多模态语言学习及知识表征的认知神经机制 Multimodal language learning and knowledge representation: Cognitive and neural mechanisms

Activity: Talk or presentationInvited talk

Description

In an era of rapid developments in digital technology and AI, it is important for researchers in language neuroscience to examine the mechanisms of language learning 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 the 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.
Period21 Oct 2023
Event title中国语文现代化学会神经语言学研究分会第三届年会
Event typeOther
LocationChinaShow on map
Degree of RecognitionNational