• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.701-702
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• 2023

비대면 교육이 증가함에 따라 강의, 특강과 같은 정보성 동영상의 수가 급격히 많아지고 있다. 이러한 정보성 동영상을 보아야 하는 학습자들은 자원과 시간을 효율적으로 활용할 수 있는 동영상 이해 및 학습 시스템이 필요하다. 본 논문에서는 GPT-3 모델과 KoNLPy 사용하여 동영상 요약을 수행하고 키워드 기반 해당 영상 프레임으로 바로 갈 수 있는 시스템의 개발내용에 대해 기술한다. 이를 통해 동영상 콘텐츠를 효과적으로 활용하여 학습자들의 학습 효율성을 향상시킬 수 있을 것으로 기대한다.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.53-64
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• 2020

As online learning forms centered on video lectures become more common and constantly increasing, the video-based learning environment applying various educational methods is also changing and developing to enhance learning effectiveness. Learner's log data has emerged for measuring the effectiveness of education in the online learning environment, and various analysis methods of log data are important for learner's customized learning prescriptions. To this end, the study analyzed learner behavior data and predictions of achievement by machine learning in video-based learning environments. As a result, interactive behaviors such as video navigation and comment writing, and learner-led learning behaviors predicted achievement in common in each model. Based on the results, the study provided implications for the design of the video learning environment.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.11
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• pp.345-350
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• 2020

Based on the analysis of physical and learning characteristics and requirements of the silver generation, a video English dictionary was developed and evaluated as English learning contents. The video English dictionary was developed using OCR as an input method and video as an output method, and 17 silver generations were evaluated for academic achievement, learning satisfaction, and ease of use. As a result of the analysis, both the text English dictionary and the video English dictionary showed high learning satisfaction, but the video English dictionary showed higher results than the text English dictionary in an academic achievement and ease of use.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.141-148
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• 2019

The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.225-235
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• 2010

This study examined the educational effects by song video self study of CPR and CPR VSI with middle school students who have no CPR education experience and aimed to provide basic materials for effective CPR education method with middle school students. The subjects of the research were total 68 middle school students of S middle school in G metropolitan city and they were selected by convenience sampling into 33 experimental group and 35 control group. The period of examination was from Apr. 22 to 23, 2009 and the data were collected for two days. As a result of the research, song video self learning of CPR with middle school students was not considered as achieving better results than video self learning. But, as its educational effects were confirmed, it will be available in education of CPR with middle school students.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.349-352
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• 2009

최근 정보의 형태는 텍스트나 이미지 기반에서 벗어나 복합 멀티미디어, 즉 동영상 위주로 빠르게 이동하고 있다. 특히 사용자에 의해 제작되고 유통되는 동영상 UCC의 급격한 부상은 사용자의 정보 생산력과 정보 공유, 소비 형태를 능동적으로 변화시키고 있다. PC 뿐 아니라 IPTV에서도 주요 서비스 모델로 관심을 받는 동영상 UCC는 향후 지식 결부형 학습 콘텐츠로 옮아갈 것이라 예상되고 있으며 여기에는 수익 모델의 개발과 저작권 보호 이슈가 해결해야 할 선결 과제로 인식된다. 이에 본 논문은 방송 콘텐츠 제공 표준 기술인 TV-Anytime, 학습객체메타데이터인 LOM(Learning Object Metadata)을 기반으로 OSMU 동영상 UCC 학습 콘텐츠 서비스 모델을 위한 에디터를 설계하고 외부 콘텐츠 소스를 활용할 수 있는 콘텐츠 저작 시나리오에 기반한 메타데이터를 설계하였다. 이를 통해 사용자의 다양한 지식을 활용할 수 있는 UCC 학습 콘텐츠 서비스 모델 발굴과 콘텐츠의 확대 재생산에 있어서 적극적인 저작권 보호가 이루어질 것을 기대한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.633-640
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• 2021

This study analyzes the effects of text and image presenting methods in video lectures on students' learning flow, learning satisfaction and learning outcomes. The text presenting methods include forming short sentences of 2 or 3 words or using key words, while image presenting methods include images featuring both detailed and related information as well as images containing only related information. 167 first year students from Xingtai University were selected as experimental participants. Groups of participants were randomly assigned to engage in four types of video. The research results are as follows. First, it was found that learning flow, learning satisfaction and learning outcomes of group presented with video forms of short sentences had higher statistical significance compared to the group experiencing the key word method. Second, learning flow, learning satisfaction and learning outcomes of group presented with video forms of only related information had higher statistical significance compared to the group experiencing the presenting method of both detailed and related information. That is, the mean values of dependent variables for groups of short form text and only related information were highest. In contrast, the mean values of dependent variables for groups of key words and both detailed and related information were the lowest.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.943-946
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• 2004

최근에 중등학교 학내 전산망에서 동영상 위주의 멀티미디어 학습 자료를 이용한 학습이 많아짐에 따라, 실제 수업 시간이나 자율 학습 시간에 동영상 학습 자료를 활용했을 때 트래픽 특성이 구체적으로 어떻게 나타나는 지를 정량적으로 규명하는 것이 요구된다. 이에 본 논문에서는 고등학교 1개교와 중학교 1개교에 대해 동영상 학습 자료를 이용한 학습 시 학내 전산망에서 나타나는 트래픽 특성을 트래픽 분석 도구를 이용하여 분석하였다. 특히, 학교 내에 자체 웹 서버의 유무, 컴퓨터 접속 대수 등을 주요 변인으로 하여 동영상 실행 시 나타나는 현상들에 대한 측정 결과들을 제시하였다. 측정 결과로부터 다음과 같은 특성들을 얻어낼 수 있었다. 첫째, 학교 내에 자체 웹 서버의 유무가 전송 트래픽 량에 상당한 영향을 주었다. 둘째, 동시 컴퓨터 접속 대수의 증가가 끊김 현상과 같은 트래픽 특성에 영향을 주었다. 이러한 측정 및 분석 결과를 볼 때, 적게는 수십 명 많게는 수백 명의 학생이 동시에 인터넷을 통해 학습을 한다면 학내 전산망의 구성 형태나 동시 접속자 수에 따라 원활한 학습을 가져오지 못하고 많은 문제를 가져 올 것으로 예상되었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.267-274
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• 2021

The purpose of this study is to investigate differences in learning flow and teaching presence according to the lecturer's appearance and the lecturer's speech rate. For this experiment, 183 freshman students from Xingtai University in China were selected as subjects of the experiment, and a total of four types of lecture videos were developed to test the lecturer's appearance and their speech rates. Data was analyzed through multivariate analysis of variance. According to the results of the analysis, first, learning flow and teaching presence of groups who experienced the presence of the lecturer appeared were significantly higher than the groups who learned without the appearance of the lecturer. Second, the groups who learned from videos with a fast speech rate showed higher learning flow and teaching presence than the group who learned at a slow speech rate. Third, there were no significant differences in both learning flow and teaching presence according to the lecturer's appearance and speech rate. This result provides a theoretical and practical basis for developing customized videos according to learners' characteristics.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.371-378
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• 2013

Video-demand learning through E-learning continuously increases on these days. However, not all video-demand learning systems can be utilized properly. When students study by education videos not matched to level of their own, it is possible for them to lose interest in learning. It causes to reduce the learning efficiency. In order to solve the problem, we need to develop a recommendation system which recommends customized education videos according the study levels of students. In this paper, we estimate the study level based on the history of students' watching behaviors such as average watching time, skipping and rewinding of videos. In the experimental section, we demonstrate our recommendation system using real students' video watching history to show that our system is feasible in a practical environment.