|Gail Burrill (USA)||firstname.lastname@example.org|
Research derives from the study of teaching and learning - paying attention
to what teachers and students know and do; why they make certain choices,
and the consequences of those choices. However, too often, the process
stops at the research with little effort to make connections back to the
classroom. In statistics at the school level this is compounded by the
sparse nature of the research around some important issues. The focus
of this session will be on what we can learn from research about learners
and how they come to understand certain concepts such as measures of central
tendency or regression, considering how what we know might interface with
the statistics curriculum and the classroom. We will also look at new
questions where research might help us better understand how to enable
students (and teachers) to come to know the underlying processes and principles
of statistics as well as mastering the computations.
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