The integration of social robots and artificial intelligence (AI) in educational settings presents a transformative opportunity to revolutionize English language learning. This manuscript explores the intersection of these technologies with language education, focusing on personalized learning, inclusivity, and equity. By leveraging AI and social robots, educators can create adaptive learning environments that cater to individual students’ needs, enhance critical thinking and problem-solving skills, and foster creativity in language acquisition. Key AI-driven technologies such as Natural Language Processing (NLP), Intelligent Tutoring Systems (ITS), Automated Writing Evaluation (AWE), and Automated Speech Recognition (ASR) are discussed, highlighting their role in facilitating interactive and personalized language learning experiences. The article demonstrates how these technologies not only enhance learning outcomes but also contribute to a more inclusive educational environment by accommodating diverse learning styles and linguistic backgrounds. Moreover, the manuscript identifies challenges such as the cost of implementation and ethical considerations surrounding data privacy, providing recommendations for their effective integration into language education.

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Revolutionizing English Language Learning Through Social Robots and Artificial Intelligence: Towards Inclusive and Personalized Education

  • Ela Luria

摘要

The integration of social robots and artificial intelligence (AI) in educational settings presents a transformative opportunity to revolutionize English language learning. This manuscript explores the intersection of these technologies with language education, focusing on personalized learning, inclusivity, and equity. By leveraging AI and social robots, educators can create adaptive learning environments that cater to individual students’ needs, enhance critical thinking and problem-solving skills, and foster creativity in language acquisition. Key AI-driven technologies such as Natural Language Processing (NLP), Intelligent Tutoring Systems (ITS), Automated Writing Evaluation (AWE), and Automated Speech Recognition (ASR) are discussed, highlighting their role in facilitating interactive and personalized language learning experiences. The article demonstrates how these technologies not only enhance learning outcomes but also contribute to a more inclusive educational environment by accommodating diverse learning styles and linguistic backgrounds. Moreover, the manuscript identifies challenges such as the cost of implementation and ethical considerations surrounding data privacy, providing recommendations for their effective integration into language education.