Institutional alignment with TEQSA’s generative AI principles in Australian universities: A national document analysis with implications for ICT education

Authors

DOI:

https://doi.org/10.14742/ajet.11001

Keywords:

AI-based assessments, ICT education, digital competency, GenAI policies, academic integrity, institutional alignment, document analysis

Abstract

Global interest in artificial intelligence- (AI) supported assessment is growing; however, few studies have examined how institutional responses align with regulatory standards, particularly in information and communications technology (ICT) education. This study conducted a national-level document analysis of publicly available resources from 39 Australian universities offering ICT programmes, exploring how institutions are responding to generative AI integration in assessment practices against the Tertiary Education Quality and Standards Agency’s two core principles: preparing students to engage ethically in an AI-driven world and ensuring reliable and trustworthy assessments of student competencies. As ICT-specific documentation was largely absent from the public domain, findings were drawn predominantly from generic university-wide policies, with ICT serving as a case context where discipline-specific guidance is notably lacking. Findings revealed encouraging progress in institutional positioning, with publicly available documents indicating increased policy articulation, referenced training initiatives and stated commitments to AI literacy. However, the analysis also exposed inconsistencies in policy coherence, limited ICT-specific guidance and substantial variation in how GenAI is addressed across institutional documents. The paper recommends stronger integration of AI ethics, clearer communication of permitted AI uses and targeted professional development for ICT staff, contributing to evolving discourse on responsible AI use and equitable, future-ready assessment design.

 

Implications for practice or policy:

  • ICT course leaders should develop discipline-specific GenAI guidance for technical assessments, largely absent across Australian universities.
  • Institutional leaders should invest in operational governance structures, documented in only 7 of 39 universities.
  • Sector bodies should develop discipline-specific extensions to existing GenAI frameworks, as institution-level principles have not produced targeted ICT guidance.
  • Assessors should prioritise process-based and authentic ICT assessment designs, referenced by only 21 universities.

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Author Biographies

Dr Amara Atif, University of Technology, Sydney

Dr Amara Atif is a Lecturer (equivalent to an Assistant Professor in the American system) at the School of Computer Science within the Faculty of Engineering and IT, University of Technology Sydney, Australia. 

Dr Meena Jha, Central Queensland University

Dr. Meena Jha: With a degree in Electronics and Communication Engineering and a Master and Ph.D. in the area of Computer Science, I am a researcher and educator in the field of computer science and IT in the School of Engineering and Technology (SET), at Central Queensland University (CQUniversity) in Sydney, Australia. 

Prof Deborah Richards, Macquarie University

Professor with the School of Computing in the Faculty of Science and Engineering at Macquarie University. She is currently the Industry and External Relations Director for the School and Director of Virtual Reality Lab.

Dr Alessia Cibin, University of Technology, Sydney

Dr Alessia Cibin is Expert in Participatory Design | URBACT, European Union Interreg Program; Night-Time Economy Specialist and Policy Analyst | Stadtnachacht; Member of Planning Institute of Australia (Editor, New Planner) ; Chair | Night Governance Working Group, International Night Studies Network and Member of International Public Policy Association

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Published

2026-07-04

How to Cite

Atif, A., Jha, M., Richards, D., & Cibin, A. (2026). Institutional alignment with TEQSA’s generative AI principles in Australian universities: A national document analysis with implications for ICT education. Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.11001

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Section

Articles