The Use of AI in ESL/EFL Education: Challenges and Opportunities

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Language and Literacy Education".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 2064

Special Issue Editor


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Guest Editor
Institute of Applied English, National Taiwan Ocean University, Keelung City 20224, Taiwan
Interests: English for academic purposes; content- and language-integrated learning; English as a medium of instruction

Special Issue Information

Dear Colleagues,

AI has transformed English language learning and teaching, and has shown its potential for being a personalized tutor, editing texts, providing bidirectional translations between English and other languages, and summarizing academic articles. In terms of English language teaching, AI can help teachers design lesson plans, create language games, and design learning activities and worksheets. However, AI has also raised many concerns. For example, AI may encourage plagiarism and discourage creativity; English teachers may feel threatened that their teaching roles may be replaced by AI; and access to AI or a lack of it may cause inequality in learning, among other challenges. Therefore, this Special Issue addresses issues pertaining to AI in relation to ESL/EFL teaching and learning, exploring the challenges and opportunities of integrating AI into ESL/EFL teaching and learning from primary through tertiary levels. We encourage submissions that consider diverse language backgrounds and learner ages, as well as those that provide innovative perspectives and/or research methodologies. 

In this Special Issue, original research articles and reviews are welcome, and research areas may include, but are not limited to, the following topics:

  • AI and personalized learning;
  • AI applications in ESL/EFL teaching and learning;
  • AI plagiarism and other ethical concerns;
  • AI and teacher identity;
  • Stakeholders' perspectives on using AI in ESL/EFL teaching and learning;
  • AI and learner creativity and autonomy;
  • AI and language policy in ESL/EFL contexts;
  • AI and ESL/EFL teacher development. 

Dr. Ju-Chuan Huang
Guest Editor

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Keywords

  • English as a second language
  • English as a foreign language
  • AI
  • plagiarism
  • teacher identity
  • language policy
  • teacher development
  • AI literacy

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Published Papers (1 paper)

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Research

26 pages, 623 KB  
Article
AI-Assisted Learning Systems for Enhancing English as a Foreign Language Outcomes in Lebanese High Schools
by Amal EL Arid, Obada Al-Khatib, Rayan Osman, Ghalia Nassreddine and Abdallah EL Chakik
Educ. Sci. 2026, 16(4), 517; https://doi.org/10.3390/educsci16040517 - 26 Mar 2026
Viewed by 709
Abstract
The pedagogical efficacy of artificial intelligence (AI) technologies in education heavily depends on cultural, technological, and cognitive contexts. Prior studies examined AI-driven learning outcomes without accounting for cultural variability or sufficiently anchoring their analyses in robust theoretical frameworks. The current study discusses the [...] Read more.
The pedagogical efficacy of artificial intelligence (AI) technologies in education heavily depends on cultural, technological, and cognitive contexts. Prior studies examined AI-driven learning outcomes without accounting for cultural variability or sufficiently anchoring their analyses in robust theoretical frameworks. The current study discusses the interconnection between AI technologies, learner competencies, and educational outcomes, in addition to the significance of digital and media literacy in secondary foreign language teaching. It employs Hofstede’s cultural dimensions theory, the technology acceptance model, and sociocultural learning theory to examine how AI technologies affect learning outcomes of English as a foreign language among Lebanese high school students. One hundred and eighty high school students in Mount Lebanon were given a 20-item survey using a quantitative research design. The results were analyzed using statistical tests and analyses in SPSS version 27.0.1. The findings indicate that AI technologies significantly enhance student learning outcomes: affective and motivational outcomes (45%), social and collaborative competencies (35%), and English language proficiency (accounting for 43% of variance). Furthermore, these relationships are strongly moderated by digital and media literacy, which increases the beneficial effects of AI on learning outcomes. The findings also show that students’ opinions, engagement, and acceptance of AI-supported language learning are influenced by cultural traits. Full article
(This article belongs to the Special Issue The Use of AI in ESL/EFL Education: Challenges and Opportunities)
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