Journal of Ecohumanism 2024 Volume: 3, No: 8, pp. 8131 – 8142 ISSN: 2752-6798 (Print) | ISSN 2752-6801 (Online) https://ecohumanism.co.uk/joe/ecohumanism DOI: https://doi.org/10.62754/joe.v3i8.5427 8131 An Investigation of Higher Vocational Education EFL Teachers: Experiences and Challenges in Using AI for English Grammar Teaching and Learning Ling Zhang 1 , Lubna Ali Mohammed 2 , Awais Qasim 3 Abstract The emergence of large language models like Ernie Bot presents a promising opportunity to revolutionize the teaching and learning of English as a Foreign Language (EFL), particularly in the area of grammar. This study explores the perspectives of EFL instructors on integrating Ernie Bot into English grammar instruction. The research focused on experienced EFL teachers at Zhengzhou Institute of Technology, Henan, China, who have incorporated Ernie Bot into their writing courses. To gain a comprehensive understanding of their experiences, the study employed a mixed-methods approach. Online surveys provided quantitative data on teachers' overall impressions of Ernie Bot's usefulness, while structured interviews offered qualitative insights into their thoughts on integrating the tool into their writing lessons. The findings reveal a strong enthusiasm among EFL instructors at Zhengzhou Institute of Technology regarding the potential of Ernie Bot to enhance grammar instruction. However, the research also highlights the critical need for professional development programs to equip educators with the necessary knowledge and skills. By providing teachers with a thorough understanding of Ernie Bot's capabilities, limitations, and potential pitfalls, we can ensure its successful implementation and maximize its impact on student learning outcomes. Keywords: English Grammar Teaching and Learning Ernie Bot Experiences and ChallengesHigher Vocational Education EFL TeachersUsing AI. Introduction Problem Statement The study aims to explore the impact of higher vocational English teachers' use of AI to assist grammar teaching on the overall higher vocational English teaching area. It plays a crucial role in spurring the innovation of teaching concepts and methods. Educators can gain inspiration from the unique ways AI applies to grammar teaching. For instance, by leveraging multimedia resources, AI can present lively and appealing grammar interpretations, which is quite different from the old-fashioned and dull way of just explaining grammar rules. When other teachers learn from and put these new strategies into practice, they can diversify their teaching methods and make the teaching process more attractive and productive. Moreover, the valuable insights provided by this practice can aid in the reasonable allocation of educational resources. Educational institutions can make wiser decisions regarding the distribution of teaching materials, professional development opportunities, and technological equipment. This enables them to optimize resource utilization and boost the overall teaching quality across the higher vocational English teaching field. All these efforts contribute to the public education interest by raising the standard of English education in the vocational education sector and nurturing more competent English language users, thus having a beneficial effect on the advancement of vocational education and the cultivation of talents. Introduction For the last century or so, technological innovations have changed the way languages are learned and taught (Nguyen, 2021). In recent years, the inclusion of artificial intelligence (AI) systems into the educational practice has gained momentum. Studies in this area include the implementation of AI among the learners 1 Department of TESL, Faculty of Social Science Arts and Humanities, Lincoln University College, Malaysia. zhang.ling@lincoln.edu.my.ORCID ID: 0009-0001-6074-3338. 2 Department of TESL, Faculty of Social Science Arts and Humanities, Lincoln University College, Malaysia. lubnaali@lincoln.edu.my ORCID ID: 0000-0003-4570-774X. 3 Faculty of Managementt, Lincoln University College, Malaysia. aqasim@lincoln.edu.my. ORCID ID: 0000-0001-9914-3148.