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Dr Atsushi Mizumoto.

Speaker: Dr Atsushi Mizumoto, Ph.D. in Foreign Language Education, is Professor at the Faculty of Foreign Language Studies and the Graduate School of Foreign Language Education and Research, Kansai University, Japan.

His current research interests include learning strategies, language testing, corpus use for pedagogical purposes, and research methodology. He has published articles in journals such as Applied Linguistics, Language Learning, Language Teaching Research, Language Testing, and System. He is the recipient of the Award for Outstanding Academic Achievement from Language Education and Technology in the Year of 2017. 

Title: Who is data-driven learning (DDL) for? Influence of learner characteristics on the effectiveness of DDL

Abstract: Data-driven learning (DDL) refers to direct applications of corpora, in which learners themselves acquire hands-on experience of using a corpus for learning purposes, often with guided tasks or materials. In recent years, there has been an increasing use of DDL both inside and outside the classroom. Although DDL in general has been proven to be effective as a teaching and learning methodology based on both qualitative inquiries and quantitative syntheses, there is a lack of research from the perspective of what types of learners benefit from using DDL.

In this talk, I will first revisit the definition of DDL by focusing on the continuum of deductive (soft/guided) DDL and inductive (hard) DDL. I will then introduce a study, in which it was reported that soft DDL may be beneficial for both deductive and inductive learners irrespective of their learning preferences. Next, I will present a hard DDL study investigating the effectiveness of resource use in writing with a different proficiency level of learners. Because these studies reported mixed results, I will discuss their pedagogical implications and conclude with suggestions that future DDL studies should carefully define the construct of DDL and explore its relationship with learner characteristics. 

About International Perspectives on Corpus Technology for Language Learning - Seminar Series

Given the challenges to language education posed by COVID-19, increasing collaborative development in online pedagogies and resources ensures continuity of language education throughout the pandemic, while preparing students to succeed in an uncertain post-COVID-19 world. This seminar series is a global initiative spanning multiple time zones, with participants from Brazil, the UK, the USA, France, Poland and Australia, discussing the latest applications of language corpora for (language) learning. Topics include the use of corpora for language education, corpus pragmatics, text analytics for classroom use, data-driven learning, and much more, with a range of famous international speakers.

If you would like to present or have any queries about the CORPUS Seminar series, please contact Peter Crosthwaite.

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The seminars will take place in the following time zones: 9pm (Brisbane), 8am (Sao Paulo), 11am (UK)