INTERACTIVE ONLINE LEARNING CONTENT MASS PRODUCTION SYSTEM AND HOW TO USE IT

The present invention relates to a mass production system for interactive online learning content, which solves difficult problems of developing existing e-learning content and suggests a method for using mass-produced content, and a method using the same. According to the present invention, the met...

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description The present invention relates to a mass production system for interactive online learning content, which solves difficult problems of developing existing e-learning content and suggests a method for using mass-produced content, and a method using the same. According to the present invention, the method comprises the following steps of: storing basic and deep learning, and various test questions in a deep learning content server (160) through steps of collecting and storing audiovisual data (image) (110, 120) and inputting a real-time learning material exposure time (Q-Point) for the collected audiovisual data (video) (130); and developing interactive online learning content to be mass-produced by using the stored various data and enabling a learner to use the developed content. Accordingly, an interactive online content mass production model is provided and a customized learning method is provided to a learner who uses interactive online content, thereby enabling the learner to perform learning effectively. ㅇ 기술분야 및 해결과제; 본 발명은 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법에 관한 것으로, 기존 이러닝 학습 콘텐츠 개발의 어려운 문제점을 해결하고 양산된 콘텐츠를 이용하는 방법을 제시하기 위한 것이다. ㅇ 해결수단; 본 발명의 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법은 도 1의 시청각 자료(영상)를 수집(120)하여 저장(110)하는 단계, 수집된 시청각 자료(영상)에 대해 실시간 학습 자료 노출 시간(Q-Point)을 입력(130)하는 단계를 거쳐 기본 및 심화 학습, 각종 TEST 문항을 딥러닝 콘텐츠 서버(160)에 저장하는 단계, 및 저장된 각종 자료를 활용하여 양산할 수 있는 대화형 온라인 학습 콘텐츠를 개발하고, 이를 도 4에서 학습자가 이용하는 단계를 포함한다. ㅇ 기대효과; 본 발명에 따르면, 대화형 학습이 가능한 콘텐츠 양산 모델을 제시하며, 이를 이용하는 학습자에게 맞춤형 학습 방식을 제공하여 더욱 효과적인 학습을 하게 할 수 있다.
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According to the present invention, the method comprises the following steps of: storing basic and deep learning, and various test questions in a deep learning content server (160) through steps of collecting and storing audiovisual data (image) (110, 120) and inputting a real-time learning material exposure time (Q-Point) for the collected audiovisual data (video) (130); and developing interactive online learning content to be mass-produced by using the stored various data and enabling a learner to use the developed content. Accordingly, an interactive online content mass production model is provided and a customized learning method is provided to a learner who uses interactive online content, thereby enabling the learner to perform learning effectively. ㅇ 기술분야 및 해결과제; 본 발명은 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법에 관한 것으로, 기존 이러닝 학습 콘텐츠 개발의 어려운 문제점을 해결하고 양산된 콘텐츠를 이용하는 방법을 제시하기 위한 것이다. ㅇ 해결수단; 본 발명의 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법은 도 1의 시청각 자료(영상)를 수집(120)하여 저장(110)하는 단계, 수집된 시청각 자료(영상)에 대해 실시간 학습 자료 노출 시간(Q-Point)을 입력(130)하는 단계를 거쳐 기본 및 심화 학습, 각종 TEST 문항을 딥러닝 콘텐츠 서버(160)에 저장하는 단계, 및 저장된 각종 자료를 활용하여 양산할 수 있는 대화형 온라인 학습 콘텐츠를 개발하고, 이를 도 4에서 학습자가 이용하는 단계를 포함한다. ㅇ 기대효과; 본 발명에 따르면, 대화형 학습이 가능한 콘텐츠 양산 모델을 제시하며, 이를 이용하는 학습자에게 맞춤형 학습 방식을 제공하여 더욱 효과적인 학습을 하게 할 수 있다.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20211213&amp;DB=EPODOC&amp;CC=KR&amp;NR=20210150923A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20211213&amp;DB=EPODOC&amp;CC=KR&amp;NR=20210150923A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIM, CHUNG BAI</creatorcontrib><title>INTERACTIVE ONLINE LEARNING CONTENT MASS PRODUCTION SYSTEM AND HOW TO USE IT</title><description>The present invention relates to a mass production system for interactive online learning content, which solves difficult problems of developing existing e-learning content and suggests a method for using mass-produced content, and a method using the same. According to the present invention, the method comprises the following steps of: storing basic and deep learning, and various test questions in a deep learning content server (160) through steps of collecting and storing audiovisual data (image) (110, 120) and inputting a real-time learning material exposure time (Q-Point) for the collected audiovisual data (video) (130); and developing interactive online learning content to be mass-produced by using the stored various data and enabling a learner to use the developed content. Accordingly, an interactive online content mass production model is provided and a customized learning method is provided to a learner who uses interactive online content, thereby enabling the learner to perform learning effectively. ㅇ 기술분야 및 해결과제; 본 발명은 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법에 관한 것으로, 기존 이러닝 학습 콘텐츠 개발의 어려운 문제점을 해결하고 양산된 콘텐츠를 이용하는 방법을 제시하기 위한 것이다. ㅇ 해결수단; 본 발명의 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법은 도 1의 시청각 자료(영상)를 수집(120)하여 저장(110)하는 단계, 수집된 시청각 자료(영상)에 대해 실시간 학습 자료 노출 시간(Q-Point)을 입력(130)하는 단계를 거쳐 기본 및 심화 학습, 각종 TEST 문항을 딥러닝 콘텐츠 서버(160)에 저장하는 단계, 및 저장된 각종 자료를 활용하여 양산할 수 있는 대화형 온라인 학습 콘텐츠를 개발하고, 이를 도 4에서 학습자가 이용하는 단계를 포함한다. ㅇ 기대효과; 본 발명에 따르면, 대화형 학습이 가능한 콘텐츠 양산 모델을 제시하며, 이를 이용하는 학습자에게 맞춤형 학습 방식을 제공하여 더욱 효과적인 학습을 하게 할 수 있다.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDx9AtxDXJ0DvEMc1Xw9wNyXRV8XB2D_Dz93BWc_YGSfiEKvo7BwQoBQf4uoUB1_n4KwZHBIa6-Co5-Lgoe_uEKIf4KocGuCp4hPAysaYk5xam8UJqbQdnNNcTZQze1ID8-tbggMTk1L7Uk3jvIyMDI0MDQ1MDSyNjRmDhVAIihLt0</recordid><startdate>20211213</startdate><enddate>20211213</enddate><creator>LIM, CHUNG BAI</creator><scope>EVB</scope></search><sort><creationdate>20211213</creationdate><title>INTERACTIVE ONLINE LEARNING CONTENT MASS PRODUCTION SYSTEM AND HOW TO USE IT</title><author>LIM, CHUNG BAI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20210150923A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>LIM, CHUNG BAI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIM, CHUNG BAI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>INTERACTIVE ONLINE LEARNING CONTENT MASS PRODUCTION SYSTEM AND HOW TO USE IT</title><date>2021-12-13</date><risdate>2021</risdate><abstract>The present invention relates to a mass production system for interactive online learning content, which solves difficult problems of developing existing e-learning content and suggests a method for using mass-produced content, and a method using the same. According to the present invention, the method comprises the following steps of: storing basic and deep learning, and various test questions in a deep learning content server (160) through steps of collecting and storing audiovisual data (image) (110, 120) and inputting a real-time learning material exposure time (Q-Point) for the collected audiovisual data (video) (130); and developing interactive online learning content to be mass-produced by using the stored various data and enabling a learner to use the developed content. Accordingly, an interactive online content mass production model is provided and a customized learning method is provided to a learner who uses interactive online content, thereby enabling the learner to perform learning effectively. ㅇ 기술분야 및 해결과제; 본 발명은 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법에 관한 것으로, 기존 이러닝 학습 콘텐츠 개발의 어려운 문제점을 해결하고 양산된 콘텐츠를 이용하는 방법을 제시하기 위한 것이다. ㅇ 해결수단; 본 발명의 대화형 온라인 학습 콘텐츠 양산 시스템 및 이를 이용하는 방법은 도 1의 시청각 자료(영상)를 수집(120)하여 저장(110)하는 단계, 수집된 시청각 자료(영상)에 대해 실시간 학습 자료 노출 시간(Q-Point)을 입력(130)하는 단계를 거쳐 기본 및 심화 학습, 각종 TEST 문항을 딥러닝 콘텐츠 서버(160)에 저장하는 단계, 및 저장된 각종 자료를 활용하여 양산할 수 있는 대화형 온라인 학습 콘텐츠를 개발하고, 이를 도 4에서 학습자가 이용하는 단계를 포함한다. ㅇ 기대효과; 본 발명에 따르면, 대화형 학습이 가능한 콘텐츠 양산 모델을 제시하며, 이를 이용하는 학습자에게 맞춤형 학습 방식을 제공하여 더욱 효과적인 학습을 하게 할 수 있다.</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title INTERACTIVE ONLINE LEARNING CONTENT MASS PRODUCTION SYSTEM AND HOW TO USE IT
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