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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. [ABSTRACT FROM AUTHOR]

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. Keywords: programming learning, Wiki system, Knowledge management. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]