Digital Scholarship@UNLV

Title

Comparing Self-Efficacy and Metacognition as Indicators of Performance

Authors

Deborah K. Smith, University of Nevada, Las VegasFollow
Jerry Cha-Jan Chang, University of Nevada, Las VegasFollow
Trevor T. Moores, University of Nevada, Las VegasFollow

Document Type

Conference Proceeding

Publication Date

2003

Publication Title

Proceedings of the Ninth Americas Conference on Information Systems

Publisher

Association for Information Systems

First page number:

3111

Last page number:

3115

Abstract

We report the results of a pilot study that compared the computer self-efficacy construct with metacognition. While self-efficacy is primarily affective and refers to one’s beliefs about one’s ability to perform a task, metacognition is primarily cognitive and refers to one’s thoughts about one’s ability to perform a task. Given their similarity, both have been used as surrogate measures of knowledge or skill. We developed an instrument to measure both constructs and applied the instrument to a set of MIS students taking an Analysis and Design course. Factor analysis produced a five-factor model, with metacognition factoring out as a unidimensional scale. Implications for further research are discussed.

Keywords

Ability; Computer users; Metacognition; Self-confidence; Self-efficacy; Students

Disciplines

Education | Electrical and Computer Engineering | Systems and Communications

Language

English

Comments

Conference held: Tampa, FL

Permissions

Used with permission from the Association for Information Systems, Atlanta, GA; 404-413-7444; www.aisnet.org. All rights reserved.

Repository Citation

Smith, D. K., Chang, J. C., Moores, T. T. (2003). Comparing Self-Efficacy and Metacognition as Indicators of Performance. Proceedings of the Ninth Americas Conference on Information Systems 3111-3115.
https://digitalscholarship.unlv.edu/met_fac_articles/16