WO2020226227A1 - Brain science-based learning memory method, system, and recording medium - Google Patents

Abstract

Disclosed are a brain science-based learning memory method, system, and recording medium. The brain science-based learning memory method implemented by a computer may comprise the steps of: providing a predetermined number of predesignated learning target objects to be learned; and providing a semantic associative stimulus and a visual associative stimulus on the basis of the learning target object so as to perform brain stimulation of a user learning the learning target object on the basis of the association method.

Description

Brain science-based learning memory method and system and recording medium

Embodiments of the present invention relate to a technology for providing learning memory in a portable terminal.

Word learning is the most difficult part for learners such as children and adolescents studying English. In the case of the basic vocabulary of the Ministry of Education, since 3000 words such as 800 elementary words, 1800 words for middle and high school, and 400 high-level words are presented on the SAT, the memorization of these words is essential for learners preparing for college.

As communication technology develops, additional services provided together have also developed, and many additional services (eg, mobile games, wireless Internet, word learning, etc.) that can use multimedia functions of mobile communication terminals are provided. For example, when moving 3000 words that are difficult to memorize by means of transportation such as a subway or a bus, an additional service is provided that provides word learning through a mobile communication terminal using the moving scrap time.

Most mobile communication terminals are capable of performing wireless Internet services using a wireless Internet browser (eg, WAP browser, ME browser, etc.), and also use a wireless Internet platform (eg, GVM, BREW, Java, etc.). By using it, various information can be searched anytime, anywhere, and additional services such as word learning can be used.

According to the above trend, a method of memorizing words by memorizing word images in a question-and-answer manner is proposed in Korean Patent Application Publication No. 10-2013-0059935.

However, the conventional word learning method consists of simple repetitive memorization, and in most cases, pronunciation association is used to reinforce memory during learning. In the case of such a simple associative learning method, although it helps memorize words in an instant, there is a limitation in that it does not provide an effect of remembering words in the long term.

It is known that the learner's memory deteriorates over time due to the brain's forgetting curve, and the long-term recognition rate is only about 15% during simple repetitive learning. Since learned words are memorized in the head for a short period of time and then erased from the memory unless repeated learning is performed, the long-term recognition rate is low during simple repetitive learning. As such, repetitive learning is required in order to increase the low long-term recognition rate. However, due to the increase in the amount of learning, the amount of repetitive learning increases continuously, eventually giving up on word learning or repetitive memory only in the short term.

Based on brain science-based learning techniques, learning to stimulate the brain through visual associative stimulation and collocation-based semantic associative stimulation for an object to be learned (that is, an object) It provides a brain science-based learning memory method and system that improves the long-term recognition rate by providing it.

In addition, by providing a function to repeatedly review a learned object (eg, word) based on a learner's forgetting curve rather than a simple repetitive memorization, a long-term recognition rate for an already learned object (i.e., It provides a brain science-based learning memory method and system that further improves the long-term memory rate.

In the brain science-based learning memory method implemented by a computer, the step of providing a predetermined number of objects to be learned to be learned in advance, and brain stimulation of a user learning the object to be learned based on an association method, It may include providing a semantic associative stimulus and a visual associative stimulus based on the learning object.

In one embodiment of the present invention, the brain science-based learning memory system includes an object providing unit that provides a predetermined number of objects to be learned to be learned in advance, and a user who learns the object to be learned based on an association method. It may include an associative stimulus providing unit that provides semantic associative stimulation and visual associative stimulation based on the object to be learned so that brain stimulation is performed.

In a computer program stored in a recording medium to execute a brain science-based learning memory method combined with an electronic device implemented as a computer, the brain science-based learning memory method provides a predetermined number of objects to be learned to be learned in advance. Providing a semantic associative stimulus and a visual associative stimulus based on the learning target object so that brain stimulation of a user learning the learning object based on the associative method is performed It may include steps.

According to an embodiment of the present invention, learning to stimulate the brain through visual associative stimulation and collocation-based semantic associative stimulation for words to be learned based on brain science-based learning techniques is performed. By providing, memory storage can be improved.

In addition, by providing a function to review the learned object (e.g., word) based on the learner's forgetting curve rather than simple repetitive memorization, long-term recognition rate (i.e., Long-term memory rate) can be further improved.

1 is a diagram schematically illustrating a relationship between a brain science-based learning memory system and a user terminal according to an embodiment of the present invention.

2 is a block diagram showing an internal configuration of a learning memory system according to an embodiment of the present invention.

3 is a flow chart showing a learning memory method according to an embodiment of the present invention.

4 is a diagram illustrating an area of the brain that is stimulated by providing brain science-based learning according to an embodiment of the present invention.

FIG. 5 is a diagram showing a screen configuration provided to confirm a learner's metamemory monitoring, which is one of the associative stimuli, according to an embodiment of the present invention.

6 is a diagram illustrating a screen configuration for providing semantic associative stimulus based on salmon according to an embodiment of the present invention.

7 is a diagram illustrating a screen configuration for providing a visual association stimulus by combining an image related to a learning target word and a learning target word according to an embodiment of the present invention.

8 is a diagram illustrating a screen configuration for providing an associative stimulus according to a learning mode according to an embodiment of the present invention.

9 is a diagram illustrating a screen configuration for providing an associative stimulus according to a review mode according to an embodiment of the present invention.

10 is an exemplary diagram showing a learner's forgetting curve according to an embodiment of the present invention.

The present embodiments relate to a technology for providing learning about an object to be learned (i.e., a learning object), and in particular, when learning an object (e.g., a word) to be learned based on brain science rather than simple repetitive memorization, and already Providing word learning through stimulus association techniques to increase the long-term recognition rate (i.e., long-term memory rate) that allows the learned and reviewed objects (e.g., words) to be memorized in the brain's long-term memory when reviewing learned words. It is about the technology to do. More specifically, by maximizing brain stimulation by simultaneously presenting visual associative stimulation and semantic associative stimulation using collocation for the object to be learned, the object to be learned is the long-term memory of the learner's brain. It's all about the art of making it remembered in places.

In the present embodiments, a learning target word is described as an example of the learning target object, but this corresponds to an embodiment, and the learning object for brain science-based learning memory may include various types of learning other than word learning. For example, the brain science-based learning method through associative stimulation may be applied to memorizing buildings, road names, images, etc., in addition to learning words, or learning existing problems such as public officials test, driver's license test, and TOEIC test.

In this specification, the word learning service is to provide words and their meanings (i.e., meanings) for the purpose of learning to memorize words, and you can view, edit, print, etc. by storing words, idioms, and example sentences in a dictionary. It can mean a service that is there.

In this specification, the'dictionary' includes all the words defined in the English dictionary, the meaning of the word, idioms, examples, etc., and includes all the salmon corresponding to each word defined in the dictionary registered in the corpus. I can. A corpus is a language material that collects texts in a computer-readable form for language research. It is a collection of materials that can collectively reveal the reality of language, according to standards such as media, time, space, and annotation level. It includes a variety of types and can represent a bunch of horses that can be seen as a lump. For example, the dictionary may include all the corresponding words for each word defined in a dictionary registered in COCA (Contemporary American English), a kind of corpus, or a similar system. Here, the dictionary may be stored in the database of the server, and when downloaded from the server from the user terminal as necessary, the dictionary may be stored in the user terminal and used offline. In addition, not all words registered in the dictionary, but some words searched or selected by the user may be selectively downloaded to the user terminal and provided to be used offline. In the present embodiments, a description is given that the dictionary contains salmon registered in a corpus (eg, COCA), but this corresponds to an example, and all words registered in a corpus (eg, COCA) are described. As for the salmon, the learning memory system implemented in the form of an application in the user terminal may be downloaded by separately accessing a server of a corpus (eg, COCA), and stored and maintained.

In the present specification,'collocation' refers to a group of words that are most commonly encountered in everyday life, and may indicate words that are associated with each other when a specific word is presented. In this specification, it is confirmed that the corpus (eg, COCA) is associated with each word, and registered salmon may be used. For example, as a salmon of "parallel" which means "horizontal" or "parallel", "parallel line" reminiscent of "horizontal line" may be registered in a corpus (eg, COCA), and By linking with a server of (corpus, for example, COCA), salmons for each word may be registered in a'dictionary'.

In the present specification, the'learning word pool' is a list including words selected by a user (i.e., a learner) for learning and a collocation corresponding to each of the selected words, for example, memorization from a learning list, a dictionary, etc. Information for semantic associative stimulation of each of the selected words and information associated with the words selected for learning of the selected words (e.g., collocation) and information for visual association stimulation (e.g., Word as Image). For example, the learning vocabulary pool includes 100, 1000, etc. words that need to be continuously studied for a long period of time, various information related to these words, and words associated with each word to be studied. Animation information using word spelling such as as Image may be included. Here, the learning target words included in the learning word pool may include both unmemorized words and memorized words to be reviewed, targeting the learning target words, and whether or not the words are memorized and unmemorized words are flags, etc. Can be distinguished by the setting indicator of. For example, a flag may be set for a word that has already been learned (i.e., a word to be reviewed), a flag may not be set for an unlearned word, and the flags of the learned word and the unlearned word are different, such as 0 or 1. It can be set and classified.

In this specification, the'learning list' is automatically extracted from the system to memorize within a predetermined time (ie, in a short time) among words to be learned included in the learning word pool, or includes some words selected by the user. You can display a list of things. That is, the'learning list' may include a predetermined number of words selected from the learning word pool. For example, the learning list is a list that includes words to be memorized right now and words to review using a means of transportation or using a break, and target words included in the learning word pool (non-memory 5, 10, 20, etc. words selected from among words and previously learned words to be reviewed) may be included.

In this specification, the'review list' is automatically extracted from the system in order to memorize within a predetermined time (ie, in a short time) among words already learned through the learning list among the words to be studied included in the learning word pool. , A list including some words selected by the user may be displayed.

In the present embodiments, the operation mode for providing word learning may be divided into a learning mode for learning a new word and a review mode for reviewing an already learned word, and the operation mode may be set by user selection. If necessary, the learning mode and the review mode may be combined and operated for user convenience.

In the present embodiments, the'learner' may represent a user performing word learning, and the'user terminal' may represent an electronic device such as a smartphone, tablet, or computer possessed by the user or the learner.

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

1 is a diagram schematically illustrating a relationship between a brain science-based learning memory system and a user terminal according to an embodiment of the present invention. 1 shows a user terminal 101 and a learning memory system 100. In FIG. 1, an arrow indicates that data can be transmitted and received between the user terminal 101 and the learning memory system 100 using a wireless/wired network.

User terminal 101 is a personal computer (PC), a smart phone (smart phone), a tablet (tablet), a wearable computer (wearable computer), etc., access to a web/mobile site related to the learning memory system 100 or for services only It may mean any terminal device capable of installing and executing an application (hereinafter, referred to as an “object learning app (eg, a word learning app)”). In this case, the user terminal 101 may perform overall service operations such as configuring a service screen, inputting data, transmitting and receiving data, and storing data under the control of a web/mobile site or a dedicated application.

The learning memory system 100 serves as a service platform that provides a word learning service to a client. In this case, the learning memory system 100 may be implemented in the form of an application on the user terminal 101, but is not limited thereto, and is implemented in a form included in a service platform that provides word learning services in a client-server environment. It is also possible. In particular, the learning memory system 100 provides visual associative stimulation and semantic associative stimulation for learning of words to be memorized based on brain science and for reviewing already learned words, so that the words presented through the screen are It can provide the function of stimulating the learner's brain so that it is memorized in the long-term memory place of the brain.

Hereinafter, a service environment through a word learning app will be described in detail, but the present invention is not limited thereto, and the word learning service to which the present invention is applied may be implemented as a connection environment of a web/mobile site.

FIG. 2 is a block diagram showing an internal configuration of a learning memory system according to an embodiment of the present invention, and FIG. 3 is a flow chart showing a learning memory method according to an embodiment of the present invention.

As shown in FIG. 2, the learning memory system 200 according to the present embodiment may include a processor 210, a bus 220, a network interface 230, a memory 240, and a database 250. . The memory 240 may include an operating system 241 and a service providing routine 242. The processor 210 may include an object providing unit 211 and an associative stimulus providing unit 212. In other embodiments, the learning memory system 200 may include more elements than those of FIG. 2 or some elements may be omitted.

The memory 240 is a computer-readable recording medium and may include a permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), and a disk drive. In addition, program codes for the operating system 241 and the service providing routine 242 may be stored in the memory 240. These software components may be loaded from a computer-readable recording medium separate from the memory 240 using a drive mechanism. Such a separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, disk, tape, DVD/CD-ROM drive, memory card, external HDD, and USB. In another embodiment, software components may be loaded into the memory 240 through a network interface 230 other than a computer-readable recording medium.

The bus 220 may enable communication and data transmission between components of the learning memory system 200. Bus 220 may be configured using a high-speed serial bus, a parallel bus, a storage area network (SAN), and/or other suitable communication technology.

The network interface 230 may be a computer hardware component for connecting the learning memory system 200 to a computer network. The network interface 230 may connect the learning memory system 200 to a computer network through a wireless or wired connection.

The database 250 is configured by a word learning app, which downloads basic dictionary information from an online dictionary DB (database) system, stores and maintains it as a learning list, and also stores all information necessary when operating a learning memory system. Plays a role. For example, the database 250 may be used to provide a word learning function in an offline local environment. In this case, the basic dictionary information may include a spelling (heading control) and a pronunciation symbol for each word, voice data of pronunciation, at least some meanings, and at least some example sentences and translations of the corresponding example sentences. For example, at least some of the meanings may be limited to the main meanings among the various meanings of the dictionary, and at least some example sentences may also be limited to several representative example sentences among the various example sentences registered in the dictionary for the word. Each word may contain information on whether an example sentence and a translated sentence exist. In other words, words in the dictionary may be classified into words without example sentences, words with example sentences but without translation, and words with example sentences and translations. The above-described basic dictionary information may be downloaded at once from the dictionary DB system, and some dictionary information (eg, example sentences, translations, etc.) may be downloaded at a specific time (eg, a time point when a user accesses a learning list). In addition, each word may include information (eg, upper/middle/lower) on the difficulty level classified in the dictionary. In addition, the dictionary DB may include a salmon corresponding to each word registered in a server of a corpus (eg, COCA), and the aforementioned salmon may also be downloaded collectively to be used offline.

Further, the learning memory system 200 may support a cloud-based word learning service through synchronization with the database 250. In other words, if the words included in the learning list are logged in to the user account when online and the user has set up synchronization, they are matched with the user information of the database 250 and are synchronized to the database 250 to be searched and stored on another device or PC. Single words can also be kept in the same list pool. Accordingly, the learning memory system 200 can maintain the same word list pool on any device through the synchronized learning list of the database 250.

The processor 210 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations of the learning memory system 200. Instructions may be provided to the processor 210 by the memory 240 or the network interface 230 and via the bus 220. The processor 210 may be configured to execute program codes for the object providing unit 211 and the associative stimulus providing unit 212. Such program codes may be stored in a recording device such as the memory 240.

The object providing unit 211 and the associative stimulation providing unit 212 may be configured to perform the steps 310 to 320 of FIG. 3.

First, before providing the words to be learned, the learner selects the words to learn to memorize, or the system recommends words using an algorithm that is widely used in machine learning or game theory. ) Can be created. In this case, the learning target words may include a preset predetermined number of words selected as targets for words included in the dictionary and the learning word pool.

For example, at least some of unmemorized words (i.e., new words that have not been learned) among learning target words included in the learning word pool may be automatically selected by the system as learning target words, or may be selected by the learner. May be. As another example, among words included in the dictionary, a predetermined number of unmemorized words corresponding to the learner's current learning difficulty or the learner's required difficulty may be selected as the learning target words. At this time, if the difficulty required by the learner is not set, a certain number of words corresponding to the words of the lowest level of difficulty may be set as the words to be learned. After that, each time the word learning is completed, the same difficulty level or A predetermined number of words corresponding to a higher level of difficulty may be sequentially selected as the words to be learned.

In addition, when the system automatically selects the words to be learned, the words to be learned are among several selection criteria, such as recommendation through comparison of the latest memorization, difficulty, and word learning level information of learners and other learners participating in the system. It may be selected by combining two or more selection criteria, and a learning word pool including the selected learning target words may be generated. For example, for the unmemorized words included in the dictionary or the learning word pool, the latest words at the upper level, the latest words at the middle level, and the latest words at the lower level are classified, and the latest words at the lower level to the words corresponding to the higher levels. By selecting the number of words as determined by the learner or as determined by the system, a learning list including the words may be generated.

In step 310, the object providing unit 310 may check an operation mode for providing word learning, and provide a learning target word included in the learning list according to the operation mode.

For example, the object providing unit 310 may check whether the operation mode for word learning is set to one of a learning mode for learning a new word and a review mode for reviewing an already learned word. When the learning memory system 100 is implemented in the user terminal 101 in the form of an application, the learner about the setting information of the learning mode and the review mode displayed on the operation mode setting screen provided through the screen of the user terminal 101 Based on the selection, an operation mode can be set. If necessary, the system has settings for the learning mode and review mode, but it can also be shown to the user in one operation mode.

Then, when a command for driving the word learning function occurs, the object providing unit 310 checks the setting information of the operation mode set as described above, and includes it in the learning target word or review list included in the learning list according to the checked mode. It is possible to provide words to be learned. Here, the words included in the review list (i.e., words to be reviewed) target all words included in the learning word pool, and within a predetermined time (that is, within a short time) among words already learned through the learning list. ) Can contain words that are automatically extracted from the system for memorization, or selected by learners. In addition, the review list may include words included in the learning list before a predetermined reference time based on the current time point as words for review (ie, words to be reviewed). For example, words included in the learning list prior to a reference time such as one week, ten days, full moon, and one month from the current point in time may be automatically included in the review list as words for review (ie, words to be reviewed). As such, the system may automatically set words to be included in the review list (ie, words to be reviewed), or the reference time may be set by the learner. In addition, words selected by the user among previously learned words may be included in the review list.

In step 320, the associative stimulation providing unit 212 provides semantic associative stimulation and visual association based on the learning target words (that is, including new words to memorize and review target words) provided according to the set operation mode. Can provide stimulation.

Here, the semantic associative stimulus refers to a salmon corresponding to any one specific word among the provided learning target words (ie, a salmon registered in relation to a specific word in a corpus, for example, COCA) as a corresponding learning target. It can be provided with words to indicate a function that stimulates the learner's brain. In addition, the visual associative stimulus may represent a function of stimulating a learner's brain by providing an image (or animation) reminiscent of the meaning of the learning target word together with the learning target word.

In step 321, the associative stimulus providing unit 212 may provide confirmation of the user's metamemory monitoring in relation to the provided learning target word. Here, providing confirmation of metamemory monitoring indicates confirming the metamemory effect, and metamemory is an element of hypercognition, and knowledge of one's own memory capacity and capacity, It can represent knowledge of memory processes and memory strategies, and knowledge of efforts to store or retrieve information from the brain.

For example, providing a user's metamemory monitoring confirmation provides a function of selecting whether the learner knows or not knows the provided learning target word, and by providing monitoring of the user's selection, It may indicate that the learner's hippocampus is stimulated during learning or review. As described above, the user's metamemory monitoring check may be used to induce a learner to better memorize the learning word by allowing the learner to determine and select whether or not he knows the learning word before learning or review.

In this way, after providing the confirmation of metamemory monitoring in relation to the target word, semantic associative stimulus and temporal associative stimulus may be sequentially provided. In this case, after the visual associative stimulus is provided, the semantic associative stimulus may be sequentially provided. The visual association stimulus and the semantic association stimulus serve as hints to recall the corresponding words to be learned or reviewed, and may be expressed as a cued effect. In other words, it is possible to perform a function of providing a word-related meaning, sense, spelling, image, etc. together with the word so that the learner can remember the meaning of the word and the word for a longer time.

In step 322, the associative stimulus providing unit 212 may provide a salmon-based semantic associative stimulus corresponding to the provided learning target word.

For example, the associative stimulus providing unit 212 targets a dictionary or a learning word pool that stores a plurality of words, the meaning of each word, the etymology of the corresponding word, a similar word, an opposite word, and a collocation. It is possible to provide semantic associative stimulus by extracting the salmon of, and combining the extracted salmon with the words to be studied and providing them together. Here, a case of extracting a salmon has been described as an example, but this corresponds to an embodiment. In addition to the salmon, the etymology, similar words, and opposite words of the words to be learned may be extracted and combined with the words to be learned and provided together. In addition, for semantic association stimulation, at least one of an etymology, a similar word, an opposite word, and a salmon may be extracted and provided in combination with the learning target word.

In step 323, the association stimulus providing unit 213 may provide a visual association stimulus by providing a combination of an image related to a learning target word and a learning target word.

For example, the associative stimulus providing unit 213 may provide a combination of an image reminiscent of a meaning of a word to be learned, an attribute or subject situation according to a part of speech, and an action/function, and the word to be learned. In addition, the associative stimulus providing unit 213 may provide a combination of an image reminiscent of a collocation of a learning target word and a learning target word. For words stored in a dictionary or a pool of learning words or words to be learned, an image representing at least one of the meaning of the word, the etymology of the word, a similar word, an opposite word, and a collocation may be provided in combination with the corresponding word. In this way, by providing semantic associative stimulation and visual associative stimulation, words stored in the hippocampus, which is a pathway for memory, can be induced to be stored in long-term memory locations in the brain.

For example, the associative stimulus providing unit 213 combines and provides a corresponding learning target word-related image previously generated according to at least one of the rules shown in Table 1 below and a corresponding learning target word, thereby providing visual association. Can provide stimulation.

1. Rule 1: An image that immediately associates the attributes (e.g., nouns), subject situations (e.g., adjectives, conceived nouns), and actions/functions (e.g., verbs) according to the part of speech of the subject to be studied within a predefined time Can be used to stimulate visual association of the target word for learning. 2. Rule 2: Make sure that the spelling of the word to be learned (e.g., a specific language such as English, Chinese, Japanese, German, Spanish, French) is immediately recognized within a predefined time, but the spelling of the word is modified by more than the reference value. An image within a range that is not within the range may be used for visual association stimulation (e.g., partial or full spelling of the word may be included in the image, and the spelling on the image including the spelling may not be distorted more than the reference value. A transformed image within a range that does not allow the learner to recognize the spelling can be used for visual association stimulation). Rule 3: Images representing the attributes of the collocation and collocation of the words to be learned, the subject context, and actions/functions can be used for visual association stimulation. Rule 4: Images including animation and sound (sound) effects can be used for visual association stimulation. 5. Rule 5: Regardless of the country in which the word is used and the culture of that country, valid images can be used for visual association. 6. Rule 6: An image containing the full spelling of the word being studied at the very beginning or at the end can be used for visual association stimulation. Rule 7: Images that maintain the visual consistency of the screen providing visual stimulation can be used for visual association stimulation. For example, when the background of a screen providing visual association stimulus is transparent, an image expressed in black or the like may be used as a text color. Rule 8: An image reflecting spelling (i.e. letters) in a color designated according to the user's or system's settings can be used for visual association stimulation. Rule 9: An image that checks the license relationship and spells a predefined font as a default font can be used for visual association stimulation. For example, Nunito Sans Font or the like may be used as a basic font. 10. Rule 10: Images containing words associated with the words to be learned, e.g., synonyms, antonyms, collocations, etc., can be used for visual association stimulation. Rule 11: Images represented in 3D can be used to stimulate visual association.

As described above, as described in FIG. 3, by providing an initial memory monitoring confirmation and providing semantic associative stimulus and visual associative stimulus, the learner may learn or review a specific word repeatedly. In addition, a test function (i.e., test effect) that allows the learner to input the correct answer, evaluates/confirms whether the input information (eg, correct answer) is correct, and checks the initial memory monitoring, In addition to semantic and visual association stimuli, an added test function (that is, test effect) is provided to increase the learning and review repetition effect of the corresponding word, thereby increasing the long-term recognition rate. Here, the test function (e.g., test effect) may include both a test input function for inputting a correct answer from a learner and a test evaluation function for evaluating/confirming whether the input information is correct, and test input Functions and test evaluation functions may be separated. Accordingly, a test input process in which the correct answer is entered for each step may be included, and the process of confirming the test result (ie, whether the input information corresponds to the correct answer) (i.e., a test evaluation function) is also performed at each step. I can.

4 is a diagram illustrating an area of the brain that is stimulated by providing brain science-based learning according to an embodiment of the present invention.

Referring to Figure 4, by providing a visual association stimulus (Word As Image Cue, 401) and semantic association stimulus (COCA Collocation Cue, 402) during learning or review, by stimulating different parts of the learner's brain, corresponding It can be seen that it increases the likelihood (i.e., probability) that the words to be learned will be stored in long-term memory in the hippocampus. In other words, different parts of the brain may be stimulated through associative stimulation so that the long-term re-reception rate (that is, the long-term memory rate) indicating the time to be remembered by the brain is improved.

In addition, by providing a review function for a word to be reviewed based on a repetition effect in the review mode, it is possible to maximize the memory of a learner related to the word and reduce the burden of review. For example, by calculating a repetition interval for review (i.e., a repetition period or a review period) based on the forgetting curve, and providing a review according to the calculated repetition interval (i.e., a review period), another part of the brain is reviewed. By stimulating the word, it is possible to increase the long-term recognition rate in which the word is memorized in the brain and at the same time reduce the burden of reviewing unnecessary simple memorization.

FIG. 5 is a diagram showing a screen configuration provided to confirm a learner's metamemory monitoring, which is one of the associative stimuli, according to an embodiment of the present invention.

Referring to FIG. 5, when an application for learning words is driven and loaded into a memory in a corresponding program, an operation mode setting screen for learning words (i.e., an initial screen for learning words, 510) is a user terminal (i.e., a learning memory system). ) Can be displayed on the screen.

At this time, either of the learning mode and the review mode included in the screen 510 may be selected by a learner (ie, a user), and a word included in the learning list or a word included in the review list according to the selected mode It may be provided to learners through the screen 520. That is, when the learning mode or the review mode is selected by a user touch or the like, the operation mode setting screen 510 may be switched to a screen 520 that provides confirmation of the learner's metamemory monitoring. The learning mode and the review mode are managed only inside the system and can be combined into one operation mode for user convenience.

When a learner reads aloud, sees, writes and listens to all objects to learn/memorize, such as specific words, images, and problems, using the five senses, the object recognized through learning is a person (i.e., the learner ) Can be stored preferentially in the hippocampus of the brain. In this way, the target object (e.g., words) stored in the hippocampus is stored in the short term, and for long-term memory, the target object stored in the hippocampus must be moved to a long-term memory location in the brain, and for this purpose, various areas of the brain must be stimulated. . That is, the recognized target object (e.g., word, etc.) is initially introduced into the hippocampus, and it is determined whether or not to leave the target object in the hippocampus (i.e., whether to memorize it). Initial memory monitoring confirmation can be provided in order to leave the first recognized word in the brain, even in the short term.

For example, when a learner selects one of the learning mode 511 and the review mode 512 on the screen 510 or is automatically selected by the system, the screen 510 may be converted to the screen 520, and the screen 520 stimulates the learner's hippocampus to temporarily store the learning word in the brain by allowing the learner to directly select display information 521 and 522 indicating "know" and "don't know", so that the associative stimulation providing unit 212 ) Can stimulate the learner's hippocampus.

6 is a diagram illustrating a screen configuration for providing semantic associative stimulus based on salmon according to an embodiment of the present invention.

Referring to FIG. 6, screens 610 and 630 may represent screen configurations that provide confirmation of metamemory monitoring, and screens 620 and 640 may represent screen configurations that provide salmon-based semantic association stimuli.

When the learning mode is selected as the operation mode, the screens 610 and 620 may represent a screen provided for checking initial memory monitoring provided according to the learning mode and a screen providing semantic association stimuli. In addition, when the review mode is selected as an operation mode, screens 630 and 640 may represent a screen for confirming initial memory monitoring provided according to the review mode, and a screen providing semantic association stimulus. Screens 610 and 630 are screens for checking initial memory monitoring, and screens 620 and 640 are screens that provide semantic associative stimulation, and may be combined and provided as needed.

For example, in relation to the word "Parallel" presented through screens 610 and 630 that provide initial memory monitoring confirmation, when the display information 611 and 631 indicating "I do not know" is selected by the user, the associative stimulus providing unit 212 ) May be provided through the screens 620 and 640 by combining the corresponding word-related salmon (eg, Parallel Line, 622, 642) with the corresponding word (Parallel, 621, 641). Here, for a salmon-based semantic association stimulus, an identifier of a corresponding word and an identifier of a salmon may be matched and stored and maintained in a database.

As such, the screens 620 and 640 that provide the salmon-based semantic association stimulus may include the corresponding learning target words 621 and 641 and the salmon 622 and 642, and at this time, the corresponding learning target words 621, As a hint for inducing the learner to think or infer the meaning of 641) by stimulating the brain, the associative stimulus providing unit 212 indicates the meaning of the words to be learned (621, 641) with a predetermined asterisk (**) or corresponding thereto. One display information and the meaning (line) of the salmon may be combined and provided together through the screens 620 and 640.

When the operation mode is the learning mode, the screen 620 may further include an input window 624 for inputting the correct answer of the corresponding learning target word or a similar method to check the correct answer in the lower area of the screen. As such, the associative stimulus providing unit 212 provides a test process (e.g., a test effect) that receives the correct answer of the word from the learner when providing semantic associative stimulus, thereby increasing the memorization rate of the word. have. At this time, if the learner of the corresponding word does not know the correct answer, the display information 625 indicating the next hint is selected by the learner or automatically, the associative stimulus providing unit 212 to provide an image related to "Parallel" as the next hint. I can. That is, a screen that provides visual association stimulation may be provided. Here, the operation of providing a visual association stimulus will be described in detail with reference to FIG. 7 below.

In addition, when information related to the word ("Parallel") presented in the input window 624 is input, the correct answer checking unit (not shown) determines whether the input information corresponds to the correct answer of the word or not. You can check it for reference. Here, the process 210 may further include a correct answer check unit for checking the test result.

On the other hand, when the operation mode is the review mode, the screen 640 determines whether the corresponding learning target word ("Parallel") is a known word (ie, memorized word) or an unknown word (ie, unmemorized word). In order to be selected, display information 644 and 645 for additionally stimulating the user's brain may be included. At this time, when the display information 644 indicating "know" is selected, the associative stimulation providing unit 212 is a screen including the meaning (meaning) of the word and the meaning (meaning) of the word or whether the learner knows the word accurately. By controlling the screen 640 to be switched to a screen where the correct answer can be checked, the learner can once again check the meaning of the word (“Parallel”), thereby further stimulating the brain. When the display information 645 indicating "I do not know" is selected, the associative stimulation providing unit 212 may control the screen 640 to be switched to a screen providing visual associative stimulation.

FIG. 7 is a diagram illustrating a screen configuration for providing a visual association stimulus by combining an image related to a learning target word and a learning target word according to an embodiment of the present invention.

Referring to FIG. 7, when the operation mode is a learning mode, a screen 710 indicates a screen configuration in which a visual association stimulus is provided, and when the operation mode is a review mode, a screen 720 may indicate a screen configuration in which a visual association stimulus is provided. have. As in FIG. 6, the learning mode and the review mode may be systematically combined and operated.

Referring to FIG. 7, the screens 710 and 720 provided for the visual association stimulus include a learning target word (eg, a word included in a learning list or a word included in a review list) and an image related to the learning target word (Word As Image). Can include. At this time, the image related to the learning target word may correspond to an image reminiscent of the meaning of the word or the meaning of the salmon based on the rules described in Table 1 above, and the images 711 and 721 are It may include at least some of the spelling.

In this case, in the case of the learning mode, the associative stimulus providing unit 212 may include and provide an input window for confirming the correct answer on the screen 710. In addition, when the operation mode is the review mode, the associative stimulus providing unit 212 displays information 722 for selecting from the learner whether or not the meaning of the corresponding word is associated and known based on an image including the spelling of the corresponding word. And 723) to provide a screen 720.

In FIG. 7, an operation of providing visual association stimulus by combining an image representing the meaning of “parallel” and “parallel” has been described as an example. In addition, in the case of “exit”, it is reminiscent of running away as a meaning of an exit. , An image that transforms "X" among the spellings of "EXIT" to remind the appearance of running away may be used for visual association stimulation. In the case of "ELEVATOR", an image transformed into a shape of an elevator button going down "V" and an elevator button going up "A" may be used for visual association stimulation. As such, the image used for visual association may be an image generated by transforming some or all of the spelling of the word so as to remind the meaning (meaning) of the word.

8 is a diagram illustrating a screen configuration for providing an associative stimulus according to a learning mode according to an embodiment of the present invention.

8 shows, when the operation mode is set to the learning mode, according to the learning mode, the learner's brain is stimulated in relation to any one specific word among words included in the learning list, and the corresponding word is moved from the hippocampus to a long-term memory location. Screen switching configurations 810, 820, 830, 840, 850, and 860 controlled to be memorized may be shown.

According to FIG. 8, in the case of the learning mode, display information 821 indicating "know" on the screen 820 in addition to the screen 820 providing initial memory monitoring confirmation and the screens 830 and 840 providing associative stimulation When selected, the associative stimulus providing unit 212 may control the screen 820 to be switched to the screen 860 for checking whether the learner knows the meaning of the word. At this time, in the case where the display information 861 indicating "wrong" is selected on the screen 860 because the learner does not accurately memorize the meaning of the word, the associative stimulus providing unit 212 controls the screen 860 to be switched to the screen 830. I can. When the display information 862 indicating "next word" is selected, the object providing unit 211 may control to provide learning of the next word included in the screen 820 among words included in the learning list. . For example, a configuration of the screen 820 may be provided in relation to a word corresponding to the next order (ie, the next word), and control may be performed to switch the screen to 820 to 860 in relation to the next word.

And, when the operation mode is the learning mode, when the meaning of the word is input as information from the learner through the input window 841 on the screen 840, the screen 840 provides an evaluation function to check whether the input information is the correct answer. It may be switched to the provided screen 850. As described above, the screen 860 providing a confirmation function and the screen 850 providing an evaluation function are additionally provided when learning a word, thereby increasing the probability that the word will be remembered for a long time in the learner's brain, that is, a long-term recognition rate. .

9 is a diagram illustrating a screen configuration for providing an associative stimulus according to a review mode according to an embodiment of the present invention.

9 shows, when the operation mode is the review mode, according to the review mode, the learner's brain is stimulated in relation to any one specific word from among words included in the review list, and the corresponding word is moved from the hippocampus to a long-term memory location and long-term memory. Screen switching configurations 910, 920, 930, 940, 950, and 960 that are controlled to be changed may be indicated. 9, according to the learning mode, the operation mode is automatically switched to the learning mode after a predetermined time (e.g., 5 minutes, 10 minutes, or 30 minutes) based on the time when learning of words included in the learning list is completed. It can be changed to review mode. Then, as shown in FIG. 9, the screen may be switched to provide a review function for words that have been learned through the learning list in the learning mode before being changed to the review mode.

According to FIG. 9, in the case of the review mode, in addition to the screen 920 providing initial memory monitoring confirmation and the screens 930 and 940 providing associative stimulus, display information 921 indicating "know" in the screen 220 When selected, the associative stimulus providing unit 212 may control the screen 920 to be switched to the screen 960 for checking whether the learner knows the meaning of the word. At this time, in the screen 960, when the display information 961 indicating "wrong" is selected because the learner does not memorize the meaning of the word correctly, the associative stimulation providing unit 212 controls the screen 960 to be switched to the screen 930. I can. When the display information 962 indicating "next word" is selected, the object providing unit 211 may control to provide a review of words in the next order included in the screen 920 among words included in the review list. . At this time, in the screen 930 as well as 920, when the display information 931 is selected, the associative stimulus providing unit 212 controls the screen 930 to be switched to the screen 960, so that the learner knows exactly the meaning of the word or recognizes it. It can provide a confirmation function to check once again whether it is doing or not. In addition, even when the display information 941 is selected on the screen 940, the associative stimulus providing unit 212 may control the screen 930 to be converted to the screen 960. As such, the associative stimulus providing unit 212 provides a monitoring confirmation function at every step of initial memory monitoring confirmation, semantic associative stimulus, and visual associative stimulus, thereby additionally performing the learner's brain stimulation so that the corresponding word is converted to the learner's long-term memory. It can increase the long-term recruitment rate that solidifies the time that is memorized in the place.

While maintaining the basic philosophy reflected in FIGS. 8 and 9, functions may be added or subtracted according to user convenience, or common functions may be combined into one screen and operated.

User feedback information such as test and confirmation (for example, user selection such as know, don't know, wrong, etc.) in relation to the words learned and reviewed on the screens 940 and 850 that provide evaluation functions (ie, evaluation steps) Based on the user's memory index (ie, memory level) related to the word, the learning level to be provided to the learner, that is, the difficulty of the word may be determined based on the determined memory index. For example, if learning is currently provided for words corresponding to the beginner's difficulty level 1, but the difficulty level of the word to be provided is determined to be intermediate difficulty level 2 based on the feedback information, from the subsequent learning mode, Words are provided so that learning can be performed. Accordingly, words corresponding to difficulty 1 included in the learning list may be updated to words corresponding to difficulty 2. In addition, the memory index of each word may be used to calculate the repetition interval based on the forgetting curve of FIG. 10 below.

In addition, the memory index may be proportional to the degree to which the user, who is a learner, knows the word. For example, if the word to be studied is an English word, does the learner know the meaning of the word (i.e., meaning) by looking at the English word alone, or does the learner know the meaning of the English word given a collocation of the English word, or Given an image related to the corresponding English word or salmon, the memory index may vary in proportion to the degree to which the meaning of the corresponding English word is known (ie, the degree to which it is remembered). For example, the user's memory index related to the word may be calculated or determined at a certain stage (as soon as a word is given, when a salmon is given, or when an image is given) through initial memory monitoring for each stage. Then, the degree of difficulty of the word to be learned may be determined based on the user's correct answer rate, the difficulty level of the item response theory, and the degree of discrimination (ie, discrimination degree index).

10 is an exemplary diagram showing a learner's forgetting curve according to an embodiment of the present invention.

FIG. 10 is a diagram provided to explain that the long-term recognition rate is considerably improved by providing a review function for a word to be reviewed based on a repetition effect based on a forgetting curve.

According to FIG. 10, based on the repetition interval algorithm based on the forgetting curve, the system itself automatically provides a repetition interval (ie, a repetition period or review) so that the memory of the corresponding word lasts for a long time after the learning of the corresponding word is completed. Expressed by a period) may be determined, and a review may be provided according to the determined repetition interval (ie, a repetition period or a review period). In order to determine the repetition period based on the repetition interval algorithm, the processor 210 of FIG. 2 may further include a repetition period determination unit.

The repetition cycle determining unit may determine the same or different repetition cycles for each word based on the user's memory index for each word, the difficulty level of the corresponding word, and the forgetting curve for words that have already been learned among words included in the learning list. . In addition, a review word may be automatically provided according to the determined repetition period.

For example, if the operation mode is set to the learning mode and the current point in time corresponds to a repetition cycle related to a specific word while word learning is in progress, the setting of the operation mode may be automatically changed from the learning mode to the review mode. Accordingly, a review function for words corresponding to the repetition period may be provided. As another example, when the time point corresponding to the repetition cycle is reached, the learning mode is immediately or preset after the learning of a specific word that is currently being learned is completed, or the learning of a certain number of words included in the current learning list is completed. After a defined period of time, the learning mode is automatically changed to a review mode, and a review function related to a review word reaching a repetition period may be provided.

In this case, the repetition cycle determining unit (not shown) may calculate a repetition cycle for each word based on Equation 1 below for words that have already been learned.

[Equation 1]

I(n)=I(n-1)*EF(n) ※ n>2, initial EF=2.5, minimum EF=1.3, I(1)=1, I(2)=3

EF(n)=EF(n-1)+f(m)

f(m)=(0.1-(5-m)*(0.08+(5-m)*0.02))

※Initial EF value, minimum EF value, I(1) initial value, I(2) initial value, and constants such as 0.1, 5, 0.08, and 0.02 can be changed to determine the most suitable repetition period for the learning system.

In Equation 1, EF (Easiness Factor) represents the difficulty of the word (e.g., advanced, intermediate, beginner), m represents the memory index (i.e., word memory index, memory state) of the word-related learner, and I (interval) represents a repetition period (ie, a review period), and n may represent a repetition number (or repetition order).

According to Equation 1, the initial EF may be pre-designated as an initial value such as 2.5, and a first repetition period (ie, review period) of the corresponding word may be calculated based on the initial value 2.5. Thereafter, a learning difficulty level to be provided in the second repetition period may be determined based on the learner's feedback information and the memory index m, and a second repetition period may be determined based on the learning difficulty level.

For example, I(1)=1 may indicate a case in which the first repetition period related to the corresponding word is 1 day (one day). That is, after completing the learning of the corresponding word in the learning mode, it may represent that a review of the corresponding word is provided at a time 1 day has elapsed from the completion time. I(2)=3 may indicate a case in which the second repetition period related to the corresponding word is 3 days. That is, it may indicate that the review of the corresponding word is provided when 3 days have elapsed from the time when the review of the corresponding word is completed according to the first repetition period. Further, the memory index of a learner related to a specific word, a learning difficulty related to a word to be provided, and a repetition period may be continuously changed and updated based on the feedback information of the learner fed back when learning and reviewing the specific word. Accordingly, for the same word, learning and review adaptively optimized for each learner may be provided in consideration of different levels of memory (ie, memory ability index) for each learner. That is, the period during which the memory of the corresponding word according to learning and review is maintained in the brain may be optimized for each learner.

The brain science-based learning memory method may include shorter motions or additional motions based on details described with reference to FIGS. 1 to 10. In addition, two or more operations may be combined, and the order or position of the operations may be changed.

Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer systems and recorded in a computer-readable medium.

The program according to this embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. In addition, methods according to an embodiment of the present invention may be performed by controlling a user terminal by a word learning app. Such an application may be installed in the user terminal through a file provided by the file distribution system. As an example, the file distribution system may include a file transmission unit that transmits the file according to the request of the user terminal.

As described above, according to an embodiment of the present invention, it does not provide learning to simply repeatedly memorize words included in the learning list and words included in the review list, but through initial memory monitoring confirmation, semantic, and visual association stimulation. By stimulating various areas of the brain, the recognized word can be moved to a long-term memory location and stored after the recognized word enters the hippocampus of the brain, which is a pathway to a memory location. And, based on the repetition effect (Repetition Effect) based on the learner's memory (i.e., learner's individual forgetting curve) that is different for each learner according to the difficulty of words, an optimized repetition cycle (i.e., review cycle) is determined for each learner. And, by adaptively adjusting the repetition period based on information (e.g., difficulty level of the word, correct answer rate, know/unknown confirmation information, etc.) each time the learner learns or reviews, different memory indexes for each learner It can provide a review function optimized for That is, it is possible to considerably improve the duration that the reviewed word is memorized in the learner's brain, that is, the long-term recognition rate, rather than simply reviewing at a point where the learner wants or when reviewing the word desired by the user.

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments are, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, such as one or more general purpose computers or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims (20)

1. In the brain science-based learning memory method implemented by a computer,

   Providing a predetermined number of learning target objects to be learned in advance; And

   Providing semantic associative stimulus and visual associative stimulus based on the learning target object so that brain stimulation of a user who learns the learning object is performed based on the associative method

   Brain science-based learning memory method comprising a.
2. The method of claim 1,

   Providing the associative stimulation,

   Providing a user's initial memory monitoring confirmation in relation to the learning object; And

   Providing a test effect to check whether information input in relation to the object to be learned is a correct answer

   Brain science-based learning memory method comprising a.
3. The method of claim 1,

   Providing the associative stimulation,

   For a dictionary or a learning word pool that stores a plurality of words, the meaning of each word, the etymology of the word, a similar word, an opposite word, and a collocation, among the etymology, a similar word, an opposite word, and a collocation of the learning object Extracting at least one; And

   Combining and providing one of the extracted etymology, similar words, opposite words, and collocations of the learning target object and the learning target object

   Brain science-based learning memory method comprising a.
4. The method of claim 1,

   Providing the associative stimulation,

   Providing by combining an image (or animation including sound) representing the meaning of the learning object and the learning object

   Brain science-based learning memory method comprising a.
5. The method of claim 1,

   Providing the associative stimulation,

   Providing a combination of an image (or animation including sound) reminiscent of the collocation of the learning object and the learning object

   Brain science-based learning memory method comprising a.
6. The method of claim 1,

   Providing the associative stimulation,

   Providing a combination of an image (or animation including sound) reminiscent of properties, subject situations, motions, and functions according to the part of speech of the learning object and the learning object.

   Brain science-based learning memory method comprising a.
7. The method of claim 1,

   Providing the associative stimulation,

   Providing a combination of an image (or animation including sound) including some or all of the spelling constituting the learning object and the learning object

   Brain science-based learning memory method comprising a.
8. The method of claim 1,

   Providing the associative stimulation,

   For a dictionary or a learning word pool storing a plurality of words, the meaning of each word, and a similar word, an opposite word, and a collocation of the corresponding word, the meaning of at least one of the similar word, an opposite word, and a collocation of the learning object is Providing by combining the displayed image (or animation including sound) and the object

   Brain science-based learning memory method comprising a.
9. The method of claim 1,

   Providing the associative stimulation,

   Providing the semantic associative stimulus or the visual associative stimulus sequentially after confirming the user's metamemory monitoring in relation to the learning object

   Brain science-based learning memory method, characterized in that.
10. The method of claim 1,

    Providing the learning object object,

    Checking whether the operation mode is set to one of a learning mode and a review mode;

    If it is confirmed that the operation mode is set to the learning mode, providing the predetermined number of objects to be learned; And

    If it is confirmed that the operation mode is set to the review mode, providing a predetermined number of objects to be reviewed from among objects that have already been learned

    Brain science-based learning memory method comprising a.
11. The method of claim 1,

    Providing the review target object,

    Determining a repetition period for each object based on a user's memory index for each object, a difficulty level of the object, and a forgetting curve for the already learned objects; And

    Providing a screen for reviewing the object based on the determined repetition period

    Brain science-based learning memory method comprising a.
12. An object providing unit that provides a predetermined number of objects to be learned to be learned in advance; And

    An associative stimulus providing unit that provides semantic associative stimulus and visual associative stimulus based on the learning target object so that brain stimulation of the user learning the learning target object is performed based on associative method

    Brain science-based learning memory system comprising a.
13. The method of claim 12,

    The associative stimulation providing unit,

    Providing confirmation of user's metamemory monitoring in relation to the learning target object,

    Providing a test effect to check whether the information input in relation to the object to be learned is the correct answer

    Brain science-based learning memory system, characterized in that.
14. The method of claim 12,

    The associative stimulation providing unit,

    For a dictionary or a learning word pool that stores a plurality of words, the meaning of each word, the etymology of the word, a similar word, an opposite word, and a collocation, among the etymology, a similar word, an opposite word, and a collocation of the learning object Extracting at least one, and providing at least one of the extracted etymology, analogous word, opposite word, and collocation with the learning object

    Brain science-based learning memory system, characterized in that.
15. The method of claim 12,

    The associative stimulation providing unit,

    Providing by combining the image (or animation including sound) representing the meaning of the learning object and the learning object

    Brain science-based learning memory system, characterized in that.
16. The method of claim 12,

    The associative stimulation providing unit,

    Providing by combining an image (or animation including sound) reminiscent of the collocation of the learning object and the learning object

    Brain science-based learning memory system, characterized in that.
17. The method of claim 12,

    The associative stimulation providing unit,

    Providing a combination of an image (or animation including sound) reminiscent of properties, subject situations, motions, and functions according to the part of speech of the learning object and the learning object

    Brain science-based learning memory system, characterized in that.
18. The method of claim 12,

    The associative stimulation providing unit,

    Providing a combination of an image (or animation including sound) including some or all of the spelling constituting the learning object and the learning object

    Brain science-based learning memory system, characterized in that.
19. The method of claim 12,

    The object providing unit,

    It is checked whether the operation mode is set to one of a learning mode and a review mode, and if it is determined that the operation mode is set to the learning mode, the predetermined number of objects to be learned are provided, and the operation mode is set to a review mode. If it is confirmed that it has been set, it is to provide a predetermined number of objects to be reviewed among the objects that have already been learned.

    Brain science-based learning memory system, characterized in that.
20. In a computer program stored in a recording medium to execute a brain science-based learning memory method combined with an electronic device implemented by a computer,

    The brain science-based learning memory method,

    An object providing step of providing a predetermined number of objects to be learned to be learned in advance; And

    Providing semantic associative stimulus and visual associative stimulus based on the learning target object so that brain stimulation of a user who learns the learning object is performed based on the associative method

    Computer program comprising a.

Images