KR102627731B1 - Apparatus and method for providing service of setting customized learning direction for student's academic achievement - Google Patents

Abstract

The present invention relates to an apparatus and method for providing a customized learning direction setting service for students' academic achievement.
An electronic device according to an embodiment of the present invention includes a memory and a processor connected to the memory, wherein the processor receives first student academic information for a first student from an administrator terminal, and Based on the first student's academic information, information on currently available universities that can be accepted with the first student's current grades is derived, and first improvement information is provided to improve grades in order to be accepted to the university and major desired by the first student. may be generated and the first improvement information may be transmitted to the manager terminal.

Description

Device and method for providing customized learning direction setting service for students' academic achievement {APPARATUS AND METHOD FOR PROVIDING SERVICE OF SETTING CUSTOMIZED LEARNING DIRECTION FOR STUDENT'S ACADEMIC ACHIEVEMENT}

The present invention relates to an apparatus and method for providing a customized learning direction setting service for students' academic achievement.

Unless otherwise indicated herein, the material described in this section is not prior art to the claims of this application, and is not admitted to be prior art by inclusion in this section.

Students have limited time to prepare for college. Therefore, it is necessary to set a customized learning direction according to students' academic achievement and desired college and major.

Accordingly, the present invention seeks to propose a technology that can provide a customized learning direction setting service for students' academic achievement.

Korean Patent No. 10-2086946 (2020.03.13.)

One embodiment of the present invention provides an apparatus and method for providing a customized learning direction setting service for students' academic achievement.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below. You will be able to.

In order to achieve the above-described object, an electronic device according to an embodiment of the present invention includes a memory and a processor connected to the memory, and the processor is configured to transmit the first information to the first student from the administrator terminal. To receive student academic information, derive information on currently available universities that can be accepted with the first student's current grades based on the first student academic information, and be accepted to the university and major desired by the first student. First improvement information for improving grades may be generated, and the first improvement information may be transmitted to the administrator terminal.

At this time, the first student academic information includes first grade information including mock test answer information, mock test score information, and school grade information for the first student, first university information desired by the first student, and first student academic information. It may include first desired information including major information.

At this time, the processor generates first grade position information indicating where the grades of the first student are distributed in the overall student grade distribution chart generated from the grades of all students based on the first grade information, , Referring to the first DB containing information on grades for acceptance according to all universities and majors, deriving the first possible university information and the first possible major information based on the first grade location information, and deriving the first possible university information and the first possible major information 1 The current available university information can be derived to include the available university information and the first possible major information.

At this time, in order to derive the first possible university information and the first possible major information, the processor derives the remaining period between the current point in time and the final point in time at which the first student's grades are preset to be finally confirmed. And, generate second grade location information based on the remaining period and the preset grade improvement curve, and refer to the first DB to determine the university and major corresponding to the second grade location information through the first possible college information. And it can be derived from the first possible major information.

At this time, the processor derives the first average grade increase during the preset evaluation period based on the second grade information for all students, and selects the second student included in the preset upper range in the grade distribution chart for all students. Derive the 4th grade information for the 3rd student included in the preset lower range from the 3rd grade information and the overall student grade distribution chart, and based on the 3rd grade report and the 4th grade information, the 4th grade information during the evaluation period A second average grade increase range can be derived, and the grade improvement curve indicating the relationship between grade points and periods can be set based on the first average grade increase range and the second average grade increase range.

At this time, the performance improvement curve is derived by the equation below,

S refers to the above grade score, P refers to a period divided into preset sections, PS refers to the perfect score of the above grade score, and a refers to the first average grade increase rate of all students during the above evaluation period. means, b means the second average grade increase rate of the second and third students during the evaluation period, and the first average grade increase rate is derived by the equation below,

n_0 means the number of all students, EP means the evaluation period, S1_k means the first grade increase rate of the kth student among all students during the evaluation period, and the second average grade increase rate is, It is derived from the equation below,

n_1 means the number of the second student, n_2 means the number of the third student, S2_i means the second grade increase range of the ith second student among the second students during the evaluation period, S3_j may mean the third grade increase of the jth third student among the third students during the evaluation period.

At this time, the processor refers to the first DB, derives a first target grade corresponding to the first university information and the first major information, and determines where the first target grade is in the overall student grade distribution chart. Third sexual location information indicating whether the location is distributed may be generated, and the first improvement information may be generated based on the difference between the second sexual location information and the third sexual location information.

At this time, the processor generates the first improvement information only when the difference between the second sexual location information and the third sexual location information exceeds a preset threshold difference, and the second sexual location information and the third sexual location information 3 If the difference in sexual location information is less than the threshold difference, the first improvement information can be generated.

At this time, when generating the first improvement information, the processor derives a first subject standard score, which means a standard score for each subject, based on the mock test score information of the first student, and determines the first target grade. Based on this, the second subject standard score, which means the standard score for each subject, is derived, and by comparing the first subject standard score and the second subject standard score, the subjects requiring improvement are extracted from the subjects, and each subject , the first improvement information can be generated by extracting a preset number of problems corresponding to the subject requiring improvement for each subject requiring improvement from the second DB containing problems classified by sub-item constituting the subject. there is.

At this time, the processor derives the average correct answer rate for each sub-item for the subject requiring improvement based on the mock test answer information, and sets the number of improvement questions in proportion to the average correct answer rate for each sub-subject for the subject requiring improvement. The number of detailed table of contents problems is derived by allocating by detailed table of contents, the problems corresponding to each detailed table of contents are extracted from the second DB as many as the number of detailed table of contents problems assigned, and the number of detailed table of contents problems is extracted by each detailed table of contents. The first improvement information can be derived by collecting problems.

At this time, the number of problems assigned to the detailed table of contents for the detailed table of contents is derived by the equation below,

N_m means the number of problems assigned to the table of contents for the m-th table of contents, tn means the total number of tax tables corresponding to the subject requiring improvement, CAR_m means the average correct answer rate for the m-th table of contents, , N_total refers to the number of improvement problems, and ROUND may refer to a function that rounds to an integer.

At this time, the average correct answer rate is derived by the equation below,

NQ_m refers to the number of mock tests in which questions corresponding to the mth table of contents were asked among the mock tests taken by the first student based on the first grade information, and c_m,l is the mth table of contents presented in the lth mock test. means the number of problems corresponding to, and d_m,l means the number of problems that the first student answered correctly based on the first grade information among the problems corresponding to the mth detailed table of contents presented in the lth mock test. can do.

In addition, in the method of providing a customized learning direction setting service for a student's academic achievement, the step of receiving first student academic information about a first student from an administrator terminal, the first student academic information based on the first student academic information A step of deriving information on currently available universities that can be accepted with current grades, a step of generating first improvement information for improving grades in order to be accepted to the university and major desired by the first student, and the first improvement information It may include the step of transmitting to the administrator terminal.

In addition, it can be combined with hardware and implemented as a computer program stored in a computer-readable recording medium to execute a method of providing a customized learning direction setting service for students' academic achievement.

In addition, the method of providing a customized learning direction setting service for students' academic achievement in combination with hardware can be implemented using a computer-readable recording medium storing a computer program.

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

As such, according to an embodiment of the present invention, an apparatus and method for providing a customized learning direction setting service for students' academic achievement can be provided.

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

The above-described and other aspects, features and benefits of certain preferred embodiments of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings.
1 is a diagram showing the configuration of an electronic device according to an embodiment.
Figure 2 is a diagram showing the configuration of a program according to one embodiment.
Figure 3 is a conceptual diagram of an apparatus for providing a customized learning direction setting service for students' academic achievement according to an embodiment.
Figure 4 is a block diagram of an electronic device according to an embodiment.
Figure 5 is a diagram showing the distribution of overall student grades according to one embodiment.
Figure 6 is a diagram showing derivation of first possible university information and first possible major information based on the first grade location information according to one embodiment.
Figure 7 is a diagram showing a performance improvement curve according to one embodiment.
Figure 8 is a diagram illustrating an example of the number of detailed table of contents problems assigned according to an embodiment.
Figure 9 is a diagram illustrating the derivation of the average correct response rate for each sub-item according to one embodiment.
Figure 10 is a flowchart of a method of providing a customized learning direction setting service for students' academic achievement according to an embodiment.
It should be noted that throughout the drawings, like reference numerals are used to illustrate identical or similar elements, features and structures.

The following embodiments combine elements and features of the embodiments in a predetermined form. Each component or feature may be considered optional unless explicitly stated otherwise. Each component or feature may be implemented in a form that is not combined with other components or features. Additionally, various embodiments may be configured by combining some components and/or features. The order of operations described in various embodiments may change. Some features or features of one embodiment may be included in other embodiments or may be replaced with corresponding features or features of other embodiments.

In the description of the drawings, procedures or steps that may obscure the gist of the various embodiments are not described, and procedures or steps that can be understood at the level of a person with ordinary knowledge in the relevant technical field are not described. did.

Throughout the specification, when a part is said to "comprise or include" a certain element, this means that it may further include other elements rather than excluding other elements unless specifically stated to the contrary. do. In addition, terms such as "... unit", "... unit", and "module" used in the specification refer to a unit that processes at least one function or operation, which is hardware, software, or a combination of hardware and software. It can be implemented as: Additionally, the terms “a or an,” “one,” “the,” and similar related terms are used herein in the context of describing various embodiments (particularly in the context of the claims below). Unless otherwise indicated or clearly contradicted by context, it may be used in both singular and plural terms.

Hereinafter, embodiments according to various embodiments will be described in detail with reference to the attached drawings. The detailed description set forth below in conjunction with the accompanying drawings is intended to illustrate exemplary embodiments of various embodiments and is not intended to represent the only embodiment.

In addition, specific terms used in various embodiments are provided to aid understanding of the various embodiments, and the use of such specific terms may be changed to other forms without departing from the technical spirit of the various embodiments. .

FIG. 1 is a diagram showing the configuration of an electronic device according to an embodiment, and FIG. 2 is a diagram showing the configuration of a program according to an embodiment.

The configuration of the electronic device and program for FIGS. 1 and 2 will be described in more detail later.

Referring to FIG. 3, the device 101 for providing a customized learning direction setting service for a student's academic achievement according to an embodiment of the present invention determines the current grade of the first student based on the student academic information for the first student. It is possible to determine which universities are possible and which universities one can go to with future efforts, and by deriving the subjects and detailed table of contents that the first student currently lacks, it is possible to collect and provide only the corresponding problems.

At this time, the administrator terminal is a desktop computer, laptop computer, laptop, smart phone, tablet PC, mobile phone, or smart watch that can communicate. (smart watch), smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) player, digital voice It may include a digital audio recorder, digital audio player, digital video recorder, digital video player, PDA (Personal Digital Assistant), etc.

Figure 4 is a block diagram of an electronic device 101 according to an embodiment of the present invention.

Referring to FIG. 4, an apparatus 101 for providing a customized learning direction setting service for students' academic achievement according to an embodiment of the present invention may include a memory and a processor connected to the memory.

At this time, the processor 120 may receive the first student academic information for the first student from the administrator terminal.

At this time, the first student academic information includes first grade information including mock test answer information, mock test score information, and school grade information for the first student, first university information desired by the first student, and first student academic information. It may include first desired information including major information.

Based on this, the current academic achievement level of the first student can be estimated and the target academic achievement level can be estimated.

Additionally, the processor 120 may derive information on currently available universities where the first student can be accepted based on the first student's current grades, based on the first student academic information.

Additionally, the processor 120 may generate first improvement information for improving grades in order to pass the university and major desired by the first student.

At this time, the first improvement information relates to a collection of problems necessary to improve the first student's grade, through which the first student can provide the most efficient problems to improve his or her grade. there is. This will be described in more detail later.

The processor 120 may transmit the first improvement information to the manager terminal.

Figure 5 is a diagram showing the distribution of grades for all students according to an embodiment, and Figure 6 is a diagram showing derivation of first possible college information and first possible major information based on the first grade location information according to an embodiment. am.

The processor 120 generates first grade position information indicating where the grades of the first student are distributed in the overall student grade distribution chart generated from the grades of all students based on the first grade information, , Referring to the first DB containing information on grades for acceptance according to all universities and majors, deriving the first possible university information and the first possible major information based on the first grade location information, and deriving the first possible university information and the first possible major information 1 The current available university information can be derived to include the available university information and the first possible major information.

An example of the first DB can be found in the table in FIG. 6.

Figure 7 is a diagram showing a performance improvement curve according to one embodiment.

Referring to FIG. 7, in order to derive the first possible university information and the first possible major information, the processor 120 uses the current point in time and the final point in time at which the grades of the first student are finally determined. The remaining period of time can be derived.

At this time, the final time may be the day of the college entrance exam.

This is to provide realistic advice by confirming in advance the amount of physical time that can improve the first student's grades.

In addition, the processor 120 generates second grade position information based on the remaining period and a preset grade improvement curve, and refers to the first DB to determine the university and major corresponding to the second grade position information. can be derived from the first possible university information and the first possible major information.

At this time, the grade improvement curve shown in FIG. 7 generally refers to the period of time it takes to improve grades from a certain score to another score, and through this, the final score that the first student can improve during the remaining period is can be expected.

Looking at the grade improvement curve in more detail, the processor 120 derives the first average grade increase during the preset evaluation period based on the second grade information for all students, and calculates the grade distribution chart for all students. Derive third grade information for the second student included in the preset upper range and fourth grade information for the third student included in the preset lower range from the overall student grade distribution chart, and derive the third grade information and the third grade information for the third student included in the preset lower range. 4 Based on the grade information, derive the second average grade increase during the evaluation period, and set the grade improvement curve indicating the relationship between grade points and period based on the first average grade increase and the second average grade increase. You can.

The evaluation period can be derived as the average of the period between a specific mock test and the next mock test.

In more detail, the performance improvement curve can be derived by Equation 1 below.

[Equation 1]

At this time, S means the grade score, P means a period divided into preset sections, PS means the perfect score of the grade score, and a is the first average of all students during the evaluation period. It means the grade increase rate, and b may mean the second average grade increase rate of the second and third students during the evaluation period.

At this time, the section is arbitrarily set by the administrator, but can be set on a monthly basis.

Additionally, the first average grade increase rate can be derived by Equation 2 below.

[Equation 2]

At this time, n_0 may mean the number of all students, EP may mean the evaluation period, and S1_k may mean the first grade increase of the kth student among all students during the evaluation period.

Additionally, the second average grade increase rate can be derived by Equation 3 below.

[Equation 3]

At this time, n_1 means the number of the second student, n_2 means the number of the third student, and S2_i is the second grade increase range of the ith second student among the second students during the evaluation period. This means, and S3_j may mean the third grade increase range of the jth third student among the third students during the evaluation period.

Through this, it is possible to derive a grade improvement curve that reflects the grade change rate and the general grade change rate in the low-grade and high-grade grades.

As described above, the first improvement information may mean a collection of problems for improving the first student's grade, that is, a workbook.

At this time, since the number of problems that the first student can solve is limited, it is important to accurately catch the areas that the first student is lacking and collect only those problems.

To this end, the processor 120 refers to the first DB, derives a first target grade corresponding to the first university information and the first major information, and the first target grade is the overall student grade. Third sexual location information indicating where the device is distributed in the distribution chart may be generated, and the first improvement information may be generated based on the difference between the second sexual location information and the third sexual location information.

In more detail, the processor 120 generates the first improvement information only when the difference between the second grade location information and the third grade location information exceeds a preset threshold difference, and the second grade location information If the difference between the location information and the third sexual location information is less than the threshold difference, the first improvement information may not be generated.

At this time, the critical difference is arbitrarily set by the administrator, but may be set within 10%, for example.

In addition, when generating the first improvement information, the processor 120 derives a first subject standard score, which means a standard score for each subject, based on the mock test score information of the first student, and Based on the target grade, a second subject standard score, which means the standard score for each subject, is derived, and the first subject standard score is compared with the second subject standard score to extract subjects requiring improvement among the subjects, The first improvement information is generated by extracting a preset number of problems corresponding to the subject requiring improvement from the second DB, which contains problems classified by subject and sub-item composing the subject, as many as the preset number of improvement problems. can do.

At this time, the number of improvement problems refers to the number of problems to be solved by the first student, and can be arbitrarily set by the administrator, for example, 100. At this time, the number of improvement problems may also be adjusted according to the cycle of generating the first improvement information.

At this time, even if it is a single subject, there is a high possibility that the detailed table of contents in which the first student is confident and the detailed table of contents in which he is not confident are separated. Therefore, even if it is a single subject, it is desirable to attach more problems related to the detailed table of contents that the first student is not confident about.

Figure 8 is a diagram illustrating an example of the number of detailed table of contents problems assigned according to an embodiment.

Referring to FIG. 8, the processor 120 derives the average correct answer rate for each sub-item for the subject requiring improvement based on the mock test answer information, and calculates the average correct answer rate for each sub-subject for the subject requiring improvement in proportion to the average correct answer rate for each sub-subject. The number of improvement problems is assigned to each sub-table of contents to derive the number of sub-table of contents problems assigned, the problems corresponding to each sub-table of contents are extracted from the second DB as many as the number of sub-table of contents problems assigned, and the number of problems corresponding to each sub-table of contents is extracted from the second DB, and the number of problems corresponding to each sub-table of contents is extracted from the second DB. The first improvement information can be derived by collecting the extracted problems as many as the number of problem assignments.

At this time, the number of problems assigned to the detailed table of contents for the detailed table of contents can be derived by Equation 4 below.

[Equation 4]

At this time, N_m means the number of problems assigned to the table of contents for the mth table of contents, tn means the total number of tax tables corresponding to the subject requiring improvement, and CAR_m is the average correct answer rate for the mth table of contents. means, N_total means the number of improvement problems, and ROUND may mean a function that rounds to an integer.

Additionally, referring to FIG. 9, the average correct answer rate can be derived by Equation 5 below.

[Equation 5]

At this time, NQ_m refers to the number of mock tests in which questions corresponding to the m-th detailed table of contents were asked among the mock tests taken by the first student based on the first grade information, and c_m,l is the number of mock tests in the l-th mock test. d_m,l refers to the number of problems corresponding to the th table of contents, and d_m,l refers to the number of problems that the first student answered correctly based on the first grade information among the problems corresponding to the mth table of contents presented in the lth mock test. It can mean a number.

Through this, it is possible to provide a collection of problems about subjects that the first student is lacking so that he or she can be accepted to the university and major of his/her choice, but also to provide more problems about the detailed table of contents that the first student is lacking. .

Figure 10 is a flowchart of a method of providing a customized learning direction setting service for students' academic achievement according to an embodiment.

Referring to FIG. 10, the method of providing a customized learning direction setting service for a student's academic achievement according to an embodiment of the present invention may receive first student academic information for a first student from an administrator terminal (S101).

In addition, the method of providing a customized learning direction setting service for a student's academic achievement according to an embodiment of the present invention provides information on currently available universities that can be accepted with the first student's current grades based on the first student academic information. It can be derived (S103).

In addition, the method of providing a customized learning direction setting service for a student's academic achievement according to an embodiment of the present invention can generate first improvement information for improving grades in order to pass the university and major desired by the first student. There is (S105).

Additionally, the method of providing a customized learning direction setting service for students' academic achievement according to an embodiment of the present invention may transmit the first improvement information to the administrator terminal (S107).

In addition, the method of providing a customized learning direction setting service for a student's academic achievement according to an embodiment of the present invention may be configured in the same way as the device for providing a customized learning direction setting service for a student's academic achievement disclosed in FIGS. 1 to 9. there is.

In addition, it can be combined with hardware and implemented as a computer program stored in a computer-readable recording medium to execute a method of providing a customized learning direction setting service for students' academic achievement.

In addition, the method of providing a customized learning direction setting service for students' academic achievement in combination with hardware can be implemented using a computer-readable recording medium storing a computer program.

1 is a block diagram of an electronic device in a network environment, according to various embodiments. Referring to FIG. 1, in a network environment, an electronic device communicates with an electronic device through a first network (e.g., a short-range wireless communication network), or with one of the electronic devices or a server through a second network (e.g., a long-distance wireless communication network). Can communicate with at least one. According to one embodiment, the electronic device may communicate with the electronic device through a server.

According to one embodiment, the electronic device includes a processor, memory, input module, audio output module, display module, audio module, sensor module, interface, connection terminal, haptic module, camera module, power management module, battery, communication module, and subscriber. It may include components such as an identification module. In certain examples, at least one of these components may be omitted or other components may be added. Additionally, in some examples, these components may be integrated and used. Electronic devices may also be expressed in terms such as clients, terminals, or peers.

A processor can control other components (e.g. hardware or software components) connected to an electronic device, and can mainly execute software (e.g. programs) to perform various data processing and computations. In general, a processor stores commands or data received from other components (e.g., sensor modules or communication modules) in volatile memory, and processes the stored commands and data to perform various operations or data processing tasks. And the data generated as a result of processing can be stored in non-volatile memory. This allows the processor to control the functions of the electronic device and process data to perform necessary tasks.

According to one embodiment, the processor (is a main processor (e.g., central processing unit or application processor) or an auxiliary processor that can operate independently or together (e.g., a graphics processing unit (GPU), neural network processing unit (NPU) : neural processing unit), image signal processor, sensor hub processor, or communication processor). For example, if an electronic device includes a main processor and a co-processor, the co-processor uses less power than the main processor. Alternatively, it may be set to specialize in a designated function.The auxiliary processor may be implemented separately from the main processor or as part of it.

A coprocessor is a component that plays an important role within an electronic device, operating as an auxiliary to or in conjunction with the main processor to provide functions or states related to other components (e.g. display module, sensor module, or communication module). can be controlled. For example, when the main processor is in an inactive (e.g. sleep) state, the auxiliary processor can operate in place of the main processor, and when the main processor is in an active (e.g. application execution) state, the auxiliary processor and They can work together to control a variety of functions and states. By performing these roles, coprocessors can improve the performance and increase efficiency of electronic devices.

According to some examples, an auxiliary processor (e.g., neural network processing unit) with a hardware structure specialized for processing artificial intelligence models may be included. Artificial intelligence models can be created through machine learning. This learning may be performed in the electronic device itself, or may be performed through a separate server (e.g., external server, cloud server). Learning algorithms may include various forms such as supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.

An artificial intelligence model may include multiple artificial neural network layers. These artificial neural networks include deep neural networks (DNN), convolutional neural networks (CNN), recurrent neural networks (RNN), restricted Boltzmann machines (RBM), deep belief networks (DBN), bidirectional recurrent deep neural networks (BRDNN), and deep Q-networks ( DQN) or a combination of these methods. However, these examples are not limiting.

An artificial intelligence model may additionally or alternatively include a software structure in addition to a hardware structure.

Memory is an important component used within electronic devices and plays a role in storing various data. This data mainly consists of input data or output data of instructions related to the software program. Memory is divided into volatile memory and non-volatile memory. Volatile memory loses stored data when the power is turned off, while non-volatile memory can retain data even when the power is turned off.

A program may be composed of software and stored in memory. This program may include components such as operating systems, middleware, and applications. An operating system acts as the core software of a computer system and can manage efficient interaction between hardware and software and provide an interface between the user and computer resources. Middleware is an intermediate layer of software that facilitates communication between applications and hardware or other software. An application is a software program designed to perform a specific task and provide functions tailored to the user's needs. These components are stored and executed in memory, support the operation of the computer system and provide functions to the user.

An input module may provide a component (e.g., processor) of an electronic device with the function of receiving commands or data to be transmitted from outside the electronic device (e.g., a user). This module can be configured with various input devices. For example, this may include elements such as microphone, mouse, keyboard, and buttons. Additionally, a digital pen such as a stylus pen can also be used as an input module. The input module facilitates interaction between the user and the electronic device and may function to allow the user to transmit commands or input data. Voice commands are transmitted through a microphone, and actions such as clicking, scrolling, and keystrokes can be performed using the mouse and keyboard. Additionally, you can press buttons to execute specific functions or use a stylus pen to input drawings or handwriting directly on the electronic device. The input module can transmit the user's commands and inputs to the electronic device to be processed.

The sound output module can output sound signals to the outside of the electronic device. This module may include elements such as speakers or receivers. Speakers can mainly be used for general purposes such as multimedia playback or recording playback. The receiver may be primarily used to receive incoming calls. Additionally, the sound output module can transmit sound to the user by outputting the sound signal generated by the electronic device to the outside. You can play various multimedia contents such as music, movies, and games through the speaker, or receive phone calls or notification sounds through the receiver. Through this, users can have a variety of acoustic experiences, such as listening to sound or voices.

The display module can visually display information to the user. For example, a display can be used to show a variety of content such as text, images, and video. Alternatively, a three-dimensional and realistic visual experience can be provided through a holographic device. You can also use a projector to project information onto a large screen. These display modules enable visual interaction between the electronic device and the user.

The audio module converts sounds obtained from the outside into electronic signals so that they can be processed by electronic devices. You can use a microphone or other input module to capture sound and convert it into an electrical signal. Conversely, electrical signals generated by electronic devices can be converted into sound and output through an audio module. These audio modules can process and reproduce various sounds, such as music playback, voice calls, and multimedia content. Additionally, the audio module can be connected to an external electronic device (e.g., a speaker or headphone) to output sound generated by the electronic device to the outside. Through this, users can listen to music, movies, calls, etc. through the audio module. Additionally, external electronic devices and audio modules can be connected via wireless connection. This can provide users with more convenient sound output options.

A sensor module may monitor the operating status of an electronic device or detect changes in the external environment. For example, a gesture sensor can detect the user's movements, and a gyro sensor can detect rotational movements. Barometric pressure sensors detect changes in atmospheric pressure, and magnetic sensors can detect changes in magnetic fields. An acceleration sensor detects acceleration, and a grip sensor can detect contact with the user of the device. Proximity sensors detect the distance to objects around the device, and color sensors can detect color information. An infrared (IR) sensor can detect infrared signals, and a biometric sensor can detect a user's biosignals (e.g., heart rate). A temperature sensor can detect the ambient temperature, a humidity sensor can detect the humidity level, and an illuminance sensor can detect the ambient light level. Sensor modules can be used in electronic devices by generating electrical signals or data values depending on the detected state. This allows electronic devices to interact with their surroundings and provide better functionality and convenience to users.

Interfaces enable interaction between electronic devices and allow data or signals to be exchanged. The HDMI interface is used for high-definition multimedia transmission, and the USB interface can be used for connection and data transmission with various devices. The SD card interface supports connection to a memory card, and the audio interface can provide functions for transmitting sound signals. Interfaces adhere to specific protocols to ensure compatibility and interconnectivity between electronic devices. Through this, users can share data with other devices, transfer files, connect external storage devices, and control multimedia devices. Interfaces can play a role in improving the expandability and diversity of electronic devices by providing various functions.

A connection terminal is an important element for physically connecting an electronic device to the outside. The HDMI connector provides an interface for transmitting high-definition audio and video signals, and the USB connector is used for connection and data transfer with various devices. The SD card connector supports a physical connection to a memory card, and the audio connector (e.g., headphone connector) provides a connection to an audio device. Additionally, the connection terminal forms a physical connection through a connector for data transmission or signal transmission between electronic devices. Through this, users can share data with other devices, connect external storage devices, and connect audio devices. The connection terminal ensures the expandability and compatibility of electronic devices and can provide users with a variety of connection options.

The haptic module can convert electrical signals generated by an electronic device into mechanical stimulation, or convert mechanical stimulation into electrical stimulation and deliver it to the user. Motors can be used to generate mechanical stimulation such as vibration or movement. A piezoelectric element is an element that is transformed by an electric signal and can stimulate the user's sense of touch. Additionally, electrical signals can be transmitted to the user's sense of touch through an electrical stimulation device. Additionally, haptic modules can improve the interaction between electronic devices and users and provide users with a more immersive experience. For example, it can be used to convey the intensity of action or changes in the environment through vibration in a game controller, or to provide feedback through vibration on a touch screen. Haptic modules improve the user interface of electronic devices and can be used to improve user experience in various application fields.

The camera module may provide the ability to capture photos or videos. The lens collects and adjusts light to form an accurate image. An image sensor can create a digital image by converting light collected from a lens into electrical signals. An image signal processor can process digital images and form the final image by optimizing factors such as resolution, color, and brightness. Flash can improve the quality of captured images by providing additional lighting in dark environments. Additionally, camera modules can be used for a variety of purposes and can be mounted on various electronic devices such as digital cameras, smartphones, tablets, and wearable devices. Users can record moments through the camera module, capture photos or videos, save them, and share them. Camera modules are an essential element in capturing and recording digital images and are widely used in modern electronic devices.

The power management module can manage power consumption by regulating and optimizing the power supplied to electronic devices. Power management ICs, such as PMICs, provide functions such as voltage regulation, current control, and power conversion to ensure that various components within an electronic device receive appropriate power. This allows efficient power management, such as minimizing power consumption and extending battery life. Additionally, power management modules can include various functions such as chargers, battery management, and power saving modes, and can improve the performance and energy efficiency of electronic devices. Power management modules can be an important element in ensuring stable operation and long battery life of electronic devices. This allows users to use their electronic devices efficiently and benefit from long-term power consumption and battery management.

Batteries can store energy in electronic devices and provide power when needed. Non-rechargeable primary batteries require replacement after being used once, while rechargeable secondary batteries can be repeatedly charged and discharged. A fuel cell can be a special type of cell that generates electrical energy using external fuel. Batteries are used in a variety of electronic devices, including mobile devices, laptops, electric vehicles, and drones, and can be essential to keep these devices operating. Batteries can be used for long periods of time and can provide a reliable power source for portable and mobile electronic devices. Users of electronic devices can maintain power supply to their devices by charging or replacing batteries, thereby ensuring a smooth usage experience.

Communication modules are used to facilitate data exchange between electronic devices and other devices or networks. A wired communication channel transmits data through wires between electronic devices, and a wireless communication channel transmits data using radio waves. This allows users to perform a variety of communication functions, including data sharing, remote control, Internet access, and sending messages. Additionally, the communication module is separate from the processor and operates independently, and includes one or more communication processors specialized for communication. These processors can be responsible for transmitting, receiving, and processing data for efficient communication. Communication modules support various protocols and technologies to enable smooth interaction with other devices or networks. Through this, users can utilize various communication functions such as rapid exchange of data, remote control, and information sharing through the communication module.

According to an actual implementation example, the communication module may include a wireless communication module (eg, a cellular communication module, a short-range wireless communication module, a GNSS communication module) or a wired communication module (eg, a LAN communication module, a power line communication module). Among these communication modules, the corresponding modules can be connected to a first network (e.g., a short-range communication network such as Bluetooth, WiFi Direct, or IrDA) or a second network (e.g., a legacy cellular network, a 5G network, a next-generation communication network, the Internet, a LAN, or a WAN). It can communicate with external electronic devices through the same telecommunication network).

These various types of communication modules may be integrated into multiple components such as a single chip or multiple chips, or may be implemented as separate components. The wireless communication module may utilize subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module to identify or authenticate the electronic device within a communication network, such as a first network or a second network. This allows users to perform safe and reliable communication through various communication networks.

The wireless communication module can support 5G networks and next-generation communication technologies after 4G networks. For example, NR access technology can be used to support various functions such as high-speed data transfer (eMBB), massive terminal connectivity (mMTC), and high-reliability and low-latency communication (URLLC). Additionally, wireless communication modules can achieve high data rates by utilizing high-frequency bands (e.g., mmWave bands). To this end, it can support various technologies such as beamforming, massive array multiple input/output (MIMO), full-dimensional multiple input/output (FD-MIMO), array antenna, analog beamforming, and large-scale antenna. Additionally, the wireless communication module can meet various requirements required by electronic devices, external electronic devices, or network systems (e.g., a second network).

For example, the wireless communication module can provide the maximum data rate (e.g., >20 Gbps) for eMBB, loss coverage (e.g., <164 dB) for mMTC, and minimum U-plane delay (e.g., downlink (DL) and It can support requirements such as uplink (UL) less than 0.5ms each or round trip less than 1ms). Through this, the wireless communication module provides a faster and more stable communication environment and can demonstrate excellent performance in various application fields.

The antenna module may perform a signal or power transmission/reception function with an external device (e.g., an external electronic device). According to one embodiment, the antenna module may include a radiator antenna made of a conductor or conductive pattern formed on a substrate (eg, PCB). Additionally, the antenna module may include multiple antennas (eg, array antennas). In this case, the communication module may select an appropriate one among the plurality of antennas to select at least one antenna suitable for a particular communication method used in the communication network, such as the first network or the second network. Through these selected antennas, signals or power can be transmitted and received between the communication module and an external electronic device. Additionally, in some embodiments, in addition to the radiator, other components, such as a radio frequency integrated circuit (RFIC), may be added as components of the antenna module.

According to various embodiments, the antenna module may constitute a mmWave antenna module. In an example, a mmWave antenna module is disposed on a printed circuit board, which may be adjacent to or located on a first side (e.g., bottom side) to support a high frequency band (e.g., mmWave band), such as an RFIC. Additionally, a plurality of antennas (e.g., array antennas) capable of transmitting or receiving signals in a designated high-frequency band may be located on the second side (e.g., top or side) of the printed circuit board.

According to one embodiment, commands or data may be transmitted and received between the electronic device and an external electronic device through a server connected to the second network. The external electronic device may be the same or a different type of device than the electronic device. For example, all or part of a task to be performed on an electronic device may be executed on one or more external electronic devices. This means that when an electronic device needs to automatically perform a specific function or service, it can request the external electronic device to perform the function or service. One or more external electronic devices that receive such a request may execute the requested function or service or additional functions and services and transmit the execution result to the electronic device. The electronic device may use these results as a response to the original request or may process them further and provide them.

To this end, for example, interaction between the electronic device and an external electronic device can be achieved using technologies such as cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing. Electronic devices can provide ultra-low latency services using methods such as distributed computing or mobile edge computing. As another example, external electronic devices may include IoT devices, and servers may utilize intelligent technologies such as machine learning and neural networks. In some practical cases, external electronic devices or servers may be located in the second network. Electronic devices can be applied to intelligent services such as smart home, smart city, smart car, and healthcare based on 5G communication technology and IoT-related technology.

The server may be connected to an electronic device and provide services to the electronic device. In addition, by performing the membership registration process, the information of users who have registered as members is stored and managed, and various functions related to purchases and payments can be provided. Additionally, the server can share services among users by sharing execution data of service applications running on multiple electronic devices in real time. In terms of hardware, this server 108 has a similar configuration to a general web server or WAP server, but in terms of software, it is a program that performs various functions using languages such as C, C++, Java, Visual Basic, and Visual C. Can contain modules.

In addition, a server is generally connected to an unspecified number of clients or other servers through an open computer network such as the Internet, and is a computer system and related system that accepts requests to perform tasks from clients or other servers, derives results for the tasks, and provides them. Refers to computer software (server program). Additionally, a server can be understood as a concept that includes, in addition to server programs, various applications running within the server and various databases (DBs) built internally or externally. Therefore, the server classifies membership registration information and game-related information and data, stores and manages them in a DB, and this DB can be implemented inside or outside the server.

In addition, servers can be implemented on general server hardware based on various operating systems such as DOS, Windows, Linux, UNIX, and Macintosh, and server programs tailored to each operating system can be utilized. Representative examples include websites and IIS (Internet Information Server) used in a Windows environment, and CERN, NCSA, and Apache used in a UNIX environment. Additionally, the server may be integrated with an authentication system and payment system related to user authentication and purchase payment of the service.

The first network and the second network represent a connection structure that allows information to be exchanged between nodes such as terminals and servers, and may also refer to a network connecting servers and electronic devices. These networks include, but are not limited to, the Internet, LAN, wireless LAN, WAN, PAN, 3G, 4G, LTE, 5G, Wi-Fi, etc.

The first network and the second network may be in the form of a closed LAN or WAN, but it may be appropriate to utilize the open Internet. The Internet is an open computer network used globally and can provide various services such as TCP/IP protocol and HTTP, Telnet, FTP, DNS, SMTP, SNMP, NFS, NIS, etc. that operate at upper layers. Through this, the first network and the second network are operated in an open structure, and an environment in which various computer systems are interconnected based on the Internet can be formed.

A database is a general data structure implemented on a computer system's storage device (hard disk or memory) and can be managed through a database management system (DBMS). A database can take the form of data storage that allows various operations to be freely performed, such as searching, deleting, editing, and adding data. From relational database management systems (RDBMS) such as Oracle, Infomix, Sybase, and DB2 to object-oriented database management systems (OODBMS) such as Gemstone, Orion, and O2. , and can be implemented according to the purpose by using XML native databases such as Excelon, Tamino, and Sekaiju, and can be implemented according to the purpose by appropriately utilizing fields or elements. can be performed.

Figure 2 is a diagram showing the configuration of a program according to one embodiment.

2 is a block diagram illustrating a program according to various embodiments. According to one embodiment, the program may include an operating system, middleware, or an application executable on the operating system for controlling one or more resources of the electronic device. The operating system may include, for example, AndroidTM, iOSTM, WindowsTM, SymbianTM, TizenTM, or BadaTM. At least some of the programs may be preloaded into the electronic device, for example, during manufacturing, or may be downloaded or updated from an external electronic device (e.g., an electronic device or a server) when used by a user. All or part of the program may include a neural network.

An operating system may control the management (e.g., allocation or reclaim) of one or more system resources (e.g., process, memory, or power) of the electronic device. The operating system may additionally or alternatively include one or more driver programs for driving other hardware devices of the electronic device.

Middleware can provide various functions to an application so that functions or information provided from one or more resources of an electronic device can be used by the application. According to one embodiment, middleware may dynamically delete some existing components or add new components. According to one embodiment, at least part of the middleware may be included as part of the operating system or may be implemented as separate software different from the operating system.

In this specification, neural network, neural network, and network function may be used with the same meaning. A neural network may consist of a set of connected computational units, which are also commonly referred to as “nodes.” Nodes can also be called neurons. A neural network can consist of at least two or more nodes. These nodes or neurons may be interconnected through one or more “links”.

Within a neural network, when two or more nodes are connected by links, a relationship between relative input nodes and output nodes can be formed. The concepts of input node and output node are relative, and one node may serve as an output node in a relationship with another node, and at the same time, it may serve as an input node in a relationship with another node. The relationship between input nodes and output nodes can be created around links. One input node can be connected to one or more output nodes through a link, and vice versa.

In a relationship where the input node and the output node are connected through one link, the output node can determine a value based on the input data. At this time, the nodes connecting the input node and the output node may have weights. Weights are variable and can be adjusted by the user or algorithm to allow the neural network to perform the desired function. For example, when one output node is connected to several input nodes through respective links, the output node can determine the output value by considering the input value and the weight of the link corresponding to the input nodes.

As described above, a neural network consists of interconnected nodes and links connecting them. The characteristics of the neural network can be determined according to the number of nodes and links within this network, and the weight value assigned to each link. For example, if there are two neural networks with the same number of nodes and links but different weight values between the links, the two neural networks may be recognized as having different characteristics.

The embodiments described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, and a field programmable gate (FPGA). It may be implemented using one or more general-purpose or special-purpose computers, such as an array, programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may execute an operating system (OS) and one or more software applications that run on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a single processing device may be described as being used; however, those skilled in the art will understand that a processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are possible.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. Software and/or data may be used on any type of machine, component, physical device, virtual equipment, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

Although the embodiments have been described with limited drawings as described above, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the following claims.

Claims (14)

In electronic devices,
memory; and
A processor connected to the memory; Including,
The processor,
Receive the first student academic information for the first student from the administrator terminal,
Based on the first student's academic information, derive information on currently available universities that can be accepted with the first student's current grades,
Generating first improvement information to improve grades in order for the first student to be accepted to the desired university and major,
Transmitting the first improvement information to the manager terminal,
The first student academic information is,
First grade information including mock test answer information, mock test score information, and school grade information for the first student, and
Contains first desired information including first university information and first major information desired by the first student,
The processor,
Based on the first grade information, generate first grade location information indicating where the grades of the first student are distributed in the overall student grade distribution chart generated from the grades of all students,
Referring to the first DB containing information on grades for acceptance according to all universities and majors, deriving the first possible university information and the first possible major information based on the first grade location information,
Derive the current available university information to include the first possible university information and the first possible major information,
The processor,
In order to derive the first possible university information and the first possible major information,
Derive the remaining period between the current point and the final point at which the first student's grade is preset to be finally confirmed,
Generating second grade position information based on the remaining period and the preset grade improvement curve,
With reference to the first DB, the university and major corresponding to the second grade location information are derived from the first possible university information and the first possible major information,
The processor,
Based on the second grade information for all students, the first average grade increase during the preset evaluation period is derived,
Deriving third grade information for the second student included in the upper range preset in the total student grade distribution chart and fourth grade information for the third student included in the preset lower range in the total student grade distribution chart,
Deriving the second average grade increase during the evaluation period based on the third grade information and fourth grade information,
Setting the grade improvement curve representing the relationship between grade points and period based on the first average grade increase and the second average grade increase,
The performance improvement curve is,
It is derived from the equation below,

S refers to the above grade score, P refers to a period divided into preset sections, PS refers to the perfect score of the above grade score, and a refers to the first average grade increase rate of all students during the above evaluation period. means,
b means the second average grade increase rate of the second and third students during the above evaluation period,
The first average grade increase rate is,
It is derived from the equation below,

n_0 means the number of all students, EP means the evaluation period, ΔS1_k means the first grade increase of the kth student among all students during the evaluation period,
The second average grade increase rate is,
It is derived from the equation below,

n_1 means the number of the second student, n_2 means the number of the third student, ΔS2_i means the second grade increase range of the ith second student among the second students during the evaluation period, ΔS3_j means the third grade increase of the jth third student among the third students during the evaluation period,
The processor,
Referring to the first DB, deriving a first target grade corresponding to the first university information and the first major information,
Generating third grade location information indicating where the first target grade is distributed in the overall student grade distribution chart,
Generating the first improvement information based on the difference between the second sexual location information and the third sexual location information,
The processor,
Generating the first improvement information only when the difference between the second sexual location information and the third sexual location information exceeds a preset threshold difference,
If the difference between the second sexual location information and the third sexual location information is less than the threshold difference, the first improvement information is not generated,
The processor,
When generating the first improvement information,
Derive the first subject standard score, which means the standard score for each subject, based on the mock test score information of the first student,
Based on the first target grade, a second subject standard score, which means the standard score for each subject, is derived,
By comparing the first subject standard score and the second subject standard score,
Extract subjects requiring improvement from subjects,
The first improvement information is generated by extracting a preset number of problems corresponding to the subject requiring improvement from the second DB, which contains problems classified by subject and sub-item composing the subject, as many as the preset number of improvement problems. do,
The processor,
Based on the mock test answer information, the average correct answer rate for each sub-item for the subjects requiring improvement is derived,
For the subjects requiring improvement, the number of improvement problems is allocated to each sub-topic in proportion to the average correct answer rate for each sub-topic, thereby deriving the number of problems assigned to the table of contents,
Extract problems corresponding to each detailed table of contents from the second DB as many as the number of problems assigned to the detailed table of contents,
The first improvement information is derived by collecting the extracted problems as many as the number of problems assigned to the detailed table of contents for each sub-topic,
The number of problems assigned to the detailed table of contents for the detailed table of contents is,
It is derived from the equation below,

N_m means the number of problems assigned to the table of contents for the m-th table of contents, tn means the total number of tax tables corresponding to the subject requiring improvement, CAR_m means the average correct answer rate for the m-th table of contents, , N_total refers to the number of improvement problems, and ROUND refers to a function that rounds to an integer,
The average correct answer rate is,
It is derived from the equation below,

NQ_m refers to the number of mock tests in which questions corresponding to the mth table of contents were asked among the mock tests taken by the first student based on the first grade information, and c_m,l is the mth table of contents presented in the lth mock test. means the number of problems corresponding to, and d_m,l means the number of problems that the first student answered correctly based on the first grade information among the problems corresponding to the mth detailed table of contents presented in the lth mock test. An electronic device, characterized in that:
delete delete delete delete delete delete delete delete delete delete memory; and
A processor connected to the memory; Performed by an electronic device comprising,
In the method of providing a customized learning direction setting service for students' academic achievement,
First grade information including mock test answer information, mock test score information, and school grade information for the first student from the administrator terminal, and
Receiving first student academic information including first desired information including first university information and first major information desired by the first student;
Deriving information on currently available universities where the first student can be accepted based on the first student's current grades based on the first student academic information;
Generating first improvement information for improving grades in order to be accepted to the university and major desired by the first student;
Transmitting the first improvement information to the manager terminal;
Based on the first grade information, generating first grade position information indicating where the grades of the first student are distributed in the overall student grade distribution chart generated from the grades of all students;
Referring to a first DB containing information on grades for acceptance according to all universities and majors, and deriving first possible university information and first possible major information based on the first grade location information; and
Deriving the currently available university information to include the first possible university information and the first possible major information; Including,
The step of deriving the first possible university information and the first possible major information is,
Deriving the remaining period between the current point in time and the final point in time at which the first student's grade is preset to be finally confirmed;
Generating second grade position information based on the remaining period and a preset grade improvement curve; and
Referring to the first DB, deriving the university and major corresponding to the second grade location information as the first possible university information and the first possible major information; Including,
How to provide a customized learning direction setting service for students’ academic achievement:
Deriving a first average grade increase during a preset evaluation period based on second grade information for all students;
Deriving third grade information for a second student included in a preset upper range in the total student grade distribution chart and fourth grade information for a third student included in a preset lower range in the total student grade distribution chart;
Deriving a second average grade increase during the evaluation period based on the third grade information and fourth grade information; and
setting the grade improvement curve representing a relationship between grade points and a period based on the first average grade increase and the second average grade increase; It further includes,
The performance improvement curve is,
It is derived from the equation below,

S refers to the above grade score, P refers to a period divided into preset sections, PS refers to the perfect score of the above grade score, and a refers to the first average grade increase rate of all students during the above evaluation period. means,
b means the second average grade increase rate of the second and third students during the above evaluation period,
The first average grade increase rate is,
It is derived from the equation below,

n_0 means the number of all students, EP means the evaluation period, ΔS1_k means the first grade increase of the kth student among all students during the evaluation period,
The second average grade increase rate is,
It is derived from the equation below,

n_1 means the number of the second student, n_2 means the number of the third student, ΔS2_i means the second grade increase range of the ith second student among the second students during the evaluation period, ΔS3_j means the third grade increase of the jth third student among the third students during the evaluation period,
How to provide a customized learning direction setting service for students’ academic achievement:
Referring to the first DB, deriving a first target grade corresponding to the first university information and the first major information;
generating third grade location information indicating where the first target grade is distributed in the overall student grade distribution chart;
Generating the first improvement information based on a difference between the second sexual location information and the third sexual location information; and
The first improvement information is generated only when the difference between the second grade location information and the third grade location information exceeds a preset threshold difference, and the difference between the second grade location information and the third grade location information is not generating the first improvement information if the threshold difference is less than or equal to the threshold difference; It further includes,
The step of generating the first improvement information is,
Deriving a first subject standard score, which means a standard score for each subject, based on the mock test score information of the first student;
Deriving a second subject standard score, which means a standard score for each subject, based on the first target grade;
Comparing the first subject standard score and the second subject standard score to extract a subject requiring improvement from among the subjects; and
The first improvement information is generated by extracting a preset number of problems corresponding to the subject requiring improvement from the second DB, which contains problems classified by subject and sub-item composing the subject, as many as the preset number of improvement problems. steps; Including,
How to provide a customized learning direction setting service for students’ academic achievement:
Deriving an average correct answer rate for each sub-item for the subject requiring improvement based on the mock test answer information;
For the subject requiring improvement, allocating the number of improvement problems to each sub-topic in proportion to the average correct answer rate for each sub-topic to derive the number of problems assigned to the table of contents;
Extracting problems corresponding to each detailed table of contents from the second DB as many as the assigned number of problems in the detailed table of contents; and
deriving the first improvement information by collecting problems extracted as many as the number of problems assigned to the detailed table of contents for each sub-topic; It further includes,
The number of problems assigned to the detailed table of contents for the detailed table of contents is,
It is derived from the equation below,

N_m means the number of problems assigned to the table of contents for the m-th table of contents, tn means the total number of tax tables corresponding to the subject requiring improvement, CAR_m means the average correct answer rate for the m-th table of contents, , N_total refers to the number of improvement problems, and ROUND refers to a function that rounds to an integer,
The average correct answer rate is,
It is derived from the equation below,

NQ_m refers to the number of mock tests in which questions corresponding to the mth table of contents were asked among the mock tests taken by the first student based on the first grade information, and c_m,l is the mth table of contents presented in the lth mock test. means the number of problems corresponding to, and d_m,l means the number of problems that the first student answered correctly based on the first grade information among the problems corresponding to the mth detailed table of contents presented in the lth mock test. A device method for providing a customized learning direction setting service for students' academic achievement, characterized in that:
A computer program combined with hardware and stored on a computer-readable recording medium to execute the method of claim 12.
A computer-readable recording medium storing a computer program combined with hardware to execute the method of claim 12.

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