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This paper proposes a framework to create customizable on-demand educational contents with automated assessment. This framework can sequence educational contents logically based on content dependency, both implicit dependency in domain ontology and/or explicit dependency in external specifications. Based on the dependency information, the framework can propose several alternative and ranked learning paths so that educators or learners can make intelligent decisions. A metric called "Learning Path Relevance" can be used to evaluate alternative learning paths.
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