Integrating Language Learning Research with Educational Neuroscience and Digital Technology

Activity: Talk or presentationInvited talk


In an era of rapid developments in digital technology and generative AI, we need to examine the mechanisms of language learning and representation from an integrative perspective. In this talk, I outline an approach that combines emerging technologies, AI-driven models, and current neurocomputational theories, in an effort to study embodied language learning in particular and knowledge acquisition in general. 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 learning contexts in normally developing adults. This approach also gains insights into the understanding of how human learners, as compared with AI models, effectively integrate multimodal information in a social interactive context. Methodologically, this approach relies on collecting and analyzing real-time multimodal data towards the study of both language and non-language domains. Practically, the approach also allows us to effectively study real-time processes of learning, whether it be language or other knowledge, so that we can develop evidence-based, personalized, pedagogical designs that tailor to individual learners’ needs and learning profiles.
Period5 Jul 2024
Event titleInternational Conference on Technology-Enhanced Language Learning and Teaching & Corpus-based Language Learning and Teaching 2024
Event typeConference
LocationHong Kong, ChinaShow on map
Degree of RecognitionInternational


  • immersive technology
  • second language learning
  • LLMs
  • neuroscience,
  • multimodal representation