• Journal of The Korean Association For Science Education
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• v.34 no.1
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• pp.10-20
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• 2014

This study compares the perceptions of elementary gifted child and science teacher in a science class for the gifted. In order to explore the research problem, students and teachers answered a written semi-structured questionnaire and participated in interviews regarding the gifted science class. The data was collected and analyzed. Science teachers recognized the characteristics of a good science class, especially in terms of educational content and teaching methodology. First, they suggested promoting inquiry skills, presenting a challenging task in atypical topic selection, student-centered curriculum, and controlling the pace of learning to recognize individual differences. Second, in terms of the science class skills and attitudes category, teachers recommended raising mutual satisfaction through vigorous interaction within a permissible atmosphere. Finally, science teachers need to strive for continued professional growth. Gifted children, meanwhile, want to investigate a wide range of topics without time constraints. Additionally, they may have to explore challenging topics further. They prefer to act like scientists in that they enjoy group activities, communication and cooperation. In particular, they want to be evaluated by others in a totally embedded assessment. Gifted children also expect teachers to understand the life circumstances and needs of the students. In addition, they asked for teachers to respect individual experiments and to show them how to safely use new equipment or research methods. As a result, gifted children and science teachers have to recognize the differences of opinion concerning a good science class for the gifted. This study can help formulate strategies to establish quality management of materials in gifted science classes.

• Cartoon and Animation Studies
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• s.32
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• pp.159-187
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• 2013

The purpose of this study is to verify the status of current digital comics research trends and the characteristics in Korea. For this purpose, 87 articles and dissertations published between 19900 to 2012 were analysed by a meta-analysis methods. Digital comics platforms, topics, methods were examined to understand the landscape of the digital comics in Korean context. The main results of this study are as follow. First of all, the number of researches on the digital comics has been in the rise, and the various academic journals have published articles to understand the digital comics on the basis of their own academic background. Despite of the short history of digital comics researches, the range of research subjects has been broaden, and more integrated approaches have been taken from the various research fields. The content of articles, however, was skewed to a certain platform, topic and the method such as the website based comics, the text analysis, and the qualitative methodology. Thus, the more systematic and integrated approaches are needed to understand the digital comics issues and to build up the digital comics studies.

• Journal of Popular Narrative
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• v.25 no.3
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• pp.303-345
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• 2019

This article analyzes the multi-layered communication in the Webtoon Princess Pari, released on the Daum portal site, created (written and illustrated) by Kim Naim, through analyzing the narrative structure and comments with the qualitative / quantitative methodology. The webtoon Princess Pari is structured in an omnibus style in which unit narratives are intermittently articulated, multi-lined, and interconnected. As integrated narratives which link with unitary narratives, Pari's growth story as a shaman and a romance narrative are structured. The classical original story of the shaman was used as a prehistory corresponding to the prequel of the webtoon through a preview, and the writer restructured the narrative to overcome the contradictions of the gender asymmetry and the patriarchal ideology of the original text. The viewer then creates a conversational space by giving critical and reflective comments. According to a statistical analysis conducted through sampling, the types of comments can be classified as follows: Appreciation and criticism of the contents ≫ Emotional response ≫ Intuitive overall review ≫ Knowledge and reflection ≫ Comments on comments. In the process of creation and acceptance of the Webtoon, a multi-layered dialogue between classical and modern, content and audience, acceptance and creation has been at play. In the creation dimension, the writer used a device to fill the gap of mythical symbols of the contents. At the level of the audience, they formed a culture of sharing information, knowledge, and reflection about tradition/folk/culture through comments. This corresponds to classical and modern dialogue through the webtoon. The viewers form a sympathetic bond, attempt hermeneutical coordination, supplement the information, and search for a balanced angle through controversial conversation. In addition, by commenting on attitudes, views, and perspective, the commentators showed a behavioral pattern corresponding to meta-criticism in literature. The viewers' comments acted as feedback on the creation of the webtoons, so that the creation and acceptance itself influenced the production of the content of the webtoon. The webtoon Princess Pari, which was based on Korean classical narrative, has been reorganized onto 'moving and dynamic' content, which leads to sense, thinking, criticism and reflection through the formation of various dialogues.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.1-17
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• 2023

With the recent rapid development of ICT(Information and Communication Technology) and the popularization of digital devices, the size of the online market continues to grow. As a result, we live in a flood of information. Thus, customers are facing information overload problems that require a lot of time and money to select products. Therefore, a personalized recommender system has become an essential methodology to address such issues. Collaborative Filtering(CF) is the most widely used recommender system. Traditional recommender systems mainly utilize quantitative data such as rating values, resulting in poor recommendation accuracy. Quantitative data cannot fully reflect the user's preference. To solve such a problem, studies that reflect qualitative data, such as review contents, are being actively conducted these days. To quantify user review contents, text mining was used in this study. The general CF consists of the following three steps: user-item matrix generation, Top-N neighborhood group search, and Top-K recommendation list generation. In this study, we propose a recommendation algorithm that applies an extended similarity measure, which utilize quantified review contents in addition to user rating values. After calculating review similarity by applying TF-IDF, Word2Vec, and Doc2Vec techniques to review content, extended similarity is created by combining user rating similarity and quantified review contents. To verify this, we used user ratings and review data from the e-commerce site Amazon's "Health and Personal Care". The proposed recommendation model using extended similarity measure showed superior performance to the traditional recommendation model using only user rating value-based similarity measure. In addition, among the various text mining techniques, the similarity obtained using the TF-IDF technique showed the best performance when used in the neighbor group search and recommendation list generation step.