Collaboration and Leadership in Teaching Statistics in Higher Education

ABSTRACT 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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Publication Details

Journal
Australian & New Zealand Journal of Statistics
Published
2025-08-04
DOI
https://doi.org/10.1111/anzs.70019
Citations
1
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
2.63

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article

Collaboration and Leadership in Teaching Statistics in Higher Education

Helen MacGillivray
1 citations
Australian & New Zealand Journal of Statistics
Statistics Education and Methodologies
2.63
article

Collaboration and Leadership in Teaching Statistics in Higher Education

Helen MacGillivray
article en
1 citations

Abstract

ABSTRACT 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.

Australian & New Zealand Journal of StatisticsVol. 67(4)
Queensland University of Technology (AU)
Queensland University of Technology
Openalex Percentile: Top 10%
Statistics Education and Methodologies
2.63
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