KR20230050621A - System and method for improving memorization using study cards - Google Patents

Abstract

A system and a method for improving memorization using a study card can improve the memorization of a user as much as possible by recommending difficulty levels of study cards depending on types of the study cards and skill levels of learning content of the user to provide an efficient study card exposure method for the user. In addition, in an embodiment, the present invention provides various study card difficulty level recommendation method depending on learning abilities of the user and learning content contained in the study card to make the user memorize the study card more perfectly. Moreover, in an embodiment, the present invention precisely produces study cards obtaining information of the user to enable the user to efficiently memorize depending on the learning ability of the user and the types of study cards. Furthermore, in an embodiment, the present invention precisely measures the skill level of study cards of respective users for measuring the learning elapsed time and uses the skill level in the recommendation of study card difficulty levels, thereby being optimized to the learning ability of the user to improve memorizing skills. The system of the present invention comprises a study card generation module, a first question providing module, a measurement module, a difficulty level calculation module, and a second question providing module.

Description

Memorization improvement system and method using learning cards {SYSTEM AND METHOD FOR IMPROVING MEMORIZATION USING STUDY CARDS}

The present disclosure relates to a system for improving memorization ability, and more specifically, to a system and method for improving a user's memorization ability by generating a plurality of learning cards and adjusting the frequency of presentation of the learning cards according to the difficulty of the created learning cards.

Unless otherwise indicated herein, material described in this section is not prior art to the claims in this application, and inclusion in this section is not an admission that it is prior art.

Because memorization is essential for learning ability, various programs that help improve memorization have emerged recently. For example, recently, a foreign language learning program has been released that uses flash cards to convert learning content from short-term memory to long-term memory. However, since the conventional memorization improvement program mainly has a function of quickly increasing the number of exposures of flash cards, there is a limit to increasing the learning effect. In addition, the conventional memorization improvement program provides a learning method that does not consider different learning abilities according to users and does not consider the level of difficulty and type of learning content. The user's learning ability and the level of difficulty of the learning content are factors highly related to the learning effect. Therefore, it is necessary to develop a learning system that reflects various factors that significantly affect the learning effect.

1. Korean Patent Registration No. 10-2286917 (2021.08.02) 2. Korean Patent Registration No. 10-1558529 (2015.10.01)

The system and method for improving memorization skills using learning cards according to the embodiment may expose the learning cards to the user by recommending the difficulty level of the learning card created by the user and adjusting the frequency of issuance of the learning card according to the recommended difficulty level.

In addition, in the embodiment, the user's learning card acquisition degree can be calculated according to the elapsed learning time, and the learning card difficulty level can be recommended based on the calculated acquisition degree.

In addition, in the embodiment, the user's learning card is classified into an untested card and a review card, so that the probability of questioning varies depending on the type of learning card, and the difficulty of the learning card is set more accurately according to the user's learning ability and the learning effect desired by the user. make it possible

The memorization improvement system using a learning card according to the embodiment selects learning data from original data including images, texts, and sounds, converts the selected learning data into blanks and icons including special symbols, and converts the learning card into a learning card. Learning card generation module for generating; A first question module for learning a user by creating an initial learning session that outputs a plurality of created learning cards; A measurement module for measuring the degree of learning of each learning card by measuring the learning elapsed time, which is the time from when the learning card is presented until the user clicks the correct answer check; a difficulty calculation module that classifies the generated learning cards into unanswered cards and review cards, and recommends the difficulty level of the learning cards according to the type of the classified learning cards and the measured elapsed learning time; and a second setting module for generating a learning session by adjusting the frequency of setting the learning card according to the level of difficulty of the set learning card. includes

A method of improving memorization using a learning card according to another embodiment is (A) selecting learning data from original data including images, texts, and sounds in a learning card generation module, and selecting the selected learning data as blanks and special symbols. Generating a learning card by converting to an icon containing a; (B) generating an initial learning session outputting the plurality of learning cards generated in the first questioning module and learning the user; (C) measuring the degree of learning of each learning card of the user by measuring the learning elapsed time, which is the time from when the learning card is presented in the measurement module until the user clicks the correct answer check; (D) classifying the learning cards generated by the difficulty calculation module into non-submission cards and review cards, and recommending the difficulty level of the learning cards according to the type of the classified learning cards and the measured elapsed learning time; and (E) generating a learning session by adjusting the frequency of setting the learning card according to the difficulty level of the learning card set in the second setting module. includes

The memorization improvement system using the learning card as described above recommends the difficulty of the learning card according to the type of learning card and the user's learning content proficiency level, and provides the user with an efficient learning card exposure method, thereby maximizing the improvement of the user's memorization ability. can

In addition, in the embodiment, various learning card difficulty recommendation methods are provided according to the user's learning ability and the learning content included in the learning card, so that the user can memorize the learning card more perfectly.

In addition, in the embodiment, memorization can be efficiently performed according to the user's learning ability and the type of learning card by accurately calculating the user's learning card acquisition information. In addition, in the embodiment, memorization ability can be improved by optimizing the user's learning ability by accurately measuring the learning card proficiency level of each user to measure the elapsed learning time and using this for recommending the learning card difficulty level.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the detailed description of the present invention or the configuration of the invention described in the claims.

1 is a diagram showing a data processing configuration of a memorization improvement system using a learning card according to an embodiment
2 and 3 are views showing a learning card according to an embodiment
4 is a learning card related to a mathematical problem according to an embodiment
5 is a formula for calculating the probability of a learning card according to an embodiment
6 and 7 are a learning card difficulty recommendation condition table according to an embodiment
8 is a diagram showing a data processing process of a method for improving memorization ability using a learning card according to an embodiment

Advantages and features of the present invention, and methods for achieving them, will become clear with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs It is provided to fully inform the holder of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals designate like elements throughout the specification.

In describing the embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. In addition, terms to be described below are terms defined in consideration of functions in the embodiments of the present invention, which may vary according to the intention or custom of a user or operator. Therefore, the definition should be made based on the contents throughout this specification.

1 is a diagram showing a data processing configuration of a system for improving memorization skills using a learning card according to an embodiment.

Referring to FIG. 1, the system for improving memorization using a learning card according to an embodiment includes a learning card generating module 100, a first questioning module 200, a measurement module 300, a difficulty calculation module 400, and a second questioning module. It may be configured to include (500). The term 'module' used in this specification should be interpreted as including software, hardware, or a combination thereof, depending on the context in which the term is used. For example, the software may be machine language, firmware, embedded code, and application software. As another example, the hardware may be a circuit, processor, computer, integrated circuit, integrated circuit core, sensor, micro-electro-mechanical system (MEMS), passive device, or combination thereof.

The learning card generation module 100 selects learning data from original data including images, texts, and sounds, and converts the selected learning data into icons including blanks and special symbols to generate learning cards. . For example, when the user accesses the memorization improvement system, loads an image containing learning content to be memorized, and designates a content area to be learned, the learning card generating module 100 converts the designated content area into a blank space or special symbol. By processing the content so that it is not visible to the user, it is possible to create a learning card.

2 and 3 are views showing a learning card according to an embodiment. Referring to (a) of FIG. 2 , Chinese characters, which are learning contents to be learned by the user, are processed and output on the learning card, and the user recalls the learning contents by looking at hints of the learning contents to be memorized. If the user clicks after thinking about learning content, as shown in FIG. In the embodiment, as shown in (c) of FIG. 2, the difficulty level of the learning card may be classified as difficult, normal, easy, etc., and may be further subdivided from level 1 to level n according to user settings. In the embodiment shown in (c) of FIG. 2, the difficulty level of the learning card is recommended as normal, and when the user selects the difficulty level of the learning card as normal, the difficulty level of the learning card is set. As shown in Figure 3, the learning card according to the embodiment can be created in various forms such as subjective type (a), multiple choice type (b), reversal card type (c).

The first question module 200 creates an initial learning session for outputting a plurality of generated learning cards, and learns the user. In the embodiment, a plurality of generated learning cards may be output one by one so that the user learns. The user checks the learning card, thinks of the correct answer, and clicks a button or icon when the correct answer comes to mind. When the click is confirmed, the learning content is output on the learning card and the user checks the answer. When the user confirms the answer, the next learning card is output, and in the embodiment, a learning session may be created by repeating the output of the learning card. In the embodiment, the initial learning session is the first learning session performed by the user, and is provided to the user for initial setting of difficulty and measurement of elapsed learning time after class card creation.

In addition, the learning session may be created with the set number of learning cards or learning time when the user sets the number of learning cards to be tested or the learning time. For example, the user may set the learning card to be output 100 times or to continuously output the learning card for 1 hour. In the embodiment, the initial learning session may be set to output 10 learning cards, and the user may adjust the time when the next learning card appears after the correct answer is output on the learning card.

The measurement module 300 calculates the learning degree of each learning card of the user by measuring the elapsed learning time, which is the time from when the learning card is presented until the user clicks the correct answer check. For example, the measurement module 300 calculates the acquisition degree of the corresponding learning content as the learning elapsed time becomes longer. In addition, in the embodiment, the measurement module 300 may calculate the average elapsed learning time according to the type of learning content included in the learning card, and calculate the degree of learning by comparing the average elapsed learning time with the measured elapsed learning time. .

The difficulty calculation module 400 classifies the generated learning cards into unanswered cards and review cards, and calculates the difficulty of the learning cards according to the type of the classified learning cards and the measured elapsed learning time. For example, the difficulty calculation module 400 sets the highest level of difficulty for unanswered cards, and adjusts the level of difficulty of the corresponding card downward as the number of problems increases. That is, the difficulty level of a review card with a high review frequency is set to be relatively low. In addition, the difficulty level of the corresponding learning card is increased in proportion to the elapsed learning time for the learning card. In addition, the difficulty calculation module 400 may recommend a preset level of difficulty for the learning card when a previously given learning card is presented again.

In the embodiment, the difficulty of the learning card is important information for calculating the possibility of the next question corresponding to review. In the embodiment, the difficulty level of each learning card is automatically and accurately recommended, and the user himself adjusts the possibility of learning the learning card so that the learning card can be efficiently learned. For example, in the case of the learning card related to the mathematical problem shown in FIG. 4, the user solves the mathematical problem included in the learning card and directly sets the difficulty level, and the difficulty setting of the learning card according to the user's learning ability, which varies depending on the learning content make it possible to do

The second question module 500 creates a learning session by adjusting the question frequency of the learning card according to the set level of difficulty of the learning card. For example, the second question module 500 increases the number of questions for learning cards in proportion to the difficulty of learning cards. That is, the higher the difficulty of the learning card, the more questions are set so that the user learns the learning content included in the corresponding learning card several times. In addition, the second question module 500 improves the question probability of unanswered cards in proportion to the difficulty of the selected study session. For example, when the user sets the difficulty level of the learning session high, the second questioning module 500 increases the frequency of questioning unanswered cards so that the user can intensively learn learning content that has not been completely memorized.

Hereinafter, various embodiments of adjusting the difficulty level of the learning card in the memorization improvement system using the learning card according to the embodiment will be described.

In the embodiment, for the user's complete learning, the non-subject card is given priority over the review card, and since the review card is a learning card with learning experience, the corresponding learning card is presented according to the selected difficulty (easy, normal, difficult, etc.) specify the probability. In the embodiment, the difficulty calculation module 400 may set more various difficulty divisions according to user settings. For example, it is classified into very easy, easy, normal, difficult, and very difficult, or it is possible to adjust the level of difficulty from level 1 to level n. 5 is a diagram showing an embodiment for calculating the probability of setting a learning card. Referring to FIG. 5, in the embodiment, the probability of questioning for each learning card can be calculated by setting weights according to the type of learning card and dividing the weight of each learning card by the total weight of the generated learning cards. Through this, it is possible to frequently ask questions when the learning card is difficult, and to lower the frequency when the learning card is easy. Specifically, when the generated learning card includes 5 unissued cards, 5 cards of hard difficulty, 5 cards of normal difficulty, and 5 cards of easy difficulty, the probability of the learning card being presented is shown in FIG. According to the question probability formula, an unpublished card may be presented with a probability of 86.2%, a card of difficult difficulty may be presented with a probability of 8.6%, a card of normal difficulty may be presented with a probability of 4.3%, and a card of easy difficulty may be presented with a probability of 0.85%.

In addition, in the embodiment, the difficulty level of the learning card may be recommended according to the elapsed learning time, which is the time from outputting the card to outputting the correct answer. For example, after each learning card is presented, a difficulty change interval value may be set for the measured elapsed learning time, the set difficulty change interval value and the measured elapsed learning time may be compared, and the difficulty of the learning card may be set according to the comparison result. 6 is a diagram showing an embodiment of recommending the difficulty level of a learning card according to the elapsed learning time. Referring to FIG. 6, in the embodiment, a random number (eg, 10) of learning cards may be output, the average of the elapsed learning time may be calculated, and the difficulty level set according to the elapsed learning time for each learning card may be recommended to the learning card. there is. For example, if the average elapsed time for learning the first 10 learning cards is 10 seconds, it is possible to recommend the difficulty level of the learning card from the output of the 11th learning card. As shown in FIG. 6, in the embodiment, the learning card difficulty level is recommended according to the set interval value (eg, 3 seconds) of the learning elapsed time for each difficulty level. Specifically, if the average learning elapsed time is 10 seconds and the interval value for difficulty recommendation is 3 seconds, easy difficulty is recommended if the learning elapsed time is less than 7 seconds, and normal difficulty if the learning elapsed time is 7 seconds or more and 13 seconds or less. is recommended, and if it exceeds 13, the difficulty level may be recommended for the corresponding learning card. In the embodiment, in order to subdivide the difficulty, the interval value in which the difficulty is changed may be set shorter, such as 1 second, 1.5 seconds, 2 seconds, and the like.

In addition, in the embodiment, the difficulty level of the learning card may be recommended according to the previous difficulty level. In the embodiment, when a previously studied card is presented again, the difficulty of the presented learning card is recommended as the difficulty of the previously selected learning card. In addition, the difficulty to be set the most in the learning card can be recommended as the difficulty of the learning card presented. For example, if the learning card difficulty is set to normal, normal, and easy in the three studies selected before, the difficulty of the presented learning card may be set to normal.

In addition, in the embodiment, the difficulty level of the presented learning card may be recommended according to the elapsed learning time and past difficulty level selection. 7 is a table showing conditions for recommending the learning card difficulty level according to the previous difficulty level. Referring to FIG. 7 , for example, the average value of the elapsed learning time is calculated, and when a card learned before is given again, the difficulty of the learning card set in the previous question can be set in consideration of the average value of the elapsed learning time. As shown in FIG. 7, in the embodiment, if the elapsed learning time of the learning card presented is less than 0.7 times the average elapsed learning time, a difficulty level that is easier than the difficulty of the set learning card is recommended, and the elapsed learning time is the average learning time. If the elapsed time is more than 0.7 times one hour and less than 1.3 times the time, the existing difficulty set in the learning card is recommended. In addition, if the elapsed learning time exceeds 1.3 times the average elapsed learning time, a difficulty level higher than the previous setting of the learning card is recommended. In the embodiment, when the average elapsed learning time of the first 10 learning cards is measured, difficulty setting may be performed after the 11th learning card. Specifically, if the average elapsed learning time is 10 seconds, the difficulty selected immediately before is normal, and the elapsed learning time of the currently presented learning card is 15 seconds, the difficulty is recommended as the difficulty of the learning card presented, and the average elapsed learning time is 10 seconds If the difficulty selected immediately before is normal and the current card learning elapsed time is 3 seconds, then easy is recommended as the difficulty of the currently presented learning card. In addition, when a previously studied card is presented again, the most selected difficulty among recently selected difficulties may be recommended. That is, in the embodiment, a difficulty change interval value is set in the elapsed learning time measured in each learning card, and the set difficulty change interval value is compared with the measured elapsed learning time. After that, according to the comparison result, it is possible to recommend that the difficulty level of the learning card be changed to one level more difficult or one level easier from the previously set level of difficulty.

In addition, in the embodiment, the difficulty of the presented learning card may be recommended as the difficulty most selected by all learners. In addition, a number of learners may recommend the most selected difficulty level for a specific learning card. In addition, in the embodiment, the difficulty level of the learning card presented according to the elapsed learning time may be automatically set.

Hereinafter, a memorization improvement method using a learning card will be described in turn. Since the operation (function) of the natural language processing method for identifying counterfeit products according to the embodiment is essentially the same as the function of the counterfeit product detection system, overlapping descriptions with those of FIGS. 1 to 7 will be omitted.

8 is a diagram showing a data processing process of a method for improving memorization ability using a learning card according to an embodiment.

Referring to FIG. 8, in step S100, the learning card generation module selects learning data from original data including images, texts, and sounds, and converts the selected learning data into blanks and icons including special symbols. Create learning cards. In step S200, the first questioning module creates an initial learning session that outputs a plurality of generated learning cards to educate the user.

In step S300, the measurement module measures the learning degree of each learning card by measuring the elapsed learning time, which is the time from when the learning card is presented until the user clicks the correct answer check.

In step S400, the learning cards generated by the difficulty calculation module are classified into unanswered cards and review cards, and the difficulty level of the learning cards is recommended according to the type of the classified learning cards and the measured elapsed learning time. In the embodiment, when a learning card that has been previously tested in step S400 is challenged again, a predetermined level of difficulty is recommended for the learning card. In addition, in step S400, the difficulty level of the learning card may be recommended in proportion to the measured elapsed learning time.

In step S500, a learning session is created by adjusting the frequency of learning cards according to the difficulty level of the learning cards set in the second questioning module. In the embodiment, in step S500, the number of questions of the learning card is increased in proportion to the difficulty of the learning card calculated by the difficulty calculation module. In addition, the probability of presenting unanswered cards is improved in proportion to the difficulty of the learning session selected by the user.

The memorization improvement system and method using the learning card as described above recommends the difficulty of the learning card according to the type of learning card and the user's learning content proficiency level, and provides the user with an efficient learning card exposure method, thereby improving the user's memorization ability. can be maximized.

In addition, in the embodiment, various learning card difficulty recommendation methods are provided according to the user's learning ability and the learning content included in the learning card, so that the user can memorize the learning card more perfectly.

In addition, in the embodiment, memorization can be efficiently performed according to the user's learning ability and the type of learning card by accurately calculating the user's learning card acquisition information. In addition, in the embodiment, memorization ability can be improved by optimizing the user's learning ability by accurately measuring the learning card proficiency level of each user to measure the elapsed learning time and using this to recommend the learning card difficulty level.

The disclosed content is only an example, and can be variously modified and implemented by those skilled in the art without departing from the subject matter of the claim claimed in the claims, so the protection scope of the disclosed content is limited to the specific It is not limited to the examples.

Claims (10)

In the memorization improvement system using a learning card,
A learning card creation module that selects learning data from original data including images, texts, and sounds, and converts the selected learning data into blanks and icons including special symbols to generate learning cards;
A first question module for learning the user by generating an initial learning session that outputs the generated plurality of learning cards;
A measurement module for measuring the degree of learning of each learning card by measuring the learning elapsed time, which is the time from when the learning card is presented until the user clicks the correct answer check;
a difficulty calculation module that classifies the generated learning cards into unanswered cards and review cards, and recommends the difficulty level of the learning cards according to the type of the classified learning cards and the measured elapsed learning time; and
A second setting module for generating a learning session by adjusting the frequency of setting the learning card according to the difficulty level of the set learning card; Memorization improvement system using a learning card comprising a.
The method of claim 1, wherein the second questioning module; silver
A system for improving memorization ability using a learning card, characterized in that the number of questions of the learning card is increased in proportion to the difficulty of the learning card calculated by the difficulty calculation module.
The method of claim 1, wherein the second question module; silver
A system for improving memorization skills using learning cards, characterized in that for improving the probability of an unanswered card being presented in proportion to the difficulty of the learning session selected by the user.
The method of claim 1, further comprising: the difficulty calculation module; silver
A system for improving memorization ability using a learning card, characterized in that for recommending a predetermined level of difficulty to the learning card when a previously presented learning card is reissued.
The method of claim 1, further comprising: the difficulty calculation module; silver
A memorization improvement system using a learning card, characterized in that the difficulty of the learning card is recommended in proportion to the measured learning elapsed time.
The method of claim 1, wherein the learning session; silver
A memorization improvement system using learning cards, characterized in that set to the number of learning cards presented or the learning time.

In the memorization improvement method using the learning card,
(A) Selecting learning data from original data including images, texts, and sounds in the learning card generation module, and converting the selected learning data into blanks and icons including special symbols to generate learning cards. ;
(B) generating an initial learning session outputting the plurality of learning cards generated in the first questioning module and learning the user;
(C) measuring the degree of learning of each learning card of the user by measuring the learning elapsed time, which is the time from when the learning card is presented in the measurement module until the user clicks the correct answer check;
(D) classifying the learning cards generated by the difficulty calculation module into non-submission cards and review cards, and recommending the difficulty level of the learning cards according to the type of the classified learning cards and the measured elapsed learning time; and
(E) creating a learning session by adjusting the frequency of setting the learning card according to the level of difficulty of the learning card set in the second setting module; Memorization improvement method using a learning card comprising a.
The method of claim 7, wherein the step of (E); Is
A memorization improvement method using a learning card, characterized in that the number of questions of the learning card is increased in proportion to the difficulty of the learning card calculated by the difficulty calculation module.
The method of claim 7, wherein the step of (E); Is
A method for improving memorization ability using a learning card, characterized in that the probability of an unanswered card being presented is improved in proportion to the difficulty of the learning session selected by the user.
The method of claim 7, wherein the step of (D); Is
A method for improving memorization ability using a learning card, characterized in that when a learning card that has been previously presented is presented again, a predetermined level of difficulty is recommended for the learning card, and the level of difficulty of the learning card is recommended in proportion to the measured learning elapsed time.

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