Conocimiento del contenido sobre correlación y regresión de futuros profesores

  1. Batanero Bernabeu, María del Carmen 2
  2. María M. Gea 2
  3. Pedro Arteaga 2
  4. J.M. Contreras 2
  5. Carmen Díaz 1
  1. 1 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

  2. 2 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Journal:
RELIME. Revista latinoamericana de investigación en matemática educativa

ISSN: 1665-2436

Year of publication: 2018

Volume: 21

Issue: 3

Pages: 325-348

Type: Article

DOI: 10.12802/RELIME.18.2134 DIALNET GOOGLE SCHOLAR

More publications in: RELIME. Revista latinoamericana de investigación en matemática educativa

Abstract

This research aimed to identify content knowledge (common, advanced and specialised) of correlation and regression in a sample of 65 prospective secondary and high school teachers. The participants’ written productions in different tasks proposed within a statistical project based on United Nations Data were analysed. Results suggest a good estimation of correlation and identification of the model of fit (common knowledge), correct ordering of explanatory variables according to their predictive value, some difficulty in explaining correlation by relationships different from causality (advanced knowledge), and a reasonable analysis of the project didactic suitability (specialised knowledge). We also inform of some biases, as well as the effect of task variables in the responses.

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Data source: Dialnet