SAGE is an empirically formed assessment-design framework grounded in visible student judgement — this page presents the empirical basis, sector alignment, publications and public commentary supporting the program.
SAGE was not designed from theory alone — it was shaped iteratively through classroom redesign, student data collection, cross-campus evaluation, and reflective refinement across three countries and multiple cohorts.
Three SAGE-affiliated resources are listed on TEQSA's GenAI Knowledge Hub — the primary national repository for higher education good practice in generative AI. TEQSA is Australia's national higher education regulator and quality assurance authority.
Coverage and commentary spanning higher education trade press, university news, specialist media, and professional channels.
Explains why the internet has no single off switch, how shared dependencies can disrupt services, and why outages are more plausible than a complete global blackout. The article was republished by three outlets in the reporting period.
Reach figures are reproduced from the media monitoring report for 23–30 October 2026.
A warning that AI-generated research summaries can omit or misattribute authors, references and findings, and must be checked against original sources.
Reach figure is reproduced from the media monitoring report for 23–30 October 2026.
Examines how AI is reshaping tasks and career paths, and why AI literacy, human judgement and continuous learning matter. The feature also presents SAGE as a way to support responsible AI use and accountability.
Why higher education must move from blanket policy statements to structured, practical guidance that helps students use AI responsibly and with critical judgement.
Adapted for the HERDSA community — a practical framework for embedding structured AI guidance within assessment design in higher education.
Commentary arguing that reverting to high-surveillance, low-authenticity assessment is an impoverished response to AI — and why pedagogy must keep pace with the tools students use.
CQUniversity news feature on the SAGE framework's approach to making AI a visible part of assessment rather than a prohibited tool students work around.
How CQUniversity's SAGE-based approach is equipping graduates to work alongside AI effectively, responsibly, and with the critical capacity to verify and own their outputs.
Opinion piece reframing the AI-in-education debate — from treating AI as an integrity threat to embedding it as a critical thinking scaffold within assessment design.
Research feature on AI integration in smart city systems, exploring autonomous decision-making and the role of human oversight — themes central to SAGE's pedagogical positioning.
Regional coverage of CQUniversity's SAGE-led approach to AI-integrated assessment design and what it means for graduate readiness in the region.
Science media coverage of the SAGE framework applied to cybersecurity education, highlighting how responsible AI integration can deepen disciplinary critical thinking.
Professional commentary on managing research integrity and preprint strategy in an era where generative AI complicates authorship, originality, and dissemination norms.
Interview on how educators can support students in using AI tools responsibly, including SAGE's approach to scaffolded assessment and visible AI engagement.
Discussion on how AI is reshaping workplace expectations and how structured approaches like SAGE help prepare students for AI-integrated professional environments.
Interview following the Future Campus article — making the case that returning to high-surveillance assessment undermines authentic learning in an AI-integrated world.
The primary peer-reviewed papers and preprints forming the direct research base for the SAGE framework, spanning cybersecurity education, systems analysis and design, assessment policy, first-year ICT, and AI use behaviour.
Broader related work spanning GenAI in education, AI literacy, assessment reform, digital divide, curriculum design, and interdisciplinary applications — situating SAGE within a wider research programme.