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

Solomon Antony and Radhika Santhanam
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Solomon Antony: Murray State University
Radhika Santhanam: University of Kentucky

Chapter 35 in Handbook on Decision Support Systems 1, 2008, pp 791-811 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1007/978-3-540-48713-5_35

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