A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022

ReCALL Pub Date : 2024-02-26 DOI:10.1017/s0958344024000077
Galip Kartal, Yusuf Emre Yeşilyurt
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Abstract

This study offers a comprehensive bibliometric analysis of artificial intelligence (AI) applications in the field of second language (L2) teaching and applied linguistics, spanning from the early developments in 1995 to 2022. It aims to uncover current trends, prominent themes, and influential authors, documents, and sources. A total of 185 relevant articles published in Social Sciences Citation Index (SSCI) indexed journals were analyzed using the VOSviewer bibliometric software tool. Our investigation reveals a highly multidisciplinary and interconnected field, with four main clusters identified: AI, natural language processing (NLP), robot-assisted language learning, and chatbots. Notable themes include the increasing use of intelligent tutoring systems, the importance of syntactic complexity and vocabulary in L2 learning, and the exploration of robots and gamification in language education. The study also highlights the potential of NLP and AI technologies to enhance personalized feedback and instruction for language learners. The findings emphasize the growing interest in AI applications in L2 teaching and applied linguistics, as well as the need for continued research to advance the field and improve language instruction and assessment. By providing a quantitative and rigorous overview of the literature, this study contributes valuable insights into the current state of research in AI-assisted L2 teaching and applied linguistics and identifies key areas for future exploration and development.
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1995 年至 2022 年人工智能在语言教学和应用语言学中的文献计量分析
本研究对人工智能(AI)在第二语言(L2)教学和应用语言学领域的应用进行了全面的文献计量分析,时间跨度从 1995 年的早期发展到 2022 年。分析旨在揭示当前趋势、突出主题以及有影响力的作者、文献和资料来源。我们使用 VOSviewer 文献计量软件工具对社会科学引文索引(SSCI)收录期刊上发表的 185 篇相关文章进行了分析。我们的调查揭示了一个高度多学科和相互关联的领域,并确定了四个主要集群:人工智能、自然语言处理(NLP)、机器人辅助语言学习和聊天机器人。值得注意的主题包括:智能辅导系统的使用日益增多、句法复杂性和词汇在 L2 学习中的重要性,以及在语言教育中对机器人和游戏化的探索。研究还强调了 NLP 和 AI 技术在加强对语言学习者的个性化反馈和指导方面的潜力。研究结果强调了人们对人工智能在第二语言教学和应用语言学中的应用日益增长的兴趣,以及继续开展研究以推动该领域发展并改进语言教学和评估的必要性。通过对文献进行定量和严谨的概述,本研究对人工智能辅助 L2 教学和应用语言学的研究现状提出了宝贵的见解,并确定了未来探索和发展的关键领域。
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