Using a problem-driven approach for teaching statistics at the African Institute for Mathematical Sciences

DSI - Health

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Giorgi_ICOTS10
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Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Published

Emanuele Giorgi

Publication date	8/07/2018
Number of pages	9
<mark>Original language</mark>	English
Event	ICOTS 10: 10th International Conference on Teaching Statistics - Kyoto TERRSA, Kyoto, Japan Duration: 8/07/2018 → 13/07/2018 Conference number: 10 http://icots.info/10/

Conference

Conference	ICOTS 10
Country/Territory	Japan
City	Kyoto
Period	8/07/18 → 13/07/18
Internet address	http://icots.info/10/

Abstract

The African Institute for Mathematical Sciences (AIMS) is a research and education institute with
multiple centers across Africa that offers Master-level programmes in statistics and applied
mathematics. In this paper, I first describe the teaching context and pedagogical objectives of
AIMS. I then propose a problem-driven approach for teaching statistics which emphasizes the role
of statistical inference as integral to scientific investigation. Finally, I illustrate a sample activity
where a case study in public health is used to introduce geo-statistical modelling to students. I
argue that the proposed approach helps students at AIMS to develop critical thinking skills and
gain a deeper understanding of the links between statistical modelling and science.

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