Teaching inferential statistics. A learning trajectory for primary, secondary and tertiary education
Arjen de Vetten, Leiden University
“Later school start time benefits teenagers” is an example of a claim about a population based on a sample. Such inferential statements are often found in the media. Many tertiary students encounter inferential statistics in their studies, but struggle to understand it. I will present a concept learning trajectory how to teach inferential statistics from primary education onwards. First, I will talk about how my PhD research informs how to informally introduce primary school children to inferential statistics. Second, I will discuss how new teaching methods based on simulations, such as bootstrap methods, can help tertiary students to understand inferential statistics. Bringing these two research strands together I will present a cyclical learning trajectory for inferential statistics for primary, secondary, tertiary and vocational education. The discussion may focus on elaborating the learning objectives for the various educational levels.
Where: The seminar was held at Utrecht Science Park (Uithof): Minnaert 2-07
Mathematics Education Seminars are conducted monthly; additional information can be found on the seminar webpage
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- Utrecht Science Park (Uithof): Minnaert 2-07