This guide is designed to help individuals and institutions understand the common roles and likely responsibilities of staff in relation to academic integrity. There are differing operational models across the sector, with some institutions preferring more or less centralised or decentralised academic integrity responsibilities. However, this resource should assist in identifying the role and associated actions you may undertake throughout the academic misconduct process at your institution.

Since TEQSA’s Academic integrity toolkit was first released in 2020, staff at Australian universities have developed world-leading approaches to systematically detecting contract cheating.

Documents

TEQSA provider survey 2025 research report  (PDF, 1 MB)

2025 provider survey – TEQSA's response  (PDF, 292 KB)

Documents

TEQSA provider survey 2024 research report  (PDF, 1 MB)

2024 provider survey findings – TEQSA's response  (PDF, 292 KB)

Enacting assessment reform in a time of artificial intelligence builds on the principles and propositions outlined in Assessment reform for the age of artificial intelligence.

In June 2024, TEQSA issued a request for information to all Australian higher education providers.

This statement sets out TEQSA’s regulatory expectations of registered higher education providers to ensure they are meeting their obligations under workplace laws (as defined in section 12 of the Fair Work Act 2009) to their staff.

In June 2024, TEQSA issued a request for information to all Australian higher education providers. This request asked for a credible institutional action plan addressing the risk generative artificial intelligence (gen AI) poses to award integrity.

There is no single checklist for determining if a conference is predatory. However, reputable conferences share some common qualities and features.

• Download Predatory conferences: A to Z elements (PDF, 134 KB)

This short document is intended to give institutions and teaching and learning leaders in Australian higher education some ideas about steps that can be taken immediately to address the risks to academic integrity posed by generative artificial intelligence (AI). It is recognised that longer-term planning and action are already occurring. The ideas in this document are intended to provide mitigation strategies while those longer-term plans take shape.