WO2016186230A1 - Individually-tailored smart education method for self-evolutionary learning - Google Patents

Abstract

The present invention relates to an individually-tailored smart education method for self-evolutionary learning. An individually-tailored smart education method for self-evolutionary learning according to an embodiment of the present invention comprises the steps of: transmitting, by means of a service server, diagnosis problem information including at least one diagnosis problem through a transmitting/receiving unit to a user device; receiving, by means of the service server via the user device, first correct answer information on one selected from a plurality of examples for each of at least one diagnosis problem through the transmitting/receiving unit; extracting, by means of a wrong answer extracting unit of the service server, wrong answer problems for which wrong answers are selected from among at least one diagnosis problem by using the first correct answer information; extracting, by means of a concept code extracting unit of the service server, a concept code pre-allocated for an example selected from the extracted wrong answer problems, and generating first wrong answer code information including the extracted concept code; using, by means of a problem generating unit of the service server, the first wrong answer code information and a problem selecting algorithm pre-stored in a memory unit of the service server to extract at least one concept established problem corresponding to the concept code included in the first wrong answer code information from at least one basic problem stored in a memory unit, and generating first concept established problem information including at least one extracted concept established problem; and transmitting, by means of the problem generating unit through the transmitting/receiving unit, the first concept established problem information to the user device.

Description

Personalized, smart training methods for self-paced learning

The present invention relates to a personalized smart education method for self-complete learning. More specifically, the present invention transmits at least one concept establishment problem corresponding to the concept code pre-assigned to the view selected in the incorrect question to the user device, whereby the user using the user device is weak through the concept establishment problem. The present invention relates to a personalized smart education method for self-completed learning that can allow a user to learn a concept and select a concept-setting problem according to an incorrect answer selected by the user.

Learning through problem solving and achievement assessment through problem solving are the most commonly used learning methods for learners to acquire new knowledge and to diagnose acquired knowledge. Learning through problem solving and achievement assessment through problem solving are used to report the achievement of the learning process, to use it for retraining, or to check the effectiveness of the current learning process through the student's solving of the problem paper.

Recently, thanks to the expansion of network infrastructure, the spread of the Internet, the development of mobile communication technology and mobile communication terminals, modern people have free access to communication services, and thus, they can take lectures and problems anytime and anywhere through communication services. Internet lectures are provided to learners to conduct solutions.

In the Internet lecture, learners can select the contents they want to learn, and learners can select the difficulty level of the problem provided by each contents, so that they can learn more systematically.

However, there is a problem that it is difficult for a learner to recognize a concept used to solve a wrong problem by simply being provided with a predetermined problem through the Internet lecture and only the result thereof.

In addition, there is a problem that it is difficult to provide a problem suitable for the level of the learner only by the learner selecting the difficulty level of the problem provided through the Internet lecture.

In order to solve the above technical problem, the present invention allows the learner to identify and learn the concepts used to solve the wrong problem using the wrong problem, and to provide a self-completed learning that can provide a problem suitable for the level of the learner. It aims to provide a personalized smart education method for the purpose.

The object of the present invention is not limited to those mentioned above, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a personalized smart education method for self-completed learning, the service server transmitting diagnostic problem information including at least one diagnostic problem to a user device through a transceiver; Receiving, by the service server, first correct answer information about the selected one of the plurality of views for each of the at least one diagnosis problem from the user device through the transceiver; Extracting, by the wrong answer extracting unit of the service server, an incorrect question selected from the at least one diagnostic problem using the first correct answer information; Extracting a concept code pre-allocated to a selected view from an incorrect problem extracted by the concept code extracting unit of the service server, and generating first incorrect code information including the extracted concept code; The problem generating unit of the service server may generate at least one conceptual establishment problem corresponding to the concept code included in the first incorrect code information using a problem selection algorithm stored in advance in the first incorrect code information and the memory unit of the service server. Extracting from at least one basic problem stored in the memory unit and generating first concept establishment problem information including the extracted at least one concept establishment problem; And transmitting, by the problem generation unit, the first concept establishment problem information to the user device through a transceiver.

In addition, each of the at least one basic problem may include a plurality of views, and each of the plurality of views may be pre-allocated with a concept code and stored in advance in the memory unit.

The problem generating unit may extract a predetermined number of problems from the at least one basic problem stored in the memory unit as the at least one diagnostic problem, and extract the diagnostic problem information including the extracted at least one diagnostic problem information. Can be generated.

The method may further include: after generating the first incorrect code information, extracting, by the correct answer extracting unit, the correct answer selected from the at least one diagnostic problem using the first correct answer information; And extracting a concept code pre-allocated to the selected view from the correct answer problem extracted by the concept code extracting unit, and generating first correct answer code information including the extracted concept code.

In addition, the report generation unit of the service server generating the first report information using the first correct answer code information, the first incorrect code information and the extracted correct answer problem; And transmitting, by the report generation unit, the first report information to the user device through the transceiver.

The first report information may include at least one of score information on a score obtained by the user through the diagnosis problem information, strength concept information on a concept in which the user shows strength, and weakness concept information on a concept in which the user shows weakness. It may include.

The report generation unit may generate the strength concept information using a concept matched to a concept code included in the first correct answer code information, and use the concept matched to a concept code included in the first incorrect code information. The weakness concept information may be generated, and the score information may be generated by summing scores assigned to the extracted correct answer questions.

The first problem generating unit extracts a problem different from the at least one conception problem included in the at least one diagnosis problem and the first concept establishment problem information from the at least one basic problem stored in the memory unit, and the first problem. It can be further included in conception problem information.

In addition, after the transmitting of the first concept establishment problem information, the service server may transmit the first concept establishment problem information to the at least one concept establishment problem included in the first concept establishment problem information through the transceiver. The method may further include receiving correct answer information from the user device.

The method may further include extracting, by the wrong answer extracting unit, a wrong answer selected from at least one conceptual establishment problem included in the first concept establishment problem information using the second correct answer information; Extracting a concept code pre-allocated to a selected view from an incorrect problem extracted by the concept code extracting unit, and generating second incorrect code information including the extracted concept code; The at least one basic problem stored in the memory unit at least one concept establishing problem corresponding to a concept code included in the second incorrect concept information using the second incorrect code information and the problem selection algorithm; Generating from the second concept establishment problem information including the extracted at least one concept establishment problem; And transmitting, by the problem generation unit, the second concept establishment problem information to the user device through a transceiver.

The problem generating unit may cause each of the at least one concept establishment problem included in the first concept establishment problem information and the at least one concept establishment problem included in the second concept establishment problem information to be different from each other.

In addition, after generating the second incorrect code information, the correct answer is selected from the correct answer extraction unit of the at least one concept establishment problem included in the first concept establishment problem information using the second correct answer information Extracting the problem; And extracting a concept code pre-allocated to a selected view from the correct answer problem extracted from the concept code extracting unit, and generating second correct answer code information including the extracted concept code.

In addition, the report generation unit of the service server generating the second report information using the second correct answer code information, the second incorrect code information and the extracted correct answer problem; And transmitting, by the report generation unit, the second report information to the user device through the transceiver.

The second report information may include at least one of score information on a score obtained by the user through the concept establishment problem information, strength concept information on a concept in which the user shows strength, and weakness concept information on a concept in which the user shows weakness. It may include one.

In addition, the problem generating unit may solve a problem different from the at least one diagnosis problem, at least one concept establishment problem included in the first concept establishment problem information, and at least one concept establishment problem included in the second concept establishment problem information. The at least one basic problem stored in the memory unit may be extracted and included in the second concept establishment problem information.

In addition, the personalized smart education method for self-completed learning according to an embodiment of the present invention can be recorded in a computer-readable recording medium.

According to the personalized smart education method for self-completed learning according to an embodiment of the present invention, at least one concept established by the service server corresponding to the concept code assigned to the view selected from the incorrect question through the incorrect code information and problem selection algorithm By transmitting the concept establishment problem information about the problem to the user device, the user can learn the concept to solve the wrong problem by solving the concept establishment problem received from the service server through the user device. In addition, in the personalized smart education method for self-completed learning according to an embodiment of the present invention, the service server establishes at least one concept corresponding to the concept code assigned to the view selected in the incorrect question through the incorrect code information and problem selection algorithm By presenting the problem to the user, the user can be provided with a problem appropriate for the user's level.

In addition, according to the personalized smart training method for self-completed learning according to an embodiment of the present invention, the service server to the user device a report containing the weakness concept information about the concept matching the concept code included in the incorrect code information By transmitting, the user using the user equipment can easily identify the weak concept.

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

1 is a view showing a system for performing a personalized smart education method for self-completed learning according to an embodiment of the present invention.

2 is a block diagram schematically illustrating a configuration of a device applicable to a service server of a personalized smart education method for self-completed learning according to an embodiment of the present invention.

3 is a flowchart illustrating a procedure of a personalized smart education method for self-completed learning according to an embodiment of the present invention.

4 is a diagram illustrating a first problem among at least one basic problem stored in a memory unit.

FIG. 5 is a diagram schematically showing an embodiment of a concept code assigned to the view shown in FIG. 4.

6 is a diagram illustrating a second problem among at least one basic problem stored in a memory unit.

[Description of the code]

110: service server

120: user device

The objects and effects of the present invention and the technical configurations for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. In describing the present invention, when it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. Terms to be described later are terms defined in consideration of functions in the present invention, and may be changed according to intentions or customs of users or operators.

However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various forms. The present embodiments are merely provided to complete the disclosure of the present invention and to fully inform the scope of the invention to those skilled in the art, and the present invention is defined by the scope of the claims. It will be. Therefore, the definition should be made based on the contents throughout the specification.

Throughout the specification, when a part is said to "include" or "include" a component, it means that it can further include other components, except to exclude other components unless otherwise stated. . In addition, the terms "... unit", "... unit" or "... module" described in the specification means a unit for processing at least one function or operation, which is hardware or software or hardware and It can be implemented in a combination of software.

On the other hand, in an embodiment of the present invention, each of the components, functional blocks or means may be composed of one or more sub-components, the electrical, electronic, mechanical functions performed by each component is an electronic circuit, It may be implemented by various known elements or mechanical elements such as an integrated circuit, an application specific integrated circuit (ASIC), or may be implemented separately, or two or more may be integrated into one.

Combinations of each block in the accompanying block diagram and in each step of the flowchart may also be performed by computer program instructions. These computer program instructions may be mounted on a processor of a general purpose computer, special purpose computer, portable notebook computer, network computer, mobile device such as a smart phone, online game service providing server or other programmable data processing equipment, thereby providing a computer device or other program. The instructions executed through the processor of the possible data processing equipment will generate a means for performing the functions described in each block of the block diagram or flow diagram described below. These computer program instructions may also be stored in a memory or computer readable memory available to a computer device capable of directing the computer device or other programmable data processing equipment to implement functionality in a particular manner, so that each block in the block diagram Alternatively, it is also possible to produce an article containing instruction means for performing the functions described in each step of the flowchart. Computer program instructions may also be mounted on a computer device or other programmable data processing equipment, thereby creating a process for performing a series of operational steps on the computer device or other programmable data processing equipment, so that each block and flowchart in the block diagram. It is also possible to provide steps for executing the functions described in each step of.

In addition, each block or step may represent a portion of a module, segment or code that includes one or more executable instructions for executing a specified logical function (s). It should also be noted that in some alternative embodiments, the functions noted in the blocks or steps may occur out of order. For example, the two blocks or steps shown in succession may in fact be executed substantially concurrently or the blocks or steps may sometimes be performed in the reverse order, depending on the functionality involved.

In the embodiment of the present invention, the term "terminal" means any calculation means capable of collecting, reading, processing, processing, storing, and displaying data such as a desktop computer, a notebook computer, a smartphone, a PDA, a mobile phone, and a game machine. . In particular, the terminal according to the embodiment of the present invention is a device capable of executing software written in decipherable code, and having a function of displaying and delivering the same to a user. In addition, if necessary, the software may be stored on its own or read with data from the outside.

In addition, the terminal in the embodiment of the present invention includes not only data processing functions as described above, but also functions such as input, output, and storage. For this purpose, a CPU, a main board, a graphics card, a hard disk, Various components such as sound card, speaker, keyboard, mouse, monitor, USB, communication modem, as well as CPU, motherboard, graphic chip, memory chip, sound engine, speaker, touch pad, USB, etc. An external connection terminal, a communication antenna, 3G, LTE, LTE-A, WiFi, may include a communication modem that can implement the communication, such as Bluetooth. These various elements may be singly or two or more together, or a portion of the various elements may be combined to implement one or more functions, and in an embodiment of the present invention an apparatus represented by one or more blocks or The parts may mean that various elements included in the terminal as described above may be used alone or two or more together, or a part of various elements may be combined to represent one or more functions.

On the other hand, in the embodiment of the present invention, the terminal may have a communication function, in order to implement the communication function, such as wired Internet, wireless Internet, infrared communication, Bluetooth, WCDMA, Wibro, WiFi, LTE, LTE-A, wired and wireless telephone network Various network means can be provided.

Hereinafter, with reference to the accompanying drawings for a personalized smart education method for self-complete learning according to an embodiment of the present invention will be described in detail. On the other hand, prior to explaining a personalized smart education method for self-complete learning according to an embodiment of the present invention, the concept to be described below is a learning unit of the minimum unit constituting a diagnostic problem or a concept establishment problem provided to the user Can be. For example, the concept may be the minimum unit of learning such as equations and inequalities, sequences, or triangle widths, but is not limited to the above examples. Each concept can be given a concept code. The concept code given to each concept may be formed by combining letters or numbers that may represent the concept, or may be formed by combining letters or numbers that may represent the learning process in which the concept appears. It is not limited. For example, the concept of equations and inequalities can be assigned a concept code formed of "C426", the concept of various sequences can be assigned a concept code formed of "C382", it is limited to the above examples no.

On the other hand, the basic problem to be described below is formed by including at least one concept, the higher the number of concepts included can be higher. It may also include a plurality of views. At least one of the plurality of views may be formed as a view for the correct answer and the remainder for the incorrect answer. In this case, the view of the incorrect answer may be formed as a view of the answer generated due to a simple calculation error and a view of the answer generated when the problem is solved without understanding a specific concept. The view of the answer that occurs when you do not understand a particular concept may be assigned a corresponding concept code, and the view of the answer that results from a simple miscalculation cannot be used to determine which concept you do not know. Dummy code may be allocated. At this time, the dummy code may be formed as "Dummy", but is not limited to the above example. In addition, the example of the correct answer may be assigned a concept code corresponding to all concepts included in the problem. In addition, the basic problem may be assigned a concept code corresponding to the concept included in the basic problem. That is, the concept code is assigned to the basic problem itself, and each of the plurality of views included in the basic problem may be allocated one of the concept code or the dummy code, and may be stored in advance in the memory of the service server to be described below.

1 is a view showing a system for performing a personalized smart education method for self-completed learning according to an embodiment of the present invention.

Referring to FIG. 1, a system for performing a personalized smart education method for self-completed learning according to an embodiment of the present invention may include a problem providing system 110 and a user device 120. The problem providing system 110 and the user device 120 may transmit and receive data and the like through a network.

The problem providing system 110 transmits diagnostic problem information to the user device 120, extracts a wrong answer problem using the correct answer information received from the user device 120, and extracts a wrong answer problem from the extracted problem problem using a problem selection algorithm. It may be a service server for transmitting a concept establishment problem corresponding to the concept code assigned to the selected view to the user device (120). Hereinafter, the problem providing system 110 will be described as a service server 110.

2 is a block diagram schematically illustrating a configuration of a device applicable to the service server 110 of the personalized smart education method for self-completed learning according to an embodiment of the present invention.

Referring to FIG. 2, the service server 110 may include a control unit 111, a memory unit 112, a transceiver unit 113, a display unit 114, and an interface unit 115.

The controller 111 may perform overall control of the service server 110. The control unit 111 may include a problem generating unit 111a. The problem generator 111a may generate diagnostic problem information by extracting at least one diagnostic problem from at least one basic problem stored in the memory 112. In addition, the problem generating unit 111a corresponds to the concept code included in the incorrect code information by using the incorrect code information generated from the incorrect sample extracting unit 111b and a problem selection algorithm stored in the memory 112 in advance. The concept establishment problem information may be generated by extracting at least one concept establishment problem from at least one mood problem stored in the memory unit 112. In addition, the problem generator 111a may control the diagnostic problem information or the concept establishment problem information to be transmitted to the user device 120 through the transceiver 113.

The controller 111 may include an incorrect answer extracting unit 111b. The incorrect answer extractor 111b uses the correct answer information received from the user device 120 to select an incorrect answer among at least one diagnostic problem included in the diagnostic problem information or at least one concept establishment problem included in the concept establishment problem information. Problems can be extracted.

The control unit 111 may include a correct answer extracting unit 111c. The correct answer extracting unit 111c uses the correct answer information received from the user device 120 to select an incorrect answer among at least one diagnosis problem included in the diagnosis problem information or at least one concept establishment problem included in the concept establishment problem information. Problems can be extracted.

The control unit 111 may include a concept code extracting unit 111d. The concept code extracting unit 111d may extract a concept code pre-allocated to the view selected from the incorrect question, and generate incorrect code information including the extracted concept code. In addition, the concept code extracting unit 111d may extract concept code pre-allocated to the selected view in the correct answer problem, and generate correct answer code information including the extracted concept code.

The control unit 111 may include a report generation unit 111e. The report generating unit 111e generates report information by using correct answer code information and incorrect code information generated from the concept code extracting unit 111d and correct answer problem extracted from the correct answer extracting unit 111c, and generates the generated report information. The user device 120 may transmit.

The memory unit 112 may be electrically connected to the control unit 111, and may store an operating system, an application, and at least one basic problem described above.

The transceiver 113 may be electrically connected to the controller 111, may transmit diagnostic problem information or concept establishment problem information to the user device 120, and receive correct answer information from the user device 120. .

The display unit 114 may be electrically connected to the control unit 111, may display various information, and may be implemented by a known liquid crystal display (LCD) or organic light emitting diode (OLED).

The interface unit 115 may be electrically connected to the control unit 111 and may be configured by combining a known input means such as a keyboard, a keypad, or a touch screen.

The user device 120 is a terminal used by a user who receives diagnostic problem information or concept establishment problem information received from the service server 110 and solves problems included in the diagnosis problem information or concept establishment problem information. Tablet PC or PC. In addition, the user device 120 may receive and display diagnostic problem information or concept establishment problem information from the service server 110, and one of a plurality of views for each problem included in the diagnosis problem information or concept establishment problem information may be displayed. All devices and terminals capable of generating correct answer information based on the selection and transmitting the correct answer information to the service server 110 may be possible.

Hereinafter, referring to FIG. 3 which is a flowchart showing a sequence of a personalized smart education method for self-completed learning according to an embodiment of the present invention, diagnostic problem information or concept establishment problem information is generated and generated in the service server 110. The method of transmitting the diagnosed problem information or the concept establishment problem information to the user device 120 will be described in detail.

First, the service server 110 transmits the diagnostic problem information to the user device 120 through the transceiver 113 (S110).

In this case, the control unit 111 of the service server 110 may request the member information from the user device 120. The controller 111 may determine whether the user device is a member using the member information transmitted from the user device. If the user device 120 is not a member subscribed to the service server 110, the controller 111 may request the user device 120 to register. If it is determined by the control unit 111 that the member registration is completed from the user device 120, the problem generating unit 111a may transmit diagnostic problem information to the user device 120.

Meanwhile, the service server 110 may receive problem selection information from the user device 120. The problem selection information may include at least one of grade information on a grade of a user who uses the user device 120 or level information on a level of a problem to be provided to the user, but is not limited to the above example. The problem generating unit 111a of the service server 110 may store at least one diagnostic problem corresponding to the grade or level of the user using the user device 120 using the grade information or the level information included in the member information. It can be extracted from at least one basic problem stored in 112). In this case, the memory 112 may be pre-stored at least one basic problem to which the concept code described above is allocated and one of the concept code or the dummy code is assigned to each view. The problem generator 111a may generate diagnostic problem information including at least one extracted diagnostic problem.

In addition, the problem generating unit 111a may transmit at least one diagnostic problem to the memory unit 112 at a level similar to a problem transmitted to the user device 120 before the user device 120 accesses the service server 110. The diagnostic problem information including the extracted at least one basic problem may be generated from the stored at least one basic problem. In this case, the higher the number of concepts included in each of the at least one basic problem, the higher the level, and level information capable of displaying the number of concepts included in each of the basic problems may be allocated. For example, a basic problem containing one concept may be assigned a level information of "level 0", and a basic problem containing two concepts may be assigned a level information of "level 1". In addition, the basic problem that includes three concepts may be assigned a level information of "level 2", but is not limited to the above example. That is, the service server 110 may store the level information of each problem that was transmitted to the user device 120 before the user device 120 accesses the service server 110, the problem generating unit 111a May extract a problem in which the same level information as the level information of each transmitted problem is allocated from the at least one basic problem stored in the memory 112 as at least one diagnostic problem.

Next, the service server 110 receives the first correct answer information from the user device 120 (S120). The user device 120 may display the diagnostic problem information received from the service server 110 through a separate display unit installed or connected to the user device 120, and the user device 120 may be included in the diagnostic problem information. The first correct answer information may be generated by selecting one of the plurality of views for each of the at least one diagnostic problem.

Next, the wrong answer extracting unit 111b of the service server 110 extracts an incorrect answer selected from the at least one diagnosis problem using the first correct answer information, and the concept code extracting unit 111d extracts the wrong answer extracting unit ( The first incorrect code information is generated from the incorrect problem extracted from 111b) (S130).

The problem generating unit 111a may store, in the memory unit 112, diagnostic problem answer information for each of at least one diagnostic problem included in the diagnostic problem information transmitted to the user device 120, and an incorrect answer extracting unit 111b. May extract the wrong answer selected from the at least one diagnostic problem using the diagnostic problem answer information and the first correct answer information, but is not limited to the above example.

The concept code extracting unit 111d may extract a concept code pre-allocated to the selected view from the incorrect question extracting unit 111b extracted, and generate first incorrect code information including the extracted concept code. For example, as shown in FIG. 4, when the user selects the correct answer for the question having the correct answer as number 4, the wrong answer extracting unit 111b may extract the problem as shown in FIG. 4 as the wrong answer problem. The concept code extracting unit 111d may generate the first incorrect code information by extracting the concept code “C426” corresponding to the number 2 selected by the user, as shown in FIG. 5. It doesn't happen. In this case, as described above, "C426" may be a concept code for equations and inequalities.

Next, the correct answer extracting unit 111c of the service server 110 extracts the correct answer selected from the at least one diagnostic problem using the first correct answer information, and the concept code extracting unit 111d extracts the correct answer extracting unit ( The first correct answer code information is generated from the correct answer question extracted by 111c) (S140).

As described above, the problem generating unit 111a may store the diagnostic problem answer information for each of at least one diagnostic problem included in the diagnostic problem information transmitted to the user device 120 in the memory unit 112. The correct answer extracting unit 111c may extract the correct answer selected from the at least one diagnostic problem using the diagnostic problem answer information and the first correct answer information, but is not limited thereto.

Alternatively, the correct answer extracting unit 111c may extract the remaining problem except the incorrect answer extracted by the incorrect answer extracting unit 111b from the at least one diagnostic problem as the correct answer problem, but is not limited to the above example.

The concept code extractor 111d may extract a concept code pre-allocated to the selected view from the correct answer problem extracted by the correct answer extractor 111c, and generate first correct answer code information including the extracted concept code.

Next, the report generation unit 111e of the service server 110 generates the first report information by using the first correct answer code information, the first incorrect answer code information, and the extracted correct answer problem, and then through the transceiver 113. Transmission to the user device 120 (S150).

In this case, the first report information includes at least one of score information on a score obtained by the user through diagnostic problem information, strength concept information on a concept in which the user shows strength, and weakness concept information on a concept in which the user shows weakness. can do. The report generation unit 111e generates strength concept information by using a concept that matches the concept code included in the first correct answer code, and weakness concept information by using a concept that matches the concept code included in the first incorrect code information. May be generated, and score information may be generated by summing scores assigned to the extracted correct answer questions, but the present invention is not limited thereto. In this case, each of the at least one basic problem stored in the memory unit 112 includes many concepts, and as the level increases, a higher score may be assigned. That is, in the personalized smart education method for self-completed learning according to an embodiment of the present invention, the score is not simply provided according to the number of questions customized by the user, but the level of the problem customized by the user may be applied to the score. Accordingly, in the personalized smart education method for self-completed learning according to an embodiment of the present invention, the service server 110 transmits the report information including the strength concept information or weakness concept information to the user device 120, the user device The user using the 120 can easily identify the concept showing strengths and weaknesses in the problem solved by the user, and can grasp the level of the problem that he or she solved according to the score.

Next, the problem generating unit 111a generates the first concept establishment problem information by using the first incorrect answer code information and the problem selection algorithm, and transmits the first concept establishment problem information to the user device 120 (S160). .

The problem generator 111a may extract at least one concept establishment problem from at least one basic problem stored in the memory 112 using the first incorrect code information and a problem selection algorithm stored in the memory 112 in advance. have. More specifically, since the concept codes are assigned to each of the basic problems as described above, the problem generating unit 111a may include at least one corresponding to the concept codes included in the incorrect code information through the first problem selection algorithm. The basic problem can be extracted as at least one concept building problem. That is, the problem generating unit 111a extracts at least one concept establishing problem corresponding to the concept code included in the first incorrect code information from the at least one basic problem stored in the memory unit 112 through a problem selection algorithm, First concept establishment problem information including the extracted at least one concept establishment problem may be generated. At this time, the problem selection algorithm is assigned the same concept code as the concept code of the incorrect answer problem, but lower than the incorrect answer problem, by using the algorithm, the level information and the concept code assigned to the user's past accumulated learning history. It may be formed of an algorithm for extracting the problem of, but is not limited to the above example, the personalized smart training method for self-completed learning according to an embodiment of the present invention priority to extract a problem corresponding to the concept code It may include any algorithm that can include any algorithm for setting the.

For example, if the user selects the second correct answer to a problem as shown in FIG. 4 and the second is assigned a concept code "C426" corresponding to the above-described equations and inequalities, the concept code. The extraction unit 111d may extract the concept code “C426” assigned to the number 2 selected by the user, and the problem generation unit 111a may extract the concept code extracted from the concept code extraction unit 111d through the problem selection algorithm. Among the at least one basic problem to which a concept code matching "C426" is assigned, a problem as shown in FIG. 6 may be extracted as a concept establishment problem.

In addition, when the user selects the correct answer to the problem as shown in FIG. 4 as 5 and the dummy code "Dummy" described above is assigned to 5, the concept code extracting unit 111d is used by the user. Dummy code assigned to the selected 5 times can be extracted. When "Dummy" is extracted from the concept code extracting unit 111d, the problem generating unit 111a allocates the same concept code as the wrong answer selected by "Dummy" through the problem selection algorithm and stores the same level information. It can be extracted from the at least one basic problem stored in the unit 112 as a concept establishment problem, but is not limited to the above examples.

On the other hand, the problem generating unit 111a may include at least one diagnostic problem included in the diagnosis problem information and at least one problem stored in the memory unit 112 different from at least one concept establishment problem included in the first concept establishment problem information. It can be extracted from the basic problem and included in the first concept establishment problem information. Therefore, the personalized smart education method for self-completed learning according to an embodiment of the present invention can easily extract the concept that the user does not know additionally.

Next, the service server 110 receives the second correct answer information from the user device 120 (S170). The user device 120 may display the first concept establishment problem information received from the service server 110 through a separate display unit installed or connected to the user device 120, and the user device 120 establishes a concept. The second correct answer information may be generated by selecting one of a plurality of views for each of the at least one conceptual establishment problem included in the problem information.

Next, the incorrect answer extractor 111b extracts an incorrect answer selected from the at least one conceptual establishment problem using the second correct answer information, and the concept code extractor 111d is extracted from the incorrect answer extractor 111b. The second incorrect code information is generated from the incorrect question (S180).

The problem generator 111a may store, in the memory 112, concept establishment problem answer information for each of at least one concept establishment problem included in the concept establishment problem information transmitted to the user device 120. 111b may extract an incorrect answer problem in which an incorrect answer is selected among at least one conceptual establishment problem using the concept establishment problem answer information and the second correct answer information, but is not limited to the above example.

The concept code extracting unit 111d extracts a concept code pre-assigned to the selected view from the incorrect question extracted by the incorrect answer extracting unit 111b from at least one concept establishing problem, and includes second extracted incorrect code information. Can be generated.

Next, the correct answer extracting unit 111c extracts the correct answer selected from the at least one concept establishment problem using the second correct answer information, and the concept code extracting unit 111d extracts the correct answer extracting unit 111c. The second correct answer code information is generated from the correct answer question (S190).

The method of extracting the correct answer selected from the at least one concept establishment problem using the second correct answer information by the correct extractor 111c may include at least one correct answer extractor 111c using the first correct answer information. Among the diagnostic problems of the correct answer may be the same as the method of extracting the selected correct answer problem, a description thereof will be omitted below.

The concept code extractor 111d may extract a concept code pre-allocated to the selected view from the correct answer problem extracted by the correct answer extractor 111c, and generate second correct answer code information including the extracted concept code.

Next, the report generation unit 111e generates second report information by using the second correct answer code information, the second incorrect code information, and the extracted correct answer problem, and sends it to the user device 120 through the transceiver 113. Transmit (S200).

In this case, the report generation unit 111e may generate the second report information in the same manner as the method of generating the first report information, and the second report information may be formed to include the same information as the first report information. . That is, the second report information includes strength concept information about a concept in which the user shows strength in at least one concept establishment problem, weakness concept information and concept establishment problem information on a concept in which the user shows weakness, and a score obtained by the user. At least one of the score information may be included. Therefore, the user can easily identify the concept that he established through the diagnosis problem and the concept establishment problem and the concept that he still shows weakness by confirming the first report information and the second report information through the user device 120. have.

Finally, the problem generating unit 111a generates the second concept establishment problem information by using the second incorrect code information and the problem selection algorithm, and transmits the second concept establishment problem information to the user device 120 (S210).

The method of generating the second concept establishment problem information by the problem generation unit 111a is the same as the method of generating the first concept establishment problem information by the problem generation unit 111a described above, and thus description thereof will be omitted. .

On the other hand, if the same concept code is included in the first incorrect code information and the second incorrect code information, the problem generation unit 111a corresponds to the concept code included in the second incorrect code information, but the first concept establishment problem information. The second concept establishment problem information may be generated by extracting a problem different from the concept establishment problem information included in the at least one basic problem stored in the memory unit 112. Accordingly, the personalized smart education method for self-completed learning according to an embodiment of the present invention can allow a user to establish a concept of showing his or her weakness through various problems.

The problem generating unit 111a may include at least one diagnostic problem information included in the diagnostic problem information, at least one concept establishment problem included in the first concept establishment problem information, and at least one included in the second concept establishment problem information. A problem different from the concept establishment problem may be extracted from at least one basic problem stored in the memory unit 112 and further included in the second concept establishment problem information. Therefore, the personalized smart education method for self-completed learning according to an embodiment of the present invention can easily extract the concept that the user does not know additionally.

Meanwhile, the process of generating the first concept establishment problem information by the problem generation unit 111a described above and transmitting the generated first concept establishment problem information to the user device 120 is performed by the report generation unit 111e. After transmitting the report information to the user device 120 may be selectively performed by the user's selection using the user device 120.

Also, the process of generating the second concept establishment problem information by the problem generation unit 111a described above and transmitting the generated second concept establishment problem information to the user device 120 is performed by the report generation unit 111e. After transmitting the report information to the user device 120 may be selectively performed by the user's selection using the user device 120.

In this case, the service server 120 may provide a separate interface screen for selecting to receive the first concept establishment problem information or the second concept establishment problem information to the user device 120.

In addition, the process of the service server 110 receives the answer information of the second concept establishment problem information from the user device 120, and transmits the additional concept establishment problem according to the self-complete type according to the embodiment of the present invention described above Concept establishment problem information including at least one concept establishment problem corresponding to the extracted concept code by extracting a wrong answer problem using the answer information in the personalized smart education method for learning, and extracting the concept code from the extracted incorrect question May be performed by the same process as the process of transmitting to the user device 120, such a process may be selectively repeated by the selection by the user selecting the user device 120.

The personalized smart education method for self-completed learning according to an embodiment of the present invention as described above may be implemented as a code that can be read by a computer or a smart phone on a recording medium that can be read by a computer or a smart phone. The recording medium readable by a computer or a smartphone may include any kind of recording device in which data that can be read by the computer system or the smartphone system is stored. Examples of recording media that can be read by a computer or a smartphone include ROM, RAM, CD, DVD, Blu-ray, magnetic tape, floppy disk, optical data storage device, flash memory, and the like. In addition, the computer- or smartphone-readable recording medium can be distributed over network coupled computer systems so that the computer- or smartphone-readable code is stored and executed in a distributed fashion.

As mentioned above, although embodiment of this invention was described, the person of ordinary skill in the art should add, change, delete, add, etc. the component within the range which does not deviate from the idea of this invention described in the claim. The present invention may be modified and changed in various ways, which will also be included within the scope of the present invention.

Claims (10)

1. In the personalized smart training method for self-completed learning,

   Receiving, by the service server, first correct answer information about the selected one of the plurality of views for each of the at least one diagnosis problem from the user device through the transceiver;

   Extracting, by the wrong answer extracting unit of the service server, an incorrect question selected from the at least one diagnostic problem using the first correct answer information;

   Extracting a concept code pre-allocated to a selected view from an incorrect problem extracted by the concept code extracting unit of the service server, and generating first incorrect code information including the extracted concept code; And

   The service generator extracts at least one concept establishment problem to which a concept code corresponding to the concept code included in the first incorrect code information is allocated from the memory unit, and includes the extracted at least one concept establishment problem. Generating first concept establishment problem information

   Including,

   Personalized smart training methods for self-paced learning.
2. The method of claim 1,

   The at least one conceptual establishment problem is extracted from at least one basic problem stored in the memory unit,

   Each of the at least one basic problem includes a plurality of views, and each of the plurality of views has a concept code pre-assigned and stored in advance in the memory unit.

   Personalized smart training methods for self-paced learning.
3. The method of claim 1.

   Before the step of receiving the first correct answer information from the user device, the service server transmitting the diagnostic problem information including at least one diagnostic problem to the user device through the transceiver unit;

   More,

   Each of the at least one diagnostic problem includes a plurality of views, each of which is pre-assigned a concept code,

   Personalized smart training methods for self-paced learning.
4. The method of claim 1,

   The method,

   After generating the first incorrect code information,

   Extracting, by a correct answer extracting unit, a correct answer selected from the at least one diagnostic problem using a first correct answer information; And

   Extracting a concept code pre-allocated to a selected view from the correct answer problem extracted by the concept code extracting unit, and generating first correct answer code information including the extracted concept code;

   Personalized smart training methods for self-paced learning.
5. The method of claim 4, wherein

   The method,

   Generating, by the report generation unit of the service server, first report information using the first correct answer code information, the first incorrect answer code information, and the extracted correct answer problem; And

   And transmitting, by the report generation unit, the first report information to the user device through the transceiver.

   Personalized smart training methods for self-paced learning.
6. The method of claim 5,

   The first report information includes at least one of score information on a score obtained by the user through the diagnosis problem information, strength concept information on a concept in which the user shows strength, and weakness concept information on a concept in which the user shows weakness. and,

   The report generation unit generates the strength concept information by using a concept that matches the concept code included in the first correct answer code information, and uses the concept that matches the concept code included in the first incorrect code information by using the concept. Generating the conceptual information and generating the score information by summing scores assigned to the extracted correct questions;

   Personalized smart training methods for self-paced learning.
7. The method of claim 1,

   After generating the first concept establishment problem information,

   The problem generation unit may further include, in the first concept establishment problem information, a problem that is different from the at least one concept establishment problem included in the at least one diagnosis problem and the first concept establishment problem information.

   Personalized smart training methods for self-paced learning.
8. The method of claim 1,

   The method,

   After generating the first concept establishment problem information,

   Transmitting, by the problem generation unit, the first concept establishment problem information to the user device through a transceiver;

   Receiving, by the service server, second correct answer information about a selected one of a plurality of views for each of at least one concept establishment problem included in the first concept establishment problem information from the user device through the transceiver;

   Extracting, by the incorrect answer extracting unit, a wrong answer selected from at least one conceptual establishment problem included in the first conceptual establishment problem information using the second correct answer information;

   Extracting a concept code pre-allocated to a selected view from an incorrect problem extracted by the concept code extracting unit, and generating second incorrect code information including the extracted concept code; And

   A second including the at least one concept establishment problem to which the concept code corresponding to the concept code included in the second incorrect concept information is allocated from the memory unit, and including the extracted at least one concept establishment problem; Generating concept establishment problem information, wherein if the concept code included in the first incorrect concept information is the same as the concept code included in the second incorrect concept information, the second concept is different from the first concept establishment problem information; Steps to create concept problem information

   Further comprising,

   Personalized smart training methods for self-paced learning.
9. A computer-readable recording medium storing a program for performing a personalized smart education method for self-completed learning according to any one of claims 1 to 8.
10. In the personalized smart education method for self-completed learning, the service server transmits the diagnostic problem information including at least one diagnostic problem to the user device through the transceiver, wherein each of the at least one diagnostic problem for the correct answer It includes a plurality of views formed of views and views of incorrect answers, and the view of incorrect answers is a view of an answer generated when a specific concept is not understood and solved, and a concept code for the specific concept is assigned. Transmitting the diagnostic problem information to a user device; And

    The problem generating unit of the service server extracts, from the memory unit of the service server, at least one concept establishment problem in which the concept code corresponding to the concept code assigned to the view for the wrong answer is assigned when the user selects the view for the wrong answer. Steps to

    Including, personalized smart training method for self-complete learning.

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