AI-Powered Personalized English Teaching for Primary Students: Strategies and Outcomes
Keywords:
Artificial Intelligence, Personalised Learning, English Teaching, Primary Education, Adaptive LearningAbstract
Personalised teaching has emerged as a transformative approach in modern English language instruction, with AI technologies playing an increasingly pivotal role. The present study investigates the application of AI in the development of personalised English teaching strategies for primary students, thus addressing the growing need for adaptive and individualised learning solutions. The present study employs a mixed-methods approach, combining data analysis from AI-powered platforms with qualitative insights from interviews with educators. The findings of the study demonstrate that AI-driven personalisation significantly improves student engagement, language acquisition, and cognitive development in English learning. These findings contribute to both theoretical advancements in language education and practical applications of AI in pedagogical settings. The study concludes with the presentation of evidence-based recommendations for the optimisation of AI integration in personalised English instruction. These recommendations are twofold, namely that educational equity should be AI-enabled and that student welfare should be safeguarded. This research is of particular significance for the advancement of modern language teaching methodologies in the era of intelligent education.
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