• Title/Summary/Keyword: Learning Media

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A Study on the Harmonizing media for E-learning service in Smart Environment (스마트 환경에서 이-러닝 서비스를 위한 학습 미디어 Harmonizing 기법 연구)

  • Kim, Svetlana;Yoon, Yong-Ik
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.10
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    • pp.137-143
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    • 2012
  • The learners using learning content through the smart devices can access to the Internet from anytime and anywhere. However, with the rapid increase of learning content on the Web, it will be time-consuming for learners to find contents they really want to and need to study. Therefore, e-learning systems should not only provide flexible content delivery, but support adaptive harmonizing fusion content. The harmonizing fusion content it is a very important in fusion e-learning service. The representative method to provide synchronization between fusion content is a provide absolute time value between of the contents. However, this method is occurs a problem transferring time delay. Also, to enter an absolute time value for the duration of the each content is several problems arise. In this paper introduces a new smart e-smart service support the harmonizing media based technology to create synchronized learning presentation.

The Effects of the Robot Based Instruction on Improving Immersion Learning (로봇활용수업이 학생의 학습몰입 향상에 미치는 효과)

  • Kim, Kyung-Hyun
    • The Journal of Korean Association of Computer Education
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    • v.14 no.2
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    • pp.1-12
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    • 2011
  • This paper is to explore the effects of Robot Based Instruction(RBI) on improving immersion learning. According to our research, we found out that there is significant improvement in learning immersion and there's 9 sub-factors score after RBI was applied. Also from the result that there is no significant difference between male and female students in learning immersion score, we can found that RBI can improve the learning immersion of students regardless of the learner's sex. The result of verification on the learning immersion is difference by subjects showed that there is significant improvement only in korean, science, art subject among 7 subjects. The above-mentioned results are based on as follows two reasons. First, RBI is efficient to improve students' internal motivation and ownership about tasks, and that is related to environment of learning and instruction focused on authentic task and practice. Second, educational advantages of robot media was reflected appropriately in RBI, also appropriate instructional environment for RBI was supported.

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Implementation of Low Cost Interactive WhiteBoard System for Improving Teaching-Learning Environment (교수-학습 환경 개선을 위한 저비용 전자칠판 시스템 구현)

  • Kim, Kyung Yeul;Park, Ji Su
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.9
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    • pp.291-296
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    • 2020
  • With the recent development of IT technology, various digital media to which new information technology is applied are being developed. In classroom lessons, the learning environment centered on lectures has changed to a learning environment in which learners participate. In particular, Interactive WhiteBoard (IWB) are used as an effective digital medium for teacher-learners to collaborate for interaction. However, existing IWB are expensive to purchase and maintain, and provide various and complicated functions to operate the IWB, which imposes a heavy burden on users. In this paper, we develop a low-cost IWB that supports collaborative learning to facilitate interaction in the space where projectors are installed to improve the teaching-learning environment. In addition, it is implemented so that learning activities using the IWB are interlocked and stored in the learning management system.

Effective Image Retrieval for the M-Learning System (모바일 교육 시스템을 위한 효율적인 영상 검색 구축)

  • Han Eun-Jung;Park An-Jin;Jung Kee-Chul
    • Journal of Korea Multimedia Society
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    • v.9 no.5
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    • pp.658-670
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    • 2006
  • As the educational media tends to be more digitalized and individualized, the learning paradigm is dramatically changing into e-learning. Existing on-line courseware gives a learner more chances to learn when they are home with their own PCs. However, it is of little use when they are away from their digital media. Also, it is very labor-intensive to convert the original off-line contents to on-line contents. This paper proposes education mobile contents(EMC) that can supply the learners with dynamic interactions using various multimedia information by recognizing real images of off-line contents using mobile devices. Content-based image retrieval based on object shapes is used to recognize the real image, and shapes are represented by differential chain code with estimated new starting points to obtain rotation-invariant representation, which is fitted to computational resources of mobile devices with low resolution camera. Moreover we use a dynamic time warping method to recognize the object shape, which compensates scale variations of an object. The EMC can provide learners with quick and accurate on-line contents on off-line ones using mobile devices without limitations of space.

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Art Science Convergence Curriculum Design in the 4th Industrial Revolution Era : Focusing on STEAM with Contents (4차 산업혁명 시대 예술·과학 융합 교육프로그램 설계 : 콘텐츠를 활용한 STEAM을 중심으로)

  • Park, Sung-won;Lee, Hye-won
    • Journal of Information Technology Applications and Management
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    • v.28 no.1
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    • pp.53-61
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    • 2021
  • The year 2020 was a time when the coronavirus infections-19 (COVID-19) caused various changes in society. In particular, the fields that have been conducted face-to-face have been greatly confused by the transition to an online non-face-to-face method, and this is the case with the field of education. There are two main advantages of offline education. The first is that we can improve our understanding through communication with teachers, and the second is that we can develop social skills through interaction with friends. But as online classes progressed due to corona 19, interaction could not be achieved. As a result, the motivation for learning has been reduced due to difficulties in real-time feedback, and the participation rate has been significantly lowered, especially in lower grades, raising concerns about the learning gap that will occur after corona 19. However, there are some cases in which online classes were conducted as effectively as offline classes by utilizing various contents. What they have in common is the use of content. Teachers generally improved the quality of education by linking interesting sights and videos that enhance learning comprehension. The provided video conveys learning-related content into stories, enabling intuitive observation. Many students were already enjoying these videos through VOD (Video on Demand) such as TV and YouTube, they were able to connect their easy access to content and interest in learning. Appropriate use of video content has rather increased the learning effect and should continue after corona 19. Therefore, it is necessary to study methodologies that apply video content efficiently to education. This study looked at the steps that needed content application through the development of education programs, and observed its meaning. Students were curious about the content, motivated to learn and participated in learning on their own. Intuitive learning, conducted through appreciation, play and content production, provided an opportunity to learn on their own in everyday life.

Implementation of the Stone Classification with AI Algorithm Based on VGGNet Neural Networks (VGGNet을 활용한 석재분류 인공지능 알고리즘 구현)

  • Choi, Kyung Nam
    • Smart Media Journal
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    • v.10 no.1
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    • pp.32-38
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    • 2021
  • Image classification through deep learning on the image from photographs has been a very active research field for the past several years. In this paper, we propose a method of automatically discriminating stone images from domestic source through deep learning, which is to use Python's hash library to scan 300×300 pixel photo images of granites such as Hwangdeungseok, Goheungseok, and Pocheonseok, performing data preprocessing to create learning images by examining duplicate images for each stone, removing duplicate images with the same hash value as a result of the inspection, and deep learning by stone. In addition, to utilize VGGNet, the size of the images for each stone is resized to 224×224 pixels, learned in VGG16 where the ratio of training and verification data for learning is 80% versus 20%. After training of deep learning, the loss function graph and the accuracy graph were generated, and the prediction results of the deep learning model were output for the three kinds of stone images.

A Case Study on Learning Behavior in Online English Reading Class of an On-off Course (온·오프 강의에서 온라인 영어읽기 수업의 학습행태 사례 연구)

  • Mi Yang Choi
    • Smart Media Journal
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    • v.12 no.9
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    • pp.142-151
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    • 2023
  • This study is a case study on investigating students' learning behavior in the online English reading class of an on-off course. For this purpose, a survey was conducted on a total of 77 students from an English listening and reading course and phone interview with 5 students was implemented. The findings revealed that regularity of learning interval and learning sequence need to be improved through student management in order to increase the effect of online learning. In case of lecture watching, the students are good at utilizing the strengths of taped lecture, such as using pause and repeating watching. However, more research need to be done on how to develop online lecture to enhance students' understanding of the lecture. Regarding the offline review quiz that is supposed to stimulate students into their more positive watching of the lecture, it is suggested that a few of its related elements such as the online learning period and the number of quiz questions be corrected for its better effect.

Nitrogen Oxide (NOx) Emissions Prediction of Gas Turbine in Coal-Fired Power Plant Using Online Learning Method (온라인 학습법을 활용한 석탄화력 발전소의 가스 터빈 내 질소산화물(NOx) 배출량 예측)

  • Jin Park;Changwan Ko;Young-Seon Jeong
    • Smart Media Journal
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    • v.13 no.8
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    • pp.58-66
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    • 2024
  • Nitrogen oxides(NOx) in coal-fired power plants are significant contributors to air pollution, influencing the formation of ozone and fine particulate matter, thereby adversely affecting health. Therefore, accurate prediction of NOx emissions is essential. Existing researches have mainly performed based on off-line learning methods, leading to poor prediction performance with the limited training dataset. This paper proposes the online learning model of online support vector regression to predict NOx emissions from coal-fired power plants. Online learning model, which updates a model whenever new observations come out, demonstrates high prediction accuracy even when initial data is scarce. The experimental results showed that the performance of online learning prediction was better than existing off-line learning methods. The results indicated online learning method is a valuable tool for predicting NOx emissions, especially in situations where initial data is limited and data is continuously updated in real-time.

A Study on the Selection Criteria of Media for the Textbook: Based on the Review of domestic and foreign Media Rating Systems (교과용도서 내 영상물 선정 기준 연구: 국내외 영상물 등급 제도를 중심으로)

  • Park, Yoo-shin;Rhee, Gyu-jeong;Sohn, Ji-hyun
    • Cartoon and Animation Studies
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    • s.47
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    • pp.295-333
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    • 2017
  • This study is a basic study to prepare policies related to selecting media to be included in textbooks. Researchers looked at previous studies focusing on how media affect children's and adolescent's emotions according to their developmental stages. Researchers also wanted to identify how the media is related to student emotions, health, and educational effectiveness. The researchers then examined a wide range of domestic media review and rating criteria, and argued that it is necessary to institutionalize the rating system of media at national level policy level. Based on the previous discussion, the researchers made seven suggestions. First, it is necessary to specify media selection criteria in the guidelines for issuing textbooks at the national level. Second, guidelines are needed to help review the political neutrality and human rights aspects of the media for inclusion in textbooks. Third, media selection guidelines in textbooks should be detailed with reference to categories and age based criteria of domestic and foreign media rating system. Fourth, the media rating system should be applied flexibly if there is a clear educational purpose. Fifth, institutional support is needed for setting guidelines for media collection of textbooks. Sixth, media experts should participate in the whole process of textbook development. Seventh, educational programs should be implemented to support teachers to use self directed learning by using educational media in classroom instruction.