Feature construction for student group forming based on their browsing behavior in an educational system

Y. Tang, Chun Chung Chan

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

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 publicationLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)
PublisherSpringer Verlag
Pages512-521
Number of pages10
ISBN (Print)9783540440383, 9783540456834
DOIs
Publication statusPublished - 2002
EventPacific Rim International Conference on Artificial Intelligence [PRICAI] -
Duration: 1 Jan 2002 → …

Conference

ConferencePacific Rim International Conference on Artificial Intelligence [PRICAI]
Period1/01/02 → …

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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