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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.

References

  1. Appel, R., & Szeib, A. (2018). Linking adverbials in L2 English academic writing: L1-related differences. System, 78, 115-129. https://doi.org/10.1016/j.system.2018.08.008
  2. Bardovi-Harlig, K., Mossman, S., & Vellenga, H. E. (2015). The effect of instruction on pragmatic routines in academic discussion. Language Teaching Research, 19(3), 324-350. https://doi.org/10.1177/1362168814541739
  3. Boulton, A. (2009). Testing the limits of data-driven learning: Language proficiency and training. ReCALL, 1(21), 81-87. https://doi.org/10.1017/S0958344009000068
  4. Boulton, A. (2010). Data-driven learning: Taking the computer out of the equation. Language Learning, 60(3), 534-572. https://doi.org/10.1111/j.1467-9922.2010.00566.x
  5. Boulton, A. (2012). What data for data-driven learning? The EUROCALL Review: Proceedings of the EUROCALL 2011 Conference, 23-27.
  6. Boulton, A., & Cobb, T. (2017). Corpus use in language learning: A meta-analysis. Language Learning, 67(2), 348-393. https://doi.org/10.1111/lang.12224
  7. Boulton, A., & Vyatkina, N. (2021). Thirty years of data-driven learning: Taking stock and charting new directions over time. Language Learning & Technology, 25(3), 66-89.
  8. Charles, M. (2007). Reconciling top-down and bottom-up approaches to graduate writing: Using a corpus to teach rhetorical functions. Journal of English for Academic Purposes, 6(4), 289-302. https://doi.org/10.1016/j.jeap.2007.09.009
  9. hen, M., & Flowerdew, J. (2018). A critical review of research and practice in data-driven learning (DDL) in the academic writing classroom. International Journal of Corpus Linguistics, 23(3), 335-369. https://doi.org/10.1075/ijcl.16130.che
  10. Chujo, K., Oghigian, K., & Akasegawa, S. (2015). A Corpus and grammatical browsing system for remedial EFL learners. In Lenko-Szymanska, A., & Boulton, A. (Eds.), Multiple Affordances of Language Corpora for Data-driven Learning (pp. 109-128). Amsterdam: John Benjamins.
  11. Cobb, T. (1999). Applying constructivism: A test for the learner-as-scientist. Educational Technology Research and Development, 47(3), 15-31. https://doi.org/10.1007/BF02299631
  12. Collins, L., & Ruivivar, J. (2021). Research agenda: Researching grammar teaching and learning in the second language classroom. Language Teaching, 54(3), 407-423. https://doi.org/10.1017/S0261444821000070
  13. Crosthwaite, P. (2017). Retesting the limits of data-driven learning: Feedback and error correction. Computer Assisted Language Learning, 30(6), 447-473. https://doi.org/10.1080/09588221.2017.1312462
  14. Crosthwaite, P., Storch, N., & Schweinberger, M. (2020). Less is more? The impact of written corrective feedback on corpus-assisted L2 error resolution. Journal of Second Language Writing, 49, 100729.
  15. Crosthwaite, P., Wong, L., & Cheung, J. (2019). Characterising postgraduate students' corpus query and usage patterns for disciplinary data-driven learning. ReCALL, 31(3), 255-275. https://doi.org/10.1017/S0958344019000077
  16. Ellis, N. C., Romer, U., & O'Donnell, M. B. (2016). Usage-based Approaches to Language Acquisition and Processing: Cognitive and Corpus Investigations of Construction Grammar. Hoboken, NJ: Wiley.
  17. Flowerdew, L. (2015). Using corpus-based research and online academic corpora to inform writing of the discussion section of a thesis. Journal of English for Academic Purposes, 20, 58-68. https://doi.org/10.1016/j.jeap.2015.06.001
  18. Gabrielatos, C. (2005). Corpora and language teaching: Just a fling or wedding bells? TESL-EJ, 8(4), 32.
  19. Gaskell, D., & Cobb, T. (2004). Can learners use concordance feedback for writing errors? System, 32(3), 301-319. https://doi.org/10.1016/j.system.2004.04.001
  20. Granger, S., Dagneaux, E., Meunier, F., & Paquot, M. (Eds.). (2009). International Corpus of Learner English (Version 2). Louvain: Presses Universitaires de Louvain.
  21. Gries, S. Th. (2022). Corpus-linguistic and computational methods for analyzing communicative competence. In Kanwit, M. H., & Solon, M. E. (Eds.), Communicative Competence in a Second Language: Theory, Method, and Applications (pp. 115-131). New York: Routledge.
  22. Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2019). Multivariate Data Analysis (8th ed.). Andover, Hampshire: Cengage.
  23. Han, S., & Shin, J.-A. (2017). Teaching Google search techniques in an L2 academic writing context. Language Learning & Technology, 21(3), 172-194.
  24. Hawkins, J. A., & Filipovic, L. (2012). English Profile Studies: Criterial Features in L2 English. Cambridge: Cambridge University Press.
  25. Johns, T. F. (1991). Should you be persuaded: Two samples of data-driven learning materials. In Johns, T. F., & King, P. (Eds.), Classroom Concordancing (ELR Journal 4) (pp. 1-16). Birmingham: ELR.
  26. Lee, D., & Swales, J. (2006). A corpus-based EAP course for NNS doctoral students: Moving from available specialized corpora to self-compiled corpora. English for Specific Purposes, 25(1), 56-75. https://doi.org/10.1016/j.esp.2005.02.010
  27. Lee, H., Warschauer, M., & Lee, J. H. (2019). The effects of corpus use on second language vocabulary learning: A multilevel meta-analysis. Applied Linguistics, 40(5), 721-753. https://doi.org/10.1093/applin/amy012
  28. Lenko-Szymanska, A. (2015). A teacher-training course on the use of corpora in language education: Perspectives of the students. In Turula, A., & Mikolajewska, B. (Eds.), Insights into Technology-enhanced Language Pedagogy (pp. 129-144). Frankfurt: Peter Lang.
  29. Lenko-Szymanska, A., & Boulton, A. (Eds.). (2015). Multiple Affordances of Language Corpora for Datadriven Learning. Amsterdam: John Benjamins.
  30. Long, M. (1991). Focus on form: A design feature in language teaching methodology. In de Bot, K., Ginsberg, R. B., & Kramsch, C. (Eds.), Studies in Bilingualism (pp. 39-52). Amsterdam: John Benjamins.
  31. Luo, Q. (2016). The effects of data-driven learning activities on EFL learners' writing development. SpringerPlus, 5(1255), 1-13. https://doi.org/10.1186/s40064-015-1659-2
  32. McEnery, T., Brezina, V., Gablasova, D., & Banerjee, J. (2019). Corpus linguistics, learner corpora, and SLA: Employing technology to analyze language use. Annual Review of Applied Linguistics, 39, 74-92. https://doi.org/10.1017/S0267190519000096
  33. Mizumoto, A., & Chujo, K. (2016). Who is data-driven learning for? Challenging the monolithic view of its relationship with learning styles. System, 61, 55-64. https://doi.org/10.1016/j.system.2016.07.010
  34. Mizumoto, Atsushi., & Chujo, Kiyomi. (2015). A meta-analysis of data-driven learning approach in the Japanese EFL classroom. English Corpus Studies, 22, 1-18.
  35. Moon, S., & Oh, S.-Y. (2018). Unlearning overgenerated be through data-driven learning in the secondary EFL classroom. ReCALL, 30(1), 48-67. https://doi.org/10.1017/S0958344017000246
  36. Mueller, C. M., & Jacobsen, N. D. (2016). A comparison of the effectiveness of EFL students' use of dictionaries and an online corpus for the enhancement of revision skills. ReCALL, 28(1), 3-21. https://doi.org/10.1017/S0958344015000142
  37. Murakami, A., & Ellis, N. C. (2022). Effects of availability, contingency, and formulaicity on the accuracy of English grammatical morphemes in second language writing. Language Learning, 72(4), 899- 940. https://doi.org/10.1111/lang.12500
  38. Nation, P. (2013). Learning Vocabulary in Another Language (2nd ed.). Cambridge: Cambridge University Press.
  39. Nicholls, D. (2003). The Cambridge Learner Corpus-Error coding and analysis for lexicography and ELT. Proceedings of the Corpus Linguistics 2003 Conference, 572-581.
  40. Oghigian, K., & Chujo, K. (2012). Improving student writing with paper-based and computer-based text analysis. Language Education in Asia, 3(1), 60-70. https://doi.org/10.5746/LEiA/12/V3/I1/A06/Oghigian_Chujo
  41. O'Keeffe, A., & Mark, G. (2022). Principled pattern curation to guide data-driven learning design. Applied Corpus Linguistics, 2(3), 100028.
  42. Plonsky, L., & Oswald, F. L. (2014). How big is "big"? Interpreting effect sizes in L2 research. Language Learning, 64(4), 878-912. https://doi.org/10.1111/lang.12079
  43. Plonsky, L., & Ziegler, N. (2016). The CALL-SLA interface: Insights from a second-order synthesis. Language Learning & Technology, 20(2), 17-37.
  44. Polio, C., & Yoon, H.-J. (2021). Exploring multi-word combinations as measures of linguistic accuracy in second language writing. In Le Bruyn, B., & Paquot, M. (Eds.), Learner Corpus Research Meets Second Language Acquisition (pp. 96-121). Cambridge: Cambridge University Press.
  45. Poole, R. (2016). A corpus-aided approach for the teaching and learning of rhetoric in an undergraduate composition course for L2 writers. Journal of English for Academic Purposes, 21, 99-109. https://doi.org/10.1016/j.jeap.2015.12.003
  46. Potts, A., & Baker, P. (2012). Does semantic tagging identify cultural change in British and American English? International Journal of Corpus Linguistics, 17(3), 295-324. https://doi.org/10.1075/ijcl.17.3.01pot
  47. Quinn, C. (2015). Training L2 writers to reference corpora as a self-correction tool. ELT Journal, 69(2), 165-177. https://doi.org/10.1093/elt/ccu062
  48. Reppen, R. (2010). Using Corpora in the Language Classroom. Cambridge: Cambridge University Press.
  49. Romer, U. (2011). Corpus research applications in second language teaching. Annual Review of Applied Linguistics, 31, 205-225. https://doi.org/10.1017/S0267190511000055
  50. Satake, Y. (2020). How error types affect the accuracy of L2 error correction with corpus use. Journal of Second Language Writing, 50, 100757.
  51. Schmidt, R. W. (1990). The role of consciousness in second language learning. Applied Linguistics, 11(2), 129-158. https://doi.org/10.1093/applin/11.2.129
  52. Smart, J. (2014). The role of guided induction in paper-based data-driven learning. ReCALL, 26(2), 184-201. https://doi.org/10.1017/S0958344014000081
  53. Taylor, L., & Barker, F. (2008). Using corpora for language assessment. In Hornberger, N. H. (Ed.), Encyclopedia of Language and Education (pp. 2377-2390). Boston, MA: Springer US.
  54. Tomlinson, B. (Ed.). (2013). Developing Materials for Language Teaching (2nd ed.). London: Bloomsbury.
  55. Tono, Y., Satake, Y., & Miura, A. (2014). The effects of using corpora on revision tasks in L2 writing with coded error feedback. ReCALL, 26(2), 147-162. https://doi.org/10.1017/S095834401400007X
  56. Yannakoudakis, H., Briscoe, T., & Medlock, B. (2011). A new dataset and method for automatically grading ESOL texts. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 180-189). Portland, OR: Association for Computational Linguistics.
  57. Yoon, H., & Jo, J. W. (2014). Direct and indirect access to corpora: An exploratory case study comparing students' error correction and learning strategy use in L2 writing. Language Learning & Technology, 18(1), 96-117.