Unveiling AI's Accent in Spoken English Education
- 1 Nanjing University
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Abstract
Viewed against the backdrop of the technological landscape, artificial intelligence has become the shining point of the 21st century. In recent years, AI has been pervasively applied into various realms in modern society, among which the incorporation into spoken English education has become one of the most heated topics. To navigate the application of AI in spoken English learning, this paper evaluates the effectiveness based on the Interaction Hypothesis proposed by Michael Long. To be specific, this research focuses on the comprehensive application of AI in the realm of spoken English acquisition, underscoring why AI language models have gained in popularity in innumerable apps concerning language learning and how AI serves as a double-edged sword in spoken English education. By illustrating the language acquisition process, a strong connection between the Interaction Hypothesis and AI-based spoken English learning is constructed and clarified. Through all-round evaluation and analysis, the article concludes that despite challenges, AI has not only acted as a knowledgeable mentor for individual learners,but also provided an effective driving force for the innovation and improvement of spoken English education. In the future, more advancements concerning human-like interactions and immersive learning environment are likely to emerge.
Keywords
Spoken English education, AI language model, second language acquisition, language learning application
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Cite this article
Jiang,X. (2024). Unveiling AI's Accent in Spoken English Education. Lecture Notes in Education Psychology and Public Media,57,140-144.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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