KR102237281B1 - Apparatus and method for providing information on human resources - Google Patents

Abstract

Disclosed are a device and a method for providing information on human resources using student response data. According to one embodiment of the present invention, the method of providing human resources information performed by the human resources providing device includes the steps of: collecting response data according to an instructor's request from any students matching an instructor; classifying and analyzing the response data collected from the students by a lecture; generating human information of the student based on an analysis result; and providing the human information of the student to a consumer who has requested the human information. The present invention enables companies to use useful human information, and for individuals, their strengths can be easily provided to the companies.

Description

Apparatus and method for providing talent information using student response data {APPARATUS AND METHOD FOR PROVIDING INFORMATION ON HUMAN RESOURCES}

The embodiments disclosed in this specification collect and analyze feedback related to the lecture or presentation contents of lecturers or audiences who listen to the lecture or presentation, and provide human resources information including the analysis results to consumers who need information on excellent human resources. It is about an apparatus and method for providing human resources information to be provided.

Companies need talent and individuals need good jobs. However, it is difficult for companies to find talent with the competencies they need, and individuals are difficult to show their strengths to many companies. According to a general hiring method, a company can grasp an individual's personal history or ability only through a personal resume or self-introduction letter, so the individual's sincerity, interest or concentration in a specific field, task-solving ability or aggressiveness, evaluation of surroundings, etc. There was a limit to understanding the individual's constant efforts or experiences accumulated over a long period of time. In addition, there was a problem that it was difficult to show all of one's abilities or efforts through a short resume or self-introduction from an individual standpoint.

As a result, companies rely on superficial information such as the individual's school or grades to hire human resources or select human resources by receiving introductions from people around them. However, it was difficult to grasp the individual's sincerity, ability to solve problems, ability to collaborate with others, and evaluations from the surroundings only from the school or grades from which they graduated. I had to experience the hassle of doing it over and over again.

In addition, even if a person hires a person through an introduction, it does not match the actual work area or the subjective opinion or relationship of the introducer is often the reason for the recommendation, and companies are often not satisfied with the person who has been recommended.

Therefore, there was a need to provide information that allows individuals to search for talents who meet the standards of the company itself, but to understand each individual's steadfast efforts over a certain period of time or experience accumulated over a long period of time.

In relation to this, Korean Patent Laid-Open No. 10-2008-0106492 discloses "Internet human resource information provision system using keyword shop". According to this, individuals are allowed to register human resources information, and users who need human resources information can search for human resources information using keywords.

However, even if it is possible to search for human resource information through keywords as described above, it is insufficient to obtain information on the individual's long-term activities or the sincerity or aggressiveness of the individual in connection with the long-term activity of the individual, since the human resource information is simply inputted by the individual.

Therefore, there is a need for a technique for solving the above-described problem.

On the other hand, the above-described background technology is technical information that the inventor possessed for derivation of the present invention or acquired during the derivation process of the present invention, and is not necessarily a known technology disclosed to the general public prior to filing the present invention. .

The embodiments disclosed in this specification are intended to provide an apparatus and method for providing human resources information for generating human resources information that enables companies to use useful human resources information and individuals to easily provide their strengths to companies. There is this.

The embodiments disclosed in the present specification aim to provide an apparatus and method for providing human resources information that enable companies to provide individual qualitative capabilities as a quantitative index.

The embodiments disclosed in the present specification are intended to provide an apparatus and method for providing human resources information that provides more objective and reliable human resources information because job-seekers are not self-created.

The embodiments disclosed in the present specification aim to provide an apparatus and method for providing talent information for generating talent information by collecting and analyzing feedback on lectures of students.

The embodiments disclosed in the present specification provide an apparatus and method for providing human resources information that provides human resources information capable of grasping the individual's long-term activities and the individual's efforts or capabilities related to the long-term activities by analyzing the feedback of the learners accumulated over a certain period of time. There is a purpose to present.

As a technical means for achieving the above-described technical task, according to an embodiment, the method for providing talent information performed by the device for providing talent information collects response data according to the request of the instructor from a random student matched with the instructor. The step of doing; Classifying and analyzing response data collected from the lecturers into lecture units; Generating talent information of the learner based on the analysis result; And providing the learner's talent information to a consumer who has requested the talent information.

According to another embodiment, the apparatus for providing talent information stores the account information of each instructor and the learner, stores response data input from the learner in association with meta information, and is generated based on the result of analyzing the response data. A storage unit for storing talent information of each student; A communication unit that communicates with the instructor and the lecturer and receives response data from the lecturer; In addition, response data according to the request of the lecturer is collected from the lecturer's request from any lecturer matched with a lecturer, and the response data collected from the lecturer is classified and analyzed by lecture unit, and the talent information of the lecturer is analyzed based on the analysis result. It may include a control unit that generates and provides the learner's talent information to a consumer who has requested the talent information.

According to another embodiment, a method for providing talent information in a computer-readable recording medium in which a program for performing a method for providing talent information is recorded, the step of collecting response data according to the request of the instructor from a random student matched with the instructor ; Classifying and analyzing response data collected from the lecturers into lecture units; Generating talent information of the learner based on the analysis result; And providing the learner's talent information to a consumer who has requested the talent information.

Further, according to another embodiment, the method for providing talent information in a computer program stored in a medium to perform the method for providing talent information, performed by a device for providing talent information, is provided according to the request of the instructor from a random student matched with the instructor. Collecting response data; Classifying and analyzing response data collected from the lecturers into lecture units; Generating talent information of the learner based on the analysis result; And providing the learner's talent information to a consumer who has requested the talent information.

According to any one of the above-described problem solving means, a device and method for providing human resources information is provided to create human resources information that allows companies to use useful human resources information and individuals to easily provide their strengths to companies. can do.

In addition, according to any one of the task solving means, it is possible to propose a device and method for providing human resources information that enable companies to provide individual qualitative capabilities as a quantitative index.

In addition, according to any one of the problem solving means, it is possible to propose a device and method for providing human resources information that provides more objective and reliable human resources information because the job seekers do not create them themselves.

Further, according to any one of the task solving means, it is possible to propose a device and method for providing talent information for generating talent information by collecting and analyzing feedback on lectures of students.

And according to any one of the task solving means, by analyzing the feedback of students accumulated over a certain period of time, the device and method for providing human resources information that can grasp the individual's long-term activities and the individual's efforts or competencies related thereto. Can be presented.

The effects that can be obtained in the disclosed embodiments are not limited to the above-mentioned effects, and other effects not mentioned are obvious to those of ordinary skill in the art to which the embodiments disclosed from the following description belong. It will be understandable.

1 is a block diagram schematically showing the configuration of a network including a device for providing human resource information according to an exemplary embodiment.
2 is a block diagram showing a functional configuration of an apparatus for providing human resource information according to an exemplary embodiment.
3 is a flowchart illustrating a step-by-step process for providing talent information according to an exemplary embodiment.
FIG. 4 is a detailed flowchart illustrating step S301 of the method for providing human resource information shown in FIG. 3.
5 is a flow chart specifically showing step S302 of the method for providing human resource information shown in FIG. 3.
6 is a flow chart specifically showing step S303 of the method for providing human resource information shown in FIG. 3.
FIG. 7 is an exemplary view showing an example of a result of quantitatively analyzing a student's response to a lecture in step S303 of the method for providing talent information shown in FIG. 3.
FIG. 8 is a detailed flowchart illustrating step S305 of the method for providing human resource information shown in FIG. 3.
9 and 10 are exemplary diagrams showing an example of human resource information provided to a consumer in step S305 of the method of providing human resource information shown in FIG. 3.

Hereinafter, various embodiments will be described in detail with reference to the accompanying drawings. The embodiments described below may be modified and implemented in various different forms. In order to more clearly describe the features of the embodiments, detailed descriptions of matters widely known to those of ordinary skill in the art to which the following embodiments pertain are omitted. In addition, parts not related to the description of the embodiments are omitted in the drawings, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a component is said to be "connected" with another component, this includes not only the case where it is'directly connected' but also the case where it is'connected with another component in the middle.' In addition, when a certain configuration "includes" a certain configuration, it means that other configurations may be further included rather than excluding other configurations unless otherwise specified.

Hereinafter, exemplary embodiments will be described in detail with reference to the accompanying drawings.

However, before describing this, the meaning of the terms used below is first defined.

In addition to the terms defined above, terms that require explanation will be separately described below.

1 is a block diagram schematically showing the configuration of a network including a device for providing human resource information according to an exemplary embodiment.

As shown in FIG. 1, the apparatus 30 for providing human resource information according to an embodiment communicates with a student terminal 10, an instructor terminal 20, and a consumer terminal 40 through a network N. The talent information providing device 30 collects response data for the lecture from the student terminal 10, provides the collected response data to the instructor terminal 20, analyzes the response data accumulated in this process, and analyzes the response data for each attendee. It plays a role of generating human resource information for and providing it to the consumer terminal 40.

Here, the learner's terminal 10, the instructor's terminal 20, and the consumer's terminal 40 are personalized information processing devices, each connected to a remote server through a network (N), or a computer that can be connected to other terminals and servers. It may be implemented as a portable terminal, a television, or a wearable device. 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), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), GSM (Global System for Mobile communications), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro), Smart Phone, Mobile Worldwide Interoperability for Microwave Access (WiMAX), etc. It may include a (Handheld)-based wireless communication device. Further, the television may include Internet Protocol Television (IPTV), Internet Television (Internet Television), terrestrial TV, cable TV, and the like. Furthermore, a wearable device is a type of information processing device that can be directly worn on the human body, such as watches, glasses, accessories, clothes, shoes, etc., and connects to a remote server or other terminal through a network directly or through another information processing device. Can be connected with.

At this time, the learner's terminal 10, the instructor's terminal 20, and the consumer's terminal 40 may be classified according to whether a user of each terminal belongs to a student, an instructor, or a consumer, rather than by a hardware configuration. In addition, accordingly, the service provided by the student terminal 10, the instructor terminal 20, and the consumer terminal 40 through the talent information providing device 30 may be different. For this purpose, the student terminal 10 and the instructor terminal (20) And the consumer terminal 40 may communicate with the human resource information providing device 30 using different application programs or web pages.

Here, the'student' is a user who takes one or more lectures in which response data is collected through the talent information providing device 30, and the'lecture' is not only a class generally provided in a school or academy, but also various lectures or lectures. It is used as an expression that includes all events such as, seminars, academic conferences, and presentations. In particular, hereinafter,'lecture' means a unit event limited to one time, and a set of unit lectures for the same group of attendees by the same instructor over multiple times like a regular class will be referred to as a'series' hereinafter. .

In inputting the response data through the student terminal 10, the learner may be matched with the instructor in advance or may specify the instructor. Accordingly, the response data may be associated with at least the student identification information and the instructor identification information.

In addition, the'instructor' is a user in charge of presentation, lecture, or progress at such an event, and requests input of questions, opinions, and answers to questions from the attendees, and a response from the student's terminal 10 as a response. You can let the data be collected.

The instructor may create a lecture by specifying the name, time, and place of a specific lecture through the instructor terminal 20. However, even if the instructor does not specify the information about the lecture, the attendees who match the instructor in real time while the instructor is logged in may be recognized as a group of attendees of one lecture. Alternatively, a group of students who have been matched with the instructor once may be recognized as a student of the corresponding lecture afterwards.

Furthermore, even if the instructor does not specify information about the lecture, the lecture may be identified or classified according to time or place. For example, at 10 am to 11 am on a specific date, a plurality of attendees matched with the corresponding instructor may all be recognized as belonging to a group of attendees of one lecture. Alternatively, at 10 am to 11 am on a specific date, only a plurality of attendees matching the instructor in Samseong-dong, Gangnam-gu may be recognized as belonging to a group of attendees of one lecture.

That is, the'lecture' can be classified and recognized for each group of attendees recognized as actually belonging to one lecture, even if a separate information registration procedure for the lecture is not performed.

In addition, a “consumer” is a user who needs human resources information for hiring, and may be, for example, a person in charge of human resources at a company. The consumer can use the consumer terminal 40 to browse the human resources information provided by the human resource information providing device 30, select the human resources, and proceed with the hiring process.

At this time,'personnel information' is information including data that can grasp the competency of each learner, and can be generated by analyzing response data collected by each learner. Talent information will be described in more detail later. The apparatus 30 for providing human resources information, which will be described later, collects and analyzes response data for this purpose, and may generate human resources information requested by the consumer.

Meanwhile, the human resource information providing device 30 is an information processing device or a set of information processing devices corresponding to the server side of a general server-client system, and the above-described student terminal 10 and instructor terminal 20, and the consumer terminal 40 ), the application program or web browser installed in the client is used as a client to communicate with students, instructors, and consumers. The human resource information providing device 30 may be implemented as a general server information processing device or a cloud computing server. In addition, the human resource information providing device 30 may store data through a storage device capable of storing data or a third server.

Such a human resource information providing device 30, when the instructor receives a request to collect response data using the instructor terminal 20 so that smooth communication can be made between the lecturer and the instructor, from the plurality of student terminals 10 Response data may be received, and the received response data may be collected and provided to the instructor terminal 20. At this time, the collected response data may be provided to the instructor terminal 20 through the instructor terminal 20 or displayed on a connected display 20' to be displayed to all participants.

For example, response data of each attendee may be allocated to one slide, and content including a number of slides corresponding to the responding student may be delivered to the instructor terminal 20. Accordingly, the instructor terminal 20 may proceed with the lecture while viewing each response data in a slide unit or displaying it to the attendees.

Furthermore, the human resource information providing device 30 may provide real-time feedback between the instructor and the attendee by providing response data collected from a plurality of attendees to the instructor terminal 20 even in the course of conducting a lecture online.

In addition, the human resource information providing apparatus 30 may receive response data by receiving the corresponding instructor from the lecturers within a time range set by the instructor, even if the lecture is not currently being conducted.

In this case, the response data may include not only text but also photos or videos. Furthermore, the response data may be data including information on one or more selected items among the selection items preset by the instructor.

In addition, the human resource information providing device 30 may classify and analyze response data repeatedly collected for each class attendee each time a lecture is made. Accordingly, the talent information providing device 30 generates talent information including the result of analyzing response data for each student, and provides it to the consumer terminal 40.

Hereinafter, with reference to FIG. 2, a more detailed configuration of the human resource information providing apparatus 30 operating as described above will be described. 2 is a block diagram showing a functional configuration of an apparatus for providing human resource information according to an exemplary embodiment.

Referring to FIG. 2, the apparatus 30 for providing human resource information according to an embodiment may include a storage unit 31, a control unit 32, and a communication unit 33.

Various types of data such as files, applications, and programs may be installed and stored in the storage unit 31. The control unit 33 to be described later may access and use the data stored in the storage unit 31 or may store new data in the storage unit 31. In addition, the control unit 33 may execute a program installed in the storage unit 31. The storage unit 31 communicates with the learner's terminal 10, the instructor's terminal 20, or the consumer's terminal 40 to collect, analyze, and generate talent information necessary for providing services. Various programs can be stored.

In addition, in the storage unit 31, information of each learner or information of an instructor may be divided into different accounts and stored. In addition, in the storage unit 31, response data collected from the corresponding learner may be accumulated in association with each learner's account.

In this case, the storage unit 31 may store meta information in association with the response data. At this time, the meta information is at least one of the student identification information inputting the response data, at least one of the identification information of the instructor or the lecture selected by the attendee, the reception time information of the response data, and the location information of the learner into which the response data is input. It may include. Further, when the response data is identified in response to which lecture is input, the lecture identification information may be included in the meta information. In addition, if the lecture corresponding to the response data belongs to a series that is conducted more than once by the same instructor and the attendee group, the series identification information may be additionally included in the meta information.

Furthermore, when the talent information including the analysis result of the response data of the learner is generated, the storage unit 31 may store the generated talent information in association with the account of the learner. At this time, the talent information may include qualitative data and quantitative data according to the result of analyzing the response data, which will be described in detail later.

Meanwhile, the control unit 32 controls the overall operation of the human resource information providing device 30 and may include a processor such as a CPU or the like. The control unit 32 may control other components included in the human resource information providing apparatus 30 to perform an operation corresponding to an input of an instructor, a student, or a consumer.

For example, the control unit 32 may execute a program stored in the storage unit 31, read a file stored in the storage unit 31, or store a new file in the storage unit 31.

The control unit 32 collects response data between the instructor and the lecturer according to the lecturer's request, and transmits the collected response data to the lecturer to provide a service that enables smooth feedback of the lecturer or lecturer. Perform. In addition, the control unit 32 performs an operation necessary for a service that provides human resources information including a result of analyzing the response data of each student to the consumer.

First, in order to provide an electronic service between the instructor and the lecturer, the control unit 32 specifically collects response data according to the lecturer's request from any lecturer matched with a random lecturer, and lectures the response data collected from the lecturer. It categorizes and analyzes it by unit, generates the learner's talent information based on the analysis result, and provides the learner's talent information to the demander who requested the talent information.

The control unit 32 matches a specific instructor and attendees. At this time, in order to match the lecturer with the lecturer, a specific lecturer or a specific lecture can be selected from the lecturer. To this end, the controller 32 may receive a name or identification information of a specific instructor or a specific lecture from a student. Alternatively, the control unit 32 may provide an instructor list or a lecture list to the attendee, and may select one from the provided list. At this time, the control unit 32 collects the location information of the attendee terminal 10, compares the location information of the instructor terminal 20 or the location information of a previously registered lecture, and includes only instructors or lectures within a certain range around the attendee. Can be provided to students.

Accordingly, the control unit 32 may match the lecturer selected by the lecturer or the lecturer corresponding to the lecture and the lecturer. In this process, multiple students may be matched to the same instructor at the same time.

On the other hand, if the lecturer matched with the instructor inputs response data, the control unit 32 may store the response data in the storage unit 32 in association with the meta information.

To this end, the controller 32 may receive a request to collect response data from an instructor. When a request for collecting response data is received from the instructor terminal 20, the controller 32 may provide a user interface for collecting response data to the attendee terminal 10 of the attendees matched to the instructor. In addition, response data of learners can be collected only while the user interface is provided. For example, if the instructor requests the lecturers to'enter the question you want to ask' on the offline, and then selects the'start response data collection' button on the instructor terminal 20, the control unit 32 is the instructor terminal ( It is possible to recognize the input of the button of the instructor through 20) as a request to collect response data, and to provide a user interface to the student terminal 10 of the attendees. In addition, when the'end response data collection' button is selected on the instructor terminal 20 again, the control unit 32 may cause the student terminal 10 to stop providing the user interface.

Of course, it is also possible to continuously provide a user interface without time limitation and collect student response data through it.

In addition, the controller 32 may receive a selection of a format of response data to be input from the lecturers from the instructor according to the embodiment. For example, it is possible to input response data in various types, such as allowing text to be input, selecting an image or video to be uploaded, and selecting one or more of a plurality of preset options.

Furthermore, the control unit 32 collects response data from the attendees and provides the collected response data to the instructor terminal 20. At this time, the response data of each attendee is displayed to the attendees in the instructor terminal 20. At this time, by providing a user interface for requesting input of evaluation information for the response data displayed again from the learners, it is possible for the learners to re-evaluate the response data of the learners.

In this case, the evaluation information may be input by, for example,'like','approve','disapprove', or the like, or by selecting one of two or more graded scores. For example, while the response data of a specific student is displayed on the display 20' in the classroom through the instructor terminal 20, the control unit 32 allows the attendees to input evaluation information on the response data of the corresponding student. And, the input evaluation information can be stored in association with the corresponding response data.

When a learner performs a process of inputting response data to a lecture through a service provided by the talent information providing device 30 for a certain period of time or longer, the control unit 32 associates the response data inputted in this process with each meta information. Save and accumulate.

In addition, the controller 32 analyzes the accumulated response data, in which case, the lecture corresponding to the response data can be identified, classified into lecture units, and analyzed.

To this end, the control unit 32 identifies a lecture corresponding to each response data by analyzing meta information corresponding to each response data.

Of course, according to an embodiment at this time, when a lecturer selects a lecture when inputting response data, it is possible to identify the lecture without an analysis process by the lecture identification information included in the meta-information.

However, when the meta information does not include the lecture identification information, the control unit 32 may identify the unit lecture using at least some of the instructor identification information, time information, and location information included in the meta information. For example, response data of different learners input to the same instructor at the same time period may be recognized as corresponding to the same lecture, and thus the same lecture identification information may be given.

In addition, the same lecture identification information may be given to the same lecturer's response data inputted in the same time slot and within the same location range.

That is, if the response data does not include the class identification information specifying the lecture, the control unit 32 can assign the class identification information based on the meta information, and the same class is identified in the response data of other students corresponding to the same condition. Information can be given.

For example, if there is a record where learner 1 is matched with instructor A at 3pm and response data is input, and there is a record of learner 2 matched with instructor A at 3pm and input response data, each response data The same lecture identification information may be assigned.

Meanwhile, the controller 32 may identify a plurality of lectures as one series, and may provide the same series identification information to the plurality of lectures. After assigning the lecture identification information to the response data, the control unit 32 may form a group of participants by collecting participants corresponding to the response data to which the same class identification information is assigned. In addition, a plurality of lectures corresponding to the same instructor and a group of attendees can be identified as a series.

For example, if lecture 1 conducted at 3 pm on a specific date of instructor A and lecture 2 held at 10 am on another date of instructor A substantially coincide, the control unit 32 may have two different groups of attendees. Lectures can be identified as a series. In this case, the fact that the group of attendees substantially coincide may mean that, for example, each student belonging to the two group of attendees matches a predetermined ratio or more.

Accordingly, like a regular class, a plurality of lectures conducted by substantially the same group of students with the same instructor may be divided into one series.

Accordingly, the controller 32 may assign series identification information to response data corresponding to a plurality of lectures divided into the same series. Meanwhile, in this way, for each response data, the control unit 32 can analyze the response data in a lecture unit after the identification of the lecture or series into which the response data is input is completed, and the response data is divided by lecture or series. have. Here, by analyzing the response data, the control unit 32 may perform a quantitative evaluation or a qualitative evaluation for each student. In particular, by calculating the characteristics that are substantially qualitatively evaluated as quantitative values, it is possible for consumers who are provided with the results of analysis of the attendees to easily find the talent they need.

The control unit 32 may calculate an index for evaluating the attendance rate of the learner or the degree of participation in the lecture by using objective values such as the connection rate or the response rate of the learner. Here, the access rate is calculated by identifying that the attendee has entered the response data in each lecture, or if the connection history matched with the instructor is confirmed, it is determined that they have accessed the service at the time of the lecture in relation to the plurality of lectures identified as series lectures. Means the ratio. In addition, the response rate refers to the rate at which the learner entered the response data in each lecture. For example, the number of actual participants entering response data for a given total response opportunity within one lecture may be the response rate. Based on the access rate or response rate calculated as described above, the controller 32 may calculate an evaluation index such as an attendance rate or class participation rate of each student. For example, the access rate can be used as the attendance rate, or the response rate can be reflected in the class participation rate.

In addition, the control unit 32 analyzes the response data of the learner, and separates whether the response data is a question, an answer to the instructor's question, or a suggestion or opinion to the instructor or other attendees, and counts separately for each classification, Through this, a quantitative indicator can be calculated.

For example, a quantitative evaluation index may be calculated using the number of questions, answers, suggestions or opinions submitted by the learner, the number of inputting the above-described evaluation information, or a relative ratio thereof.

At this time, the control unit 32 may analyze the result of analyzing response data of all the learners collected for the same lecture or series and the response data of one learner in a relatively compared manner.

For example, when the average number of responses per unit lecture for a plurality of students taking the same series lecture is 4.2, and the average number of responses per unit lecture of one of them is 1.7, It can be analyzed that the lecture participation rate of the corresponding learner is lower than the average.

As another example, the control unit 32 calculates the average number of responses of the learners for each unit lecture for a total of 10 different lectures set in the same series, and averages the number of responses for each unit lecture of a specific learner. Compared with the number of responses, it is also possible to analyze the trend of changes in the attendee's participation or integrity in the series.

In addition, in this example, the control unit 32 may determine the attendance rate of the attendee by using the number of times the attendee has not input response data for 10 series lectures.

Meanwhile, the control unit 32 may overall parse and analyze each student's response data to identify an area of interest of each student, extract a keyword of interest, and evaluate expertise in a specific area.

In addition, as described above, the control unit 32 determines the classification to which each response data belongs, and synthesizes the number of questions, the number of answers, the number of submissions of suggestions or opinions, the number of inputs of the evaluation information, etc. It is possible to quantitatively evaluate characteristics that are difficult to grasp quantitatively, such as aggressiveness, spontaneity, initiative, and insight.

For example, the control unit 32 may digitize the integrity of the lecture of the corresponding learner by synthesizing the connection rate and the response rate of each learner. In addition, as another example, the control unit 32 may numericalize the expertise of the learner in the field of expertise by referring to the number or diversity of keywords related to a particular field of expertise of the learner.

In addition, as another example, the controller 32 may quantify the student's creativity by analyzing the number of questions of the learner or keywords included in the question content.

In addition, the control unit 32 may quantify the student's aggressiveness, initiative, and spontaneity based on the number or ratio of the student's opinions or proposal submissions.

Of course, the method of calculating the characteristics exemplified above is based on numerical values obtained by analyzing the response data, but may be determined in a manner different from that described above.

Further, the control unit 32 may analyze evaluation information of other students stored in association with each student's response data, and calculate the evaluation score of others for the corresponding student.

In this way, the control unit 32 may generate individual talent information of the learner based on the result of analyzing the response data. Talent information is analyzed for participants as described above, attendance rate, lecture participation, number or rate of question submissions, number or rate of submission of suggestions or opinions, number or rate of participation in evaluation according to the number of inputs of evaluation information, number or rate of answers, etc. It may include numerical information on characteristics such as information, integrity, creativity, professionalism, aggressiveness or initiative, and spontaneity. In addition, the evaluation score given to the learner by others may be included in the talent information. In addition, the field of interest or keywords of interest of each student may be included in the talent information.

The talent information generated in this way may be updated by collecting additional response data.

Meanwhile, the controller 32 may provide the calculated human resources information to the consumer terminal 40 to provide the latter service to the consumer. At this time, the consumer inputs a desired search condition, and accordingly, the control unit 32 may provide a list of learners having talent information corresponding to the search condition to the consumer.

At this time, the control unit 32 may obtain consent to provide personal information from the individual learner's terminal 10 and provide only the information of the learner who has consented to the provision of personal information to the consumer.

Further, when providing a list of students who are primarily searched according to a request of a consumer, the control unit 32 may allow only arbitrary identification information given to the corresponding student to be included in the list. In addition, when a specific student is selected in the consumer terminal 40, the result of analyzing the response data of the corresponding student may be provided.

That is, according to this, it is not possible to provide information on the competency of the learner identified in the course of the lecture as a result of analyzing the response data of the learner, rather than information that can firstly identify the learner as a real natural person.

Subsequently, the control unit 32 can provide the consumer with the resume, self-introduction, or personal information that the student has registered on the talent information providing device 30 with the consent of the student's information provision only when the consumer additionally requests the specific information of the student. have.

Alternatively, as another embodiment, the control unit 32 may simultaneously provide a resume, self-introduction, personal information, etc. according to the consent of the learner, and human resource information according to the analysis result of response data to the consumer at the same time.

Further, the control unit 32 may provide the customer with the response data collected for each attendee in response to the customer's request.

Meanwhile, the communication unit 33 may perform wired or wireless communication with other devices or networks. To this end, the communication unit 33 may include a communication module supporting at least one of various wired and wireless communication methods. For example, the communication module may be implemented in the form of a chipset. The communication unit 33 may communicate with the student terminal 10, the instructor terminal 20, and the consumer terminal 40 described above.

The wireless communication supported by the communication unit 33 may be, for example, Wireless Fidelity (Wi-Fi), Wi-Fi Direct, Bluetooth, Ultra Wide Band (UWB), or Near Field Communication (NFC). In addition, wired communication supported by the communication unit 33 may be, for example, USB or HDMI (High Definition Multimedia Interface).

Hereinafter, a method of providing talent information performed by the device 30 for providing talent information will be described step by step with reference to FIGS. 3 to 10. 3 is a flowchart illustrating a method of providing talent information according to an exemplary embodiment, and FIG. 4 is a flowchart specifically illustrating step S301 of the method of providing talent information shown in FIG. 3. FIG. 5 is a flowchart specifically showing step S302 of the method for providing talent information shown in FIG. 3, FIG. 6 is a flowchart illustrating step S303 in the method for providing talent information shown in FIG. 3, and FIG. It is an exemplary view showing an example of the result of quantitatively analyzing the response of the learner to the lecture in step S303 of the method for providing talent information shown in FIG. Further, FIG. 8 is a flow chart specifically showing step S305 of the method for providing talent information shown in FIG. 3, and FIGS. 9 and 10 are diagrams of talent information provided to a consumer in step S305 of the method for providing talent information shown in FIG. It is an exemplary diagram showing an example.

The method of providing human resources information according to the embodiment shown in FIG. 3 includes steps processed in a time series by the apparatus 30 for providing human resources information shown in FIG. 2. Accordingly, even though the contents are omitted below, the contents described above with respect to the apparatus 30 for providing human resources information shown in FIG. 2 may also be applied to the method for providing human resources information according to the embodiment shown in FIG. 3.

First, as shown in FIG. 3, the method of providing talent information performed by the device 30 for providing talent information may start from a step S301 of collecting response data from a student matched with an instructor. In this case, step S301 will be described in more detail with reference to FIG. 4.

As shown in Figure 4, the talent information providing device 30 may match the instructor and the attendee (S401). For example, it is possible to search for an instructor located in a place within a certain range centering on the location of the learner, and arrange the searched instructor's identification information to be displayed to the learner. In addition, an instructor may be selected from the attendee from the displayed list, and the corresponding instructor and the student may be matched.

Alternatively, the talent information providing apparatus 30 may receive a selection of a specific lecture from a lecturer, and match a pre-registered instructor and a lecturer with each other in response to the selected lecture.

Subsequently, the human resource information providing device 30 may receive a response data collection request from the instructor terminal 20 (S403). If the request for collecting response data is not received from the instructor terminal 20, the human resource information providing device 30 may wait until it is received (S405).

In addition, when receiving a request for collecting response data from the instructor terminal 20, the human resource information providing device 30 may provide a user interface for data input to a student matched to the instructor (S407). At this time, the human resource information providing device 30 may provide the user interface to the student terminal 10 only during a preset time or a time selected by the instructor.

The human resource information providing device 30 may then receive response data input through the user interface and store the response data in association with the instructor and the attendee (S409). At this time, the identification information of the instructor and the learner related to the response data may be stored in association with the response data as meta information, and at this time, the meta information may additionally include information on the time or location at which the response data was received. In addition, when a lecture is specified, lecture identification information may also be included.

Again, in FIG. 3, the human resource information providing apparatus 30 may classify the collected response data into lecture units (S302). To this end, as illustrated in FIG. 5, the apparatus 30 for providing human resources information may identify a lecture corresponding to each response data based on meta information stored in association with the response data (S501). Unless the meta information includes lecture identification information, the talent information providing device 30 refers to the lecturer identification information, time information, location information, etc. to provide the same lecture identification information in response data corresponding to substantially the same lecture. Can be given (S509).

In addition, the talent information providing apparatus 30 may group the identified lecture participants (S503), and check whether a plurality of lectures corresponding to the same instructor and the group of students are searched (S505).

If there are different lectures but lectures corresponding to the same lecturer and student group, the talent information providing device 30 determines the searched lectures as one series (S507), and can assign the same series identification information to the lectures. Yes (S509).

Meanwhile, the human resource information providing apparatus 30 may compare and analyze response data classified by lecture units with response data of all participants for the same lecture (S303).

For example, the human resource information providing apparatus 30 may count the number of responses of each learner corresponding to response data to which the same class identification information is assigned (S601). For example, if a total of three response data to which the same lecture identification information of learner A is assigned are recorded, the number of response data may be counted as the number of responses to the corresponding lecture by learner A.

Accordingly, the human resource information providing device 30 may calculate the average number of responses of students to the same lecture (S602).

In addition, the talent information providing apparatus 30 may calculate a relative participation index for the lecture of each learner based on the ratio of the number of responses of each learner to the average number of responses of the learner (S603).

In addition, the talent information providing device 30 may calculate the total score of the learner according to the participation index for a plurality of lectures taken by one lecturer by referring to the participation index calculated as described above (S604).

In addition, the talent information providing apparatus 30 may calculate the absolute participation degree of the learner based on the ratio of the number of times the learner inputs the response data corresponding to the number of requests for collection of response data from the instructor.

In addition to the method of calculating the degree of participation as an index to be included in the talent information as described above, the talent information providing device 30 analyzes the response data to identify the field to which the lecture with high participation by one learner belongs, and through this You can also identify your interests.

In addition, the talent information providing apparatus 30 may distinguish between a lecture that a lecturer belonging to a lecturer group corresponding to one series responded and a lecture that did not respond, check whether the lecturer attends, and calculate the attendance rate.

Further, as another example, the talent information providing device 30 compares the amount or number of response data of the learner with the amount or number of response data of other students of the same lecture, and compares the result of comparison of the learner to the overall lecture that the learner has taken. It is also possible to calculate the student's overall integrity with reference.

In addition, the human resource information providing apparatus 30 may extract a field of interest or a keyword of interest of the learner by referring to the technology field corresponding to the keywords included in the response data and the frequency of occurrence of the keyword.

In addition, the human resource information providing apparatus 30 may classify a classification to which the response data belongs, calculate various quantitative values based thereon, and then calculate a numerical value for a qualitative characteristic again based on the classification.

For example, as shown in FIG. 7, the talent information providing device 30 divides eight lectures recognized as one series in a time series by participating in the same instructor and the same group of attendees, and the attendees for each lecture You can decide whether to attend. For example, in the case of lecture 6 in which the number of responses from the learner is 0, the attendance rate can be determined by considering the attendee as absent.

Alternatively, in another embodiment, the talent information providing apparatus 30 may calculate the attendance rate for each lecture belonging to one series, based on the access record of the lecturer matched with the instructor at the corresponding time.

In addition, you can compare the average number of responses of all attendees to each lecture and the number of responses of the corresponding student, and compare the average number of responses of all participants of 2.05 and the average number of responses of the corresponding students of 1.375 for the entire series in which all of them are summed. It can be seen that the respondents' response rate is below the average.

Furthermore, the human resource information providing device 30 may generate human resource information of the learner based on the analyzed result (S304).

In addition, the talent information providing device 30 may provide the generated talent information to the consumer terminal 40. At this time, as shown in FIG. 8, the human resource information providing apparatus 30 may preferentially receive a search condition from a consumer (S801), extract a student corresponding to the search condition, and provide a list of attendees to the consumer (S803). .

Accordingly, when the consumer selects a specific attendee included in the list (S308), the talent information providing device 30 may provide the selected student's talent information to the consumer (S807).

In this case, the search condition may be set as a range of quantitative information, such as a field of interest, a keyword of interest, and a degree of participation according to a response rate, for example.

The talent information provided by the talent information providing device 30 is, for example, as a result of analyzing response data corresponding to the identification information of the selected student, as shown in FIG. The response period in which the data was received, and the field of interest or keyword of interest identified by parsing and analyzing the response data of the corresponding student may be included.

Furthermore, quantitative information such as absolute or relative response rate or attendance rate of the corresponding learner may be included. At this time, the quantitative information included in the talent information may be calculated by a predetermined function to calculate each of them.

In particular, quantitative information may include, for example, access rate, attendance rate, and response rate. In particular, the talent information providing device 30 analyzes each response data, classifies whether it corresponds to a question, an answer, or an opinion or suggestion, and accordingly, the average question, answer, and Alternatively, it can be used as a quantitative evaluation index by calculating the ratio with the number of opinions or suggestions. Alternatively, you can calculate the percentage of the number of questions, answers, or comments or suggestions in the total response data.

That is, the talent information providing apparatus 30 may calculate a relative or absolute ratio according to the classification of response data, and may be shown as a graph, for example, a radial graph as shown in FIG. 9.

And the talent information providing device 30 is based on the information on the field of interest or the keyword of interest analyzed as described above, and indicators that are qualitatively evaluated, for example, sincerity, creativity, initiative, professionalism, etc. Evaluation can also be expressed numerically.

As shown in FIG. 9, the talent information providing device 30 may calculate the level of integrity based on the access rate or the response rate, and may calculate an index for initiative based on the rate of questions or suggestions or opinions of the learners. . Furthermore, it is also possible to calculate the index for professionalism by analyzing the type or frequency of occurrence of keywords of interest of the learner.

Furthermore, the talent information provided by the talent information providing device 30 may also include evaluation information of other learners regarding response data of the corresponding learner.

At this time, the index calculated for the above-described quantitative or qualitative indicators is called an evaluation score. In addition, the evaluation score is calculated for each lecture, and accordingly, the talent information providing device 30 may calculate a comprehensive score based on the evaluation score calculated for each of the lectures the learner took. For example, by synthesizing the integrity score for each lecture, the overall integrity score for the corresponding student can be calculated. In addition, the total score may be included in the human resource information as shown in FIG. 9.

In addition, although not shown in the drawing, the human resource information providing apparatus 30 may provide the response data of each student as it is to the consumer according to the request of the consumer.

For example, when a learner searches for a talent and receives the talent information as shown in FIG. 9, and then requests the provision of response data to the talent information providing device 30 in order to obtain more specific information about the student. , The human resource information providing device 30 may provide the response data collected for the corresponding learner to the consumer.

For example, the human resource information providing device 30 may provide the name of the lecture that the corresponding lecturer took and the response data of the lecturer generated in the corresponding lecture to the user. For example, response data input by the corresponding learner may be collected and provided in a lecture titled'C programming' for a learner selected by a consumer. For example,'If C language is the most efficient, why do you use other languages?','C language is a high-level language, and several advantages are mentioned. I am curious if there are any advantages of coding in a low-level language”, etc. It is possible to provide the user with the textual response data entered by the actual learner.

Accordingly, the consumer can more clearly grasp the qualities or abilities of the attendee while viewing the response data that the actual attendees entered during the lecture.

At this time, the human resource information shown in FIG. 9 is an example consisting of information that can be calculated by analyzing only response data received from a student or meta data related thereto. However, according to an embodiment, human resource information as shown in FIG. 10 including student personal information may be provided.

Of course, after providing the human resources information as shown in FIG. 9 preferentially, if the consumer requests detailed information of the corresponding student, the talent information providing device 30 will provide the human resources information as shown in FIG. 10 step by step. May be. At this time, the student's information consent may be obtained.

As shown in FIG. 10, the talent information providing apparatus 30 may configure the talent information by adding a name, age, a school belonging to, a name of an actual course, and an average grade registered in advance for a corresponding student.

According to this method of providing talent information, there is an advantage in that it is possible to more objectively evaluate and hire talent by grasping the attitude and interest of the learner who participated in the lecture over a certain period in addition to the information simply registered in advance by the learner.

The term'~ unit' used in the above embodiments refers to software or hardware components such as field programmable gate array (FPGA) or ASIC, and'~ unit' performs certain roles. However,'~ part' is not limited to software or hardware. The'~ unit' may be configured to be in an addressable storage medium, or may be configured to reproduce one or more processors. Thus, as an example,'~ unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , Subroutines, segments of program patent code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays, and variables.

The components and functions provided within the'~ units' may be combined into a smaller number of elements and'~ units', or may be separated from the additional elements and'~ units'.

In addition, components and'~ units' may be implemented to play one or more CPUs in a device or a security multimedia card.

The method for providing human resource information according to the embodiment described with reference to FIG. 3 may also be implemented in the form of a computer-readable medium that stores instructions and data executable by a computer. In this case, the instructions and data may be stored in the form of a program code, and when executed by a processor, a predetermined program module may be generated to perform a predetermined operation. Further, the computer-readable medium may be any available medium that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may be a computer recording medium, which is volatile and non-volatile implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules, or other data. It may include both volatile, removable and non-removable media. For example, computer recording media may include magnetic storage media such as HDDs and SSDs, optical recording media such as CDs, DVDs and Blu-ray discs, or accessible through a network. It may be a memory included in the server.

In addition, the method of providing human resource information according to the embodiment described with reference to FIG. 3 may be implemented as a computer program (or computer program product) including instructions executable by a computer. The computer program includes programmable machine instructions processed by a processor, and may be implemented in a high-level programming language, an object-oriented programming language, an assembly language, or a machine language. . Further, the computer program may be recorded on a tangible computer-readable recording medium (eg, a memory, a hard disk, a magnetic/optical medium or a solid-state drive (SSD), etc.).

Accordingly, the method for providing human resource information according to the embodiment described with reference to FIG. 3 may be implemented by executing the above-described computer program by a computing device. The computing device may include at least some of a processor, a memory, a storage device, a high-speed interface connected to the memory and a high-speed expansion port, and a low-speed interface connected to the low-speed bus and the storage device. Each of these components is connected to each other using a variety of buses, and can be mounted on a common motherboard or in other suitable manner.

Here, the processor can process commands within the computing device. Such commands include, for example, to display graphic information for providing a GUI (Graphic User Interface) on an external input or output device, such as a display connected to a high-speed interface. This could be a command stored in memory or a storage device. As another embodiment, multiple processors and/or multiple buses may be used with multiple memories and memory types as appropriate. In addition, the processor may be implemented as a chipset formed by chips including a plurality of independent analog and/or digital processors.

The memory also stores information within the computing device. As an example, the memory may be composed of volatile memory units or a set of them. As another example, the memory may be composed of a nonvolatile memory unit or a set of them. Also, the memory may be another type of computer-readable medium such as a magnetic or optical disk.

In addition, the storage device may provide a large-capacity storage space to the computing device. The storage device may be a computer-readable medium or a configuration including such a medium, for example, devices in a storage area network (SAN) or other configurations, a floppy disk device, a hard disk device, an optical disk device, Alternatively, it may be a tape device, a flash memory, or another semiconductor memory device or device array similar thereto.

The above-described embodiments are for illustrative purposes only, and those of ordinary skill in the art to which the above-described embodiments belong can easily transform into other specific forms without changing the technical spirit or essential features of the above-described embodiments. You can understand. Therefore, it should be understood that the above-described embodiments are illustrative and non-limiting in all respects. 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 to be protected through the present specification is indicated by the claims to be described later rather than the detailed description, and should be interpreted as including all changes or modified forms derived from the meaning and scope of the claims and the concept of equivalents thereof. .

Claims (15)

Performed by a device for providing talent information,
Collecting and storing response data according to the instructor's request from any learner matched with the instructor;
Classifying the response data collected from the learners into lecture units;
Analyzing the response data classified by the lecture unit by comparing the analysis result of the response data of all the students collected for the same lecture;
Generating talent information of the learner based on the analysis result; And
Including the step of providing the learner's talent information to a consumer who has requested the talent information,
The step of collecting and storing the response data,
Among the student identification information of the learner who input the response data, at least one of the identification information of the instructor or the lecture selected by the learner, the reception time information of the response data, and the location information of the learner to which the response data is input. Including the step of associating and storing at least one as meta information of the response data,
Classifying the response data into lecture units,
Identifying one lecture based on meta information of the response data, and assigning identification information of the identified lecture to the response data;
Grouping attendees of the identified lecture;
Setting the identified lecture and the searched lecture as one series when another lecture of the same instructor and student group as the identified lecture is searched; And
A method of providing talent information, including the step of assigning and linking series identification information to a lecture set as a series. delete The method of claim 1,
Collecting and storing the response data,
Receiving a selection of a specific instructor or lecture from the attendee;
Matching the lecturer corresponding to the lecturer or lecture selected by the lecturer and the lecturer;
When a request to collect response data is received from the instructor, providing a data input user interface to the attendees matched with the instructor for a preset time; And
And storing response data input from the learner through the data input user interface. delete delete The method of claim 1,
The comparing and analyzing step,
Counting the number of responses of each learner belonging to a group of lecture attendees in which the same lecture identification information or the same series identification information is associated;
Calculating an average number of responses of the group of students;
Calculating an evaluation score for each lecture of the learner by comparing with the average number of responses of the group of attendees; And
Comprising the step of calculating a total score based on the evaluation score for each lecture participated by the learner, talent information providing method. The method of claim 6,
The step of providing the learner's talent information,
Receiving a talent search condition from the consumer;
Providing a list of learners corresponding to the human resource information that satisfies the received condition to the consumer;
If the consumer selects a random student from the provided list of attendees, the method comprising the step of providing the selected student's talent information to the consumer. The method of claim 1,
The step of classifying and analyzing the lecture units,
Analyzing the response data collected from the learner and classifying it into one of a question, an answer, and a suggestion or opinion;
A method for providing talent information, comprising the step of calculating a question, an answer, and a suggestion or opinion ratio by separately counting the number of occurrences of response data for each classified classification for a shopping mall attendee. In the device for providing human resources information,
A storage unit for storing account information of each lecturer and learner, storing response data input from the learner in association with meta information, and storing talent information of each learner generated based on the analysis result of the response data;
A communication unit that communicates with the instructor and the lecturer and receives response data from the lecturer; And
Response data according to the request of the instructor is collected from random learners matched with a random instructor, and the response data collected from the learner is classified and analyzed by lecture unit, and the talent information of the learner is generated based on the analysis result. And, it includes a control unit for providing the human resources information of the attendee to the demander who requested the human resources information,
The control unit,
When the response data is received, at least one of the learner identification information of the learner who input the response data, the lecturer or lecture identification information selected by the learner, the reception time information of the response data, and the response data are input Associating and storing at least one of the location information of the received lecturer as meta information of the response data, identifying a lecture based on the stored meta information, associating the identification information of the identified lecture with the response data, and storing the identified lecture Group the students who have entered the response data associated with the same class identification information as one participant group, and when another class of the same participant group is searched, the identified class and the searched class are set as one series, and the class set as a series. A device for providing human resources information that is associated with a series identification information.
delete The method of claim 9,
The control unit,
When the lecturer or the lecture conducted by the lecturer is selected from the lecturer, the lecturer corresponding to the lecturer or lecture selected by the lecturer and the lecturer are matched, and when a request to collect response data is received from the lecturer, a preset time Providing a data input user interface to the learner matched with the instructor during the course, and receiving response data input from the learner through the data input user interface. delete The method of claim 9,
The control unit,
A talent information providing device that analyzes response data input for each of a plurality of lectures to which the same series identification information is assigned, for each lecture, and quantitatively calculates the sincerity of each learner belonging to the group of attendees. A computer-readable recording medium on which a program for performing the method according to claim 1 is recorded. A computer program performed by a human resource information providing device and stored in a medium for performing the method according to claim 1.

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