KR20090061535A - The guide using artificial intelligence for language study - Google Patents

The guide using artificial intelligence for language study Download PDF

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Publication number
KR20090061535A
KR20090061535A KR1020070128569A KR20070128569A KR20090061535A KR 20090061535 A KR20090061535 A KR 20090061535A KR 1020070128569 A KR1020070128569 A KR 1020070128569A KR 20070128569 A KR20070128569 A KR 20070128569A KR 20090061535 A KR20090061535 A KR 20090061535A
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KR
South Korea
Prior art keywords
learning
language
learner
artificial intelligence
user
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KR1020070128569A
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Korean (ko)
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김동환
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김동환
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Priority to KR1020070128569A priority Critical patent/KR20090061535A/en
Publication of KR20090061535A publication Critical patent/KR20090061535A/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • G09B19/06Foreign languages
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-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

Abstract

The present invention relates to a method of presenting an effective language learning method when studying a language in various ways, and helping a learner to effectively learn with an interest in language learning by establishing a study plan for the learner.

In the case of language, you have to learn steadily, and various methods for learning can be used effectively for learning. It is to induce the learner's willingness to learn and to teach the learner online or automatically as needed. The present invention is characterized by using a personal computer, a device using an embedded system, a language learner, and the like, and using an artificial intelligence algorithm to personally teach a learner or a user's options and questions through an Internet home page. .

Description

The guide using artificial intelligence for language study}

In general, language learning is conducted through regular courses at school or by applying for courses at academy. Also, I study with my own books. Recently, more and more students are learning by using computers, Internet courses, TV courses, wireless communication devices, video courses through PMP, language learners, and MP3 players.

 An object of the present invention is to enable a language learner to study by himself or herself without any special guidance, using general media or devices, and to help improve his or her ability with an interest in learning. Learners write their own study plans, receive inputs of learning methods and progress, and receive scores through tests in the case of a system that includes language learning content to help learners have the desired level of language skills. It relates to an artificial intelligence system.

Artificial intelligence technology is a technology that allows a device to have a desired result similar to what a person thinks. This technology is widely used in robots, household washing machines, shortest distance and optimal path system, and industrial equipment. In addition, instead of doing the same thing, depending on the situation, the system finds the optimal situation and informs the person or handles a given task.

 There may be many AI algorithms, but the basic system takes several inputs, assigns weights to each, sets the thresholds for the calculated values, and compares the previous data with the previous data and calculates statistics. Learning by changing weights and thresholds.

In the case of a language school, when a regular class or lecture is taken at a school or academy, the student progresses according to the schedule set by the teacher, the instructor, and the professor. In the case of such lectures, it is difficult to reflect the individual learning ability because it involves a large number of students. In addition, in the case of using video courses, MP3 files, language learners, and language books using the Internet, learners may learn repeatedly, so it may be good to improve individual skills. However, since these lessons are aimed at a large number of users, learners should find and study materials that can help them improve their skills. In addition, it is easy to lose interest in learning because there are no sanctions in general, and it is not an interactive course but a one-way course, so the concentration on the course is low and a lot of effort is made to learn habits to learn steadily. need.

In order to solve these problems, students can create books, learn MP3 and video courses, and take a step-by-step test to improve their understanding and concentration. System is being applied. However, such a system also requires self-determination and diligent efforts in evaluating the learner's ability and learning method, and there is a burden to choose the materials and methods to study according to one's ability. . Therefore, private tutoring is often a cost burden.

In the case of telephone English, because it is conducted in a 1: 1 conversation with native speakers with learning materials and certain topics, native speakers can help improve their ability by leading the learning according to learners' ability. However, such learning is less time-consuming and can not be useful as a long-term learning method. In addition, since it is a learning done by a native speaker and a telephone, it can be helpful for conversation, but it is not useful for learning such as reading, writing, and grammar, and it is not a form of learning to meet. It is hard to expect much effect on learning.

Literature information of the prior art.

[Document 1] Artificial Intelligence Intelligence System, Cho Young-Im, Hongneung Science Publishing Co., Ltd., published October 5, 2003.

[Document 2] Language learning method through speech recognition function in a wireless communication device, patent registration number, 10-0566280.

[Document 3] Foreign language learning device and method for mobile terminal, patent registration number, 10-0679414

The existing language learning system requires learners to be actively interested in learning and make diligent efforts to improve their skills.It is difficult to receive individual guidance on learning methods. There was a difficulty to find. According to the present invention, learners may be interested in language learning by inducing motivation to learn and build an automated system that can provide instruction based on their ability according to the learner's learning amount, learning method, and learning goal from the beginning of language learning. It is to be able to. Because these systems must be based on assessment data, they require assessment scores for various tests and competency assessment data for self-developed language resources.

The present invention is based on almost all the means for learning a language and data on learning assessment, or based on self-developed language learning materials and assessment data on learning. In addition, the program schedules itself or guides the learner, and the learner schedules his / her own learning schedule and inputs it to a personal computer, a device using an embedded system, or a language learner. The internal system adds artificial intelligence algorithms to monitor whether the learner is learning on schedule and to induce the learner through e-mail, text message, or the message of the dedicated software. In addition, the current ability of the learner is tested to suggest a learning plan according to the learning objectives, and according to the learning ability of the learner, the amount of learning can be adjusted and the learning schedule can be induced.

Such a system receives a learner's current ability, learning evaluation data, and learning objectives as an input to an artificial intelligence algorithm, and outputs a learning plan and a learning amount, so that the learner can schedule a learning schedule. If the learning does not proceed according to the learning schedule, sending a learning guide message via e-mail or text message, and delivers a message to the user to induce language learning when using a dedicated program. Continuously update learning tools such as books, internet courses, and telephone English so that the latest data is available.

The present invention induces learning motivation to a user who wants to learn a language, and by individually teaching a learning algorithm by an artificial intelligence algorithm, the user can be more interested in the language and effectively work on learning. In addition, by evaluating their language ability, they can help them to find and learn the most effective way of learning the current language materials and learning methods, and they can induce them to effectively learn their own language materials. Can be.

The present invention will be described in detail with reference to the accompanying drawings.

In FIG. 1, the language database refers to language materials that are manufactured by themselves for language learning. It can exist on a server, like an Internet course, or on your computer for your convenience.

The language learning method database is about learning methods that have basic and comprehensive contents for user computers, embedded systems, and language learners. For example, textbooks, classes, and lectures (Internet courses, academic courses, video lectures, etc.) Such as language training, MP3, and so on.

Users can add their own unique language learning method, and when added, the effects of learning such as listening, dictation, speaking, grammar, reading, and writing can be added together. In addition, when new textbooks or courses are released, the contents can be automatically updated through the Internet.

This is a step to apply algorithms for specific language materials based on the above contents. It measures the learners' language skills through a test built in a simulation test or a database in their own program. For example, a user questionnaire may be input to input a language score obtained through an official language test. Based on these data, the learner's ability to learn a language is assessed by subdividing it into listening, dictation, speaking, grammar, reading, writing, and vocabulary.

As shown in 8 of FIG. 1, the learner sets learning goals for listening ability, dictation ability, speaking ability, grammar ability, reading ability, writing ability, and vocabulary, and inputs a time for learning one day or week.

The system receives data on the learner's current language ability, learning goals, and learning time and automatically creates an effective learning plan and learning schedule through AI algorithms and tests on a regular basis every day, week, month, etc. By measuring the learner's language acquisition ability, the learner knows the learner's degree of language acquisition so that the learner can learn by modifying the learning method, learning schedule, etc. In addition, a method for enabling an AI algorithm to be updated automatically or by a user by questioning an efficient learning method, a learning schedule, etc., which the learners think, is suggested.

In addition, when language learning is delayed by a lot of schedules, the schedule is re-adjusted by the user or automatically so that the learner can work on a new schedule.

2 is to inform the learning time and learning content through a computer, a device using a built-in system, a language learner, etc., if a learning method and a learning schedule are determined in the above contents. The learning time is defined through the computer for the learning schedule and the file is stored in the device using the embedded system, the language learner, and the computer, the device using the embedded system, the language learner automatically informs the learning time. It can be stored in computers and devices, and the learning contents of each device can be collected, and the user can directly input the details of the learning contents.

In addition, when learning is poor, a warning message is displayed in the form of a warning window or a text message on the screen of a device equipped with a language learning system capable of wireless communication, or the learner is not able to learn through a real-time message window or an e-mail sent to the user from the computer. Remind them to have a commitment to If the contents of learning are very poor, the learner can re-enter the learning schedule and learning method, get help from experts online, and reflect the learner's learning level in the learning ability.

Such a system can be applied to the early AI system by identifying and applying the learning contents and the learning level of a large number of learners, and applying a more reliable algorithm. It can also be used in conjunction with the system.

1 is a system structure using language data and test data and automatically informing the user of a learning schedule and a learning method when a user sets a desired learning goal.

Figure 2 is a structure of a method for sending a message that can induce a learning motivation to the learner according to the learning schedule and learning method.

Claims (6)

In a personal computer constituting a learning system with data for language learning, a device using an embedded system, a language learner, or a system for learning through the Internet, The process of classifying language learning into vocabulary, dictation, listening, speaking, reading, writing, grammar, etc. The process of evaluating the learner's ability based on the test and the learner's previous test scores, surveys, etc., When a learner inputs such as learning goals and learning time, the method automatically presents learning contents such as an effective learning method and a learning schedule through an artificial intelligence algorithm according to the assessed ability of the learner. A method for a feature that enables the above to include content that a user can modify as needed. In a system having the language data of claim 1 in a server, a personal computer for learning, or a device using an embedded system, A process of receiving contents of the language learning of claim 1 as an input, a process of applying an artificial intelligence algorithm, A server with contents that can receive the learning contents of a large number of learners as input and modify the AI algorithm, and automatically update the AI algorithm or update files to the device using the embedded system. Matters about In the device that informs the learning content by the artificial intelligence with the language material of claim 1, Learn about the learner's learning and performance within the program of the computer, the device using the embedded system, the language learner, Automatically tells you whether a language study item, such as a learning method or study schedule, is working properly for a learner, or allows a user to modify an item such as a language study schedule. In a device for learning or evaluating by the artificial intelligence with the language material of claim 1, or to inform the learning content, A process of automatically inputting and learning by a user through a homepage of a device, a language learner, a personal computer or a server using a built-in system with a study schedule; A method for learning a language having a process of evaluating and storing learning progress and learning contents based on user input data and test data, and displaying or printing the information in a form that is easy for the user to understand. In a device for learning or evaluating by the artificial intelligence with the language material of claim 1, or to inform the learning content, The process of managing the type of learning schedule as shown in 5 of 2, As shown in FIG. 2, when the learning is poor, a mobile terminal having a function of automatically notifying the matters of the learning through an internal message such as a warning message or a warning window, a text message of a mobile phone, or an e-mail using the Internet; Learn about devices, personal computers, and servers that allow you to learn languages. Learning or evaluation by artificial intelligence with the language material of claim 1, For computers that tell you what you're learning, Save things like learning, assessments, and schedules differently for different people to use together, How to manage the learning by reading the right file according to the user.
KR1020070128569A 2007-12-11 2007-12-11 The guide using artificial intelligence for language study KR20090061535A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012068160A2 (en) * 2010-11-15 2012-05-24 Age Of Learning, Inc. Computer-implemented platform with mentor guided mode
WO2012068157A2 (en) * 2010-11-15 2012-05-24 Age Of Learning, Inc. Computer-implemented system with multiple navigational modes
US8731454B2 (en) 2011-11-21 2014-05-20 Age Of Learning, Inc. E-learning lesson delivery platform
US9324240B2 (en) 2010-12-08 2016-04-26 Age Of Learning, Inc. Vertically integrated mobile educational system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012068160A2 (en) * 2010-11-15 2012-05-24 Age Of Learning, Inc. Computer-implemented platform with mentor guided mode
WO2012068157A2 (en) * 2010-11-15 2012-05-24 Age Of Learning, Inc. Computer-implemented system with multiple navigational modes
WO2012068157A3 (en) * 2010-11-15 2012-07-12 Age Of Learning, Inc. Computer-implemented system with multiple navigational modes
WO2012068160A3 (en) * 2010-11-15 2012-07-12 Age Of Learning, Inc. Computer-implemented platform with mentor guided mode
US8727781B2 (en) 2010-11-15 2014-05-20 Age Of Learning, Inc. Online educational system with multiple navigational modes
US9324240B2 (en) 2010-12-08 2016-04-26 Age Of Learning, Inc. Vertically integrated mobile educational system
US8731454B2 (en) 2011-11-21 2014-05-20 Age Of Learning, Inc. E-learning lesson delivery platform

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