Investigation of the use of navigation tools in web-based learning: A data mining approach

Christine G. Minetou, Sherry Y. Chen, Xiaohui Liu

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Web-based learning is widespread in educational settings. The popularity of Web-based learning is in great measure because of its flexibility. Multiple navigation tools provided some of this flexibility. Different navigation tools offer different functions. Therefore, it is important to understand how the navigation tools are used by learners with different backgrounds, knowledge, and skills. This article presents two empirical studies in which data-mining approaches were used to analyze learners' navigation behavior. The results indicate that prior knowledge and subject content are two potential factors influencing the use of navigation tools. In addition, the lack of appropriate use of navigation tools may adversely influence learning performance. The results have been integrated into a model that can help designers develop Web-based learning programs and other Web-based applications that can be tailored to learners' needs.

Original languageEnglish
Pages (from-to)48-67
Number of pages20
JournalInternational Journal of Human-Computer Interaction
Issue number1
StatePublished - Jan 2008


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