دورية أكاديمية

Error-Correction Mechanisms in Language Learning: Modeling Individuals

التفاصيل البيبلوغرافية
العنوان: Error-Correction Mechanisms in Language Learning: Modeling Individuals
اللغة: English
المؤلفون: Adnane Ez-zizi (ORCID 0000-0002-3495-2048), Dagmar Divjak (ORCID 0000-0001-6825-8508), Petar Milin (ORCID 0000-0001-9708-7031)
المصدر: Language Learning. 2024 74(1):41-77.
الإتاحة: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 37
تاريخ النشر: 2024
نوع الوثيقة: Journal Articles
Reports - Research
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Gender Differences, Short Term Memory, Computational Linguistics, Task Analysis, Behavior Patterns, Natural Language Processing, Goodness of Fit, Decision Making, Linguistic Theory
DOI: 10.1111/lang.12569
تدمد: 0023-8333
1467-9922
مستخلص: Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla-Wagner error-correction learning (Rescorla & Wagner, 1972) captures several aspects of language processing. Whereas previous studies have provided general support for the Rescorla-Wagner rule by using it to explain the behavior of participants across a range of tasks, we focus on testing predictions generated by the model in a controlled natural language learning task and model the data at the level of the individual learner. By adjusting the parameters of the model to fit the trial-by-trial behavioral choices of participants, rather than fitting a one-for-all model using a single set of default parameters, we show that the model accurately captures participants' choices, time latencies, and levels of response agreement. We also show that gender and working memory capacity affect the extent to which the Rescorla-Wagner model captures language learning.
Abstractor: As Provided
ملاحظات: https://oasis-database.org
Entry Date: 2024
رقم الأكسشن: EJ1410962
قاعدة البيانات: ERIC
الوصف
تدمد:0023-8333
1467-9922
DOI:10.1111/lang.12569