探索GenAI在个性化英语教学中的潜力:学习者的经验和看法

Q1 Social Sciences Computers and Education Artificial Intelligence Pub Date : 2025-06-01 Epub Date: 2025-01-20 DOI:10.1016/j.caeai.2025.100371
Lucas Kohnke , Di Zou , Fan Su
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引用次数: 0

摘要

人工智能已经无缝集成到个人、专业和教育领域。尤其是生成式人工智能(GenAI),通过先进的机器学习模型,正在彻底改变第二语言(L2)写作教学中的内容创作。本研究考察了GenAI对第二语言学习者语言能力的影响,重点关注一年级学术英语学生常用的工具。通过定性和定量分析,包括调查和访谈,本研究探讨了学生对GenAI工具的体验和看法,包括Grammarly和Quillbot。调查结果显示,三分之二(66.7%)的学生经常使用这些工具,他们发现这些工具对提高语法、写作、词汇和阅读技能特别有帮助。采访结果表明,学生们对GenAI工具提供的个性化反馈和创造性支持表示赞赏,尽管他们也承认不相关的反馈和潜在的过度依赖等风险。我们建议,虽然GenAI工具通过提供个性化和适应性支持来增强语言学习,但它们应该补充而不是取代传统方法。我们的研究结果强调了教育工作者的专业发展和建立指导方针的必要性,以解决学术诚信和数据隐私问题。
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Exploring the potential of GenAI for personalised English teaching: Learners' experiences and perceptions
Artificial intelligence has become seamlessly integrated into personal, professional, and educational spheres. Generative AI (GenAI), in particular, is revolutionising content creation in second language (L2) writing instruction through advanced machine learning models. This study examines the influence of GenAI on L2 learners' language competencies, focusing on tools commonly used by first-year English for Academic Purposes students. Through qualitative and quantitative analysis, including surveys and interviews, this research explored students’ experiences and perceptions of GenAI tools, including Grammarly and Quillbot. The findings revealed that two-thirds of the students (66.7%) regularly used these tools, which they found particularly helpful for improving grammar, writing, vocabulary, and reading skills. Interview insights indicated that the students appreciated the personalised feedback and creative support provided by GenAI tools, although they also acknowledged risks such as irrelevant feedback and potential overreliance. We suggest that while GenAI tools enhance language learning by providing personalised and adaptive support, they should complement rather than replace traditional methods. Our results underscore the need for professional development for educators and the establishment of guidelines to address academic integrity and data privacy.
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来源期刊
CiteScore
16.80
自引率
0.00%
发文量
66
审稿时长
50 days
期刊最新文献
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