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Applying semantic networks to hypertext design: Effects on knowledge structure acquisition and problem solving

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  • Mohamed Khalifa
  • Kathy Ning Shen

Abstract

One of the key objectives of knowledge management is to transfer knowledge quickly and efficiently from experts to novices, who are different in terms of the structural properties of domain knowledge or knowledge structure. This study applies experts' semantic networks to hypertext navigation design and examines the potential of the resulting design, i.e., semantic hypertext, in facilitating knowledge structure acquisition and problem solving. Moreover, we argue that the level of sophistication of the knowledge structure acquired by learners is an important mediator influencing the learning outcomes (in this case, problem solving). The research model was empirically tested with a situated experiment involving 80 business professionals. The results of the empirical study provided strong support for the effectiveness of semantic hypertext in transferring knowledge structure and reported a significant full mediating effect of knowledge structure sophistication. Both theoretical and practical implications of this research are discussed.

Suggested Citation

  • Mohamed Khalifa & Kathy Ning Shen, 2010. "Applying semantic networks to hypertext design: Effects on knowledge structure acquisition and problem solving," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1673-1685, August.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:8:p:1673-1685
    DOI: 10.1002/asi.21362
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