Programme
Links to resources from the keynotes and workshops can be found here: https://drive.google.com/drive/folders/1RdXa9hClw0kJ6N8NGfTzIn-7bKOj0aTo?usp=sharing.
Timings
Note: This year there are two workshops sessions, but each session lasts 90 minutes. This was on request of teachers who wanted to have more time for each workshop.
8.30am Registration (Science 302 Foyer)
9am Welcome (MLT1 - 303-G23)
9:10am Keynote 1 (MLT1 - 303-G23)
10:10am Morning tea (Science 302 Foyer)
10.40am - 12:10pm Session 1 Workshop (Various rooms in Science 302/303)
12.10pm Lunch (Science 302 Foyer)
12:50pm - 2:20pm Session 2 Workshop (Various rooms in Science 302/303)
2.30pm Keynote 2 (MLT1 - 303-G23)
3.30pm End of day
Keynote 1
Anna Fergusson
Anna is a Lecturer in the Department of Statistics | Te Kura Tatauranga at the University of Auckland | Waiapapa Taumata Rau. Her research focuses on task and tool design for teaching data science and statistical modelling and for supporting the integration of statistical and computational thinking. She is obsessed with all things data technology related and with designing accessible "first exposure" learning experiences with data, statistical models, and computer programming. Anna is also the 2023 NZAMT Bevan Werry Speaker.
Fake it til you make it!
Model-generated data (simulated or synthetic data, AKA fake data) can be a powerful tool for making abstract statistical or probability concepts more concrete for ākonga. Drawing on theoretical and practical aspects of my research with high school statistics teachers' and probability modelling task design, we'll explore both familiar and new tools for generating and visualising random data from models, in our pursuit to create animated monsters who can fake it as humans (in at least one aspect of human behaviour).
Workshops
Keynote 2
Malia Puloka
Malia is a Professional Teaching Fellow in the Department of Mathematics, University of Auckland | Waipapa Taumata Rau. Apart from teaching, she is also the coordinator of the Tuākana Mathematics programme, an academic support programme for Māori and Pasifika undergraduate students. Malia is currently completing her PhD study in Statistics Education looking at exploring students' reasoning with categorical data, with a focus on posing investigative questions. Prior to teaching at the university, Malia was a secondary school mathematics and statistics teacher for 14 years – 4 years in Tonga and 10 in Aotearoa.
What’s in a Pasifika name?
We will engage in a few activities that I used with Year 9 students to pique their curiosity and to provide a pathway for developing their data construction and data interpreting skills. Starting from an idea, to building a case, creating survey questions, generating a dataset, towards reading and interpreting datasets, this session is going to be fun and interactive, and you will be working in groups.