Description
In an era of rapid developments in generative AI (genAI) and digital technology, many fields are facingsignificant challenges. This is no exception for the field of language studies. Therefore we must understand and use the latest techniques and emerging technologies to examine the mechanisms underlying language learning, representation, and processing. For example, we can use neurocomputational methods to study individual differences in language processing; we can build immersive VR platforms that simulate the acquisition process and motivate learning in a real world-like natural but controlled environment; and we can study how human learners, compared with AI models, more efficiently integrate multimodal information in social contexts, and how such social interactive processes enable some to learn more effectively than others. To achieve these goals, we need to collect and use high-quality domain-specific data (unlike what genAI models do), linguistic and non-linguistic processing data, and real-time multi-sensory learning data. We can also leverage genAI to develop evidence-based, personalized, pedagogical designs for foreign language learning and representation. Theoretical and educational implications of our findings on language, reading, and the brain will be discussed in light of current technological and scientific developments.
| Period | 6 Jan 2026 |
|---|---|
| Event title | CPCECPR Conference 2026 – Transforming Education Through Technology, Equity, and Human-Centered Innovation |
| Event type | Conference |
| Location | Hong Kong, ChinaShow on map |
| Degree of Recognition | Local |