7. Can Classroom Learners Use Statistical Learning? A New Perspective on Motion Event Construal in a Second Language

2016 ◽  
pp. 121-146 ◽  
Author(s):  
Jeanine Treffers-Daller ◽  
Xu Ziyan
Keyword(s):  
Second Language ◽  
Statistical Learning ◽  
Motion Event ◽  
New Perspective ◽  
Event Construal

Statistical Learning of Implicit Regularity Correlates With Acquisition of Chinese Literacy as a Second Language

2012 ◽  
Author(s):  
Denise H. Wu ◽  
Esther H.-Y. Shih ◽  
Ram Frost ◽  
Jun Ren Lee ◽  
Chiaying Lee ◽  
...  
Keyword(s):  
Second Language ◽  
Statistical Learning

scholarly journals How (not) to cross a boundary: Crosslinguistic influence in simultaneous bilingual children's event construal

2021 ◽  
pp. 1-13
Author(s):  
Helen Engemann
Keyword(s):  
Production Process ◽  
Age Groups ◽  
Boundary Crossing ◽  
Bilingual Children ◽  
Activation Patterns ◽  
Motion Event ◽  
Co Activation ◽  
Crosslinguistic Influence ◽  
Event Construal ◽  
Two Age Groups

Abstract Simultaneous bilingual children sometimes display crosslinguistic influence (CLI), widely attested in the domain of morphosyntax. It remains less clear whether CLI affects bilinguals’ event construal, what motivates its occurrence and directionality, and how developmentally persistent it is. The present study tested predictions generated by the structural overlap hypothesis and the co-activation account in the motion event domain. 96 English–French bilingual children of two age groups and 96 age-matched monolingual English and French controls were asked to describe animated videos displaying voluntary motion events. Semantic encoding in main verbs showed bidirectional CLI. Unidirectional CLI affected French path encoding in the verbal periphery and was predicted by the presence of boundary-crossing, despite the absence of structural overlap. Furthermore, CLI increased developmentally in the French data. It is argued that these findings reflect highly dynamic co-activation patterns sensitive to the requirements of the task and to language-specific challenges in the online production process.

scholarly journals THE CONTRIBUTIONS OF IMPLICIT-STATISTICAL LEARNING APTITUDE TO IMPLICIT SECOND-LANGUAGE KNOWLEDGE

2021 ◽  
pp. 1-29
Author(s):  
Aline Godfroid ◽  
Kathy MinHye Kim
Keyword(s):  
Second Language ◽  
Reaction Time ◽  
Language Learning ◽  
Statistical Learning ◽  
Structural Equation ◽  
Reaction Time Task ◽  
Implicit Knowledge ◽  
Equation Modeling ◽  
Language Tests ◽  
Language Knowledge

Abstract This study addresses the role of domain-general mechanisms in second-language learning and knowledge using an individual differences approach. We examine the predictive validity of implicit-statistical learning aptitude for implicit second-language knowledge. Participants (n = 131) completed a battery of four aptitude measures and nine grammar tests. Structural equation modeling revealed that only the alternating serial reaction time task (a measure of implicit-statistical learning aptitude) significantly predicted learners’ performance on timed, accuracy-based language tests, but not their performance on reaction-time measures. These results inform ongoing debates about the nature of implicit knowledge in SLA: they lend support to the validity of timed, accuracy-based language tests as measures of implicit knowledge. Auditory and visual statistical learning were correlated with medium strength, while the remaining implicit-statistical learning aptitude measures were not correlated, highlighting the multicomponential nature of implicit-statistical learning aptitude and the corresponding need for a multitest approach to assess its different facets.

scholarly journals Modeling Second-Language Learning from a Psychological Perspective

2018 ◽  
Author(s):  
Alexander Rich ◽  
Pamela Joy Osborn Popp ◽  
David Halpern ◽  
Anselm Rothe ◽  
Todd Matthew Gureckis
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Learning ◽  
Second Language Learning ◽  
Educational Software ◽  
Psychological Theory ◽  
Psychological Research ◽  
Small Scale ◽  
Boosted Decision Trees ◽  
New Perspective

Psychological research on learning and memory has tended to emphasize small-scale laboratory studies. However, large datasets of people using educational software provide opportunities to explore these issues from a new perspective. In this paper we describe our approach to the Duolingo Second Language Acquisition Modeling (SLAM) competition which was run in early 2018. We used a well-known class of algorithms (gradient boosted decision trees), with features partially informed by theories from the psychological literature. After detailing our modeling approach and a number of supplementary simulations, we reflect on the degree to which psychological theory aided the model, and the potential for cognitive science and predictive modeling competitions to gain from each other.

The Handbook of Language Assessment Across Modalities

2021 ◽  
Keyword(s):  
Second Language ◽  
Language Assessment ◽  
Spoken Language ◽  
Assessment Literacy ◽  
Signed Language ◽  
Key Issues ◽  
Relevant Field ◽  
The Common ◽  
New Perspective ◽  
First Time

In Language Assessment Across Modalities: Paired-Papers on Signed and Spoken Language Assessment, volume editors Tobias Haug, Wolfgang Mann, and Ute Knoch bring together—for the first time—researchers, clinicians, and practitioners from two different fields: signed language and spoken language. The volume examines theoretical and practical issues related to 12 topics ranging from test development and language assessment of bi-/multilingual learners to construct issues of second-language assessment (including the Common European Framework of Reference [CEFR]) and language assessment literacy in second-language assessment contexts. Each topic is addressed separately for spoken and signed language by experts from the relevant field. This is followed by a joint discussion in which the chapter authors highlight key issues in each field and their possible implications for the other field. What makes this volume unique is that it is the first of its kind to bring experts from signed and spoken language assessment to the same table. The dialogues that result from this collaboration not only help to establish a shared appreciation and understanding of challenges experienced in the new field of signed language assessment but also breathes new life into and provides a new perspective on some of the issues that have occupied the field of spoken language assessment for decades. It is hoped that this will open the door to new and exciting cross-disciplinary collaborations.

Mobile-mediated dynamic assessment: A new perspective for second language development

ReCALL ◽  
2020 ◽  
Vol 32 (2) ◽  
pp. 178-194 ◽  
Author(s):  
Alberto Andujar
Keyword(s):  
Second Language ◽  
Instant Messaging ◽  
Dynamic Assessment ◽  
Proximal Development ◽  
Language Performance ◽  
Class Time ◽  
Second Language Development ◽  
L2 Development ◽  
New Perspective ◽  
Constant Source

AbstractThe present investigation analyses the potential of a pedagogical dynamic assessment (DA) approach to foster second language (L2) development through the use of a mobile instant messaging application. Students’ zone of actual and proximal development is observed through the use of a grammar and vocabulary level test and the use of the WhatsApp application respectively. Sixty students taking a B1 English course at the language centre of a Spanish university were studied. A mixed methods methodology was used to analyse the differences between two pre-existing groups (control and experimental), each consisting of 30 participants. Both groups received the same tuition and content, and students in the experimental group participated in a daily conversation in the application during a five-month period where negative feedback was provided by the teacher through the use of an inventory of prompts, from most implicit to most explicit. Throughout the research, pedagogical mobile-mediated DA became a central part of the students’ learning process, extending learning beyond the in-class time and becoming a constant source of L2 input and feedback. Moreover, results indicated that DA and dialogic mediation helped students reflect on their language performance, gradually requiring less explicit feedback and metalinguistic explanations.

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