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

  • Solomon Antony
  • Radhika Santhanam
Part of the International Handbooks Information System book series (INFOSYS)

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.

Keywords

Decision Support System Implicit Learning Procedural Knowledge Case Tool Knowledge Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Solomon Antony
    • 1
  • Radhika Santhanam
    • 2
  1. 1.Murray State UniversityMurryUSA
  2. 2.University of KentuckyLexingtonUSA

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