Open AccessTEACHING PROBABILITY WITH THE SUPPORT OF THE R STATISTICAL SOFTWARE
Author(s) -
Robson dos Santos Ferreira,
Verónica Yumi Kataoka,
Mônica Karrer
Publication year - 2014
Publication title -
statistics education research journal
Language(s) - English
Resource type - Journals
ISSN - 1570-1824
DOI - 10.52041/serj.v13i2.286
Subject(s) - tree diagram , computer science , probabilistic logic , perspective (graphical) , mathematics education , context (archaeology) , software , constructionism , literacy , artificial intelligence , mathematics , psychology , pedagogy , bayesian probability , programming language , paleontology , posterior probability , biology
The objective of this paper is to discuss aspects of high school students’ learning of probability in a context where they are supported by the statistical software R. We report on the application of a teaching experiment, constructed using the perspective of Gal’s probabilistic literacy and Papert’s constructionism. The results show improvement in students’ learning of basic concepts, such as: random experiment, estimation of probabilities, and calculation of probabilities using a tree diagram. The use of R allowed students to extend their reasoning beyond that developed from paper-and-pencil approaches, since it made it possible for them to work with a larger number of simulations, and go beyond the standard equiprobability assumption in coin tosses.First published November 2014 at Statistics Education Research Journal Archives