A web-based tutoring system with styles-matching strategy for spatial geometric transformation

Hao Chuan Wang, Tsai Yen Li, Chun Yen Chang

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

It has been a major objective for researchers to develop computer systems that can effectively deliver instruction to learners. Therefore, how to incorporate instructional strategies in computer-assisted learning systems in a systematic manner deserves further investigation. In this paper, a style-matching strategy that attempts to match learning materials' styles to learners' latent traits is proposed and realized in a web-based tutoring system, called CooTutor. The mechanism of adaptive material selection takes learners' different spatial ability and learning styles as an integral learning profile into account, and performs traits-based personalization of learning experience. This system is specifically designed to conquer the difficulty of tutoring the topic on fundamental spatial geometry in conventional curriculums. By conducting empirical evaluation with a small group of students, it is found that CooTutor is generally beneficial to learning the domain, but the effect of the styles-matching mechanism remains inconclusive. The work aims to contribute to the community of adaptive hypermedia in providing an explorative example adopting the concern of individual difference for personalization. The system design, a usage scenario, and an exploratory evaluation are presented in this paper as implications for further studies.

Original languageEnglish
Pages (from-to)331-355
Number of pages25
JournalInteracting with Computers
Volume18
Issue number3
DOIs
Publication statusPublished - 2006 May

Keywords

  • Adaptive hypermedia
  • Learning style
  • Personalization
  • Spatial ability
  • Web-based Learning

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'A web-based tutoring system with styles-matching strategy for spatial geometric transformation'. Together they form a unique fingerprint.

  • Cite this