A Learning Curve Analysis of Expert System Use*

Jane Fedorowicz · Effy Oz · Paul D. Berger

44 citations0/0 files storedDecision Sciences

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Decision Support System Applications Human-Automation Interaction and Safety AI-based Problem Solving and Planning

Abstract

ABSTRACT In this article, we study how an expert system affects novice problem solving in a financial risk analysis domain. We demonstrate that novice performance is improved after exposure to an expert system. Further, we show that novice performance continues to improve when the system is withdrawn. By comparing learning curves for people with exposure to those without, we can assess how much the system has benefitted its users. We demonstrate a quantitative methodology to measure the increment of learning due to the use of an information technology. We also explore the issue of how expertise is transferred from the system to the user.

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References

1979Statistics for Experimenters 1977Cognitive-Behavior Modification 1991Behind the Learning Curve: A Sketch of the Learning Process 1990Advances in the psychology of human intelligence 1989Learning and individual differences: Advances in theory and research.

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2010An experience curve-based decision support model for prioritizing restoration needs of cultural heritage 2001The effect of task complexity and expert system type on the acquisition of procedural knowledge 2006Could the use of a knowledge-based system lead to implicit learning?2002The impact of problem domains and knowledge acquisition techniques: a content analysis of P/OM expert system case studies 2001Transferring auditors’ internal control evaluation knowledge to management 2004The development of an expert system for managerial evaluation of internal controls 1996COMPUTERIZED DECISION AIDS FOR FLEXIBLE BENEFITS DECISIONS: THE EFFECTS OF AN EXPERT SYSTEM AND DECISION SUPPORT SYSTEM ON EMPLOYEE INTENTIONS AND SATISFACTION WITH BENEFITS 1994An Analysis of the Pedagogical Effects of Expert System Use in the Classroom

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