A review of group-based methods for teaching statistics in higher education

Author:

Jones Elinor1,Palmer Tom23

Affiliation:

1. Department of Statistical Science, University College London, London WC1E 6BT, UK

2. Department of Mathematics and Statistics, Lancaster University, Lancaster LA1 4YF, UK

3. MRC Integrative Epidemiology Unit and Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK

Abstract

Abstract The teaching of statistics in higher education in the UK is still largely lecture based. This is despite recommendations such as those given by the American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education report that more emphasis should be placed on active learning strategies where students take more responsibility for their own learning. One possible model is that of collaborative learning, where students learn in groups through carefully crafted ‘problems’, which has long been suggested as a strategy for teaching statistics. In this article, we review two specific approaches that fall under the collaborative learning model: problem- and team-based learning. We consider the evidence for changing to this model of teaching in statistics, as well as give practical suggestions on how this could be implemented in typical statistics classes in higher education.

Funder

UK Medical Research Council

University of Bristol

Publisher

Oxford University Press (OUP)

Subject

Education,General Mathematics

Reference57 articles.

1. Teaching statistics to medical students using problem-based learning: the Australian experience;Martin Bland;BMC Med. Educ.,2004

2. Co-creation in learning and teaching: the case for a whole-class approach in higher education;Bovill;High. Educ.,2019

3. A problem-based learning approach to teaching biostatistics;Boyle;J. Stat. Educ.,1999

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