Abstract
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.
Cite
CITATION STYLE
Geng, H., & Maguire, B. (2003). A rough set methodology to support learner self-assessment in web-based distance education. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2639, pp. 295–298). Springer Verlag. https://doi.org/10.1007/3-540-39205-x_42
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