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Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching

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International Conference on Neural Computing for Advanced Applications (NCAA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1870))

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Abstract

This paper aims to explore the effective mode of computer-assisted corrective feedback applied to foreign language teaching. Through experimental design, it focuses on the corrective effects of different feedback methods, including immediate effects and delayed effects. The results of statistical analysis show that written corrective feedback is generally effective, indicating that corrective feedback as a teaching method can promote foreign language learning; and that the effect of metalinguistic corrective feedback is the best, indicating that the effect of corrective feedback is basically positively correlated the degree of dominance of the feedback method; and that the effect of test time on the effectiveness of corrective feedback is negatively correlated with the degree of dominance of the feedback method. The methods and findings of this study can provide a reference for further research on second language grammar acquisition in the computer communication environment.

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Acknowledgments

The work was substantially supported by The Anhui Education Bureau 2023 Social Science Fund for Higher Education, Lingjiatan Culture Translation and Communication Strategy Research from the Perspective of Convergence Media and by The Anhui Education Bureau 2021 Education and Teaching Research Project, A Study on the Development of Intercultural Foreign Language Teaching Competence of Applied Undergraduate Teachers Based on Community of Practice.

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Authors and Affiliations

  1. School of Foreign Languages, Chaohu University, Hefei, 238024, China

    Jie Xu

  2. Centre for Digital Humanities and Intercultural Communication, Chaohu University, Hefei, 238024, China

    Jie Xu

Authors
  1. Jie Xu
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Correspondence to Jie Xu .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  2. Chaohu University, Hefei, China

    Yinggen Ke

  3. Chongqing University, Chongqing, China

    Zhou Wu

  4. South China Normal University, Guangzhou, China

    Tianyong Hao

  5. Hefei University of Technology, Hefei, China

    Zhao Zhang

  6. Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  7. Chaohu University, Hefei, China

    Yuanyuan Mu

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Xu, J. (2023). Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching. In: Zhang, H., et al. International Conference on Neural Computing for Advanced Applications. NCAA 2023. Communications in Computer and Information Science, vol 1870. Springer, Singapore. https://doi.org/10.1007/978-981-99-5847-4_33

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  • DOI: https://doi.org/10.1007/978-981-99-5847-4_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5846-7

  • Online ISBN: 978-981-99-5847-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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