KR102382036B1 - Apparatus of providing problem for online learning using crawlign and machine learning algorithm - Google Patents

Abstract

According to one embodiment of the present invention, an apparatus for providing a problem for online learning by using crawling and a machine learning algorithm, which is for providing a customized problem to a user, includes: a user information reception unit for receiving user information including name, current school, grade, age, and grade record information of a user from a user terminal used by the user; a word extraction unit for crawling dictionary data on a web to extract an English word and a meaning of the word from the dictionary data; a problem generation unit that collects a synonym of the extracted English word by using web search result data, and creates a problem by merging the extracted English word, the meaning of the word, and the extracted synonym; a problem providing unit for providing a set time to the created problem and providing the set time to the user terminal; a result information generation unit for receiving an answer to the problem and a problem solving time provided from the user terminal, analyzing the answer and a correct answer, and generating result information including information on an error rate and an average problem solving time of each of problems; and a difficulty classification information generation unit for generating difficulty classification information in which difficulty of each problem is classified according to a grade based on data included in the result information.

Description

A device for providing problems for online learning using crawling and machine learning algorithms

The present invention relates to an apparatus for providing problems for online learning using crawling and machine learning algorithms, and more particularly, to providing users with customized problems by using crawling and machine learning algorithms and providing appropriate compensation for them, so that students learn efficiently It relates to a problem providing device for online learning using crawling and machine learning algorithms to improve ability and actively participate in problem solving.

With the spread of smartphones and tablet PCs, students are provided with an environment where they can solve problems online through these terminals.

In general, in applications that provide problems online, administrators uniformly store learning problems, and after a certain period of time, the problems are updated and provided to students.

However, this existing method does not provide a customized learning problem according to the individual student's condition, and the student has no choice but to solve the same problem until a new problem is updated, so there is a problem that the interest in learning is gradually reduced.

In this specification, crawling and machine learning that compensates for these shortcomings, provides a customized problem that considers the current state of each student, and provides an appropriate reward for correcting the correct answer to encourage students to actively participate in problem solving I would like to explain a problem providing device for online learning using an algorithm.

[Prior literature]

Published Patent 10-2013-0050677

The present invention relates to an apparatus for providing problems for online learning using crawling and machine learning algorithms, and more particularly, to providing users with customized problems by using crawling and machine learning algorithms and providing appropriate compensation for them, so that students learn efficiently It relates to a problem providing device for online learning using crawling and machine learning algorithms to improve ability and actively participate in problem solving.

In the problem providing apparatus for online learning using crawling and machine learning algorithms that provide customized problems to users according to an embodiment of the present invention, the user's name, current school, grade, and age are obtained from the user terminal used by the user. , a user information receiver that receives user information including grade information, a word extractor that crawls dictionary data on the web and extracts English words and their meanings from the dictionary data, and English extracted using web search result data A problem generating unit that collects synonyms of words and generates a problem by merging the extracted English words, meanings of words, and extracted synonyms, a problem providing unit that gives a set time to the generated problems and provides them to the user terminal, the above A result information generating unit that receives the answer and the problem solving time of the problem provided from the user terminal, and analyzes the answer and the correct answer to generate result information including information on the incorrect answer rate and average problem solving time of each of the problems, and the Based on the data included in the result information, including a difficulty classification information generating unit for generating difficulty classification information that classifies the difficulty for each problem according to the grade, wherein the problem providing unit is based on the difficulty classification information and the user information to create a problem group suitable for the user's learning level, and provide the problem included in the problem group to the user terminal.

In the problem providing apparatus for online learning using crawling and machine learning algorithms according to an embodiment of the present invention, if the answer to the provided problem received from the user terminal is the correct answer, reward points are provided in proportion to the difficulty of the problem. Further comprising a compensation point providing unit provided to the user terminal, wherein the difficulty classification information generating unit gives a first weight in proportion to the incorrect answer rate of the problems based on the data included in the result information, and in proportion to the problem solving time A second weight is given to generate difficulty classification information for problems, the first weight is greater than the second weight, and the affiliated product can be purchased online through the reward point.

An apparatus for providing problems for online learning using crawling and machine learning algorithms according to an embodiment of the present invention includes a grade information receiver for receiving student grade information from a school server operated by an affiliated school, and a user included in the user information A grade information extraction unit that extracts the user's grade information based on the school, grade, and age of the user, and a request signal requesting consent to provide problems to users using the extracted grade information is sent to the user terminal A request signal transmitter to transmit to, a consent signal receiver for receiving a consent signal stating consent to providing a problem by using the grade information extracted in response to the request signal from the user terminal, and when the consent signal is received It further includes a grade information storage unit for storing the extracted grade information in the user's grade information in the user information.

An apparatus for providing problems for online learning using crawling and machine learning algorithms according to an embodiment of the present invention is provided from the school server to the publishers of textbooks corresponding to the previous questions and answers by quarters, grades, and subjects for a set period. Further comprising a previous question information receiving unit for receiving the previous question information including information about, the question providing unit on the basis of the user information and the previous question information, when a set period arrives, the user's school belonging to the set period , schools that have adopted textbooks from the same publisher as the user's school, and past questions matching the user's grade are randomly selected and provided to the user's terminal.

An apparatus for providing problems for online learning using crawling and machine learning algorithms according to an embodiment of the present invention receives range information including the contents of the test range for each subject for the test scheduled to be conducted within a set period from the school server. A range information receiving unit, a core keyword information receiving unit for receiving core keyword information including information on core keywords constituting the contents of textbooks from a publisher server operated by the publisher, and an incorrect answer to the previous question provided by the user terminal A word constituting the problem is extracted from the incorrect answer question collected by the wrong answer question collection unit that matches and collects the . A core keyword extraction unit that extracts core keywords from within, and the data on the web as learning data, extracts the same or similar words as the core keywords extracted through a machine learning algorithm, and extracts from the previous questions included in the previous question information Further comprising a supplementary question transmitter that selects a previous question containing the same or similar words as a supplementary question and transmits it to the user terminal; Selects the same previously submitted problem first and transmits it to the user terminal.

The problem providing apparatus for online learning using crawling and machine learning algorithms according to an embodiment of the present invention includes a user problem solving information generating unit that generates user problem solving information that aggregates the user's correct answer to the provided problem and the problem solving time Further comprising, the grade information storage unit, based on the user problem solving information and the difficulty classification information, classify according to the user's learning level grade, generate learning level information, and store in the user information in the user's grade information do.

An apparatus for providing problems for online learning using crawling and machine learning algorithms according to an embodiment of the present invention aggregates the number of problems solved by each user and an incorrect answer rate for the problems solved during a set period, and is proportional to the number of problems solved by each user to calculate the first aggregation point, calculate the second aggregation point in inverse proportion to the incorrect answer rate, and classify the users in the order of the highest summation point summing the first and second counting points by school, grade, and subject Based on the ranking information and the ranking information transmitting unit that transmits one ranking information to the user terminal, after the set period is over, purchase products affiliated with the terminals of users who have acquired the sum of points higher than the preset rank for the set period It further includes an electronic coupon payment unit that pays an electronic coupon that can be used to pay the electronic coupon.

An apparatus for providing problems for online learning using crawling and machine learning algorithms according to an embodiment of the present invention provides users with the same grade and textbooks of the same publisher among users based on the user information and previous problem information. A competition group formation unit that forms a competition group randomly according to the set number of users by secondly extracting users with the same learning level grade stored in the user's grade information from among the users extracted first, and the formed competition group participates a notification signal transmitter that forms a virtual test space that can When more than this set number of users enter through the user terminal, it selects the number of past questions included in the previous question information at random and transmits it to the user terminal of the user who entered the test space. , the reward point providing unit calculates the test score of each user by checking the correct answer of the test when the users in the test space complete the previously selected questions within the set time, and the user terminal provides reward points, and the users of the formed competition group pay the set reward points to participate in the virtual test space through the user terminal, and the reward point providing unit collects the reward points accumulated due to users' participation in the virtual test space Differential provision is provided to the user terminals of users who have obtained scores above the set rank.

Through the problem providing device for online learning using the crawling and machine learning algorithm of the present invention, when the exam period arrives, the user can immediately solve the previous questions taken at his/her school in the past, as well as the textbooks used in his/her school You can prepare for the exam efficiently by solving previous problems of other schools that use textbooks from the same publisher as the publisher.

In addition to this, the level of learning can be further raised by being provided with several supplementary problems that contain similar content to the wrong problems among the solved problems.

Through the problem providing device for online learning using the crawling and machine learning algorithm of the present invention, the user pays reward points to form a group with users with a similar learning level to himself and takes a test for a given time with other users in the group By doing this, you can indirectly solve problems with your competitors with the feeling of a real test, so you can efficiently improve your learning ability. It can induce users to actively learn.

1 is a block diagram of a system for providing problems for online learning according to an embodiment of the present invention.
2 is a block diagram of an apparatus for providing problems for online learning using crawling and machine learning algorithms according to an embodiment of the present invention.
3 is a block diagram of a data receiver according to an embodiment of the present invention.
4 is a block diagram of a data transmission unit according to an embodiment of the present invention.
5 is a diagram illustrating an exemplary problem screen generated by the problem generating unit of the present invention.
6 is a diagram exemplarily illustrating a method of utilizing a reward point in the present invention.
7 is a diagram illustrating a state in which users are classified according to ranking information in the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless specifically stated to the contrary. Thus, the present invention will be described in detail.

1 is a block diagram of a problem providing system 1000 for online learning according to an embodiment of the present invention.

Referring to FIG. 1 , a problem providing system 1000 according to an embodiment of the present invention includes a user terminal 100 , a school server 300 , a publisher server 500 , and crawling and a It may include a problem providing apparatus 200 for online learning using a machine learning algorithm.

The user terminal 100 may be a terminal used by students such as middle school students and high school students. The user may proceed with learning through the problem provided by the problem providing apparatus 200 through the user terminal 100 .

The user terminal 100 may be a smartphone. However, the present invention is not limited thereto, and the user terminal 100 may include an electronic device such as a general desktop computer, a navigation system, a notebook computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), or a tablet PC. An electronic device may have one or more general or special purpose processors, memory, storage, and/or networking components (wired or wireless).

The school server 300 is a server operated by the school in which the user attends, and may store student registration information and previous problems.

The publisher server 500 is a server operated by a publisher of textbooks used by students for learning, and the server may store information on key keywords of each subject in the textbook content according to the learning order of the textbook.

The device 200 for providing problems for online learning using crawling and machine learning algorithms receives data from the user terminal 100 , the school server 300 , and the publisher server 500 , and processes it to provide the user's information to the user terminal 100 . It can provide problems for learning. The problem providing apparatus 200 may be a server, and may be installed in the user terminal 100 and implemented in the form of an application. The problem providing apparatus 200 will be described in more detail with reference to FIG. 2 .

The communication method of the network 400 is not limited, and examples of the communication network that the network 400 may include include a mobile communication network, a wired online, a wireless online, and a communication method using a broadcasting network, as well as short-range wireless communication between devices. may be included. For example, the network 400 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , online, and the like.

2 is a block diagram of an apparatus 200 for providing problems for online learning using crawling and machine learning algorithms according to an embodiment of the present invention, and FIG. 3 is a block diagram of the data receiving unit 201 according to an embodiment of the present invention. 4 is a block diagram of the data transmission unit 202 according to an embodiment of the present invention, and FIG. 5 is a diagram exemplarily showing a problem screen generated by the problem generating unit 204 of the present invention. , FIG. 6 is a diagram exemplarily illustrating a method of utilizing reward points in the present invention, and FIG. 7 is a diagram exemplarily illustrating a state in which users are classified by ranking information in the present invention.

2 to 4, the problem providing apparatus 200 for online learning using crawling and machine learning algorithms includes a data receiving unit 201, a data transmitting unit 202, a word extracting unit 203, and a problem generating unit ( 204), a difficulty classification information generation unit 205, a grade information extraction unit 206, a core keyword extraction unit 207, a problem solving information generation unit 208, and a competition group formation unit 209 may be included. .

The data receiving unit 201 includes a user information receiving unit 211, a grade information receiving unit 212, a consent signal receiving unit 213, a previous question information receiving unit 214, a range information receiving unit 215, a core keyword information receiving unit 216, It may include an incorrect answer question collecting unit 217 .

The data transmission unit 202 includes a problem providing unit 221 , a reward point providing unit 222 , a request signal transmission unit 223 , a supplementary problem transmission unit 224 , a ranking information transmission unit 225 , and an electronic coupon payment unit. 226 , a notification signal transmission unit 227 , and a previous question transmission unit 228 may be included.

The user information receiving unit 211 may receive user information including the user's name, current school, grade, age, and grade information from the user terminal 100 . A user may input a school, grade, and age into an application installed in his/her terminal 100, which may be stored as user information. The grade information may be directly input by the user and stored, or data on the result after solving the problem provided to the user by the grade information storage unit to be described later and grade information on the test provided from the school server 300 may be stored. .

The word extraction unit 203 may crawl dictionary data on the web to extract English words and meanings of the corresponding words from the corresponding dictionary data. For example, the word extraction unit 203 may crawl data of a dictionary program provided from a portal site to extract an English word and a meaning of the word. Crawling refers to the act of taking a web page as it is and extracting data from it.

The problem generating unit 204 may generate a problem by collecting the extracted synonyms of the English word by using the web search result data, and merging the extracted English word, the meaning of the word, and the extracted synonym. The problem generating unit 204 uses data on the web as big data to extract a word having a similar meaning to the word extracted through crawling as described above, and configures it as an example question together with the correct word, as shown in FIG. can create problems.

The problem providing unit 221 may provide a set time to the problem generated by the problem generating unit 204 to the user terminal 100 . The user may solve the provided problem through the user terminal 100 .

The problem created in this way can be determined in difficulty through the following process.

The result information generating unit receives the answer and the problem solving time of the problem provided from the user terminal 100, and analyzes the answer and the correct answer to generate result information including information about the incorrect answer rate and average problem solving time of each of the problems. can

As the result information increases the sample as many users solve the problem, the incorrect answer rate and average problem solving time can become more sophisticated.

The reward point providing unit 222 may provide reward points when the user answers the provided question correctly. When the answer to the provided question received from the user terminal 100 is the correct answer, the reward point providing unit 222 may provide the reward point to the user terminal 100 in proportion to the difficulty of the corresponding question.

Through the reward points, as shown in FIG. 6 , the user can purchase a product affiliated with the application in which the problem providing device 200 is implemented. Accordingly, the rate of correct answers to the user's problems may increase and the user's learning ability may be improved.

The difficulty classification information generating unit 205 may generate the difficulty classification information in which the difficulty for each problem is classified according to the grade, based on the data included in the result information.

The difficulty classification information generating unit 205 assigns a first weight in proportion to the incorrect answer rate of the problems based on the data included in the result information, and assigns a second weight in proportion to the problem solving time to determine the difficulty level of the problems. Classification information can be generated. The first weight may be greater than the second weight because correcting the correct answer is more important than taking a long time to solve the problem.

The problem providing unit 221 may provide a problem suitable for the level of the user based on the user information and the difficulty classification information. The problem providing unit 221 may generate a problem group suitable for the learning level of the user based on the difficulty classification information and the user information, and provide the problem included in the problem group to the user terminal 100 .

In more detail, the user problem-solving information generating unit 208 may generate user problem-solving information that aggregates the user's correct answer to the provided problem and the problem-solving time, and the grade information storage unit includes user problem-solving information and Based on the difficulty classification information, it is possible to generate learning level information by dividing according to the user's learning level grade, and store it in the user information in the user's grade information.

Users can be provided with problems that fit their learning level in this way, and can improve their learning ability by continuously solving the problems provided.

The grade information receiver 212 may receive grade information of students from the school server 300 . As an example of the present invention, the grade information may be the grades of each subject of students' midterm and final exams.

The grade information extraction unit 206 may extract the grade information of the user based on the user's school, grade, and age included in the user information.

The request signal transmitting unit 223 may transmit a request signal requesting consent to the provision of problems to users by using the extracted sexual information to the user terminal 100, and the consent signal receiving unit 213 is the user It is possible to receive a consent signal stating consent to providing a problem by using the grade information extracted in response to the request signal from the terminal 100 .

The grade information storage unit may store the extracted grade information in the user information in the grade information of the user when a consent signal is received. The extracted grade information may be matched to each of the users and stored.

The previous question information receiving unit 214 may receive information about the previous question of the school to which the users belong from the school server 300 . The previous question information receiving unit 214 may receive the previous question information including information about the publisher of the textbook corresponding to the quarterly, grade, and subject by quarter, grade, and subject from the school server 300 for a set period. there is.

The problem providing unit 221, based on the user information and previous problem information, when the set period arrives, the user's school belonging to the set period, the school that adopted the textbook of the same publisher as the user's school, and the user's grade Matching previous questions may be randomly selected and provided to the user terminal 100 of the corresponding user.

The set period may be the test period of the midterm or final exam of the school the user is attending. For example, the set period may be a period of one month prior to the test date. The problem providing unit 221 can check the user's school and grade based on the user information, and based on this, randomly select past questions according to the current set period (for example, select 30 questions per subject) to the user terminal (100) can be provided.

As such, when the exam period arrives, users can not only solve the previous exam questions that were taken at their school in the past, but also solve the previous exam problems of other schools that use the same publisher's textbook as the textbook used in their school. This allows you to effectively prepare for the exam.

The range information receiving unit 215 may receive range information including the contents of the test range for each subject with respect to the test scheduled to be conducted within the set period from the school server 300 . The range information may be information about a page range of a textbook. For example, the range information may be information about a page range such as pages 00 to 00 of the subject A.

The core keyword information receiving unit 216 may receive core keyword information including information on core keywords constituting the contents of the textbook from the publisher server 500 . The core keyword information may be information that divides the topics of a textbook produced by a corresponding publisher for each page and matches key keywords for each topic to the corresponding topic.

The incorrect answer question collecting unit 217 may collect the question in which the answer is an incorrect answer to the previous question provided from the user terminal 100 by matching it with the corresponding user. The incorrect answer question collection unit 217 may collect the incorrect answer questions in real time when the user solves the previous questions.

The core keyword extraction unit 207 extracts words constituting the corresponding question from the incorrect answer questions collected by the incorrect answer question collection unit 217, and selects the core keywords from the extracted words based on the range information and the core keyword information. can be extracted.

The core keyword extraction unit 207 may use the web data as learning data, extract the words constituting each incorrect answer question collected through a machine learning algorithm, and the test range included in the range information within the extracted word You can extract key keywords that match.

The supplementary problem transmission unit 224 may select a supplementary problem based on the words and key keywords extracted by the core keyword extraction unit 207 and transmit it to the user terminal 100 . Specifically, the supplementary problem transmission unit 224 extracts the same or similar words as the core keywords extracted through the machine learning algorithm using the data on the web as learning data, and the same or similar extracted from the previous problems included in the previous problem information. A previously written problem including a word may be selected as a supplementary problem and transmitted to the user terminal 100 .

The supplementary question transmission unit 224 preferentially selects the same previously submitted question in the textbook and the publisher of the user's scheduled test based on the previous question information in the process of selecting the supplementary question, and in the previously selected question pool Previous questions including extracted identical or similar words can be selected as supplementary questions. In addition, in the process in which the supplementary problem transmission unit 224 preferentially selects the same previously submitted problem in the target textbook and the publisher, it may be considered in the range information, and previously submitted problems belonging to the range information may be preferentially selected.

In this way, users can not only improve their learning level by solving previous problems of the same schools by the publisher in preparation for the exam, but also receive and solve various supplementary problems including incorrect problems and similar contents among the solved problems. The level of learning can be further raised.

The ranking information transmitting unit 225 counts the number of problems solved by each user and the incorrect answer rate for the solved problems during the set period, calculates a first counting point in proportion to the number of problems solved by each user, and inversely proportional to the incorrect answer rate. 2 aggregation points may be calculated, and ranking information for classifying users in the order of the highest summation points obtained by summing the first and second aggregation points for each school, grade, and subject may be transmitted to the user terminal 100 . The setting period for aggregating the ranking information may be one month, and the method for calculating the aggregation points may be set by the administrator in various ways. The ranking information may be classified by subject and region as shown in FIG. 7 , and the ranking information is not limited thereto, and the ranking information may also be classified by other classification criteria such as grade and gender.

The electronic coupon payment unit 226, based on the ranking information, after the set period ends, provides an electronic coupon for purchasing products affiliated with the terminals of users who have acquired the sum of points higher than the preset rank for the set period. As the user can do it, the user makes an effort to solve many problems during the set period, and furthermore, the problem is solved more carefully to match the correct answer to the problems to be solved, as a result, it motivates users to learn and , it can improve the learning ability of users.

The competition group forming unit 209 may randomly form a competition group according to a set number of people based on the user information and the previous problem information. The competition group forming unit 209 first extracts users who are taking a test with textbooks of the same grade and publisher from among users based on user information and previous problem information, and the user's grades from among the first extracted users Users with the same learning level grade stored in the information can be extracted secondarily to form a random competition group according to the set number of people.

The notification signal transmitter 227 forms a virtual test space in which the formed competition group can participate, and transmits a notification signal notifying that the test space is formed to the user terminal 100 used by users belonging to the corresponding competition group. there is.

In response to the notification signal, the previous question transmission unit 228 randomly selects a set number of previously submitted questions included in the previous question information when the test space enters the test space through the user terminal 100 through the user terminal 100. It can be transmitted to the user terminal 100 of the user who entered the test space.

The user may enter the virtual test space by paying reward points through his/her user terminal 100 . Reward points can be obtained in the process of solving the provided problems described above.

In this way, the user enters the test space by paying the reward points, and the paid reward points can be provided to users who have obtained excellent grades by taking the test in the test space.

Specifically, the reward point providing unit 222 calculates the test score of each user by checking the correct answer of the test when the users in the test space complete the selected previous questions within the set time, and the user who has obtained a score higher than or equal to the set number of points Reward points may be provided to their user terminal 100 .

The reward point providing unit 222 may differentially provide the reward points collected due to the users' participation in the virtual test space to the user terminal 100 of users who have obtained a score equal to or greater than a set rank.

In this way, by paying reward points, users form a group with users who have a similar level of learning to themselves and conduct the test for a given period of time with other users in the group, indirectly creating problems with their competitors and the feeling of a real test. It is possible to improve one's own learning ability efficiently, and if you get an excellent score in an exam, you can acquire reward points accordingly, which can induce users to actively learn.

The above-described embodiments are for illustration, and those of ordinary skill in the art to which the above-described embodiments pertain can easily transform into other specific forms without changing the technical idea or essential features of the above-described embodiments. You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope to be protected through this specification is indicated by the claims described below rather than the detailed description, and should be construed to include all changes or modifications derived from the meaning and scope of the claims and their equivalents.

100: user terminal 202: data transmission unit
200: Providing problems for online learning Chapter 300: School server
201: data receiver 500: publisher server

Claims (8)

An apparatus for providing problems for online learning using crawling and machine learning algorithms that provide customized problems to users,
a user information receiving unit for receiving user information including the user's name, current school, grade, age, and grade information from the user terminal used by the user;
a word extraction unit that crawls dictionary data on the web and extracts English words and meanings of the corresponding words from the dictionary data;
a problem generating unit that collects synonyms of the extracted English words by using the web search result data, and generates a problem by merging the extracted English words, the meanings of the words, and the extracted synonyms;
a problem providing unit that gives a set time to the generated problem and provides it to the user terminal;
a result information generation unit that receives the answer and the time to solve the problem provided from the user terminal, and analyzes the answer and the correct answer to generate result information including information on the incorrect answer rate and average problem solving time of each of the problems;
a difficulty classification information generation unit for generating difficulty classification information in which difficulty for each problem is classified according to grades, based on the data included in the result information;
a reward point providing unit for providing reward points to the user terminal in proportion to the difficulty of the corresponding problem when the answer to the provided problem received from the user terminal is the correct answer;
A grade information receiving unit for receiving student grade information from a school server operated by an affiliated school;
a grade information extraction unit for extracting grade information of the user based on the user's school, grade, and age included in the user information;
a request signal transmitter for transmitting a request signal requesting consent to providing problems to users by using the extracted grade information to the user terminal;
a consent signal receiving unit for receiving a consent signal indicating consent to providing a problem by using the grade information extracted in response to the request signal from the user terminal;
a grade information storage unit for storing the extracted grade information in the user's grade information in the user information when the consent signal is received;
a previous question information receiving unit for receiving, from the school server, previously submitted question information including information about the publisher of textbooks corresponding to the quarterly, grade, and subject questions and correct answers for the set period;
a range information receiver configured to receive range information including information on a test range for each subject with respect to a test scheduled to be conducted within a set period from the school server;
a core keyword information receiving unit for receiving core keyword information including information on core keywords constituting contents of textbooks from a publishing company server operated by the publisher;
an incorrect answer question collecting unit that matches and collects a question in which an answer is an incorrect answer to the previous question provided from the user terminal;
a core keyword extraction unit for extracting words constituting the corresponding question from the incorrect answer questions collected by the incorrect answer question collection unit, and extracting core keywords from the extracted words based on the range information and the core keyword information;
Extracts the same or similar words to the core keyword extracted through a machine learning algorithm using the data on the web as learning data, and supplements the previous questions including the same or similar words extracted from the previous questions included in the previous question information a supplementary problem transmission unit for selecting and transmitting to the user terminal;
a user problem-solving information generation unit that generates user problem-solving information that aggregates the user's correct answer to the provided problem and the problem-solving time;
Based on the user information and previous problem information, users who are taking a test with textbooks of the same grade and the same publisher among users are first extracted, and the learning level grade stored in the user's grade information among the first extracted users is a competition group forming unit for forming a competition group randomly according to a set number of people by extracting the same user a second time;
a notification signal transmission unit that forms a virtual test space in which the formed competition group can participate, and transmits a notification signal notifying that the corresponding test space is formed to a user terminal used by users belonging to the corresponding competition group; and
In response to the notification signal, when more than a set number of users enter the test space through the user terminal, the user terminal of the user who enters the test space by randomly selecting the number of previously submitted questions included in the previously submitted question information Including a previous problem transmission unit that transmits to
The problem providing unit creates a problem group suitable for the learning level of the user based on the difficulty classification information and the user information, and provides the problem included in the problem group to the user terminal,
The reward point providing unit calculates the test score of each user by checking the correct answer of the test when the users in the test space complete the selected questions within the set time, and sends it to the user terminal of the users who have obtained a set score or higher. reward points,
Users of the formed competition group pay the set reward points to participate in the virtual test space through the user terminal, and the reward point providing unit is a user who has acquired more than a set number of reward points due to users' participation in the virtual test space A device for providing problems for online learning using crawling and machine learning algorithms, characterized in that they are differentially provided to their user terminals. According to claim 1,
The difficulty classification information generating unit assigns a first weight in proportion to the incorrect answer rate of the problems based on the data included in the result information, and assigns a second weight in proportion to the problem solving time to provide difficulty classification information for the problems create,
The first weight is greater than the second weight, and an apparatus for providing an online learning problem using a crawling and machine learning algorithm, characterized in that the affiliated product can be purchased online through the reward point. delete 3. The method of claim 2,
The problem providing unit, based on the user information and the previous problem information, when a set period arrives, the user's school belonging to the set period, the school that adopted the textbook of the same publisher as the user's school, and the user's grade A device for providing problems for online learning using crawling and machine learning algorithms, characterized in that randomly selected questions from previous entries are provided to the user terminal of the corresponding user. 5. The method of claim 4,
The supplementary question transmission unit provides online learning problems using crawling and machine learning algorithms, characterized in that the same previously submitted problems are selected by the textbook and the publisher of the scheduled exam based on the previously submitted question information and transmitted to the user terminal Device. 6. The method of claim 5,
The grade information storage unit, based on the user problem solving information and the difficulty classification information, classifies according to the user's learning level grade, generates learning level information, and stores it in the user's grade information in the user information A device for providing problems for online learning using crawling and machine learning algorithms. 7. The method of claim 6,
During the set period, the number of problems solved by each user and the rate of incorrect answers to the problems solved are counted, and the first counting point is calculated in proportion to the number of problems solved by each user, and the second counting point is calculated in inverse proportion to the incorrect answer rate, and the school , a ranking information transmission unit for transmitting the ranking information for classifying users in the order of the highest summation point summing the first and second aggregation points for each grade and subject to the user terminal; and
Based on the ranking information, after the set period ends, the electronic coupon payment that pays the electronic coupon to purchase the products affiliated with the terminals of users who have acquired the sum of points higher than the preset rank for the set period. A device for providing problems for online learning using crawling and machine learning algorithms that further include wealth.


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