KR102221794B1 - Internet of Things-based Learning Delivery System that Solves Problems - Google Patents

Abstract

A system for providing learning based on IoT in a problem-solving method according to the present invention comprises: a learner terminal; a plurality of IoT devices arranged in a specific space and having one of visual and auditory output means; and a central control server having a terminal management module providing a problem to the learner terminal and a device management module providing feedback information consisting of at least one of a correct answer to the problem, a hint, and a problem different from the problem to the IoT devices.

Description

Internet of Things-based Learning Delivery System that Solves Problems

The present invention relates to an IoT-based learning provision system that proceeds in a problem-solving method, and in more detail, provides a problem to a learner's terminal, and provides feedback information consisting of one of a correct answer, a hint, and another problem to an IoT device. It relates to a system that can help improve learners' learning motivation and efficiency by providing them.

First of all, the Internet of Things means that tangible or intangible objects existing in the world are connected to each other in various ways to provide new services that individual objects could not provide. It refers to'internet' or'internet of things'.

Technologies using the Internet of Things have been applied in various ways, from wearable devices such as smart watches and smart bands to smart homes, smart cars, and RFID inventory tracking chips.

At this time, as a prior art related to the IoT-based learning system, Korean Patent Laid-Open No. 10-2017-0122616 (name of the invention: IoT-based Korean language learning system) has been disclosed.

The prior art is a system for learning Hangul based on the Internet of Things, by recognizing a wooden Hangul block and converting it into Hangul data, transmitting the converted Hangul data, and receiving digital learning contents corresponding to the transmitted Hangul data. A Korean language learner that outputs voice; And a mobile device that receives the Hangul data transmitted from the Hangul learner, extracts digital learning content corresponding to the received Hangul data, and provides it to the Hangul learner, wherein the Hangul learner and the mobile device perform short-range wireless communication. It proposes an Internet of Things-based Korean language learning system characterized by transmitting and receiving data with each other.

The prior art can implement Hangul learning by linking a mobile application and a wooden Hangul learner to perform Hangul learning, but the learning is performed using a plurality of IoT devices in a home without the need to purchase a separate device. There is a problem in that it cannot be done.

Therefore, in order to solve the above-described problem, we will develop a system that can help improve learner's learning motivation and efficiency by providing a problem to the learner's terminal and providing feedback information on it to the IoT device to induce the learner's learning. The necessity is emerging.

The present invention is conceived to overcome the problems of the above technology, and provides a problem to the learner's terminal and provides feedback information on this to the IoT device to induce the learner's learning, thereby helping to improve the learner's learning motivation and efficiency. It is to provide a system that can be given.

Another object of the present invention is to provide a system capable of providing feedback information to an IoT device sequentially in an order close to the location of the learner terminal by identifying the location of the learner terminal.

Another object of the present invention is to classify feedback information into a plurality of segment information based on a predetermined output order, transmit the information to each IoT device, and then determine the location order information of the IoT device where the learner will be located according to the output order. It is to provide a system that can guide people.

A further object of the present invention is a system capable of providing a learning game for instructing a touch of a learner terminal touch screen to calculate a touch value by analyzing the touch pressure, the number of times, and the time, and to provide a hint on a problem according to the height of the touch value Is to provide.

In order to achieve the above object, the IoT-based learning providing system proceeding in a problem solving method according to the present invention includes: a learner terminal; An IoT device disposed in a specific space and having an output means of either visual or audio; A central control server having a terminal management module that provides a problem to the learner's terminal, and a device management module that provides the IoT device with feedback information consisting of at least one of a correct answer, a hint, and a problem other than the problem. It characterized in that it includes;

In addition, the central control server includes a location identification module for identifying the location of the learner terminal, and the device management module provides the feedback information to any one of the IoT devices close to the location of the learner terminal It characterized in that it comprises a proximity output indicating unit to instruct the output.

In addition, the device management module includes an information classification unit that classifies the feedback information into a plurality of segment information based on a predetermined output order, and the proximity output instruction unit includes: And a sequential output part for sequentially outputting the segment information to the IoT device according to the output order.

According to the IoT-based learning providing system conducted in a problem solving method according to the present invention,

1) It can help improve learner's learning motivation and efficiency by inducing learner's learning by providing problems to learner's terminal based on IoT device,

2) By identifying the location of the learner's terminal and providing feedback information to the IoT device sequentially in the order close to the location of the learner's terminal, it can help the learner to solve problems.

3) It is only possible to improve the convenience of learning by transmitting the feedback information classified into a plurality of segment information for each IoT device and then guiding the learner to the location order information of the IoT device where the learner will be located according to the output order. not,

4) By providing a learning game that instructs the touch of the learner's terminal touch screen to analyze the touch pressure, number of times, and time to calculate the touch value, and to provide hints on the problem according to the height of the touch value, the learner is interested in learning. Can be triggered.

1 is a system configuration diagram showing a schematic configuration of the system of the present invention.
Figure 2 is a block diagram showing a specific configuration of the central control server of the present invention.
3 is a conceptual diagram illustrating an embodiment of sequentially outputting segment information
4 is a conceptual diagram showing an embodiment in which a problem is provided through a learner terminal.
5 is a conceptual diagram illustrating an embodiment of a touch area provided through a learner terminal.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The accompanying drawings are not drawn to scale, and the same reference numerals in each drawing refer to the same components.

1 is a system configuration diagram showing a schematic configuration of the system of the present invention.

First, referring to FIG. 1, the IoT-based learning providing system 1 proceeding with the problem solving method of the present invention provides a problem to the learner terminal 20, and provides a correct answer to the problem, a hint, or one of other problems. By providing the formed feedback information to the IoT device 30, it is possible to help improve the learning motivation and efficiency of the learner.

The system 1 of the present invention can be implemented through the central control server 10, which is the core configuration of the present invention, and the central control server 10 can be referred to as the system 1 itself. The central control server 10 can provide the system 1 of the present invention by interworking with the learner terminal 20 and the IoT device 30 and managing them in an integrated manner for the implementation of the system 1.

In addition, the learner terminal 20 and the IoT device 30 may be devices equipped with a display device, and input information by interlocking with a web or app on which the central control server 10 of the present invention is implemented, and input information. Can be provided.

Specifically, the learner may be a person who wants to proceed with learning through the system 1 of the present invention, for example, a child who is about 6 to 8 years old and begins to learn Korean, English, arithmetic, and the like. In this case, the learner terminal 20 may be a terminal used by such a learner or a terminal used by a learner's parent or educator, and may be a terminal equipped with a display device and an input device such as a smartphone or a tablet PC.

In addition, the IoT device 30 is a system connected to the Internet to collect, control, and manage information by attaching sensors and processors to objects. It may be an interphone or the like.

However, the IoT device 30 of the present invention is basically provided with any one of visual and auditory output means in order to provide feedback information to the learner to be described later. For example, when the table clock is the Internet of Things device 30, the table clock has a display (visual output means) that can visually display the clock mark while having a communication means capable of communicating with the central control server. A speaker (audible output means) capable of generating an alarm may be provided.

These IoT devices 30 may be arranged in plural according to the appropriate location in a place where the system 1 of the present invention is performed, for example, in an indoor space of a house. In general, education for children at home In many cases, the Internet of Things device 30 using electronic devices existing in the home is preferable.

For example, when a child (learner) at home wants to learn through the system 1 of the present invention, if the central control server 10 provides a problem to the learner terminal 20, Feedback information for solving such a problem may be output to the IoT device 30, and the learner travels around the house and provides the correct answer to the problem by referring to the feedback information output to the IoT device 30. You can solve the problem by typing in ).

The central control server 10 constituting the present invention includes a CPU and a storage means in a state provided with a communication unit and a transmission unit for transmitting information while performing mutual communication with the learner terminal 20 and the IoT device 30. It means equipped hardware, and a series of modules and specific functions thereof, which will be described later, can be derived by software to be executed in the CPU.

That is, the central control server 10 is a program that can be executed in the central processing unit on a hardware basis having a central processing unit (CPU) and storage means such as memory and a hard disk, that is, software is installed and can execute this software. However, a series of specific configurations of such software will be described later as structural units called'modules','parts', and'interfaces'.

At this time, the central control server 10 is a RAM (Random Access Memory, not shown) and a ROM (ROM: Read-Only Memory, which temporarily and/or permanently stores the signal (or data) processed therein. Not shown), may include a processor.

In addition, the central control server 10 may be implemented in the form of a system on chip (SoC) including at least one of a graphic processing unit, RAM, and ROM.

The processor may include one or more cores (not shown), a graphic processing unit (not shown), and/or a connection path (eg, a bus) for transmitting and receiving signals to and from other components.

In addition, programs (one or more instructions) for execution and control of modules or units to be described later may be stored in the memory. Programs stored in the memory may be divided into a plurality of modules according to functions.

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. Software modules include Random Access Memory (RAM), Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

That is, the components of the present invention may be implemented as a program (or application) and stored in a medium in order to be executed by being combined with a computer that is hardware. Components of the present invention may be implemented as software programming or software elements, and similarly, embodiments include various algorithms implemented with a combination of data structures, processes, routines or other programming elements, including C, C++. , Java, assembler, or the like may be implemented in a programming or scripting language. Functional aspects can be implemented with an algorithm running on one or more processors.

The configuration of such a "module" or "unit" or "interface" refers to a configuration of hardware such as an FPGA or an ASIC or software that is executed through a CPU and a memory in a state installed and stored in a storage means of a server. In this case, the configurations of'module','unit', and'interface' are not limited to hardware, and may be configured to be in an addressable storage medium or configured to reproduce one or more processors. As an example,'module' or'sub' or'interface' refers to components such as software components, object-oriented software components, class components and task components, processes, functions, and properties. S, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays and variables.

The functions provided by these'module' or'sub' or'interface' may be combined into a smaller number of components and'sub' or'module', or additional components and'sub' or'module' Can be further separated.

Hereinafter, a detailed configuration and function thereof will be described based on such a macroscopic configuration.

2 is a block diagram showing a specific configuration of the central control server of the present invention, FIG. 3 is a conceptual diagram showing an embodiment of sequentially outputting segment information, and FIG. 4 is an implementation in which a problem is provided through a learner terminal. It is a conceptual diagram showing an example.

The central control server 10 of the present invention may basically include a terminal management module 100 and a device management module 200.

The terminal management module 100 provides a function to provide a problem to the learner terminal 20, and installs an app linked to the system 1 of the present invention in the learner terminal 20 or connects to the web. Problems can be provided.

At this time, the problem can be various topics such as Korean, English, and arithmetic. For example, "What if I like games in English?", "What if The cat is so cute. in Korean?", "Multiplication 7 What about Dan?", "What if spring, summer, fall, and winter are spoken in English?" A problem such as, etc. may be provided to the learner terminal 20, and the answer to the problem may be a combination of several words, but it may be a problem of selecting one answer from among several options. More specifically, when a learner selects a topic for a problem, one problem or multiple problems may be provided in succession, and problems for multiple topics may be provided by selecting multiple topics or random. Do.

In addition, it is possible to provide the problem in text only, but it is possible to provide it with graphics, pictures, voices, and sound effects to help further improve learning motivation.

At this time, in order to set the difficulty and subject of the problem, it is possible to test the learner's cognitive level in advance through the learner terminal 20, and it is also possible to input the learner's education level and age in advance.

The device management module 200 serves to provide the IoT device 30 with feedback information consisting of at least one of a correct answer, a hint, and the problem and other problems for the problem.

For example, if the problem provided is "What if I like games in English?" and the feedback information is a hint, "I", "Like", and "Games" are output from each of the three IoT devices 30 The learner may input the correct answer to the learner terminal 20 by referring to this feedback information.

As another example, if the problem provided is "What if the cat is so cute. in Korean?", and the learner exceeds the time to submit the correct answer, the feedback information may be the correct answer, and the correct answer to the question, "That cat is “Too cute” is output on the IoT device 30 so that the learner can recognize the correct answer.

In this case, only the case where the feedback information is a hint or correct answer has been described as an example, but in addition to the problem provided to the learner terminal 20, other problems may be provided to the IoT device 30 as feedback information.

In addition, the central control server 10 may further include a location detection module 300.

The location identification module 300 serves to identify the location of the learner terminal 20.

At this time, the location of the learner may be determined through a GPS function or a beacon provided in the learner's terminal 20, or the learner's location may be determined by measuring the strength of a connection signal of the WIFI of the router connected to the learner's terminal 20. . In addition, the learner's location is determined based on the learner's parent's terminal by interlocking with the learner's parent's terminal, or the IoT device 30 and the learner's terminal 20 distributed throughout a specific location are connected to measure the distance. It is also possible to determine the location of the learner terminal 20. Since such a location detection technique is a known technique, a detailed description of the technique will be omitted.

Accordingly, the device management module 200 may include the proximity output indicating unit 210.

The proximity output instruction unit 210 provides a function of providing the feedback information to any one of the IoT devices 30 close to the position of the learner terminal 20 and instructing the output. For example, if the IoT device 30 closest to the learner is an electronic clock, feedback information can be output on the display of the electronic clock by grasping the position of the learner, and the learner sees this and gives a hint and answer to the problem. , Another problem information can be obtained.

3 is a conceptual diagram illustrating an example of sequentially outputting segment information.

The device management module 200 of the present invention may include an information classification unit 220.

The information classification view 220 serves to classify the feedback information into a plurality of segment information based on a predetermined output order.

Here, the segment information refers to a unit mounted in the main memory as a part of a program or memory in the dictionary. In the present invention, for example, the feedback information is a sentence including a plurality of words or an English word including a plurality of spellings. In this case, it means unit object information obtained by separating each word or spelling according to the order in accordance with grammar.

For example, when the feedback information for the question "What if the cat is so cute. in Korean?" is the sentence "That cat is so cute", "I", "The cat is", "Too", " Each of the four words “cute” becomes segment information. At this time, each segment information may include order information according to the grammar. For example, in the above example, "me" is 1 times, "cat is" 2 times, "too" is 3 times, and "cute" is 4 times. It contains order information called number.

The segment information classified as described above may be output to each IoT device 30, and the order of outputting the segment information may also be classified as segment information. In this case, the hints may be sequentially output based on the position of the IoT device 30, but may be stored together with segment information so as to be randomly output regardless of the position of the IoT device 30.

Accordingly, the proximity output indicating unit 210 may include a sequential output part 211.

The sequential output part 211 provides a function of sequentially outputting the segment information to the IoT device 30 in the order in which the learner terminal 20 approaches the IoT device 30 according to the output order. As a result, by identifying the location of the learner by the location detection module 300, the IoT device 30 close to the learner can be identified and proceeded.

As can be seen from FIG. 3, when it is assumed that the movement of the learner is determined so that the IoT device 30 approaches the electronic clock, speaker, refrigerator, and oven each having a visual output means, based on the learner's location, If the segment information for the feedback information is in the order of "Me", "Cat", "Too", "Cute", then "Me" to the electronic clock, "Cat" to the speaker, "Too" to the refrigerator, and "Too" to the oven. "It's cute" may be output.

In addition, the feedback information may be classified as segment information so that the feedback information is randomly output. In this case, it does not necessarily follow the predicted movement of the learner, and in the above example, for example, speaker-1, electronic clock-2, oven-3 Segment information matched in a corresponding order may be output to the IoT device 30 determined as No. 4 and No. 4 refrigerator. This provides a more useful function when the learner needs to move the learner more, ignoring the predicted movement path within a specific space, or when the difficulty of learning is increased.

As described above, segment information is output to the IoT device 30 based on the learner's location. If the learner is close to the specific IoT device 30 for a long time, in other words, the learner is connected to the specific IoT device 30 for a long time. If it stays, the IoT device 30 may additionally include a proximity sensor to output segment information for as long as the time the learner is located according to sensing by the proximity sensor.

As another embodiment, the device management module 200 may include an information classification unit 220, and accordingly, the proximity output instruction unit 210 may include a divided transmission part 212.

As described above, the information classification unit 220 serves to classify the feedback information into a plurality of segment information based on a predetermined output order.

The divided transmission part 212 provides a function of transmitting the segment information for each IoT device 30.

At this time, in order to transmit segment information to the IoT device 30, the IoT device 30 may include a communication unit, and the segment information includes not only the order in which the feedback information is output, but also the time point and the output time. Can be.

Here, the divided transmission part 212 does not output the feedback information to the IoT device 30 based on the learner's position, unlike the sequential output part 211 of the above-described proximity output indicating unit, but the movement and position of the learner. Regardless, by transmitting segment information to the IoT device 30 in advance, feedback information may be output.

Accordingly, the terminal management module 100 may include a sequence guide 110.

The order guide 110 serves to guide the learner of the location order information of the IoT device 30 in which the learner will be located according to the output order.

For example, the question is "What if I like games in English?", the segment information is "I", "like", "games", "I" on the refrigerator, "like" on the electronic clock, and electronic When segment information is transmitted to the IoT device 30 so that “games” is output in the range, “refrigerator, electronic clock, and microwave” become position order information, and this may be guided to the learner. Such location order information may be transmitted to the learner terminal 20 and output to the learner terminal 20.

5 is a conceptual diagram illustrating an embodiment of a touch area provided through a learner terminal.

When the above-described proximity output instruction unit 210 includes the sequential output part 211 or the divided transmission part 212, the learner terminal 20 includes a touch screen, a learning game providing module 21, and a touch value calculating module 22. ) Can be included.

A touch screen equipped with a touch sensor is an input device that gives a specific command to a computer by inputting various data such as simple contact with a finger or a pen or drawing a character or picture. Since it may be a known display itself, a detailed configuration and description thereof will be omitted since it is already a well-known technology.

The learning game providing module 21 provides a function of providing a game for instructing the learner to touch the touch screen. In this case, the learning game may be a game related to the content of learning, or may be a simple touch game regardless of the content of learning. For example, shooting games, arcade games, adventure games, simple quiz games, etc., can be games that are played using touch. After the learning game is finished, the learning game results are won or lost, the learner's learning game score, and the average learning of all learners. Game scores and the like may also be provided.

For example, referring to FIG. 5, it can be seen that the display of the learner terminal 20 is divided into a plurality of areas. It is possible to guide the learner to touch a specific area (target area) according to the content of the game and the progress guide. Do. At this time, for example,'area 1'may be designated as a target area, and the touch pressure, number of touches, and touch time may be calculated based on when the learner touches this area 1.

The touch value calculation module 22 performs a role of calculating a touch value by analyzing the touch pressure, the number of touches, and the touch time of the touch.

In this case, the touch value may be calculated using Equation 1 below.

Equation 1.

는 터치 수치,

는 터치 횟수,

는 터치 압력,

는 터치 시간,

는 학습자의 연령,

는 전체 학습자들의 평균 연령,

는 게임 가중치(이때,

)를 의미한다.here,

Is the touch figures,

Is the number of touches,

Is the touch pressure,

Is the touch time,

Is the learner's age,

Is the average age of all learners,

Is the game weight (in this case,

Means ).

Equation 1 is an equation for calculating a touch value based on the number of touches, the touch pressure, the touch time, and the learner's age.

Specifically, the number of touches is the number of times a learner touches the learner's terminal 20 while playing the game. At this time, since the touch value is proportional to the number of touches, it is preferable that the game is an advantageous game as the number of touches increases. In this case, if the game is played multiple times, the number of touches may be a total number of touches or an average number of touches a plurality of times. The touch pressure is the pressure at which the learner touches the learner's terminal 20 when playing the game, and the higher the touch pressure is, the higher the concentration on the game is determined, so the touch value may increase proportionally, and the unit is kg/cm ² Can be used. The touch time is a time when the learner touches the learner terminal 20 once, and the greater the touch time is, the higher the accuracy of the touch is determined, so that the touch value increases proportionally.

는 전체 학습자들의 평균 연령 대비, 해당 학습자의 연령 비율의 역수로서, 학습자가 전체 학습자들의 평균 연령보다 어릴수록 다른 학습자들에 비해 게임 실력이 낮을 것이라고 판단하여 이에 대해 터치 수치에 반비례하여 베네핏을 줄 수 있다. 게임 가중치는 게임 마다 요구되는 터치 횟수 또는 난이도에 대한 조절 수치로서 터치 횟수가 많이 요구되는 게임 또는 난이도가 어려운 게임일수록 모든 학습자들의 평균적인 터치 횟수가 증가하게 되므로, 다른 게임과 조절하기 위해 게임 가중치가 낮게 설정될 수 있다. 반대로, 터치 횟수가 많이 요구되지 않거나 난이도가 낮은 게임일수록 모든 학습자의 터치 횟수가 감소하게 되므로, 이를 다른 게임과 조절하기 위해 게임 가중치가 높게 설정될 수 있는 것이다.Also,

Is the reciprocal of the age ratio of the learner to the average age of all learners.As a learner is younger than the average age of all learners, it is judged that the game ability will be lower than that of other learners. have. The game weight is an adjustment value for the number of touches or difficulty required for each game, and the average number of touches of all learners increases as the number of touches is required for a game that requires a large number of touches or a game with difficult difficulty. Can be set low. Conversely, since the number of touches of all learners decreases as the number of touches is not required or the number of touches of all learners decreases in a game with low difficulty, the game weight may be set higher in order to control this with other games.

를 산출하면 다음과 같다.At this time, learner A played Game B, the number of touches was 50, the touch pressure was 0.08kg/cm ² , the touch time per touch was 0.1 seconds, the learner's age was 6, and the average age of all learners was 8. , When the game weight is 2, the touch value through Equation 1

Is calculated as follows.

The result of calculating the above-described example touch value through Equation 1 is 10.60. In this way, the learner's touch value can be calculated through Equation 1, and the touch value can be compared with other learners.

Equation 1 has the advantage of being able to fairly calculate the number of touches in that the number of touches, pressure, and time are basically considered, as well as the learner's age and game difficulty.

Accordingly, the terminal management module 100 may include a hint providing unit 120.

The hint providing unit 120 performs a function of providing a hint for the problem according to the high or low level of the touch value. At this time, a method of providing a hint can be set in various ways, for example,'providing a hint when a touch value of 10 points or more' or'touch value 0 to 5 points: 1 hint, a touch value 5 to 10 points: a hint 2, touch value 10 points or more: 3 hints, etc., can be set, and such criteria can be set through the administrator of the system 1 or the learner's parent terminal.

As another embodiment, the learner terminal 20 may include a learner pattern analysis module 23.

The learner pattern analysis module 23 interlocks with the touch value calculation module to identify a learner's touch pattern and then provides a function of calculating a pattern value based on the touch pattern.

At this time, in order to specifically identify the learner's touch pattern, the learner pattern analysis module may additionally include a repetition pattern grasp unit 24 and a peculiar pattern grasp unit 25, and the repetition pattern information and the peculiar pattern information Thus, the touch pattern can be grasped.

The repetition pattern grasping unit 24 serves to determine the number of touches of the touch screen touched by the learner through the touch sensor as repetition pattern information. For example, when the learner plays a game, A of the touch screen is When an area (for example,'area 1'in FIG. 5 is touched 5 times, and an area B of the touch screen (eg, area 2, 3, and 4 in FIG. 5) is touched 9 times, it can be recognized as repetitive pattern information. At this time, the repetition pattern information may be the number of times the learner touches the touch screen through the touch sensor of the touch screen.

In this case, the area of the touch screen may be divided into 4 divisions, 8 divisions, etc. based on the touch screen, and the criteria for this area may be set in advance or may be set through the administrator of the system 1.

The singular pattern grasping unit 25 provides a function of identifying the number of touches of an area other than the repetitive pattern information touched by the learner as singular pattern information, and the singular pattern information is a pattern that the learner generally touches when playing a game. It means a touch pattern that deviates from.

For example, when a game that can pass by touching area A of the touch screen 5 times and area B of the touch screen 9 times is in progress, touching area A 5 times and area B 9 times is a repetitive pattern, If the area C is touched twice and the area D 3 times, it is a pattern that deviates from the repetition pattern, so it can be stored as singular pattern information. Such a peculiar pattern may be recognized as a touch pattern irrelevant to the progress of the game.

Accordingly, the touch value calculation module 22 may reset the touch value by reflecting the pattern value to the touch value, and this pattern value may be calculated through Equation 2 below.

Equation 2.

는 패턴수치,

는 반복패턴 정보

에 해당하는 터치 횟수,

는 특이패턴 정보

에 해당하는 터치 횟수,

은 상기 반복패턴 정보의 총 개수,

은 상기 특이패턴 정보의 총 개수를 의미한다.here,

Is the pattern value,

Is the repeating pattern information

The number of touches corresponding to,

Is the singular pattern information

The number of touches corresponding to,

Is the total number of the repetition pattern information,

Denotes the total number of the singular pattern information.

Equation 2 is an equation that calculates the learner's pattern value based on the repetition pattern information and the singular pattern information, which is a function to statistically quantify the learner's touch pattern using a method of calculating the variance estimate of the Mann-Kendall statistic value. Provides.

At this time, the Mann-Kendall statistical value analysis method is a part of the non-parametric statistical analysis method, and has generally been applied only to statistics such as the calculation of pollution values or precipitation, but in calculating the above-described learner's touch pattern, the Mann-Kendall statistical value By introducing the analysis method, it is possible to perform statistical analysis related to the learner's repetition and singular patterns.

That is, by calculating the pattern value of the learner through such statistical analysis, the reliability of grasping the learner's touch pattern can be improved, and more standardized and numerical pattern value can be calculated.

Further, the feedback information may be composed of a sentence including at least one English word, and the central control server 10 may include an English word analysis module 400.

In this case, the English word analysis module 400 includes a level setting unit 410 and a weighting unit 420.

The level setting unit 410 provides a function of setting a custom level of English words by evaluating English proficiency for the learner. In this case, in order to evaluate the learner's English proficiency, a separate English word test may be performed for the learner, and the learner's level of English word alignment may be determined. For example, as a result of evaluating a learner's English proficiency, a result of the learner's English proficiency may be at the'lower grade level'.

The weighting unit 420 performs a role of assigning a weight by reflecting the alignment level to an English word included in the feedback information, and may provide feedback information according to an eye level of the learner's English proficiency.

For example, as feedback information on the word "important", "Key", "Important", "Significant", and "Vital" may be provided according to the learner's English proficiency. For example, it is possible to provide feedback information such as "Key" to learners with the lowest English proficiency and "Significant" to learners with high English proficiency.

In this case, the weight may be calculated through Equation 3 below.

Equation 3.

는 가중치,

는 상기 피드백 정보 내에서 영어 단어

의 난이도(이때,

),

는 상기 피드백 정보 내 한글 단어의 수,

는 상기 피드백 정보 내에 영어 단어

가 등장할 확률,

는 상기 피드백 정보 내에 영어 단어

가 등장하지 않을 확률을 의미한다.here,

Is the weight,

Is an English word within the above feedback information

Difficulty of (at this time,

),

Is the number of Korean words in the feedback information,

Is an English word within the feedback information

The probability of appearing,

Is an English word within the feedback information

Means the probability of not appearing.

Equation 3 is an equation for calculating weights based on the frequency of appearance of English words included in the feedback information and the probability of their appearance.In addition to the frequency of appearance of English words in the feedback information, the difficulty of English words and English words are fed back. Feedback information can be derived more accurately by considering the probability distribution that appears in the information.

At this time, the difficulty of an English word can be expressed as 1 to 10, and the higher the level is, the higher the level is, the higher the level is, the lower the level is, the very basic level of the English word. In addition, as the number of Korean words in the feedback information increases, it is determined that the learner's English level is low, so that the weight decreases in inverse proportion.

가 각각 0.5, 0.6, 0.7,

가 0.5, 0.4, 0.3일 때, 영어 단어 2에 대한 가중치

를 상기 수학식 3에 의해 산출하면 다음과 같다.For example, the difficulty of English words 1 to 3 in the feedback information is 5, 2, and 2, respectively, and the number of Korean words in the feedback information is 3,

Is 0.5, 0.6, 0.7, respectively

Is 0.5, 0.4, or 0.3, the weight for English word 2

Is calculated by Equation 3 above.

는 2.02로서, 이와 같은 방법으로 피드백 정보 내 포함된 영어 단어 각각에 대한 가중치를 산출할 수 있다. 이러한 가중치는 피드백 정보에 포함된 영어 단어에 대한 레벨을 나타내는 값이라고 할 수 있다.That is, the weight for English word 2

Is 2.02, and in this way, a weight for each English word included in the feedback information can be calculated. This weight can be said to be a value indicating the level of the English word included in the feedback information.

Accordingly, the device management module 200 may include a custom setting unit 230.

The custom setting unit 230 performs a function of reconstructing English words included in the feedback information according to the weight. That is, if the weight is calculated high, feedback information may be provided using an English word having a high difficulty among English words of several synonyms that exist for one meaning. For example, if the English word "important" is expressed as "Key" in the feedback information, the English word may be expressed as "Important" according to the weight.

As described so far, the configuration and operation of the IoT-based learning providing system proceeding in the problem solving method according to the present invention are expressed in the above description and drawings, but this is only an example, and the spirit of the present invention is described above. And it is not limited to the drawings, and various changes and changes are possible without departing from the technical spirit of the present invention.

1: System 10: Central control server
20: learner terminal 21: learning game providing module
22: touch numerical calculation module 23: learner pattern analysis module
24: repetition pattern identification unit 25: unusual pattern identification unit
30: IoT device 100: terminal management module
110: procedure guide 120: hint providing unit
200: device management module 210: proximity output instruction unit
211: sequential output part 212: split transmission part
220: information classification unit 230: customized setting unit
300: positioning module 400: English word analysis module
410: level setting unit 420: weighting unit

Claims (11)

As an IoT-based learning provision system that proceeds in a problem-solving method,
A touch screen equipped with a touch sensor, a learning game providing module that provides a game instructing a learner to touch the touch screen, and a touch value calculating a touch value by analyzing the touch pressure, the number of touches, and the touch time of the touch A learner terminal including a calculation module;
An IoT device disposed in a specific space and having an output means of either visual or audio;
A terminal management module that provides a problem to the learner terminal,
A location identification module for identifying the location of the learner's terminal, and
An information classification unit that provides feedback information consisting of at least one of a correct answer to the problem, a hint, and the problem and other problems to the IoT device, and classifies the feedback information into a plurality of segment information based on a predetermined output order And, a device management module including a proximity output indicator having a sequential output part for sequentially outputting the segment information to the IoT device according to the output order according to an order in which the learner terminal approaches the IoT device. Including a central control server;
The terminal management module,
Including a hint providing unit for providing a hint for the problem according to the height of the touch value,
The touch value calculation module,
A learning providing system, characterized in that the touch value is calculated using the following Equation 1.
Equation 1.

(here,

Is the touch figures,

Is the number of touches,

Is the touch pressure,

Is the touch time,

Is the learner's age,

Is the average age of all learners,

Is the game weight (in this case,

)) The method of claim 1,
The learner terminal,
A learner pattern analysis module for calculating a pattern value based on the touch pattern after grasping a learner's touch pattern in connection with the touch value calculation module,
The touch value calculation module,
The learning providing system, characterized in that the touch value is reset by reflecting the pattern value to the touch value. The method of claim 2,
The learner pattern analysis module,
A repetition pattern grasping unit for determining the number of times the learner touches the touch screen as repetition pattern information
A singular pattern grasping unit for identifying the number of touches of an area other than the repetitive pattern information touched by the learner as singular pattern information,
The learning providing system, characterized in that to grasp the touch pattern based on the repetition pattern information and the singular pattern information. The method of claim 3,
The pattern value is,
A learning providing system, characterized in that it is calculated through the following equation (2).
Equation 2.

(here,

Is the pattern value,

Is the number of touches corresponding to the repetition pattern information a,

Is the number of touches corresponding to the singular pattern information b,

Is the total number of the repetition pattern information,

Is the total number of the singular pattern information) The method of claim 1,
The feedback information,
Consists of sentences containing at least one English word,
The central control server,
A level setting unit that evaluates English proficiency for the learner and sets a custom level of English words;
Including; an English word analysis module having a weighting unit for assigning a weight by reflecting the alignment level to the English word included in the feedback information; Including,
The device management module,
And a custom setting unit configured to reconstruct an English word included in the feedback information according to the weight. The method of claim 5,
The weighting unit,
The learning providing system, characterized in that calculating the weight through the following equation (3).
Equation 3.

(here,

Is the weight,

Is an English word within the above feedback information

Difficulty of (at this time,

),

Is the number of Korean words in the feedback information,

Is an English word within the feedback information

The probability of appearing,

Is an English word within the feedback information

Probability of not appearing)
delete delete delete delete delete

Images