KR102242484B1 - Method for Providing College Early Admission Preparing Service and System Thereof - Google Patents

Abstract

The present invention relates to a method, a system, and a computer-readable medium for providing a college entrance exam preparation service using machine learning, and in more detail, an assessee photographs an online interview image for a question set by an institution to be supported. , Provides feedback using machine learning for the video of the person to be evaluated, and provides a preparatory service for college admission using machine learning that allows the person to first check the automatic evaluation of their interview video, and then submit the interview video to the institution. It relates to methods, systems and computer-readable media.

Description

{Method for Providing College Early Admission Preparing Service and System Thereof}

The present invention relates to a method and system for providing a college entrance exam preparation service, and in more detail, by providing a college entrance exam preparation service to students through a network using a machine-learned evaluation model and an expert, Regardless, it relates to a method and system for providing a college entrance exam preparation service that can provide a consulting service for high-level college entrance exam preparation at low cost.

The college entrance examination was implemented in 1997 with the abolition of Seoul National University under the consensus that the SAT was in the wake of the Kim Young-sam administration's government.

The first occasion, the 1997 school year, was conducted in 1996, and in the early stages of its introduction, 1.4% was selected from time to time, so it was almost meaningless. Then, as Minister of Education Lee Hae-chan, who was the real-life minister during the Kim Dae-jung administration, pursued a full-fledged, untested university admission reform (refer to Lee Hae-chan's generation), the proportion increased significantly from time to time.

In addition, in the early days, most of the cases only looked at naeshin, like the current subject screening, but since the 2002 college admissions screening, areas other than naeshin have increased. In addition, in accordance with the'Proposal to improve the university admission system after 2008 for normalization of school education' announced in October 2004 by the Ministry of Education and Human Resources Development, not only academic achievements but also various screening materials are evaluated to evaluate the potential and quality of students and decide whether to enroll. The admissions control system was introduced, and the admissions control system led to the comprehensive screening of the student department.

Even during the Roh Moo-hyun administration, as the education policy that placed importance on occasional continued, its proportion increased further and more than 50% was selected as occasional screening. It has reached almost 80%.

Currently, such occasional screening consists of student department subject screening, student department comprehensive screening, and essay test, aptitude test, and practical test. Based on reading activity status, subject learning development status, behavioral characteristics, and general opinion), teacher recommendation letter, and interview, professors and admissions officers evaluate through a qualitative evaluation method to determine whether the student has passed the screening process.

However, in reality, it is difficult for individual students to prepare for such occasional screening, and only students with parents with economic power in some wealthy areas such as the Gangnam area are preparing more easily through expensive consulting through experts. In the case of local students or students who do not receive expensive consulting, they cannot compete fairly in the occasional screening.

On the other hand, the interview is generally composed of the interviewer who is evaluated through the interview and the interviewer who evaluates the interviewer, and proceeds with the interviewer's questions and the interviewer's answers, and consists of a comprehensive evaluation of all questions and answers.

The purpose of the interview is to grasp the interviewee's hard skills such as professional knowledge, expertise or information literacy, as well as soft skills such as the interviewer's attitude and communication ability through questions and answers. .

On the other hand, many students are preparing for interviews to pass the ad-hoc screening, but it is difficult to provide objective evaluation results. In particular, in the case of soft skills, only evaluators who have experience as various interviewers can make the correct evaluation. Also, in reality, it is difficult to point out the soft skills of others offline.

In addition, soft skills are areas that are judged differently according to the interviewer's subjective experience and intuition, and evaluation criteria and evaluation methods may vary depending on the interviewer. There is a problem in that it is difficult to objectively evaluate the interviewer's soft skills by the evaluation method that varies depending on the subjectivity of the interviewer.

In addition, in the case of soft skills, various factors exist, and a method of providing results for them is also very important. It is not simply extroverted or introverted, but it is necessary for the interviewer to be able to grasp in detail what he lacks overall. In addition, it is necessary to determine at what point during the interview there was a deficit, but there is no prior art in the case of providing such a service.
Specifically, among the conventional technologies as described above, Korean Patent Publication No. 10-2016-0008273 ("Method of providing online education service of an online education service providing server", published on January 22, 2016) describes how to write a self-introduction. A method of providing educational services to Korea is disclosed, but this is only providing educational services limited to the self-introduction letter, which is one element of the occasional screening, and services for other elements (interview, student department) included in the occasional screening. In this case, since the user has to use a separate service, it is difficult to manage the elements required for occasional screening in an integrated manner, and there is a problem that additional costs are required.

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Korean Patent Publication No. 10-2016-0008273 (Method of providing online education service of online education service providing server, published on January 22, 2016)

The present invention provides a consulting service for high-level college entrance exam preparation at low cost regardless of region by providing a college entrance exam preparation service to students through a network using machine-learned evaluation models and experts. Its purpose is to provide a method and system for providing preparatory services for college entrance exams.

In order to solve the above problems, the present invention is a method of providing a college entrance exam preparation service performed in a service server, wherein the service server is a member terminal that can be used by students preparing for college or their agent An expert terminal, which can be used by experts who perform professional consulting on the subject, can access, receives student information of the student from the member terminal, transmits the student information to the expert terminal, and receives student feedback information from the expert terminal. And a student wealth management step of providing the student volume feedback information to a member terminal; And derive an automatic evaluation result based on an evaluation model that is stored in the service server or accessible to the service server with respect to the interview image information received from the member terminal, and transmits the interview image information to the expert terminal. It provides a method for providing a college entrance examination preparation service comprising; receiving an interview image feedback from a terminal, and providing an evaluation result including the automatic evaluation result and the interview image feedback to the member terminal.

In some embodiments of the present invention, the step of managing the student department includes: receiving image data for a student department document from a member terminal; Receiving additional information related to the student department including text data from the member terminal; Receiving an expert feedback request from a member terminal; Receiving student volume feedback information from an expert terminal; And providing the student volume feedback information to the member terminal.

In some embodiments of the present invention, in the process of receiving student record information in the student register management step, the display screen on the member terminal is capable of uploading image data for the student's student department documents or moving to an interface for uploading. Student Department image upload layer; A grade input layer that allows you to enter the grades of the student or move to the input interface; And an additional information input layer capable of entering or moving to an interface through which additional information related to the student department including text data of the corresponding student can be input.

In some embodiments of the present invention, the student department management step includes an additional information receiving step of receiving additional information related to the student department including text data from a member terminal, wherein the additional information related to the student department includes two or more detailed additional information. And, the receiving of the additional information comprises: receiving an input for the at least two detailed additional information from the member terminal; Providing the two or more detailed additional information input to the member terminal through a first display method; Receiving a record request from the member terminal; And providing the at least two detailed information to the member terminal in a second display method.

In some embodiments of the present invention, a method of providing a college admissions admission preparation service may further include a self-introduction letter management step of providing self-introduction-related data at the request of the member terminal.

In some embodiments of the present invention, the interview management step includes: providing question information to a member terminal; Receiving an interview image from a member terminal; Storing the interview image received from the member terminal in a DB related to the service server; Deriving an evaluation result with an evaluation model including a machine-learned artificial neural network model for the interview image; And providing the evaluation result to the member terminal.

In some embodiments of the present invention, the interview management step may include providing the interview image to the expert terminal; Receiving interview image feedback information from the expert terminal; And transmitting the interview image feedback information to the member terminal.

In some embodiments of the present invention, in the process of providing the evaluation result to the member terminal in the interview management step, the display screen of the member terminal includes an image layer on which an interview image is displayed; A question layer for displaying a question about the interview image; A category layer displaying a detailed category of the evaluation result; And an evaluation result layer displaying evaluation results for the subcategory selected by the user among the subcategories.

In some embodiments of the present invention, the automatic evaluation information may include evaluation information for the entire interview image and evaluation information for each part of the interview image.

In order to solve the above problems, in one embodiment of the present invention, as a service server that provides a college entrance exam preparation service, the service server is a member terminal that can be used by students preparing for college or their agents and at any time. An expert terminal, which can be used by experts who perform professional consulting on screening, can access, receives student information of the student from the member terminal, transmits the student information to the expert terminal, and sends student volume feedback information from the expert terminal. A student department management unit receiving and providing the student volume feedback information to a member terminal; And derive an automatic evaluation result based on an evaluation model that is stored in the service server or accessible to the service server with respect to the interview image information received from the member terminal, and transmits the interview image information to the expert terminal. Provides a service server that provides a college entrance examination preparation service including; an interview management unit receiving an interview image feedback from a terminal and providing an evaluation result including the automatic evaluation result and the interview image feedback to the member terminal.

According to an embodiment of the present invention, it is possible to exert an effect that general students can receive a consulting service for high-level college entrance exam preparation at low cost regardless of region.

According to an embodiment of the present invention, the preparation service can be conveniently used from a student's point of view by providing a student's department (school life record), self-introduction, and interview preparation related to college entrance examination through an integrated platform.

According to an embodiment of the present invention, it is possible to exert an effect that professional consultants who are geographically far away can provide feedback and guidance on the occasional screening of the corresponding students.

According to an embodiment of the present invention, it is possible to achieve the effect of recording each student's preparation for admission to the student department, and managing it systematically.

According to an embodiment of the present invention, students can improve their interview skills with low cost and high efficiency by using a combination of machine-learned models and experts to prepare for an interview that was only available at high cost in offline consulting. The effect that can be made can be exerted.

According to an exemplary embodiment of the present invention, a student may exhibit the effect of being able to automatically receive not only his/her overall interview evaluation but also the interview evaluation by time or frame at low cost.

According to an embodiment of the present invention, it is possible to exert an effect that a student may be provided with evaluation information for his/her interview image in a more intuitive and analytical form.

1 schematically shows an overall operating environment of a method for providing a preparation service for college entrance exams according to an embodiment of the present invention.
2 schematically shows the internal configuration of a service server according to an embodiment of the present invention.
3 schematically shows operation steps of the home menu module according to an embodiment of the present invention.
4 schematically shows an initial display screen in a member terminal according to an embodiment of the present invention.
5 schematically shows a display screen of a member terminal when a home menu module provides progress status information to a member terminal according to an embodiment of the present invention.
6 schematically shows the operation steps of the student department management module according to an embodiment of the present invention.
7 schematically shows a display screen for uploading related data such as a student department from a member terminal according to an embodiment of the present invention.
8 schematically shows a display screen for inputting additional information in a member terminal according to an embodiment of the present invention.
9 schematically shows a detailed process of inputting additional information in a member terminal according to an embodiment of the present invention.
10 schematically shows a display screen of a member terminal in a specific step of inputting additional information in the member terminal according to an embodiment of the present invention.
11 schematically shows a display screen for checking expert feedback in a member terminal according to an embodiment of the present invention.
12 schematically shows the operation steps of the self-introduction management module according to an embodiment of the present invention.
13 schematically shows operation steps of an interview image storage unit according to an embodiment of the present invention.
14 schematically shows a display screen for selecting a question in a member terminal according to an embodiment of the present invention.
15 schematically shows the operation of the interview image evaluation unit according to an embodiment of the present invention
16 schematically shows a display screen for checking expert feedback in a member terminal according to an embodiment of the present invention.
17 schematically shows a display screen for checking an evaluation result of an interview image automatically evaluated according to a machine-learned evaluation model in a member terminal according to an embodiment of the present invention.
18 schematically shows a display screen for checking an evaluation result of an interview image automatically evaluated according to a machine-learned evaluation model in a member terminal according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and similar reference numerals are attached to similar parts throughout the specification.

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

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

In the present specification, the term "unit" or "module" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized by using two or more hardware, or two or more units may be realized by one piece of hardware. On the other hand,'~ unit' or'~ module' is not meant to be limited to software or hardware, and'~ unit' or'~ module' may be configured to be in an addressable storage medium, or one or more processors It may be configured to reproduce. Therefore, as an example,'~ unit' or'~ module' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, and properties. S, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays and variables. Components and functions provided in'~sub' or'~module' are combined into a smaller number of elements and'~sub' or'~module', or additional components and'~sub' or It can be further divided into'~modules'. In addition, components and'~ unit' or'~ module' may be implemented to play one or more CPUs in a device or a security multimedia card.

The "user terminal", "member terminal", or "expert terminal" mentioned below may be implemented as a computer or portable terminal that can access a server or other terminal through a network. Here, the computer includes, for example, a notebook equipped with a web browser, a desktop, a laptop, and the like, and the portable terminal is, for example, a wireless communication device that guarantees portability and mobility. , PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, etc. may include all kinds of handheld-based wireless communication devices. In addition, the "network" refers to a wired network such as a local area network (LAN), a wide area network (WAN), or a value added network (VAN), or a mobile radio communication network or satellite. It can be implemented with any type of wireless network such as a communication network.

1 schematically shows an overall operating environment of a method for providing a preparation service for college entrance exams according to an embodiment of the present invention.

The member terminal of FIG. 1 may correspond to the user terminal described above, and the service server 1000 corresponds to a computing device including at least one processor and at least one memory.

The member terminal may access the service server 1000 through a web browser program or may access the service server 1000 through a dedicated application.

The member terminal may log into the service server 1000 with each user's account and use the service of the service server 1000.

The expert terminal may access the service server 1000 through a web browser program or access the service server 1000 through a dedicated application.

The expert terminal may log into the service server 1000 with each user's account and use the service of the service server 1000.

The service server 1000 may be accessed by a member terminal that can be used by a student preparing for college or a student's agent, and an expert terminal that can be used by an expert who performs professional consulting on occasional screening.

Hereinafter, the configuration of the service server 1000 will be described in more detail.

2 schematically shows the internal configuration of the service server 1000 according to an embodiment of the present invention.

The service server 1000 includes a login module 1010 for managing logins of member terminals and expert terminals; A home menu module 1100 that provides a display screen or information related to the initial screen or home menu selection in the member terminal; A student register management module 1200 for receiving student information of a corresponding student from a member terminal, transmitting the student information to an expert terminal, receiving student volume feedback information from an expert terminal, and providing the student volume feedback information to a member terminal; A self-introduction letter management module 1300 for providing information related to writing a self-introduction letter to a member terminal or providing feedback information based on information received from an expert terminal for a draft self-introduction letter received from the member terminal; The interview image information received from the member terminal is stored in the service server 1000 or an automatic evaluation result is derived based on an evaluation model accessible by the service server 1000, and the interview image information is transferred to the expert terminal. An interview management module 1400 that transmits to, receives an interview image feedback from an expert terminal, and provides an evaluation result including the automatic evaluation result and the interview image feedback to the member terminal; And a DB in which data related to the operation of the home menu module 1100, the student management module 1200, the self-introduction module, and the interview management module 1400 are recorded.

The interview management module 1400 includes an interview image storage unit 1410, an interview image evaluation unit 1420, and an evaluation result providing unit 1430.

The interview image storage unit 1410 transmits one or more question information from a preset question set to a member terminal, and receives and stores an interview image obtained by responding to the question information from the member terminal.

The question information may be implemented in the form of one or more of a question text, a question voice, and a question image.

The question set may be set by the member terminal, provided by the service server 1000, or may be set or uploaded by an expert terminal for a corresponding member.

Specifically, the interview image storage unit 1410 provides information on a question list based on a question set to the member terminal, an interface for selecting a question from the member terminal, and a question according to the question information selected from the member terminal. Provides an interface that can be displayed or played in the member terminal, receives an interview image captured by a camera and a microphone provided in the member terminal from the member terminal, and stores it in a DB along with an identifier or basic information for the interview image.

Here, the question set should be interpreted as a broad concept including information on one or more questions. The question set may include common information for a plurality of questions.

The interview image evaluation unit 1420 generates automatic evaluation information for the interview image through an evaluation model using machine learning.

That is, after receiving the interview image, the service server 1000 automatically performs evaluation using an evaluation model, and generates automatic evaluation information through this. The automatic evaluation information includes comprehensive evaluation factors related to the interview including at least one of favorability, concentration, trust, vitality, composure, communication ability, eye contact, kindness, habitual use of words, and pleasure; And personality characteristics including one or more of openness, sincerity, extroversion, affinity, and neuroticism; It may include at least one of quantitative information on at least one characteristic among gaze processing, head movement, voice height, voice height, voice size, and emotion.

Preferably, the evaluation model includes at least one deep learning-based learned artificial neural network module. The evaluation model may correspond to a form in which not only the learned artificial neural network module but also the evaluation module based on a preset rule is used in combination.

In addition, the interview image evaluation unit 1420 may provide the corresponding interview image to an expert terminal and receive interview feedback information for the corresponding interview image from the expert terminal.

The evaluation result provided by the evaluation result providing unit 1430 includes an automatic evaluation result derived based on the evaluation model and interview feedback information received from the expert terminal.

The evaluation result providing unit 1430 provides the evaluation result to the member terminal based on at least one of the automatic evaluation information and the interview feedback information. Specifically, the evaluation result providing unit 1430 transmits evaluation information or data in the form of processing the evaluation information (data related to the implementation of the interface reflecting the evaluation information) to the member terminal, and a web browser of the member terminal In the application, various evaluation information is displayed according to the user's selection.

Preferably, the evaluation result providing unit 1430 includes an expert evaluation providing unit 1431 providing an evaluation result for an interview based on the expert feedback information; Comprehensive evaluation providing unit (1433), which provides comprehensive evaluation elements related to the interview including at least one of favorability, concentration, trust, vitality, composure, communication ability, glances, kindness, habitual use of words, and pleasantness; A personality characteristic providing unit 1432 providing a personality characteristic element including one or more of openness, sincerity, extroversion, affinity, and neuroticism; And a frame-by-frame analysis providing unit 1434 for providing at least one element of gaze processing, head movement, voice height, voice height, voice size, and emotion for each partial unit of the interview image.

Preferably, the evaluation information provided by the comprehensive evaluation providing unit 1433, the personality characteristic providing unit 1432, and the frame-by-frame analysis providing unit 1434 corresponds to evaluation information derived by the evaluation model, and the The evaluation information provided by the Expert Evaluation Information Department corresponds to information input by an actual expert based on the student's interview image. The evaluation information provided by the expert evaluation information unit may include one or more of text, image, video, and input information for each category.

The frame-by-frame analysis providing unit 1434 may provide characteristic evaluation information according to a partial unit of the interview image, for example, a frame, a frame section, a time, and a time section. In the term'frame-by-frame analysis providing unit 1434', it should be understood that a frame does not refer to a single frame, but refers to a partial unit of an interview image.

The DB includes message information including information about a message transmitted from a service server 1000 or an expert terminal that can be checked by a user by the home menu module 1100 or the like; Progress status information including whether or not to perform predetermined steps in the service server 1000 according to the usage history of the service server 1000 of the corresponding user; Student department information including information such as an image of his/her student department (school life record book) input by the user; Grade information including information on his/her grades entered by the user; Expert feedback information including feedback information received from an expert terminal received according to an operation of at least one of the student management module 1200, the management introduction management module, and the interview management module 1400; Interview video received from the member terminal; Automatic evaluation information derived by operation of the interview image evaluation unit 1420 with respect to the interview image; User information including other individual information of users of member terminals and expert terminals; Question information input by the administrator of the member terminal, the expert terminal, and the service server 1000; And an evaluation model used for automatic evaluation by the interview image evaluation unit 1420.

The service server 1000 shown in FIG. 2 may further include elements other than the illustrated elements, but for convenience, only elements related to the method of providing the substitutional admission preparation service according to the embodiments of the present invention are displayed. I did.

3 schematically shows the operation steps of the home menu module 1100 according to an embodiment of the present invention.

The home menu module 1100 is executed when the home menu is displayed on the member terminal after logging in through the login module 1010 of the service server 1000 in the member terminal, or the user calls the home menu from the member terminal. It can be executed as it does.

In step S10, message information is provided to the member terminal. For example, the member sends a message such as an announcement from the service server 1000, a state change according to use or input in a member terminal, a message transmitted from an expert terminal, a state change according to use or input in an expert terminal, etc. Send to the terminal.

Through this, the user of the member terminal can communicate with the administrator of the service server 1000 and an expert in charge or in charge of the service server 1000 through a single platform.

In step S11, progress status information is provided to the member terminal according to an input from the member terminal.

The user of the member terminal performs at least one of the student register management according to the above-described student management module 1200, the self-introduction management according to the self-introduction management module 1300, and the interview management according to the interview management module 1400. ) And at least one of the operation of the expert terminal, and the progress status information is based on the current status or current history of at least one of the student affairs management, self-introduction management, and interview management conducted by the user. Includes information about.

In one embodiment of the present invention, all of the student affairs management, self-introduction management, and interview management are provided through one single platform, and the step S11 provides information on individual and comprehensive progress of such management, so that the user It can exert an effect that can further improve the usability of the product.

4 schematically shows an initial display screen in a member terminal according to an embodiment of the present invention.

Preferably, FIG. 4 may correspond to an initial screen in the member terminal according to the operation of the home menu module 1100.

The display screen of FIG. 4 is a progress status layer (L10) in which the progress status is displayed or a selection interface for moving to a page for checking detailed information on the progress status is provided, and a message for checking the messages provided in step S10 of FIG. 3 It includes a layer (L11), and a menu conversion layer (L12) for selecting a menu change such as a home menu, a student menu, a self-introduction menu, an interview menu, and a more menu.

In the screen shown in Fig. 4, the home menu (L12.1) is selected in the menu conversion layer (L12), and the user includes the student menu (L12.2), the self-introduction menu (L12.3), and the interview menu (L12). .4) Or, by selecting the more menu (L12.5), you can switch to the page you want, and accordingly, each module of the service server 1000 will provide the selected function to the user through the member terminal. I can.

5 schematically shows a display screen of a member terminal when the home menu module 1100 provides progress status information to the member terminal according to an embodiment of the present invention.

FIG. 5A corresponds to a screen that intuitively shows the current progress of the user in the student affairs management process according to the operation of one or more of the member terminal, the service server 1000, and the expert terminal.

FIG. 5B corresponds to a screen that intuitively shows the current progress of the user in the self-introduction management process according to the operation of at least one of the member terminal, the service server 1000, and the expert terminal.

5C corresponds to a screen that intuitively shows the current progress of the user in the interview management process according to the operation of one or more of the member terminal, the service server 1000, and the expert terminal.

6 schematically shows the operation steps of the student management module 1200 according to an embodiment of the present invention.

In step S20, image data for the student department document is received from the member terminal. The student's document may be, for example, a document from the school life record book that a student requested to the school at the beginning of the semester and received it in a hard copy form. In step S20, the member terminal scans or photographs the document from the school life record book It may correspond to the step of transmitting image data including an image to the service server 1000. Preferably, such transmission is performed through an interface provided by a dedicated application running on the member terminal. In this specification, the image data is data of an image itself, for example, data having an extension of jpg, data in a document format including an image, for example, a file having an image such as pdf, hwp, doc, etc. It should be interpreted as a broad concept including data.

In step S21, additional information is received from the member terminal. Such additional information includes input information on grades; Or it may include input information on at least one of the awards recorded on the student's documents, creative experience activities, reading activities, subject learning development, behavioral characteristics, and general opinions.

After the student receives the Student Department documents from the school, when changes are made, it is not necessary to request and reflect them back to the school, and perform the process of receiving the documents again. This is to facilitate the convenience of inputting information of the student by inputting in (1000), and by simply individually inputting the changes including text, etc.

Preferably, the additional information includes text information.

In step S22, the service server 1000 receives an expert feedback request from a member terminal. Through steps S20 and S21, if the user of the member terminal determines that all his/her student department-related information has been entered into the service server 1000 at the present stage, and then wants to receive expert feedback, his/her member through step S22. The terminal inputs a feedback request and receives it from the service server 1000.

In step S23, the student information input in steps S20 and S21 is provided to the expert terminal of the expert who will provide feedback on the corresponding student.

In step S24, student volume feedback information is received from the expert terminal. The student volume feedback information may include one or more of text, audio, and video.

In step S25, the student volume feedback information is provided to the member terminal. The user can check the student volume feedback information in the member terminal, and accordingly, prepare for the student department in the future.

With the process as shown in FIG. 6, student users can efficiently and highly conveniently input their information into the service server 1000, and the expert terminal can efficiently review and provide feedback on the student. It can exert an effect.

7 schematically shows a display screen for uploading related data such as a student department from a member terminal according to an embodiment of the present invention.

In the process of receiving student record information from the service server 1000 or inputting student record information from a member terminal, the display screen on the member terminal uploads image data for the student's student department documents or moves to an interface for uploading. A possible student department image upload layer (L20); A grade input layer (L21) that can be moved to an interface for inputting or inputting grades of the student; And an additional information input layer (L22) capable of entering or moving to an interface through which additional information related to the student department including text data of the corresponding student can be input.

The step of inputting image data, etc. through the student department image upload layer (L20) may correspond to step S20 of FIG. 6, and grades or grades including text through the grade input layer (L21) or the additional information input layer (L22). The step of inputting the additional information may correspond to step S21 of FIG. 6.

Preferably, by selecting the student department image upload layer L20, the user may input image data for the student department documents scanned or photographed through his or her member terminal into the service server 1000.

Preferably, by selecting the grade input layer L21, the user can input his/her grade to the service server 1000 through input of text (including numbers) for each category through his/her member terminal.

Preferably, by selecting the additional information input layer (L22), the user inputs text (including numbers) for each category through his or her member terminal, and provides information related to the student department, for example, awards, creative experience activities, reading. At least one of activity status, subject learning development status, behavioral characteristics, and comprehensive opinion may be input to the service server 1000.

8 schematically shows a display screen for inputting additional information in a member terminal according to an operation of the student management module 1200 according to an embodiment of the present invention.

8A corresponds to the display screen of the member terminal when the grade input layer L21 is selected. In (A) of FIG. 8, the user can input text, etc. for detailed categories such as subject, subject, number of units, ranking grade, number of grades, and subject average, and this is transmitted to the service server 1000.

FIG. 8B corresponds to a display screen of a member terminal when a detailed input category of the additional information input layer L22 is selected. In (B) of FIG. 8, the user inputs certification and certification acquisition information in the form of text, etc., which are transmitted to the service server 1000.

9 schematically shows a detailed process of inputting additional information in a member terminal according to an embodiment of the present invention.

The service server 1000 may provide additional information related to the student department including text data according to the input of the member terminal. This may correspond to an input from the additional information input layer L22 of FIG. 7.

Meanwhile, the additional information related to the student department may include two or more detailed additional information as in the additional information input layer L22 of FIG. 7.

In step S30, inputs for the two or more detailed additional information are received from the member terminal. For example, the user may input detailed additional information for each detailed category of the additional information input layer L22 of FIG. 7.

Thereafter, in step S31, the service server 1000 provides the two or more detailed additional information input to the member terminal in a first display method, and/or in the member terminal, the detailed additional information is shown in a first display method. .

The first display method is a method in which some or all of the detailed additional information input for each detailed category in the form and in the additional information input layer L22 of FIG. 7 is displayed, and the user adds details through temporary storage, etc. You can enter information.

After the user inputs one or more detailed additional information that he/she wishes to input, the user makes a request to record it as in step S32. Preferably, such a record request may be transmitted to the service server 1000 as shown in FIG. 9, but in another embodiment of the present invention, such a record request may be processed only by an application executed in the member terminal. The record request in the present specification may correspond to the concept of preliminary storage of previously input detailed additional information, not the same input as in step S30, which is preferably distinguished from step S22 of FIG. 6, but step S22 and It can also be performed in an integrated form.

In step S33, the service server 1000 provides the two or more detailed additional information input to the member terminal in a second display method, and/or in the member terminal, the detailed additional information is shown in a second display method.

The second display method corresponds to a method in which a graphic element indicating that one or more detailed additional information input by a user is grouped is added, and an example of this is shown in FIG. 10.

In FIG. 9, information on the first display method and the second display method is provided in a form provided by the service server 1000 to the member terminal, but as described above, such a first display method and a second display method The method may also be performed by a dedicated application executed in the member terminal alone.

10 schematically shows a display screen of a member terminal in a specific step of inputting additional information in the member terminal according to an embodiment of the present invention.

Specifically, the screen shown in FIG. 10 is a second in step S33 after a record request is made to the service server 1000 from the member terminal in step S32 of FIG. 9 or after a record request command is input in a dedicated application of the member terminal. It may correspond to a screen that displays additional information input by a display method.

The display screen shown in FIG. 10 includes the additional information integration layer L30, and the additional information input before the recording request is displayed in a grouped form on the additional information integration layer L30. For example, in FIG. 10, part or all of the input first detailed additional information is displayed on the first additional information layer L31, and part or all of the input second additional information is displayed on the second additional information layer L31. Is displayed.

Preferably, the screen displayed by step S33 of FIG. 9 includes an integrated display graphic element L33 as shown in FIG. 10. In FIG. 10, one or more detailed additional information for which a record request has been requested is displayed in the form of a clip.

11 schematically shows a display screen for checking expert feedback in a member terminal according to an embodiment of the present invention.

After steps S24 and S25 of FIG. 6, in the member terminal, the user can check the expert's feedback on the student department information inputted by the user.

As shown in FIG. 11, the expert feedback may be in a text format, but the present invention is not limited thereto, and a user can check the feedback on the student part in one or more of text, voice, and video from the member terminal.

12 schematically shows the operation steps of the self-introduction management module 1300 according to an embodiment of the present invention.

In step S40, in response to a request from the member terminal, the service server 1000 provides data related to self-introduction to the member terminal, for example, writing guides, and matters to be noted.

In step S41, the self-introduction-related data received from the member terminal can be checked.

In an embodiment of the present invention, the operation of the self-introduction management module 1300 may include only steps S40 and S41, but in another embodiment of the present invention, steps S42 to S45 may be additionally performed.

In step S42, the draft self-introduction letter created by the user in the member terminal is transmitted to the service server 1000, and in step S43, the service server 1000 transmits the received draft introduction letter to the expert terminal.

In step S44, the expert terminal transmits the self-introduction letter feedback information input by the expert to the service server 1000, and in step S45, the service server 1000 transmits the received self-introduction letter feedback information to the member terminal.

13 schematically shows operation steps of the interview image storage unit 1410 according to an embodiment of the present invention.

In steps S50 to S52, question information is provided from the service server 1000 to the member terminal. Question information should be interpreted in a broad concept including a list of questions and detailed information about the question. The detailed process of providing the question information is not limited to the process of steps S50 to S52 below.

In step S50, the service server 1000 provides a question list to the member terminal. The question list may be set by an administrator of the service server 1000, a user of a member terminal, and a user of an expert terminal.

In step S51, the user selects a question from the received question list in the member terminal and provides information about the question to the service server 1000.

In step S52, the service server 1000 provides detailed question information on the selected question to the member terminal.

Thereafter, in step S53, the user shoots an interview image for the question through the member terminal, and transmits the interview image to the service server 1000 through step S54.

Thereafter, in step S55, the service server 1000 stores the received interview image, and in step S56, the interview image evaluation is automatically evaluated through the evaluation model to generate automatic evaluation information. Specifically, in step S55, a step of deriving an evaluation result with an evaluation model including an artificial neural network model machine-learned with respect to the interview image is performed.

In step S57, an automatic evaluation result is provided to the member terminal according to a request from the member terminal, and the member terminal displays the received automatic evaluation result to the user.

Steps S55 to S58 are a process of deriving automatic evaluation information for the interview image uploaded by the user through an evaluation model and providing it to the member terminal. Through this, the user can receive an objective interview evaluation. The user may perform steps S50 to S58 a plurality of times, select an interview image judged to have a relatively good evaluation, and perform steps S59 to S63.

In step S59, the member terminal transmits to the service server 1000 a selection of an interview image desired to be evaluated by an expert and a request for feedback thereof.

Thereafter, in step S60, the interview image is provided to the expert terminal, and in step S61, the service server 1000 receives the interview image feedback information from the expert terminal. Similarly, the interview image feedback information may include one or more of text, audio, and video.

In step S62, the service server 1000 transmits the interview image feedback information to the member terminal, and in step S63, the member terminal may check the interview image feedback information.

In the present invention, the user can practice his/her interview skills while receiving evaluation for multiple interviews using the automatic evaluation model of the service server 1000, and expert feedback on the interview images reflecting the improved interview skills. You can receive. In this process, since the expert spends a minimum amount of time for interview guidance, the user can efficiently improve his or her interview skills at low cost.

14 schematically shows a display screen for selecting a question in a member terminal according to an operation of the interview image storage unit 1410 according to an embodiment of the present invention.

14A is a display screen of a member terminal displaying received questions. Here, the user may select a question, and the user's question selection may be implemented by selecting not only one question but also selecting a plurality of questions. This may correspond to the display screen of the member terminal after step S50 of FIG. 13.

In the screen of FIG. 14A, the user may additionally input question items by himself. That is, you can create your own question, take a video of it, and receive an automatic evaluation result.

14B is a display screen showing details of a question selected from the received question list. Interviews in the college admissions admission screening may require answers to specific issues or problems that are complex rather than a simple self-introduction, and FIG. 14B corresponds to a screen that displays detailed questions in the actual college admissions admissions interview. I can.

In FIG. 14B, a graphic element (top right) for recording an interview image may be displayed.

In the service server, the interview image storage unit 1410 transmits one or more question information of a preset question set to a member terminal, and receives and stores an interview image obtained by responding to the question information from the member terminal.

The question information may be implemented in the form of one or more of a question text, a question voice, and a question image.

Specifically, the interview image storage unit 1410 provides an interface in which a question according to question information is displayed or played on the terminal in the member terminal, and the interview image captured by the camera and microphone provided in the member terminal is stored in the member terminal. It is received from and stored in the DB along with the identifier for the corresponding interview image.

15 schematically shows the operation of the interview image evaluation unit 1420 according to an embodiment of the present invention.

The interview image evaluation unit 1420 of the service server 1000 analyzes the corresponding interview image using the learned evaluation model.

The interview image evaluation unit 1420 may include various evaluation modules that perform evaluation on the interview image. The evaluation module corresponds to an evaluation module that can perform evaluation based on a machine-learned evaluation model such as deep learning, or derives feature information (for example, the position of a gaze) according to a preset routine or algorithm rather than learning. And, it may correspond to an evaluation module that performs evaluation on the derived feature information.

There are a number of papers and patents regarding the technique of deriving attitudes, emotions, etc. from such images through a learned deep learning-based model, and the interview image evaluation unit 1420 of the present invention is limited to a specific method in the evaluation method It doesn't work.

In an embodiment of the present invention, the interview image evaluation unit 1420 basically receives an interview image including image information and audio information, and automatically evaluates the evaluation information through an evaluation model learned through machine learning technology such as deep learning. To derive.

Additionally, in addition to this, the interview image evaluation unit 1420 may analyze an image according to a preset rule rather than machine learning, and may derive specific evaluation values.

The evaluation modules constituting the interview image evaluation unit 1420 extract audio and video information from the video interview image and input it to each evaluation module to derive a result value or synthesize the voice and video information and input it to the evaluation module. You can also derive the result.

Preferably, the evaluation module of the interview image evaluation unit 1420 using the evaluation model according to an embodiment of the present invention infers whether a speaking state through the shape of the mouth, and considers this, a model for evaluating the subject of the interview image. It can also be included. Specifically, the specific evaluation module of the biased image evaluation unit separately detects the mouth-shaped part of the face included in the interview image, and whether or not it is in a state of speaking using artificial neural network technology including temporal concepts such as RNN, LSTM, and GRU. It can be configured to include a model that distinguishes between and to automatically adjust to what extent the weights for video and audio information will affect the evaluation based on this information, and the model can also be trained on such weights. Configurable.

In other words, in such a configuration, if the interviewee or speaker is not speaking through the shape of the mouth in the interview image, the video information is automatically processed more importantly (relatively higher weight is given than the normal state) and the audio information is made less important. Can be processed (with a relatively lower weight than the normal state).

Preferably, the evaluation model used in the interview image evaluation unit 1420 is different according to the user account of the member terminal and/or the expert account of the expert terminal providing expert feedback for the member terminal, or It can be selected by the user or the user of the expert terminal.

Preferably, the interview image evaluation unit 1420 may include a module for extracting a plurality of location information of the user's gaze in a plurality of frames of the interview image, through which the evaluation result providing unit 1430 Accordingly, the member terminal can provide information on the location of the gaze and the movement of the gaze.

Preferably, the interview image evaluation unit 1420 may include a module for extracting the movement of the user's head in a plurality of frames of the interview image, through which the evaluation result providing unit 1430 It can provide information about head movements.

Preferably, the interview image evaluation unit 1420 may include a module for extracting sound characteristic values of voice, such as voice height and voice level, in a plurality of frames of the interview image, through which the evaluation result providing unit In accordance with (1430), information about the voice can be provided from the member terminal.

Preferably, the interview image evaluation unit 1420 may include a module for extracting the strength of emotion elements for each section of the interview image, and through this, the evaluation result providing unit 1430 provides information on emotion in the member terminal. Can provide. In this case, an evaluation module based on the artificial neural network learned by the deep learning may be used.

16 schematically shows a display screen for checking expert feedback in a member terminal according to an operation of the evaluation result providing unit 1430 according to an embodiment of the present invention.

In the process of providing the evaluation result to the member terminal in the interview management step, the display screen of the member terminal includes an image layer (L40) on which an interview image is displayed; A question layer (L41) for displaying a question or information on a question about the interview image; A category layer (L42) for displaying a detailed category of the evaluation result; And an evaluation result layer L43 for displaying evaluation results for the subcategory selected by the user among the subcategories.

Preferably, a corresponding interview image may be reproduced in the image layer L40.

Preferably, identification information, date, description information, etc. for the interview image may be displayed on the image layer L40.

In the category layer L42, the user can select two or more evaluation result categories that he/she wants to check according to an input from the member terminal, and in the evaluation result layer L43, a selected evaluation result category from among the two or more evaluation result categories. The result of automatic evaluation for is displayed.

According to the selection in the category layer (L42), evaluation results of various categories for the interview image can be displayed on the member terminal, and the expert feedback information input from the expert terminal and the automatic evaluation information automatically derived from the evaluation model are It may be displayed in the category layer L42.

The screen in the member terminal provided by the evaluation result providing step as shown in FIG. 16 is a first screen on which expert feedback information input from the expert terminal is displayed (the screen in FIG. 16), and elements for evaluation of the entire interview image. A second screen (the screen of Fig. 17 displayed by the general evaluation providing unit 1433 or the personality characteristic providing unit 1432) and a second screen displaying elements for evaluation in a partial unit of the interview image (frame 18) displayed by the star analysis providing unit 1434).

A plurality of evaluation information may be displayed in the evaluation result layer L43 of FIG. 16.

The plurality of evaluation information includes quantified values for at least one of favorability, concentration, trust, vitality, composure, communication ability, eye contact, kindness, habitual use, and pleasantness; A comprehensive evaluation score, rating information, and recommendation index based on the quantified number; And text evaluation information automatically created based on the evaluation information. Information according to expert feedback information may be included.

17 schematically illustrates a display screen for checking the evaluation result of an interview image automatically evaluated according to an evaluation model machine-learned in a member terminal according to an operation of the evaluation result providing unit 1430 according to an embodiment of the present invention. Shows.

The automatic evaluation information includes evaluation information for the entire interview image and evaluation information for each part of the interview image.

FIG. 17A is a display screen of the member terminal displaying the evaluation result provided by the comprehensive evaluation providing unit 1433 of the evaluation result providing unit 1430, and FIGS. 17B and 17C are the evaluation results. It may correspond to a display screen of a member terminal that displays an evaluation result provided by the personality characteristic providing unit 1432 of the providing unit 1430.

Detailed evaluation information that may be displayed in (B) and (C) of 17 may include quantitative or grade information on one or more personality traits among openness, sincerity, extroversion, affinity, and neuroticism.

18 schematically illustrates a display screen for checking the evaluation result of an interview image automatically evaluated according to an evaluation model machine-learned in a member terminal according to an operation of the evaluation result providing unit 1430 according to an embodiment of the present invention. Shows.

As described above, the automatic evaluation information includes evaluation information for the entire interview image and evaluation information for each part of the interview image, and FIGS. This is a display screen of the member terminal on which evaluation information for each image part is displayed.

In an embodiment of the present invention, the display element in an embodiment of the screen of the member terminal displayed by the frame-by-frame analysis providing unit 1434 of the evaluation result providing unit 1430 according to a user's input is, the interview An image layer capable of reproducing an image; A category layer for selecting two or more evaluation result categories; And an evaluation result layer that displays elements for evaluation of a partial unit of the interview image.

In one embodiment of the present invention, an interview image and an image timing element indicating the position of the time or frame of the interview image are displayed on the image layer, and the evaluation result layer corresponds to the evaluation factor according to the time or frame of the interview image. A graph element for displaying a quantified value for a graph, and a graph timing element for indicating a time or frame position of the graph element may be displayed.

Here, in the evaluation result layer, a graph of evaluation indices according to time or frame flow may be shown. Through this, you can determine whether you have consistently maintained the evaluation index as a whole, at what timing there was a problem, or at what timing whether you did well.

Here, when the image timing element changes according to an input from the member terminal, for example, when a user drags the image timing element, the graph timing element may change according to the change of the image timing element. .

Alternatively, when the graph timing element changes according to an input from the member terminal, the image timing element E1 may change according to the change of the graph timing element.

For example, when a user shows a low or uneasy evaluation index in a specific section in the evaluation result layer, the graph timing element is moved to the corresponding section. In this case, the image timing element in the image layer moves to a timing or frame position corresponding to the position of the graph timing element moved, and the user inputs the play of the image in this state, thereby Can be identified immediately.

FIG. 18A schematically shows a display screen in a member terminal according to the frame-by-frame analysis providing unit 1434 of the evaluation result providing unit 1430 according to an embodiment of the present invention.

According to the user's input, the frame-by-frame analysis providing unit 1434 of the evaluation result providing unit 1430 may provide a result for the emotional change, and the display element in the member terminal provided accordingly may be a time period or a frame period. It may include an emotion layer including a graph of emotion according to.

In the emotion layer, each emotion, for example, degree of anger, fear, surprise, etc. may be shown according to a time interval or a frame interval.

Preferably, a graph is shown in different colors for each emotion on the emotion layer, and the color of each emotion is preferably displayed.

Through the user interface as above, the user can check what emotions he or she has to others during the interview. Likewise, the user checks the frame or timing in which a specific emotion was strong or weak in the emotion layer, and a graph accordingly. When the timing element is positioned at the corresponding timing, the image timing element in the image layer automatically moves to the corresponding position, and the user simply clicks the image playback button to quickly grasp his or her appearance when a specific emotion was strong or weak. It can exert the effect that can be done.

FIG. 18B schematically shows a display screen on a member terminal according to the frame-by-frame analysis providing unit 1434 of the evaluation result providing unit 1430 according to an embodiment of the present invention. .

The automatic evaluation information derived by the above-described interview image evaluation unit 1420 may include information on the degree of movement of the user's head in a plurality of frames of the interview image.

That is, the interview image evaluation unit 1420 derives information on the degree of head movement for each frame or for a specific time period in consideration of the user's head image information.

Thereafter, according to the user's input, the frame-by-frame analysis providing unit 1434 of the evaluation result providing unit 1430 may provide the head movement result, and the display element in the member terminal provided accordingly is the evaluation result layer L43 ), the average position of the head, the average height of the head, or the degree of movement of the head according to the time interval or frame interval shown in ).

In this way, the user can check information related to the movement of the head over time through the evaluation result layer L43. In addition, if the user checks the frame or timing in which the head movement is severe in the evaluation result layer L43, and positions the graph timing element E2 at the corresponding timing accordingly, the image timing element in the image layer automatically moves to the corresponding position. After moving, the user simply clicks the video playback button, thereby exerting an effect of being able to quickly grasp his or her appearance when the head movement is severe.

FIG. 18C schematically shows a display screen on a member terminal according to the frame-by-frame analysis providing unit 1434 of the evaluation result providing unit 1430 according to an embodiment of the present invention. .

The automatic evaluation result derived by the above-described interview image evaluation unit 1420 may include a plurality of location information of the user's gaze in a plurality of frames of the interview image.

That is, the interview image evaluation unit 1420 derives information on the position of the gaze for each frame or for a specific time period in consideration of image information of the user's eyes.

Thereafter, according to the user's input, the frame-by-frame analysis providing unit 1434 of the evaluation result providing unit 1430 can provide the gaze processing result, and the display elements in the member terminal provided accordingly are shown in the evaluation result layer. It may include the position of the gaze, the amount of variation, or the degree of suitability of gaze processing according to the time section or frame section.

Preferably, the screen displayed by providing the gaze processing result may include a gaze information layer for displaying an accumulated result of gaze processing and a gaze information description layer for displaying a description of the gaze processing result.

In the gaze information layer, a plurality of graphic elements whose positions in the background layer are determined according to a plurality of positional information of the user's gaze may be superimposed and displayed in a background layer that directly or indirectly displays the center of the gaze.

In this way, the user can check the change information of the gaze over time through the evaluation result layer, and at the same time check where the gaze is located on average through the gaze information layer. In addition, if the user checks the frame or timing with severe gaze fluctuation in the evaluation result layer, and places the graph timing element at the corresponding timing accordingly, the image timing element E1 in the image layer automatically moves to the corresponding position. , By simply clicking the video playback button, the user can exert an effect of quickly grasping his or her appearance when the gaze fluctuates severely.

An embodiment of the present invention may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Further, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transmission mechanism, and includes any information delivery media.

Although the methods and systems of the present invention have been described in connection with specific embodiments, some or all of their components or operations may be implemented using a computer system having a general-purpose hardware architecture.

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that other specific forms can be easily modified without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and are not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

Claims (11)

As a method of providing a college entrance examination preparation service performed in a service server,
The service server can be accessed by a member terminal that can be used by students preparing for college or the student's agent, and an expert terminal that can be used by an expert who performs professional consulting on occasional admissions,
A student register management step of receiving student information of a corresponding student from the member terminal, transmitting the student information to the expert terminal, receiving student volume feedback information from the expert terminal, and providing the student volume feedback information to the member terminal;
Regarding the interview image information received from the member terminal, an automatic evaluation result is derived based on an evaluation model that is stored in the service server or accessible by the service server, and the interview image information is transmitted to the expert terminal, An interview management step of receiving an interview image feedback from the expert terminal and providing an evaluation result including the automatic evaluation result and the interview image feedback to the member terminal;
A self-introduction letter management step of providing data related to the self-introduction letter at the request of the member terminal; And
In accordance with the input received from the member terminal, progress status information including information on the current status of at least one of the student department management step, the interview management step, and the self-introduction document management step, which the user is proceeding with, is transmitted to the member terminal. Including; progress status information providing step provided to,
The student department management step,
Receiving image data for a student department document from the member terminal;
Receiving additional information including text data on changes in the image data from the member terminal after receiving the image data;
Receiving an expert feedback request from the member terminal;
Receiving student volume feedback information from the expert terminal; And
Including; providing the student volume feedback information to the member terminal;
In the process of providing the evaluation result to the member terminal in the interview management step, the display screen of the member terminal,
An image layer on which an interview image is displayed;
A question layer for displaying a question about the interview image;
A category layer displaying a detailed category of the evaluation result; And
Including; an evaluation result layer that displays evaluation results for the subcategory selected by the user among the subcategories,
The automatic evaluation result,
Evaluation information on the entire interview image automatically evaluated according to the machine-learned evaluation model; And
Method for providing a college entrance examination preparation service including; evaluation information for each frame or time unit of the interview image.
delete delete The method according to claim 1,
In the process of receiving the student department information in the student department management step, the display screen on the member terminal,
The student department image upload layer that can upload image data for the student's student department documents or move to the uploading interface;
And
A method of providing college entrance examination preparation services, including; an additional information input layer that can be moved to an interface through which additional information related to the student department including text data of the student can be entered or input.
delete delete The method according to claim 1,
The interview management step,
Providing question information to a member terminal;
Receiving an interview image from a member terminal;
Storing the interview image received from the member terminal in a DB related to the service server;
Deriving an evaluation result using a machine-learned evaluation model for the interview image; And
Providing the evaluation result to a member terminal; comprising, a method for providing a college entrance exam preparation service.
The method of claim 7,
The interview management step,
Providing the interview image to the expert terminal;
Receiving interview image feedback information from the expert terminal; And
Transmitting the interview image feedback information to the member terminal; further comprising, a method for providing a college entrance examination preparation service.
delete delete As a service server that provides preparation services for college entrance exams,
The service server can be accessed by a member terminal that can be used by students preparing for college or the student's agent, and an expert terminal that can be used by an expert who performs professional consulting on occasional admissions,
A student wealth management unit for receiving student information of a corresponding student from the member terminal, transmitting the student information to the expert terminal, receiving student volume feedback information from the expert terminal, and providing the student volume feedback information to the member terminal; And
Regarding the interview image information received from the member terminal, an automatic evaluation result is derived based on an evaluation model that is stored in the service server or accessible by the service server, and the interview image information is transmitted to the expert terminal, An interview management unit receiving an interview image feedback from the expert terminal and providing an evaluation result including the automatic evaluation result and the interview image feedback to the member terminal;
A self-introduction letter management unit that provides materials related to self-introduction letter at the request of the member terminal; And
According to the input received from the member terminal, the member receives progress status information including information on the current status of at least one of the steps performed by the student management unit, the interview management unit, and the self-introduction management unit performed by the user. Including; progress status information providing unit provided to the terminal,
The student department management department,
Receiving image data for a student department document from the member terminal;
Receiving additional information including text data on changes in the image data from the member terminal after receiving the image data;
Receiving an expert feedback request from the member terminal;
Receiving student volume feedback information from the expert terminal; And
Providing the student volume feedback information to the member terminal; and,
In the process of providing the evaluation result to the member terminal by the interview management unit, the display screen of the member terminal,
An image layer on which an interview image is displayed;
A question layer for displaying a question about the interview image;
A category layer displaying a detailed category of the evaluation result; And
Including; an evaluation result layer that displays evaluation results for the subcategory selected by the user among the subcategories,
The automatic evaluation result,
Evaluation information on the entire interview image automatically evaluated according to the machine-learned evaluation model; And
A service server that provides a preparatory service for college entrance examination, including; evaluation information for each frame or time unit of the interview image.

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