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Could the Use of a Knowledge-Based System Lead to Implicit Learning?

In: Handbook on Decision Support Systems 1

Author

Listed:
  • Solomon Antony

    (Murray State University)

  • Radhika Santhanam

    (University of Kentucky)

Abstract

The primary objective of a knowledge-based system (KBS) is to use stored knowledge to provide support for decision-making activities. Empirical studies identify improvements in decision processes and outcomes with the use of such knowledge-based systems. This research suggests that though a KBS is primarily developed to help users in their decisionmaking activities, as an unintentional consequence it may induce them to implicitly learn more about a problem. Implicit learning occurs when a person learns unconsciously or unintentionally, without being explicitly instructed or tutored. To test these ideas, a laboratory- based experiment was conducted with a KBS that could provide support for datamodeling activities. Results indicated support for implicit learning because subjects who interacted with the KBS exhibited better knowledge on data-modeling concepts. Two versions of the KBS were tested, one with a restrictive interface and the other with a guidance interface, and both versions of the interface supported implicit learning. Implications for future research on the design and development of KBSs are proposed.

Suggested Citation

  • Solomon Antony & Radhika Santhanam, 2008. "Could the Use of a Knowledge-Based System Lead to Implicit Learning?," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 35, pages 791-811, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48713-5_35
    DOI: 10.1007/978-3-540-48713-5_35
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