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Nelson, Christina; Krzysik, Iga; Lewandowska, Halina; Wrembel, Magdalena – Language Awareness, 2021
Recent research suggests that psychotypology may be one of the main factors determining L3 acquisition and use, especially so in the early stages. However, the existence and nature of multilingual learners' perception of language proximity have often only been assumed rather than measured, and rarely addressed with respect to the increasingly…
Descriptors: German, Native Language, Multilingualism, Second Language Learning
Kevin R. Hirschi – ProQuest LLC, 2024
Millions engage in learning a Second Language (L2) using their mobile devices with a wide range of success. Concomitantly, there exists a growing interest in research on the effects of mobile-assisted language learning and predictors of learner outcomes (e.g., Loewen et al., 2020; Sudina & Plonsky, 2023). However, few of these apps and studies…
Descriptors: Native Language, Spanish, Second Language Learning, English (Second Language)
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Compton, Donald L.; Steacy, Laura M.; Petscher, Yaacov; Rueckl, Jay G.; Landi, Nicole; Pugh, Ken R. – New Directions for Child and Adolescent Development, 2019
The overarching goal of the new Florida State University/Haskins Laboratory/University of Connecticut Learning Disability (LD) Hub project is to align computational and behavioral theories of individual word reading development more closely with the challenges of learning to read a quasi-regular orthography (i.e., English) for both typically…
Descriptors: Vowels, Pronunciation, Individual Differences, Learning Disabilities
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Taguchi, Naoko; Hirschi, Kevin; Kang, Okim – Studies in Second Language Acquisition, 2022
This study investigated whether L2 English learners' prosodic properties in speech acts change as they are immersed in the English-speaking academic community over time, and if so, what individual and contextual factors (proficiency, orientation to language study, and target language contact) potentially affect these changes. Forty-seven Japanese…
Descriptors: Intonation, Speech Acts, Suprasegmentals, Phonology
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Suzuki, Yuichi; DeKeyser, Robert – Language Learning, 2017
Recent research has called for the use of fine-grained measures that distinguish implicit knowledge from automatized explicit knowledge. In the current study, such measures were used to determine how the two systems interact in a naturalistic second language (L2) acquisition context. One hundred advanced L2 speakers of Japanese living in Japan…
Descriptors: Second Language Learning, Individual Differences, Short Term Memory, Phonology
Amy Jean Konyn – ProQuest LLC, 2021
Natural language is highly complex and can be challenging for some learners, yet the contribution of complexity to individual differences in language learning remains poorly understood. This poor understanding appears due to both a lack of consensus among researchers regarding what complexity is, and to on-line language research often employing…
Descriptors: Phonology, Natural Language Processing, Native Language, English
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Williams, John N.; Lovatt, Peter – Language Learning, 2005
Our research reflects the current trend to relate individual differences in second language learning to underlying cognitive processes e.g., Robinson, 2002. We believe that such investigations, apart from being of practical importance, can also shed light on the cognitive mechanisms underlying the language learning process. Here we focus on the…
Descriptors: Second Language Learning, Prior Learning, Memory, Learning Processes
Morley, Muriel E.; Fox, Joe – Brit J Disor Commun, 1969
Descriptors: Articulation (Speech), Auditory Discrimination, Individual Differences, Learning Problems
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Ellis, Nick C. – Studies in Second Language Acquisition, 1996
Argues that much of language acquisition is sequence learning and that the resultant long-term knowledge base of language sequences serves as the database for grammar acquisition. The article also proposes mechanisms to analyze sequence information that result in knowledge of underlying grammar. (184 references) (Author/CK)
Descriptors: Associative Learning, Computational Linguistics, Discourse Analysis, Grammar