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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References
Shermis, M.D., Burstein, J., Higgins, D., Zechner, K.: Automated essay scoring: writing assessment and instruction. In: International Encyclopedia of Education, 3rd edn., pp. 20–26 (2010)
Rubén, C.B.: Free-form writing: computerized feedback for self-correction. ELT J. Adv. 71(2), 141–149 (2016)
Bitchener, J.: Evidence in support of written corrective feedback. J. Second Lang. Writ. 17, 102–118 (2008)
Bitchener, J., Knoch, U.: The contribution of written corrective feedback to language development: a ten month investigation. Appl. Linguist. 31(2), 193–214 (2009)
Bitchener, J., Knoch, U.: Raising the linguistic accuracy level of advanced L2 writers with written corrective feedback. J. Second Lang. Writ. 19, 207–217 (2010)
Bitchener, J.: A reflection on ‘the language learning potential’ of written CF. J. Second Lang. Writ. 21, 348–363 (2012)
Ismail, St. Suwarsono, Lukito, A.: Critical thinking skills of junior high school female students with high mathematical skills in solving contextual and formal mathematical problems. In: The 2nd International Joint Conference on Science and Technology (IJCST) (2017)
Yuan, X.: On automated online essay scoring in Chinese EFL writing evaluation. In: 2014 International Conference on Artificial Intelligence and Software Engineering (AISE 2014) (2014)
Liao, H.C.: Enhancing the grammatical accuracy of EFL writing by using an AWE-assisted process approach. J. Syst. (2016). https://doi.org/10.1016/j.system.2016.02.007
Li, J.R., Link, S., Hegelheimer, V.: Review of research on technologies for language learning and teaching. J. Second Lang. Writ. 27, 1–18 (2015)
Yang, Y.: An empirical study on the effects of self-correction based on the “Pigai.org” on college EFL students’ writing proficiency. In: Proceedings of the Sixth Northeast Asia International Symposium on Language, Literature and Translation (2017)
Liu, X., Wang, Y.: An investigation on lexical richness developed by automatic essay scoring-based self-revision. In: Proceedings of the 2018 Northeast Asia International Symposium on Linguistics, Literature and Teaching (2018 NALLTS) (2018)
Li, H.: A study of college English writing based on “Pigai.org”—exemplified by Anshan Normal University. In: Proceedings of the 2018 Northeast Asia International Symposium on Linguistics, Literature and Teaching (2018 NALLTS) (2018)
Sun, B.Q., Hu, G.w., Curdt-Christiansen, X.L.: Metalinguistic contribution to writing competence: a study of monolingual children in China and bilingual children in Singapore. Read. Writ. 31(7), 1499–1523 (2018)
Shintani, N., Ellis, R.: The comparative effect of direct written corrective feedback and metalinguistic explanation on learners’ explicit and implicit knowledge of the English indefinite article. J. Second Lang. Writ. (2013). https://doi.org/10.1016/j.jslw.2013.03.011
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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.
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1.
What do you think about the current English writing level?
A. Good B. General C. Not good
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2.
Do you usually read some English magazines or English news to study English?
A. Yes B. No
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3.
Have you participated in other English tutoring classes besides the English class of college in 2019?
A. Yes B. No
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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
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5.
Which aspect do you think that you’ve made great progress after using “Pigai.org”?
A. Vocabulary B. Grammar C. Structure D. Content
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6.
Do you think it is helpful for you to revise your writing for multiple times?
A. Yes B. No
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7.
When you revise a composition based on feedback, do you consciously memorize vocabulary or grammar knowledge?
A. Yes B. A little C. No
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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
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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
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10.
What are your expectations for the future of “Pigai.org”?
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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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