In today's interconnected world, English language education has become essential for personal growth, professional development, and international communication. As a globally used language, English enables learners with another native language to communicate effectively with people from other countries, participating fully and benefiting from international activities or projects.
The integration of technology in language education has shown promising results, particularly with the use of Large Language Models (LLMs). These models have demonstrated good performance on human-level text generations and related tasks, making them an attractive tool for educators seeking to enhance learning outcomes. LLMs have been used in intelligent tutoring systems, chatbots, and other educational tools, providing personalized learning support and promoting engagement and motivation.
However, research also highlights the limitations of LLMs in improving English as a Foreign Language (EFL) education, including the provision of superficial or incorrect feedback and the lack of differentiated investigation on samples with different ages and education levels. The use of LLMs has raised questions about their potential impact on learners' motivation and engagement, and there is a need for more research to better understand their strengths and weaknesses in EFL education.
Despite these challenges, the future of Large Language Models in education remains uncertain but promising, with the potential to create a more effective and engaging learning environment for all learners.
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