Enhancing Online English Teaching and Learning of Speaking in Libya through Artificial Intelligence (AI)

Authors

  • Hoda Alalim Altaher Bakori Department of English Language, Faculty of Education, Traghen University of Fezzan, Murzk, Libya Author
  • Abdulrahman Ahmed Hamza Ahmed Department of English Language, Faculty of Arts, University of Sebha, Sebha, Libya Author

DOI:

https://doi.org/10.58916/jhas.v10i4.990

Keywords:

Adaptive learning platforms, artificial intelligence (AI), intelligent tutoring systems, student performance, speaking skills

Abstract

The rapid evolution of Artificial Intelligence (AI) has profoundly impacted education worldwide, offering innovative tools and approaches to enhance teaching and learning experiences. In non-native English-speaking countries such as Libya, where traditional language instruction faces challenges such as limited resources, teacher shortages, and inconsistent methodologies, AI presents an opportunity to transform English language teaching and learning. This paper explores the integration of AI in online English teaching and learning in Libya, highlighting its potential to bridge gaps in language acquisition and foster learner autonomy. The study focuses on the intersection of online education and AI-driven solutions, including intelligent tutoring systems, adaptive learning platforms, natural language processing (NLP)-based tools, and automated assessment technologies. These AI applications are particularly valuable in addressing Libyan learners' linguistic and cultural nuances, offering personalized feedback, real-time language correction, and access to rich, contextualized content. Furthermore, AI can support educators by automating administrative tasks, generating tailored lesson plans, and providing data-driven insights into student performance. This paper argues for a strategic framework to integrate AI in Libyan online English language education, emphasizing teacher training, localized content development, and ethical considerations. By leveraging AI effectively, Libya can not only enhance English proficiency among its learners but also contribute to the broader global discourse on AI in education. The findings of this study provide valuable insights for policymakers, educators, and technology developers aiming to harness AI for English language teaching in non-native contexts. This paper also invites further dialogue on the role of AI in reshaping the future of language education in resource-limited settings.

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Published

2025-10-14

How to Cite

Hoda Alalim Altaher Bakori, & Abdulrahman Ahmed Hamza Ahmed. (2025). Enhancing Online English Teaching and Learning of Speaking in Libya through Artificial Intelligence (AI). Bani Waleed University Journal of Humanities and Applied Sciences, 10(4), 442-453. https://doi.org/10.58916/jhas.v10i4.990

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