech) on the screen. Sounds the native speaker's pronunciation. Accordingly, when the learner inputs the notation of the corresponding learning sentence, the comparison module 1407 compares the output notation with the input notation and determines noon.

This process is performed until the learning of all the learning statements included in the wrong learning list is completed, and the order of extracting the learning statement for relearning the wrong learning statement may be changed.

Subsequently, the post test module 1405 performs a test on the relearned incorrect learning statement, which may be performed similarly to the wrong learning statement extraction process in the learning statement extracting module 1403.

That is, the post test module 1405 extracts the learning sentences included in the relearned incorrect learning statement list one by one, and outputs at least one of the learning statement information excluding the notation of the extracted learning statement. When the user receives the input signal, that is, the notation of the learning sentence corresponding to the outputted learning sentence information, the comparison module 1407 determines the noon by comparing the notation of the learning sentence corresponding to the meaning displayed on the screen with the input signal of the user. do. In addition, the comparison module 1407 may output the noon determination result as an image and / or text such as an effect sound and / or an icon.

As a result of the noon judgment, if the notation is matched, the corresponding learning statement is deleted from the wrong learning list, and a test for the next wrong learning statement is performed. On the other hand, if the notation is not matched, the learning statement is left as a learning statement wrong by the workbook management unit 150. Even in this case, if the input signal is not received from the learner within the test time for each learning sentence, the corresponding learning sentence is left in the wrong workbook.

The relearning and testing process by the post test module 1405 is performed until there is no wrong learning statement. In addition, it is desirable to increase the number of relearnings each time the relearning is performed, so that learners may fully understand the corresponding learning sentences by performing deeper learning on unknown learning sentences.

In a preferred embodiment of the present invention, the learning text extraction by the pretest module 1401, the learning sentence extraction module 1403, and the post test module 1405 may be randomly performed.

In addition, in the course of learning or testing the learning sentence by the pretest module 1401, the learning sentence extracting module 1403, and the post test module 1405, the input signal from the learner may use a drag-drop method, a click method, etc. in addition to typing. Can be received via. That is, in the case of a learner who is difficult to input the notation through the keyboard such as an infant, the learner selects the notation of the learning sentence to be input from the view, and the answer selected by the user during the view is drag-drop or number click-based. .

The learning result management module 1409 calculates the number of learning for each unit, the total number of learning sentences for each learning order, the total number of incorrect learning statements for each learning order, and the achievement rate for each learning order, according to the comparison result of the comparison module 1407. Then, the learning results are generated and displayed in a format such as a graph or a table.

In addition, the learning result management module 1409 sets a score for each learning order according to the comparison result of the comparison module 1407. When the score is set, the basic score may be set, and if the notation is not matched when the learning statement is tested by the learning sentence extracting module 1403 and the post test module 1405, a predetermined score may be deducted from the basic score.

In addition, points can be given to learners according to the established scores to add entertainment and to accumulate repetitive learning. These points can be used in conjunction with the character representing the achievement obtained from the learning result. For example, a zebra may be adopted as a character representing achievement, and the acquired points may be used as carrots to change his character using carrots. In addition, the corresponding points can be paid when learning the lessons or textbooks, and based on these points, learners can be motivated by paying tangible / intangible products or providing online bankbook services that accumulate points. You can get the advantage of letting.

In addition, during the test by the learning sentence extracting module 1403 or the post test module 1405, when the learner's response is received after the voice output or when the learner selects the hint view, the predetermined score may be deducted. .

In addition, when a time for learning is specified for each textbook or unit of the user, the learner who performs both the preliminary review and the review is given additional points, while the learner who performs only one of the preliminary review and the review is deducted, thereby actively learning. Can be induced to lose.

In addition, the learning result management module 1409 may assign additional points according to learning of each unit or textbook.

In addition, the ranking may be determined for each unit to which the learner belongs, such as class, campus, regional headquarters, and business bureau, based on the scores set by the learner. Then, when the learner accesses the automatic simultaneous memory language learning system 10, the learner belonging to the class to which the learner belongs and the degree of learning of the learner are displayed.

In one embodiment of the present invention, the learning information displayed for each learner belonging to each class may include whether or not to prepare, review, learning amount, learning time, score, ranking, and the like.

Accordingly, the learner can check who has obtained the top score in the class, how much learning has been performed, and the competition can be induced from this, thereby further inspiring the learning motivation. Here, the class-specific rankings preferably display the rankings of some learners who rank higher. In addition, a character owned by each learner included in the displayed ranking may be displayed together to improve the motivation for obtaining points.

In one embodiment of the present invention, the learning result management module 1409 may transmit the learning results of each user to the learner's guardian using a message transmission service such as an email or a short message.

On the other hand, the option change module 1411 allows the learner to vary the number of repetitive learning for each learning statement, the total number of learning of the learning statement list, and the output speed between the learning sentences by requesting the learner.

In addition, the option change module 1411 may allow the learner to designate only at least one of a phonetic symbol, a meaning / part of speech, and a native speaker's pronunciation in the learning process by the pretest module 1401 or the post test module 1405. Do.

5 is a detailed configuration diagram of the workbook management unit illustrated in FIG. 2.

The main workbook generation module 1501 manages the list of learning target learning sentences and learning text information on the lessons of each textbook as the main workbook. The personal workbook generation module 1501 manages at least one learning text selected by the learner from the main workbook and learning text information about the workbook as a personal workbook.

In addition, the wrong workbook generation module 1505 manages the learning text that fails the test and the learning text information on the learning textbook according to the test result of the learner as the wrong workbook. In addition, it is also possible for the learner to succeed in the test to add the learning statement that the learner wants to register in the wrong workbook.

Each learning book may be configured in a form printable on paper.

In another embodiment of the present invention, the automatic simultaneous memory language learning system 10, as shown in Figure 2, at least any one of the problem question 180, the report generator 190, the application manager 195 It may further include.

The problem question unit 180 generates a problem for each unit according to a preset question type, and the generated problem is confirmed by the inspector. And generate an answer to the question checked.

To this end, the question question unit 180 may include a question type management module 1801, a question option management module 1803, and a problem generation module 1805 as shown in FIG. 6.

The question type management module 1801 manages a question to be asked in a test by type, and may be classified into a basic question type, an extended question type, an example question type, a source question item type, and a question item type. Basic item types may include problems related to word semantics and problems related to phonetic symbols, and extended item types may include problems related to parts of speech conversion, tense-type problems, plural problems, thesaurus problems, and antonym problems. . The example question type may include a blank filling problem, and the original question and answer question type may include a problem of solving the meaning of a word in English. In addition, the item type of the attention may include an easy type of problem.

The question option management module 1803 receives, from the questionnaire, the total number of questions for each unit, the number of questions to be asked for each item type, test time, and a list of words to be used for the question.

The problem generating module 1805 automatically generates a problem for each question type managed by the question type management module 1801 according to the options set by the question option management module 1803, and generates an answer corresponding to each question. .

Problems generated by the problem generation module 1805 may be corrected by the inspector through a final confirmation procedure.

As described above, in the present invention, the question item type is set in advance, and various types of problems can be automatically generated using the test target learning sentence, so that problems for foreign language vocabulary test can be easily generated.

Meanwhile, the report generator 190 determines the ranking by referring to the learning statement learning result information of each learner. Learning ranks can be determined by level, class, unit campus, or campus.

The application manager 195 downloads the language learning web application to the learner terminal 30 to perform a learning sentence learning, a test, a relearning and a test function for a wrong learning sentence. In addition, when the user terminal 30 is connected to the automatic simultaneous memory language learning system 10 through the language learning application, the version of the language learning application installed in the user terminal 30 is checked and, if necessary, upgraded automatically. .

As described above, the present invention builds a dictionary for each textbook and unit, and performs a post-learning test on the list of learning sentences included in each textbook. Learning texts that failed to memorize the test results are registered as wrong learning texts, and through the relearning and testing of the wrong learning texts, all learning texts of each unit are memorized perfectly.

FIG. 7 is a flowchart illustrating a language teaching method according to an embodiment of the present invention, and will be described by taking an example of first learning.

In order to learn a language according to the present invention, first, a dictionary building process (S10) for a subject to be taught is preceded. As described above, the pre-building process includes a master dictionary generation and a sub dictionary generation process.

As a user who wants to perform language learning approaches the automatic simultaneous memory language learning system 10 or a language learning application, the learning processor 140 outputs a textbook list registered to the corresponding user (S20). To this end, it is a matter of course that the teaching object list for each user should be registered in the automatic simultaneous memory language learning system 10. In addition, the textbook list is displayed as the learner inserts a disc containing a textbook (CD, etc.) into the user terminal 30, or pre-stores the contents of the textbook in the user terminal 30, and the learner automatically learns the language learning system ( It is also possible to display the textbook list when accessing 10) is performed.

Next, as the user selects the textbook and the unit to be learned, the learning processor 140 of the automatic simultaneous memory language learning system 10 extracts the main workbook through the workbook manager 150 (S30). When the user requests learning, the pretesting process S40 of the pretest module 1401 is performed to memorize all the learning sentences included in the main workbook. In an embodiment of the present disclosure, in the process of extracting the main workbook (S30), a process of further extracting at least one of the learning sentences included in the previously learned unit may be further included.

When the memorization procedure is completed, while outputting the meaning of the learning sentence included in the main workbook one by one through the wrong learning sentence extraction process 50 of the learning sentence extracting module 1403, the user receives a notation corresponding to the meaning of the corresponding learning sentence, Create a wrong workbook based on the match.

When the wrong workbook is generated, re-learning and testing of the wrong learning statement is performed through the post test process (S60) of the post test module 1405, and the post test process (S60) remains any one study sentence in the wrong workbook. It may be done until it is not.

In addition, if any one of the wrong learning statement is not extracted in the wrong learning statement extraction process (S50), of course, the post test process (S60) is omitted.

When the memorization and testing of all the learning sentences are completed, the device enters a waiting state (S70) and waits for a user command.

On the other hand, if the user who has access to the automatic simultaneous memory language learning system 10 or a language learning application is a user with a history of access, it is preferable to provide a service from a procedure after the most recently accessed process.

8 is a detailed flowchart of the pretest process.

In order to perform memorization for all learning statements included in the main workbook, the number of repeated learning for each learning statement is set (S401). In one embodiment of the present invention, the number of repetition learning may be set by receiving an input from the user by the option change module 1411.

The pretest module 1401 extracts the learning sentences included in the main learning field one by one in a random order (S403), displays the learning sentence information on the extracted learning statement (S405), and waits for a user input.

When the user inputs the notation of the learning sentence, the comparison module 1407 compares the notation of the displayed learning sentence with the notation input by the user (S407), and determines whether or not the image matches an image such as a voice and / or an icon, and / or Output as text (S409).

In addition, the pretest module 1401 checks whether the number of repetition learning for the learning sentence extracted in step S403 is satisfied (S411), and if repetitive learning is performed a predetermined number of times, the pretest module 1401 checks whether a learning sentence to be learned remains in the main learning field. (S413). If there is a learning sentence to be learned, the process proceeds to step S403 to memorize the next learning sentence, and if not, proceeds to the learning sentence extraction process (S50).

In addition, if the check result of step S411 does not reach the number of repetitions, the process proceeds to step S405 so that the memorization of the learning statement is repeated.

On the other hand, in another embodiment of the present invention, it is also possible to set the number of repetition learning for the entire inter-study output interval, the output interval between the learning sentences, along with the process of setting the number of repetition.

In addition, before performing the step of setting the number of repetitions (S401), by displaying the learning statement information including the notation of the learning statement extracted in the main workbook extraction process (S30) one by one in a random order, the learner to learn to learners The introduction process can be preceded.

The learning statement extraction and repetition learning process described above may be made in the order of words, thought units or idioms, sentences. That is, after completing the learning of the word, to learn the thought unit or idiom containing the same, and to learn the sentence containing the previously learned thought unit or idiom, the foreign language learning efficiency can be maximized.

9 is a detailed flowchart of a wrong learning sentence extraction process.

After memorizing the learning sentences included in the main workbook through the pre-test process (S40), an incorrect learning statement extraction process is performed to check whether the learning sentences are memorized correctly.

First, the learning sentence extracting module 1403 extracts the learning sentences included in the main learning field one by one (S501), and displays, for example, the meaning of the extracted learning sentence at least in part of the extracted learning sentence information (S503).

Accordingly, when the learner inputs the notation of the learning sentence corresponding to the corresponding meaning, the comparison module 1407 compares the notation of the extracted learning sentence with the notation input by the user (S505) and checks whether the correct answer is made (S507).

As a result of the check, if the answer is not correct, the learning statement extracting module 1403 registers the corresponding learning statement in the wrong workbook (S509). Then, it is checked whether the learning statement to be tested remains (S511), and if so, the process proceeds to step S501, and if not, the process proceeds to the post test process 60.

On the other hand, if the result of the check in step S507 is correct, the process proceeds to step S511 and the process thereafter is performed.

In an embodiment of the present disclosure, after step S503, when the input signal from the user is a hint request signal, the learning sentence extracting module 1403 outputs a hint of the corresponding learning sentence, for example, a pronunciation symbol, to allow the learner to infer the correct answer. It is possible to make it possible.

10 is a detailed flowchart of the post test process.

The post test process (S60) by the post test module 1405 is a process of re-learning and testing the wrong learning statement. In order to more clearly memorize the wrong learning statement, it is preferable to increase the number of learning repetitions. (S601).

And, similar to the pre-test process (S40) to output the notation and learning information for each false learning statement, through the process of receiving the notation from the user to compare the memorization of the wrong learning statement is made (S603) .

After learning about the wrong learning statement, similar to the wrong learning statement extraction process (S50), the learning statement meaning output and the user input corresponding thereto are received to re-extract the wrong learning statement (S605).

Then, it is checked whether there is a wrong learning sentence (S607), and if present, the process proceeds to step S601. If not, it is determined that the memorization of all learning sentences is completed, and the state transitions to the waiting state (S70).

After learning through this process, you can maximize learning efficiency through various types of problems.

In the present invention, for this purpose, various types of problems are automatically generated using the problem question unit 180.

11 is a flowchart for explaining a problem questioning method.

For automatic problem generation, question types that are divided into various types, for example, basic item type, extended item type, example item type, original question and answer item type, and attention item type, must be set in advance. Here, the basic item type may include a problem related to word meaning, a problem related to a phonetic symbol, and the like, and the expanded item type may include a part-of-speech conversion problem, an irregular change problem, a plural problem, a synonym problem, an antonym problem, and the like. Can be. The example question type may include a blank filling problem, and the original question and answer question type may include a problem of solving the meaning of a word in English. In addition, the item type of the attention may include an easy type of problem.

In addition, the question setter sets the question option including the total number of questions by unit, the number of questions to be asked for each item type, the test time, and the word list to be used by the question option management module 1803 (S80). .

Accordingly, the problem generating module 1805 automatically generates a problem according to the problem type and the question option and displays it (S90).

The inspector checks whether there is an error in the displayed automatic generation problem (S100), and when the inspection is completed, the problem generation module 1805 generates an answer for each problem (S110).

As the learner selects a problem solving function of a particular unit, the problem generator 180 outputs a pre-generated problem for the unit to the user terminal, and the learner learns the words previously learned and tested through the problem solving. Evaluate your skills.

On the other hand, such a language teaching method stores the learning material and the workbook information in recording media such as CDs and DVDs, and creates the recording media so that the functions of the learning processing units can be executed sequentially, without accessing the automatic simultaneous memory language learning system. Of course, learning can be done.

As such, those skilled in the art will appreciate that the present invention can be implemented in other specific forms without changing the technical spirit or essential features thereof. Therefore, the above-described embodiments are to be understood as illustrative in all respects and not as restrictive. The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

According to the present invention, it is possible to improve the vocabulary of a foreign language by extracting a wrong learning sentence through a test and deepening the learning. This language teaching method can be applied to online foreign language lectures that are currently being universally used, and can be produced in the form of recording media and used offline in user terminals.

1 is a view illustrating a connection relationship between an automatic simultaneous memory language learning system and a communication network according to the present invention;

2 is a detailed configuration diagram of the automatic simultaneous memory language learning system shown in FIG.

3 is an exemplary diagram of a dictionary database;

4 is a detailed configuration diagram of the learning processing unit illustrated in FIG. 2;

5 is a detailed configuration diagram of the workbook management unit illustrated in FIG. 2;

FIG. 6 is a detailed configuration diagram of the problem question unit illustrated in FIG. 2;

7 is a flowchart illustrating a language teaching method according to an embodiment of the present invention;

8 is a detailed flowchart of a pretest process;

9 is a detailed flowchart of a wrong learning statement extraction process;

10 is a detailed flowchart of the post test process;

11 is a flowchart for explaining a problem questioning method.

Description of the Related Art [0002]

10: automatic simultaneous memory language learning system 110: learning material management unit

120: user management unit 130: pre-builder

140: learning processing unit 150: workbook management unit

160: interface 170: data storage

180: Problem Question 190: Report generation unit

Claims (57)

An automatic simultaneous memory language learning system connected to a learner terminal through a communication network, A workbook manager for managing a list of learning sentences for each learning textbook or unit, and learning text information including the notation for each learning sentence, a phonetic symbol, a meaning, and a native speaker's pronunciation; And As the learner requests learning, the learning text list is extracted from the workbook management unit, at least a part of the learning text information of the extracted learning text is output to the learner terminal, and the input corresponding to the learning text information from the learner terminal. A learning processor for receiving a signal; Including, The learning processor may include: a user manager configured to manage learner information including a lecture scheduled date / time and lecture completion date / time for each unit; And The learner determines whether the lesson is prepared according to whether the learner accesses the automatic simultaneous memory language learning system and performs the learning before the scheduled date / time of each lesson, and the learner automatically determines the lesson after the completion date / time of each lesson. And a learning result management module for determining whether to review according to whether the learning is performed by accessing the simultaneous memory language learning system and setting a score according to whether the lesson is prepared or whether the learning is performed. The method of claim 1, The learning processor extracts the learning sentences included in the learning list one by one, outputs at least a part of the learning sentence information of the extracted learning statement to the learner terminal, and then receives a pre-signal from the learner terminal. module; And A comparison module for comparing the signal input from the learner terminal with the notation of the extracted learning sentence to determine a noon; Automatic simultaneous memory language learning system comprising a. The method of claim 2, The learning sentence list includes at least one of words, idioms, and sentences, The pretest module automatically extracts a learning sentence included in the learning sentence list in order of a word, an idiom, and a sentence, and outputs at least a part of the learning sentence information of the extracted learning sentence to the learner terminal. Memory language learning system. The method of claim 3, wherein The learning processing unit extracts the learning sentences included in the learning sentence list one by one, and outputs at least one of the learning sentence information excluding a notation from the learning sentence information of the extracted learning sentence to the learner terminal and then from the learner terminal. Further comprising a learning sentence extraction module for receiving an input signal of, The comparison module compares a signal input from the learner terminal with a notation of the extracted learning sentence in response to an output signal of the learning sentence extracting module. The learning sentence extracting module, the automatic simultaneous memory language learning system, characterized in that for registering the learning statement incorrectly processed as a result of the comparison module to the learning site management unit. The method of claim 4, wherein The learning sentence extracting module outputs meanings among the learning sentence information of the extracted learning sentence, and if the input signal is not received from the learner terminal for a preset time, the native speaker pronunciation of the extracted learning sentence is output. Automatic simultaneous memory language learning system. The method according to claim 4 or 5, The learning sentence extracting module outputs a phonetic symbol of the extracted learning sentence in response to a request of the learner terminal. The method of claim 1, The learning processing unit, the automatic simultaneous memory language learning system, characterized in that for outputting the notation, pronunciation symbols, meaning of the learning sentence information of the extracted learning statement, and outputs the native speaker pronunciation of the extracted learning statement after a predetermined time. The method of claim 4, wherein The learning processor extracts learning sentences included in the wrong learning list one by one, outputs at least a part of the learning text information of the extracted learning statement to the learner terminal, and receives an input signal from the learner terminal. Automatic simultaneous memory language learning system further comprises a module. The method of claim 8, The post test module extracts the learning sentences included in the wrong learning list one by one, outputs at least one of the learning statement information excluding the notation of the extracted incorrect learning statement to the learner terminal, and then inputs the learner terminal. Receive the signal, The comparison module, the automatic simultaneous memory language learning system, characterized in that for determining the noon by comparing the notation of the extracted incorrect learning sentence with the signal input from the learner terminal. The method of claim 9, And the post test module deletes the wrong learning sentence identified as the correct answer from the determination module from the wrong learning sentence list. 11. The method of claim 10, The workbook management unit may include: a main workbook generation module configured to store and manage a list of study sentences for each unit of the textbook; A personal workbook generation module for storing and managing a list of learning sentences selected by the learner; And A wrong learning site generation module for storing and managing a wrong learning statement list generated as a result of the learning processing unit; Automatic simultaneous memory language learning system comprising a. The method of claim 2, The learning processor may further include an option change module configured to receive at least one of the number of repeated learning for each learning statement, the total number of learning of the learning list, the output speed between learning sentences, and the outputted learning statement information from the learner terminal. Automatic memory language learning system. The method of claim 1, A learning material management unit which stores and manages contents of at least one learning material by textbook and unit; And A dictionary construction unit for storing and managing learning word lists and word information for each textbook and unit; Automatic simultaneous memory language learning system comprising a further. The method of claim 13, The dictionary construction unit includes a master dictionary that registers word information of words registered in all textbooks; And a sub-diction in which word information of words registered by textbooks and sections is registered. The method of claim 14, The master dictionary includes word information and reference numbers for each word listed in all textbooks, and the word information includes spelling, phonetic symbols, meanings, parts of speech, native pronunciation, tense forms, plural forms, synonyms, synonyms, antonyms, An automatic simultaneous memory language learning system comprising at least one of an idiom, an example sentence, and an image representing the meaning of a word. The method of claim 14, The sub dictionary includes a textbook name, a unit name, and a reference number of the master dictionary. The method of claim 13, According to the dictionary created by the dictionary building unit automatically generates a question for each textbook and unit according to a preset question type and question option, further comprising a question question generating unit for generating an answer to the automatically generated question Automatic memory language learning system. The method of claim 17, The question type includes an automatic question storage system, characterized in that the basic question type, extended question type, example question type, original question and answer type, attention item type. The method of claim 18, The question option, the automatic simultaneous memory language learning system, characterized in that it comprises a total number of questions for each unit, the number of questions to be asked for each question type, the time required for the test, the list of words to be used for the questions. The method of claim 1, Download the language learning application to perform the functions of the learning processing unit and the learning site management unit to the learner terminal, and as the learner terminal accesses the automatic simultaneous memory language learning system, the version of the language learning application is automatically upgraded. Automatic simultaneous memory language learning system further comprising an application management unit. The method according to any one of claims 2, 4 or 9, The learning result management module, the automatic simultaneous memory language learning system for setting a score according to the comparison result of the comparison module. The method of claim 21, The learner information may further include belonging class information of a learner who wants to perform learning by accessing the automatic simultaneous memory language learning system. The learning result management module collects learning information of each learner for each class, and displays learning information of each learner belonging to a class to which the learner belongs as the learner accesses through the learner terminal. Automatic simultaneous memory language learning system. The method of claim 22, The learning information is automatic pre-memory language learning system, characterized in that it includes whether the lesson, whether the review, learning amount, learning time, score, ranking. The method of claim 23, wherein The learning result management module determines a ranking in a class to which the learner belongs based on a score set for each learner, and ranks the learners belonging to the class to which the learner belongs as the learner accesses through the learner terminal. An automatic co-memory language learning system characterized by displaying the rank of one learner. As a language teaching method in an automatic simultaneous memory language learning system connected to a learner terminal through a communication network, Generating a learning text list including learning text information on at least one learning text for each learning unit and for each unit of the teaching material; Generating learner information including the lecture scheduled date / time and the lecture completion date / time for each unit; Determining whether or not to prepare a lesson according to whether or not the learner accesses the automatic simultaneous memory language learning system and conducts learning before the scheduled date / time of the lecture; As the learner requests learning through the learner terminal after the lecture scheduled date / time and before the lecture completion date / time, the learning sentences are extracted one by one from the list of learning sentences, and among the extracted learning sentence information of the learning sentences. Outputting at least a portion to a screen; Receiving an input signal from the learner terminal; Comparing the notation of the input signal with the extracted learning sentence; And Determining whether or not to review and score according to whether the learner accesses the automatic simultaneous memory language learning system after the completion date / time of the lecture; Wherein the learning sentence information includes at least one of notation, pronunciation symbol, meaning, and native speaker's pronunciation for each learning sentence. The method of claim 25, The learning sentence list includes at least one of words, idioms, and sentences, And extracting the learning sentences one by one from the list of learning sentences, extracting the learning sentences included in the learning list in the order of words, idioms, and sentences. The method of claim 26, The outputting of at least some of the learning sentence information on the screen may include outputting at least one of a notation, a pronunciation symbol, and a meaning of the extracted learning sentence, After outputting at least a part of the learning text information of the extracted learning text on the screen, if an input signal is not received from the learner terminal for a predetermined time, further comprising: outputting a native speaker's pronunciation of the extracted learning text by voice; Language teaching method, characterized in that. 28. The method of claim 27, The outputting of at least some of the learning sentence information on the screen may include outputting the meaning of the extracted learning sentence on the screen, and outputting a phonetic symbol of the extracted learning sentence on the screen according to a request of the learner. Language teaching method, characterized in that. delete The method of claim 26, After comparing the input signal with the notation of the extracted learning sentence, extracting the learning sentence one by one from the learning sentence list, and outputting at least one of the learning sentence information except the notation among the learning sentence information of the extracted learning sentence on the screen Making; Receiving an input signal from the learner terminal; Comparing the input signal with the notation of the extracted learning sentence and determining noon; And Registering as an incorrect list of learning sentences when the comparison result does not match; Language teaching method further comprising. 31. The method of claim 30, After registering with the wrong list of learning, Extracting the learning sentences included in the wrong learning statement list one by one, and outputting at least some of the learning statement information of the extracted learning statement; And Receiving an input signal from the learner terminal; Language teaching method further comprising. The method of claim 31, wherein After receiving the input signal, extracting learning sentences included in the wrong learning sentence list one by one, and outputting at least a part of the learning sentence information except for notation among the learning sentence information of the extracted wrong learning sentence on the screen; Receiving an input signal from the learner terminal; And And comparing the input signal with the notation of the extracted learning sentence, and determining a noon. 33. The method of claim 32, And removing the extracted learning text from the wrong learning text list when the notation is matched as a result of the noon determination. 33. The method of claim 32, The outputting of at least a portion of the extracted learning sentence information of the wrong learning sentence on the screen, the step of outputting at least a portion of the learning sentence information except the notation and native speaker pronunciation of the learning sentence information on the screen, And if the input signal is not received from the learner terminal for a predetermined time after outputting, outputting a native speaker's pronunciation of the extracted wrong learning sentence. 33. The method of claim 32, The outputting of at least a portion of the extracted learning sentence information of the wrong learning statement on the screen, the step of outputting at least a portion of the learning information except the notation, native speaker pronunciation and pronunciation symbols on the screen, the learning And after outputting the sentence information, outputting the phonetic symbols of the extracted wrong learning sentence to the screen according to the request of the learner. The method of claim 31, wherein The outputting the learning sentence information of the extracted learning sentence, the language teaching method, characterized in that for outputting the notation, pronunciation symbols, meaning and part-of-speech of the extracted learning sentence, and outputting the native speaker pronunciation after a predetermined time . The method of claim 25, Before receiving the learning request from the learner, receiving at least one of the number of repeated learning for each learning statement, the total number of learning of the learning list, the output speed between learning sentences, and the type of learning statement information to be output from the learner terminal; Language teaching method, characterized in that it further comprises. delete delete delete delete A computer-readable recording medium for performing language learning by using at least one learning textbook, a learning text list including learning text information on at least one learning text for each unit of the textbook, The learning sentence information includes at least one of notation, pronunciation symbol, meaning, native speaker pronunciation for each learning sentence, Generating learner information including the lecture scheduled date / time and lecture completion date / time; Determining whether or not to prepare a lesson according to whether or not the learner performed learning before the scheduled date / time of the lecture through a learner terminal; As the learner requests learning through the learner terminal after the lecture scheduled date / time and before the lecture completion date / time, the learning sentences are extracted one by one from the list of learning sentences, and the learning sentence information of the extracted learning sentences is obtained. A function of outputting at least some of the information on the screen; Receiving an input signal from the learner terminal; Comparing a notation of the input signal with the extracted learning sentence; And Determining whether or not to review and score according to whether or not the learner performed the study after the lecture completion date / time; A computer-readable recording medium having recorded thereon a program for realizing this. 43. The method of claim 42, The learning sentence list includes at least one of words, idioms, and sentences, And a function of extracting learning sentences one by one from the list of learning sentences is a function of extracting the learning sentences included in the learning list in the order of words, idioms, and sentences. 44. The method of claim 43, The function of outputting at least part of the learning sentence information on the screen is a function of outputting at least one of the notation, pronunciation symbol, and meaning of the extracted learning sentence, After the function of outputting at least a part of the learning information of the extracted learning sentence on the screen, if the input signal is not received from the learner terminal for a predetermined time, further implements a function of voice output of the native speaker pronunciation of the extracted learning sentence And a computer-readable recording medium. 45. The method of claim 44, The function of outputting at least a part of the learning sentence information on the screen includes a function of outputting the meaning of the extracted learning sentence on the screen, and a function of outputting a phonetic symbol of the extracted learning sentence on the screen according to the request of the learner. And a computer readable recording medium. delete 44. The method of claim 43, After the function of comparing the input signal and the notation of the extracted learning sentence, extracting the learning sentence one by one from the list of the learning sentence, and outputs at least one of the learning sentence information except the notation among the learning sentence information of the extracted learning sentence on the screen Function; Receiving an input signal from the learner terminal; Determining a noon by comparing the input signal with the notation of the extracted learning sentence; And Registering as an incorrect list of learning sentences when the comparison result does not match; And a computer-readable recording medium characterized by further realization. 49. The method of claim 47, After the function to register with the wrong list of learning, Extracting one or more learning sentences included in the wrong learning sentence list and outputting at least some of the learning sentence information of the extracted learning sentences; And Receiving an input signal from the learner terminal; And a computer-readable recording medium characterized by further realization. 49. The method of claim 48 wherein After the function of receiving the input signal, extracting the learning sentences included in the wrong learning sentence list one by one, and outputting at least a part of the learning sentence information except the notation among the learning sentence information of the extracted learning sentence on the screen; Receiving an input signal from the learner terminal; And And a function of determining a noon by comparing the input signal with the notation of the extracted learning sentence. 50. The method of claim 49, And a function of deleting the extracted learning text from the wrong learning text list when the notation is matched as a result of the noon determination. 50. The method of claim 49, The function of outputting at least a portion of the extracted learning sentence information of the wrong learning sentence on the screen, the function of outputting at least a portion of the learning sentence information except the notation and native speaker pronunciation of the learning sentence information on the screen, And outputting a native speaker's pronunciation of the extracted wrong learning sentence when the input signal is not received from the learner terminal for a predetermined time after the output. 50. The method of claim 49, The function of outputting at least a part of the learning text information of the extracted wrong learning text on the screen is a function of outputting a part of the learning text information excluding notation, native speaker pronunciation and pronunciation symbols on the screen, the learning text And a function of outputting a phonetic symbol of the extracted learning sentence on a screen at the request of the learner after the function of outputting information. 49. The method of claim 48 wherein The function of outputting learning text information of the extracted learning text, outputs the notation, pronunciation symbol, meaning and part-of-speech of the extracted learning text, and after the predetermined time is a function that outputs the pronunciation of the native speaker can be read by a computer. Recording media. 43. The method of claim 42, Before receiving a learning request from the learner, receiving at least one of the number of repetitive learning for each learning statement, the total number of learning of the learning list, the output speed between learning sentences, and the type of learning statement information to be output from the learner terminal; A computer-readable recording medium characterized by further realization. delete delete delete

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