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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
Lai, Wei; Rácz, Péter; Roberts, Gareth – Cognitive Science, 2020
How do speakers learn the social meaning of different linguistic variants, and what factors influence how likely a particular social-linguistic association is to be learned? It has been argued that the social meaning of more salient variants should be learned faster, and that learners' pre-existing experience of a variant will influence its…
Descriptors: Language Variation, Second Language Learning, Sociolinguistics, Prior Learning
Austerweil, Joseph L.; Griffiths, Thomas L.; Palmer, Stephen E. – Cognitive Science, 2017
How does the visual system recognize images of a novel object after a single observation despite possible variations in the viewpoint of that object relative to the observer? One possibility is comparing the image with a prototype for invariance over a relevant transformation set (e.g., translations and dilations). However, invariance over…
Descriptors: Prior Learning, Inferences, Visual Acuity, Recognition (Psychology)
diSessa, Andrea A. – Cognitive Science, 2014
This work uses microgenetic study of classroom learning to illuminate (1) the role of pre-instructional student knowledge in the construction of normative scientific knowledge, and (2) the learning mechanisms that drive change. Three enactments of an instructional sequence designed to lead to a scientific understanding of thermal equilibration are…
Descriptors: Knowledge Level, Prior Learning, Causal Models, Science Instruction