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Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
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Rassaei, Ehsan – Language Learning Journal, 2019
The current study investigates the effects of dynamic and non-dynamic oral corrective feedback in response to learners' errors on English as a foreign language (EFL) learners' English wh-question development over three treatment sessions. Sixty-eight EFL learners were assigned randomly to one of two experimental conditions that received either…
Descriptors: Error Correction, English (Second Language), Sociocultural Patterns, Second Language Learning
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Slevc, L. Robert; Ferreira, Victor S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Natural language contains disfluencies and errors. Do listeners simply discard information that was clearly produced in error, or can erroneous material persist to affect subsequent processing? Two experiments explored this question using a structural priming paradigm. Speakers described dative-eliciting pictures after hearing prime sentences that…
Descriptors: Experimental Psychology, Error Patterns, Priming, Syntax