KR102269186B1 - Method and apparatus for providing information on college enterance - Google Patents

Abstract

The present invention provides a method for providing college entrance examination information, comprising the steps of: obtaining information related to evaluation factors of a student member and information about a desired university of the student member from a student member terminal; identifying a first mentor corresponding to the student member based on the mentor information data, information related to the evaluation element of the student member, and the desired university information of the student member; and providing information about the first mentor to the student member terminal.

Description

Method and device for providing college admission information {METHOD AND APPARATUS FOR PROVIDING INFORMATION ON COLLEGE ENTERANCE}

The present invention relates to a method and apparatus for providing college entrance examination information, and more particularly, to a method and apparatus for providing college entrance examination information using a smart device.

In the comprehensive student record screening, not only quantifiable grades such as grades, but also non-quantifiable qualitative evaluation factors recorded in the life record are evaluated comprehensively. In the era of the 4th industrial revolution, based on the social consensus that the existing infusion and memorization education is no longer effective, the proportion of student book admissions is gradually increasing.

Before the introduction of comprehensive student record admissions, students could take a simple strategy to increase quantifiable grades, such as grades and CSAT scores, in order to be accepted into the university and department of their choice. On the other hand, since the qualitative evaluation factors that cannot be quantified are comprehensively evaluated in the comprehensive student record admissions process, there is a problem that students do not have sufficient access to information on what preparations should be made to pass the university and department of their choice. There is a problem of low accessibility because there are a limited number of institutions that provide consulting related to the comprehensive admissions process and often require high costs.

In addition, from the point of view of a teacher who wants to guide students for the entrance exam, there is a problem that the workload of teachers is increased because it is necessary to collect a large amount of information in order to give advice related to the comprehensive student record screening to students.
On the other hand, Patent Publication No. 10-2018-0102785 (2018.09.18.), Registered Patent Publication No. 10-1318562 (2013.10.16.), and Patent Publication No. 10- There is 2013-0134583 (2013.12.10.).

An object of the present invention for solving the above problems is to provide a method for providing college entrance examination information.

Another object of the present invention for solving the above problems is to provide a computer-readable non-transitory storage medium for storing instructions for performing a method for providing college entrance examination information.

In accordance with an embodiment of the present invention for achieving the above object, there is provided a method for providing college entrance examination information, comprising: obtaining information related to an evaluation element of a student member and information about a desired university of the student member from a student member terminal; identifying a first mentor corresponding to the student member based on the mentor information data, information related to the evaluation element of the student member, and the desired university information of the student member; and providing information about the first mentor to the student member terminal.

Here, the information related to the evaluation element of the student member may include information related to the student member's grades and information related to the student member's life record.

Here, the information on the desired university of the student member may include at least one combination of a university name desired by the student member and a department name desired by the student member.

Here, the mentor information data includes member information of each of a plurality of mentor members, information related to evaluation elements of each of the plurality of mentor members, a combination of university names and department names passed by each of the plurality of mentor members, and the plurality of Each mentor member may include a combination of failed school names and department names.

Here, the information related to the evaluation element of each of the plurality of mentor members may include information related to the personal grades of each of the plurality of mentor members and the life records of each of the plurality of mentor members.

Here, in the step of identifying the first mentor corresponding to the student member, among the plurality of mentor members, a mentor member who has passed the university and department corresponding to the desired university information of the student member is identified as the first mentor. may include the step of

Here, the step of identifying the first mentor corresponding to the student member may include selecting, among the plurality of mentor members, a mentor member whose information related to the evaluation factor has the highest similarity to the information related to the evaluation factor of the student member. It may include identifying as a mentor.

Here, the step of providing the information on the first mentor to the student member terminal may include providing information on the comparative activity of the first mentor based on the mentor information data.

Here, the method for providing college entrance examination information includes, based on the mentor information data, a guide for extracurricular activities based on extracurricular activity information of a plurality of mentor members who have passed universities and departments corresponding to the desired university information of the student member. It may further include the step of providing to the student member terminal.

A computer-readable non-transitory storage medium according to an embodiment of the present invention, when executed by at least one processor of an electronic device, causes the electronic device to: through an input device of the electronic device, evaluation elements of a student member obtaining information related to and the desired university information of the student member; transmitting information related to the evaluation factor of the student member and information on the desired university of the student member to a server; Receiving, from the server, information about the first mentor corresponding to the student member, confirmed based on the mentor information data of the server, information related to the evaluation element of the student member, and the desired university information of the student member step; and displaying information about the first mentor. It is possible to store instructions for performing a method comprising

Here, the information related to the evaluation element of the student member may include information related to the student member's grades and information related to the student member's life record.

Here, the information on the desired university of the student member may include at least one combination of a university name desired by the student member and a department name desired by the student member.

Here, the mentor information data includes member information of each of a plurality of mentor members, information related to evaluation elements of each of the plurality of mentor members, a combination of university names and department names passed by each of the plurality of mentor members, and the plurality of Each mentor member may include a combination of failed school names and department names.

Here, the information related to the evaluation element of each of the plurality of mentor members may include information related to the personal grades of each of the plurality of mentor members and the life records of each of the plurality of mentor members.

Here, the first mentor corresponding to the student member, among the plurality of mentor members, may be a mentor member who has passed the university and department corresponding to the desired university information of the student member.

Here, the first mentor corresponding to the student member may be a mentor member whose information related to the evaluation factor has the highest similarity to the information related to the evaluation factor of the student member among the plurality of mentor members.

Here, the displaying of the information on the first mentor may include displaying the comparative activity information of the first mentor.

Here, in the method, the extracurricular activity guide based on the extracurricular activity information of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member, confirmed in the server based on the mentor information data, It may further include the step of receiving and displaying from the server.

According to the present invention, it is possible to provide information on what preparations should be made for students to pass the university and department of their choice through the comprehensive student record screening.

According to the present invention, it is possible to reduce the workload of teachers who want to guide students for entrance exams.

1 is a view for explaining a method for providing college entrance examination information according to an embodiment of the present invention.
2 is a block diagram illustrating a student member terminal for providing college entrance examination information according to an embodiment of the present invention.
3 is a block diagram illustrating a data analysis process for providing college entrance examination information according to an embodiment of the present invention.
4 illustrates an exemplary screen on which college entrance examination information is provided according to a method for providing college entrance examination information according to an embodiment of the present invention.
5A illustrates an exemplary screen on which college entrance examination information is provided according to a method for providing college entrance examination information according to an embodiment of the present invention.
5B illustrates an exemplary screen on which college entrance examination information is provided according to a method for providing college entrance examination information according to an embodiment of the present invention.
6 illustrates an operation performed in a server according to a method for providing college entrance examination information according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention. In describing each figure, like reference numerals have been used for like elements.

Terms such as first, second, A, and B may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. The term “and/or” includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being “connected” or “connected” to another component, it is understood that the other component may be directly connected or connected to the other component, but other components may exist in between. it should be On the other hand, when it is mentioned that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. In describing the present invention, in order to facilitate the overall understanding, the same reference numerals are used for the same components in the drawings, and duplicate descriptions of the same components are omitted.

1 is a view for explaining a method for providing college entrance examination information according to an embodiment of the present invention. The system 100 may include a server 110 and a student member terminal 120 . The server 110 may be a server of a subject who operates a university entrance examination information providing service. The server 110 may include a communication circuit for communicating with the student member terminal 120 . For example, the server 110 may communicate with the student member terminal 120 through a wireless network connection.

In step 130 , the server 110 may obtain information related to the evaluation element of the student member and information about the desired university of the student member from the student member terminal 120 . The student member may be, for example, a member who wants to receive college admission information.

The information related to the evaluation element of the student member may include, for example, information related to the student member's grades and information related to the student member's life record. The information related to the student member's grades may be, for example, grades and semester grades directly input by the student member using an input device of the student member terminal 120, for example, a touch screen. . Alternatively, according to one embodiment, the student member uses the camera of the student member terminal 120 to take a transcript showing the grades, and the image of the recorded transcript is information related to the student member's grades as information related to the student member's grades on the server 110 . can be sent to Alternatively, according to an embodiment, the student member uses the camera of the student member terminal 120 to take a transcript showing the grades, and from the image of the transcript photographed by the processor of the student member terminal 120 , the student member's transcript The grades may be extracted in text form and transmitted to the server 110 using the communication circuit of the student member terminal 120 .

The information related to the student member's life record book may be an image of the student member's life record book photographed using the camera of the student member terminal 120 .

The information on the university desired by the student member may include at least one combination of the name of the university desired by the student member and the name of the department desired by the student member.

In step 140 , the server 110 may identify the first mentor corresponding to the student member based on the mentor information data, information related to the evaluation element of the student member, and information about the desired university of the student member. Here, the information related to the evaluation element of the student member and the desired university information of the student member may be information received from the student member terminal 120 . When at least some of the information related to the evaluation element of the student member and the information about the desired university of the student member is not in a text format, the server 110 may convert the information into a text format. For example, the server 110 may convert non-text information into text format using OCR.

The mentor information data may be a set of data that is stored in the memory of the server 110 and includes information on a plurality of mentor members. Mentor information data may include, for example, member information of each of a plurality of mentor members, information related to evaluation elements of each of the plurality of mentor members, a combination of university names and department names passed by each of the plurality of mentor members, and the plurality of Each of the mentor members may include a combination of the failed school name and department name. The member information of each of the plurality of mentor members may be information input by each of the plurality of mentor members at the time of subscribing to the college entrance examination information providing service. Member information of each of the plurality of mentor members may include, for example, names, email addresses, IDs, and/or nicknames of each of the plurality of mentor members.

The information related to the evaluation element of each of the plurality of mentor members includes the personal scores of each of the plurality of mentor members, information related to the life record of each of the plurality of mentor members, and information related to the self-introduction letter of each of the plurality of mentor members. can do. The information related to the test scores of each of the plurality of mentor members may be, for example, grades and semester grades that are directly input by each of the plurality of mentor members.

The information related to the life record of each of the plurality of mentor members includes, for example, information indicating detailed abilities and specialties, volunteer activities, reading activities, and/or club activities displayed in the life records of each of the plurality of mentor members. can do.

In step 140 , the server 110 may identify, for example, a mentor member who has passed a university and a department corresponding to the desired university information of the student member among a plurality of mentor members as the first mentor. Alternatively, according to an embodiment, the server 110 may identify, as the first mentor, a mentor member whose information related to the evaluation factor has the highest similarity to the information related to the evaluation factor of the student member among the plurality of mentor members. have. Alternatively, according to an embodiment, the above two methods for identifying the first mentor may be used in combination. According to one embodiment, the server 110 is the most similar to the information related to the evaluation factor of the student member among the mentor members who have passed the university and department corresponding to the desired university information of the student member and the information related to the evaluation factor of the student member. A high mentor member may be identified as the first mentor. For example, the server 110 may identify, as the first mentor, a mentor member who has the most similar average grades to the student member among mentor members who have passed the university and department corresponding to the desired university information of the student member. .

The criterion for identifying the first mentor in the server 110 is not limited to the above-described example, and various information among information related to evaluation elements of student members and mentor members may be used. For example, the server 110 may identify a mentor member from the same high school as the high school the student member attends as the first mentor. In another example, the server 110 may identify a mentor member who has graduated from or attended high school in the same area as the high school the student member attends as the first mentor.

In step 150 , the server 110 may provide information about the identified first mentor to the student member terminal 120 using a communication circuit. For example, the server 110 may provide some of the confirmed member information of the first mentor to the student member terminal 120 . For example, the server 110 may provide the confirmed non-experimental activity information of the first mentor to the student member terminal 120 . Here, the extracurricular activity information may include information indicating a volunteer activity, a reading activity, and/or a club activity displayed in the life record of the first mentor. In another example, the extracurricular activity information may include information included in the self-introduction of the first mentor.

Although not shown in FIG. 1, in one embodiment, the server 110 uses a communication circuit to provide not only information about the first mentor to the student member terminal 120, but also a university and a university corresponding to the desired university information of the student member. A non-experimental activity guide based on non-experimental activity information of a plurality of mentor members who have passed the department may be provided to the student member terminal 120 . In an embodiment, the extracurricular activity guide may be at least a part of a set of extracurricular activity information of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member.

In an embodiment, the extracurricular activity guide may be information on keywords frequently found in the extracurricular activity information of a plurality of mentor members who have passed universities and departments corresponding to the desired university information of the student member. In one embodiment, the extracurricular activity guide is the analysis result of qualitative data among the information related to the extracurricular activities of a plurality of mentor members who have passed the university and department corresponding to the student member's desired university information and the evaluation element of the student member. can be derived by comparison. For example, the extracurricular activity guide is frequently found in the extracurricular activities of a plurality of mentor members who have passed the university and department corresponding to the student member's desired university information, and in the qualitative data of information related to the student member's evaluation factors. It may be provided based on keywords that do not appear.

2 is a block diagram illustrating a student member terminal for providing college entrance examination information according to an embodiment of the present invention.

The student member terminal 200 may include a display 210 , a communication module 220 , a processor 230 , and a memory 240 . Display 210 may be, for example, a touch screen display. The communication module 220 is a configuration for performing communication with other electronic devices other than the student member terminal 200 , and may include a wireless communication module and a wired communication module.

The processor 230 may execute a program command stored in the memory 240 . The processor 230 may store an execution result of a program command in the memory 240 . The processor 230 may control the operation of the display 210 and the communication module 220 of the student member terminal 200 . The processor 230 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which the methods according to the present invention are performed. Although one processor 230 is illustrated in FIG. 2 , the student member terminal 200 may include a plurality of processors 230 . In this case, the plurality of processors 230 may be implemented on one chip or a plurality of processors. It can be implemented on a single chip.

The memory 240 may be configured as a volatile storage medium and/or a non-volatile storage medium. For example, memory 240 may include read only memory (ROM) 241 and/or random access memory (RAM) 242 .

The memory 240 may store at least one instruction executed through the processor 230 . When the at least one command is executed by the processor 230, the student member terminal 200 through the input device of the student member terminal 200, information related to the evaluation element of the student member and the desired university information of the student member obtaining a; transmitting information related to the evaluation factor of the student member and information on the desired university of the student member to a server; Receiving, from the server, information about the first mentor corresponding to the student member, confirmed based on the mentor information data of the server, information related to the evaluation element of the student member, and the desired university information of the student member step; and displaying information about the first mentor. It may be possible to perform a method comprising

Here, the information related to the evaluation element of the student member may include information related to the student member's grades and information related to the student member's life record.

Here, the information on the desired university of the student member may include at least one combination of a university name desired by the student member and a department name desired by the student member.

Here, the mentor information data includes member information of each of a plurality of mentor members, information related to evaluation elements of each of the plurality of mentor members, a combination of university names and department names passed by each of the plurality of mentor members, and the plurality of Each mentor member may include a combination of failed school names and department names.

Here, the information related to the evaluation element of each of the plurality of mentor members may include information related to the personal grades of each of the plurality of mentor members and the life records of each of the plurality of mentor members.

Here, the first mentor corresponding to the student member, among the plurality of mentor members, may be a mentor member who has passed the university and department corresponding to the desired university information of the student member.

Here, the first mentor corresponding to the student member may be a mentor member whose information related to the evaluation factor has the highest similarity to the information related to the evaluation factor of the student member among the plurality of mentor members.

Here, the displaying of the information on the first mentor may include displaying the comparative activity information of the first mentor.

Here, in the method, the extracurricular activity guide based on the extracurricular activity information of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member, confirmed in the server based on the mentor information data, It may further include the step of receiving and displaying from the server.

3 is a block diagram illustrating a data analysis process for providing college entrance examination information according to an embodiment of the present invention. The information related to the evaluation element of the mentor member and the information related to the evaluation element of the student member may include information in text form and information other than in text form such as an image or pdf form. The server may convert information related to the evaluation element of the mentor member and the information related to the evaluation element of the student member, which is not in text form such as an image or pdf form, into text. For example, the server may use OCR to convert non-text information into text.

Information related to the textualized evaluation element may include quantitative data and qualitative data. Quantitative data means data that can be quantified and compared. For example, the quantitative data may include a personal grade or personal score of a mentor member or a student member. Qualitative data means data that cannot be quantified and compared. For example, the qualitative data may include data regarding non-curricular activities such as student council activities, club activities, volunteer activities, and/or reading activities. In addition, the qualitative data may include, for example, descriptions included in the personal statement.

Quantitative data does not need to go through a separate processing process in order to be included in the training dataset, whereas qualitative data undergoes an annotation operation to select a part to be included in the training dataset from among the qualitative data. The annotation process can be done automatically, for example. Alternatively, the annotation process may be performed automatically, for example, and the annotation operation may be completed based on a human input based on an automatically formed annotation result.

Among the information related to the evaluation factor of the mentor member and the information related to the evaluation factor of the student member, quantitative data and qualitative data that has undergone an annotation process may be included in the learning dataset. The training dataset may be used to confirm the above-described first mentor or to form a model for providing entrance exam information in an embodiment to be described later.

4 illustrates an exemplary screen on which college entrance examination information is provided according to a method for providing college entrance examination information according to an embodiment of the present invention. Specifically, FIG. 4 shows an exemplary screen in which analysis results for quantitative data among information related to evaluation elements of student members are provided.

On the screen of FIG. 4 , the grade, service time, and number of readings of the student member by grade may be displayed. Here, the student member's grade, service hours, and number of readings by grade may be, for example, data directly input by the student. Alternatively, in another embodiment, the grade, service hours, and number of readings by grade of the student member may be data automatically extracted from the student's photographic report card.

On the screen of FIG. 4 , the grade, service hours, and number of readings of the mentor member by grade may be displayed. Here, the mentor member may be the above-described first mentor. Alternatively, on the screen of FIG. 4 , representative values of grades, service hours, and number of readings of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member may be displayed. For example, average values of grades, service hours, and number of readings of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member may be displayed.

By receiving the screen of FIG. 4 , the student member receives the grade level, service time, number of readings and the number of readings, service hours, and grades of a plurality of mentor members who have passed the university and department corresponding to the desired university information By comparing , you can figure out how likely you are to get into the university and department of your choice.

5A illustrates an exemplary screen on which college entrance examination information is provided according to a method for providing college entrance examination information according to an embodiment of the present invention. Specifically, FIG. 5A shows an exemplary screen in which an analysis result of qualitative data among information related to evaluation elements of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member is provided.

On the screen of FIG. 5A , keywords derived as a result of analyzing qualitative data among information related to evaluation factors of a plurality of mentor members who have passed universities and departments corresponding to the desired university information of the student member may be displayed. In an embodiment, the keyword displayed on the screen of FIG. 5A may be derived based on a model formed through machine learning using the training dataset described above with reference to FIG. 3 .

5B illustrates an exemplary screen on which college entrance examination information is provided according to a method for providing college entrance examination information according to an embodiment of the present invention. Specifically, FIG. 5B illustrates an exemplary screen in which an analysis result for qualitative data among information related to evaluation elements of a student member is provided.

On the screen of FIG. 5B , keywords derived as a result of analyzing qualitative data among information related to evaluation factors of student members may be displayed. In an embodiment, the keyword displayed on the screen of FIG. 5B may be derived based on a model formed through machine learning using the training dataset described above with reference to FIG. 3 .

In the screen of FIG. 5B, qualitative data among the information related to the evaluation element of the student member and the qualitative data among the information related to the evaluation element of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member Similarity may be displayed. Alternatively, in an embodiment, the screen of FIG. 5B may indicate a similarity between qualitative data among the information related to the evaluation factor of the student member and the qualitative data among the information related to the evaluation factor of the member of the first mentor described above. Here, the similarity is the type and/or frequency of keywords derived from qualitative data among the information related to the evaluation element of the student member, the evaluation of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member It can be calculated by comparing the type and/or frequency of keywords derived from qualitative data among the information related to the element. Alternatively, the server determines the type and/or frequency of keywords derived from the qualitative data among the information related to the evaluation factor of the student member, the type and/or the keyword derived from the qualitative data among the information related to the evaluation factor of the first mentor. By comparing with the frequency, the similarity can be calculated.

According to an embodiment, the screen of FIG. 5B may include a UI element for allowing the student member to ask a question to the first mentor in relation to the qualitative data analysis result.

6 illustrates an operation performed in a server according to a method for providing college entrance examination information according to an embodiment of the present invention. Specifically, the operations shown in FIG. 6 may be performed by the server 110 described above with reference to FIG. 1 .

In step 610 , the server 110 may acquire mentor information data and mentoring data. Since the mentor information data has been described above with respect to step 140 of FIG. 1 , it will not be repeated herein. The mentoring data may be data based on mentoring results of one or more mentor members for one or more student members. For example, the mentoring data may be keywords or quantitative information extracted from a journal recorded by a mentor member consulting a student member. For example, mentoring data may include departments in which student members are interested, where student members are struggling, the self-introduction or student record preparation goal schedule established by mentor members for student members, and/or mentor members Answers to student member questions may be included.

In step 620 , the server 110 may acquire student member data. The student member data may indicate, for example, a department in which the student member wishes to progress, the student member's academic performance, and/or a portion within a personal statement or student record in which the student member wishes to seek advice.

In one embodiment, the student member terminal 120 described above with reference to FIG. 1 obtains student member data based on the input of the student member, and the server 110 receives the student member data from the student member terminal 120 . By doing so, student member data can be obtained. In another embodiment, the server 110 may obtain the student member data by extracting keywords and/or quantitative information from the data received from the student member terminal 120 . For example, when the server 110 extracts keywords and/or quantitative information from data received from the student member terminal 120 , mentoring data may be referred to.

In an embodiment, the server 110 may acquire student member data based on mentoring data associated with the student member terminal 120 .

In step 630, the server 110 may check the recommendation information corresponding to the student member data based on the mentor information data and the mentoring data. The recommendation information may include information related to reading activity, information about detailed abilities and special items, and/or information about club activities.

In an embodiment, the recommendation information may include information related to a reading activity. For example, when the student member data indicates that the grade of a specific subject of the student member is grade 4, the recommendation information may be information related to a book recommended to a grade 4 student or a book read by mentor members who were grade 4. For example, if the student membership data indicates that the student member wishes to go to a specific department, the recommendation information may be information related to a book recommended to students aspiring to that department or a book read by mentor members who have entered the department. have. For example, if student membership data indicates that a student member wishes to attend a particular university, the recommendations may relate to books recommended to students aspiring to that school or books read by mentor members who attended that school. have. For example, if the student membership data indicates that the student member is interested in classic reading, the recommendations may relate to books recommended to students who want to challenge classic reading or books read by mentor members who have shown interest in classic reading. may be information. For example, if the student member data indicates that the student member wants comfort, motivation, or instructional guidance, the recommendation information may be information for comfort, motivation, or instructional guidance. For example, if the student member data indicates that the student member wants information about the most impressive book in their life, the recommendation information may be information about the most impressive book in their life.

In an embodiment, the above-described recommendation information may further include corresponding student data. For example, information on which part of the student data the recommendation information is confirmed to correspond to may be additionally provided. For example, by indicating that a student member wishes to go to a specific department, a specific university, and that the student member is the most read book by the mentor members who went to the desired school or department, diagnose the student's condition and determine the reason for the recommendation Explain and help motivate students as to why they should read the book.

In one embodiment, the information related to the reading activity included in the above-mentioned recommendation information may include bibliographic information about the book and a book review of a mentor member who records the book in a self-introduction book or a student record. In an embodiment, the recommendation information may include an improvement plan for the student member based on the current status of the student member based on the student data and the recommendation data based on the recommendation information. For example, the improvement plan may include a reading curriculum for student members. In this case, if the student proceeds to read independently according to the reading curriculum, a reward may be provided for each progressed step. For example, the reward may be a next-level reading curriculum provision and/or motivational consulting.

In a temporary example, the recommended information may include information on specific abilities and specialties of a mentor member corresponding to a desired department or school of the student indicated in the student data, reading, and club activities. For example, the recommendation information may indicate that the newspaper clipping activity performed by the mentor member was included in the life record or self-introduction and acted favorably in advancing to a specific department or school. For example, the recommendation information may include information on which process the mentor member performed the newspaper clipping activity. For example, the recommendation information may include information about a department selection motive, such as a career path, school type, grade, inclination, etc. recommended by a mentor member who has entered a specific school or department.

In operation 640 , the server 110 may transmit the recommendation information confirmed in operation 630 to the student member terminal 120 . Thereafter, the student member terminal 120 may display the recommendation information received from the server 110 .

According to an embodiment, the server receives information about the high school the student member attends and/or the high school the student member attends from from the student member terminal, and the high school graduates and/or student members the student member attends. It is possible to provide the pass rate information on the university and department corresponding to the desired university information of high school graduates in the region to which the high school currently enrolled is included in the student member terminal.

According to an embodiment, the server may provide, to the student member terminal, data related to self-introductions and/or interviews of a plurality of mentor members who have passed the university and department corresponding to the desired university information, based on the desired university information. .

According to an embodiment, the server obtains information related to the evaluation element of the student member from the student member terminal, and provides university and/or department recommendation information for the student member based on the information related to the evaluation element of the student member to the student member terminal can be provided to For example, the server may determine that, based on the information related to the evaluation factor of the student member, the probability of acceptance when the student member applies is greater than or equal to a predetermined value, and the preference value determined based on desired university information from a plurality of student members is determined in advance. Information about a university and/or department greater than or equal to a value may be provided to the student member terminal as recommended university and/or department information.

The operation according to the embodiment of the present invention can be implemented as a computer-readable program or code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices in which data that can be read by a computer system is stored. In addition, the computer-readable recording medium is distributed in a computer system connected to a network so that computer-readable programs or codes can be stored and executed in a distributed manner.

In addition, the computer-readable recording medium may include a hardware device specially configured to store and execute program instructions, such as ROM, RAM, and flash memory. The program instructions may include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

Although some aspects of the invention have been described in the context of an apparatus, it may also represent a description according to a corresponding method, wherein a block or apparatus corresponds to a method step or feature of a method step. Similarly, aspects described in the context of a method may also represent a corresponding block or item or a corresponding device feature. Some or all of the method steps may be performed by (or using) a hardware device such as, for example, a microprocessor, a programmable computer, or an electronic circuit. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

In embodiments, a programmable logic device (eg, a field programmable gate array) may be used to perform some or all of the functions of the methods described herein. In embodiments, the field programmable gate array may operate in conjunction with a microprocessor to perform one of the methods described herein. In general, the methods are preferably performed by some hardware device.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it can be done.

Claims (10)

A method of providing college admissions information, comprising:
Each step is performed by the server,
Information related to the evaluation factor of the student member, including information related to the grades issued from the student member terminal and information related to the student member's life record, and the combination of the name of the university the student member desires and the department name the student member desires A first step of obtaining information about the desired university including at least one;
Member information of each of the plurality of mentor members, information related to the evaluation factors of each of the plurality of mentor members, a combination of university names and department names passed by the plurality of mentor members, respectively, the name of the school to which each of the plurality of mentor members failed, and Mentor information data including a combination of department names, information related to the evaluation element of the student member, and the student member's desired university information, but based on the desired university information, a mentor member who has passed the university and department corresponding to the desired university information; Among the mentor members who have the highest similarity between the information related to the evaluation factors of each of the plurality of mentor members and the information related to the evaluation factors of the student members, the evaluation factors among the mentor members who have passed the university and department corresponding to the student member's desired university information A mentor member whose information is most similar to the information related to the evaluation factor of the student member, or a mentor member who is from the same high school as the high school the student member attends, or a high school in the same area as the high school the student member attends a second step of identifying a first mentor corresponding to one of the mentor members who have graduated or enrolled in the student member;
Information on the first mentor including non-exploitation activity information in the student member terminal; and a guide to extracurricular activities based on keywords that are found in the extracurricular activity information of a plurality of mentor members who have passed the university and department corresponding to the student member's desired university information and that are not shown in the qualitative data among the information related to the student member's evaluation factors. ; And by acquiring student member data based on the mentoring data from the student member terminal, information related to the current status and reading activity of the student member, information about detailed abilities and special matters, and information about club activities are recommended. a third step of confirming and providing improvement measures;
the server receives information about a high school in which the student member attends or a high school in which the student member attends from the student member terminal; The server provides, to the student member terminal, pass rate information on universities and departments corresponding to the desired college information of high school graduates in which the student member is attending or high school graduates in the region to which the student member is attending; The server provides, to the student member terminal, data related to self-introductions or interviews of the plurality of mentor members who have passed universities and departments corresponding to the desired university information on the basis of the desired university information; The server obtains information related to the evaluation factor of the student member from the student member terminal, and provides university or department recommendation information for the student member to the student member terminal based on the information related to the evaluation factor of the student member A fourth step including; including;
information related to an evaluation element of each of the plurality of mentor members; and information related to the evaluation elements of the student member; among the textualized information related to the evaluation elements, quantitative data that can be quantified and compared and qualitative data that cannot be quantified and compared are included,
The quantitative data includes displaying a representative value or an average value related to each evaluation element of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member,
When the qualitative data is included in the training dataset, it undergoes an annotation process for selecting a part to be included in the training dataset,
The quantitative data and the qualitative data that have undergone the annotation process are included in the training dataset and used to confirm the first mentor or to form a model that has undergone machine learning to provide admission information,
As provided to the student member in the third step,
a keyword derived as a result of analyzing qualitative data using a learning dataset among information related to evaluation factors of a plurality of mentor members who have passed universities and departments corresponding to the desired university information of the student member;
The similarity or degree of comparison between qualitative data among information related to evaluation factors of student members and qualitative data among information related to evaluation factors of a plurality of mentor members who have passed universities and departments corresponding to the student member’s desired university information 1 Among the information related to the evaluation factors of the mentor member, the degree of similarity compared with the qualitative data;
The similarity compares the type or frequency of keywords derived from qualitative data among the information related to the evaluation factors of the student members and the types or frequencies of keywords derived from the qualitative data among the information related to the evaluation factors of the plurality of mentor members. A method of providing college entrance examination information, which is calculated by delete delete delete delete delete delete delete delete A computer-readable non-transitory storage medium, which, when executed by at least one processor of an electronic device, causes the electronic device to:
Information related to the evaluation factor of the student member, including information related to the grades issued from the student member terminal and information related to the student member's life record, and the combination of the name of the university the student member desires and the department name the student member desires A first step of obtaining information about the desired university including at least one;
Member information of each of the plurality of mentor members, information related to the evaluation factors of each of the plurality of mentor members, a combination of university names and department names passed by the plurality of mentor members, respectively, the name of the school to which each of the plurality of mentor members failed, and Mentor information data including a combination of department names, information related to the evaluation element of the student member, and the student member's desired university information, but based on the desired university information, a mentor member who has passed the university and department corresponding to the desired university information; Among the mentor members who have the highest similarity between the information related to the evaluation factors of each of the plurality of mentor members and the information related to the evaluation factors of the student members, the evaluation factors among the mentor members who have passed the university and department corresponding to the student member's desired university information A mentor member whose information is most similar to the information related to the evaluation factor of the student member, or a mentor member who is from the same high school as the high school the student member attends, or a high school in the same area as the high school the student member attends a second step of identifying a first mentor corresponding to one of the mentor members who have graduated or enrolled in the student member;
Information on the first mentor including non-exploitation activity information in the student member terminal; and a guide to extracurricular activities based on keywords that are found in the extracurricular activity information of a plurality of mentor members who have passed the university and department corresponding to the student member's desired university information and that are not shown in the qualitative data among the information related to the student member's evaluation factors. ; And by acquiring student member data based on the mentoring data from the student member terminal, information related to the current status and reading activity of the student member, information about detailed abilities and special matters, and information about club activities are recommended. a third step of confirming and providing improvement measures;
the server receives information about a high school in which the student member attends or a high school in which the student member attends from the student member terminal; The server provides, to the student member terminal, pass rate information on universities and departments corresponding to the desired college information of high school graduates in which the student member is attending or high school graduates in the region to which the student member is attending; The server provides, to the student member terminal, data related to self-introductions or interviews of the plurality of mentor members who have passed universities and departments corresponding to the desired university information on the basis of the desired university information; The server obtains information related to the evaluation factor of the student member from the student member terminal, and provides university or department recommendation information for the student member to the student member terminal based on the information related to the evaluation factor of the student member A fourth step including; including;
information related to an evaluation element of each of the plurality of mentor members; and information related to the evaluation elements of the student member; among the textualized information related to the evaluation elements, quantitative data that can be quantified and compared and qualitative data that cannot be quantified and compared are included,
The quantitative data includes displaying a representative value or an average value related to each evaluation element of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member,
When the qualitative data is included in the training dataset, it undergoes an annotation process for selecting a part to be included in the training dataset,
The quantitative data and the qualitative data that have undergone the annotation process are included in the training dataset and are used to confirm the first mentor or to form a model that has undergone machine learning to provide admission information,
As provided to the student member in the third step,
a keyword derived as a result of analyzing qualitative data using a learning dataset among information related to evaluation factors of a plurality of mentor members who have passed universities and departments corresponding to the desired university information of the student member;
The similarity or degree of comparison between qualitative data among the information related to the evaluation factors of the student member and the qualitative data among the information related to the evaluation factors of a plurality of mentor members who have passed the university and department corresponding to the desired university information of the student member 1 Among the information related to the evaluation factors of the mentor member, the degree of similarity compared with the qualitative data;
The degree of similarity compares the type and frequency of keywords derived from qualitative data among the information related to the evaluation factors of the student members with the types and frequencies of keywords derived from the qualitative data among the information related to the evaluation factors of the plurality of mentor members. A storage medium storing instructions for performing a method comprising:

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