KR102282798B1 - Apparatus for Intellectual Learning Service and Driving Method Thereof - Google Patents

Abstract

The present invention relates to an intelligent learning service apparatus and a method of driving the apparatus, and the intelligent learning service apparatus according to an embodiment of the present invention stores lecture data of an instructor, and searches for an automatic response search when the lecture data is stored. When there is a learning query based on an interactive messenger from a storage unit that matches and stores, and the learner terminal device automatically transmits (previously) stored lecture data to the learner terminal device based on the query contents of the learning query and the stored search word. , when there is no lecture data to be provided, it may include a control unit for transmitting a learning query to the instructor terminal device of the instructor.

Description

Intelligent learning service device and driving method thereof {Apparatus for Intellectual Learning Service and Driving Method Thereof}

The present invention relates to an intelligent learning service device and a method of driving the device, and more particularly, when students perform preparation or review at a university, answers to questions or data are provided through an interactive messenger such as an intelligent conversational robot. It relates to an intelligent learning service device that automatically receives and solves learning disabilities, and a method of driving the device.

Electronic learning is called by various names such as e-Learning or electronic education, but it is the same in that education can be performed electronically. E-learning is a system that enables customized learning for each desired level at any time, anywhere, and by anyone using information and communication technology. Compared with traditional education fields, e-learning has the same meaning as ICT-using education as an education in which the learning space and learning experience can be expanded and learner initiative can be strengthened. However, along with the development of information and communication technology, education using ICT can be understood in a more expanded and developed form in terms of learning environment, methods, and contents.

However, despite the widespread use of e-learning, for example, many students at universities are unable to communicate directly with the professor in real time if they have any questions or questions during the preparation or review process. There is a problem that there is a problem with learning difficulties, and there are many inconveniences such as having to check in real time whether the professor has an answer when using e-mail or bulletin board.

Korean Patent Publication No. 10-2018-0003417 (2018.01.09.) Korean Patent Publication No. 10-1929800 (2018.12.11.)

An embodiment of the present invention provides an intelligent learning service device for resolving learning disabilities by automatically receiving answers to questions or data through a conversational messenger such as an intelligent conversational robot when students perform preparation or review at a university, for example, and An object of the present invention is to provide a method of driving an apparatus.

An intelligent learning service device according to an embodiment of the present invention stores lecture data of a professor, a storage unit that matches and stores a search word for automatic response search when the lecture data is stored, and an interactive messenger based on a learner terminal device When there is a learning query, the stored lecture data is automatically transmitted to the learner terminal device based on the query contents of the learning query and the stored search word, and when there is no lecture data to be provided, to the instructor terminal device of the instructor and a control unit for transmitting the learning query.

The storage unit stores, as the lecture data, answer contents and lecture materials for responding to the query contents, and the control unit selects and provides one of the stored answer contents and the lecture materials based on the query contents. can

The control unit transmits the learning inquiry to the instructor terminal device and inquires whether to directly answer the inquiry, and responds to the situation of the learning inquiry according to a result of the response to the inquiry.

The control unit, if there is no answer for a specified time after the inquiry, may notify the learner terminal device to reply later.

The control unit may transmit, as the lecture data, an extract obtained by extracting a part related to the query content from the lecture material of the instructor.

In addition, the driving method of the intelligent learning service device according to an embodiment of the present invention is a driving method of an intelligent learning service device including a storage unit and a control unit, and stores lecture data of an instructor, and automatically responds when the lecture data is stored. matching a search term for a search and storing it in the storage unit; and, when a learning query is received from a learner terminal device based on an interactive messenger, by the control unit, based on the query content of the learning query and the stored search word and automatically transmitting the stored lecture data to the learner terminal device, and transmitting the learning query to the instructor terminal device of the instructor when there is no lecture data to be provided.

The storing may include storing answer content and lecture data for responding to the query as the lecture data, and the transmitting may include selecting one of the stored answer content and the lecture material based on the query content. You can choose to provide.

The driving method may include inquiring whether to directly answer the question while transmitting the learning query to the instructor terminal device, and responding to the learning query situation according to a response result to the inquiry.

The driving method may include the step of notifying the learner terminal device to give an answer later if there is no answer for a specified time after the inquiry.

The driving method may include transmitting, as the lecture data, extract data obtained by extracting a part related to the query content from the lecture material of the instructor.

According to an embodiment of the present invention, students will be able to receive immediate answers to inquiries or to receive related materials in the process of performing preparations or review, thereby increasing their learning efficiency and helping students to learn. .

1 is a view showing an intelligent learning service system according to an embodiment of the present invention;
2 is a view showing an example of a screen on the learner terminal device of FIG. 1;
3 is a block diagram illustrating a detailed structure of the intelligent learning service device of FIG. 1, and
4 is a flowchart illustrating a driving process of the intelligent learning service device of FIG. 1 .

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 is a diagram illustrating an intelligent learning service system according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating a screen on the learner terminal device of FIG. 1 .

1, an intelligent learning service system 90 according to an embodiment of the present invention is a learning service system using an intelligent conversational robot such as a chatbot, for example, a teacher terminal device 100, a learner terminal device (110), the communication network 120, and includes some or all of the intelligent learning service device (130).

Here, "including some or all" means that some components such as the communication network 120 are omitted, so that the instructor terminal device 100 or the learner terminal device 110 communicates directly with the intelligent learning service device 130 (eg, : P2P communication) or a part or all of the intelligent learning service device 130 is integrated into a network device (eg, a wireless exchange device, etc.) in the communication network 120, and the like, In order to facilitate a sufficient understanding, it is explained that everything is included.

The instructor terminal device 100 includes a desktop computer, a laptop computer, a tablet PC, a smart phone, and further a smart TV, and may further include an artificial intelligence (AI) speaker as a peripheral device thereof. The instructor terminal device 100 is a terminal device used by the instructor, such as a professor conducting a lecture at a university, etc., and the instructor uses the terminal device to answer expected questions or questions when students prepare and review their classes through the terminal device. It provides information, that is, data on the content of answers or learning materials. For example, if there is a lecture recording for a lecture of a specific subject or lecture notes such as PowerPoint (PPT), the lecture material is provided to the intelligent learning service device 130, Provides search terms for providing lecture data and answers as lecture data. Of course, the search term may be a subject, material, content, keyword, etc. of the lecture. These search keywords may be input in various ways according to the form of a user interface (UI) window such as a pop-up window. For example, category items such as a first search word and a second search word may be divided and input in order.

When the instructor provides lecture materials in the instructor terminal device 100, the intelligent learning service device 130 selects an expected keyword or search word based on a specific search word, that is, the first keyword or by partially analyzing the contents of the related lecture material. After providing it to the instructor, you can also let them choose. As such, the keyword presented to the instructor as an example collects data through various paths in the intelligent learning service device 130 or performs an operation such as deep learning of artificial intelligence (AI) through data accumulated based on the service. Therefore, it may be possible to generate and present keywords as examples. As described above, the instructor may directly input a keyword, that is, a search word through the instructor terminal device 100 , but may provide information on various keywords, ie, expected questions, etc. from among automatically suggested keywords. If the keyword usually means a compound noun of words such as a common noun, the search word may be understood as meaning including a sentence or the like.

Usually, lecture materials of instructors will consist of 14 to 15 weeks per semester, and keywords can be provided based on the lecture contents for each week, so there will be no difficulty in providing keywords for keywords or expected questions. .

In addition, when the instructor terminal device 100 cannot provide an answer to a question in the intelligent learning service device 130 for students' questions, or the like, or cannot provide related data, the intelligent learning service device 130 Receive inquiries Accordingly, the instructor can answer the students' questions through the instructor terminal device 100 .

In this process, for example, the intelligent learning service device 130 may first inquire whether the instructor terminal device 100 can directly answer the student's query. Therefore, if there is an inquiry as to whether or not it can be directly answered, the inquiry may be simply answered in the form of Yes or No. Of course, the instructor may be able to inform you that the answer is not immediately available, and then provide answers to the questions later.

The learner terminal device 110 includes various devices such as a laptop computer, a tablet PC, and a smart phone for using the service of the intelligent learning service device 130 like the instructor terminal device 100 . Intelligent conversational robots (e.g. chatbots, chatterbots, chatterboxes, conversation agents, etc.) can be implemented on a PC or mobile basis, so it is not a big problem. Therefore, the learner terminal device 110 can use the intelligent conversational robot in two forms. For example, it may be downloaded from the learner terminal device 110 in the form of an application (hereinafter, an app) and executed, but click the chatbot messenger icon displayed on the main screen or on the designated screen provided by the intelligent learning service device 130 so you can make a query. In an embodiment of the present invention, the former case may be more preferable than the latter. In other words, it can be viewed as implementing a dedicated chatbot messenger for learning.

The learner executes the learning-only chatbot messenger on the screen of the learner terminal device 110 and then wants to know questions about the preparation or review, lecture materials of the instructor in charge of the lecture, or specific contents of the lecture materials. You can query through For example, FIG. 2 shows that student Hong Gil-dong is provided with lecture materials related to his/her request through a messenger. The learner terminal device 110 receives an answer based on a chatbot, or more precisely, an intelligent conversational robot, and can also receive lecture materials, but if the chatbot cannot provide a service, that is, an answer to a question, it contacts the instructor and You can provide answers related to the instructor's responses. Here, the response related to the response includes transmitting the contents of the instructor's response to the learner as it is, but indirectly, for example, transmitting the content that the current answer is not possible when receiving an impossible situation when asking whether an immediate answer is possible.

In other words, the learner terminal device 110 transmits the learner's query to the instructor terminal device 100 when the intelligent learning service device 130 cannot provide an answer to the learner's query or lecture materials. At this time, it asks if you can answer directly. If the instructor gives a response that it is difficult right now, based on the response, the intelligent learning service device 130, more precisely, the chatbot transmits a message such as, "Currently, the professor is in a state that cannot provide an answer". will do In this way, the learner using the learner terminal device 110 can receive help from learning through the chatbot in real time if there is something to ask the instructor in the process of pre-rehearsing or reviewing, so that learning can be continued. Therefore, learning efficiency will increase.

For example, a specific student may transmit a message in the form of "Professor, I want to know the scale of the blockchain industry," as shown in FIG. 2, by using his/her learner terminal device 110 during preparation or review. Of course, the student knows that these questions will be handled by the chatbot, but maybe the professor can get the message so he can send it as "Professor". In this way, when the message is transmitted, the intelligent learning service device 130 of FIG. 1 analyzes the message, and based on the analysis result, provides matching answer content or lecture materials in comparison with keywords entered in advance by the instructor. can Of course, lecture data can be provided only when the student requests the data as a result of analyzing the message. In addition, the data provided in this process may not be the direct data desired by the student as it can be provided by determining the degree of similarity in the intelligent learning service device 130 .

For example, in this case, the student and the chatbot have a continuous conversation with each other. For example, if a student sends a message in the form of "The data provided now is slightly different from the data I'm looking for", "I wanted to know the market size of the block chain", the chatbot analyzes the message again and asks We will be able to provide you with course materials that are suitable for you. Of course, lecture materials may be provided in the form of excerpts from the entire material. An embodiment of the present invention may use a sentence-based natural language processing technology. Semantic web technology that allows a computer to understand information and logically infer it, text mining technology that finds useful information from data composed of characters, and context-aware computing technology that understands the situation and context of a conversation partner will be applied in various ways. .

The communication network 120 includes both wired and wireless communication networks. For example, a wired/wireless Internet network may be used or interlocked as the communication network 120 . Here, the wired network includes an Internet network such as a cable network or a public telephone network (PSTN), and the wireless communication network includes CDMA, WCDMA, GSM, Evolved Packet Core (EPC), Long Term Evolution (LTE), and Wibro networks. meaning to include Of course, the communication network 120 according to the embodiment of the present invention is not limited thereto, and may be used as an access network for a next-generation mobile communication system to be implemented in the future, for example, a cloud computing network under a cloud computing environment, a 5G network, and the like. For example, when the communication network 120 is a wired communication network, the access point in the communication network 120 can connect to a switching center of a telephone company, etc., but in the case of a wireless communication network, it accesses the SGSN or GGSN (Gateway GPRS Support Node) operated by the communication company to access data or by connecting to various repeaters such as Base Station Transmission (BTS), NodeB, and e-NodeB to process data.

The communication network 120 may include an access point. Here, the access point includes a small base station such as a femto or pico base station that is often installed in a building. Here, the femto or pico base station is classified according to the maximum number of access to the instructor terminal device 100 or the learner terminal device 110 in terms of the classification of the small base station. Of course, the access point includes a short-distance communication module for performing short-distance communication such as Zigbee and Wi-Fi with the instructor terminal device 100 or the learner terminal device 110 . The access point may use TCP/IP or Real-Time Streaming Protocol (RTSP) for wireless communication. Here, short-range communication may be performed in various standards such as Bluetooth, Zigbee, infrared, radio frequency (RF) such as ultra high frequency (UHF) and very high frequency (VHF), and ultra wideband communication (UWB) in addition to Wi-Fi. Accordingly, the access point may extract the location of the data packet, designate the best communication path for the extracted location, and deliver the data packet to the next device, for example, the intelligent learning service device 130 along the designated communication path. The access point may share several lines in a general network environment, and includes, for example, a router, a repeater, and a repeater.

The intelligent learning service device 130 provides a learning service based on an intelligent conversational robot according to an embodiment of the present invention. Of course, these intelligent conversational robot-based learning services can be used in various places, but a university will be used as an example. For example, an icon representing an interactive robot, for example, a chatbot, may be displayed on the main screen of a university homepage, and may be executed in the form of a query. If the intelligent learning service device 130 is a dedicated device such as a server that provides a service based on an intelligent conversational robot, that is, if it is a messenger provided by a messenger company such as Kaka*Talk, it may be possible through this. Therefore, in the embodiment of the present invention, it will not be particularly limited in what form the service is provided.

In an embodiment of the present invention, the instructors access the intelligent learning service device 130 and directly provide lecture materials, provide keywords, and the like. For example, when a learner executes a messenger through the learner terminal device 110 , a chatting screen is displayed as shown in FIG. 2 . That is, a message transmission window is created. This may be implemented in the form of an app. In an embodiment of the present invention, the conversation is performed by chatting with the intelligent conversational robot, but it will be possible to help learning by conducting conversations related to learning, and further, learning or counseling for further education.

For example, the intelligent learning service device 130 according to an embodiment of the present invention may provide a video or video lecture using a chatbot. The intelligent learning service device 130 stores information on academic lectures of professors of each department as a main server, for example, and divides and stores frames for each lecture content using an audio file for each lecture. Of course, here, the frame may be a unit for each week, such as the first week or the second week. In this case, each frame setting is made by allowing the professors to input the subject, material, content, keyword, etc. for their lecture in advance. When students ask a question about learning through a chatbot, it provides a frame of a voice file or video with high similarity, that is, with respect to the related question. At this time, if there is no related video, the intelligent learning service device 130 automatically notifies the learner's query content through the chatbot to the instructor's terminal device 100 and asks whether to directly answer the question. When there is no contact from the teacher terminal device 100 for a predetermined time, the learner is notified to reply later, and when the contact is received from the instructor terminal device 100, the learner is immediately notified to improve the learning ability. All of the above operations indicate that a chatbot, that is, an artificial intelligence (AI) robot, detects all contents or situations by itself and operates according to a specified rule. Of course, the rule of thumb here is to include algorithms such as deep learning.

For example, the intelligent learning service device 130 chats with the learner through a conversational messenger, and when a contact is received from the instructor terminal device 100, notifies the learner of this fact, and allows the learner and the instructor to chat directly. You can also connect In other words, a chatbot is an intermediary between learners and instructors to chat. As described above, there may be various methods of responding to a learner's inquiry through the learning service device 130 , or providing lecture materials, further having a direct conversation with the instructor, and monitoring the situation. In other words, after receiving a contact from the instructor, if the instructor does not respond, a message to continue the conversation with the learner may be transmitted to the terminal device 100 of the instructor. Alternatively, learners, chatbots, and instructors can conduct group chats like a group car*bang. In other words, the chatbot mediates so that learners and instructors can freely carry on conversations. As such, various methods may be possible in relation to the chat implementation method, and since it may be designed in various ways according to the intention of the system designer above all, the embodiment of the present invention will not be particularly limited to any one method.

Of course, the intelligent learning service device 130 according to the embodiment of the present invention performs an operation such as providing keywords when the instructor stores lecture materials in the system, and provides keywords by dividing frames from lecture materials. Although exemplified, for example, the intelligent learning service device 130 may analyze lecture contents and automatically generate keywords. For example, only the main headings and subheadings are scanned and analyzed, and based on this, it responds to the learner's data request. In other words, when a learner requests a material, a specific chapter can be extracted and provided based on a keyword. In this case, when teachers provide lecture materials in the form of audio files or PPT lecture notes, it is possible to reduce the work of dividing frames. That is, the intelligent learning service device 130 performs an editing operation. Of course, it is desirable that the service be provided within the scope of not infringing the copyright of the instructor, etc.

Furthermore, the intelligent learning service device 130 may not limit the service scope to a specific university or private institute as mentioned above, but may extend the scope to a national institute or a national university. For example, it is to ensure that appropriate information is provided together when learners use services or when making inquiries. For example, when a learner enters information about the university, department, or grade he is currently attending, the chatbot analyzes data or keywords of a specific subject or professor based on this, and the chatbot provides answers to the learner's query or learning based on the result of the analysis. to provide data.

Of course, chatbots are also artificial intelligence programs. In other words, it is because it performs the function of recognizing the dialogue of natural people by itself. It just implements more chat messenger program for conversation. Accordingly, the intelligent learning service device 130 according to an embodiment of the present invention performs deep learning based on data collected in relation to learning of learners or provided by instructors, and based on the analysis result, through a chatbot The performance of the learning service can be improved. For example, to accumulate learner experiences. In other words, if many learners are satisfied with a specific answer to the same question and it is determined that there is no separate feedback as a result of providing an answer, the probability is increased by assigning weight to the corresponding answer. Through this, it will be possible to increase the satisfaction with the service request of learners by periodically changing the ranking in the candidate group of answers or learning materials by deep learning.

3 is a block diagram showing a detailed structure of the intelligent learning service apparatus of FIG. 1 .

As shown in FIG. 3 , the intelligent learning service device 130 according to an embodiment of the present invention includes a part of the communication interface unit 300 , the control unit 310 , the intelligent learning processing unit 320 and the storage unit 330 , or includes all

Here, "including some or all" means that some components such as the storage unit 330 are omitted, or some components such as the intelligent learning processing unit 320 are added to other components such as the control unit 310. As meanings that can be integrated and configured, it will be described as including all in order to help a sufficient understanding of the invention.

The communication interface unit 300 performs messenger communication, such as a chatbot messenger, with the learner terminal device 110 of FIG. 1 and, further, the instructor terminal device 100 . Here, the messenger means an instant messenger as one of communication methods on the Internet. In other words, various communication functions can be performed from terminal to terminal between netizens who have installed the same instant messenger program without connecting to a separate site. It is possible to communicate with each other only by installing an instant messenger program without subscribing to a separate Internet or PC communication service. In addition, since the program itself has a small capacity, it can be installed without any burden, and there is no additional cost to download. The principle of operation of these programs is that users registered on the list check their IP addresses and check whether they are online from time to time, thereby securing the basis for operating various services provided. The message can be delivered in three ways: a central network method, a peer-to-peer (P2P) connection method, or a combination of the two.

Accordingly, the communication interface unit 300 according to an embodiment of the present invention may perform communication in a method combining the two according to a specified situation. In other words, the communication interface unit 300 responds to the student's inquiry by itself without the assistance of the instructor according to the instruction of the control unit 310, and responds by itself through the intelligent dialogue robot, and also provides the requested learning materials, etc. However, when a situation arises that cannot be dealt with by itself, it is an intermediary to notify the instructor of the question or question and provide answers or learning materials. Here, the mediation means not just a relay that performs only delivery, but an action to properly deal with the situation by grasping the situation. As such, the communication interface unit 300 may perform various communication operations under the control of the control unit 310 .

Of course, the communication interface unit 300 may further perform operations such as modulation/demodulation, encoding/decoding, muxing/demuxing, and scaling for converting resolution in the process of performing communication. Of course, encryption or decryption operations may be further performed. When it is determined that the personal information is transmitted, the personal information may be encrypted and transmitted under the control of the controller 310 . Of course, when transmitting, the public key may also be provided so that the other party can decrypt it.

The control unit 310 is responsible for the overall control operation of the communication interface unit 300, the intelligent learning processing unit 320, and the storage unit 330 constituting the intelligent learning service device 130 of FIG. For example, the controller 310 controls the intelligent learning processing unit 320 to help the learner learn through an intelligent conversational robot, for example, an artificial intelligence program such as a chatbot. In other words, when a learner has a question while performing a pre-rehearsal to prepare for a class in a specific subject or reviewing a lecture of a class that has already been taken, it helps to solve the learning difficulties in a one-on-one messenger method. Of course, learning difficulties may include career counseling or various counseling related to learning. However, in the embodiment of the present invention, only the learning query will be described for convenience.

More specifically, when a learner's query is received through the communication interface unit 300 , the control unit 310 provides it to the intelligent learning processing unit 320 . In addition, information such as a URL for providing an answer to a corresponding query or data may be received from the intelligent learning processing unit 320 . Then, the controller 310 accesses the DB 130a of FIG. 1 based on the URL information, etc., searches for answers or data, and provides them to the learner terminal device 110 . Of course, in this process, the control unit 310 may perform various operations with the intelligent learning processing unit 320 . Typically, if an answer to a learner's query is possible, the service is provided in the central network method, but if an answer is not possible, the learner and the instructor can have a P2P conversation. It can be seen that the control unit 310 performs the same operation with the intelligent learning processing unit 320 .

In addition, the control unit 310 stores various information or data processed in the process of performing the intelligent learning service in the storage unit 330, and then, when there is a request from the intelligent learning processing unit 320, the corresponding storage unit 330 of information or data may be provided. For example, if there is a query, that is, a query from a plurality of learners, it may be stored in the storage unit 330 and then retrieved in order and provided to the intelligent learning processing unit 320 .

Meanwhile, as another embodiment of the present invention, the controller 310 may include a CPU and a memory. Of course, the CPU and the memory can be configured as one-chip. Accordingly, the CPU can quickly increase the data processing speed by copying the program stored in the intelligent learning processing unit 320 at the initial stage of driving the system, loading it into the memory, and then executing it. The CPU includes a control circuit, an arithmetic unit (ALU), a command interpreter and a registry, and the memory may include a RAM. The control circuit is in charge of the control operation, the operation unit performs, for example, an operation operation of binary bit information, and the instruction interpretation unit interprets the binary bit machine language to be recognized by the control circuit. For example, input information is stored on the right side of the lookup table (LUT), and a machine language recognizable by the CPU is stored on the left side by matching it. Therefore, the CPU can recognize the operation to be performed by itself based on the corresponding machine language.

The intelligent learning processing unit 320 enables the learner to have a conversation with the intelligent conversational robot by executing a messenger, although, of course, academic counseling may be possible when the learner has questions about learning in the process of performing preparations and review. It can be seen as implementing a kind of artificial intelligence program. When a learner asks a question through a messenger, the content of the message is analyzed and, based on the analysis result, an appropriate or similar answer or material that can be helpful for learning is provided. Natural language processing technology that analyzes conversations input through messenger is used. Analyzes declarative and interrogative sentences, and understands sentences. This will provide an appropriate answer or provide material.

Of course, the intelligent learning processing unit 320 may present an answer based on a rule defined by the system designer when designing the program, but periodically provides information on the answer content or material to be answered through an artificial intelligence program such as deep learning. update In other words, although the answer to the learner's query was initially provided with 10 pieces of data, if the learner recognizes that the answer is wrong through the learner's repeated questions, the error is periodically updated and the accuracy is increased. Of course, the presented data is no exception. For example, if data A is presented based on the analysis result of the learner's query, but there is a request for new data from the learner, the existing data A is excluded as data matching the query or given a low weight will do Through this continuous learning, errors are corrected so that high-accuracy responses and data can be provided.

Of course, it is preferable that the intelligent learning processing unit 320 initially perform the program based on the expected question from the instructor and the response result in order to provide the learner with the answer to the question and the data. In other words, it is because there must be reference data that can be utilized so that modifications can be made through continuous learning based on it. In this process, for example, the intelligent learning processing unit 320 may extract a specific part when providing data and provide it to the learner. In other words, the intelligent learning processing unit 320 analyzes the lecture data provided by the instructor to know the relevant contents, so, for example, a specific part is extracted and provided with respect to the learner's query based on the title of each chapter. For example, as mentioned in Figure 2 above, for the part related to the industrial scale of the block chain, two keywords, block chain and industrial scale, are found in the part explaining the diagram of the lecture material, and the relevant part is extracted and provided to the learner will do

In addition, the intelligent learning processing unit 320 performs a conversation with the learner in a central network manner in a specific situation, that is, the first situation in the process of performing the messenger conversation, and in the second situation, for example, the robot cannot provide an answer to the learner's query. In this case, it is to allow the conversation to take place in a peer-to-peer manner through the instructor. Even in the process in which the conversation is conducted in the P2P manner as described above, the intelligent learning processing unit 320 can recognize the contents of the conversation and recognize the situation, so that the conversation can be induced. In other words, students and professors at universities may have a strong relationship with each other, but in the case of general private institutes, the relationship between students and lecturers may be slightly lower. This is because, in this case, the conversational robot of the intelligent learning processing unit 320 may have to actively mediate the conversation. In this way, the intelligent learning processing unit 320 can be seen to help the learner's learning while changing and intermediating the conversation partner according to the situation.

The storage unit 330 stores various information or data processed under the control of the control unit 310 . If there is a learner's query, that is, a query, it may be sequentially stored in the storage unit 330 , and then retrieved in order and provided to the intelligent learning processing unit 320 . In addition, after the data obtained from the DB 130a of FIG. 1 is stored in the storage unit 330 , it may be provided to the intelligent learning processing unit 320 under the control of the control unit 310 .

4 is a flowchart illustrating a driving process of the intelligent learning service device of FIG. 1 .

Referring to FIG. 4 together with FIG. 1 for convenience of explanation, the intelligent learning service device 130 according to an embodiment of the present invention stores the lecture data of the instructor, and matches the search word for automatic response search when the lecture data is stored. Save (S400). Of course, here, the search term may be a word by category (eg, a common noun or a compound noun) or a sentence.

In addition, when there is a learning query based on an interactive messenger from the learner terminal device 110, the intelligent learning service device 130 transmits (previously) stored lecture data based on the query content of the learning query and the stored search word to the learner terminal. It is automatically transmitted to the device 110 , and when there is no lecture data to be provided, a learning query is transmitted to the instructor terminal device 100 of the instructor ( S410 ). For example, the intelligent learning service device 130 automatically transmits lecture data pre-stored by the instructor to the learner terminal device 110 based on a search word having a similarity to the query content, and when there is no lecture material to be transmitted, the instructor in charge of learning It may be possible to transmit the contents of the query to the instructor's terminal device 100 of

In this way, the intelligent learning service device 130 conducts a conversation with a learner in a central network manner, and when it is difficult to answer a learner's question in a specific situation, for example, the learner's query proceeds to a conversation with the instructor related to the question Answers or lecture data can be provided.

In addition to the above, the intelligent learning service device 130 performs various operations, but since it has been sufficiently described above, it will be replaced with the contents.

On the other hand, even though it has been described that all components constituting the embodiment of the present invention are combined or operated in combination, the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all the components may operate by selectively combining one or more. In addition, although all of the components may be implemented as one independent hardware, some or all of the components are selectively combined to perform some or all functions of the combined components in one or a plurality of hardware program modules It may be implemented as a computer program having Codes and code segments constituting the computer program can be easily deduced by those skilled in the art of the present invention. Such a computer program is stored in a computer-readable non-transitory computer readable media, read and executed by the computer, thereby implementing an embodiment of the present invention.

Here, the non-transitory readable recording medium refers to a medium that stores data semi-permanently and can be read by a device, not a medium that stores data for a short moment, such as a register, cache, memory, etc. . Specifically, the above-described programs may be provided by being stored in a non-transitory readable recording medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.

In the above, preferred embodiments of the present invention have been illustrated and described, but the present invention is not limited to the specific embodiments described above, and it is common in the technical field to which the present invention pertains without departing from the gist of the present invention as claimed in the claims. Various modifications may be made by those having the knowledge of, of course, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

100: instructor terminal device 110: learner terminal device
120: communication network 130: intelligent learning service device
300: communication interface unit 310: control unit
320: intelligent learning processing unit 330: storage unit

Claims (6)

a storage unit for storing lecture data of an instructor, and matching and storing a search word for automatic response search when the lecture data is stored; and
When there is a learning query based on an interactive messenger from the learner terminal device, the stored lecture data is automatically transmitted to the learner terminal device based on the query content of the learning query and the stored search word, and there is no lecture data to be provided. When including; a control unit for transmitting the learning query to the instructor terminal device of the instructor;
The control unit is
If there is no response from the instructor after receiving a contact from the instructor with respect to the sent learning query, a message is transmitted to the instructor terminal device to continue the conversation with the learner terminal device, and the learner and the instructor are arbitrated to continue the conversation and
The control unit is
If a large number of learners were satisfied with the answer to the same question and there is no feedback for the above answer, weight is given to the answer to increase the probability by periodically changing the ranking in the candidate group of answers or learning materials. If the satisfaction of the service request is increased and the learner's repeated questions are identified as being incorrect, the error is periodically updated to increase the accuracy, but based on the analysis result of the learner's query, If data is presented but new data is requested from the learner, the data A is excluded as data matching the query or the error is periodically updated by giving a low weight,
The control unit is
Editing to transmit the excerpt from the lecture material of the instructor, in which the part related to the query content is extracted as the lecture data, and extract a designated chapter of the lecture material based on the keyword of the query content of the learning query An intelligent learning service device that performs actions. According to claim 1,
The storage unit stores, as the lecture data, answer contents and lecture data for responding to the query contents,
The control unit, an intelligent learning service device for selecting and providing one of the stored answer content and the lecture material based on the query content. According to claim 1,
The control unit transmits the learning query to the instructor terminal device and inquires whether to directly answer the query, and the intelligent learning service device responds to the situation of the learning query according to a response result to the inquiry. 4. The method of claim 3,
The control unit, if there is no answer for a specified time after the inquiry, an intelligent learning service device for notifying the learner terminal device to reply later. delete As a driving method of an intelligent learning service device comprising a storage unit and a control unit,
storing lecture data of an instructor, matching a search word for automatic response search when the lecture data is stored, and storing in the storage unit; and
When there is a learning query based on an interactive messenger from the learner terminal device, the control unit automatically transmits the stored lecture data to the learner terminal device based on the query contents of the learning query and the stored search word, and provides Transmitting the learning query to the instructor's terminal device of the instructor when there is no lecture data; including,
The controller transmits a message to continue the conversation with the learner terminal device to the instructor terminal device if the instructor does not answer after a contact is received from the instructor with respect to the transmitted learning query, and the learner and the instructor talk mediating to continue;
When the control unit determines that a large number of learners are satisfied with the answer to the same question and there is no feedback on the answer, it increases the probability by assigning a weight to the answer and periodically changes the ranking in the candidate group of answers or learning materials. If the learner's satisfaction with the service request is increased, and the learner's repeated questions are identified through the learner's repeated question, the error is periodically updated to increase the accuracy, but based on the analysis result of the learner's query periodically updating the error by excluding the data A as data matching the query or giving it a low weight when the data A is presented but new data is requested by the learner; and
The control unit transmits, as the lecture data, an extract obtained by extracting a part related to the query content of the learning query from the lecture material of the instructor, and a designated chapter of the lecture material based on the keyword of the query content performing an edit operation to extract the ;
Driving method of the intelligent learning service device further comprising

Images