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An Evolutionary Study of the Impact of Artificial Intelligence Technology on Foreign Language Education

International journal of emerging technologies in learning, 2023-10, Vol.18 (19), p.190-204 [Peer Reviewed Journal]

2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1863-0383 ;EISSN: 1863-0383 ;DOI: 10.3991/ijet.v18i19.43821

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  • Title:
    An Evolutionary Study of the Impact of Artificial Intelligence Technology on Foreign Language Education
  • Author: Liang, Tianzhu ; Duarte, Nelson ; Yue, Gabriel Xiao-Guang
  • Subjects: Artificial intelligence ; Educational technology ; Foreign language instruction ; Second language instruction
  • Is Part Of: International journal of emerging technologies in learning, 2023-10, Vol.18 (19), p.190-204
  • Description: This study investigates the evolutionary impact of applying artificial intelligence (AI) technology to foreign language education. By employing complex systems thinking, the relationship between foreign language education and AI technology is explored, and dynamic models are employed to analyze the evolutionary patterns of AI technology in foreign language education. Through model analysis and numerical simulations, the interactive effects between foreign language education and AI technology in different modes are revealed. The findings demonstrate that, under different coupling modes, foreign language education and AI technology can achieve self-organizing evolution. When the interaction coefficient between foreign language education and AI technology is appropriately set, AI technology exhibits emergent properties for foreign language education. Lastly, suggestions are presented to promote the sound development of foreign language education and AI technology.
  • Publisher: Vienna: International Association of Online Engineering (IAOE)
  • Language: English
  • Identifier: ISSN: 1863-0383
    EISSN: 1863-0383
    DOI: 10.3991/ijet.v18i19.43821
  • Source: Alma/SFX Local Collection
    ProQuest Central
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