Exploring the role of technology in supporting, not defining, assurance of learning.
This six-episode season of The Thought Bubble explores how higher education can credibly assure learning in an AI-enabled world. Drawing on OES’s Connected Assurance Framework, the series brings together academic leaders, learning designers and policy experts to examine how learning is designed, supported and evidenced over time. Focused on quality, equity and trust, it offers a practical, sector-facing conversation on building defensible evidence of student capability.
Episode 5 examines the role of technology in assurance of learning.
Hosted by Amanda Ford (OES' Associate Director of Gen AI), this episode features Liam Ford and OES learning design and program expert who talks about the role of technology in assessment and the ways we can use AI to support the student experience.
The conversation explores how platforms, data, identity verification and analytics contribute to visibility of learning, while also highlighting the risks of over-reliance on surveillance and control. It emphasises that data and engagement patterns are not proof of learning on their own, but signals that contribute to informed academic judgement when combined with design and relational evidence.
A key theme is the distinction between meaningful evidentiary signals and “integrity optics”, and the importance of proportional, design-led approaches to technology.
The episode reinforces that technology is most effective when it supports curriculum design and academic judgement, rather than attempting to replace them. It also explores risks such as cognitive offloading, and how poor design, not AI itself, is often the underlying issue.
This episode discusses the Connected Assurance Framework, which underpins the entire season. This framework is discussed in OES's positioning paper on Assurance of Learning which can be found here: https://oes.edu.au/assuranceoflearning/
Published by OES (Online Education Services) – www.oes.edu.au
Recorded in Melbourne, Australia.

Episode 4: Learning through relationship – The human element that AI can’t see
36:26

Episode 3: Design as integrity infrastructure – Pedagogical assurance in practice
29:29

Episode 2: Beyond modality debates – Where does assurance really live?
21:38