Integration of Artificial Intelligence in Teaching English as a Foreign Language: A Systematic Review
Abstract
Introduction: The integration of artificial intelligence (AI) into the teaching and learning of English as foreign language (EFL) is rapidly transforming pedagogical practices by enabling more personalized, efficient, and engaging teaching-learning experiences.
Objective: to analyze the integration of artificial intelligence (AI) in teaching English as a foreign language.
Methods: A literature review of recent scientific studies on the integration of AI in EFL was conducted. A total of 35 research papers were initially identified through databases such as Google Scholar, Scopus, and Web of Science; after applying inclusion and exclusion criteria, 22 relevant and updated studies published between 2020 and 2025 were selected for analysis.
Development: Findings demonstrated that AI tools improve professors’ efficiency in lesson design, assessment, and giving feedback, favoring language acquisition by supporting individualized learning, fostering student motivation.
Conclusions: The evidence indicated that AI can significantly optimize the teaching-learning process of English as a foreign language. When combined with teachers’ pedagogical expertise the outcomes of the teaching -learning process is enhanced to meet contemporary educational demands.
Keywords: Generative artificial inteligence; Information Technology; Adaptive Learning; Blended Education; language Teaching; Teachers; Educational Assesment; Motivation; Student Participation.
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