Data-literacy

Data literacy for learning data

We have undertaken a number of projects around teacher data literacy and design for learning, and the idea of making learning visible. Much of this work is around how teachers (across sectors) think about the data they use in their practice, and what features of learning processes and products they would like insight into.

Digital and AI Literacy for Professionals

A body of work - particularly led by Dilek Cetindamar Kozanoglu - has focussed on digital transformation in organisations, and how managers and employees learn to work with digital technologies, including AI technologies.

Learning About Data and Fairness

In a project led by Kalervo Gulson (USyd), centre members are collaborating with the Gradient Institute and ANU’s Claire Benn to co-design an ‘algorithm game’ intending to explore issues around fairness and data, using the case study of the 2020 UK Exams Algorithm Controversy.

Maths Inside

The Maths Inside project offers a series of eight maths lessons that are based on real research projects that are undertaken by CSIRO researchers and mathematicians. They offer insights as to how maths is used to solve research problems.

Evaluating School-University Partnerships for Integrated STEM Learning

The Wanago evaluation examined participation by high school students in Engineering at UTS in the Facility of Engineering and IT. This evaluation was conducted in 2019 and was completed towards the end of 2020.