Multimodal language learning and knowledge representation: Cognitive and neural mechanisms

Activity: Talk or presentationInvited talk


In an era of rapid developments in digital technology and AI, we need to examine the mechanisms of language learning and processing from an integrative neurocognitive perspective. In this talk, I outline an approach that combines emerging technologies and data-driven methodologies with current neurocognitive theories, with particular reference to embodied learning. I highlight the interactive mechanisms and integrative processes that enable us to understand the differences between child and adult language learning, as well as individual differences in diverse language learning contexts. The key to this approach is the understanding of how human learners effectively integrate multimodal information in a social interactive context. Theoretically, this approach allows us to gain a deeper insight into embodied language learning and its underlying neural mechanism through collecting and analyzing real-time multimodal data. Practically, it emphasizes context-based communicative abilities, which allows us to develop personalized pedagogical designs that tailor to individual learners’ needs and learning profiles.
Period1 Dec 2023
Event titleArchitecture and Mechanisms for Language Processing Asia
Event typeConference
Conference number2023
LocationHong Kong, ChinaShow on map
Degree of RecognitionInternational