Video providing method and server device

The video providing method and server device in online tutoring systems address the challenge of efficiently selecting a tutor by recommending tutor videos based on teacher and student information, enhancing the efficiency and accuracy of the selection process.

JP2025095655AActive Publication Date: 2025-06-26NOSCHOOL CO LTD
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Patent Information

Application Number
JP2023211803
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-12-15
Publication Date
2025-06-26
Estimated Expiration
2043-12-15

AI Technical Summary

Technical Problem

In online tutoring systems, students face challenges in efficiently selecting a suitable tutor from a large pool, as watching multiple self-introduction videos is time-consuming and lacks personalized recommendations.

Method used

A video providing method and server device that arrange and recommend tutor videos based on teacher information and student information, allowing for efficient selection of a tutor by changing the order of video presentation or recommending additional tutors.

Benefits of technology

Enables students to efficiently search for and select a tutor that matches their preferences, reducing the time spent on video watching and improving the accuracy of tutor selection.

✦ Generated by Eureka AI based on patent content.

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Abstract

To propose a video providing method and server device for allowing students to efficiently select tutors by themselves in an online tutoring system.SOLUTION: A video providing method for allowing viewers to select a tutor who will provide online lessons by watching a video, includes: a video providing step of arranging videos side by side, the videos containing self-introductions created for every tutor; and a video recommendation step of suggesting a video of at least one other tutor or changing the order of the videos on the basis of tutor information contained in the video viewed by a viewer or tutor information associated with the video and student information that is information on the student.SELECTED DRAWING: Figure 2
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Description

Technical Field

[0001] The present invention relates to a video providing method and a server device for providing a video including an online tutor's self-introduction.

Background Art

[0002] Conventionally, for the purposes of school lesson content, homework tutoring, exam preparation, etc., there has been an educational system in which a tutor conducts lessons at the student's home or a designated location. In the following description, when not distinguishing between a student and the student's guardian, it may be referred to as the student side. Note that generally there is a guardian for a student when the student is a minor, but since the student is not limited to being a minor, there may be cases where there is no guardian. That is, the student side may refer to only the student, only the student's guardian, or both the student and the guardian.

[0003] In a conventional tutor system, for example, when the student side looks for a tutor, the tutor is determined through the following steps. (1) The student side inquires with a tutor referral company. (2) The tutor referral company that has received the inquiry selects an appropriate tutor from the registered tutors based on the student information. (3) The tutor referral company introduces the tutor to the student side. (4) After a trial lesson by the selected tutor, the student side determines the tutor.

[0004] In such a case, it is no exaggeration to say that the student side cannot know what other teachers there are besides the tutor introduced by the tutor referral company and has no room for choice.

[0005] On the other hand, Patent Document 1 proposes a learning support service system for supporting the mediation service between a learner and a learning supporter. In this learning support service system, a learner terminal, a learning supporter terminal, and a business operator server that provides learning support information are connected via a communication network. The business operator server receives and registers the learning conditions from the learner terminal and the learning support conditions from the learning supporter terminal, collates the registered learning conditions and learning support conditions, and when both conditions are satisfied and both parties reach an agreement, provides information for learning to both parties.

Prior Art Documents

Patent Documents

[0006]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0007] In recent years, online tutoring systems in which students and teachers conduct lessons remotely via the Internet have been becoming popular. In such an online tutoring system, it is not necessary for the teacher to visit the student's home or the like. For example, it is possible for a teacher in a foreign country to give lessons to a student in Japan. In an online tutoring system, since there is no restriction on the distance between the student and the teacher, the number of tutors that the student side can choose is overwhelmingly larger than that in a conventional tutoring system.

[0008] In such an online tutoring system, it is conceivable to provide a self-introduction video introducing the tutor to allow the student side to select a tutor according to their preference. As a result, the student side can choose a tutor that they think is good from among the registered tutors according to their own will.

[0009] Here, although having a large number of tutors to choose from is a great advantage, it takes time to watch the videos. For example, if there are 100 available tutors and one video is provided for each tutor, there will be 100 videos. In such a situation, a method for efficiently finding a tutor suitable for the student is desired.

[0010] The present invention proposes a video providing method and a server device in an online tutor system that enable a student to efficiently select a tutor by themselves.

Means for Solving the Problem

[0011] The present invention is A video providing method for a viewer to select a tutor who conducts online classes by watching videos, comprising: A video providing step of arranging videos including self-introductions created for each tutor; A video recommendation step of recommending the videos of at least one other tutor or changing the order of arrangement of the videos based on the teacher information included in the videos viewed by the viewer or the teacher information associated with the videos and the student information which is the information of the student.

[0012] Also, the present invention is A server device for a viewer to select a tutor who conducts online classes by watching videos, comprising: A video providing unit for arranging videos including self-introductions created for each tutor; A video recommendation unit for recommending the videos of at least one other tutor or changing the order of arrangement of the videos based on the teacher information included in the videos viewed by the viewer or the teacher information associated with the videos and the student information which is the information of the student.

[0013] Also, the present invention is A video providing method for a viewer to select a tutor who conducts online classes by watching videos, comprising: A video providing step of arranging videos including self-introductions created by each tutor, A viewing information storage step of storing viewing information of a plurality of the videos viewed by the viewer, Based on the tutor information included in the video viewed by the viewer or the tutor information associated with the video, and the viewing information, recommending the videos of at least one other tutor, or changing the order of arrangement of the videos, a video recommendation step.

Advantages of the Invention

[0014] According to the present invention, the student side can efficiently search for a tutor. In addition, since the student side can view the self-introduction videos created by each tutor, unlike the tutor selected by the tutor of the tutoring agency, the student can select a tutor by himself / herself.

Brief Description of the Drawings

[0015]

Figure 1

Figure 2

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Figure 10

Figure 11

Embodiments for Carrying Out the Invention

[0016] Hereinafter, a video providing method according to an embodiment of the present invention will be described. FIG. 1 is a diagram showing an overall configuration example of a video providing system 10 in which the video providing method of the present invention can be realized. The video providing system 10 of the present embodiment provides a video for an online tutor (hereinafter referred to as a tutor) who conducts lessons online to introduce himself / herself to the student side. In addition, after the student side determines a tutor, the tutor can conduct lessons online via this video providing system 10. Further, when a student logs in to the video providing system 10 during self-study, the student can contact the administrator of the tutor referral company and monitor the state of self-study. Note that the students include elementary school students, junior high school students, high school students, and working adults.

[0017] The video providing system 10 includes a management server 20. The management server 20 is communicably connected to each of the student terminal 30 and the teacher terminal 40 via a communication network 50. The communication network 50 is, for example, the Internet, and is constructed by a public telephone line network, a mobile phone line network, a wireless communication path, Ethernet (registered trademark), or the like.

[0018] The student terminal 30 and the teacher terminal 40 are, for example, computers such as smartphones, tablet computers, and personal computers.

[0019] The student side can operate the student terminal 30 to access the management server 20 and view videos or receive online lessons. From the management server 20, a message from the tutor may be sent to the student terminal 30 as a chat message (hereinafter referred to as chat).

[0020] The tutor can operate the teacher terminal 40 to access the management server 20, register and update videos, or conduct online classes. From the management server 20, messages from students may be sent to the teacher terminal 40 as a chat.

[0021] The management server 20 may be a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing. The management server 20 manages the tutor's videos together with the tutor's information, or manages the tutor's information as the ownership information of the tutor's videos.

[0022] <Management Server> FIG. 2 is a functional block diagram of the management server 20. The management server 20 includes a video storage unit 21, a video providing unit 22, a viewing history storage unit 23, a video recommendation unit 24, a class information acquisition unit 25, a self-study information acquisition unit 27, an extracurricular communication acquisition unit 29, a student information storage unit 60, a teacher information storage unit 70, and the like.

[0023] The video storage unit 21 stores information about the tutor's videos (hereinafter referred to as video information). The video information includes a tutor ID indicating the tutor, and at least one video, associated with a video ID that identifies the video. The video may include only a self-introduction video in which the tutor introduces himself / herself, or may include a class video that captures the state of the class conducted by the tutor together with the self-introduction video. The class video may exist as a class video separately from the self-introduction video.

[0024] The video providing unit 22 provides videos to the student side. Specifically, the video providing unit 22 arranges and places the videos on the homepage of a tutor referral company that provides a tutoring service. Also, the video providing unit 22 plays the videos in response to requests (selections) from viewers of the homepage. The video providing unit 22 can provide additional information together with the videos. For example, the video providing unit 22 can provide, together with the videos, teacher information such as the name and / or nickname of the tutor, evaluations from the student side, proven results of passing exams (hereinafter referred to as passing results), the content of the classes offered by the tutor (course name, lesson fee, number of lesson sessions, targeted students, etc.), and the availability of the classes offered by the tutor.

[0025] FIG. 3 is a diagram showing an example of an introduction column of a tutor including a video, and FIG. 4 is a diagram showing another example of an introduction column of a tutor including a video. In the examples of FIGS. 3 and 4, the name and / or nickname of the tutor, the availability of classes, evaluations from the student side, and the video are posted in the upper part of the homepage screen. Also, teacher information such as passing results is posted in the middle part of the homepage screen, and the content of the classes offered by the tutor is posted in the lower part of the homepage screen. Also, in FIG. 4, two videos, a self-introduction video and a lesson video, are posted separately, and viewers can select and view the tutor's self-introduction video and lesson video separately.

[0026] Viewers who visit the homepage can know the temperament, personality, and individuality of the tutor by watching the video. Also, by viewing the lesson video included in the video or a lesson video posted separately from the video, they can know what the lessons are like and the atmosphere.

[0027] The video providing unit 22 arranges and places a plurality of videos configured in this way, for example, as shown in FIG. 9, so that they appear sequentially as the viewer scrolls the screen up and down on the homepage. In the example of FIG. 9, tutors A to Z are arranged in alphabetical order. The videos can be arranged side by side horizontally and are not particularly limited. Also, the order of arrangement of tutors A to Z can be appropriately selected, such as in order of evaluation or in order of newness.

[0028] Returning to FIG. 2, the viewing history storage unit 23 stores the video ID indicating the video viewed by the viewer of the homepage, the viewing time, and the total of the teacher information associated with or embedded in the viewed video. The viewing time is, for example, the playback rate of the playback time with respect to the total time of the video. If the playback rate is low, it is presumed that the tutor is not interesting to the viewer, and if the playback rate is high, it is presumed that the tutor is interesting to the viewer. For example, if it is found from the accumulation that the playback rate of tutors with the same teacher information history is high, it is presumed that the viewer values the teacher information history, and by recommending the videos of tutors with such a history, the viewer can efficiently select a tutor. Also, if it is found from the accumulation that the playback rate of male tutors in the teacher information is high, it is presumed that the viewer is looking for a male tutor, and by recommending male tutors, the viewer can efficiently select a tutor.

[0029] The video recommendation unit 24 recommends the videos of tutors that meet the wishes of the viewer (student side) from among the videos of a plurality of tutors. As shown in FIG. 9, the display method of the recommendation can be to move the videos of the tutors recommended to be easy for the viewer to notice to the upper part (first) of the screen by changing the order of arrangement as shown in FIG. 10 for the videos of the tutors arranged in alphabetical order or the like. In the example of FIG. 10, tutor C is the most recommended tutor, tutor Z is the next, and tutor F is the next recommended tutor.

[0030] Also, as shown in FIG. 11, the display method of the recommendation may be a mode in which a screen listing the videos of a predetermined number of recommended tutors (three in this embodiment) pops up. Note that these display methods of the recommendation are just examples, and at least one video of a recommended tutor may be provided to the viewer (student side) from among a plurality of self-introduction videos, and various modes can be selected.

[0031] The video recommendation unit 24 selects a tutor to be recommended based on the teacher information included in the viewed video or the teacher information associated with the viewed video, and the student information which is the information of the student. Further, in addition to these teacher information and student information, the video recommendation unit 24 may also select a tutor to be recommended based on viewing information including the cumulative total of the teacher information of the videos viewed by the viewer. Details of the recommendation method will be described later.

[0032] The class information acquisition unit 25 analyzes the state of the class when a student who has already signed a contract takes an online class to acquire class information. The class information includes the time taken to solve the problems presented during the class, the response rate / answer rate to the teacher during the class, and the like. The class information acquired by the class information acquisition unit 25 is stored in the student information storage unit 60 as the class information of the student information. The class information is preferably updated every time the student takes a class. Thereby, the latest class situation of the student and the like can be reflected.

[0033] The self-study information acquisition unit 27 acquires the state of the student during self-study as self-study information. The self-study information may acquire the self-study time, the self-study completion rate, the submission rate / assignment submission speed of the assignment given by the tutor, and the like. The self-study time is the time from the start of self-study to the end of self-study, and the self-study completion rate is the ratio of the self-study time to the set target self-study time. The assignment submission rate is the ratio of the assignments given by the tutor that the student has submitted or answered, and the assignment submission speed is the number of days required for the assignment. These may be input from the student or the tutor, or may be automatically obtained by the video providing system 10. The self-study information acquired by the self-study information acquisition unit 27 is stored in the student information storage unit 60 as the self-study information of the student information. The self-study information is preferably updated every time the student submits an assignment or conducts self-study. Thereby, the latest self-study situation of the student, the state of the student's motivation, and the like can be reflected.

[0034] The extracurricular communication acquisition unit 29 acquires, from extracurricular chats such as chats sent from students to tutors outside of class and chats sent from tutors to students outside of class, the reply rate of students' chats, the average read time which is the average response time of the tutor to messages sent by the student, the amount of extracurricular communication between students and tutors, and so on. Information regarding students' chats acquired by the extracurricular communication acquisition unit 29 is stored in the student information storage unit 60 as extracurricular information of the student information, and information regarding tutors' chats acquired by the extracurricular communication acquisition unit 29 is stored in the teacher information storage unit 70 as extracurricular information of the tutor.

[0035] The student information storage unit 60 stores, for example, the following information in association with the student ID. (Basic information) · Grade / age · School · Gender · Desired school / desired faculty · Desired qualifications · Future desired occupation / industry · Place of residence · Desired atmosphere of the teacher · Desired teaching guidelines of the teacher · Hobbies · Club activities status · Presence or absence of hope for studying abroad (Self-study information) · Self-study time · Self-study completion rate · Homework submission rate / homework submission speed (Class information) · Time taken to solve problems during class · Reply rate / answer rate to the teacher during class (Extracurricular information) · Reply rate of extracurricular chats · Amount of extracurricular communication

[0036] Among the student information, the basic information is information including at least one of the student's grade / age, school, gender, desired school / desired department, qualifications to obtain, future desired occupation / industry, place of residence, desired teacher atmosphere, desired teacher's guiding principle, hobbies, club activities, and whether there is a hope for studying abroad. When newly registering from the homepage of the private tutoring agency, it may be input by the student side, or may be input by the administrator of the private tutoring agency from the communication with the private tutoring agency.

[0037] The desired teacher atmosphere may be the same as that corresponding one-to-one with the atmosphere of the teacher information described later, or may be such that one corresponds to a plurality. Similarly, the desired teacher's guiding principle may be the same as that corresponding one-to-one with the guiding principle of the teacher information described later, or may be such that one corresponds to a plurality.

[0038] Among the student information, the class information is information including at least one of the time taken to solve problems and the response rate / answer rate to the teacher during the online class of the students who have already signed a contract (hereinafter also referred to as existing students), and is the information obtained by the class information acquisition unit 25. The student information (class information, out-of-class information) of existing students is used when newly searching for a private tutor for a subject different from the class the existing student is taking, or when newly searching for a different private tutor for the same subject as the class the existing student is taking.

[0039] Among the student information, the out-of-class information is information including at least one of the reply rate of the chat outside the online class and the amount of communication outside the class, and is the information obtained by the out-of-class communication acquisition unit 29.

[0040] At least a part of these student information is used as an element when recommending the videos of private tutors.

[0041] The teacher information storage unit 70 stores, for example, the following information in association with the teacher ID or the video ID. (Basic information) · Target subject · Target students · Gender · Atmosphere · Guidelines · Passing records (records of students being made to pass) · Current or past hobbies · Qualifications obtained / Qualifications with tutoring experience · Resume / Academic background (including undergraduate) · Work experience other than as a teacher · Study abroad experience / Overseas stay experience · Remedial classes (Class information) · Waiting time for responses from students · Question rate / Inquiry rate to students (Information outside of class) · Average read time of out-of-class chats · Amount of out-of-class communication

[0042] Among the teacher information, the basic information includes at least one or more of the target subject, target students, gender, atmosphere, guidelines, passing records, current or past hobbies, qualifications obtained / qualifications with tutoring experience, resume / academic background (including undergraduate), work experience other than as a teacher, study abroad experience / overseas stay experience, and remedial classes. It can be input after an interview between the administrator of the private tutoring agency and those who wish to register as private tutors. Note that the basic information is not limited to these and may include other information, such as the tutoring records that the private tutor has had in the past. Among the basic information, the target subject, target students, and remedial classes can be used on the first screen of the private tutoring agency's homepage shown in Figure 8 described later to narrow down private tutors by "subject", "grade", and "target type". Remedial classes include further subdivisions of subjects, specific qualifications, specific departments / disciplines, etc.

[0043] As an example, the atmosphere of the teacher information can be selected from "bright / talkative", "serious-looking / gentle", "having a sense of discipline", "having a professional feeling", "like an older brother or sister", "having something other than studying / being unique", etc.

[0044] The teaching guidelines for teacher information can be selected, for example, from "a guideline of getting along without a sense of distance and first becoming friends", "a guideline of using secret techniques and original teaching materials", "a guideline of valuing one's own personal experiences, empathizing with the students' feelings, and adapting to their pace", "a guideline of producing results immediately / taking the shortest route", "a guideline of prioritizing the establishment of the foundation first and then the results later", "a guideline of considering the establishment of self-study as the top priority", "a guideline of asking the students to follow the curriculum prepared entirely by the teacher", "a guideline of creating a sense of accomplishment of being able to do it and accumulating successful experiences (praising)", "a type of strictly managing study schedules, etc.", "a guideline of emphasizing the balance between club activities and study", etc.

[0045] Among the teacher information, the class information is information that includes at least one of the waiting time for responses from students and the question rate / query rate to students, and is the information acquired by the class information acquisition unit 25.

[0046] Among the teacher information, the out-of-class information is information that includes the average read time of out-of-class chats and the amount of out-of-class communication, and is the information acquired by the out-of-class communication acquisition unit 29.

[0047] At least a part of these teacher information is used as an element when recommending videos of tutors.

[0048] [Details of the Recommendation Method] As described above, the video recommendation unit 24 selects a tutor based on the teacher information included in the video viewed by the viewer of the homepage or the teacher information associated with the viewed video, and the student information which is the information of the student, and recommends the video of the tutor. More specifically, when a video is viewed by a viewer who has logged in to the video providing system from the homepage of the tutor brokerage company, the video recommendation unit 24 reads out the teacher information stored in the teacher information storage unit 70 from the teacher ID or video ID associated with the video ID of the viewed video, and reads out the student information stored in the student information storage unit 60 from the student ID acquired at the time of login. Then, these teacher information and student information are matched to select at least one tutor, and the video of the selected tutor is recommended to the viewer.

[0049] The video recommendation unit 24 does not need to use all of the student information stored in the student information storage unit 60 and the teacher information stored in the teacher information storage unit 70 for matching, and it is sufficient to use at least a part of the student information and teacher information for matching. For example, the video recommendation unit 24 manages a matching pair by associating one piece of information among the student information with one piece of information among the teacher information. In FIG. 2, the student information stored in the student information storage unit 60 is assigned a number of A-〇〇, and the teacher information stored in the teacher information storage unit 70 is assigned a number of B-〇〇, and those with the same number in 〇〇 are set as the matching pair.

[0050] The desired teacher atmosphere (A-19) of the student information and the teacher atmosphere (B-19) of the teacher information form a matching pair, and the teaching guidelines (A-20) of the desired teacher of the student information and the teaching guidelines (B-20) of the teacher information are matching pairs. These two matching pairs are related to the compatibility between the student and the tutor. For example, for students who prefer a bright atmosphere, a tutor who is bright and talkative can be recommended. Also, for students who prioritize the acquisition of basics rather than application problems, a tutor with teaching guidelines that prioritize the establishment of basics can be recommended. This can suppress the occurrence of situations where the contract is terminated later due to reasons such as "not compatible" or "different from the teacher I thought".

[0051] The desired school / faculty (A-14) of the student information and the passing record (B-14) of the teacher information form a matching pair. This matching pair is related to the student's desired destination (desired school, desired faculty). For students who wish to apply to a specific faculty of a certain university, a tutor with a record of successfully getting students into that faculty of that university in the past can be recommended. In addition, the teacher information's work experience / academic background (including faculty) (B-15) can also be combined with the teacher information's passing record (B-14) to form a matching pair with the student information's desired school / faculty (A-14). Instead of the passing record (B-14), the teaching record of the teacher information can also be used as a matching pair with the student information's desired school / faculty (A-14). By recommending a tutor considering the desired school / faculty of the examinee, the trust in the tutor can be increased.

[0052] Similarly, the desired qualification (A-16) of the student information and the qualification obtained / qualified for guidance experience (B-16) of the teacher information form a matching pair, and for students aiming to pass a qualification exam, a tutor who has obtained that qualification or a tutor with guidance experience for that qualification can be recommended. It can be targeted not only at examinees but also at working students.

[0053] The future desired occupation / industry of student information (A-17) and the work history other than being a tutor of teacher information (B-17) form a matching pair. This matching pair is related to the dreams and future images of students. For example, for students who want to work in the IT industry in the future, it is possible to recommend tutors who are working in the IT industry as their main job and tutoring as a side job, or tutors who have worked in the IT industry in the past. By sharing the work experience other than being a tutor of the tutor, it is possible to nurture the dreams and goals of students and promote communication between students and tutors.

[0054] The presence or absence of the hope of studying abroad in student information (A-23) and the study abroad experience / overseas stay experience of teacher information (B-23) form a matching pair. This matching pair is related to the overseas orientation of students. For example, for students who are considering studying abroad in the United States in the future, it is possible to recommend tutors who have experience studying abroad in the United States or staying in the United States. By sharing the overseas experience of the tutor, it is possible to nurture the dreams and goals of students and promote communication between students and tutors.

[0055] The extracurricular activities of student information (A-21) and the current or past extracurricular activities of teacher information (B-21) form a matching pair. This matching pair is related to the hobbies of students. For example, for students who are learning the piano, it is possible to recommend tutors who have learned or are learning the piano. Communication can be promoted by sharing hobbies beyond the scope of classes.

[0056] In addition, the video recommendation section 24 can supplementarily use a part of the student information without forming a matching pair. For example, regarding the club activity status of student information (A-22), for example, when dealing with students who are busy with club activities, the student information may be used to exclude tutors whose guiding principle is to assign a lot of homework. Also, regarding the self-study time (A-51), self-study completion rate (A-52), and homework submission rate / homework submission speed (A-53) of existing students in student information, for example, when dealing with students who take the lead in doing their homework, the student information may be used to recommend tutors whose guiding principle is to emphasize homework.

[0057] The time (A-61) taken by existing students to solve student information problems and the waiting time (B-61) for teacher information to receive responses from students form a matching pair. This matching pair is related to the time perception of students and tutors. For example, for students who take a long time to answer questions given during class, it is possible to recommend students who ensure a long waiting time for responses from students. Since the situation during class of students and tutors can only be obtained through an online tutoring system, by utilizing this information, it is possible to recommend a tutor suitable for the student.

[0058] The response rate / answer rate (A-62) of student information to teachers and the question rate / query rate (B-62) of teacher information to students in existing students form a matching pair. This matching pair is related to the way of using time during class. For example, for students who are not good at solving problems during class, it is possible to recommend tutors who do not ask questions or ask few questions to students during class.

[0059] In the online tutoring system, communication can be carried out between students and tutors via chat even outside of class. For example, students can confirm homework and ask questions, and tutors can answer them. The response rate (A-71) of student information for out-of-class chat and the average read time (B-71) of teacher information for out-of-class chat form a matching pair, and the communication volume (A-72) of student information for out-of-class and the communication volume (B-72) of teacher information for out-of-class form a matching pair. For example, for students who want to actively communicate outside of class, it is possible to recommend tutors who respond quickly and / or tutors who work as tutors as their main occupation.

[0060] Next, the flow of the video providing method will be described with reference to FIGS. 5 to 7. First, viewers such as the guardians of students seeking a tutor access the homepage of the tutor referral company (S1). The first screen (for example, the top screen) of the tutor referral company's homepage is configured to allow selection of a tutor for each subject, grade, and target, as shown in FIG. 8, for example. Also, on the first screen of the homepage, for example, in the upper right corner, there are arranged a login button for already registered viewers to log in and a new registration button for viewers to register anew.

[0061] Returning to FIG. 5, existing students or viewers who have already completed registration can log in from the homepage (YES in S2). When logging in, the video recommendation section 24 acquires student information from the student information storage section 60 (S3). Here, for example, a viewer seeking an English tutor selects English from the first screen of the homepage shown in FIG. 8. Then, the screen of the student terminal 30 switches from the first screen shown in FIG. 8 to the second screen shown in FIG. 9, and English tutors are displayed, for example, in alphabetical order. Here, the viewer can scroll the screen, view the teacher information of each tutor, and play and watch the tutor's video.

[0062] When the viewer watches the video of one tutor (YES in S4), the video recommendation section 24 makes video recommendations based on the student information and the teacher information of the watched video (S5). The video recommendation section 24 selects, for example, tutors with the same passing record among English tutors based on the passing record of the teacher information of the tutor watched by the viewer, and further recommends an appropriate tutor from any of the matching pairs.

[0063] For example, the video recommendation section 24 selects a tutor who has the "atmosphere" (B-19) of the tutor information that matches the "desired teacher atmosphere" (A-19) of the student information of the viewer, or selects a tutor who has the "guidance policy" (B-20) of the tutor information that matches the "desired teacher's guidance policy" (A-20) of the student information of the viewer, or selects a tutor who has the "work experience other than lecturer" (B-17) of the tutor information that matches the "future desired occupation / industry" (A-17) of the student information of the viewer. Note that the tutor information (the above-mentioned passing record) of the tutor as the first criterion is not limited to this and can be appropriately set from the tutor information, and it may also be set from one or more pieces of tutor information. Also, the matching pairs for recommendation are not limited to those described above, and other matching pairs may be used, or a plurality of matching pairs may be used.

[0064] When the video recommendation section 24 uses a plurality of matching pairs, it may set priorities for the matching pairs, first perform matching starting from the one with the highest priority to determine the order of recommendation, or perform point assignment with weights according to the priorities, and determine the order of recommendation in descending order of the points.

[0065] Examples of those with high priorities include the "desired teacher atmosphere" (A-19) of the student information and the "atmosphere" (B-19) of the tutor information, the "desired teacher's guidance policy" (A-20) of the student information and the "guidance policy" (B-20) of the tutor information, etc. The most common reason for terminating a tutor is related to the compatibility between the student and the tutor, such as "the compatibility was not good" or "it was different from the teacher I thought it would be". Therefore, by emphasizing these matching pairs when recommending tutors, the cancellation rate can be reduced. In particular, for existing students, by using the actual class information, the occurrence of cancellations can be further suppressed.

[0066] As described above, the method of displaying recommendations may change the order of the videos so that the recommended tutors are arranged in order (see Fig. 10), may display the videos of the recommended tutors on a pop-up screen (see Fig. 11), or may be displayed by other methods.

[0067] After making the recommendation in step S5, and if the viewer did not watch the video in step S4 (NO in S5), the process ends.

[0068] Fig. 6 is a flowchart of a modification example of the video recommendation method described in Fig. 5. Note that the description of the same processing as in Fig. 5 is omitted, and only the differences will be described.

[0069] In the modification example of Fig. 6, if the viewer watches another video after making the video recommendation in step S5 (YES in step S6), the viewing history storage unit 23 records the viewing information (S7). As described above, the viewing information is the cumulative total of the video ID indicating the video watched by the viewer, the viewing time, and the teacher information associated with or embedded in the watched video. In the case of a logged-in viewer, the viewing information can be stored in the storage of the management server 20.

[0070] Then, the video recommendation unit 24 makes a video recommendation based on the student information, the teacher information of the watched video, and the viewing information (S8). That is, in step S5, the video recommendation unit 24 made a recommendation based on the student information and the teacher information of the watched video, but in step S8, the video recommendation unit 24 makes a video recommendation with reference to the viewing information in addition to the student information and the teacher information of the watched video.

[0071] The video recommendation unit 24 finds the common tutor information of the teacher information of the watched video from the viewing information, selects and recommends the tutors having this common teacher information, thereby making it easier to recommend the tutors that the viewer is interested in.

[0072] After making a recommendation in step S8, if the viewer watches yet another video (YES in S9), the processes of steps S7 and S8 are repeated. The more the number of times the viewer watches, the more likely it is that videos of tutors in which the viewer is interested will be recommended, making it possible to efficiently select a tutor.

[0073] If the viewer stops watching the video in steps S6 and S9 (NO in step S6, NO in step S9), the process ends.

[0074] FIG. 7 is a flowchart when the viewer has not logged in. If the viewer does not log in in step S2 of FIGS. 5 and 6 (NO in S2), for example, if a new viewer watches a video without registering anew (YES in S11), the viewing history storage unit 23 records viewing information (S12). As described above, the viewing information is the cumulative total of the video ID indicating the video watched by the viewer, the viewing time, and the teacher information associated with or embedded in the watched video. In the case of a viewer who has not logged in, the viewing information can be stored in a cookie or local storage of the student terminal.

[0075] Here, the video recommendation unit 24 makes a video recommendation based on the teacher information of the watched video and the viewing information (S13). In other words, when there is no new registration or login, the video recommendation unit 24 cannot use student information. Therefore, the video recommendation unit 24 uses the viewing information of the viewer instead of the student information.

[0076] When another video is watched (YES in S14), the video recommendation unit 24 accumulates the viewing information and repeats the process of making a recommendation based on the new teacher information and the viewing information. By repeatedly watching videos, it becomes possible to accurately recommend tutors that are of interest to the viewer.

[0077] On the other hand, if the viewer stops watching the video in step S11 and step S14 (NO in S11, NO in step S14), the process ends.

[0078] As described above, in step S5 of the video providing method, the video recommendation unit 24 recommends a tutor video selected based on teacher information and student information from among a plurality of videos. Therefore, the student side can efficiently search for a tutor suitable for the student. Further, in step S8, the video recommendation unit 24 recommends a tutor video by adding the viewing information of the viewer, so that the student side can more efficiently search for a tutor suitable for the student. Also, by using a video including the tutor's self-introduction, the student side can view the videos created for each tutor and can select a tutor by themselves, unlike the tutors selected by the tutors of the tutor brokerage company.

[0079] Also, when the viewer is not logged in, student information cannot be used. Therefore, in step S13, the video recommendation unit 24 recommends a tutor video selected based on teacher information and viewing history from among a plurality of videos. Thereby, even when student information cannot be used, the student side can efficiently search for a tutor of interest.

[0080] Note that the video providing method described in the above embodiment can be realized, for example, by executing a pre-prepared program with a computer (processor). This video providing program may be stored in a computer-readable storage medium and executed by being read out from the storage medium. Also, this video providing program may be provided in a form stored in a non-transitory storage medium such as a flash memory, or may be provided via a network such as the Internet.

[0081] As described above, various embodiments have been explained with reference to the drawings, but it goes without saying that the present invention is not limited to such examples. It is obvious that those skilled in the art can conceive of various modifications or corrections within the scope described in the claims, and it is naturally understood that they also belong to the technical scope of the present invention. Further, within the scope not departing from the gist of the invention, the components in the above embodiments may be arbitrarily combined.

[0082] The present specification describes at least the following matters. In the parentheses, the corresponding components and the like in the above-described embodiments are shown, but it is not limited thereto.

[0083] (1) A video providing method for a viewer to select a tutor who conducts online classes by watching videos, a video providing step of arranging videos including self-introductions created for each tutor; a video recommendation step of recommending the videos of at least one other tutor or changing the order of the videos based on the teacher information included in the videos viewed by the viewer or the teacher information associated with the videos and the student information which is the information of the student, Video providing method.

[0084] (1) According to this, among a plurality of videos, the videos of the tutors selected based on the teacher information and the student information are recommended, so that the student side can efficiently search for a tutor suitable for the student. In addition, since the student side can watch the self-introduction videos created for each tutor, unlike the tutors selected by the tutors of the tutoring agency, the student can select a tutor by himself / herself.

[0085] (2) The video providing method according to (1), wherein the video includes the state of the tutor's class, Video providing method.

[0086] According to (2), since the lessons by the tutor can be viewed before selecting the tutor, the student side can know in advance the atmosphere of the lessons by the tutor. In the conventional tutor referral system via a tutor referral company, often only the student receiving the lessons can know the lessons, and the guardian has to rely on information from the student to judge the quality of the tutor. However, with this system, the guardian can also see how the tutor conducts the lessons and can select the tutor with confidence.

[0087] (3) The video providing method according to (1) or (2), wherein the student information includes the lesson information in the lessons the student has already received, and the teacher information includes the lesson information in the lessons the tutor has already conducted. Video providing method.

[0088] (3) According to this, new tutors can be proposed by using information such as how the student behaves during lessons obtained by analyzing the online lesson videos. Since these kinds of information vary depending on the student's motivation etc., more up-to-date student information can be utilized.

[0089] (4) The video providing method according to (1) or (2), wherein the student information includes the atmosphere of the tutor the student desires, the teacher information includes the atmosphere of the tutor, or the student information includes the teaching guidelines of the tutor the student desires, and the teacher information includes the teaching guidelines of the tutor. Video providing method.

[0090] (4) According to this, by matching the atmosphere of the tutor the student desires and / or the teaching guidelines of the tutor the student desires with the atmosphere of the tutor and / or the teaching guidelines of the tutor included in the teacher information, it is possible to suppress situations where the student cancels the contract because the tutor is different from what was expected or there is a lack of compatibility.

[0091] (5) The video providing method according to (1) or (2), The student information includes at least one of the student's future desired occupation and the student's future desired industry. The teacher information includes the tutor's work history outside of teaching. Video providing method.

[0092] According to (5), by proposing a tutor based on the tutor's experience as a working professional and the student's future desired occupation and industry, the student's dreams and goals can be nurtured. Also, communication between the student and the tutor can be promoted.

[0093] (6) The video providing method according to (1) or (2), The student information includes at least one of the student's desired school and desired department. The teacher information includes at least one of the tutor's past teaching achievements and the tutor's past passing achievements. Video providing method.

[0094] According to (6), by matching the student's desired school or department with the tutor's teaching achievements and passing achievements included in the teacher information, the trust in the tutor can be increased.

[0095] (7) The video providing method according to (1) or (2), further comprising a viewing information storage step of storing the viewing information of a plurality of the videos viewed by the viewer, The video recommendation step proposes the videos of at least one other tutor or changes the order of the videos based on the teacher information, the student information, and the viewing information. Video providing method.

[0096] According to (7), videos of tutors that are more appealing to the viewer can be recommended, and the student side can more efficiently search for a tutor suitable for the student.

[0097] (8) A server device (management server 20) for a viewer to select a tutor who conducts online classes by watching videos, A video providing unit (video providing unit 22) that arranges videos including self-introductions created for each tutor side by side; Based on teacher information included in the video viewed by the viewer or teacher information associated with the video, and student information which is student information, recommend the videos of at least one other tutor, or change the order of the videos A video recommendation unit (video recommendation unit 24), comprising: Server device.

[0098] (8) According to (8), since a video of a tutor selected based on teacher information and student information is proposed from among a plurality of videos, the student side can efficiently search for a tutor suitable for the student. In addition, since the student side can view the self-introduction videos created for each tutor, unlike the tutor selected by the tutor of the tutor brokerage company, the student can select the tutor by himself / herself.

[0099] (9) A video providing method for a viewer to select a tutor who conducts online classes by watching videos, A video providing step of arranging videos including self-introductions created for each tutor side by side; A viewing information storage step of storing viewing information of a plurality of the videos viewed by the viewer; Based on teacher information included in the video viewed by the viewer or teacher information associated with the video, and the viewing information, recommend the videos of at least one other tutor, or change the order of the videos A video recommendation step, comprising: Video providing method.

[0100] According to (9), since a video selected based on teacher information and viewing records from among a plurality of videos is proposed, the student side can efficiently search for a tutor they are interested in. In addition, since the student side can view the self-introduction videos created for each tutor, unlike the tutors selected by the tutors of the home tutor referral company, the student can select a home tutor by themselves.

Explanation of Signs

[0101] 20 Management Server (Server Device) 22 Video Provision Section 24 Video Recommendation Section

Claims

1. A video providing method for selecting a tutor who conducts online classes while viewers watch videos, comprising: a video providing step of arranging videos including self-introductions created for each tutor; a video recommendation step of recommending the videos of at least one other tutor or changing the order of arrangement of the videos based on the teacher information included in the videos viewed by the viewer or the teacher information associated with the videos and the student information which is the information of the student; A video providing method.

2. The video providing method according to Claim 1, wherein the video includes the state of the tutor's class; A video providing method.

3. The video providing method according to Claim 1 or 2, wherein the student information includes the class information in the classes the student has already taken, and the teacher information includes the class information in the classes the tutor has already conducted; A video providing method.

4. The video providing method according to Claim 1 or 2, wherein the student information includes the atmosphere of the tutor the student hopes for, the teacher information includes the atmosphere of the tutor, or the student information includes the teaching guidelines of the tutor the student hopes for, the teacher information includes the teaching guidelines of the tutor; A video providing method.

5. The video providing method according to Claim 1 or 2, wherein the student information includes at least one of the student's future desired occupation and future desired industry, and the teacher information includes the work experience other than teaching of the tutor; A video providing method.

6. The video providing method according to Claim 1 or 2, wherein the student information includes at least one of the student's desired school and desired department, and the teacher information includes at least one of the teaching achievements the tutor has guided in the past and the passing achievements the tutor has enabled to pass in the past; A video providing method.

7. The video providing method according to Claim 1 or 2, further comprising a viewing information storage step of storing the viewing information of a plurality of the videos viewed by the viewer, and the video recommendation step recommends the videos of at least one other tutor or changes the order of arrangement of the videos based on the teacher information, the student information, and the viewing information; A video providing method.

8. A server device for selecting a tutor who conducts online classes while a viewer watches videos, comprising: a video providing unit that arranges videos including self-introductions created for each tutor; Based on the teacher information included in the video viewed by the viewer or the teacher information associated with the video, and the student information which is the information of the student, a video recommendation unit that recommends the videos of at least one other tutor or changes the order of the videos is provided. Server device.

9. A video providing method for a viewer to select an online tutoring teacher by viewing videos, comprising: A video providing step of arranging videos including self-introductions created for each tutor side by side; A viewing information storage step of storing the viewing information of a plurality of the videos viewed by the viewer; Based on the teacher information included in the video viewed by the viewer or the teacher information associated with the video, and the viewing information, a video recommendation step of recommending the videos of at least one other tutor or changing the order of the videos is provided. Video providing method.

Citation Information

Patent Citations

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    JP2002318859A