KR102360797B1 - Apparatus and system for providing online education service - Google Patents

Abstract

An objective of the present invention is to provide an apparatus and a system for providing an online education service which can improve the learning ability of a user through personalized problem solutions matching the level of a user by using an online education platform. According to one embodiment of the present invention, the apparatus for providing an online education service allows a user to connect thereto through a user terminal and comprises: a problem data providing unit configured to transmit problem data corresponding to a problem data request to the user terminal when the problem data request is received from the user terminal; a timer unit configured to measure elapsed time until a correct answer to the problem data is inputted from the user terminal; a hint providing unit configured to provide one or more among a plurality of preset hints for the problem data for the user terminal in accordance with a prescribed rule based on the elapsed time measured by the timer unit and whether an answer inputted from the user terminal is incorrect; and a learning result storage unit configured to store the elapsed time, whether the answer is incorrect, and whether the hints are provided as learning results for the provided problem data.

Description

Device and system for providing online education service {APPARATUS AND SYSTEM FOR PROVIDING ONLINE EDUCATION SERVICE}

The present invention relates to an apparatus for providing an online education service, and more particularly, to an apparatus and system for providing an online education service for providing online lectures and online problem solving.

The online education service is provided by storing the lectures of the instructors recruited by the education service provider as video files, and students who want to take the course receive training by accessing the website or by downloading the video file through the installation of a specific program. have.

Therefore, the conventional education service simply has a one-sided class format in which students learn while watching a video file, so it is difficult to increase the class satisfaction of the students because they cannot ask questions about the parts they do not understand or are curious about. There was a problem that was difficult to improve.

In order to increase students' class satisfaction, a customized online education system and method have been developed to open a course suitable for the student by applying for a course to be opened with the instructor, subject, lecture method, etc. desired by the student (Patent Document 1).

However, Patent Document 1 can open a lecture desired by the student to increase the student's class satisfaction, but there is a problem in that there is a limit in improving the learning ability by providing problem solving in consideration of the student's level.

Korean Patent Publication No. 10-2020-0134993 (2020.12.02)

The present invention has been devised to solve the above problems, and provides an online education service providing apparatus and system that can improve a user's learning ability by using an online education platform to solve a problem tailored to the user's level aim to do

Other objects and advantages of the present invention may be understood by the following description, and will become more clearly understood by the examples of the present invention. In addition, it will be readily apparent that the objects and advantages of the present invention can be realized by means and combinations thereof indicated in the claims.

The online education service providing apparatus according to an aspect of the present invention is a device accessible to a user through a user terminal, and when receiving a question material request from the user terminal, transmits the question material corresponding to the question material request to the user terminal a problem data provider configured to; a timer unit configured to measure an elapsed time from the user terminal until a correct answer to the question data is input; A hint providing unit configured to provide one or more of a plurality of hints preset for the problem material to the user terminal according to a predetermined rule based on the elapsed time measured by the timer unit and whether an incorrect answer is input from the user terminal ; and a learning result storage unit configured to store at least one of the elapsed time, the incorrect answer, and whether the hint is provided as a learning result for the provided question material.

The hint providing unit may be configured to store one or more hints having a pre-set degree of relevance to the solution of the problem material, and sequentially provide hints with a lower degree of relevance according to the predetermined rule.

The hint providing unit, based on a result of comparing the elapsed time with a plurality of preset time sections or whether an incorrect answer to the question material is input from the user terminal, may be configured to sequentially provide a hint with a low degree of relevance have.

The plurality of time sections may be set according to a difficulty preset for the problem data, and a hint corresponding to at least one of the plurality of time sections may be configured in advance.

The plurality of time sections may be configured such that the length of each section decreases as time elapses.

The hint providing unit may be configured to provide a hint set to correspond to a time section to which the elapsed time belongs among the plurality of time sections to the user terminal.

The hint providing unit may be configured to provide, to the user terminal, a hint set to correspond to a time section to which the elapsed time belongs among the plurality of time sections when the wrong answer is input from the user terminal.

The problem data providing unit stores a plurality of problem data for each of a plurality of units classified in advance, and when a test request from the user terminal is input, one or more problem data in each of the plurality of units based on the learning result may be configured to select, generate test data including a plurality of selected problem data, and provide the generated test data to the user terminal.

The problem data providing unit may be configured to set a weight for each of the plurality of units based on the learning result, and to determine the number of problem materials selected from each of the plurality of units based on the set weight.

The problem data providing unit sets a difficulty level for each of the plurality of problem data stored in each of the plurality of units in advance and corresponds to a weight value set for a corresponding unit among the plurality of problem data included in each of the plurality of units It can be configured to select problem material with difficulty.

The problem data providing unit may be configured to select problem data having the difficulty corresponding to the set weight by the determined number of problem data.

The learning result storage unit may be configured to store a learning result for the problem data for each accessed user, and to provide statistical information about the problem data based on the stored learning result.

The learning result storage unit may be configured to provide the learning result stored for the problem material when a request for the learning result is input from the user terminal.

The learning result storage unit may be configured to accumulate and store a plurality of learning results for the problem data when a request for the same problem data is input from the user terminal.

The apparatus for providing an online education service according to another aspect of the present invention may further include a video lecture providing unit configured to provide a video stored in advance to the user terminal in response to the lecture request when a lecture request is input from the user terminal. .

The problem data providing unit may be configured to provide, to the user terminal, problem data set in advance to correspond to the moving picture when the reproduction of the moving picture is finished in the user terminal.

An online education service providing system according to another aspect of the present invention may include a user terminal and an online education service providing apparatus.

The system for providing an online education service according to another aspect of the present invention may further include an image photographing device capable of capturing an image and configured to output the captured image in real time.

The online education service providing apparatus may be configured to transmit the image received from the image capturing apparatus to the user terminal in real time when a request for a real-time lecture is input from the user terminal.

According to one aspect of the present invention, since problem data suitable for the user's learning level is provided, there is an advantage in that the user's learning ability can be effectively improved.

In addition, according to one aspect of the present invention, since hints for problem data are provided to correspond to the user's learning level in the user's problem solving process, there is an advantage in that it can arouse the user's interest in problem solving.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

The following drawings attached to the present specification serve to further understand the technical idea of the present invention together with the detailed description of the present invention, so the present invention should not be construed as limited only to the matters described in such drawings.
1 is a diagram schematically illustrating an apparatus for providing an online education service according to an embodiment of the present invention.
2 is a diagram illustrating a schematic operation configuration of an apparatus for providing an online education service according to an embodiment of the present invention.
3 is a diagram schematically illustrating a plurality of time sections according to an embodiment of the present invention.
4 is a diagram schematically illustrating an online education service providing system according to another embodiment of the present invention.
5 is a diagram illustrating a schematic operation configuration of an online education service providing system according to another embodiment of the present invention.

The terms or words used in the present specification and claims should not be construed as being limited to their ordinary or dictionary meanings, and the inventor may properly define the concept of the term in order to best describe his invention. Based on the principle that there is, it should be interpreted as meaning and concept consistent with the technical idea of the present invention.

Accordingly, the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention and do not represent all the technical spirit of the present invention, so at the time of the present application, various It should be understood that there may be equivalents and variations.

In addition, in the description of the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

Terms including an ordinal number such as 1st, 2nd, etc. are used for the purpose of distinguishing any one of various components from the others, and are not used to limit the components by such terms.

Throughout the specification, when a part "includes" a certain element, it means that other elements may be further included, rather than excluding other elements, unless specifically stated otherwise.

In addition, throughout the specification, when a part is "connected" with another part, it is not only "directly connected" but also "indirectly connected" with another element interposed therebetween. include

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

1 is a diagram schematically illustrating an apparatus 100 for providing an online education service according to an embodiment of the present invention. 2 is a diagram illustrating a schematic operation configuration of an apparatus 100 for providing an online education service according to an embodiment of the present invention.

The online education service providing apparatus 100 may be configured to be accessible to the user terminal 200 . That is, the online education service providing apparatus 100 is configured to be able to communicate with the user terminal 200 , and the user may access the online education service providing apparatus 100 through a pre-allocated user ID (Identification).

For example, the user ID may be divided into a student ID to which a student can be assigned and a parent ID to which a parent can be assigned. Students and parents can access the online education service providing apparatus 100 by inputting their IDs into the user terminal 200 , respectively.

Referring to FIG. 1 , the online education service providing apparatus 100 may include a problem data providing unit 110 , a timer unit 120 , a hint providing unit 130 , and a learning result storage unit 140 .

Preferably, the problem data providing unit 110 , the hint providing unit 130 , and the learning result storage unit 140 are connected to communicate with the user terminal 200 , or the user terminal 200 through a communication unit (not shown). can communicate with Hereinafter, for convenience of explanation, each of the problem data providing unit 110 , the hint providing unit 130 , and the learning result storage unit 140 will be described as being directly connected to the user terminal 200 .

The problem data providing unit 110 may be configured to transmit the problem data corresponding to the problem data request to the user terminal 200 upon receiving the problem data request from the user terminal 200 .

Here, the problem data means a problem that the user can solve by himself, and the user can request problem data by selecting at least one of a plurality of units provided. Alternatively, the user may request problem data randomly selected by the problem data providing unit 110 without selecting a unit in order to test the learning ability.

The timer unit 120 may be configured to measure the elapsed time from the user terminal 200 until the correct answer to the problem data is input.

For example, in the embodiment of FIG. 2 , the timer unit 120 inputs the correct answer to the corresponding problem data from the user terminal 200 after the problem data providing unit 110 transmits the problem data to the user terminal 200 . It is possible to measure the elapsed time until

Preferably, the timer unit 120 takes into account the communication time and communication delay time required to transmit the problem data from the problem data providing unit 110 to the user terminal 200, from the time when the problem data is transmitted. It is possible to measure the elapsed time from when the time elapses until the correct answer is entered. In this process, the timer unit 120 may calculate the time required to transmit the problem data by considering the communication state between the problem data providing unit 110 and the user terminal 200 .

The hint providing unit 130 provides one or more of a plurality of hints preset for the problem material according to a predetermined rule based on the elapsed time measured by the timer unit 120 and whether an incorrect answer is input from the user terminal 200 . It may be configured to be provided to the user terminal 200 .

Specifically, the hint providing unit 130 may be configured to store one or more hints having a preset degree of relevance to the solution of the problem material.

For example, in the embodiment of FIG. 2 , it is assumed that the hint providing unit 130 stores four hints for one problem material. Each hint may be preset so that the degree of relevance with the answer does not overlap from 1 to 4.

In addition, the hint providing unit 130 may be configured to sequentially provide a hint having a low degree of relevance according to a predetermined rule.

For example, in the previous embodiment, when a predetermined rule is satisfied based on the elapsed time and whether or not an incorrect answer is given, the hint providing unit 130 may first transmit a hint having the degree of association set to 1 to the user terminal 200 . Even after that, if the predetermined rule is satisfied, the hint providing unit 130 may transmit a hint in which the degree of association is set to 2 to the user terminal 200 .

Details of a predetermined rule considered for transmitting a hint from the hint providing unit 130 to the user terminal 200 will be described later.

The learning result storage unit 140 may be configured to store at least one of an elapsed time for each user, whether an incorrect answer is received, and whether a hint is provided as a learning result for the provided question material.

Specifically, the learning result storage unit 140 may store the learning result for each problem material for the corresponding user. These learning results may include information about the elapsed time it takes for a correct answer to be input, whether an incorrect answer indicating incorrect information information entered until the correct answer is entered, and whether a hint indicating the number of hints provided until the correct answer is input. have. That is, the learning result storage unit 140 may store a history of a process in which the user solves the corresponding problem material.

For example, in the embodiment of FIG. 2 , the learning result storage unit 140 may end problem solving for the problem data when an answer to the problem data is input from the user terminal 200 . In addition, the learning result storage unit 140 may store the learning result including the elapsed time for the corresponding question material, whether an incorrect answer is given, and whether or not a hint is provided.

The online education service providing apparatus 100 according to an embodiment of the present invention provides a hint corresponding to the user's learning level in the process of the user solving the problem material, thereby inducing the user's interest in learning and effectively improving the learning ability. There are benefits that can be improved.

In addition, the online education service providing apparatus 100 has an advantage in that it can store comprehensive information about the user's learning ability improvement process by storing a history in the process of solving the problem data by the user.

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Hereinafter, a process in which an appropriate hint corresponding to the user is provided by the hint providing unit 130 will be described.

Hint providing unit 130, based on the result of comparing the elapsed time and a plurality of preset time sections or whether an incorrect answer to the problem data is input from the user terminal 200 can be

Specifically, the plurality of time sections may be configured to be set according to the difficulty level preset for the problem data, and a hint corresponding to at least one of the plurality of time sections may be configured to be set in advance.

3 is a diagram schematically illustrating a plurality of time sections according to an embodiment of the present invention.

For example, in the embodiment of FIG. 3 , in consideration of the difficulty of the problem data, the first time period R1 , the second time period R2 , the third time period R3 , the fourth time period R4 and the fifth A time period R5 may be set. The first time interval R1 is a time interval from time t0, which is the start time of problem solving, to time t1, and the second time interval R2 is a time interval from time t1 to time t2. The third time interval R3 is a time interval from time t2 to time t3, and the fourth time interval R4 is a time interval from time t3 to time t4. The fifth time interval R5 is a time interval from the time t4 to the time t5, which is the time when the problem solving is finished. That is, in the embodiment of FIG. 3 , the problem solving for the problem data is terminated when the time t5 arrives, and the correct answer may be provided to the user.

Preferably, in the embodiment of FIG. 3 , a corresponding hint may not be set in the first time period R1 . That is, by not providing a hint from the time point t0 when the user starts to solve the problem to the predetermined time point t1, the user can be induced to solve the problem for the problem data. In addition, one or more hints corresponding to each of the second time period R2, the third time period R3, the fourth time period R4, and the fifth time period R5 may be set.

In addition, the hint providing unit 130 may be configured to provide a hint set to correspond to a time section to which the elapsed time belongs among a plurality of time sections to the user terminal 200 .

For example, in the embodiment of FIG. 3 , it is assumed that the elapsed time measured by the timer unit 120 is T, and the current time is a time tt that has elapsed by time T from time t0. The hint providing unit 130 may provide the user with a hint set for the second time period R2 when the user's problem solving time arrives at time t1. In addition, when the user's problem solving time arrives at time t2, the hint providing unit 130 may provide the user with a hint set for the third time period R3. That is, in the current situation, the user may be provided with two hints set for the second time period R2 and the third time period R3.

In addition, when an incorrect answer is input from the user terminal 200, the hint providing unit 130 may be configured to provide a hint set to correspond to a time section to which the elapsed time belongs among a plurality of time sections to the user terminal 200. have.

For example, in the embodiment of FIG. 3 , since the user's problem solving time has elapsed at time t2, the user may be in a state in which two hints are provided. And, when the user inputs an incorrect answer at time tt, the hint providing unit 130 may additionally provide another hint set in the second time period R2 to the user.

That is, when the user's elapsed time (ie, problem-solving time) is long or the answer input by the user is an incorrect answer, the hint providing unit 130 provides a hint corresponding to the current time section, so that the user It can help you come up with the answer to the problem data. Through this process, the user can not only derive an answer to the problem data, but also recognize the delay in the process of solving the problem data. Accordingly, not only the user's ability to learn the problem data is improved, but also the solving time of the problem data can be shortened.

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Specifically, the plurality of time sections may be configured such that the length of each section decreases as time elapses.

3 , time in the order of a first time interval R1 , a second time interval R2 , a third time interval R3 , a fourth time interval R4 , and a fifth time interval R5 The length of the section may be gradually reduced. That is, the length of the first time period R1 may be the largest and the length of the fifth time period R5 may be the shortest.

For example, in the order of the first time interval R1, the second time interval R2, the third time interval R3, the fourth time interval R4, and the fifth time interval R5, the lengths of the time intervals are equal It can be reduced according to the sequence. In the embodiment of FIG. 3 , it is assumed that the total size of the time interval from time t0 to time t5 is 150 seconds. In this case, the length of the first time period R1 may be 50 seconds, the length of the second time period R2 may be 40 seconds, and the length of the third time period R3 may be 30 seconds. In addition, the length of the fourth time period R4 may be 20 seconds, and the length of the fifth time period R5 may be 10 seconds.

As another example, in the order of the first time interval R1, the second time interval R2, the third time interval R3, the fourth time interval R4, and the fifth time interval R5, the length of the time interval is It can be reduced to correspond to the Fibonacci sequence. As in the previous embodiment, in the embodiment of FIG. 3 , it is assumed that the total size of the time interval from time t0 to time t5 is 150 seconds. In this case, the Fibonacci sequence for the five time intervals may be determined as 1, 2, 3, 5, and 8. Note that, in the Fibonacci sequence, an initial value of 1 is excluded in order to set different lengths of time sections. If 150 seconds is divided into specific gravity according to the Fibonacci sequence, the length of the first time interval (R1) is 63.2 seconds corresponding to 8 of the Fibonacci sequence, and the length of the second time interval (R2) is corresponding to 5 of the Fibonacci sequence 39.5 seconds, and the length of the third time period R3 may be 23.7 seconds corresponding to 3 of the Fibonacci sequence. The length of the fourth time interval R4 may be 15.8 seconds corresponding to 2 of the Fibonacci sequence, and the length of the fifth time interval R5 may be 7.9 seconds corresponding to 1 of the Fibonacci sequence.

In this way, since each section length for a plurality of time sections is set to be different from each other, the user can roughly recognize the end time of problem solving according to the number of hints provided. That is, by recognizing that there is not much time left to solve the problem for the corresponding problem data based on the number of hints provided, the user can focus more on deriving the correct answer for the problem data.

The online education service providing apparatus 100 may prevent the user's concentration from being disturbed in the problem solving process by differently setting a plurality of time sections set for the problem material. In addition, the online education service providing apparatus 100 may help the user to derive the correct answer to the problem material without giving up by gradually reducing the hint providing time.

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The problem data providing unit 110 may be configured to store a plurality of problem data for each of a plurality of units classified in advance.

For example, the problem data providing unit 110 may store 50 problem data for each of the 20 pre-classified units. In this case, a total of 1000 problem data may be stored in the problem data providing unit 110 .

When a test request from the user terminal 200 is input, the question data providing unit 110 may be configured to select one or more question materials from each of a plurality of units based on a learning result corresponding to the user.

For example, as in the previous embodiment, it is assumed that the plurality of units are classified into 20 units. The problem data providing unit 110 may first check the learning result corresponding to the user. If the learning result corresponding to the user is not stored, the problem data providing unit 110 may select the same number of problem data from each of the 20 units. Contrary to this, when the learning result corresponding to the user is stored, the problem data providing unit 110 may determine the user's weak unit based on the stored learning result. In addition, a larger number of problem data can be selected from the determined weak unit than other units.

That is, the problem data providing unit 110 is configured to set a weight for each of the plurality of units based on the learning result corresponding to the user, and to determine the number of problem data selected from each of the plurality of units based on the set weight. can be Here, the weight is a value further added to the weak unit, and may be set based on the elapsed time included in the learning result, whether an incorrect answer is given, and whether or not a hint is provided.

For example, the same weight may be initially set to each of a plurality of units. Thereafter, when the learning results for the user are accumulated, weights set in the plurality of units may be different from each other based on the accumulated learning results. In this case, as for the problem data selected by the problem data providing unit 110 , the weight of the unit with high weight (the vulnerable unit of the user) may gradually increase.

More specifically, the problem data providing unit 110 may determine the number of problem data selected for each unit based on Equation 1 below.

[Equation 1]

Here, Q _i is the number of questions selected in unit i, and ST is the total number of question materials included in the test data. n is the total number of units, and α _i is the weight for unit i.

Specifically, when the learning result for the user is not stored, the weight α _i for each unit may be set to be the same. For example, the initial weight α _i may be set to 1. Therefore, initially, the number of problem data selected in each unit may be the same.

On the other hand, when the learning result for the user is stored, the weight α _i may be set based on Equation 2 below.

[Equation 2]

Here, T _i is a value corresponding to the total elapsed time for the problem data belonging to unit i, WA _i is a value corresponding to whether or not an incorrect answer is given to the problem data belonging to unit i, and H _i is the value corresponding to the problem data belonging to unit i A value corresponding to whether or not a hint is provided. For example, Ti may be a value corresponding to the average elapsed time for problem data belonging to unit _i . WA _i may be a value corresponding to the average number of incorrect answers for question data belonging to unit i. Also, H _i may be the average number of hints provided for problem data belonging to unit i.

Also, x, b, and c are transform coefficients for T _i , WA _i , and H _i , respectively, and may be a value set such that the weight α _i satisfies Equation 3 below. For example, x is a variable for converting the elapsed time T _i to correspond to the weight α _i , and may be a positive integer less than or equal to 1 and may be expressed in the form of a reciprocal number with respect to time. b and c are variables for converting the incorrect answer WA _i and whether the hint is provided H _i to correspond to the weight α _i , respectively, and may be a positive integer of 1 or less.

That is, based on Equation 2, the problem data providing unit 110 increases the weight for a unit that has a relatively long elapsed time, a relatively large number of incorrect answers, and a relatively large number of hints, thereby increasing the test data. can increase the proportion of problem data included in the corresponding unit.

[Equation 3]

Here, n is the total number of units and is the same as n in Equation 1. That is, the sum of the weights (α _i ) for each unit may be equal to the total number of units (n). Accordingly, the transform coefficients (x, y, z) in Equation 2 may be applied to satisfy the correspondence between the total number n of units in Equation 3 and the weight α _i .

In addition, the problem data providing unit 110 may be configured to generate test data including a plurality of selected problem data, and provide the generated test data to the user terminal 200 .

For example, the problem data providing unit 110 selects one or more problem data for each unit using Equation 1, Equation 2, and Equation 3, and generates test data including a plurality of selected problem data for the user It may be provided to the terminal 200 .

The online education service providing apparatus 100 has the advantage of providing user-customized test data based on the learning results stored for each user. In particular, since the test data provided to the user includes a plurality of problem data selected in consideration of the user's weak unit, there is an advantage in that the user's learning ability for the subject can be more efficiently improved.

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Meanwhile, the problem data providing unit 110 may be configured to preset the difficulty level for each of the plurality of problem data stored in each of the plurality of units.

Here, the difficulty level for each problem material is initially set in advance, but the problem data providing unit 110 may change it based on the learning results of a plurality of users. For example, the difficulty level for the problem data may be set to any one of steps 1 to 10.

For example, based on the learning results stored for a plurality of users, when the elapsed time for any one problem data is relatively long, the error rate is relatively high, and the number of hints provided is relatively large, the problem data providing unit ( 110) can increase the level of difficulty set for the corresponding problem material.

As another example, when the elapsed time for any one problem material is relatively short, the error rate is relatively low, and the number of hints provided is relatively small, the problem data providing unit 110 sets the level of difficulty set for the corresponding problem data. steps can be reduced.

That is, the problem data providing unit 110 may adjust the difficulty of individual problem data according to the elapsed time required for a plurality of users to solve the problem, the incorrect answer rate, and the number of hints provided.

The problem data providing unit 110 may be configured to select problem data having a difficulty corresponding to a weight set for the corresponding unit from among a plurality of problem data included in each of the plurality of units.

Here, the weight is added to the user's weak unit, and the difficulty level may be increased for more difficult problem materials based on the learning results of a plurality of users, and decreased for easy problems. Therefore, the problem data providing unit 110 is set for the unit to which a low weight is added to the user (the unit in which the elapsed time the user takes to solve the problem is relatively short, the correct rate is high, and the number of hints provided is small). You can select problem materials with relatively high difficulty. Conversely, the problem data providing unit 110 is set for a unit with a high weight for the user (a unit with a relatively long elapsed time for a user to solve a problem, a high error rate, and a large number of hints) You can choose problem materials with relatively low difficulty.

That is, the online education service providing apparatus 100 has the advantage of being able to more efficiently and adaptively improve the user's learning ability by configuring the test material to be suitable for the user's learning level.

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In addition, the problem data providing unit 110 may be configured to select as many problem data as the determined number of problem data has a difficulty corresponding to the set weight.

For example, in the process of composing the test data, the problem data providing unit 110 increases the proportion of problem data included in a unit having a set weight among a plurality of units higher than the weight set in other units, but the difficulty is relatively low. You can select the set problem data. Conversely, the problem data providing unit 110 may reduce the weight of the problem data included in the unit having a lower weight than the weight set in the other unit among the plurality of units, but select problem data having a relatively high difficulty.

In other words, although the test data provided to the user is included in the user's weak unit, the proportion of relatively low difficulty problem data is large, so the user can learn intensively about the weak unit by contacting more problem data about the weak unit can be done

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On the other hand, the learning result storage unit 140 may be configured to store the learning result for the problem material for each connected user. In addition, the learning result storage unit 140 may be configured to provide statistical information about the problem data based on the stored learning result.

For example, the learning result storage unit 140 may provide statistical information on the average elapsed time, the average incorrect answer rate, and the average number of hints for each problem data, based on the learning results stored for each user. Through such statistical information, the user can estimate the level of his or her learning ability among a plurality of users.

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In addition, when a request for a learning result is input from the user terminal 200 , the learning result storage unit 140 may be configured to provide the learning result stored for the problem material.

As described above, the user ID may be divided into a student ID and a parent ID. In addition, the student ID and the parent ID may be linked with each other. For example, in a household, a parent ID assigned to a parent and a student ID assigned to a child may be linked with each other. Accordingly, the parent can access the online education service providing apparatus 100 with his/her ID and receive the learning result stored for the student ID. Therefore, parents can check their child's current learning ability through objective statistical data and can check information about vulnerable units. Of course, as a student accesses the online education service providing apparatus 100 with his/her ID and receives learning results and statistical data, he/she may relatively evaluate his/her learning level with other students.

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In addition, when a request for the same problem data is input from the user terminal 200 , the learning result storage unit 140 may be configured to accumulate and store a plurality of learning results for the problem data.

For example, it is assumed that the first learning result for question A is stored in advance at the first time point. When a request for question material A is input at the second time point and a second learning result for question material A is generated, the learning result storage unit 140 stores the first learning result and second learning result with respect to question material A can be stored cumulatively.

In this case, the learning result storage unit 140 can help the user to easily check whether the learning level for the question A has improved by generating statistical data of two learning results for the material A. .

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In the online education service providing apparatus 100 according to an embodiment of the present invention, when a lecture request is input from the user terminal 200 , a video lecture configured to provide a video stored in advance to the user terminal 200 in response to the lecture request. It may further include a providing unit 150 .

In addition, the problem data providing unit 110 may be configured to provide preset problem data to the user terminal 200 so as to correspond to the moving picture when the playback of the moving image is finished in the user terminal 200 .

That is, when the video lecture requested by the user ends, the problem data providing unit 110 provides the user with problem data related to the video lecture, so that the user can deeply understand the content of the lecture and apply it to problem solving. can make it

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4 is a diagram schematically illustrating an online education service providing system 10 according to another embodiment of the present invention.

Referring to FIG. 4 , an online education service providing system 10 according to another embodiment of the present invention may include a user terminal 200 and an online education service providing apparatus 100 .

For example, in the embodiment of FIG. 4 , the apparatus 100 for providing an online education service may be connected to a plurality of user terminals 200 . The first user terminal 200a, the second user terminal 200b, and the third user terminal 200c are respectively connected to the online education service providing apparatus 100, and each user provides problem materials and/or video lectures. receive and learn.

Also, referring to FIG. 4 , the online education service providing system 10 may further include an image capturing apparatus 300 configured to enable image capturing and output the captured image in real time.

And, when a request for a real-time lecture is input from the user terminal 200, the online education service providing apparatus 100 is configured to transmit the image received from the image capturing apparatus 300 to the user terminal 200 in real time. can

5 is a diagram illustrating a schematic operation configuration of an online education service providing system 10 according to another embodiment of the present invention.

For example, in the embodiment of FIG. 5 , when receiving a real-time lecture request from the user terminal 200 , the online education service providing apparatus 100 may transmit a real-time lecture request to the image capturing apparatus 300 . The image capturing apparatus 300 may photograph a lecture image after preparation for a lecture is completed, and may transmit the captured lecture image to the online education service providing apparatus 100 in real time. The online education service providing apparatus 100 may transmit an image received in real time to the user terminal 200 . In this process, the online education service providing apparatus 100 stores the image received from the image capturing apparatus 300 in real time, so that the user can re-view the corresponding video lecture in the future.

The online education service providing system 10 according to another embodiment of the present invention may select and provide problem material suitable for a user's learning level, and may provide a real-time lecture video.

In addition, the online education service providing system 10 may improve the learning efficiency of the user by providing a web page and/or an application platform that the user can query while watching the lecture video.

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In the above, although the present invention has been described with reference to limited embodiments and drawings, the present invention is not limited thereto and will be described below with the technical idea of the present invention by those of ordinary skill in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalents of the claims.

In addition, since the present invention described above is capable of various substitutions, modifications and changes within the scope that does not depart from the technical spirit of the present invention for those of ordinary skill in the art to which the present invention pertains, the above-described embodiments and attachments It is not limited by the illustrated drawings, and all or part of each embodiment may be selectively combined and configured so that various modifications may be made.

10: Online education service provision system
100: online education service providing device
110: problem data providing unit 120: timer unit
130: hint providing unit 140: learning result storage unit
150: video lecture providing unit 200: user terminal
300: video recording device

Claims (5)

In the online education service providing device accessible by a user through a user terminal,
a problem data providing unit configured to, when receiving a problem data request from the user terminal, transmit problem data corresponding to the problem data request to the user terminal;
a timer unit configured to measure an elapsed time until a correct answer to the question data is input from the user terminal;
A hint agent configured to provide one or more of a plurality of hints preset for the problem material to the user terminal according to a predetermined rule based on the elapsed time measured by the timer unit and whether an incorrect answer is input from the user terminal study; and
a learning result storage unit configured to store at least one of the elapsed time, the incorrect answer, and whether the hint is provided as a learning result for the provided question material; including,
The hint providing unit:
Storing one or more hints in which the degree of relevance to the solution of the problem data is set in advance,
According to the predetermined rule, the hint is provided sequentially from the low-relevance hint,
Based on a result of comparing the elapsed time with a plurality of preset time sections or whether an incorrect answer to the question material is input from the user terminal, it is set to sequentially provide a hint with a low degree of relevance,
The plurality of time sections are set according to a preset difficulty level for the problem data, and a hint corresponding to at least one of the plurality of time sections is set in advance,
The hint providing unit:
providing a hint set to correspond to a time section to which the elapsed time belongs among the plurality of time sections to the user terminal;
When the wrong answer is input from the user terminal, a hint set to correspond to a time section to which the elapsed time belongs among the plurality of time sections is provided to the user terminal,
The problem data provider is:
Storing a plurality of problem data for each of a plurality of pre-classified units,
When the test request is input from the user terminal, select one or more problem materials from each of the plurality of units based on the learning results,
generating test data including the selected one or more problem data;
providing the generated test data to the user terminal;
Determine and set a weight for each of the plurality of units based on Equation 1 based on the learning result,
Determine the number of problem data selected from each of the plurality of units based on the set weight based on Equation 2,
Set the difficulty level for each of the plurality of problem data stored in each of the plurality of units in advance,
is configured to select problem data having the difficulty corresponding to the weight set for the corresponding unit from among the plurality of problem data included in each of the plurality of units,
[Equation 1]

α _i is the weight for unit i, T _i is a value corresponding to the average elapsed time for problem data belonging to unit i, WA _i is a value corresponding to the average number of incorrect answers for problem data belonging to unit i, H _i is a value corresponding to the average number of hints provided for the problem material belonging to unit i, and each of x, b and c is a value corresponding to a transform coefficient for T _i , WA _i and H _i ,
[Equation 2]

Q _i is the number of questions selected from unit i, ST is the total number of question materials included in the test data, n is the total number of units,
The problem data providing unit selects the problem data having the difficulty corresponding to the set weight by the number of the determined problem data,
The learning result storage unit:
Storing the learning results for the problem data for each connected user,
Provides statistical information about the problem data based on the stored learning results,
When the request for the learning result is input from the user terminal, providing the learning result stored for the problem material,
The learning result storage unit, when a request for the same problem data is input from the user terminal, the online education service providing apparatus, characterized in that configured to accumulate and store a plurality of learning results for the problem data.
delete delete delete The method of claim 1,
The plurality of time sections, the online education service providing apparatus, characterized in that the length of each section is configured to decrease as time elapses.

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