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Aiding Transfer in Statistics: Examining the Use of Conceptually Oriented Equations and Elaborations During Subgoal Learning.

    1. [1] Arizona State University

      Arizona State University

      Estados Unidos

    2. [2] Georgia Institute of Technology

      Georgia Institute of Technology

      Estados Unidos

    3. [3] Louisiana State University in Shreveport

      Louisiana State University in Shreveport

      Estados Unidos

  • Localización: Journal of educational psychology, ISSN-e 1939-2176, ISSN 0022-0663, Vol. 95, Nº. 4, 2003, págs. 762-773
  • Idioma: inglés
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  • Resumen
    • Consistent with a subgoal-learning approach, the authors hypothesized that learners who studied statistics examples with conceptually oriented equations would transfer more successfully to novel problems compared with learners who studied examples using computationally oriented equations. The conceptually oriented equations were designed to capture the relationship between the concept and its computation, whereas the computationally oriented equations were designed to simplify calculations. This hypothesis was supported across 2 experiments. The authors also examined the implications of providing learners with elaborations of the procedures illustrated in the examples either before or after they studied them. The location of the elaborations had no apparent effect. Overall, these results demonstrate that solution procedures organized around appropriate conceptually oriented subgoals are easier to adapt for novel problems than procedures built around computationally friendly, but conceptually opaque, steps. (PsycINFO Database Record (c) 2016 APA, all rights reserved)


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