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• W2029122316 abstract "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." @default.
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• W2029122316 date "2009-05-01" @default.
• W2029122316 modified "2023-10-18" @default.
• W2029122316 title "Analyzing CAD competence with univariate and multivariate learning curve models" @default.
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• W2029122316 doi "https://doi.org/10.1016/j.cie.2008.09.025" @default.
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