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Undergraduate students' mental models of the Web as an information retrieval system

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  • Yan Zhang

Abstract

This study explored undergraduate students' mental models of the Web as an information retrieval system. Mental models play an important role in people's interaction with information systems. Better understanding of people's mental models could inspire better interface design and user instruction. Multiple data‐collection methods, including questionnaire, semistructured interview, drawing, and participant observation, were used to elicit students' mental models of the Web from different perspectives, though only data from interviews and drawing descriptions are reported in this article. Content analysis of the transcripts showed that students had utilitarian rather than structural mental models of the Web. The majority of participants saw the Web as a huge information resource where everything can be found rather than an infrastructure consisting of hardware and computer applications. Students had different mental models of how information is organized on the Web, and the models varied in correctness and complexity. Students' mental models of search on the Web were illustrated from three points of view: avenues of getting information, understanding of search engines' working mechanisms, and search tactics. The research results suggest that there are mainly three sources contributing to the construction of mental models: personal observation, communication with others, and class instruction. In addition to structural and functional aspects, mental models have an emotional dimension.

Suggested Citation

  • Yan Zhang, 2008. "Undergraduate students' mental models of the Web as an information retrieval system," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2087-2098, November.
  • Handle: RePEc:bla:jamist:v:59:y:2008:i:13:p:2087-2098
    DOI: 10.1002/asi.20915
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    Cited by:

    1. Yong‐Mi Kim, 2010. "The adoption of university library Web site resources: A multigroup analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 978-993, May.

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