Mrs Anna Fergusson
BSc (Operations Research), BMus (History & Literature), Graduate Diploma of Teaching (Secondary), MProfStuds (Mathematics Education)
I joined the statistics department at the start of 2015 as a Professional Teaching Fellow. Before joining the department, I was Director of Mathematics and Statistics at Avondale College. I have a Master of Professional Studies (Mathematics Education) with First Class Honours from the University of Auckland. I am currently studying towards a PhD in Statistics and Data Science Education, under the supervision of Maxine Pfannkuch, Chris Wild and Stephanie Budgett.
I am interested in Statistics and Data Science Education, in particular curriculum and assessment design, and enjoy facilitating workshops to support professional development of teachers. I have worked with the New Zealand Ministry of Education and the New Zealand Qualifications Authority on the development of national assessment standards, tasks and teaching resources for statistics. I also run a blog for statistics teachers: Teaching statistics is awesome
Research | Current
My MProfStuds (Mathematics Education) explored how teachers use informal tests to determine the fit of a probability distribution model. I developed a new informal test for the fit of a probability distribution model that incorporates sample size and the expected variation of sample proportions within a new simulation-based modelling visualisation tool.
My PhD research aims to find accessible ways to introduce statistics students to data science. This will include building data-related knowledge and capabilities and computational thinking within the New Zealand Curriculum for Statistics.
Anna Fergusson & Maxine Pfannkuch (2021) Introducing teachers who use GUI-driven tools for the randomization test to code-driven tools, Mathematical Thinking and Learning, DOI: 10.1080/10986065.2021.1922856
Anna Fergusson & Maxine Pfannkuch (2020) Development of an Informal Test for the Fit of a Probability Distribution Model for Teaching, Journal of Statistics Education, 28:3, 344-357, DOI: 10.1080/10691898.2020.1837039
Teaching | Current
STATS100 Concepts in Statistics (2018 - 2021)
STATS101/101G/108 Introduction to Statistics (2015 - 2021)
STATS150 Lies, Damned Lies and Statistics (2015 - 2017)
Early Career Excellence in Teaching Award (University of Auckland, 2020)
Goldstone Travelling Award (Faculty of Science, University of Auckland, 2020)
Teaching and Learning Development Grant (Faculty of Science, University of Auckland, 2020)
SEED grants for innovation in teaching (University of Auckland: 2018, 2019, 2020)
Teaching commendations from Dean of Science (University of Auckland: 2017, 2018, 2019)
Mathematics Education Technology Prize (University of Auckland, 2016)
First in class, STATS 708 (University of Auckland, 2015)
First in class, EDPROFST 787 (University of Auckland, 2015)
Jim Campbell Award for Excellence in Teaching (New Zealand Association of Mathematics Teachers, 2013)
Areas of expertise
Data science education
Technology for learning
New Zealand Statistical Association Education Committee (Steering group)
Ministry of Education Review of Achievement Standards Subject Expert Group (Statistics)
Statistics and Data Science Educator journal (Website and Technical Editor)
American Statistical Association (Meeting within a Meeting presenter, 2016 - 2021)
International Association for Statistical Education (2021 Satellite Conference International Program Committee)
Auckland Mathematical Association
New Zealand Association of Mathematics Teachers
Selected publications and creative works (Research Outputs)
- Fergusson, A., & Bolton, E. L. (2018). Exploring modern data in a large introductory statistics course. In M. A. Sorto, L. White, L. Guyot (Eds.) Looking back, looking forward. Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10, July, 2018) Voorburg, The Netherlands: International Statistical Institute. Related URL.
Other University of Auckland co-authors: Liza Bolton
- Fergusson, A. G. (2017). Informally testing the fit of a probability distribution model The University of Auckland. ResearchSpace@Auckland.
- Starnes, D., & Martin, A. (2015). The AP Statistics Exam: An Insider's Guide to its Distinctive Features. CHANCE, 28 (3), 28-37. 10.1080/09332480.2015.1099363
Primary office location
SCIENCE CENTRE 303 - Bldg 303
Level 3, Room 320
38 PRINCES ST