id: 06568658
dt: a
an: 2016c.00917
au: Meletiou-Mavrotheris, Maria; Paparistodemou, Efi; Serrado Bayes, Ana
ti: Supporting the development of college-level students’ statistical
reasoning: the role of models and modeling.
so: Amado, Nélia (ed.) et al., Proceedings of the 12th international
conference on technology in mathematics teaching, ICTMT 12. Faro:
University of Algarve (ISBN 978-989-8472-68-7). 58-67 (2015).
py: 2015
pu: Faro: University of Algarve
la: EN
cc: K75 K85 U75
ut: modelling; dynamic statistics software; model eliciting activities;
inferential statistics; informal statistical inference
ci:
li:
ab: Summary: The transition from descriptive to inferential statistics is a
known area of difficulties for students. This article shares the
experiences from a teaching experiment in a graduate-level quantitative
research methods course, which adopted a non-conventional approach to
teaching statistics that put models and modelling at the core of the
curriculum. Findings indicate that the informal approach to statistical
inference adopted in the course, which focused on modelling and
simulation using the dynamic statistics software Tinkerplots2 as an
investigation tool, promoted powerful ways of thinking statistically,
while at the same time also developing students’ appreciation for the
practical value of statistics. The affordances offered by the
technological tool for building data models and for experimenting with
these models to make sense of the situation at hand, were instrumental
in supporting student understanding of both informal and formal
inferential statistics.
rv: