Attempt before instruction
Try to solve a new type of problem with your current knowledge before any formal teaching.
Why it works
Attempting a problem activates relevant prior knowledge and surfaces its limitations — the learner discovers exactly what is missing, which creates specific, felt gaps. When subsequent instruction addresses these gaps, it lands on prepared cognitive ground: the learner knows what the instruction is for and why it is needed. Instruction-first learners receive the same information but without the prior activation that makes it stick.
How to do it
- When facing a new concept or problem type, attempt at least two different solution strategies before looking anything up.
- Document your attempts in writing — what you tried, what it got you, where it broke down.
- Only after genuine effort (at least 10 minutes), proceed to the instruction or worked example.
- As you read the instruction, actively match each element to one of your prior attempts.
Evidence
Kapur (2014) ran randomized experiments showing that students who solved problems before instruction demonstrated better conceptual understanding and transfer than instruction-first students, despite equivalent or lower procedural accuracy. (rct)
Most controlled studies are in mathematics education; transfer to other skill domains is theoretically grounded but less directly tested. The benefit applies specifically to conceptual understanding — procedural accuracy may not exceed instruction-first approaches.
Sources
- Kapur (2014), "Productive failure in learning math," Cognitive Science
- Kapur & Bielaczyc (2012), "Designing for productive failure," Journal of the Learning Sciences
Common mistake
Giving up after the first failed attempt and going straight to the answer, which prevents the full activation of prior knowledge and the felt gap that makes subsequent instruction effective.
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More practices for Productive Failure: How Struggling First Makes Instruction More Effective
- Solution-space exploration
Generate multiple different approaches to a problem before converging on one.
- Canonical contrast after failure
After your attempts, examine the expert solution specifically for what your approaches were missing.
- Failure tolerance building
Normalize getting stuck — use stuck-ness as a diagnostic signal rather than a stop sign.
- Just-in-time instruction
Time the instruction to arrive immediately after the failure — not days later and not instead of failure.
- Treating errors as data points
After any failure, immediately extract the specific information the error revealed about the problem.
- Delay scaffolding until needed
Resist providing hints, worked examples, or structure until the learner has genuinely engaged with the challenge.
Related concepts
- Self-Regulated Learning: Taking Control of How You Learn
Goal-setting, strategy, monitoring, and reflection — the four-phase loop that drives real learning
- Deliberate Practice, Not Just Practice
Focused, feedback-driven practice at the edge of your ability
- Growth Mindset: The Honest Version
The fixed-vs-growth idea, the real mechanisms, and where the evidence is weak
- The Fluency Illusion: Why Easy Reading Fools You Into Thinking You’ve Learned
The cognitive bias that wastes study time and how to break its grip