A systematic review of Data-driven Learning (DDL) literature in second language acquisition context

ID: 54319 Type: Brief Paper
  1. Huifen Lin, National Tsing Hua University, Taiwan

Tuesday, June 25 12:20-12:40 PM Location: Oud West View on map

No presider for this session.

Abstract: Research synthesis is an important approach to systematically and critically aggregating, analyzing and synthesizing primary studies in the literature on a defined topic to inform evidence-based policy and practice. Traditional systematic reviews used to exclude qualitative syntheses; however, this view has changed. Recently we have witnessed a growing interest in developing and improving the methods for including qualitative reviews in systematic reviews, which require close and in-depth exploration of the lived experiences or perceptions of the people involved in interventions or non-interventions with various contextual factors. In this study we would like to systematically review the literature related to Data-driven learning (DDL), or corpus use in second language learning. Specifically. We review qualitative studies on DDL and try to understand 1)the characteristics of corpus tasks or activities used in the primary studies between 1990 and 2017; 2) the perceived benefits and drawbacks of learners in using corpora in language learning; 3)the potential barriers for practitioners who intend to use corpora in the language classroom? The answers to the above-mentioned questions would be discussed and limitations and pedagogical implications of the study findings would be provided in the conference.


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