Chunk reading strategy training improves multiword processing by Japanese English learners

被引:0
作者
Kosaka, Takumi [1 ]
Zhao, Helen [1 ]
机构
[1] Univ Melbourne, Sch Languages & Linguist, Parkville, Vic 3010, Australia
关键词
Chunk-and-Pass model; chunk reading strategy training; construction grammar; multiword processing; second language; ACQUISITION; PSYTOOLKIT; LANGUAGE; POWER;
D O I
10.1075/aral.24019.kos
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
The Chunk-and-Pass model suggests that language acquisition involves learning to appropriately chunk language input into multiword sequences and to form more abstract linguistic representations. While the theoretical model has gained widespread attention in the language sciences, there are limited studies that adopt this model, particularly in the context of second language (L2) learning and teaching research. This study examines the effects of Chunk Reading Strategy Training (CRST), which was developed based on the model, on multiword processing in low-proficiency Japanese learners of English. A treatment group received CRST, while a control group underwent standard block-format reading training. A phrasal decision test assessed online multiword processing at pretest, posttest, and delayed posttest stages. The results indicated improvement in response times post-intervention for the treatment group, and only in the delayed posttest for the control group. This study, therefore, discusses the theoretical implications and limitations of CRST.
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页数:34
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共 54 条
  • [41] Ortega L., Understanding second language acquisition, (2014)
  • [42] Park Y., Warschauer M., Syntactic enhancement and second language literacy: An experimental study, Language Learning & Technology, 20, 3, pp. 180-199, (2016)
  • [43] Park Y., Xu Y., Collins P., Farkas G., Warschauer M., Scaffolding learning of language structures with visual-syntactic text formatting, British Journal of Educational Technology, 50, 4, pp. 1896-1912, (2019)
  • [44] R: A language and environment for statistical computing (Version 4.3.1) [Computer software], (2023)
  • [45] Saito K., Hanzawa K., Petrova K., Kachlicka M., Suzukida Y., Tierney A., Incidental and multimodal high variability phonetic training: Potential, limits, and future directions, Language Learning, 72, 4, pp. 1049-1091, (2022)
  • [46] Stoet G., PsyToolkit: A software package for programming psychological experiments using Linux, Behavior research methods, 42, 4, pp. 1096-1104, (2010)
  • [47] Stoet G., PsyToolkit: A novel web-based method for running online questionnaires and reaction-time experiments, Teaching of Psychology, 44, 1, pp. 24-31, (2017)
  • [48] Tate T.P., Collins P., Xu Y., Yau J.C., Krishnan J., Prado Y., Warschauer M., Visual-syntactic text format: Improving adolescent literacy, Scientific Studies of Reading, 23, 4, pp. 287-304, (2019)
  • [49] Tomasello M., Constructing a language: A usage-based theory of language acquisition, (2003)
  • [50] Treffers-Daller J., Calude A., The role of statistical learning in the acquisition of motion event construal in a second language, International Journal of Bilingual Education and Bilingualism, 18, 5, pp. 602-623, (2015)