Enhancing Teacher Development Through Free Online Corpora: Advancing Corpus-Based Language Pedagogy (CBLP)
By Dr Qing Ma (Angel)
While the potential of corpus linguistics to enhance language teaching and learning is significant, its practical application remains largely unexplored within the professional teaching community. This workshop aims to bridge this gap by introducing participants to a selection of freely available online corpora, designed to familiarize language teachers with these valuable resources. Furthermore, participants will learn about an innovative language pedagogy – Corpus-Based Language Pedagogy (CBLP). Attendees will acquire fundamental knowledge about CBLP and learn how to utilize various corpus tools for both teaching and learning purposes. Ultimately, the goal of this workshop is to empower language teachers/educators to fully harness the potential of CBLP, resulting in more effective classroom instruction and fostering a culture of ongoing self-learning, integral to continuous professional development.
About the speaker
Dr Qing Ma (Angel) is an associate professor at the Department of Linguistics and Modern Language Studies, The Education University of Hong Kong. Her main research interests include second language vocabulary acquisition, corpus linguistics, corpus-based language pedagogy (CBLP), computer assisted language learning (CALL) and mobile assisted language learning (MALL).
She has developed the Parallel EAP Corpora (http://corpus.eduhk.hk/eap/)for research purposes and the Corpus-Aided Platform for Language Teachers (CAP) (http://corpus.eduhk.hk/cap/) for teaching purposes. She is an experimenter of corpus technology in teaching, and passionate English teacher trainer. Recently, she has established a new corpus-based language pedagogy by theorising and empirically testing it that has positively impacted many pre-service and in-service English teachers. She is the associate editor for three journals: Computer Assisted Language Learning (CALL); International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT); The Journal of China Association for Computer-Assisted Language Learning (ChinaCALL).
