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Expanding the emergentist Account:Reply to open peer commentaries
Catherine L Caldwell-Harris1, Brian MacWhinney1
1Carnegie Mellon University.
Emergentism explains language learning variability through cognitive and social factors. Richer longitudinal data is needed to fully understand these complex interactions in real-world language use.
Area of Science:
- Cognitive Science
- Developmental Linguistics
- Second Language Acquisition
Background:
- Emergentism offers a framework for analyzing language learning variability.
- Language learning is influenced by cognitive, social, and neurological factors.
- Complexity and variability characterize the language learning landscape.
Purpose of the Study:
- To explore the mechanisms shaping language learning across development.
- To understand the interactions between various learning factors.
- To highlight the need for richer longitudinal data in language acquisition research.
Main Methods:
- The study reviews existing literature on emergentist approaches to language learning.
- It emphasizes the role of cognitive, input, social, and neurological factors.
- It calls for advanced data collection methods to capture real-time language use.
Main Results:
- Language learning is highly variable due to complex interactions between multiple mechanisms.
- Cognition, entrenchment, input, transfer, social support, motivation, and neurology all play a role.
- Current understanding is limited by the lack of detailed longitudinal usage data.
Conclusions:
- Emergentism provides a valuable framework for understanding language learning complexity.
- More comprehensive longitudinal data from real-world contexts is crucial.
- Modern technology may enable the collection of such data to refine emergentist models.
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