Experience effects on the accuracy of self-assessed user competence

Authors:
Jane I. Gravill;Deborah R. Compeau;Barbara L. Marcolin
Affiliations:
Richard Ivey School of Business, The University of Western Ontario, London, Ont., Canada N6A 3K7;Richard Ivey School of Business, The University of Western Ontario, London, Ont., Canada N6A 3K7;Haskayne School of Business, The University of Calgary, Calgary, Alta., Canada T2N 1N4
Venue:
Information and Management
Year:
2006

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Abstract

Self-managed learning is the normal way that users learn to work with software within organizations. To be effective, self-managed, learning requires individuals to self-assess their IT knowledge; accurate self-assessment helps them optimize the capabilities they possess and be aware of those they do not. This study demonstrated that, in general, individuals did not accurately self-assess their knowledge of the software they used. However, we also found that the accuracy of self-assessment increased with greater experience in, and better understanding of, IT domains. Organizations need to recognize the self-assessment problem to facilitate effective software learning and to gain the most from their software investments.