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Self-correction’s Effects on EFL Writing on Web-Based Automatic Writing Evaluation Platform

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e-Learning, e-Education, and Online Training (eLEOT 2019)

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Abstract

Recently, automatic writing evaluation (AWE) platform has been widely used in teaching English as a foreign language (EFL). It is popular in teaching of college EFL writing for its convenience and efficiency. “Pigai.org” is such an AWE platform with functions of automatic ranking, analyzing and giving advice on users’ English writing. This study aims to explore the influence of students’ writing behaviors based on “Pigai.org” on their writing scores. Firstly, a comparative analysis was conducted between times of submitting writing assignments for self-correction and the increases on scores. The analytical result show a positive correlation between times of self-correction and grade improvement. However, with submitting times increasing, phenomenon of language fossilization in self-correction appeared, which may result from metalinguistic awareness limitation. The result show that instant feedback and self-correction function on “Pigai.org” motivate the students to correct their compositions and improve their metalinguistic awareness.

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Author information

Authors and Affiliations

  1. School of Foreign Languages, Harbin University of Science and Technology, Harbin, 150080, China

    Fei Lang & Xinfei Yan

Authors
  1. Fei Lang
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  2. Xinfei Yan
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Corresponding author

Correspondence to Fei Lang .

Editor information

Editors and Affiliations

  1. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  2. Yunnan Normal University, Kunming, China

    Jianhou Gan

  3. Hunan Normal University, Hunan, China

    Shuai Liu

  4. Harbin University, Harbin, China

    Fei Lang

  5. Institute of Data Science, National Academy of Guo Ding, Harbin, China

    Zeguang Lu

Appendix

Appendix

Questionnaire

Thank you so much for taking the time to participate in this survey. All the results of the questionnaire are only for the research and they are strictly confidential, so please fill it in the truth.

  1. 1.

    What do you think about the current English writing level?

    A. Good B. General C. Not good

  2. 2.

    Do you usually read some English magazines or English news to study English?

    A. Yes B. No

  3. 3.

    Have you participated in other English tutoring classes besides the English class of college in 2019?

    A. Yes B. No

  4. 4.

    What are the reasons for constantly revising the composition?

    A. The desire for a satisfying score

    B. The desire for the improvement of English writing

    C. The instructor’s request

  5. 5.

    Which aspect do you think that you’ve made great progress after using “Pigai.org”?

    A. Vocabulary B. Grammar C. Structure D. Content

  6. 6.

    Do you think it is helpful for you to revise your writing for multiple times?

    A. Yes B. No

  7. 7.

    When you revise a composition based on feedback, do you consciously memorize vocabulary or grammar knowledge?

    A. Yes B. A little C. No

  8. 8.

    Will you make the same mistakes in writing after your repeated self-corrections on “Pigai.org”?

    A. Always will

    B. Will make the same mistakes for a few times, and then won’t

    C. Always won’t

  9. 9.

    What limitations for the self-correction online on “Pigai.org”?

    A. The evaluation criteria are too mechanized

    B. Suggestions are not detailed

    C. Some grammar mistakes are not recognized

    D. Little help for the structure and content

  10. 10.

    What are your expectations for the future of “Pigai.org”?

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lang, F., Yan, X. (2019). Self-correction’s Effects on EFL Writing on Web-Based Automatic Writing Evaluation Platform. In: Sun, G., Gan, J., Liu, S., Lang, F., Lu, Z. (eds) e-Learning, e-Education, and Online Training. eLEOT 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-35095-6_18

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  • DOI: https://doi.org/10.1007/978-3-030-35095-6_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35094-9

  • Online ISBN: 978-3-030-35095-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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