Adult Ed x Community of Inquiry x System Dynamics

This is a working note—ideas are still forming.

Most conversations about digital learning in adult education focus on access, tools, or modality—online, hybrid, blended. Those things matter. But they don’t fully explain what actually happens in practice.

In adult education, digital learning isn’t just a format. It’s a system shaped by constraints—time, technology, competing responsibilities, and uneven participation. These aren’t edge cases. They are the conditions the system operates within.

That’s where the Community of Inquiry (CoI) framework becomes more useful—if we shift how we think about it.

CoI is typically presented as three components: teaching presence, social presence, and cognitive presence (Garrison et al. 2000). In theory, they’re distinct yet interconnected. In practice—especially in adult education—they’re tightly interdependent.

They move together

When learners can’t attend synchronously, teaching presence shifts into how well a course is structured asynchronously.

When participation is inconsistent, social presence isn’t just discussion—it’s how learners experience continuity across interruptions.

And cognitive presence—the actual process of meaning-making—emerges from how those other two hold up under pressure.

In other words, these presences don’t just exist in a course.

They respond to conditions.

A systems view

From a systems perspective, what we’re really looking at is a set of interacting forces:

• Teaching presence shapes structure, clarity, and expectations
• Social presence stabilizes participation and connection
• Cognitive presence emerges from the interaction of both

But none of these operate in isolation. They are constantly adjusting based on real-world constraints.

• Sometimes strong instructional design compensates for limited interaction.
• Sometimes peer connection sustains engagement when instruction is uneven.
• Sometimes everything degrades at once—not because the model failed, but because the system is under strain.

This is why digital learning in adult education can feel inconsistent, even unpredictable.

We’re not implementing a static model. We’re working within a dynamic system.

And that’s also why adult education matters.

Because it operates under constraint, it reveals how learning systems actually behave—not under ideal conditions, but under real ones. It forces us to design for variability, not control. For resilience, not perfection.

A different question

If we start to see digital learning this way, the question shifts.

Not:

Did we implement the model correctly?

But:

How is the system functioning under the conditions learners actually experience?

That’s a different kind of design problem.
And a more honest one.

In progress,
-Jerry