Artificial intelligence has introduced new possibilities for academic writing instruction through immediate feedback, personalized language support, interactive revision, and assistance across different stages of the writing process. Generative artificial intelligence systems can identify linguistic and organizational weaknesses, explain academic conventions, offer revision questions, and provide examples suited to learners’ proficiency levels. Nevertheless, the educational value of such systems depends on how they are incorporated into teaching. Uncritical reliance on AI may reduce independent thinking, weaken authorial voice, generate inaccurate information, and create ethical concerns involving privacy, academic integrity, authorship, and equitable access. This conceptual paper examines the role of artificial intelligence in academic writing instruction, with particular attention to innovations in formative feedback and language development. It employs an integrative review methodology to analyse recent scholarship on generative AI, automated writing evaluation, second-language writing, feedback literacy, and AI-supported teaching. The discussion identifies major applications of AI in immediate feedback, individualized language instruction, writing-process support, feedback literacy, and teacher workload management. It also considers limitations involving inconsistent feedback, disciplinary inaccuracies, linguistic homogenization, cognitive dependence, and unequal technological access. The paper proposes a human-centred instructional framework in which AI-generated feedback is critically evaluated and supplemented by student judgment, teacher guidance, peer interaction, transparent acknowledgement, and reflective revision. It concludes that AI should not replace writing teachers or student authorship but should function as a supervised pedagogical resource that increases opportunities for practice, reflection, feedback, and academic language development.
K.Savitha, P. Kavinkumar· Stanzaleaf International Jou...· 0 citations
Artificial Intelligence is increasingly influencing the methods through which English is taught, practised, assessed, and learned. The emergence of generative AI, intelligent tutoring systems, automated writing evaluation, adaptive learning environments, conversational agents, speech-recognition applications, and AI-supported assessment has created opportunities to move beyond uniform teacher-centred instruction towards more personalized, interactive, feedback-rich, and learner-responsive approaches. This conceptual research paper examines how Artificial Intelligence is redefining teaching methods in English language learning and how such changes may influence student performance. The study adopts an integrative literature review and conceptual analysis of recent scholarship on AI-assisted language learning, generative AI, automated feedback, academic writing, learner autonomy, personalized instruction, and digital pedagogy. Particular attention is given to changes in teaching strategies, including differentiated instruction, AI-supported conversation, adaptive language practice, automated formative feedback, process-oriented writing instruction, and data-informed assessment. The paper distinguishes between performance enhancement, in which AI improves the immediate quality or speed of task completion, and learning improvement, in which learners demonstrate transferable language competence without technological dependence. Evidence from recent empirical research indicates that structured AI-supported instruction can improve academic writing performance and support English proficiency and self-regulation. However, excessive dependence may reduce cognitive engagement, originality, and independent problem-solving, and authentic human interaction. The paper proposes the PERFORM-AI Framework, which integrates personalization, engagement, responsive feedback, formative assessment, originality, reflective learning, monitored AI use, and independent transfer. It concludes that the most effective model for English language learning is not AI replacing teachers but an instructional partnership in which teachers redesign pedagogy, AI extends opportunities for individualized practice and feedback, and students remain active agents responsible for their own learning.
C. Shabharishwaran, Mr. P. Kavinkumar, Mr B.Manojkumar· Stanzaleaf International Jou...· 0 citations
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