Understanding hypertext navigation through cluster analysis

Kimberly A. Lawless, Jonna Marie Kulikowich

Research output: Contribution to journalArticle

104 Scopus citations

Abstract

Hypertext documents are unlike traditional text for not only do they represent a computer-based medium, but also readers can process the hypertext in a nonlinear, random access fashion. The ability to navigate through hypertext sometimes presents individuals with difficulty perhaps because these readers do not possess adequate domain knowledge or interest in the topics encountered. This study was designed to inspect the navigational profiles of participants as they process a hypertext document. Using cluster analysis, three performance profiles emerged: 1) knowledge seekers, 2) feature explorers, and, 3) apathetic hypertext users. Analyses demonstrated that domain knowledge seems to differentiate among the cluster groups. Results indicated that students who are interested in computers and hypertext but who do not possess relevant amounts of domain knowledge aligned with the text material experienced difficulty when trying to comprehend hypertext. Implications for learning, assessment, and teaching are discussed.

Original languageEnglish (US)
Pages (from-to)385-399
Number of pages15
JournalJournal of Educational Computing Research
Volume14
Issue number4
DOIs
StatePublished - Jan 1 1996

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications

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