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Until now, the most web-based communication is based on texts or graphics in a collaborative learning context. However, texts have many limitations as a means of communication. The use of multimedia is very useful for effective communication because it helps to deliver nonverbal messages as tacit knowledge. User participation and communication techniques, which are emphasized in Web 2.0, are important for facilitating knowledge sharing. The latest User Created Content (UCC) technique, such as YouTube, Video Blog and Pandora TV, has many advantages for communication and knowledge sharing. In this paper, an adaptive QoS architecture is proposed to use Educational User Created Contents as multimedia and realtime multimedia pedagogically. This paper contributes towards an understanding of how to support adaptive QoS for learning environments in a web-based learning environment utilizing UCC.

Web-based instruction has a lot of potential power in constructivism learning theory, and multimedia-based learning is able to provide natural learning environments. However, existing e-learning platforms have a limitation to provide multimedia learning objects on the web because of network traffic problems, which make it difficult to use a large amount of multimedia learning objects or a synchronous video streaming in e-learning. In this paper, we propose an adaptive QoS architecture to use the large amount of multimedia and realtime multimedia pedagogically for e-learning. First, we introduce the pedagogical issues and adaptive issues. And then we describe the adaptive strategies and architecture to support adaptive QoS. The purpose of this paper is to contribute towards understanding how to support adaptive QoS for service-oriented learning environments of e-learning.

This study suggests the effective learning programming method using the Wiki Community Systems. In an e-Learning setting, it is hard to expect the growing learners' ability of thinking and collaboration when programming learning focuses on learning content. The Wiki Community systems we suggested, which are community-centered, however, can foster learners' ability of algorithm thinking through processing of sharing ideas and collaborating on a work with learners. We applied learning programming method using the Wiki Community systems to the fourth-grade elementary students. As a result, learners could share their ideas about solving problems and collaborate on the entire processes of learning. Furthermore, this system makes learners' knowledge for algorism to be more elaborate during learners are finding out the optimum algorithm and improve learners' thinking power.

The current informatics education in Korea is based on the guidelines for ICT education announced in Aug. 2000, which was very timely considering the need to utilize the infrastructure that had been constructed. Still, the essential question regarding informatics education as a tool for enhancing the learning effects and solving problems in daily living has been persistently raised. This study resolved the problems related to the informatics education implemented in Korean primary and secondary schools and considered various conditions for implementing the integrated informatics education. An integrated informatics curriculum designed to enhance problem solving capacity was also proposed. Finally, the new guidelines for ICT education announced in Dec. 2005 were introduced.

This study proposed the integrating architecture of knowledge information systems using intelligent agent. We analyzed the basic architecture of e-Learning system and digital library. We also classified the modules that can effectively integrate the each function of e-Learning and digital library. Through these analysis and classification, we designed the integrating architecture of e-Learning with digital library. We also described the roles and structures based on intelligent agent to be unified between e-Learning system and digital library. Especially, we proposed the integrating strategies of user modeling and learning metadata as the integrating architecture for contents sharing. Furthermore we provided a new integrating model for contributing the knowledge enlargement and the mutual prosperity between e-Learning and digital library.

There are many potential uses of a Wiki within a community-based digital library. Users share individual ideas to build up community knowledge by efficient and effective collaborative authoring and communications that a Wiki provides. In our study, we investigated how the community knowledge is organized into a knowledge structure that users can access and modify efficiently. Since a Wiki provides users with freedom of editing any pages, a Wiki site increases and changes dynamically. We also developed a tool that helps users to navigate easily in the dynamically changing link structure. In our experiment, it is shown that the navigation tool fosters Wiki users to figure out the complex site structure more easily and thus to build up more well-structured community knowledge base. We also show that a Wiki with the navigation tool improves collaborative learning in a web-based e-learning environment.

This study proposed the system for collecting the learning contents using the mobile agent in e-learning and m-learning. The mobile agent in wireless environment can provide the flexible works through a network and collect the adequate learning contents according to the learner?s request. Moreover, the mobile agent can reduce the communication expenses. In this study, we proposed the CAS system that the mobile agent intellectually collected the appropriate learning contents in wireless learning. We used the SCORM-based contents as learning materials. In order to examine the validity of proposed study, we designed and implemented proposed system with mobile agent.

Agent-based conference information management systems are proposed. Three different types of agent-based systems are introduced: single agent, multi agent and mobile agent. They manage the information intelligently and autonomously in Semantic Web using RDF and DAML.