心理语言学线上论坛 | 6月30日15:00 李平 教授讲座

Speaker: Ping Li

Title: Digital Language Learning (DLL): Insights from Behavior, Cognition, and the Brain 

Time: 15:00 – 16:30, Wed, 30 June 2021  

           (Beijing, Hong Kong time)

Venue: https://cuhk.zoom.us/j/779556638

            https://cuhk.zoom.cn/j/779556638

About the speaker 

Prof Ping Li (李 平) currently serves as the Chair Professor of Neurolinguistics and Bilingual Studies, Dean of Faculty of Humanities and the Associate Director of the University Research Facility in Behavioral and Systems Neuroscience (UBSN) at the Hong Kong Polytechnic University. Prior to joining PolyU, he was Professor of Psychology, Linguistics, and Information Sciences, and Associate Director of the Institute for CyberScience at the Penn State University. He previously taught at the Chinese University of Hong Kong and the University of Richmond. 

The goal of his research is to understand the neuro-computational basis of language and cognition, and the relationships among language, culture, brain, and technology. His recent work uses brain-based, cyber-enabled and data-intensive methods to study language acquisition, bilingualism, and reading comprehension. 

Prof Ping Li currently serves as the Editor-in-Chief of Brain and Language, Senior Editor of Cognitive Science and Associate Editor of Frontiers in Psychology: Language Sciences. He previously served as Editor of Bilingualism: Language and Cognition and Journal of Neurolinguistics, as President of Society for Computers in Psychology, and Program Director of Cognitive Neuroscience and of Perception, Action and Cognition at the U.S. National Science Foundation. For further details, please refer to http://blclab.org/. 

Digital Language Learning (DLL): Insights from Behavior, Cognition, and the Brain 

Ping Li 

The Hong Kong Polytechnic University

Abstract: 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.

Virtual Psycholinguistics Forum: 

(https://cuhklpl.github.io/forum.html)