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AI in English Language Teaching: Affordances and Challenges Explored
The study conducted by Helen Crompton and colleagues explores the integration of Artificial Intelligence (AI) in English Language Teaching and Learning (ELT/L). They employ a systematic review to assess the affordances and challenges of AI applications across different educational levels and geographical contexts. AI shows potential in enhancing English language skills, particularly in non-native-speaking regions, with significant research focused on Asia.
AI’s capabilities extend to supporting various language skills including speaking, writing, and reading. Tools like voice assistants and intelligent tutoring systems offer practical exercises and feedback, helping learners practice pronunciation, grammar, and vocabulary. Despite the advancements, challenges persist, including technological breakdowns, fear of AI, limited capabilities, and the potential for AI to standardize language use, possibly suppressing linguistic diversity.
The implications of AI in ELT/L are significant for educational practices. AI offers innovative tools for personalized learning, but it also requires careful implementation to ensure it supports diverse learning needs without reinforcing biases. Educators and policymakers must consider these dynamics to harness AI’s benefits while mitigating its limitations. This study highlights the importance of ongoing research to adapt AI tools effectively in educational settings, ensuring they meet the evolving demands of language education.
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