Debates about quality in higher education often start with a familiar question: is online learning riskier than on-campus delivery?
We believe there’s a need to shift the conversation away from delivery mode and towards something more fundamental – how learning is designed, supported and evidenced across a program.
Why modality is the wrong starting point
Across online, hybrid and on-campus programs, assessment patterns, learning activities and student behaviours are increasingly similar. Yet risk narratives remain anchored to physical presence.
Episode 2 of OES’s The Thought Bubble podcast challenges the idea that risk is tied to where learning happens.
The episode reframes modality not as a location, but as a designed environment. The real question is not whether learning is online or on campus, but whether it is structured in a way that makes capability visible over time.
From delivery mode to program-level design
The episode features a conversation between Dr Aaron Wijeratne and Dr Karen Harvey, who bring complementary perspectives from program architecture and student experience.
Aaron approaches modality as a design problem. He outlines how strong asynchronous learning environments are built through structured weekly touchpoints, including guided tasks, discussions and applied activities. These are not just engagement features; they create a continuous stream of evidence about how students are progressing.
Karen grounds this in student reality. For career changers and working adults, modality is not an abstract concept. It is about whether learning fits into the constraints of everyday life without lowering expectations.
In this context, flexibility increases the need for strong assurance, not less. Students need to be able to demonstrate what they know consistently, in ways that are meaningful and achievable within their circumstances.
Making learning visible through structure and progression
A central theme in the episode is the shift from fragmented, unit-level thinking to program-level coherence.
When learning is designed as a connected journey, institutions can generate multiple points of evidence across time, rather than relying on isolated assessments. Structured progression, aligned outcomes and repeated demonstration of capability all contribute to a more credible and defensible picture of learning.
The discussion also highlights the role of data and intervention. Patterns of engagement and progression allow educators to identify when students need support and respond early, creating a system where learning is actively monitored, supported and evidenced.
Authentic assessment in an AI-enabled world
The episode, hosted by the series’ narrator, Amanda Ford, explores how authentic assessment strengthens assurance of learning.
Tasks grounded in real-world judgement, application and decision-making provide richer and more defensible evidence than abstract or performative assessments. They allow students to demonstrate how they think, not just what they produce.
In an AI-enabled environment, this becomes even more important. When assessment requires contextual judgement and personal insight, learning becomes more visible and harder to outsource.
Reframing assurance beyond modality
Episode 2 ultimately reframes assurance of learning as a design and governance challenge, not a modality problem.
Treating delivery mode as a proxy for risk can lead to blunt, inequitable responses that fail to address the underlying issue. Instead, the episode invites institutions to ask a more precise question: is this program intentionally designed to generate credible, connected evidence of learning over time?
It sets up the next stage of the series, turning to curriculum itself and what it means to treat design as the foundation for integrity.
Continue the journey with Episode 2 of The Thought Bubble podcast
If you are working on program design, academic governance, AI policy or quality assurance, Episode 2 offers a practical lens for moving beyond modality debates and focusing on where assurance actually lives.
