| Summary: | 碩士 === 國立高雄師範大學 === 資訊教育研究所 === 90 === The purpose of this paper is to construct an agent-based recommender system for course sequences. Based on the SCORM-based standardized course objects, this system can be used to reduce teachers’ overload in terms of course editing from the Internet. The course we choose in this paper is “Introduction to computer science” as trial course content. In this multi-agent system, there are two agents: User Interface Agent (UIG) and Lesson Plan Agent (LPA). The former is in charge of teacher and agent communication. In contrast, the latter plays planning course sequences, keeping user model, and communication with UIG. Also, two ontologies play as semantic level communication for teachers vs. UIA and UIA vs. LPA. This paper starts to explore how to use intelligent agent technology and the SCORM-based course objects in educational research. The results of this paper have three constributions: 1.to reduce teachers’ overload in terms of course editing from the Internet; 2. to fully utilize reusabilities of course objects on the web; 3. to accumulate how to integrate intelligent agent technology into SCORM-based course objects in localization education.
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