• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.135-149
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• 2014

This study proposed the ubiquitous learning system by finding the difficulties which students have in learning the course of science and analyzing the current learning applications that are used commercially. Through case studies, we found 4 problems. First, the request of long learning time by most of the existing video-based learning applications. Second, it is impossible to know their level of learning due to the lack of open learning contents. Third, it is difficult for learners to participate in interactive learning. Fourth, there are educational contents without considerations on the level of learners. To refine the difficulties due to these problems, we designed and implemented a new ubiquitous learning system which applies the small learning contents for short-term learning, open learning system and enhanced hierarchical learning contents. The system was implemented based on Android. It provides learners with useful science education. We conducted a questionnaire for third grade middle school students in order to show that the proposed system has a good educational effects. The questionnaire asks for the differences between the proposed ubiquitous learning system and the existing learning application. We concluded that the proposed system is better than the existing application by using t-test for improvement of learning effects using feedback with which students participate in interactive learning but not in unidirectional learning, and share the learning result.

• The Transactions of the Korea Information Processing Society
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• v.3 no.3
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• pp.449-459
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• 1996

The main goal of this paper is to introduce a novel definition for fuzzy mathematical morphology and a neural network implementation. The generalized- mean operator plays the key role for the definition. Such definition is well suited for neural network implementation. The first stage of the shared-weight neural network has adequate architecture to perform morphological operation. The shared- weight network performs classification based on the features extracted with the fuzzy morphological operation defined in this paper. Therefore, the parameters for the fuzzy definition can be optimized using neural network learning paradigm. Learning rules for the structuring elements, degree of membership, and weighting factors are precisely described. In application to handwritten digit recognition problem, the fuzzy morphological shared-weight neural network produced the results which are comparable to the state-of art for this problem.

• Journal of the Korean earth science society
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• v.30 no.7
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• pp.909-927
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• 2009

Inquiry became an essential methodology in science education. Recently, argumentation becomes more important in inquiry, but inquiry-based teaching in school science would not provide enough opportunities for students to have voluntary and active interactions during inquiry activities. Informal science learning can be an alternative for authentic inquiry. Accordingly, this study aims to find interaction patterns in dialogic inquiry of junior high school students in small groups in the natural history gallery. Inquiry elements and interaction patterns are analyzed with 42 dialogues of 13 small groups. As a result, seven interaction patterns are identified. First, five major interaction patterns were drawn as follows; Sharing questions, asking questions and simple response, asking questions and simple explanation, asking questions-simple explanation-(collecting data)-data based explanation, and asking questions-collecting data-data based explanation. Second, pattern 2, 'asking questions and simple response', is subdivided into three categories; passive and/or evasive response, inaccurate response, and repeated patterns of asking questions-simple response. The results of the study provide different patterns of dialogic interactions in a small group inquiry in informal contexts from formal contexts, and provide foundations to understand middle school students' interactive dialogues of inquiry occurred in the natural history gallery.

• Journal of Christian Education in Korea
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• v.74
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• pp.273-294
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• 2023

The purpose of this study is to use K-MOOC, which has limitations in utilization because it is centered on theory delivery, to derive tasks to activate the teaching methods of instructors, and to implement the derived tasks using the metaverse platform. to develop a prototype. According to the purpose of the study, the study was conducted as follows. First, from October 4 to November 15, 2022, a Delphi survey was conducted on 21 experts with experience of consulting, research, class development, and operation related to the K-MOOC project. Second, in order to realize the tasks in the teaching method field derived from the Delphi survey, matching with the teaching method class model elements to result of Delphi survey was applied was carried out. Finally, based on the results of expert Delphi and the elements of the class model applicable to the metaverse platform, a teaching method was developed. Through the process of the study, a total of 16 detailed items were derived for the teaching method-related tasks for the activation of K-MOOC: support strategic tasks, teaching method competency, aspect of class design, evaluation and sharing of learning outcomes. By applying the metaverse, the teaching model elements for K-MOOC revitalization were derived from four categories: self-directed repetition, individualized problem solving, practice opportunity expansion, and immediate feedback, and matched with the first 16 detailed items. A four-step teaching model was completed: course attendance (step 1), mission analysis by individual level (step 2), sharing of mission solutions (step 3), and mission evaluation and feedback (step 4). Through the results of this study, the possibility of using the metaverse as a teaching practice platform was confirmed even in terms of the introduction and development of specialized techniques.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.348-362
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• 2010

In the Knowledge-based economy, it is inevitable for companies to implement knowledge management(KM in short) to improve management performance. In order to better understand the KM, it is necessary to examine the relationship between success factors of KM and KM performance in agribusiness sector. This study empirically analyzes the impact of success factors of Knowledge Management on companies' management performance in agribusiness cluster. From the survey data of 43 companies located in Sunchang fermented soybean products Industrial cluster, the study finds that four factors- learning culture, network, knowledge sharing and knowledge creating- influence management performance in a positive way. It also examines whether Industrial cluster strategy functions as a moderator between KM success factors and companies' performance. Furthermore, this study concludes that Sunchang fermented soybean Industrial cluster has not reached to the final stage of KM and suggests elements for further improvements.

• Journal of Engineering Education Research
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• v.8 no.3
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• pp.17-25
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• 2005

Changwon National University has been developing and using a computerized supporting system named SAVIORS for ABEEK(Accreditation Board for Engineering Education of Korea) related tasks since the year of 2001. The main purpose of the development of SAVIORS is to totally computerize all tasks related to ABTEK so that faculty staff may perform their job as readily and efficiently as possible. In this paper, detailed functions and utilization records of the SAVIORS are introduced for sharing the advantages of the system with other institutes.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.403-405
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• 2018

도시 속 상업 공간에서는 공간적 위치에 따른 지리적 이점이나 판매하는 상품뿐만 아니라, 해당 공간 속에서 소비자가 느낄 수 있는 문화와 감성이 소비자가 소비를 유하게 하는 중요한 요소가 되기도 한다. ICT 서비스 환경이 자리를 잡아 감과 동시에 제4차 산업 혁명이 도래하고 있는 현대 정보화 환경 속에서 소비자들은 자신의 심리나 감성, 정서에 들어맞는 공간에 방문하며 소비하고 SNS를 통해 공유한다. SNS는 Social Network Service의 줄임말로 너무나 일반적으로 우리 일상에 들어와 있는 개념이다. SNS의 시작은 마케팅의 한 분야로 시작된 것으로 판단된다. SNS를 이용한 홍보마케팅은 21세기에 접어들면서 고객들의 주관적인 개개인의 욕구 충족과 감성을 중시하게 됨으로써 예전보다 더 복합적이며 정교해졌다. 본 연구는 SNS 데이터를 블로그, 카페, 페이스북, 인스타그램에서 지역 명칭을 키워드로 1년간 콘텐츠를 크롤링하며, 형태소 분석기를 통해 학습할 수 있도록 데이터 전처리 작업을 한다. 마지막으로 딥러닝 알고리즘인 RNN 중 LSTM을 사용하여 감성 분석 학습 모델을 만들어서 지역별 콘텐츠의 주요분야, 긍/부정을 판별한다. 이렇게 분석한 데이터를 이용해 각 지역만의 특색과 인기 분야, 비인기 분야, 더 나아가 유망한 분야를 알아본다.

• Information Systems Review
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• v.13 no.2
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• pp.1-16
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• 2011

Recently, many companies have started to manage and support CoPs formally at the organizational level because of strategic usability of CoP. These companies are also seeking ways to motivate CoP members to actively participate in their groups. Accordingly, this paper proposes one way of increasing CoP activities by rearranging CoP members. In practice, active CoP members often lead their groups. Therefore, rearranging members can, eventually, be one method to motivate more individuals to participate in CoP activities. This paper first suggests a new approach in order to improve knowledge sharing activities at the organizational level based on rearranging members of current CoPs. Second, a mathematical model is presented which maximizes total BLS (Balanced Level Score) of company A with several constraints. Then a real world problem is changed to a popular problem, VRP to solve this problem. Third, the solution program was developed to find a meaningful solution.

• Proceedings of the KAIS Fall Conference
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• 2007.05a
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• pp.162-164
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• 2007

현재 전국 16개 시도교육청에서는 제작한 대량의 인터넷 동영상을 서비스하고 있으나 제작 인터넷 동영상 콘텐츠의 재사용 및 공동활용을 높이기 위해서는 인터넷 동영상 개발 과정에서 필요한 효율적 콘텐츠 개발 방법과 품질관리를 포함한 콘텐츠 관리가 요구된다. 인터넷 동영상 공동 활용을 위해 다수의 정보저장소를 사용함으로 메타데이터 등록의 중복 작업이 발생하며, 이를 해결하기 위해서는 인터넷 동영상 공동 활용을 위한 시스템적인 연계가 필요하다. 이 논문에서는 인터넷 동영상 콘텐츠의 유통을 위한 인터넷 동영상 메타데이터의 역할과 요건, 그리고 교육정보 메타데이타의 특성을 살펴보고 인터넷 동영상 메타데이타 적용 원칙 및 메타데이타 필수 구성 요소를 도출하였다. 또한 인터넷 동영상 메타데이터의 전국교육정보공유체제 및 사이버가정학습서비스와 효과적으로 연계 하기 위한 모델을 제시한다

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.415-418
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• 2004

컨텍스트 인식은 유비쿼터스 컴퓨팅 환경에서 사용자의 주변환경과 상태에 따라 양질의 서비스를 제공할 수 있는 중요한 요소이다. 컨텍스트 인식을 위한 정보 수집 도구로는 이동이 편리한 소형 모바일 장치와 그 안에 내장된 모바일 에이전트를 이용하고 있다 현재 모바일 에이전트는 각 사용자의 컨텍스트 정보를 수집하고 인식하는데 많은 시간과 비용이 소모되고 있다. 이에 모바일 에이전트의 부하를 줄이고, 빠른 시간내에 사용자의 컨텍스트 정보 인식을 위한 구조에 대한 연구가 필요하다. 본 논문에서는 모바일 에이전트에 협력적 필터링 기법과 P2P 에이전트를 혼합한 P2P 모바일 에이전트 구조를 제안한다. 제안한 구조는 동일 지역내에서 각 사용자의 컨텍스트 정보를 분석하고 비슷한 선호도를 갖는 사용자들로 그룹핑하며, 그룹핑된 사용자는 P2P 모바일 에이전트를 이용하여 정보를 공유한다. 또한 이 구조는 사용자들의 행위와 서비스를 지속적으로 관찰 및 학습하여 새로운 상관 관계를 측정하도록 하였다.