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Analyzing CAD competence with univariate and multivariate learning curve models

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Author

Summary, in English

Understanding how learning occurs, and what improves or impedes the learning process is of importance to academicians and practitioners; however, empirical research on validating learning curves is sparse. This paper contributes to this line of research by collecting and analyzing CAD (computer-aided design) procedural and cognitive performance data for novice trainees during 16-weeks of training. The declarative performance is measured by time, and the procedural performance by the number of features used to construct a design part. These data were analyzed using declarative or procedural performance separately as predictors (univariate), or a combination of declarative or procedural predictors (multivariate). Furthermore, a method to separate the declarative and procedural components from learning curve data is suggested. (C) 2008 Elsevier Ltd. All rights reserved.

Department/s

Publishing year

2009

Language

English

Pages

1510-1518

Publication/Series

Computers & Industrial Engineering

Volume

56

Issue

4

Document type

Journal article

Publisher

Elsevier

Topic

  • Psychology (excluding Applied Psychology)

Keywords

  • Learning curves
  • Procedural knowledge
  • CAD
  • Declarative knowledge
  • Empirical study
  • training

Status

Published

ISBN/ISSN/Other

  • ISSN: 0360-8352