• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.391-393
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• 2002

최근 가상교육에서 학습 기술의 상호 운용성을 기반으로 한 표준화의 필요성을 인식하고 여러 국제표준기관을 통해서 기반 환경과 컨텐트 명세 및 활용에 대한 표준화 작업이 이루어지고 있다. 이로 인해 e-learning 분야에서는 국제표준을 소개하고 체제적으로 AICC(Aviation Industry CBT Committee), IMS(Instructional Management Systems) Global Learning Consortium, ADL(Advanced Distributed Learning)을 중심으로 진행되어 오고 있다. 특히, 미래의 진보적인 e-learning 환경 개발로, 기능별 5계층으로 구성된 LTSA(Learning Technology Standard Architecture)를 제정하고 이를 통한 개발을 지원하고 있다. 하지만, 이는 시스템 구성요소를 정의한 계층 3의 경우 데이터 흐름 모델로 작성되어 현재 개발 수준과 일치하지 않는 문제점을 가지는 모델로 인정한다. 본 논문에서는 표준 모델링 언어인 UML(Unified Modeling Language)을 통해 모델을 재정의하고, 각 프로세스별 단계를 메타모델로 제시하여 개발과 아키텍처의 이해에 대한 문제점을 해결하고자 한다. 또한, 재정의된 모델을 기반으로 e-learning 지원을 위한 분석, 설계 프로세스를 정의하여 이에 대한 사례를 제시한다. 이는 아키텍처를 기반으로 한 메타모델과 프로세스를 통한 교육영역의 질의 응답 학습 도구인 QALT(Query-Answer Learning Tool)에 적용한다. 모델의 재정의로 아키텍처의 이해성 및 이를 기반으로 하는 교육용 애플리케이션 개발의 용이성의 증대를 기대할 수 있으며, 모델의 재사용성을 보장할 수 있다.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.45-50
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• 2022

In this study, an e-portfolio system was constructed and utilized to communicate with students, while processing the overall procedure of teaching-learning activities as data for qualitative improvement in the non-face-to-face educational environment. The e-portfolio system was designed to support the entire process of reflection from the instructor's lesson planning, regular checking of the learner's understanding during the course operation process, online communication, and support for learner-centered educational activities. Analyzing the effectiveness of the communication-based learning effect between instructors and learners using the e-portfolio in liberal arts programming classes, which may be difficult for non-major students, a significant correlation was found in problem-solving skills, and midterm and final exams. Additionally, the result of analyzing the expanded applicability of e-portfolio satisfaction demonstrated a significant correlation with the students' computational thinking ability, test results, assignments, and academic performance. It was found to have a significant effect on the improvement of computational thinking ability. If non-face-to-face education is conducted using the proposed e-portfolio system type, it will be possible to improve the quality of online education, while communicating effectively with students.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.826-828
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• 2005

E-learning의 학습 컨텐츠는 점차 멀티미디어화 되고, 시스템 환경은 유비쿼터스 네트워크를 기반으로 고도화될(T-learning 및 U-learning) 것으로 예측된다. 학습자가 요구하는 멀티미디어 학습객체를 유비쿼터스 네트워크 환경에서 쉽게 찾아 학습자에게 효율적으로 전달하기 위해서는 메타데이터 관리 시스템의 도움이 필요하다. 이를 위해서는 멀티미디어 학습객체의 특성을 정확하게 기술하는 메타데이터 모델이 필요하고 효율적인 메타데이터 관리 시스템의 개발이 필요하다. 본 논문에서는 멀티미디어 학습객체를 위한 새로운 메타데이터 모델을 제안하고, 효율적인 메타데이터 관리를 위한 새로운 시스템을 설계하였다.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.353-360
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• 2007

최근 국가균형발전을 위한 문화콘텐츠산업의 비중은 날로 커지고 있으며 디지털 컨버젼스의 중심으로 부각되고 있다. 이러한 시대적, 사회적 요구에 즈음하여 정부의 지역문화 콘텐츠 육성 의지에 부합하는 전통건축물의 e-Learning을 위한 웹 기반 저작도구의 구현방법을 제안하고자 한다. 지금까지의 전통건축의 복원 및 재현은 전통적인 전수방식에 의존하거나 다분히 현상적인 수준에 그치고 있어, 우리 문화에서 중요한 위치를 차지하고 있는 전통건축물에 대한 저변의 확대와 보편적이고 대중적인 이해를 돕기에는 한계가 존재하는 것이 사실이다. 또한 전통건축에 관련한 교육자료는 대부분 고서(古書)나 텍스트에 의존하고 있는 것이 현실인 점을 감안할 때, 시각적이고 인터랙티브한 e-Learning 시스템의 연구는 필수적이라 할 것이다. 연구의 범위로서는 한국문화콘텐츠진흥원의 진행 중 사업인 문화원형복원사업인 "조선시대 탐라순력도의 디지털콘텐츠 개발"의 내용을 토대로 하며, 조선 중기인 17세기 제주도의 주심포계 전통건축을 대상으로 하고 있다. 본 연구의 내용은 1) 17세기 중엽 제주도의 주심포계 전통건축물에 대한 가구구조의 형성관계 및 그 형상을 디지털화하기 위한 데이터 체계를 제안하고, 2) 이에 따른 웹 기반의 가상전시 및 e-Learning 콘텐츠를 위한 시스템 구축의 프로토타입을 제시하며, 3) 상기 제시한 데이터 체계에 근거한 사용자 중심의 전통건축물 재현을 위한 3차원 저작환경 및 그 인터페이스를 제시한다. 이 결과로 전통건축물의 형성원리를 이해하고 전통 양식에 근거한 창의적 저작이 가능한 환경을 제시함으로써 멀티미디어 저작물 및 디자인 협업, 전통건축 유지보수 분야 등에 파급효과를 기대할 수 있다. 더불어 제안된 내용에 근거한 향후 연구로 전통건축물에 대한 일관되고 통합적인 관리방안과 그 실현수단에 대한 논의를 비롯하여 전통문화를 소재로 한 디지털 콘텐츠의 활용방안 및 그 부가가치에 대한 논의가 병행되어야 할 것이다.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.35.3-35
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• 2002

Reinforcement Learning (RL) is one of machine learning methods and an RL agent autonomously learns the action selection policy by interactions with its environment. At the beginning of RL research, it was limited to problems in environments assumed to be Markovian Decision Process (MDP). However in practical problems, the agent suffers from the incomplete perception, i.e., the agent observes the state of the environments, but these observations include incomplete information of the state. This problem is formally modeled by Partially Observable MDP (POMDP). One of the possible approaches to POMDPS is to use historical nformation to estimate states. The problem of these approaches is how t..

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.461-471
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• 2010

Recently, Augmented Reality(AR) technologies have been emerged, which shows the types of digital contents integrating real and virtual worlds. To maximize the effect of AR technology, tangible user interface, which enables users to interact with the contents in the same way in which they manipulate objects in real world, is applied. In particular, we expect that the technologies are able to enhance learners' interests and degree of immersion, and produce new learning contents in order to maximize the effect of learning. In this paper, we propose a learning system for scientific experiments with multi-touch screen and tangible user interface. The system consists of an experiment table equipped with a large multi-touch screen and a realistic learning device that can detect the user's simple gestures. In real world, some scientific experiments involve high cost, long time or dangerous objects, but this system will overcome such hindrance and provide learners with a variety of experiment experience in realistic ways.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1471-1476
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• 2013

This research examines how PBL(Problem-based Learning; PBL) system affects to 'Self-directed learning ability', by developing and applying it to the participants of "Science Cyber Conference" - the web based on-line debating learning program - among those students of the Affiliated Institute of Science gifted education of K University, for 16weeks. With this, also the cognizance of learners for the PBL class process are looked into together. After conducting the program applied with the web-based PBL strategy, the participants 'Self-directed learning ability' showed the remarkable change statistically (p<.05). Especially it showed the meaningful changes in six sections (p<.05), among those subdivided seven sections of 'Self-directed learning ability', with the one exception, 'Self-confidence as a Learner'. They also showed the positive response to the class which adopted the web-based PBL strategy.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.29-38
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• 2021

Purpose: This is a study to design an optimal Edutech teaching-learning platform model that can be linked with various types of LMS to activate e-learning. Methods: For this purpose, the contents of e-learning systems that can be used in the 4th industrial technology of cyber universities and general universities were cross-sectionally analyzed. Results: Cyber universities relied entirely on LMS, and general universities supplemented and utilized different Edutech methods for each professor such as Google Classroom, Zoom video communication, and YouTube in addition to LMS. It was considered that it would be meaningful to provide a minimal algorithm mapping to LMS to share metadata such as Google and YouTube for the Edutech teaching and learning platform model. Conclusion: Therefore, this study is expected to contribute to the improvement of teaching methods and academic achievement through the LMS-based Edutech teaching and learning platform model.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.73-83
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• 2020

Recently, the importance of self-directed learning has emerged in the fields of public education, private education, lifelong education, and vocational training education, in which learners can actively cope with knowledge in an infusion-oriented way. However, there are various theoretical knowledge such as concepts and strategies for self-directed learning, but the situation is insufficient for a system where learners can easily receive content in the academic field they want, depending on the actual self-directed learning operation plan or learning area. Therefore, since it is important to provide various learning content in this paper, we utilize text mining techniques to obtain appropriate information and refine and categorize the meaning. On-line, they want to study a system that provides a variety of content in the academic field that learners are trying to acquire.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.59-64
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• 2001

The robot soccer simulation game is a dynamic multi-agent environment. In this paper we suggest a new reinforcement learning approach to each agent's dynamic positioning in such dynamic environment. Reinforcement learning is the machine learning in which an agent learns from indirect, delayed reward an optimal policy to chose sequences of actions that produce the greatest cumulative reward. Therefore the reinforcement learning is different from supervised learning in the sense that there is no presentation of input pairs as training examples. Furthermore, model-free reinforcement learning algorithms like Q-learning do not require defining or learning any models of the surrounding environment. Nevertheless it can learn the optimal policy if the agent can visit every state- action pair infinitely. However, the biggest problem of monolithic reinforcement learning is that its straightforward applications do not successfully scale up to more complex environments due to the intractable large space of states. In order to address this problem. we suggest Adaptive Mediation-based Modular Q-Learning (AMMQL)as an improvement of the existing Modular Q-Learning (MQL). While simple modular Q-learning combines the results from each learning module in a fixed way, AMMQL combines them in a more flexible way by assigning different weight to each module according to its contribution to rewards. Therefore in addition to resolving the problem of large state effectively, AMMQL can show higher adaptability to environmental changes than pure MQL. This paper introduces the concept of AMMQL and presents details of its application into dynamic positioning of robot soccer agents.