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            Language-Learner Computer Interactions

            Theory, methodology and CALL applications

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            Contributor(s)
            Caws, Catherine (editor)
            Hamel, Marie-Josée (editor)
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            This book focuses on learner-computer interactions (LCI) in second language learning environments drawing largely on sociocultural theories of language development. It brings together a rich and varied range of theoretical discussions and applications in order to illustrate the way in which LCI can enrich our comprehension of technology-mediated communication, hence enhancing learners’ digital literacy skills. The book is based on the premise that, in order to fully understand the nature of language and literacy development in digital spaces, researchers and practitioners in linguistics, sciences and engineering need to borrow from each others’ theoretical and practical toolkits. In light of this premise, themes include such aspects as educational ergonomics, affordances, complex systems learning, learner personas and corpora, while also describing such data collecting tools as video screen capture devices, eye-tracking or intelligent learning tutoring systems.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/195583
            Keywords
            Linguistics; CALL; Language Learning; Language Pedagogy; Language Acquisition; thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods
            DOI
            10.1075/lsse.2
            ISBN
            9789027266989
            Publisher
            John Benjamins Publishing Company
            Publisher website
            https://benjamins.com
            Publication date and place
            2016-06-14
            Grantor
            • Knowledge Unlatched
            • OAPEN harvesting collection

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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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