Statistical computing : individual differences in learning at microscopic and macroscopic levels

Green, A. J. K. and Gilhooly, K. J. (1990). Statistical computing : individual differences in learning at microscopic and macroscopic levels. In: Gilhooly, K. J.; Keane, M. T. G.; Logie, R. H. and Erdos, G. eds. Lines of Thinking: Reflections on the Psychology of Thought, Volume 2. Chichester, UK: John Wiley and Sons Ltd, pp. 73–98.

Abstract

Learning may be viewed as a form of problem solving in which solvers aim to transform their competence from initial satisfactory levels to a desired level of proficiency. There are marked individual differences in the efficiency with which learning problems are talked, and this chapter will focus on differences between faster and slower learners in strategic and tactical processes in the domain of statistical computing. The principal methodology used in the study reported here was protocol analysis.

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