Digital Language Learning (DLL): Insights from Behavior, Cognition, and the Brain

Activity: Talk or presentationInvited talk

Description

How can we leverage digital technologies to enhance second language learning and bilingual representation? In the era of pervasive digital applications, our theories and practices for the learning and teaching of L2 lag significantly behind the pace of scientific advances and technological innovations. In this talk, I outline the approach of digital language learning (DLL) for L2 acquisition and representation, and provide a theoretical synthesis and analytical framework with respect to DLL’s current and future promises. Theoretically, based on findings from learner behaviors, cognitive abilities, and brain correlates, the DLL approach serves as the basis for understanding differences between child language learning and adult L2 learning, and for understanding the nature of learning context and learner differences. Practically, DLL studies can inform pedagogical designs and L2 instructional practices, providing new tools and platforms for multilingual communication and intercultural adaptation. Finally, because of its highly interdisciplinary nature, DLL also serves to integrate cognitive science and linguistics with emerging technologies including AI and data analytic applications in education.
Period14 Jan 2022
Event titleFirst (online) conference of the Language Acquisition, Multilingualism, and Teaching (LAMiNATE) research platform
Event typeConference
Degree of RecognitionInternational