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dc.contributor.authorSu, JMen_US
dc.contributor.authorTseng, SSen_US
dc.contributor.authorChen, CTen_US
dc.contributor.authorTsai, WNen_US
dc.date.accessioned2014-12-08T15:37:25Z-
dc.date.available2014-12-08T15:37:25Z-
dc.date.issued2004-11-01en_US
dc.identifier.issn1016-2364en_US
dc.identifier.urihttp://hdl.handle.net/11536/25736-
dc.description.abstractWith the vigorous development of the Internet, e-learning systems have become more and more popular. Currently, to solve the issue of sharing and reusing teaching materials in different e-learning systems, several standard formats, including SCORM, IMS, LOM, AICC etc., have been proposed by international organizations. Among these international standards, the Sharable Content Object Reference Model (SCORM) has become the most popular standard in recent years. In the SCORM standard, Sequencing and Navigation (SN), which is based on the concepts of learning activities, defines the course sequencing behavior, which controls the sequencing, selecting and delivering of the course, and organizes the content into a hierarchical structure, namely, an Activity Tree (AT). For a large-scale learning activity, the Activity Tree will become too complex to manage and reuse, as will its sequencing behavior rules. Moreover, the lack of inter-relations among Activity Trees also makes reusing and integrating them hard. This implies that the scalability and flexibility of an adaptive learning system will be limited. Therefore, how to create, represent and maintain an AT and associated sequencing definitions is our concern. In addition, for a personalized learning environment, how to extend the structure of an AT with Pedagogical Theory has also become an important issue. Therefore, in this paper, we extend and modularize the structure of an AT by applying Pedagogical Theory and the concept of the Object Oriented Methodology, respectively. Thus, we first propose a novel model, the Instructional Activity Model (IAM), which is composed of related AT nodes. Each AT node in IAM is modularized as a learning unit with inter-relations and specific attributes, which can be easily managed, reused, and integrated. We also propose an AT Selection algorithm with a pedagogical strategy for traversing IAM in order to generate dynamic learning content for the learner. IAM with its scalability and flexibility can apply appropriate pedagogical theories to meet specific needs by means of extension scheme. Finally, we propose a systematic approach to fast and easily construction of IAM using traditional course resources.en_US
dc.language.isoen_USen_US
dc.subjectadaptive learningen_US
dc.subjectintelligent tutoring systemen_US
dc.subjectSCORMen_US
dc.subjectactivity treeen_US
dc.subjectpedagogical theoryen_US
dc.titleAdaptive learning environment to meet pedagogical needsen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.journalJOURNAL OF INFORMATION SCIENCE AND ENGINEERINGen_US
dc.citation.volume20en_US
dc.citation.issue6en_US
dc.citation.spage1057en_US
dc.citation.epage1077en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000225329700003-
Appears in Collections:Conferences Paper


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