Week 2 of 6 — Behavioural learning theories in action

Following on from Week one's focus on the many paths into learning design, this week was all about behavioural learning theories and how they shape what we design for students.

The core insight

At its heart, behaviourism says: what we can observe and measure is what matters. Forget what's happening inside the learner's head — focus on the stimulus, the response, and how we reinforce the right behaviours.

This comes from heavy hitters like Pavlov (classical conditioning — yes, the dog-and-bell one), Thorndike (learning through trial and error), and Skinner (operant conditioning — reinforcing the behaviours you want to see more of).

In practice, this translates into:

• Clear, measurable learning objectives — you can't reinforce what you can't see
• Task analysis — breaking complex skills into their smallest observable components
• Feedback and reinforcement loops — immediate, specific, and tied to the desired behaviour
• Prerequisite mapping — understanding what a learner needs to be able to do before they can do the next thing

Why it still matters

Behavioural theory can feel outdated — we know learning is far more complex than stimulus → response. But its legacy is everywhere in course design:

• SMART learning objectives — specific, measurable, achievable, relevant, time-bound
• Formative assessment — quick checks that let learners (and us) know they're on track
• Rubrics and competency frameworks — explicit criteria for what "good" looks like

One example that stuck with me was Dave Peel's (2005) take on task analysis. To illustrate how granular it can get, he used the example of teaching someone to make a building out of three sticks — a pig's nose, essentially — and how even that simple task has multiple prerequisite steps. It's a funny example, but it makes the point: if you don't understand the full chain of required behaviours, you'll design a gap into your learning experience.

My reflection

The thing I appreciate most about behaviourism is its commitment to accountability. If a learner can't demonstrate the objective at the end, something in the design failed — not the learner. That's a useful disposition for a learning designer to carry.

Where it falls short is in anything that can't be easily observed: attitudes, values, creativity, collaboration. For those, you need a richer theory. But as a foundation — especially in technical training or compliance contexts — behaviourism remains a solid tool.

Next week: cognitive load theory, and why my infographic looked like a TEMU ad.