• Cartoon and Animation Studies
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• s.39
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• pp.365-391
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• 2015

The purpose of this study is to comprehend the characteristics of collaborative examples in mobile games by analyzing the types of cultural fusion and their utilization in mobile game industry. The major examples of collaborations include the collaborative works utilizing artists, characters, and products by examining the practical collaborations within international mobile games between the years 2010 to 2014. The most typical kind of collaboration among them is the utilization of characters, composed of using characters between games, applying animation characters, borrowing cartoon or web-cartoon characters, hiring famous celebrities, or even including great men in their games. Therefore, the characteristics of mobile game's collaborative types are confirmed as below by studying the above examples. (1) There are many examples of collaborating between different types of businesses defined as 'conversion type fusion.' (2) The character utilization is the most sought after type of collaboration. (3) The applied content's target audience seems to share the same age groups of the game's audience. (4) The game industry always adopts the components that could be recognized instantly. (5) The status and influence of mobile game have risen greatly. Consequently, this research has important role in establishing the strategic collaborative plans for mobile game business by expanding the prospects of game related researches and industrial and academic theories.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.11a
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• pp.555-574
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• 2000

본 연구에서는 정보시스템의 전략적 활용(SUIS)에 관한 이론적 틀을 바탕으로 SUIS를 유형화하고, 업종에 따라 SUIS 유형이 차이가 있는가를 실증연구를 통해 알아보았다. 한편, 업종별 SUIS 유형의 차이가 SUIS 성과에 미치는 영향을 밝히기 위하여, SUIS 성과변수를 개발하고 이를 통해 업종별 적합한 SUIS 유형의 존재여부를 분석하였다.

• 한국정보교육학회:학술대회논문집
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• 2006.01a
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• pp.276-282
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• 2006

정보화 사회에 이어 고도정보화 사회가 되면서 학교에서도 컴퓨터를 활용한 교육의 중요성이 날로 높아지고 있으며 학습자 서로의 도움을 중시하는 협동학습 또한 점점 더 강조되고 있다. 이에 초등학교 국어과의 연극단원을 가르치는데 학생의 발달 단계에 맞는 연극 유형을 알아보고 협동학습의 여러 모형 중 집단탐구모형에 기초하여 모둠 구성원들이 주도적으로 연극 유형을 골라 스스로 탐색, 토의 한 후 실제로 연극을 할 수 있는 시스템을 설계했다. 연극 학습의 특성상 초등학교의 교과서에 나오는 극본을 조사하고 이를 실제 학습에 활용 가능한 10가지 연극 유형으로 분류하여 학생들이 적합한 유형을 선택하거나 활용할 수 있도록 제시하였으며 가능한 동영상 자료를 중심으로 시스템의 컨텐트를 구성하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.5-6
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• 2023

본 연구에서는 언텍트 소비가 일반화됨에 따라 소상공인들을 지원하기 위해 캡티브-포털을 활용하여 주문하는 등의 시스템을 구축하고 있으며, 이에 상권 내 방문자들의 주문 정보를 기반으로 개인의 선호나 취향을 고려하고 기존 방문 순서를 고려하여 다음 방문지를 추천할 수 있는 모델을 개발하고자 한다. 모델 개발을 위한 데이터셋으로는 캡티브-포털을 통해 수집되는 변수 항목과 유사한 위치기반 SNS 데이터인 Foursquare 데이터를 활용했다. 본 논문에서는 데이터셋의 변수 중 상호명을 기반으로 22개의 행동 유형 카테고리로 묶어 현재 행동 유형 이후에 다음에 이어질 행동 유형을 예측하는 것을 제안한다. 개인 별 세션 기반의 데이터셋을 LightMove 알고리즘을 활용하여 행동유형 예측을 임베딩 차원의 변경하여 실험한 결과 500차원에서 Top-5가 82.72의 성능을 보임을 확인했다. 향후 국내 상권에 맞는 방문지 추천 시스템이 개발된다면 방문지 추천을 활용하여 다양한 마케팅 전략을 수립이 가능해질 수 있고, 이를 통해 지역 상권이 활성화될 것으로 기대된다.

• Journal of Korean Elementary Science Education
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• v.42 no.3
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• pp.421-433
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• 2023

This study examined the reasoning of gifted elementary science students in a socioscientific issues (SSI) classroom discussion on COVID-19-related trash disposal challenges. This study aimed to understand the characteristics of evidence use and decision-making difficulties in each type of SSI-related reasoning. To this end, the transcripts of 17 gifted students of elementary science discussing SSIs in a classroom were analyzed within the framework of informal reasoning. The analysis framework was categorized into three types according to the primary influence involved in reasoning: rational, emotional, and intuitive. The analysis showed that students exhibited four categories of evidence use in SSI reasoning. First, in the rational reasoning category, students deemed and recorded scientific knowledge, numbers, and statistics as objective evidence. However, students who experienced difficulty in investigating such scientific data were less likely to have factored them in subsequent decisions. Second, in the emotional reasoning category, students' solutions varied considerably depending on the perspective they empathized with and reasoned from. Differences in their views led to conflicting perspectives on SSIs and consequent disagreement. Third, in the intuitive reasoning category, students disagreed with the opinions of their peers but did not explain their positions precisely. Intuitive reasoning also created challenges as students avoided problem-solving in the discussion and did not critically examine their opinions. Fourth, a mixed category of reasoning emerged: intuition combined with rationality or emotion. When combined with emotion, intuitive reasoning was characterized by deep empathy arising from personal experience, and when combined with rationality, the result was only an impulsive reaction. These findings indicate that research on student understanding and faculty knowledge of SSIs discussed in classrooms should consider the difficulties in informal reasoning and decision-making.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.85-97
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• 2010

Internet communities are a typical space for knowledge creation and use on the Internet as people discuss their common interests within the internet communities. When we define 'Knowledge Communities' as internet communities that are related to knowledge creation and use, they are categorized into 4 different types such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' Each type of knowledge community does not remain the same, for example. Rather, it changes with time and is also affected by the external business environment. Therefore, it is critical to develop processes for practical use of such changeable knowledge communities. Yet there is little research regarding a strategic framework for knowledge communities as a source of knowledge creation and use. The purposes of this study are (1) to find factors that can affect knowledge creation and use for each type of knowledge community and (2) to develop a strategic framework for practical use of the knowledge communities. Based on previous research, we found 7 factors that have considerable impacts on knowledge creation and use. They were 'Fitness,' 'Reliability,' 'Systemicity,' 'Richness,' 'Similarity,' 'Feedback,' and 'Understanding.' We created 30 different questions from each type of knowledge community. The questions included common sense, IT, business and hobbies, and were uniformly selected from various knowledge communities. Instead of using survey, we used these questions to ask users of the 4 representative web sites such as Google from Search Engine, NAVER Knowledge iN from Open Communities, SLRClub from Specialty Communities, and Wikipedia from Activity Communities. These 4 representative web sites were selected based on popularity (i.e., the 4 most popular sites in Korea). They were also among the 4 most frequently mentioned sitesin previous research. The answers of the 30 knowledge questions were collected and evaluated by the 11 IT experts who have been working for IT companies more than 3 years. When evaluating, the 11 experts used the above 7 knowledge factors as criteria. Using a stepwise linear regression for the evaluation of the 7 knowledge factors, we found that each factors affects differently knowledge creation and use for each type of knowledge community. The results of the stepwise linear regression analysis showed the relationship between 'Understanding' and other knowledge factors. The relationship was different regarding the type of knowledge community. The results indicated that 'Understanding' was significantly related to 'Reliability' at 'Search Engine type', to 'Fitness' at 'Open Community type', to 'Reliability' and 'Similarity' at 'Specialty Community type', and to 'Richness' and 'Similarity' at 'Activity Community type'. A strategic framework was created from the results of this study and such framework can be useful for knowledge communities that are not stable with time. For the success of knowledge community, the results of this study suggest that it is essential to ensure there are factors that can influence knowledge communities. It is also vital to reinforce each factor has its unique influence on related knowledge community. Thus, these changeable knowledge communities should be transformed into an adequate type with proper business strategies and objectives. They also should be progressed into a type that covers varioustypes of knowledge communities. For example, DCInside started from a small specialty community focusing on digital camera hardware and camerawork and then was transformed to an open community focusing on social issues through well-known photo galleries. NAVER started from a typical search engine and now covers an open community and a special community through additional web services such as NAVER knowledge iN, NAVER Cafe, and NAVER Blog. NAVER is currently competing withan activity community such as Wikipedia through the NAVER encyclopedia that provides similar services with NAVER encyclopedia's users as Wikipedia does. Finally, the results of this study provide meaningfully practical guidance for practitioners in that which type of knowledge community is most appropriate to the fluctuated business environment as knowledge community itself evolves with time.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.431-436
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• 2022

이 연구는 MBTI의 심리 기능지표 조합인 ST, SF, NT, NF의 유형별 특징을 반영한 마케팅 문체 프레임워크를 정의하고 모델 학습을 통해 성격유형별 맞춤화 된 광고 메시지로 생성하는 것을 목적으로 한다. 활용되는 광고 메시지 자동 생성 기술은 BART 모델에 성격유형을 Prefix로 포함한 광고문을 학습시켜 성격유형에 따라 맞춤형 광고 메시지를 생성하는 방식이다. 학습된 모델은 Prefix 조작만으로 MBTI 성격유형별 문체 특징을 갖춘 광고 메시지로 변환되는 것을 실험을 통해 확인할 수 있었다. 본 연구는 성격유형의 특징을 문체 프레임워크로써 정의하고 이에 기반한 모델 학습을 통해 성격유형별 특징을 반영한 광고 메시지를 재현해 낼 수 있다는 점에서 의의가 있다. 또한 성격유형과 연관 feature를 함께 학습하여 유형별 문체 특징과 소구점을 포함한 광고 메시지를 생성했다는 기술적 가치가 있다. 이 연구 결과를 기반으로 차후 타겟 고객층의 성격유형과 광고 도메인을 고려한 효과적인 광고 콘텐츠를 생성해 내는 모델을 개발하여 타겟 마케팅 분야는 물론이고 지역별 또는 언어별 문체 간 차이를 구조화하거나 재현해야 하는 문제에서 기반이 되는 연구로 활용될 수 있을 것으로 기대된다.

• The Journal of Sustainable Design and Educational Environment Research
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• v.19 no.1
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• pp.13-24
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• 2020

The purpose of this study is to analyze and match future teaching-learning methods with learning-space types as customized not only by school grade or grade groups, but also by learning modality. As a result, the following six teaching-learning methods were identified as future teaching-learning methods: flipped learning, deeper learning, collaborative learning, learning through immersive virtual reality, playful learning, and learning through OER(Open Educational Resources). There were also six learning-space types that were identified: playing and discovering space, a making and placement space, a presentation and sharing space, a space for independent study, space as a stage, and space as content(See Tables 8 and 11). Learning-space types and future teaching-learning methods were matched with 22 different types of learning modalities based on the presented degree of utilization by school grade or grade groups(See Table 13).

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.1-10
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• 2003

In this paper, we research on an evaluation model and method for the teaching and loaming using ICT. There are 8 types information search, information analysis, information guidance, collaboration research, discussion with expert, discussion by the web, pen pal by the web, information production in the teaching and teaming using ICT. we propose an evaluation model and method for information search and information analysis which teachers frequently use. Because an evaluation model and mend for the teaching and learning using ICT doesn’t exist, I expect that the evaluation model and method proposed in this paper is effective in the teaching and loaming using ICT.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.106-115
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• 2007

농촌진흥청에서 제공하고 있는 수치토양도는 수문 수자원 분야에서 SCS-CN법을 이용한 유효우량 및 유출곡선 산정에 가장 많이 활용되고 있다. 토양조사 국책사업 결과 전산화된 토양도 및 토양검정 데이터베이스에 기초한 토양정보 웹 시스템은 전국의 토양 전자지도와 토양 통계 자료를 주제별로 검색하거나 필지별 토양분석 성적에 따른 토양관리처방서를 조회하는데 사용되는 농업분야 이외의 사용자 그룹을 위해 필요한 정보를 제공하도록 활용 및 유통 요구도가 높아지고 있다. 수치토양도가 수문학적 토양유형 정보를 포함하도록 제공하는 것이 먼저 필요할 것으로 생각되고 다음으로는 수문 수자원 분야 활용 측면에서 수치토양도가 제공하는 속성, 축척, 제공형태, 좌표체계, 서비스 방식 등에 대하여 활용정책을 마련하여 이에 따라 자료가 유통될 수 있도록 하여야 할 것이다. 앞으로 활용이 가능하게 될 수치세부정밀토양도와 토양유형을 이용하여 충북 괴산군 소수면의 소유역에 대해 SCS 삼각법에 따른 단위도 작성, 유효우량 산출 및 유출곡선을 작성한 결과 농업과학기술원의 정 등(2006)이 분류한 토양유형을 이용한 결과 정 등(1995)에 따른 토양유형을 이용한 결과에 비해 CN값과 유효우량이 더 높게 나타났고 삼각단위도로부터 유도한 정점의 유출량과 시간별 유량 관측값에 더 가까운 것으로 나타났다.