A Bibliometric Analysis of Artificial Intelligence Chatbots in Language Education

Wenting Liu, Yupeng Lin, Zhonggen Yu
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Abstract

Chatbots in language education demonstrate promising potential. This study identifies their developmental paths, recent designs, and primary application contexts through a bibliometric and visualization analysis. We find that artificial intelligence chatbots in language education have gained avid interest in recent years due to technological advancements and growing social attention. Research demonstrates an interdisciplinary trend, and integrating various technologies has improved chatbot effectiveness in education. This study identifies popular research issues on chatbots in language education, such as students’ perceptions, effectiveness evaluation, and technological upgrades. Additionally, we find various roles and functions of chatbots in specific language education domains characterized by learning content, strategies, and contexts. This study establishes its significance by summarizing and discussing the effects of artificial intelligence chatbots from a language education perspective. We propose a model for chatbot applications and research in language education that connects technological and pedagogical aspects, which can be extended and validated to broaden future research empirically.
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人工智能聊天机器人在语言教育中的文献计量分析
聊天机器人在语言教育中的应用前景广阔。本研究通过文献计量学和可视化分析,确定了它们的发展路径、最新设计和主要应用环境。我们发现,近年来,由于技术进步和社会关注度的不断提高,人工智能聊天机器人在语言教育中的应用获得了极大的关注。研究表明,跨学科趋势和各种技术的整合提高了聊天机器人在教育中的有效性。本研究确定了语言教育中聊天机器人的热门研究课题,如学生认知、效果评估和技术升级。此外,我们还发现了聊天机器人在特定语言教育领域中的各种作用和功能,这些领域的特点是学习内容、策略和情境。本研究从语言教育的角度总结和讨论了人工智能聊天机器人的效果,从而确立了本研究的意义。我们为聊天机器人在语言教育中的应用和研究提出了一个模型,该模型将技术和教学方面联系在一起,可以对其进行扩展和验证,以扩大未来的实证研究。
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