Working memory and second language development: A complex, dynamic future?

Jackson, Daniel O.

doi:10.14746/ssllt.2020.10.1.5

Cited by 7 publications

(6 citation statements)

References 57 publications

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“…Another reason relates to the theoretical challenges of conceptualizing abstract psychological constructs as complex systems. A number of individual differences constructs in language learning have been conceptualized as complex systems, such as motivation (Papi & Hiver, 2020), strategy development (Amerstorfer, 2020), anxiety (Gregersen, 2020), working memory (Jackson, 2020), and willingness to communicate (MacIntyre, 2020). To examine these constructs from a relation-intensive perspective, for example to model L2 motivation as a complex system, we must consider the components that form the system, and how these components align with our measurement instruments.…”

Section: Expanding Our Research Agendamentioning

confidence: 99%

Network analysis for modeling complex systems in SLA research

Freeborn

Andringa

Lunansky

et al. 2022

Stud Second Lang Acquis

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Network analysis is a method used to explore the structural relationships between people or organizations, and more recently between psychological constructs. Network analysis is a novel technique that can be used to model psychological constructs that influence language learning as complex systems, with longitudinal data, or cross-sectional data. The majority of complex dynamic systems theory (CDST) research in the field of second language acquisition (SLA) to date has been time-intensive, with a focus on analyzing intraindividual variation with dense longitudinal data collection. The question of how to model systems from a structural perspective using relation-intensive methods is an underexplored dimension of CDST research in applied linguistics. To expand our research agenda, we highlight the potential that psychological networks have for studying individual differences in language learning. We provide two empirical examples of network models using cross-sectional datasets that are publicly available online. We believe that this methodology can complement time-intensive approaches and that it has the potential to contribute to the development of new dimensions of CDST research in applied linguistics.

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Section: Expanding Our Research Agendamentioning

confidence: 99%

Network analysis for modeling complex systems in SLA research

Freeborn

Andringa

Lunansky

et al. 2022

Stud Second Lang Acquis

View full text Add to dashboard Cite

show abstract

“…Similarly, the field of L2 acquisition has made claims on the links between WM and L2 development, performance, and processing (for recent reviews, see Jackson, 2020;McCormick & Sanz, 2022;Serafini, 2023;Tsai et al, 2016;Wen, 2016;Wen & Jackson, 2022;Wen & Skehan, 2021; see also Kormos's and Li's contributions to this special issue). These recent accounts on the nexus between WM and L2 development have included six major claims.…”

Section: Working Memory In L2 Writingmentioning

confidence: 99%

Exploring working memory and language dominance in heritage bilinguals’ writing processes

Torres

2023

Stud Second Lang Acquis

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Heritage language (HL) bilinguals’ writing skills has been a topic of inquiry in the field of HL education. However, little is still known about HL writers’ writing processes and the contribution of individual differences to these processes remains unexplored. By integrating keystroke-logging and think-aloud methodologies, this study examined 61 Spanish-English HL writers’ pausing and revision behaviors during the completion of Spanish (HL) and English writing tasks. Participants also completed an advanced Ospan working memory test and a language dominance questionnaire. The main findings revealed that, although HL writers’ pausing and revision behaviors did not significantly differ between writing tasks, the nature of their writing processes underlying these writing behaviors fluctuated. Further, language dominance as a multidimensional construct did not contribute to these writing results, whereas participants with higher working memory spent more time addressing orthographic and morphosyntactic encoding episodes during pauses within words when writing in both languages.

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“…Regarding the development prospects of dialects and Mandarin, we will investigate from three aspects: the necessity of popularizing Mandarin, the language expected to [23]. e language education for the next generation is to examine the views on the preservation and inheritance of dialects.…”

Section: Differences In Language Attitudementioning

confidence: 99%

Comprehensive Evaluation and Analysis of Ecological Language Development in Consideration of Q-Learning Algorithm

Sun

2022

Mathematical Problems in Engineering

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The article uses the Q-learning algorithm to investigate the development of ecological language of college students in some cities, and analyzes the results of the investigation. Including the analysis of the language ability of the university, the analysis of the impact of the language environment of the students on the language ability, the analysis of the difference in language use and the analysis of the difference in language behavior. On this basis, summarizing the usage habits and behaviors of some students and giving solutions. In terms of social factors, analyzing the status quo of students and the Mandarin mode of college students. Analyzing the causes of college students’ “bilingualism” problems from the perspectives of sociolinguistics and psycholinguistics, improving language proficiency, and providing targeted solutions from the three perspectives of school, family, and individuals. The results show that only 9.9% of the respondents think their Mandarin is “very good,” only 19% of the respondents who can speak a little Mandarin think that their Mandarin is “very good.” Mandarin is very fluent, and the corresponding respondents rated their Mandarin as “very good” accounting for 32.1%. It can be seen that the Mandarin level of the surrounding contact objects has a great influence on the Mandarin level of the surveyed persons, and there is a positive correlation.

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Working memory and second language development: A complex, dynamic future?

Cited by 7 publications

References 57 publications

Network analysis for modeling complex systems in SLA research

Network analysis for modeling complex systems in SLA research

Exploring working memory and language dominance in heritage bilinguals’ writing processes

Comprehensive Evaluation and Analysis of Ecological Language Development in Consideration of Q-Learning Algorithm

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