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Generative Processing Strengthens Learning Across Errorful and Non-Errorful Contexts
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AI
DOI：10.1080/00220973.2026.2636103.png)
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Abstract
En 中文
Errorful generation-making (often) incorrect guesses about unfamiliar information-can enhance learning if accompanied by corrective feedback. Four experiments investigated how feedback processing influences the retention of obscure word definitions. Participants processed feedback via non-generative (reading, copying), elaborative (studying examples or mnemonics), or generative (rephrasing, example generation) methods. In Experiments 1, 2, and 4, rephrasing feedback consistently yielded better learning than reading or copying. In Experiment 3, rephrasing and example generation outperformed keyword mnemonics. Experiment 4 revealed that rephrasing improved learning even without errorful generation. Evidence for studying provided examples was mixed. Overall, these findings demonstrate that generative processing facilitates learning, and for errorful generation, the impact of feedback is determined not just by its presence, but how it is engaged with.
Keywords:
Corrective feedback
errorful generation
feedback processing
generative learning
learning from errors
pretesting
Journal
J
IF:
1.7
Papers:
110
Citations:
2.8K