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Adaptive e-Learning in Knowledge Grid Environment (2008)

Abstract
Knowledge Grid is a platform that enables uniform and effective knowledge sharing and management across the Internet. Based on it, this paper proposes an adaptive e-Learning in China Knowledge Grid environment (CKG-AL for short), which supports the learner-centered, highly interactive and on-demand e-Learning with dynamic courseware construction. By incorporating ontology-based metadata for knowledge representation, learning objects for courseware construction and semantic link network for knowledge interconnection, CKG-AL can separate learning materials from its contents, which would in turn improves the efficiency and effectiveness for constructing and reusing courseware, and provides the basis for adaptive learning. By absorbing the ontology and intelligent agent technologies, CKG-AL constructs four level Knowledge Nets to support adaptive e-Learning, namely, KGDomain Knowledge Net, KGCourse Knowledge Net, KGTutor Knowledge Net,

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.129.6778
Source http://www.semgrid.net/citation-before-2006.1/kggi04_116.pdf
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Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords and KGLearner Knowledge Net, which are
Type text
Language English
Relation 10.1.1.16.295, 10.1.1.18.3250