The Impact of Automated Writing Evaluation on Iranian EFL Learners’ Essay Writing: A Mixed-Methods Study
الموضوعات :
Reza Bagheri
1
,
Roya Mohammadi Yeganeh
2
1 - Department of English Language and Literature, University of Qom
2 - Department of English Language and Literature, University of Qom
الکلمات المفتاحية: automated writing evaluation, essay writing, mixed-methods study, process writing ,
ملخص المقالة :
While writing skill is extensively studied in EFL contexts, more in-depth research is needed to explore how technology can assist its pedagogy. The present study aimed to investigate the impact of using an automated writing evaluation on Iranian EFL learners’ essay writing. Learning how to reduce errors (in an EFL context) by being corrected at the moment and being exposed to different examples regarding that error in the learners’ new texts through automated writing evaluation (AWE) tends to be the significance of this study. To this end, 50 Iranian EFL learners who were studying at the University of Qom, were randomly chosen. The sample included 25 females and 25 males, whose ages ranged from 19 to 25. The participants were given a pre-test before using AWE software. They were given a topic to write about as a pre-test. After the treatment, an IELTS Task 2 was utilized as a posttest. The IELTS writing band descriptors were used to evaluate the writings. The ANCOVA results showed a remarkable improvement in the essay writing of the EFL learners using an AWE software (i.e., Grammarly). The analysis of interview data revealed that the learners were more enthusiastic about using the AWE feedback because they were corrected while they were writing their essays. Since AWE is discovered to be a helpful device to promote learners’ writing skills, students would also be inspired to become associated with such online learning environments and utilize them earnestly and productively. This research also discovered the learners who got feedback from the AWE device got more prosperous but they also started to ask their teacher to provide more feedback to have AWE feedback and traditional feedback combined. The findings have implications for language teachers, material developers, and curriculum designers.
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