KR20160149354A - Method for providing global social foreign language study, global social foreign language study provision server performing the same, and storage medium storing the same - Google Patents
Method for providing global social foreign language study, global social foreign language study provision server performing the same, and storage medium storing the same Download PDFInfo
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- KR20160149354A KR20160149354A KR1020150085964A KR20150085964A KR20160149354A KR 20160149354 A KR20160149354 A KR 20160149354A KR 1020150085964 A KR1020150085964 A KR 1020150085964A KR 20150085964 A KR20150085964 A KR 20150085964A KR 20160149354 A KR20160149354 A KR 20160149354A
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- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
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Abstract
The present invention provides a global social foreign language learning providing method performed by a global social foreign language learning providing server connectable to a first user terminal of a user having a first language as a first language and a second user terminal of a user having a second language as a first language (a) matching the first user terminal and the second user terminal using a matching algorithm based on a first language and a desired language of learning, (b) (C) normalizing learning data of the first language; and (d) providing the learning data of the standardized first language to the second user terminal, wherein the second user terminal And performing learning of the first language based on the learning data of the first language.
Description
The present invention relates to a technology for providing foreign language learning, and more particularly, to a global social language learning providing method that provides a foreign language learning using a variety of pronunciation and accents used by native speakers in daily life.
In general, the best way to acquire a natural language is to increase contact with native speakers who use that language as their native language. In fact, it is very difficult to reach a level that is able to speak spontaneously in spite of attempting to learn a language through various teaching methods such as academy and textbooks, and finally it has not reached the effect of learning the language naturally through the life with native speakers in the local area.
However, in reality, it is difficult for many people who want to learn foreign languages to achieve their learning goals by increasing contact with local people through studying abroad or language training. Even if you go to a lot of language training courses, there are a lot of cases that fail to achieve your goals.
Therefore, there is a need for a foreign language learning method that can increase the contact with native speakers in the home country and effectively achieve the learning target of the foreign language learning.
Korean Patent No. 10-1054052 relates to a system for providing a foreign language learning using a blank of a sentence, in which a sentence consisting of a foreign language is selectively presented along with a sentence translated into a national language for each learning stage, and a specific word in the sentence is processed as a blank The learner can learn the words in the blank while learning the listening and speaking, dictation, and reading and writing methods in sequence, but the textbook language learning Because data is used, there is still a problem that the learner does not have access to various pronunciation and accents that native speakers use in everyday life.
The object of the present invention is to provide a method of providing global social foreign language learning that connects people from other countries who want to learn each other's mother tongue through mobile service and enables the native speaker to learn the language through various pronunciation and accents used in actual daily life .
According to a first aspect of the present invention, there is provided a global social foreign language learning service capable of connecting with a first user terminal of a user having a first language as a first language and a second user terminal of a user having a second language as a first language (A) matching the first user terminal and the second user terminal using a matching algorithm based on a native language and a language desired for learning, (b) (C) normalizing the learning data of the first language, and (d) comparing the learning data of the standardized first language with the learning data of the second language And causing the second user terminal to perform the learning of the first language based on the learning data of the first language.
Preferably, the step (a) may include detecting a candidate user terminal whose language is the same as the language desired by the second user terminal.
The step (a) may include calculating a matching score for each of the candidate user terminals based on a place of birth, a place of residence, sex, age, or reliability when the candidate user terminal has a plurality of candidate user terminals .
Preferably, the step (a) may include sequentially attempting to match each candidate user terminal based on the matching score to determine the first user terminal.
Preferably, the step (b) further comprises: providing an instruction text of a first language to the first user terminal, generating audio data of the audio form recorded by the user of the first user terminal based on the instruction of the first language, And receiving the data.
Preferably, the step (c) may include a step of removing a block in which a portion of the block of the learning data is lower than a predetermined level and a portion of the block of the learning data lower than a predetermined level, and reordering the header by the removed block.
Preferably, the step (c) further comprises: extracting a maximum value of a level in the block of the re-adjusted learning data, calculating an amplification value based on the maximum value of the level, applying the amplification value to the block of the re- .
Preferably, the step (d) includes the steps of (d-1) generating a first language learning problem based on the standardized learning data and providing the first language learning problem to the second user terminal, (d-1) (D-3) checking whether the answer is the correct answer to the first language learning problem, and receiving the first language learning problem result from the second language learning problem To the user terminal.
Preferably, (e) receiving learning data of the second language generated from the second user terminal, (f) normalizing the learning data of the second language, and (g) And providing the language learning data to the first user terminal so that the first user terminal performs the learning of the second language based on the learning data of the second language.
Preferably, the learning data may be classified by language type and stored in a language database.
According to a second aspect of the present invention, there is provided a global social language learning providing server, comprising: a matching unit for matching a first user terminal and a second user terminal using a matching algorithm based on a mother language and a language desired for learning; A learning data receiving unit for receiving learning data of the first language generated from the first user terminal, a standardizing unit for normalizing the learning data of the first language, and a learning unit for learning data of the standardized first language, And a learning execution management unit for providing the first language to the terminal and allowing the second user terminal to perform the learning of the first language on the basis of the learning data of the first language, And the second user terminal is associated with a user whose mother tongue is the second language.
Preferably, the matching unit may detect a candidate user terminal whose language is the same as the language of the second user terminal.
Preferably, the matching unit may calculate a matching score for each of the candidate user terminals based on a place of birth, a place of residence, sex, age, or reliability when there are a plurality of candidate user terminals.
Preferably, the matching unit may determine the first user terminal by sequentially attempting to match each candidate user terminal based on the matching score.
Preferably, the learning data receiving unit provides the instruction of the first language to the first user terminal, receives the audio data of the audio form recorded by the user of the first user terminal based on the instruction of the first language can do.
Preferably, the normalization unit may include a trimming module that removes a block in which a portion of the learning data is less than or equal to a specific level and a portion that is less than a specific level, and resets the header by the removed block.
Preferably, the normalizing unit may include a leveling module for extracting a maximum value of a level in the block of the re-adjusted learning data, calculating an amplification value based on the maximum value of the level, and applying the amplification value to a block of the re- . ≪ / RTI >
Preferably, the learning management unit includes: a learning problem generation and provision module for generating a first language learning problem based on the standardized learning data and providing the first language learning problem to the second user terminal; A learning question answer receiving module for receiving a response to a question and a learning question for providing a result of performing the first language learning question to the second user terminal by checking whether the answer is an answer to the first language learning question And a result output and provision module.
As described above, according to the present invention, a native speaker can learn a foreign language by using a language used in actual daily life through a mobile service, so that it is possible to obtain the effect of living with a native speaker in his / her own country without studying or studying abroad, This makes it possible to learn the language naturally, and thus it is possible to learn a foreign language in a fun and effective manner.
1 is a block diagram of a global social foreign language learning providing system according to a preferred embodiment of the present invention.
2 is a block diagram of the global social foreign language learning providing server of FIG.
3 is a block diagram of the standardization unit of FIG.
FIG. 4 is a block diagram of the learning management unit of FIG. 2. FIG.
FIG. 5 is a flowchart illustrating a global social foreign language learning providing method performed in the global social foreign language learning providing system of FIG. 1;
6 is a block diagram of a matching algorithm according to an embodiment of the present invention.
Figure 7 is an illustration of a standardization algorithm.
BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will be more apparent from the following detailed description taken in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification. "And / or" include each and every combination of one or more of the mentioned items.
Although the first, second, etc. are used to describe various elements, components and / or sections, it is needless to say that these elements, components and / or sections are not limited by these terms. These terms are only used to distinguish one element, element or section from another element, element or section. Therefore, it goes without saying that the first element, the first element or the first section mentioned below may be the second element, the second element or the second section within the technical spirit of the present invention.
Also, in each step, the identification code (e.g., a, b, c, etc.) is used for convenience of explanation, and the identification code does not describe the order of each step, Unless the order is described, it may happen differently from the stated order. That is, each step may occur in the same order as described, may be performed substantially concurrently, or may be performed in reverse order.
The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. It is noted that the terms "comprises" and / or "comprising" used in the specification are intended to be inclusive in a manner similar to the components, steps, operations, and / Or additions.
Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.
In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The following terms are defined in consideration of the functions in the embodiments of the present invention, which may vary depending on the intention of the user, the intention or the custom of the operator. Therefore, the definition should be based on the contents throughout this specification.
1 is a block diagram of a global social foreign language learning providing system according to a preferred embodiment of the present invention.
Referring to FIG. 1, the global social foreign language
Here, the communication network may be a high-speed periodic communication network of a large communication network capable of a large-capacity, long-distance voice and data service, and may be a next-generation wireless network including WiFi, Wibro, and Wimax for providing Internet or high- .
At this time, the Internet can be classified into various services existing in the TCP / IP protocol and its upper layers such as Hyper Text Transfer Protocol (HTTP), Telnet, File Transfer Protocol (FTP), Domain Name System (DNS) (Hereinafter, referred to as a " Mail Transfer Protocol "), Simple Network Management Protocol (SNMP), Network File Service (NFS), Network Information Service (NIS) To be connected to the network. Meanwhile, the Internet may be a wired or wireless Internet, or may be a core network integrated with a wired public network, a wireless mobile communication network, or a portable Internet.
If the communication network is a mobile communication network, it may be a synchronous mobile communication network or an asynchronous mobile communication network. As an embodiment of the asynchronous mobile communication network, a WCDMA (Wideband Code Division Multiple Access) communication network is exemplified. In this case, although not shown in the drawing, the mobile communication network may include a Radio Network Controller (RNC). Meanwhile, although the WCDMA network is exemplified, it may be a next generation communication network such as a 3G LTE network or a 4G network, or an IP network based on other IP. Such a communication network transmits and receives signals and data between the
The
That is, the
The control unit is a generic term for controlling the operation of the
The control unit loads at least one program code included in the
The memory unit is a general term of a non-volatile memory included in the
The screen output unit includes a screen output device (e.g., an LCD (Liquid Crystal Display) device) and an output module for driving the screen output device. The screen output unit is connected to the control unit through a bus, And outputs it to the screen output device.
The key input unit is composed of a key input device having at least one key button (or a touch screen device interlocked with the screen output unit) and an input module for driving the key input unit. The control unit is connected to the control unit via a bus, Or inputs data necessary for the operation of the control unit.
The sound output unit includes a speaker for outputting a sound signal and a sound module for driving the speaker. The sound output unit is connected to the control unit through a bus, and outputs a result of operation corresponding to the sound output from the various operation results of the control unit through the speaker . The sound module decodes sound data to be output through the speaker and converts the sound data into a sound signal.
The sound input unit includes a microphone for receiving a sound signal and a sound module for driving the microphone, and transmits the sound data input through the microphone to the control unit. The sound module encodes and encodes a sound signal input through the microphone.
The camera unit includes an optical unit, a CCD (Charge Coupled Device) and a camera module for driving the CCD unit, and obtains bitmap data input to the CCD through the optical unit. The bitmap data may include both still image data and moving image data.
The wireless network communication module is a collective term for communicating wireless communication and includes at least one antenna, an RF module, a baseband module, and a signal processing module for transmitting and receiving a radio frequency signal of a specific frequency band. And transmits the calculation result corresponding to the wireless communication among the various calculation results of the control unit through the wireless communication or receives the data through the wireless communication and transmits the data to the control unit, , Communication, and handoff procedures.
Also, the wireless network communication module includes a mobile communication structure for performing at least one of connection, location registration, call processing, call connection, data communication, and handoff to a mobile communication network according to the CDMA / WCDMA standard. Meanwhile, according to the intention of those skilled in the art, the wireless network communication module may further include a portable Internet communication structure for performing at least one of connection to the portable Internet, location registration, data communication, and handoff according to the IEEE 802.16 standard, It is evident that the present invention is not limited by the wireless communication configuration provided by the communication module.
The short-range wireless communication module is composed of a short-range wireless communication module for connecting a communication session using a radio frequency signal as a communication medium within a predetermined distance. Preferably, the short-range wireless communication module includes RFID communication, Bluetooth communication, Wi- And wireless communication. The short-range wireless communication module may be integrated with the wireless network communication module.
The
In one embodiment, the global social foreign language
The global social foreign language
The
In one embodiment, the learning data stored and managed for each language in the
2 is a block diagram of the global social foreign language learning providing server of FIG.
2, the global social foreign language
The matching unit 210 matches the
In one embodiment, matching can be done randomly with only the language of the mother tongue and the desired language of learning, or through a matching algorithm that refers to indicators such as mother tongue, desired language of learning, age, sex, learning history, and user confidence. The matching algorithm will be described in more detail with reference to FIG.
Referring to FIG. 6, each of the
The matching unit 210 may determine that the
If only one user terminal is included in the candidate group, the matching unit 210 may determine the corresponding user terminal as the
Then, the matching unit 210 sequentially matches the candidate user terminals on the basis of the matching score, determines a
The learning data receiving unit 220 receives the learning data of the first language generated from the
In one embodiment, the learning data receiver 220 may provide a first language instruction to the
The learning data receiving unit 220 may provide an instruction appropriate to the learning level of the
Also, when the
The
The trimming module 310 may remove a block in which a portion lower than a specific level and a portion lower than a specific level are held in a block of learning data and readjust the header by the removed block. Referring to FIG. 7, FIG. 7A shows original learning data, and FIG. 7B shows learning data adjusted through the trimming module 310. That is, through the trimming module 310, the learning data can be adjusted from the data shown in FIG. 7A to the data shown in FIG. 7B.
The leveling module 320 extracts the maximum value of the level from the block of learning data readjusted by the trimming module 310, calculates the amplification value based on the maximum value of the level, It can be applied to blocks. That is, through the leveling module 320, the learning data can be adjusted so that the difference in the volume of the learning data according to the recording environment is corrected to have a constant level of volume. Referring to FIG. 7, (c) of FIG. 7 shows learning data adjusted through the leveling module 320. FIG. That is, through the leveling module 320, the learning data can be adjusted to the same data as shown in FIG. 7 (c) in the data as shown in FIG. 7 (b) to have a constant level of volume.
The
That is, the
The learning
The learning problem generation module 410 generates a first language learning problem based on the standardized learning data through the
Also, the learning problem generation module 410 can generate and provide a learning problem by adjusting the difficulty level based on the level of the learning execution result of the
The learning question answering module 420 receives an answer to the first language learning question from the
The learning problem result calculating module 430 checks whether the answer received through the learning question answering module 420 is the correct answer to the first language learning question and outputs the result of performing the first language learning question to the second user terminal 112 ). In one embodiment, the learning problem result calculation module 430 performs automatic grading on the contents inputted by the user, provides rewards such as mileage when the answer is correct, and services such as retry or mileage deduction when the answer is incorrect .
In addition, the learning problem result calculating module 430 can update the learning result level in real time based on whether the answer received through the learning question answering module 420 is the correct answer. For example, if the level of the learning performance is based on the percentage of correct answer (level 1, 20-40%: level 2, 40-60%: level 3, 60-80% : level 5}, the learning question answer receiving module 420 calculates the learning result level in real time based on whether the answer received from the
The
FIG. 5 is a flowchart illustrating a global social foreign language learning providing method performed in the global social foreign language learning providing system of FIG. 1;
The matching unit 210 of the global social foreign language
The learning data receiving unit 220 receives the learning data of the first language generated from the first user terminal 111 (step S520). In this case, the
The normalizing
The learning
5, the
That is, in one embodiment, if the
Meanwhile, the global social language learning providing method according to an embodiment of the present invention can also be implemented as a computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.
For example, the computer-readable recording medium includes a ROM, a RAM, a CD-ROM, a magnetic tape, a hard disk, a floppy disk, a removable storage device, a nonvolatile memory, , And optical data storage devices.
In addition, the computer readable recording medium may be distributed and executed in a computer system connected to a computer communication network, and may be stored and executed as a code readable in a distributed manner.
Although the preferred embodiments of the global social foreign language learning providing method, the foreign language learning providing server and the recording medium storing the global social foreign language learning providing method according to the present invention have been described, the present invention is not limited thereto, It is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
100: Global Social Language Learning System
110: User terminal
120: Global social foreign language learning provision server
130: Language database
210:
220: learning data receiver
230:
240:
250:
310: trimming module
320: Leveling module
410: Learning Problem Generation Module
420: Learning Question Answer Receiving Module
430: Learning problem result output module
Claims (19)
(a) matching the first user terminal and the second user terminal using a matching algorithm based on a native language and a desired language of learning;
(b) receiving learning data of the first language generated from the first user terminal;
(c) normalizing the learning data of the first language; And
(d) providing learning data of the standardized first language to the second user terminal, and causing the second user terminal to perform the learning of the first language on the basis of the learning data of the first language How to Provide Global Social Language Learning Included.
And detecting a candidate user terminal whose language is the same as a language desired by the second user terminal.
And calculating a matching score based on a place of birth, a place of residence, sex, age, or reliability for each of the candidate user terminals when the candidate user terminals are plural.
And determining the first user terminal by sequentially attempting matching for each of the candidate user terminals based on the matching score.
The method comprising the steps of: providing an instruction text of a first language to the first user terminal and receiving learning data of audio form recorded by a user of the first user terminal on the basis of an instruction sentence of the first language; Global Social Language Learning Delivery Methodology.
Removing a block in which a portion of the learning data in a block lower than a specific level and a portion in a block lower than a specific level are maintained and rearranging the header by the removed block.
Extracting a maximum value of the level from the block of the re-adjusted learning data, calculating an amplification value based on the maximum value of the level, and applying the amplification value to the block of the re-adjusted learning data Global social language learning delivery method.
(d-1) generating a first language learning problem based on the standardized learning data and providing the first language learning problem to the second user terminal;
(d-1) receiving an answer to the first language learning problem from the second user terminal; And
(d-3) checking whether the answer is the correct answer to the first language learning problem, and providing the result of the first language learning problem to the second user terminal. Learning delivery method.
(e) receiving learning data of the second language generated from the second user terminal;
(f) normalizing the learning data of the second language; And
(g) providing learning data of the standardized second language to the first user terminal, and allowing the first user terminal to perform learning of the second language based on the learning data of the second language And providing a global social language learning service.
And the language is classified into a language class and a language database.
A learning data receiver for receiving learning data of the first language generated from the first user terminal;
A standardization unit for standardizing the learning data of the first language; And
And a learning execution management unit for providing the standardized learning data of the first language to the second user terminal and allowing the second user terminal to perform the learning of the first language on the basis of the learning data of the first language and,
Wherein the first user terminal is associated with a user having a first language as a mother language, and the second user terminal is associated with a user having a second language as a mother language.
And detects a candidate user terminal whose language is the same as the language desired by the second user terminal.
Wherein when the plurality of candidate user terminals are plural, a matching score is calculated for each of the candidate user terminals based on a place of birth, a place of residence, sex, age, or reliability.
And determines the first user terminal by sequentially attempting to match each candidate user terminal based on the matching score.
Wherein the first language language instruction is provided to the first user terminal and the learning data of the audio form recorded by the user of the first user terminal is received based on the instruction of the first language. Learning delivery server.
And a trimming module that removes a block in which a portion of a level lower than or equal to a specific level and a portion lower than a specific level are maintained in the block of the learning data and rearranges the header by the removed block.
And a leveling module for extracting a maximum value of the level from the block of the re-adjusted learning data, calculating an amplification value based on the maximum value of the level, and applying the amplification value to the block of the re-adjusted learning data. Global social foreign language learning provision server.
A learning problem generation and provision module for generating a first language learning problem based on the standardized learning data and providing the first language learning problem to the second user terminal;
A learning question answer receiving module that receives answers to the first language learning questions from the second user terminal; And
And providing a result of the first language learning problem to the second user terminal by checking whether the answer is the correct answer to the first language learning problem, Foreign language learning server.
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KR101054052B1 (en) | 2011-04-29 | 2011-08-03 | 비전워크코리아(주) | System for providing foreign language study using blanks in sentence |
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