This chapter discusses how collaboration and leadership shape effective teaching practices in statistics and data sciences.
Considerations of collaboration and leadership are relevant in all disciplines but are of particular significance in the statistical and data sciences. No matter how theoretical or practical, all statistical endeavours have roots or motivations in real problems linked with other disciplines and, in turn, often drive endeavours in these disciplines. Statistical problem‐solving has also often been the driver of developments in mathematics and information technologies. The multi‐faceted roles of collaboration in statistics feed into good practice in teaching statistics in many ways, especially in higher education. They also feed into constructs and practicalities of leadership in statistics and hence into both its teaching and learning. In investigating these issues, this chapter discusses that the long‐held advocacy that the teaching of statistics and science of data should reflect its practice applies to far more than active learning of statistical and data investigations. Examples are used to illustrate how good practice in teaching statistics is an integral and professional segment in the totality of the practice of and leadership in statistics.
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Helen MacGillivray (2025) studied this question.
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