Feature construction for student group forming based on their browsing behaviors in an E-learning system

Tiffany Y. Tang, Chun Chung Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

14 Citations (Scopus)

Abstract

Group learning is an effective and efficient way to promote greater academic success. However, almost all group-learning systems stress collaborative learning activity itself, with few focused on how groups should be formed. In this paper, we present a novel group forming technique based on students’ browsing behaviors with the help of a curriculum knowledge base. To achieve this, a data clustering technique was adopted. Before clustering, new features are constructed based on an arithmetic-composition-based feature construction technique. Preliminary results have shown that the new features can well represent the problem space and thus make the group forming outcomes more convincing.
Original languageEnglish
Title of host publicationPRICAI 2002
Subtitle of host publicationTrends in Artificial Intelligence - 7th Pacific Rim International Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages512-521
Number of pages10
ISBN (Print)3540440380, 9783540440383
Publication statusPublished - 1 Jan 2002
Event7th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2002 - Tokyo, Japan
Duration: 18 Aug 200222 Aug 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2417
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2002
Country/TerritoryJapan
CityTokyo
Period18/08/0222/08/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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