DescriptionAbstract: How can we leverage digital technologies to enhance language learning and bilingual representation? In an era of pervasive digital applications, our theories and practices for the learning and teaching of second languages (L2) have lagged significantly behind the pace of scientific advances and technological innovations. In this article, we 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, the DLL approach serves as the basis for understanding differences between child language and adult L2 learning, and for understanding the effects of learning context and learner characteristics. Practically, findings from learner behaviors, cognitive processing, and brain correlates can inform DLL-based language pedagogies including the design of tools and platforms for better L2 acquisition and instruction. Because of its highly interdisciplinary nature, DLL can serve as an approach to integrate cognitive, social, affective, and neural bases of L2 learning with the rapidly developing technologies including VR, AI, and big data analytics, therefore providing a gateway for multilingual research and multicultural communication.
|Period||30 Jun 2021|
|Event title||Virtual Psycholinguistics Forum|
|Degree of Recognition||International|