Assessing descriptive statistical knowledge of future mathematics teachers

Authors

  • Felipe Ruz Universidad de Granada
  • Elena Molina-Portillo Universidad de Granada
  • José Miguel Contreras Universidad de Granada

DOI:

https://doi.org/10.35763/aiem.v0i18.268

Abstract

In this work we present the process of construction and pilot implementation of an instrument to evaluate the knowledge about stochastic of prospective mathematics teachers, in relation to descriptive statistics content. The tests were carried out in a sample of 126 prospective mathematics teachers, from Spain and Chile. The results are organized starting with some indicators on the psychometric properties of the items analysed and the overall results of the questionnaire. From here, we jointly study the items that conform each category of knowledge of the content in focus, between common or expanded, looking for differences amongst the sample groups. We conclude that the instrument has acceptable characteristics, as well as the items analysed, and its reformed application is projected into the future.

Downloads

Download data is not yet available.

Downloads

Published

2020-11-01

How to Cite

Ruz, F., Molina-Portillo, E. ., & Contreras, J. M. (2020). Assessing descriptive statistical knowledge of future mathematics teachers . Advances of Research in Mathematics Education, (18), 55–71. https://doi.org/10.35763/aiem.v0i18.268

Issue

No. 18 (2020)

Section

Artículos

License

The articles published in this journal are under a license Creative Commons: By 4.0 España from  number 21 (2022).

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and keep the acknowledgement of authorship.
  2. The texts published in this journal are – unless indicated otherwise – covered by the Creative Commons Attribution 4.0 international licence. You may copy, distribute, transmit and adapt the work, provided you attribute it (authorship, journal name, publisher) in the manner specified by the author(s) or licensor(s). The full text of the licence can be consulted here: http://creativecommons.org/licenses/by-nc/4.0.
  3. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  4. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Most read articles by the same author(s)