With the prevalence and explosive growth of distance education via the World Wide Web, many efforts are dedicated to make distance education more effective. We present a Rough Set model to provide an instrument for learner self-assessment when taking courses delivered via the World Wide Web. The Rough Set Based Inductive Learning Algorithm generates definite and probabilistic(general) rules, which are used to provide feedback to learners.
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