32.3674, Books: Individual differences in early instructed language learning: Berthele, Udry (eds.)
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LINGUIST List: Vol-32-3674. Mon Nov 22 2021. ISSN: 1069 - 4875.
Subject: 32.3674, Books: Individual differences in early instructed language learning: Berthele, Udry (eds.)
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Date: Mon, 22 Nov 2021 16:52:45
From: Sebastian Nordhoff [Sebastian.Nordhoff at langsci-press.org]
Subject: Individual differences in early instructed language learning: Berthele, Udry (eds.)
Title: Individual differences in early instructed language learning
Subtitle: The role of language aptitude, cognition, and motivation
Series Title: EuroSLA Studies
Publication Year: 2021
Publisher: Language Science Press
http://langsci-press.org
Book URL: https://langsci-press.org/catalog/book/313
Editor: Raphael Berthele
Editor: Isabelle Udry
Electronic: ISBN: 9783961103249 Pages: 252 Price: Europe EURO 0 Comment: Open Access
Abstract:
Variability in predispositions for language learning has attracted scholarly
curiosity for over 100 years. Despite major changes in theoretical
explanations and foreign/second language teaching paradigms, some patterns of
associations between predispositions and learning outcomes seem timelessly
robust. This book discusses evidence from a research project investigating
individual differences in a wide variety of domains, ranging from language
aptitude over general cognitive abilities to motivational and other affective
and social constructs. The focus lies on young learners aged 10 to 12, a less
frequently investigated age in aptitude research. The data stem from two
samples of multilingual learners in German-speaking Switzerland. The target
languages are French and English. The chapters of the book offer two
complementary perspectives on the topic: On the one hand, cross-sectional
investigations of the underlying structure of these individual differences and
their association with the target languages are discussed. Drawing on factor
analytical and multivariable analyses, the different components are
scrutinized with respect to their mutual dependence and their relative impact
on target language skills. The analyses also take into account contextual
factors such as the learners’ family background and differences across the two
contexts investigated. On the other hand, the potential to predict learner’s
skills in the target language over time based on the many different indicators
is investigated using machine learning algorithms. The results provide new
insights into the stability of the individual dispositions, on the impact of
contextual variables, and on empirically robust dimensions within the array of
variables tested.
Linguistic Field(s): Applied Linguistics
Language Acquisition
Written In: English (eng)
See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=157933
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