Using fuzzy techniques to model students in Web-based learning environments

Essam Kosba*, Vania Dimitrova, Roger Boyle

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (SciVal)

Abstract

The paper illustrates how fuzzy techniques can be used to address problems experienced in widespread computing systems for distance learning. We have developed the TADV (Teacher ADVisor) framework, which builds student, group, and class models based on the tracking information generated by a Web Course Management System (WCMS) and uses these models for generating advice to the course instructors/facilitators. This paper introduces TADV and describes the fuzzy approach used for extracting individual, group and class models.

Original languageEnglish
Pages (from-to)222-229
Number of pages8
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2774 PART 2
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom of Great Britain and Northern Ireland
Duration: 03 Sept 200305 Sept 2003

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