CHIKAKO NISHIGAKI (National Chiba University)
DEEP ACTIVE LEARNING IN COMMUNICATIVE ENGLISH CLASSROOMS USING DATA-DRIVEN LANGUAGE LEARNING : ELT INNOVATIVE PEDAGOGY
Data-driven learning (DDL) is an inductive and learner-centered approach to language learning. Learners explore lists of language examples, notice language patterns and draw conclusions. DDL is being implemented in language classes around the world and its effectiveness has been reported in three meta-analyses. In our previous study, DDL was implemented in an English writing class in a Thai high school, and found to be effective for the use of the target grammar (Kumpawan and Nishigaki, 2019). However, further analysis revealed that some lower-level students did not acquire the target items and questionnaire results showed that the participants were not familiar with DDL and therefore were uneasy using it. To address these issues, we modified the instruction for the target Thai students and implemented these changes in communicative writing class. We will report on the improved DDL application and the measured results.
Pichinart Kumpawan is a full-time English teacher at Surasakmontree school, Bangkok, Thailand. In 2017, she was granted the Japanese Government Scholarship, MEXT, for teacher training program to conduct a research in English Education at Chiba University, Japan. Her research areas of interests are second language acquisition and corpus linguistics.
Chikako Nishigaki is Professor in the Faculty of Education at National Chiba University in Japan. She teaches second language acquisition to undergraduate and graduate students. Her current research interests are the pedagogical applications of corpus linguistics such as data-driven learning to teaching grammar and vocabulary.