KR102216876B1 - Method and apparatus for providing artificial intelligence education service for improving brain development effect and learning effect based on brain tendency of user - Google Patents

Abstract

The present invention relates to a method and apparatus for providing an artificial intelligence education service for enhancing a brain development effect and a learning effect based on a user's brain propensity. According to an embodiment of the present invention, a method of providing an artificial intelligence education service based on a user's brain tendency is to provide learning information to a user, but measure the user's learning result and learning pattern according to the learning information performance. Determining the brain orientation of the user, providing the user with additional learning information extracted from a database linked in advance based on the brain orientation of the user, and the learning result and learning pattern of the user according to the execution of the additional learning information It may include the step of updating the brain tendency of the user based on the measurement.

Description

METHOD AND APPARATUS FOR PROVIDING ARTIFICIAL INTELLIGENCE EDUCATION SERVICE FOR IMPROVING BRAIN DEVELOPMENT EFFECT AND LEARNING EFFECT BASED ON BRAIN TENDENCY OF USER}

The present invention relates to a method and apparatus for providing an artificial intelligence education service for enhancing brain development effect and learning effect based on the user's brain propensity, and more specifically, to a learning extracted based on the user's brain propensity Provides information to the user, but updates the user's brain propensity based on the learning result and learning pattern according to the learning information performance, and provides additional learning information based on the updated brain propensity for brain development It relates to a method for providing an intelligent education service and an apparatus therefor.

In the past, educational services including public or private education have been provided offline through various learning methods, but in recent years, with the development of network communication technology, online education services have begun to be provided. Education services are being provided to learners through online education called lectures.

However, the above video lecture or Internet lecture has a great advantage in that it can be repeatedly provided to a large number of users once content for education is created, but it is a consumer who receives education services, i.e. learners. On the side, the following disadvantages exist.

Specifically, video lectures or Internet lectures are a one-way method that is conducted singly or uniformly, unlike on-site lectures (hereinafter referred to as current lectures) and tutoring that are conducted offline in two directions. It is similar to watching this TV, and in particular, only the stimulation of the left brain is performed.

Accordingly, in order to understand key concepts or to solve a problem through video lectures or Internet lectures, it takes a relatively large amount of time compared to a string lecture or tutoring where stimulation of the left and right brains is evenly performed, and furthermore, learners learn. If the will is not high, there may be a disadvantage that the efficiency and effectiveness are also very poor.

In order to solve this problem, video lectures or Internet lectures were also gradually improved. In particular, a method of dividing the video into problem units and linking the video by problem, and adding software that allows learners to interact, appeared. Still, there is a limit that the difference between the current lecture and tutoring cannot be overcome.

Therefore, there is a demand for a method of providing an education service to solve the above problems.

Korean Registered Patent Publication No. 10-1880563 (Publication date: January 12, 2018)

The method of providing an artificial intelligence education service based on the user's brain propensity according to an embodiment of the present invention is an invention designed to solve the above-described problem, and is as similar as possible to the method of high level string lecture and tutoring. Its purpose is to provide artificial intelligence education services that can consider and develop tendencies.

In addition, the present invention includes a variety of learning modes that can evenly utilize the left brain, right brain, and frontal lobe, by sequentially providing learning information including concept description information, basic problem information, deep problem information, hint information or commentary information. Its purpose is to provide artificial intelligence education services that can be learned.

In addition, an object of the present invention is to provide an artificial intelligence education service that continuously provides optimized learning information to a user based on a user's learning result and learning pattern according to learning information performance.

The technical problems to be achieved in the present invention are not limited to the above technical problems, and other technical problems that are not mentioned will be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description.

In an embodiment of the present invention, a method of providing an artificial intelligence education service based on a user's brain tendency is to provide learning information to the user, but measure the user's learning result and learning pattern according to the learning information, and Determining the brain propensity of the user, including an activation rate, a right brain activation rate, and a frontal lobe activation rate, providing the user with additional learning information extracted from a database previously linked based on the brain propensity of the user, and It may include the step of measuring the user's learning result and learning pattern according to the execution of the additional learning information, and updating the user's brain propensity based thereon.

In one embodiment of the present invention, additional learning information is extracted and provided to the user based on the updated brain propensity of the user, but by measuring the user's learning result and learning pattern according to the execution of the additional learning information, the user Updating your brain tendencies can be done repeatedly.

According to an embodiment of the present invention, a method of providing an artificial intelligence education service based on a user's brain propensity includes determining a user's brain propensity including a left brain activation rate, a right brain activation rate, and a frontal lobe activation rate, the determined user Extracting learning information from a pre-linked database based on brain propensity of, and providing the extracted learning information to the user, but measuring the learning result and learning pattern of the user according to the learning information It may include updating the determined brain propensity of the user and providing additional learning information extracted from the database based on the updated brain propensity of the user to the user.

In one embodiment of the present invention, the determination of the user's brain propensity is performed in advance by setting the left brain activation rate, the right brain activation rate, or the frontal lobe activation rate of the user through an intelligence index (IQ) diagnosis method in units of 0 to 100%. It may be measured according to a predetermined period.

In an embodiment of the present invention, the determined brain propensity of the user may be classified into a left brain type or a right brain type according to the measured user's left brain activation rate, right brain activation rate, or frontal lobe activation rate.

In one embodiment of the present invention, the learning information includes at least one or more of concept description information, basic problem information, deep problem information, hint information, or explanation information, wherein the concept description information, basic problem information, and deep problem information Each of the hint information or the commentary information may be sequentially provided to the user in order to enable step by step.

In an embodiment of the present invention, the hint information or the commentary information may be provided to the user according to at least one mode selected from among a learning mode including a balance enhancement mode, a learning efficiency enhancement mode, or a complex mode. .

In one embodiment of the present invention, in the balance enhancement mode, when the user's brain propensity is left-brain type, right-brain type hint information or right-brain type commentary information is provided, and when the user's brain propensity is right-brain type, left-brain type Hint information or left brain type commentary information may be provided to the user.

In one embodiment of the present invention, in the learning efficiency enhancement mode, when the user's brain propensity is a left-brain type, left-brain type hint information or left-brain type commentary information is provided, and when the user's brain propensity is a right-brain type, the right brain Type hint information or right-brain type commentary information may be provided to the user.

In one embodiment of the present invention, the composite mode may be provided to the user by intersecting left brain type hint information, left brain type commentary information, right brain type hint information or right brain type commentary information.

In one embodiment of the present invention, the left brain type hint information or the left brain type commentary information includes an equation, and the right brain type hint information or the right brain type commentary information includes a figure or an image. There may be.

According to an embodiment of the present invention, an apparatus for providing an artificial intelligence education service based on a user's brain propensity includes a transmission/reception unit for transmitting and receiving data to and from the user's terminal, and a left brain activation rate, a right brain activation rate, and a frontal lobe activation rate. It determines the brain propensity of the user to include, extracts learning information from a pre-linked database based on the determined brain propensity of the user, and provides the extracted learning information to the user terminal. A control unit that measures the user's learning result and learning pattern to update the determined brain propensity of the user, but controls to provide additional learning information extracted from the database to the user terminal based on the updated brain propensity of the user It can be made including.

According to a method of providing an artificial intelligence education service based on a user's brain propensity according to an embodiment of the present invention, the artificial intelligence education service is as similar as possible to the method of high-level string lecture and personal instruction, but the artificial intelligence that can consider and develop the propensity of the brain There is an effect that intelligent education services can be provided.

In addition, according to the present invention, it includes various learning modes that can evenly utilize the left brain, right brain, and frontal lobe, but sequentially provides learning information including concept description information, basic problem information, deep problem information, hint information or commentary information. Thus, there is an effect that an artificial intelligence education service capable of performing step-by-step learning can be provided.

In addition, according to the present invention, there is an effect that an artificial intelligence education service that continuously provides optimized learning information to the user based on the user's learning result and learning pattern according to the learning information performance can be provided.

In addition, according to the present invention, there is an effect of maximizing the learning effect by reducing the side effects of a video lecture or an Internet lecture as much as possible.

The effects that can be provided in the present invention are not limited to the above-described effects, and other effects that are not mentioned will be clearly understood by those of ordinary skill in the art from the following description.

1 is a diagram showing a state of a wired/wireless communication environment to which the present invention can be applied.
2 is a block diagram showing some components of a user terminal to which the present invention can be applied.
3 is a flow chart showing the operation steps of a method for providing an artificial intelligence education service based on brain propensity according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The detailed description to be disclosed hereinafter together with the accompanying drawings is intended to describe exemplary embodiments of the present invention, and is not intended to represent the only embodiments in which the present invention may be practiced.

These embodiments are provided only to make the posting of the present invention complete, and to fully inform the scope of the invention to those skilled in the art to which the present invention pertains, and the present invention will be defined by the scope of the claims. Only.

In some cases, in order to avoid obscuring the concept of the present invention, well-known structures and devices may be omitted or illustrated in a block diagram form centering on core functions of each structure and device. In addition, the same components will be described with the same reference numerals throughout the present specification.

Throughout the specification, when a part is referred to as "comprising or including" a certain element, it means that other elements may be further included rather than excluding other elements unless specifically stated to the contrary. do.

In addition, the term "... unit" described in the specification means a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. Furthermore, "a or an", "one", and similar related terms are both singular and plural in the context describing the present invention, unless otherwise indicated herein or clearly contradicted by the context. It can be used as a meaning including.

In addition, specific terms used in the embodiments of the present invention are provided to aid in understanding of the present invention, and unless otherwise defined, all terms used herein including technical or scientific terms are It has the same meaning as commonly understood by those of ordinary skill in the art to which it belongs. The use of these specific terms may be changed in other forms without departing from the technical spirit of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The detailed description to be disclosed hereinafter together with the accompanying drawings is intended to describe exemplary embodiments of the present invention, and is not intended to represent the only embodiments in which the present invention may be practiced.

1 is a diagram illustrating a wired/wireless communication network environment to which the present invention can be applied.

Referring to FIG. 1, a wired/wireless communication network environment to which the present invention can be applied may include a user terminal 100, a server 200, and a network 300.

However, the wired/wireless communication network environment mentioned below includes at least one of the components shown in FIG. 1, but is not limited thereto, and only one user terminal, server, and network are shown in FIG. Unlike this, in a wired/wireless communication network environment to which the present invention can be applied, one or more user terminals, one or more servers (eg, a management server, an intermediary server, or a client server), and one or more networks may exist, and each user terminal and Servers can be connected through different networks.

In the present invention, the user terminal 100 may be interpreted as a concept meaning a device capable of transmitting and receiving communication signals with other devices including the server 200.

In this case, one or more applications may be installed in the user terminal 100 in advance, and in particular, a method of providing an artificial intelligence education service for brain development based on a user's brain tendency, which is an embodiment of the present invention. An application including an API (Application Program Interface) or embedded software related to the application may be installed.

That is, the method of providing an artificial intelligence education service described below may be performed through an application including an API or embedded software previously installed in the user terminal 100, but is not limited thereto and may be performed through a website (WEBSITE). May be.

Meanwhile, the user terminal 100 may transmit or receive data or signals to the server 200 by itself, or may transmit or receive data or signals to the server 200 through the one or more applications. have.

In this case, the transmitted or received data or signal may be related to execution of a method of providing an artificial intelligence education service for brain development based on a user's brain propensity according to an embodiment of the present invention, but is not limited thereto. Does not.

Examples of the user terminal 100 include a terminal device, a terminal, a mobile station (MS), a mobile subscriber station (MSS), a subscriber station (SS), an advanced mobile station (AMS), and a wireless terminal (WT). , MTC (Machine-Type Communication) device, M2M (Machine-to-Machine) device, may include a D2D device (Device-to-Device) device.

Of course, this is only an example, and the user terminal in the present invention should be interpreted as a concept including all devices capable of transmitting data or signals that are currently developed and commercialized, or to be developed in the future, in addition to the above-described examples.

Referring back to FIG. 1, the server 200 refers to an object capable of transmitting and receiving data with at least one or more other devices through a wired/wireless communication network environment. In the present invention, the server 200 is an additional intermediate server and/or a client server. It may further include.

In addition, as an example of the server 200, a cloud server, an IP multimedia subsystem (IMS) server, a telephony application server, an instant messaging (IM) server, a media gateway control function (MGCF) server, and an MSG ( Messaging Gateway) server, CSCF (Call Session Control Function) server may be included, the server 200 is a PC (Personal Computer), a notebook computer, a tablet PC (Tablet Personal Computer) objects that can transmit and receive data. It may be implemented as a device that refers to.

Meanwhile, the network 300 refers to a data communication network for transmitting and receiving various types of data such as text, digital image, digital image, digital audio information, etc. between the user terminal 100 and the server 200. The kind is not particularly limited.

For example, it may be an Internet Protocol (IP) network that provides a service for transmitting and receiving large amounts of data through Internet Protocol (IP) or an All IP network integrating different IP networks.

In addition, the network 300 includes a wired network, a wireless broadband (Wibro) network, a mobile communication network including WCDMA, a high speed downlink packet access (HSDPA) network, and a mobile communication network including a long term evolution (LTE) network, LTE advanced It may be formed by one of a mobile communication network including LTE-A), a 5G (5Generation) mobile communication network, a satellite communication network, and a Wi-Fi network, or by combining at least one or more of them.

2 is a block diagram of a user terminal to which the present invention can be applied.

The user terminal 100 includes a wireless communication unit 110, an audio/video (A/V) input unit 120, a user input unit 130, a sensing unit 140, an output unit 150, a memory 160, and an interface unit. 170, a control unit 180, and a power supply unit 190 may be included.

However, since the components shown in FIG. 2 are not essential components of the user terminal 100, the user terminal 100 may have more components or fewer components.

Hereinafter, the components of the user terminal 100 will be sequentially described.

The wireless communication unit 110 may include one or more modules that enable wireless communication between the user terminal 100 and a wireless communication system or between the user terminal 100 and a network in which the user terminal 100 is located. For example, the wireless communication unit 110 may include a receiving module 111, a mobile communication module 112, a wireless Internet module 113, a short-range communication module 114, a location information module 115, and the like.

The receiving module 111 may receive a signal and/or related information from an external server 200 through a channel.

The mobile communication module 112 includes at least one of a base station, an external terminal, and a server on a mobile communication network such as GSM (Gobal System for Mobile Communications), CDMA (Code Division Multiple Access), and WCDMA (Wideband CDMA) (not limited thereto). It transmits and receives radio signals with Hana. The wireless signal may include a voice call signal, a video call signal, or various types of data according to transmission/reception of text/multimedia messages.

The wireless Internet module 113 refers to a module for wireless Internet access, and may be built-in or external to the display device 100. Wireless Internet technologies include WLAN (Wireless LAN) (Wi-Fi), Wibro (Wireless broadband), Wimax (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access), GSM, CDMA, WCDMA, LTE (Long Term). Evolution) (but not limited to), and the like may be used.

From the point of view that wireless Internet access through Wibro, HSDPA, GSM, CDMA, WCDMA, LTE, etc. is made through a mobile communication network, the wireless Internet module 113 performing wireless Internet access through the mobile communication network is the mobile communication module. It may be understood as a kind of (112).

The short-range communication module 114 refers to a module for short-range communication. As short range communication technology, Bluetooth, Radio Frequency Identification (RFID), infrared data association (IrDA), UltraWideband (UWB), ZigBee, and the like may be used.

The location information module 115 is a module for acquiring the location of the user terminal 100, and a representative example thereof is a GPS (Global Position System) module. In the present invention, the location information module 115 may acquire location information of the user terminal 100 and transmit it to the server 200.

The A/V (Audio/Video) input unit 120 is for inputting an audio signal or a video signal, and can be used when a learner performs an input for interaction, including a camera 121 and a microphone 122 May be included.

The image frame processed by the camera 121 may be stored in the memory 160 or transmitted to the outside through the wireless communication unit 110. Two or more cameras 121 may be provided depending on the use environment.

The microphone 122 receives an external sound signal and processes it as electrical voice data. The processed voice data may be converted into a format transmittable to a mobile communication base station through the mobile communication module 112 and then output. Various noise removal algorithms may be implemented in the microphone 122 to remove noise generated in the process of receiving an external sound signal.

The user input unit 130 generates input data for the user to control the operation of the display device. The user input unit 130 may include a key pad, a dome switch, a touch pad (positive pressure/static power), a jog wheel, a jog switch, and the like.

The sensing unit 140 detects the current state of the user terminal 100 such as an open/closed state of the user terminal 100, the presence of user contact, the orientation of the user terminal 100, and acceleration/deceleration of the user terminal 100 A sensing signal for controlling the operation of the terminal 100 is generated, and examples of the sensing unit 140 may include a gyroscope sensor, an acceleration sensor, and a geomagnetic sensor.

In addition, it is also possible to sense whether the power supply unit 190 supplies power or whether the interface unit 170 is coupled to an external device. Meanwhile, the sensing unit 140 may include a proximity sensor 141. This will be described later in connection with the touch screen.

The output unit 150 is for generating an output related to visual, auditory or tactile sense, and includes a display unit 151, an audio output module 152, an alarm unit 153, a haptic module 154, and a projector module ( 155) and the like may be included.

The display unit 151 displays (outputs) information processed by the user terminal 100. For example, a UI (User Interface) or a GUI (Graphic User Interface) related to a method of providing an artificial intelligence education service related to an embodiment of the present invention may be displayed.

The display unit 151 includes a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. display) and a 3D display, and the display unit 151 may be present by including at least one of inside or outside of the user terminal 100.

When the display unit 151 and a sensor (hereinafter referred to as'touch sensor') for detecting a touch motion form a mutual layer structure (hereinafter, referred to as a'touch screen'), the display unit 151 It can also be used as an input device. The touch sensor may have, for example, a touch film, a touch sheet, a touch pad, or the like.

The touch sensor may be configured to convert a change in pressure applied to a specific portion of the display unit 151 or a capacitance generated at a specific portion of the display unit 151 into an electrical input signal. The touch sensor may be configured to detect not only the touched position and area, but also the pressure at the time of the touch.

When there is a touch input to the touch sensor, a signal(s) corresponding thereto is transmitted to a touch controller (not shown). The touch controller processes the signal(s) and then transmits the corresponding data to the controller 180. As a result, the controller 180 can know whether an area of the display unit 151 is touched.

The proximity sensor 141 may be disposed in an inner area of the display device surrounded by the touch screen or near the touch screen. The proximity sensor refers to a sensor that detects the presence or absence of an object approaching a predetermined detection surface or an object existing in the vicinity using the force of an electromagnetic field or infrared rays without mechanical contact.

The sound output module 152 may output audio data received from the wireless communication unit 110 or stored in the memory 160. The sound output module 152 also outputs sound signals related to functions performed by the user terminal 100. The sound output module 152 may include a receiver, a speaker, a buzzer, and the like.

The alarm unit 153 outputs a signal for notifying the occurrence of an event in the user terminal 100. The alarm unit 153 may output a signal for notifying the occurrence of an event in a form other than a video signal or an audio signal, for example, a vibration or a mixed form of a vibration and a notification signal. Since the video signal or audio signal may also be output through the display unit 151 or the audio output module 152, in this case, the display unit 151 and the audio output module 152 are a kind of the alarm unit 153. It can also be classified.

The haptic module 154 generates various tactile effects that a user can feel. A typical example of the tactile effect generated by the haptic module 154 is vibration. The intensity and pattern of the vibration generated by the haptic module 154 can be controlled.

For example, different vibrations may be synthesized and output or may be sequentially output.

The memory unit 160 may store a program for processing and control of the controller 180, or may perform a function for temporarily storing input/output data. The frequency of use of each of the data may be stored in the memory unit 160. In addition, the memory unit 160 may store data on vibrations and sounds of various patterns output when a touch input on the touch screen is performed.

The memory 160 is a flash memory type, a hard disk type, a multimedia card microtype, a card type memory (eg, SD or XD memory), RAM ( Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk And at least one type of storage medium among optical disks.

The user terminal 100 may operate in relation to a web storage that performs a storage function of the memory 160 over the Internet.

The interface unit 170 serves as a passage for all external devices connected to the user terminal 100. The interface unit 170 receives data from an external device, receives power, and transmits it to each component inside the user terminal 100, or transmits data inside the user terminal 100 to an external device.

For example, a wired/wireless headset port, an external charger port, a wired/wireless data port, a memory card port, a port for connecting a device equipped with an identification module, an audio input/output (I/O) port, A video input/output (I/O) port, an earphone port, etc. may be included in the interface unit 170.

The controller 180 generally controls the overall operation of the user terminal 100. For example, it performs related control and processing for voice calls, data communication, voice recording, video recording, and user command input. The controller 180 may also include a multimedia module 181 for playing multimedia. The multimedia module 181 may be implemented in the controller 180 or may be implemented separately from the controller 180.

The power supply unit 190 receives external power and internal power under the control of the controller 180 and supplies power necessary for the operation of each component.

Various embodiments described herein may be implemented in a recording medium that can be read by a computer or a similar device using, for example, software, hardware, or a combination thereof.

According to hardware implementation, the embodiments described herein include application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), It may be implemented using at least one of processors, controllers, micro-controllers, microprocessors, and electrical units for performing other functions.

In some cases, the embodiments described in this specification may be implemented by the controller 180 itself.

According to software implementation, embodiments such as procedures and functions described in the present specification may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein.

The software code can be implemented as a software application written in an appropriate programming language. The software code may be stored in the memory 160 and executed by the controller 180.

Hereinafter, for convenience of explanation, the artificial intelligence education service method according to the present invention will be described on the premise that it is performed by a server and a user terminal, but is not limited thereto. It can also be realized by a computer.

3 is a flow chart showing the operation steps of a method for providing an artificial intelligence education service based on brain propensity according to an embodiment of the present invention.

When the operation process of the present invention is described in detail with reference to FIG. 3, first, it is possible to determine the brain propensity of the user including the left brain activation rate, the right brain activation rate, and the frontal lobe activation rate. (S301)

According to an embodiment of the present invention, the determination of the user's brain propensity may include measuring the user's left brain activation rate, right brain activation rate, or frontal lobe activation rate through an Intelligence Quotient (IQ) diagnosis method.

At this time, the user's left brain activation rate, right brain activation rate, or frontal lobe activation rate may be measured in units of 0-100%, for example, the left brain activation rate 32%, the right brain activation rate 57%, and the frontal lobe activation rate 48%. Can be measured.

The intelligence index diagnosis method mentioned in the present invention measures reasoning ability, cognitive ability, working memory ability (short-term working memory ability, long-term working memory ability), etc., but based on this, left brain activation rate, right brain activation rate, or frontal lobe activation rate Can be expressed as an index.

In general, the left brain is closely involved in procedural thinking and procedural expression. For example, in the area of mathematics, it is highly related to the areas of letters, expressions, and equations. The right brain is closely related to insight, intuition, and perception as images. For example, in the area of mathematics, it is highly related to the area of figures and functions. In addition, the activation rate of the frontal lobe is higher the better the left and right brains are used simultaneously.

Meanwhile, in the present invention, the brain propensity of the user may be classified into a left brain type or a right brain type according to the measured user's left brain activation rate, right brain activation rate, or frontal lobe activation rate. For example, when the left brain activation rate is higher than the right brain activation rate, it is classified as a left brain type, and when the right brain activation rate is higher than the left brain activation rate, it can be classified as a right brain type.

In addition, in the present invention, the determination of the brain propensity of the user may be repeatedly performed according to a predetermined period, and when the number of determinations is plural, the degree/part of the change may be compared/viewed for each determination result.

In addition, in the present invention, the user's brain propensity determination provides learning information to the user, but it is also possible to measure a learning result and a learning pattern of the user according to the learning information performance, and determine based on this.

Meanwhile, according to an embodiment of the present invention, learning information may be extracted from a pre-linked database based on the determined brain propensity of the user. (S302)

In this case, the learning information may include at least one of concept description information, basic problem information, advanced problem information, hint information, and commentary information.

That is, the pre-linked database may include one or more concept description information, basic problem information, deep problem information, hint information or commentary information according to the left brain activation rate of the left brain learner, and similarly, the right brain activation of the right brain learner One or more concept description information, basic problem information, advanced problem information, hint information, or commentary information according to the rate may be included. In addition, one or more concept description information, basic problem information, advanced problem information, hint information or commentary information according to the frontal lobe activation rate may be further included, and each of the learning information may be continuously added, deleted, or changed. .

On the other hand, the extracted learning information may be provided to the user (S303), and each of the concept description information, basic problem information, deep problem information, hint information or commentary information constituting the learning information is stepwise learning (Step By Step) may be provided to the user sequentially according to the order.

For example, concept description information is provided first, and then basic problem information is sequentially provided to the user. However, if the user cannot solve the basic problem information, hint information may be sequentially provided. In this case, the hint information may be plural according to the difficulty of the problem information, and when the hint information is plural, one or more hint information may be sequentially provided according to the setting of the plurality of hint information. .

In addition, after the hint information is provided or before the hint information is provided, the commentary information may be sequentially provided. At this time, the commentary information may also be a plurality according to the difficulty of the problem information, and when the commentary information is multiple, one or more commentary information may be sequentially provided according to the setting of the plurality of commentary information. have.

In addition, if the user solves the basic problem information, the deep problem information may be provided sequentially, and if the deep problem information cannot be solved, hint information and explanation information are sequentially provided according to the method described above. Can be provided.

Meanwhile, according to an embodiment of the present invention, the hint information or the commentary information may be provided to the user according to at least one mode selected from a learning mode including a balance enhancement mode, a learning efficiency enhancement mode, or a complex mode. have. In this case, the selection of the learning mode may be made by the user, but may be determined according to the measured user's left brain activation rate, right brain activation rate, or frontal lobe activation rate, that is, the user's brain preference according to the setting.

In general, learning is more effective when it is focused on questions and discussions rather than lectures, and in the end, good results can be achieved only when you have self-directed learning ability to review and organize yourself.

Therefore, the lower grades, the more competencies-centered learning is needed than achievements. Specifically, it is very important to make use of one's own strengths, but to have a balance by compensating for the shortcomings. Therefore, when competency-based learning is required, the balance enhancement mode of the present invention can be used.

On the other hand, in the case of seniors whose performance is inevitably important, they often have to solve the problem of high difficulty.In order to solve the problem of high difficulty, the learner's own strength, that is, the one with the higher activation rate among their left and right brains. Should be utilized. Therefore, in the case of learning that requires the learner's strengths, the learning efficiency enhancement mode of the present invention can be used.

First, in the present invention, in the balance enhancement mode, when the user's brain propensity is left-brain type, right-brain type hint information or right-brain type commentary information is provided, and when the user's brain propensity is right-brain type, left-brain type hint information or left-brain type Type commentary information may be provided to the user.

That is, the balance enhancement mode of the present invention is a learning mode for allowing the left brain, right brain, and frontal lobe to grow evenly with balance without being biased to one side by evenly utilizing the left brain, right brain, and frontal lobe.

For example, when the user's brain propensity is left-brained, right brain development may be necessary because the user's brain propensity is biased toward left-brain development. Therefore, when the user's brain tendency is left-brain type, but in the balance enhancement mode, right-brain type hint information (R-HINT1) or right-brain type commentary information (R-SOL1) may be provided so that the user can use the right brain a lot. .

As mentioned above, if there are multiple hint information or commentary information, a plurality of right-brain hint information (R-HINT1, R-HINT2, R-HINT3…) or multiple right-brain commentary information (R- SOL1, R-SOL2, R-SOL3...) may be provided sequentially.

As mentioned above, the left brain is closely involved in procedural thinking and procedural expression, and since it is highly related to the domain of letters, expressions, and equations in the domain of mathematics, left-brain hint information or left-brain commentary information in the present invention is It may be composed of an equation, and it helps to approach logically and procedurally by showing hints or explanations on concepts or solutions, or explanations on the next steps necessary at the present time.

The right brain is closely involved in recognizing insights, intuitions, and images, and in the area of mathematics, since it is highly related to the areas of figures and functions, the right-brain hint information or the right-brain commentary information in the present invention is a figure or image. It may be composed of, and shows hints or explanations related to problem-solving based on picture descriptions or examples that help you to imagine the scene so that you can approach them intuitively or help you to think through comparisons through examples.

If the user's brain propensity is right-brain type, since the user's brain propensity is biased toward right-brain development, left-brain development may be necessary. Therefore, when the user's brain tendency is right-brain type, but in the balance enhancement mode, left-brain type hint information (L-HINT1) or left-brain type commentary information (L-SOL1) can be provided so that the user can use the left brain a lot. have.

Likewise, as mentioned above, if there are multiple hint information or commentary information, multiple left-brain hint information (L-HINT1, L-HINT2, L-HINT3…) or multiple left-brain commentary One or more information (L-SOL1, L-SOL2, L-SOL3...) may be provided sequentially.

On the other hand, the learning efficiency enhancement mode in the present invention is, when the user's brain propensity is left-brain type, left-brain type hint information or left-brain type commentary information is provided, and when the user's brain propensity is right-brain type, right-brain type hint information or Right-brained commentary information may be provided to the user.

That is, the learning efficiency enhancement mode of the present invention is a learning mode for solving a high-difficulty problem by utilizing a higher activation rate among the left and right brains.

For example, if the user's brain tendency is left brain type, since the user has a more developed brain tendency, it is necessary to further utilize the left brain, which is the strength of the user, in order to understand the concept of high difficulty or to solve the problem of high difficulty.

Therefore, in case the user's brain tendency is left-brain type, but in the learning efficiency enhancement mode, left-brain type hint information (L-HINT1) or left-brain type commentary information (L-SOL1) can be provided so that the user can use the left brain a lot. have.

As mentioned above, if there are multiple hint information or commentary information, a plurality of left-brain type hint information (L-HINT1, L-HINT2, L-HINT3…) or multiple left-brain type commentary information (L- SOL1, L-SOL2, L-SOL3...) may be provided sequentially.

In addition, when the user's brain tendency is right-brain type, since the user has a more developed right brain tendency, it is necessary to further utilize the right brain, which is the strength of the user, in order to understand the concept of high difficulty or solve the problem of high difficulty.

Therefore, if the user's brain tendencies are right-brained, but in the learning efficiency enhancement mode, right-brain hint information (R-HINT1) or right-brain commentary information (R-SOL1) may be provided so that the user can use the right brain a lot. have.

Likewise, as mentioned above, if there are multiple hint information or commentary information, multiple right-brain hint information (R-HINT1, R-HINT2, R-HINT3…) or multiple right-brain commentary One or more information (R-SOL1, R-SOL2, R-SOL3...) may be provided sequentially.

Therefore, according to an embodiment of the present invention, learning information including various learning modes that can evenly utilize the left brain, right brain, and frontal lobe, but includes concept description information, basic problem information, advanced problem information, hint information or commentary information There is an effect that an artificial intelligence education service capable of step-by-step learning can be provided by providing sequentially.

Meanwhile, in the present invention, the composite mode may be provided to the user by intersecting left brain type hint information, left brain type commentary information, right brain type hint information, or right brain type commentary information.

That is, in the case of the composite mode, left-brain hint information, left-brain type commentary information, right-brain type hint information, or right-brain type commentary information may be intersected according to the set balance enhancement degree and learning efficiency enhancement degree, and may be provided to the user.

For example, if the user's brain tendencies are left-brained, but the balance reinforcement degree is set to 70% and the learning efficiency reinforcement degree is set to 30%, right-brain hint information or right-brain commentary information is provided to emphasize balance reinforcement. It can provide more information than hint information or left-brain type commentary information, for example, right-brain type/right-brain type/left-brain type hint information (R-HINT1, R-HINT2, L-HINT3), right-brain type/left-brain type/right-brain type hint Hint information can be provided in a combination or order such as information (R-HINT1, L-HINT2, R-HINT3), left brain/right brain/right brain hint information (L-HINT1, R-HINT2, R-HINT3), etc. And the same is true for commentary information.

In contrast, when the user's brain tendency is left-brain type, but the balance enhancement degree is set to 30% and the learning efficiency enhancement degree is set to 70%, left-brain hint information or left-brain commentary information is provided to emphasize the enhancement of learning efficiency, It can provide more than right brain type hint information or right brain type commentary information, for example, left brain type/left brain type/right brain type hint information (L-HINT1, L-HINT2, R-HINT3), left brain type/right brain type/left brain Hint information is provided in a combination or sequence such as type hint information (L-HINT1, R-HINT2, L-HINT3), right-brain/left-brain/left-brain hint information (R-HINT1, L-HINT2, L-HINT3), etc. You can do it, and so is the commentary information.

Meanwhile, according to an embodiment of the present invention, when the user performs learning information provided to a user, the determined user's brain propensity is updated by measuring the user's learning result and learning pattern according to the learning information performance. I can. (S304)

At this time, based on the updated brain tendency of the user, additional learning information may be extracted from the database according to the method described above, and the extracted additional learning information is sequentially provided to the user again (S305), According to the present invention, there is an effect that an artificial intelligence education service that continuously provides optimized learning information to a user can be provided.

In addition, according to an embodiment of the present invention, the user's learning result and learning pattern according to the measured learning information performance (e.g., correct answer/incorrect answer rate for each problem type, the number of times to read hint information, the number of reading commentary information, and each problem type) Problem solving speed, learning mode, etc.) together with the updated brain propensity/change of the user may be provided to the user.

Various embodiments of the present invention have been described so far, but those of ordinary skill in the art can recognize that various modifications and variations are possible from the above description. For example, the described techniques are performed in a different order than the described method, and/or components of the described device are combined or combined in a form different from the described method, or in other components or equivalents. The same result can be achieved even if replaced or altered by this. Therefore, other embodiments and those equivalents to the claims may be construed as belonging to the following claims.

Claims (12)

In a method of providing an artificial intelligence education service based on a user's brain tendency, performed on a server,
Transmitting learning information to a user terminal;
Receiving, through the user terminal, a user's learning result and learning pattern according to the user's performance of the learning information with respect to the learning information displayed on the user terminal;
Determining a brain propensity of the user classified into a left brain type or a right brain type based on the learning result and the learning pattern;
Extracting learning information including at least one of concept description information, basic problem information, advanced problem, hint information, and commentary information based on the determined brain propensity of the user from a pre-linked database;
The extracted learning information is provided to the user terminal, and each of concept description information, basic problem information, advanced problem information, hint information, or explanation information included in the learning information is provided sequentially in order to enable stepwise learning. , The hint information or the commentary information is provided by determining an operation mode of a balance enhancement mode or a learning efficiency enhancement mode;
Updating the brain propensity of the user based on a learning result and a learning pattern according to the learning information performed by the user on the learning information performed through the user terminal;
Extracting additional learning information from the database based on the updated brain propensity, and sequentially providing it to the user terminal; Including,
Providing the hint information or the commentary information by determining an operation mode;
When the operating mode is the balance enhancement mode, when the user's brain propensity is left-brain type, a plurality of right-brain type hint information is transmitted to the user terminal, and when the user's brain propensity is right-brain type, a plurality of left-brain type hints Transmitting information to the user terminal, wherein the plurality of left-brain hint information or the plurality of right-brain hint information is sequentially displayed in the user terminal according to a difficulty level; And
When the operation mode is the learning efficiency enhancement mode, when the user's brain propensity is a left-brain type, a plurality of left-brain type hint information is transmitted to the user terminal, and when the user's brain propensity is a right-brain type, a plurality of right-brain types Transmitting hint information to the user terminal-The plurality of left-brain type hint information or the plurality of right-brain type hint information is sequentially displayed in the user terminal according to difficulty level-
Including,
The plurality of left-brain hint information includes an equation,
The plurality of right brain hint information includes a figure or an image,
Updating the brain disposition of the user,
Including the step of updating the brain propensity of the user based on the learning result and learning pattern including the correct answer rate and incorrect answer rate for each question type, the number of reading hint information, the number of reading explanation information, the solving speed for each problem type, and a learning mode. How to provide intelligence education services. delete delete The method of claim 1,
The determination of the user's brain disposition,
Artificial intelligence education, characterized in that measuring the user's left brain activation rate, right brain activation rate, or frontal lobe activation rate in units of 0 to 100% according to a predetermined cycle through an Intelligence Quotient (IQ) diagnosis method How to provide services. The method of claim 1,
The step of determining the brain orientation of the user,
Artificial intelligence education, characterized in that it is classified into a left brain type or a right brain type according to the user's left brain activation rate, right brain activation rate, or frontal lobe activation rate
How to provide services. delete delete delete delete delete delete In a server device that provides an artificial intelligence education service based on a user's brain tendency,
A transceiver for transmitting and receiving data to and from the user terminal, and
Including a control unit,
The control unit,
Transmitting learning information to the user terminal through the transceiver,
Receiving a user's learning result and a learning pattern according to the user's performance of the learning information with respect to the learning information displayed on the user terminal through the user terminal,
Based on the learning result and the learning pattern, determining the brain propensity of the user classified into a left brain type or a right brain type,
Learning information including at least one of concept description information, basic problem information, advanced problem, hint information, and commentary information based on the determined brain propensity of the user; is extracted from a database linked in advance,
The extracted learning information is provided to the user terminal, and each of concept description information, basic problem information, advanced problem information, hint information, or explanation information included in the learning information is provided sequentially in order to enable stepwise learning. , The hint information or the commentary information is provided by determining an operation mode of a balance enhancement mode or a learning efficiency enhancement mode,
On the basis of a learning result and a learning pattern according to the learning information performed by the user on the learning information performed through the user terminal, the brain orientation of the user is updated,
Extracting additional learning information from the database based on the updated brain propensity and sequentially providing it to the user terminal;
When the control unit transmits the additional learning information to the user terminal:
When the operating mode is the balance enhancement mode, when the user's brain propensity is left-brain type, a plurality of right-brain type hint information is transmitted to the user terminal, and when the user's brain propensity is right-brain type, a plurality of left-brain type hints Transmitting information to the user terminal, wherein the plurality of left brain hint information or the plurality of right brain hint information is sequentially displayed in the user terminal according to a difficulty level;
When the operation mode is the learning efficiency enhancement mode, when the user's brain propensity is a left-brain type, a plurality of left-brain type hint information is transmitted to the user terminal, and when the user's brain propensity is a right-brain type, a plurality of right-brain types Sending hint information to the user terminal-The plurality of left-brain type hint information or the plurality of right-brain type hint information is sequentially displayed in the user terminal according to difficulty level-
Is configured to
The plurality of left-brain hint information includes an equation,
The plurality of right brain hint information includes a figure or an image,
The control unit, in order to update the brain disposition of the user,
Artificial intelligence consisting of updating the brain disposition of the user based on the learning results and learning patterns including the correct answer rate and incorrect answer rate for each question type, the number of reading hint information, the number of reading commentary information, the speed of solving each problem type, and learning mode. Server device providing educational services.

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