Knowledge Modeling for Adaptive Content Selection in Educational Hypermedia Systems
نویسندگان
چکیده
Adaptive content selection and sequencing is recognized as among the most interesting research questions in adaptive educational hypermedia systems. In this paper, we address the adaptive content selection problem in educational hypermedia systems proposing a concrete methodology for capturing expert’s knowledge on selection of learning content following the philosophy and principles of techniques derived from computational intelligence. The result is a generic decision model that mimics the way an expert decides on the selection problem.
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تاریخ انتشار 2003