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The Application of a Distance Learning Algorithm in Web-Based Course Delivery

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Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

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Abstract

This paper discusses the implementation of the Distance Learning Algorithm (DLA), which is derived from the Rough Set Based Inductive Learning Algorithm proposed by Wong and Ziarko in 1986. Rough Set Based Inductive Learning uses Rough Set theory to find general decision rules. Because this algorithm was not designed for distance learning, it was modified into the DLA to suit the distance learning requirements. In this paper, we discuss implementation issues.

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Liang, A.H., Ziarko, W., Maguire, B. (2001). The Application of a Distance Learning Algorithm in Web-Based Course Delivery. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_41

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  • DOI: https://doi.org/10.1007/3-540-45554-X_41

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

  • eBook Packages: Springer Book Archive

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