• A guide for creating academic integrity resources for international students in Australian higher education

    Research shows that international students, particularly those whose first language is not English, need additional support when studying in Australia to learn and apply academic integrity rules and avoid academic misconduct. This brief guide contains tips and suggestions for creating academic integrity resources and awareness campaigns for international students. The guide also offers practical strategies and templates for developing effective academic integrity resources and awareness campaigns targeted at this group.

    Key considerations for international student academic integrity campaigns

    1. Use clear, simple English and provide translated versions in written formats.
    2. Intervene early and repeatedly, make sure that messaging is delivered pre-enrolment, at enrolment, and subsequently.
    3. Use multiple channels to meet students where they are, including orientation sessions, student accommodation, websites used by students, social media, on-campus locations such as international student offices/spaces, libraries, and other common areas.
    4. Highlight available support to create engagement and assuage anxiety, normalise help-seeking.
    5. Create a bespoke international student academic integrity information website for your institution.
    6. Direct students to your international student academic integrity information website via a flyer/poster and/or online campaign.
    7. Offer workshops and drop-in sessions on academic integrity for international students.

    Example poster/flyer/website campaign

    Use on-campus and/or online posters or flyers to catch students’ attention and direct them to bespoke international student academic integrity resources on your institution’s website. An annotated example is provided later in this guide.

    Tips for posters

    1. Use an attention-grabbing tagline/headline (see examples later) in a large bold font.
    2. Translate the attention-grabbing headline into the most common languages spoken by students at your institution, making multiple versions if needed.
    3. If using automatic translation tools, check the translation is correct by translating back to English, checking with a native speaker (staff or students), or checking with a language expert at your institution if your institution teaches languages other than English. Revise as necessary.
    4. Link to further information on your institution’s website. For online campaigns use obvious clickable links or buttons, for paper-based posters or use a QR code for your link.

    Example attention-grabbing

    • Learn what cheating means in Australia
    • In Australia, rules about cheating are strict, learn more
    • Don’t get in trouble for cheating, learn the Australian rules
    • Don’t get in trouble for cheating, learn the [INSERT INSTITUTION NAME] rules
    • Learn what Australians mean by 'Academic Integrity'
    • Know the rules: study smarter, not harder
    • Avoid risky shortcuts: ask before you act
    • Your success, your integrity: learn the rules today
    • In Australia, “helping a friend” can sometimes be cheating, know the difference

    Suggested content for international student academic integrity website

    Generally speaking, most browsers will now translate website for users to their preferred languages. Because of this, unlike posters/flyers, it should not be necessary to translate an international-student academic-integrity webpage. However, it is worth checking the accuracy of any automatic translation with a bilingual staff member or student.

    Section Content for students 
    Homepage Introduction (video welcome message from staff/student). Consider an interactive 'Start Here' button
    What is academic integrity? Provide definitions and examples, e.g. from your institution’s policy
    Types of academic misconduct Provide a list of forms of academic misconduct with examples
    Tips on good academic practice Examples and information about referencing, citation and paraphrasing
    Penalties warning Inform students about academic misconduct processes and penalties
    Specific contract cheating warnings Alert students to the problem that some cheating providers claim to be 'study help' sites, and may engage in criminal behaviours such as blackmailing students who use their services
    Specific gen AI information Provide information on or links to your institution’s policy on the acceptable use of gen AI in assessment
    Case studies Brief anonymized real cases of academic misconduct at your institution
    Help and resources Links to academic support, international student supports, and library or other supports for referencing
    Quiz and self-check tools Repeatable online quizzes on academic integrity rules for formative feedback or directions to institution-wide academic integrity modules

     

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  • Adapting assessment in the age of generative AI: The assessment adaptation model

    Banner with the text: Academic integrity toolkit: Case study

    Authors: Professor Ruth Greenaway, Dr Zachery Quince, Dr Joanne Munn, Southern Cross University

    Focus area: Assessment design

    Generative artificial intelligence (gen AI) enables students to generate sophisticated academic outputs with minimal effort, challenging traditional assessment methods and raising concerns about academic integrity. Southern Cross University (SCU) has responded to this challenge by developing the Assessment Adaptation Model – Gen AI (AAM-Gen AI), a comprehensive, pedagogically grounded model designed to help educators adapt assessments to be resilient and meaningful in the gen AI era.

    Gen AI tools have made traditional assessment vulnerable to misuse, necessitating systemic changes that move beyond reactive policies and detection-based approaches, advocating for proactive, authentic assessment designs that foster deep learning, critical thinking and ethical reasoning.

    Authentic assessments, mirroring real-world complexities that require personal engagement, are less susceptible to gen AI misuse and promote transferable graduate skills. SCU’s AAM-Gen AI model arises from this context, aiming to align assessment design with both academic integrity and the evolving digital landscape.

    The AAM-Gen AI model consists of seven interrelated components spanning the assessment lifecycle. It promotes a holistic, proactive approach that integrates gen AI considerations into every stage of assessment, encouraging transparent, ethical and capability-building practices rather than punitive measures.

    • Design: 
      Craft assessment tasks that emphasise higher-order thinking, contextual relevance and personal engagement reducing gen AI misuse and enhance learning.
    • Analyse: 
      Critically evaluate assessments using a security risk matrix to identify and mitigate vulnerabilities to gen AI exploitation.
    • Act: 
      Implement strategic changes like multi-stage tasks using security rating scales to strengthen assessment integrity.
    • Inform: 
      Clearly communicate gen AI usage policies to students to support fairness and ethical learning.
    • Educate: 
      Develop students’ AI literacy and critical thinking to foster ethical and informed engagement with gen AI tools.
    • Check: 
      Verify authenticity through nuanced, evidence-based approaches while promoting a culture of trust and accountability.
    • Evaluate: 
      Continuously review and refine assessment practices to ensure alignment with learning goals and responsiveness to gen AI developments.

    Key lessons or points for implementation

    • Spend time considering current assessment and proactively redesign with gen AI in mind.
    • A security risk matrix is a conversation starting point to reconsider assessment design, it is not a definitive measure of assessment security.

    Assessment Adaptation Model-Gen AI (AAM-Gen AI)

    Image of components spanning the assessment lifecycle


     

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  • Revised Academic Integrity Toolkit now available

    TEQSA’s Academic Integrity Toolkit has been revised, offering new sections on assessment design and security, and risks to academic integrity from generative artificial intelligence (gen AI), as well as updated resources on policy and benchmarking and contract cheating.

    The updated toolkit responds to new and emerging risks to academic integrity, including the emergence of gen AI and changed marketing and promotional strategies used by commercial academic cheating services. It seeks to support providers to promote academic integrity and manage the risks of academic misconduct at their institution.

    The revised toolkit incorporates numerous updated and new resources, and will be released in two stages:

    Stage 1 – now available

    Includes an updated structure, with two new sections (Assessment design and security and Risks to academic integrity from gen AI) and a short video overview for each section.

    Stage 2 – available soon

    Includes an updated Good Practice Note, along with guides related to substantiating contract cheating, promoting academic integrity and international students and perspectives of academic integrity.

    The staged release will allow you to access the case studies and view the new structure sooner, while we work to prepare the guides and updated Good Practice Note for publication.

    The project team which delivered the toolkit’s update was led by Associate Professor Guy Curtis (University of Western Australia). Thank you to the project team for their work.

    Visit the toolkit on our website: teqsa.gov.au/toolkit

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    Academic Integrity Toolkit
  • Academic integrity toolkit

    Banner with the text: Academic integrity toolkit

    Introduction

    In 2020, TEQSA launched the first edition of our Academic Integrity Toolkit to share research and assist integrity professionals to promote academic integrity and address commercial academic cheating at their institution.

    Academic integrity is integral to preserving the reputation of Australia’s higher education sector and protecting student interests.

    TEQSA’s updated Academic Integrity Toolkit responds to new and emerging risks posed to academic integrity. In recent years, readily available and rapidly developing generative artificial intelligence (gen AI) tools have emerged. TEQSA has also observed changes in the promotion and marketing approaches used by commercial academic cheating services. The revised edition builds on the existing toolkit’s sections on policy and benchmarking and contract cheating. It offers new resources on assessment design and security, and risks to academic integrity from gen AI.

    This initiative was funded by the Australian Government and the toolkit can be accessed free of charge.

    The resources and case studies in this toolkit represent approaches and ideas which institutions have found useful in addressing academic integrity. They are not intended as guidance from TEQSA but are instead shared to encourage institutions to consider different approaches which may be useful in supporting academic integrity at their institution.

    Introductory video

    Sections

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  • Consultation seeks focused feedback from sector

    TEQSA is seeking feedback on updates to the Regulatory Risk Framework (RRF).

    This consultation is to test sector understanding of the RRF as one of the key inputs informing our regulatory responses and decision making in relation to matters of higher education quality and provider-level risk.

    TEQSA has developed a set of consultation questions to support focused feedback on the draft RRF. Respondents may choose to comment on any of the questions that are relevant to them and are also welcome to provide additional feedback.

    Consultation closes on Thursday 30 April 2026 and submissions can be made by providing written responses to RegulatoryStrategy@teqsa.gov.au.

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    Regulatory Risk Framework tile
  • Risks to academic integrity from AI

    Banner with the text: Academic integrity toolkit: Risks to academic integrity from AI

    This section of the toolkit explores the detection of plagiarism in generative artificial intelligence (gen AI) derived text, approaches to assessment design in the age of gen AI, and ethical and effective approaches to integrate gen AI into the curriculum.

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  • Annual information collection

    Why TEQSA collects data

    TEQSA collects data on all higher education providers to help inform our risk-based approach to regulation. We use this information to minimise the reporting burden on providers associated with regulatory processes, such as a renewal of registration.

    Data collection sources

    We collect data on higher education providers’ operations from a variety of sources, including:

    HELP IT System (HITS)

    All providers are required to report their financial data on an annual basis to the Department of Education. With the exception of universities, all providers report data through the Department’s HELP IT System (HITS). For all HITS related enquiries, please email FEE-HELP@education.gov.au

    See the Department’s HELP Resources for Providers page for more information about HITS, including a user guide.

    For universities, audited financial statements and an Annual Financial Return completed in the spreadsheet provided by the Department of Education, should be submitted to the Department of Education at ppfinance@education.gov.au

    Tertiary Collection of Student Information (TCSI)

    All providers are required to report their student and staff data on an annual basis through TCSI. TCSI is operated by the Department of Education.

    See the TCSI website for information about TCSI, including TCSI FAQs and a range of support materials and information webinars.

    Quality Indications for Learning and Teaching (QILT)

    Data updated annually from QILT’s Student Experience Survey (SES) and Graduate Outcomes Survey (GOS).

    See the QILT website for more information.

    For the 2025 data year, TEQSA will directly collect the data about the Graduate Outcomes Survey results from providers who do not use QILT.

    Provider Information Request (PIR)

    Providers who are not approved FEE-HELP providers report staff and student annually to TEQSA through TCSI. This is called the Provider Information Request (PIR).

    The PIR is an information request under Section 28 of the Tertiary Education Quality and Standards Agency Act 2011 (TEQSA Act).

    Provider responsibilities

    Providers should ensure their data is provided within required timeframes, is accurate and has been verified.
     

    A condition of registration is that registered providers must give TEQSA an annual financial statement in the approved form, within 6 months after the end of the annual reporting period (Section 27 of TEQSA Act).
     

    Failure to submit financial information within required timeframes is a breach of a condition of registration for which TEQSA may apply sanctions such as shortening the period of registration, cancelling registration (Section 98 of the TEQSA Act).
     

    Providers should also ensure their contact details with TEQSA remain up to date.

    Schedule

    The deadline for submission dates for each data file is as follows:

    Data file Provider type Deadline for submission
    Finance ALL providers with a financial year ending 31 December 2025, i.e. 2025 data) Submit by 30 June 2026
    ALL providers with a financial year ending 30 June 2025, i.e. 2025 data) Submit by 31 December 2025
    ALL providers with a financial year ending 30 June 2026, i.e. 2026 data) Submit by 31 December 2026
    Students FEE-HELP providers (HESA) Verify the submitted data by 17 April 2026
    Non-FEE-HELP providers (PIR providers) Submit and verify data by 28 August 2026
    Staff FEE-HELP providers (HESA) Submit and verify data by 26 June 2026
    Non-FEE-HELP providers (PIR providers) Submit and verify data by 26 June 2026

     

    Help and support

    Scope and structure documents, element specifications and a range of support materials, including introductory training and frequently asked questions, are available on the TCSI website.

    We encourage you to review the reporting requirement from TCSI website to ensure that submitted data is consistent with the required specifications. Please also read through the Data Verification website for comprehensive information and instructions that will assist you complete the student and staff verification process.

    The TCSI Data Collections Team are the primary point of contact for the submission of data. Email: TCSIsupport@education.gov.au.

    TEQSA’s Enquiries Management Team is also available to respond to administrative enquiries throughout the submission period. Email: providerenquiries@teqsa.gov.au.

    If your institution has only recently registered as a higher education provider, we understand you may not be in a position to supply all of the required information. If this is case, please contact TEQSA’s Risk Team at risk@teqsa.gov.au.

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  • Assessment design and security

    Banner with the text:Academic integrity toolkit: Assessment design and security

    This section of the toolkit explores assessment security and the risks associated with different forms of assessment. The section includes frameworks for academic integrity and assessment security, and showcases different ways of securing assessment to provide assurance that they are completed with integrity.

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  • Commercial academic cheating

    Banner with the text: Academic integrity toolkit: Commercial academic cheating

    This section of the toolkit offers a range of different resources, including guidance on substantiating and detecting contract cheating, strategies to improve assessment design and deter file sharing, and practical ways to apply quality assurance principles and build strong frameworks to protect academic integrity.

    Video

    TEQSA Masterclass: Contract cheating detection and deterrence

    This short course and accompanying situational judgment test (SJT) will build your baseline knowledge about academic integrity issues and techniques and practices for deterring and detecting contract cheating.

    Resources
    Case studies
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