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Assurance of learning sits at the intersection of quality, equity and public trust in Australian higher education. As artificial intelligence reshapes assessment practices, academic judgement and student engagement, the central challenge facing universities and regulators is no longer simply preventing misconduct but credibly evidencing learning across diverse delivery contexts and student cohorts.
Our positioning paper sets out OES’s perspective on how assurance of learning must evolve in response. Drawing on over a decade of experience partnering with Australian and international universities to design and deliver largescale, credentialled online and digitally enabled programs, OES argues that credible assurance in an AI-enabled environment depends on connected, program-level approaches rather than detection-led and modality-based controls.
Access the OES Assurance of Learning Positioning Paper here.
Review the AI and Assurance of Learning: Research and Resources
As AI reshapes learning and assessment, universities face a critical question: how can you confidently demonstrate that students are genuinely achieving their learning outcomes? OES’s Connected Assurance Framework offers a clear, practical answer. It brings together pedagogical, relational and technical approaches to help institutions build credible, defensible assurance across programmes, not just isolated assessments.
Explore how a more connected approach can strengthen quality, support equity, and give educators greater confidence in every student outcome.