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This discussion paper identifies 5 priority research projects about generative artificial intelligence (GenAI) tools in education and invites the education research community to partner with us. Working together we can better understand how to harness GenAI tools to reverse growing inequity in student learning outcomes.

This project identifies trends, challenges and opportunities in education datasets and generates actionable insights that can support improved outcomes in schools and ECEC services.

We found less than 1 in 5 students who perform below the national minimum standards in literacy and numeracy in the Year 3 NAPLAN tests catch up and stay caught up.

This paper is the second in a series of Analytical Insights papers, which provide accessible, up-to-date analysis of educational datasets.

This technical report describes the creation of the Longitudinal Literacy and Numeracy in Australia (LLANIA) dataset, including the linkage process and quality assurance methods.

Improving the quality, accessibility and endurability of national school data architecture.

Submission on initiatives for supporting recruitment and retention of teachers

The review was administered by the Australian Education Research Organisation (AERO) and conducted by the Centre for International Research on Education Systems (CIRES) at Victoria University. 

By examining literacy and numeracy results across assessments, we can better understand the performance of Australian students over time; we can pinpoint areas of national strength and weakness and improve Australia’s educational outcomes.

This paper is the first in a series of Analytical Insights papers, which provide accessible, up-to-date analysis of educational datasets.

We look at who is not sitting the tests and why that matters.