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Identifying Key Grammatical Errors of Japanese English as a Foreign Language Learners in a Learner Corpus: Toward Focused Grammar Instruction with Data-Driven Learning

  • Received : 2023.05.19
  • Accepted : 2023.08.11
  • Published : 2023.08.31

Abstract

The number of studies on data-driven learning (DDL) has increased in recent years, and DDL's overall effectiveness as an L2 (second language) teaching methodology has been reported to be high. However, the degree of its effectiveness in grammar instruction, particularly for the goal of correcting errors in L2 writing, is still unclear. To provide guidelines for focused grammar instruction with DDL in the Japanese classroom setting, we aimed to identify the typical grammatical errors made by Japanese learners in the Cambridge Learner Corpus First Certificate in English (CLC FCE) dataset. The results revealed that three error types (nouns, articles, and prepositions) should be addressed in DDL grammar instruction for Japanese English as a foreign language (EFL) learners. In light of the findings, pedagogical implications and suggestions for future DDL research and practice are discussed.

Keywords

Acknowledgement

This research was made possible by a Grant-in-aid for Scientific Research (Grant No. 21H00553) from the Japan Society for the Promotion of Science.

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