"Inculcation of Generative AI tools in English Language Education: Preparing For The Future"
ABSTRACT This paper discusses AI integration in the English language education and its impact on the accumulation and improvising of the language in overall aspects of a learner. This paper investigates the impact of AI-driven tools such as Grammarly, ChatGPT, Microsoft Bing Chat, Duolingo on English language learning. These various tools help in the overall language learning processes such as speaking, writing, reading, and listening. The article addresses the significant gap in the learning and teaching of English education and the inculcation of AI driven tools such as hello talk Duolingo Google Gemini Grammarly twee etc has created a substantial change in the acquisition of language. The article discusses the use and inculcation of different generative AI tools in different aspects of language acquisition such as reading, writing and speaking. This paper focuses on AI generative tools and AI in enhancing the learning experience which showcases how the teaching and learning process has altered its course via Artificial Intelligence’s integration in the teaching sphere. The study aims to explore the effectiveness of AI driven tools in enhancing English acquisition, comprehension and fluency amongst the modern English learners. This paper focuses on the integration of AI in language learning and English education thoughtfully. However ethical considerations such as data privacy, data transparency and cultural contexts are duly noted. This review aims to highlight AI enriched learning that is ethical and aligns with the learners ethics while also addressing the existing limitations and challenges of AI’s integration in language learning. Keywords: Artificial Intelligence, English Language Learning, Language Proficiency, AI tools
Authors
- H R Kruthika
Institutions
- Bangalore University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-01
- DOI
- https://doi.org/10.5281/zenodo.18738717
- Primary Topic
- E-Learning and COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 0.00