Jul 2026· Education and Social Work· Vol 5, pp. 80· 0 citations· 15 references
TL;DR
It is argued that teacher-AI collaboration not only improves the efficiency of writing feedback but also enables teachers to focus on students’ higher-order writing development, including content organization, logical thinking, and communicative competence.
Abstract
The increasing application of artificial intelligence (AI) in English writing instruction has brought significant changes to the way writing feedback is delivered. While AI-powered writing tools can efficiently identify language errors and provide immediate revision suggestions, effective writing instruction still depends on teachers’ professional guidance. Rather than replacing teachers, AI should be regarded as an instructional partner that supports the feedback process. From this perspective, teacher-AI collaborative feedback has become an important approach to improving writing teaching in senior high schools. Based on formative assessment theory and sociocultural theory, this paper discusses the necessity of teacher-AI collaboration in English writing instruction and proposes a collaborative feedback model that combines AI-generated language feedback with teachers' pedagogical guidance. It is argued that such collaboration not only improves the efficiency of writing feedback but also enables teachers to focus on students’ higher-order writing development, including content organization, logical thinking, and communicative competence. The paper further discusses the pedagogical implications of integrating AI into classroom writing instruction and emphasizes that teachers remain central to the learning process in the age of artificial intelligence.
It is argued that the thoughtful integration of AI feedback with teacher feedback, grounded in pedagogical principles and human judgment, can significantly enhance L2 writing instruction.
O. Jamoom, Saaid Ali Omar· Comprehensive Journal of Sci...· 0 citations
A teacher-student-AI coordination model for interactive-generative teaching is proposed that identifies three conditions under which AI support can become pedagogically meaningful and provides a course-level pathway for redesigning content, interaction, process, and assessment in Comprehensive English.
Sha Li, Yuheng Sun· Frontiers in Educational Res...· 0 citations
To address persistent problems in college English writing teaching, including low student motivation, delayed teacher feedback, insufficient individualized guidance, and single evaluation methods, this study develops a generative AI-enabled “inspiration-collaboration-internalization” teaching model. The model designs h...
Artificial intelligence is transforming English language teaching by introducing new possibilities for personalised instruction, automated feedback, conversational practice and learner-controlled language development. However, the integration of AI into English language teaching remains uneven, with existing research o...
K. Vijitha, Yogesh Babu Thunga· Journal of Advances in Devel...· 0 citations
To investigate AI use in undergraduate education and understand students' perceptions of its impact on their writing, two consecutive writing assignments that incorporated AI-assisted revisions in a large-enrollment general education course are designed and implemented.
Alexis R. Heather, Juliet Han, L. Tian· Frontiers in Education· 0 citations
Within a university writing instruction context, generative AI (gen AI) is changing how writing is learned, demonstrating positive impact potential through boosting learners’ motivation, automating instructional tasks, and offering instantaneous, personalised feedback. As a result, these are times of unprecedented oppo...
R. Donnelly, Ita Kennelly· Journal of Learning Developm...· 0 citations
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