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Flow Graphs and Decision Algorithms Read chapter Read first chapter

2003 | OriginalPaper | Chapter

A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance Education

Authors : Hongyan Geng, Brien Maguire

Published in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Publisher: Springer Berlin Heidelberg

Included in: Professional Book Archive

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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.

previous chapter Approximate Reducts of an Information System
next chapter A Synthesis of Concurrent Systems: A Rough Set Approach
Metadata
Title
A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance Education
Authors
Hongyan Geng
Brien Maguire
Copyright Year
2003
Publisher
Springer Berlin Heidelberg
Book
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Print ISBN: 978-3-540-14040-5

Electronic ISBN: 978-3-540-39205-7

Copyright Year: 2003

DOI
https://doi.org/10.1007/3-540-39205-X_42