Generate your own examples or explanations before studying provided ones
Before seeing a worked example or explanation, try to construct your own version — the effort and the mismatch strengthen learning.
Why it works
The generation effect (Slamecka & Graf, 1978) shows that self-generated material is better retained than received material, independent of the error dimension. Combining generation with the errorful learning effect — generating your own example, then comparing it to a better one — produces encoding from multiple sources: generation effort, prediction error, and contrast-based learning. The comparison step is where the structural principles become salient.
How to do it
- Before reading a provided example or explanation, write your best attempt at one.
- Mark the points where you are uncertain.
- Read the provided example and identify every place where yours differed.
- For each difference, explain in one sentence why the provided version is better — that explanation is the core learning.
Evidence
The generation effect is one of the more established effects in memory research. Slamecka & Graf (1978) and many subsequent studies show generation advantage for retention. The extension to examples rather than single words is extrapolated from that literature and consistent with productive failure research (Kapur, 2016). Bertsch et al. (2007) meta-analyzed 86 comparisons and confirmed a robust overall generation advantage while identifying the boundary conditions (e.g., accuracy of generation, retention interval) that modulate its size. (observational)
Generation benefits require that the learner has enough prior knowledge to generate something; for complete novices, generation attempts may produce random responses that don’t engage the mechanism effectively.
Sources
- Slamecka & Graf (1978), The generation effect: Delineation of a phenomenon, Journal of Experimental Psychology: Human Learning and Memory
- Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology: Human Learning and Memory, 4(6), 592-604.
- Bertsch, S., Pesta, B. J., Wiscott, R., & McDaniel, M. A. (2007). The generation effect: A meta-analytic review. Memory & Cognition, 35(2), 201-210.
- Kapur, M. (2016). Examining productive failure, productive success, unproductive failure, and unproductive success in learning. Educational Psychologist, 51(2), 289-299.
- Kapur, M. (2008). Productive failure. Cognition and Instruction, 26(3), 379-424.
Common mistake
Skipping the generation step and reading the example directly when under time pressure, sacrificing the primary encoding mechanism to save a few minutes.
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More practices for Errorful Learning: Why Making Mistakes Strengthens Memory
- Always generate a guess before receiving the correct answer
Before looking up any fact or asking for a solution, produce your best guess — even if you’re confident it’s wrong.
- Prioritize items you were confidently wrong about
Items you felt sure about but got wrong are retained especially well after correction — target these deliberately.
- Receive corrective feedback promptly after a test attempt
For error-based learning to work, feedback must follow the error — delay weakens the effect and risks embedding the wrong answer.
- Reframe difficulty and errors as the mechanism, not the obstacle
Train yourself to interpret struggle and mistakes as evidence that productive encoding is happening — not evidence of failure.
- Know when errorless learning is the right call instead
Errorful learning is most powerful for healthy adults learning semantic material; for some clinical and motor populations, errorless approaches are better supported.
Related concepts
- The Testing Effect: Why Retrieval Practice Beats Restudying
Retrieval practice, elaborative interrogation, and why the act of remembering makes memories stronger
- Active Recall: The Most Effective Way to Study
The testing effect, retrieval practice, and how to build active recall into every session
- The Worked Examples Effect: Learn Faster by Studying Solutions First
How to use solved examples, self-explanation, and fading to build skill faster than problem-first practice