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Frameworks, models, and instructional design thinking for educators working at the intersection of learning science, classroom practice, and the age of AI.

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Making Judgment Visible: A Model for Designing Observable Thinking

Desk with vintage camera, sketches of buildings and inventions, drawing tools, and a cup of coffee

In a previous piece, I explored a shift that has become increasingly difficult to ignore: the work students produce no longer reliably reveals the thinking behind it.

That post focused on the why.

This one focuses on the how.

If we accept that thinking is no longer safely inferred from the final product, then the question becomes practical. How do we design learning experiences where judgment is actually visible? Where decisions, tradeoffs, and reasoning are not hidden beneath a polished artifact, but are part of what the work itself reveals?

The model below is one way of answering that question.

A Model for Visible Judgment

This model organizes twelve design moves into four categories. Each category represents a different way that thinking can be made observable within a task.

Rather than asking only what a learner produces, the model asks what kinds of thinking we are creating opportunities to see.

Decision Exposure focuses on making choices visible. These moves surface what was selected, what was rejected, and how decisions were justified. Judgment appears at the moment of decision, when multiple possibilities are still in play.

Comparative Judgment shifts evaluation into relation. Instead of assessing a single response in isolation, learners are asked to compare alternatives, contrast approaches, and identify meaningful differences. Thinking becomes visible through distinction.

Process Visibility attends to how thinking unfolds over time. These moves capture sequencing, iteration, and influence, allowing us to observe how ideas are formed, refined, and sometimes reconsidered.

Reflection and Adaptation focuses on change. These moves surface how thinking evolves, how constraints are navigated, and how learners take ownership of their reasoning. Learning becomes visible not as a fixed state, but as an ongoing adjustment.

Taken together, these four categories describe different dimensions of judgment. Any one of them can make thinking more visible. In combination, they offer a more complete picture of how someone is reasoning.

Why This Model Matters Now

This model builds on a long tradition of research emphasizing that meaningful assessment depends on access to thinking, not just outcomes. Work on formative assessment has shown the importance of eliciting evidence of reasoning during learning rather than inferring it afterward (Black & Wiliam, 1998). Research on metacognition and self-regulated learning has similarly emphasized that the ability to articulate and evaluate one’s thinking is central to expertise (Zimmerman, 2002; Dunlosky & Metcalfe, 2009).

What has changed is the context.

Recent conversations around AI in education have made it increasingly clear that the final product can no longer be assumed to reflect the learner’s reasoning. Generative tools are capable of producing coherent, structured outputs that may obscure the underlying decision-making process. As a result, educators are being pushed to reconsider what counts as evidence of learning, and how that evidence is gathered (Mollick, 2023; Bowen & Watson, 2024; UNESCO, 2023).

This model responds to that shift by focusing on design. If thinking is not reliably visible in the product, then it must be made visible through the structure of the task itself.

From Model to Practice

This is not a checklist to be implemented all at once, nor is it a call to document every step of a learner’s process. In practice, even a single design move can significantly increase the visibility of thinking.

A decision checkpoint can reveal priorities.
A comparison task can expose criteria.
A process capture can make iteration visible.
A reflection can show how thinking has changed.

The goal is not to produce more work, but to produce more visible judgment.

When that happens, the work begins to tell a different story. Not just what was produced, but how it came to be.

Download the Model & Task Planner

A model can name what matters.
But it doesn’t, on its own, change what we design.

So I built two companion pieces to make this usable beyond a single graphic.

The first is a one-page overview of the framework itself—something you can reference, share, or use to ground conversations about what it means to make judgment visible.

The second is a Task Redesign Planner. It takes the same ideas and turns them into a simple, structured process:
to examine what a task actually reveals, identify what remains invisible, and redesign it so decision-making becomes observable.

One helps you see it.
The other helps you do something about it.

You can download both here:

This version is designed as a working tool. It can be used while planning assignments, revising existing tasks, or facilitating conversations about what actually counts as evidence of learning.

Looking for the Bigger Idea?

If you’re interested in the underlying shift behind this model, you can read more here:

What does it actually mean to make judgment visible?

A Final Note

Models do not solve problems on their own. They clarify where the problem actually is.

In this case, the problem is not that students are thinking less. It is that we have fewer reliable ways of seeing that thinking in the work they produce.

The response is not to double down on the product.

It is to design for what the product can no longer show.

The product is no longer the evidence. The judgment is.

And judgment becomes visible when we decide to make it part of the work.

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