|Jens O. Liegle [a1] [a2]|
Department of Computer Information Systems
Georgia State University [u1] [u2]
Atlanta, Georgia, USA [c1] [c2]
However, researchers and developers quickly find out that developing such systems is an enormous task, which is further complicated by the fact that one cannot simply borrow tools from other systems and incorporate them due to various levels of incompatibility at the programming and knowledge base level. To allow for more general ITS, which means that it can be used in other domains, it is required that ITS should be designed and implemented so as to support easy modification of lecture content, modification of decision rules in the expert system, and to support various methods to measure the performances of learning.
In this paper, we propose a general framework and data model for web-based adaptive ITS that allows knowledge to be stored in such a way that is not only independent of the knowledge domain, but also supports the storage of transfer knowledge relationships and prerequisite knowledge relationships. We expect that our unified approach could contribute to the establishment of cumulative research traditions in ITS studies.
Keywords: intelligent tutoring systems, cognitive style, learning style, system development, framework
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