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Chunking versus Transitional Probabilities: Differentiating between Theories of Statistical Learning
Emerson, Samantha N.; Conway, Christopher M. – Cognitive Science, 2023
There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. The chunking approach, including models such as PARSER and TRACX, proposes that units are extracted as chunks.…
Descriptors: Statistics Education, Learning Processes, Learning Theories, Pattern Recognition
Gremp, Michelle A.; Deocampo, Joanne A.; Walk, Anne M.; Conway, Christopher M. – Journal of Child Language, 2019
This study investigated the role of sequential processing in spoken language outcomes for children who are deaf or hard of hearing (DHH), ages 5;3-11;4, by comparing them to children with typical hearing (TH), ages 6;3-9;7, on sequential learning and memory tasks involving easily nameable and difficult-to-name visual stimuli. Children who are DHH…
Descriptors: Sequential Learning, Visual Learning, Language Skills, Children
Singh, Sonia; Walk, Anne M.; Conway, Christopher M. – Annals of Dyslexia, 2018
Previous research suggests that individuals with developmental dyslexia perform below typical readers on non-linguistic cognitive tasks involving the learning and encoding of statistical-sequential patterns. However, the neural mechanisms underlying such a deficit have not been well examined. The aim of the present study was to investigate the…
Descriptors: Statistics, Dyslexia, Cognitive Processes, Brain Hemisphere Functions