• 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.

• 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.

• 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.

• 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.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.216-217
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• 2005

• 대한공업교육학회지
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• v.30 no.1
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• pp.19-36
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• 2005

The purpose of this study is to develop the Public Practice Center's teaching-learning model by applying blended learning strategies which is complementary to the expected problems such as expansion of the educational object and diversity of the curriculum to maximize the educational effect and to analyze activation types of the Practical Practice Center to expand the Public Practice Center's function and role by studying the document. Blended Learning Strategies are established in consideration of the following eight (8) factors ; learning environment, learning purpose, learning contents, learning time, learning place, learning type, learning media, type of interaction. It is redesigned and amended to the KEDI's individual confirmation instruction model for skill learning (1975) which is considered to be effective in the filed of education by applying features, educational contents of the Public Practice Center's teaching and merit of Blended Learning Strategies simultaneous. This model is composed of six (6) steps as shown below; 1. Understanding on the purpose and orientation 2. Observation for demonstration of fundamental skill 3. Ex on-line learning 4. Acquirement of element skill 5. Confirmation for acquirement of fundamental skill 6. After on-line learning. Further to this, this model is designed so that the above eight factors will be applied to the students effectively and the merit of e-learning and off-line practice will be mixed to the learner's expectation and satisfaction.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.1100-1118
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• 2021

In a wide range of ML applications, the training data contains privacy-sensitive information that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML model inherent to the data. As the structure of the model has been fine-tuned by training data, the model can be abused for accessing the data by the estimation in a reverse process called model inversion attack (MIA). Although, MIA has been applied to shallow neural network models of recognizers in literature and its threat in privacy violation has been approved, in the case of a deep learning (DL) model, its efficiency was under question. It was due to the complexity of a DL model structure, big number of DL model parameters, the huge size of training data, big number of registered users to a DL model and thereof big number of class labels. This research work first analyses the possibility of MIA on a deep learning model of a recognition system, namely a face recognizer. Second, despite the conventional MIA under the white box scenario of having partial access to the users' non-sensitive information in addition to the model structure, the MIA is implemented on a deep face recognition system by just having the model structure and parameters but not any user information. In this aspect, it is under a semi-white box scenario or in other words a gray-box scenario. The experimental results in targeting five registered users of a CNN-based face recognition system approve the possibility of regeneration of users' face images even for a deep model by MIA under a gray box scenario. Although, for some images the evaluation recognition score is low and the generated images are not easily recognizable, but for some other images the score is high and facial features of the targeted identities are observable. The objective and subjective evaluations demonstrate that privacy cyber-attack by MIA on a deep recognition system not only is feasible but also is a serious threat with increasing alert state in the future as there is considerable potential for integration more advanced ML techniques to MIA.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.3
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• pp.105-119
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• 2005

With the introduction of Internet-based education such as online learning and virtual campuses. there are increased interests and demands for electronically delivering educational contents in comparison to the traditional educational methods. Our preilminary study showed that approximately $50\%$ of virtual groups formed online for the scope of collaborative learning encountered harriers that prevented them from forming an effective learning team and making satisfactory progress toward reaching the learning objectives. In this study, we asked the undergraduate students. who were the members of the online learning team, to work on the given discussion topics through the use of emails and threaded discussion boards. Then. we investigated the roles played by two electronic communication medium during the virtual discussion with respect to the learning outcome. We also studied how information was shared amongst the virtual learning team members. The results of our study showed that the email based online learning had the advantage of individualized and friendly information transfer. However. it also caused certain difficulty in exchanging ideas due to the one-sided nature of the email-based communication. On the other hand, the threaded discussion board provided easier information sharing and broadcasting. which enabled active participation by the virtual team members. However. It also had the disadvantage of difficulty in accurate information conveyance and duplication of the posted information. In summary, our study results showed that there was a high correlation between the characteristics of the electronic communication medium and the decision that the online learners made regarding which medium to use. There was a high correlation between the type of the electronic communication medium and the online learners' experiences in using these media.

• The Journal of Bigdata
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• v.4 no.1
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• pp.99-118
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• 2019

This study used network analysis and clustering techniques to analyze studies on social media participation. As a result of the main path analysis, 37 major studies were extracted and divided into two networks: community-related networks and new media-related. Network analysis and clustering result in four clusters. This study has the academic significance of using academic data to grasp research trends at a macro level and using network analysis and machine learning as a methodology.