Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Learning Processes | 2 |
Models | 2 |
Pattern Recognition | 2 |
Sequential Learning | 2 |
Adult Education | 1 |
Auditory Stimuli | 1 |
Child Development | 1 |
Cognitive Processes | 1 |
Data Analysis | 1 |
Infants | 1 |
Learning Theories | 1 |
More ▼ |
Author
Addyman, Caspar | 1 |
Conway, Christopher M. | 1 |
Emerson, Samantha N. | 1 |
French, Robert M. | 1 |
Mareschal, Denis | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Adult Education | 1 |
Early Childhood Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
French, Robert M.; Addyman, Caspar; Mareschal, Denis – Psychological Review, 2011
Individuals of all ages extract structure from the sequences of patterns they encounter in their environment, an ability that is at the very heart of cognition. Exactly what underlies this ability has been the subject of much debate over the years. A novel mechanism, implicit chunk recognition (ICR), is proposed for sequence segmentation and chunk…
Descriptors: Infants, Probability, Learning Processes, Pattern Recognition