New Trends in Second Language Learning and Teaching through the lens of ICT, Networked Learning, and Artificial Intelligence

Bibliographic Data

ID21180693
AuthorsJaya Kannan (Amherst College), Pilar Munday
Year2018
Volume76
Pages13-30
Publication date2018-11-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCírculo de lingüística aplicada a la comunicación (JOURNAL)
Journal identifiersISSN: 1576-4737 • E-ISSN: 1576-4737
PublisherUniversidad Complutense de Madrid (UCM) (PUBLISHER)
DOI10.5209/clac.62495
OpenAlexW2905091903
LanguageEN
Citations received21
References cited31

In the last few decades, Information and Communications Technology (ICT) applications have been shaping the field of Computer Assisted Language Learning (CALL). Mobile Assisted Language Learning (MALL) paved the way for ubiquitous learning. The advent of new technologies in the early 21st century also added a social dimension to ICT that allowed for Networked Learning (NL). Given that language learning is fundamentally a socio-cultural experience, networked learning capabilities have provided the potential for language learning in community settings. This has revitalized the earlier frameworks provided by CALL. NL has empowered language learners today to connect globally, to access Open Educational Resources, and to self-regulate their learning processes beyond the scope of traditional curricula. In parallel, the rising pervasiveness of Artificial Intelligence (AI) applications and their relevance to language learning has led CALL to branch out into Intelligent CALL (ICALL). The first section of this article provides a brief historical overview of CALL, examines it through the lens of ICT, networked learning, and open access. The second section focuses on the implications of AI for creating new trends in second language education, the challenge for providing customization at scale, and raises important issues related to transparency and privacy for future research

Computer security · Curriculum · Information and Communications Technology · Language acquisition · Mathematics education · Pedagogy · Personalization · Sociology · World Wide Web · Computer Science · E-Learning and Knowledge Management · Mobile Learning in Education · Psychology · Robotics and Automated Systems · Artificial Intelligence

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