Effects of AI-Generated Direct and Metalinguistic Written Corrective Feedback on Grammatical Accuracy: Evidence from the English Passive Causative

نوع مقاله : مقاله پژوهشی

نویسندگان

1 Assistant Professor, Department of English Language and Literature, Faculty of Literature and Humanities, Lorestan University, Khoramabad, Iran.

2 Assistant Professor, Department of Persian Language and Literature Education, Farhangian University, Tehran, Iran.

3 Associate Professor, Department of Foreign Languages, Educational Research and Planning Organization, Tehran, Iran.

چکیده

The growing use of artificial intelligence (AI) in second language writing has increased interest in AI-generated written corrective feedback; however, little is known about how different feedback types influence the retention of grammatical knowledge over time. Grounded in form-focused instruction and written corrective feedback research, this study examined the effects of AI-generated corrective feedback and metalinguistic feedback on EFL learners’ sentence-level grammatical accuracy. Fifty-eight university students were assigned to two feedback conditions, and their accuracy was assessed through a pretest, immediate posttest, and delayed posttest targeting the English passive causative construction. Both feedback types produced substantial improvements in grammatical accuracy on the immediate posttest. However, learners who received AI-generated metalinguistic feedback maintained higher accuracy on the delayed posttest than those receiving direct corrective feedback, indicating different developmental trajectories. These findings highlight the importance of feedback explicitness in AI-mediated grammar instruction and offer pedagogical implications for integrating AI into writing instruction.

کلیدواژه‌ها


عنوان مقاله [English]

Effects of AI-Generated Direct and Metalinguistic Written Corrective Feedback on Grammatical Accuracy: Evidence from the English Passive Causative

نویسندگان [English]

  • Nargess Nourizadeh 1
  • Amir Valadi 2
  • Behnam Alavi Moghaddam 3
1 Assistant Professor, Department of English Language and Literature, Faculty of Literature and Humanities, Lorestan University, Khoramabad, Iran.
2 Assistant Professor, Department of Persian Language and Literature Education, Farhangian University, Tehran, Iran.
3 Associate Professor, Department of Foreign Languages, Educational Research and Planning Organization, Tehran, Iran.
چکیده [English]

The growing use of artificial intelligence (AI) in second language writing has increased interest in AI-generated written corrective feedback; however, little is known about how different feedback types influence the retention of grammatical knowledge over time. Grounded in form-focused instruction and written corrective feedback research, this study examined the effects of AI-generated corrective feedback and metalinguistic feedback on EFL learners’ sentence-level grammatical accuracy. Fifty-eight university students were assigned to two feedback conditions, and their accuracy was assessed through a pretest, immediate posttest, and delayed posttest targeting the English passive causative construction. Both feedback types produced substantial improvements in grammatical accuracy on the immediate posttest. However, learners who received AI-generated metalinguistic feedback maintained higher accuracy on the delayed posttest than those receiving direct corrective feedback, indicating different developmental trajectories. These findings highlight the importance of feedback explicitness in AI-mediated grammar instruction and offer pedagogical implications for integrating AI into writing instruction.

کلیدواژه‌ها [English]

  • Written Corrective Feedback
  • Direct feedback
  • Metalinguistic feedback
  • Artificial Intelligence
  • Passive causative
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