Liftology 12: The role of reconceptualization
When we’re learning, an initial model gives us an explanation of how the world works. We use that explanation to guide our decisions in many complex situations. However, there are limitations to a single model. So, multiple models can make sense? Which? When? Let’s explore reconceptualization, looking at expanding model use over the course of learning.
The first model we provide is not only useful, but necessary, because it gives a basis for initial choices. That is, it explains how this particular part of the world works, and we can use it to determine how to act. The model gives us a basis to make decisions like “do this first, then that”. However, that model can begin to fall apart as we get more complex. For instance, the first knot we may learn, to tie our shoes, begins to lead us to more, which have different properties and associated different uses.
What we begin to do is elaborate the model. Which can be a richer model. You even see this in decks where they start with an initial model then expand it (I do so in my mini-scenario workshop, for instance). As people get familiar with the simple version, they’re ready to see a more expanded one, that accounts for more situations. So, for instance, the concept of desirable difficulty in practice becomes more nuanced with issues of challenge, spacing, feedback fading, context diversity, and more.
Another useful approach is to show models with different cuts through the explanation. Here, for instance, we can talk about learning at the neural level of strengthening patterns of activation, or at the cognitive level of associated concepts like wild and domesticated to elaborate on good versus bad pets.
The point is that when and how we introduce these models is based upon the learner’s progression, and what will help at any particular time. What is important is that those models are introduced, over time, to gradually develop understanding. Which is what learning journeys are all about. We may do it via events, or LIFTs, but we need to make sure we’re introducing, and strengthening models over time.