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Analyzing CAD competence with univariate and multivariate learning curve models

Författare:
Publiceringsår: 2009
Språk: Engelska
Sidor: 1510-1518
Publikation/Tidskrift/Serie: Computers & Industrial Engineering
Volym: 56
Nummer: 4
Dokumenttyp: Artikel
Förlag: Elsevier Science Ltd

Sammanfattning

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.

Disputation

Nyckelord

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

Övriga

Published
Yes
  • ISSN: 0360-8352

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