人工智能增强语言教育的研究观点和趋势:一篇综述
Heliyon
|October 17, 2024
概括
人工智能 (AI) 显著影响语言教育,但评论往往忽略了它的多学科性质. 未来的研究应该加强跨学科合作和个性化学习的经验研究.
科学领域:
- 教育 技术 技术 教育 技术
- 人工智能的人工智能
- 应用语言学 应用语言学
背景情况:
- 人工智能 (AI) 的整合正在全球范围内改变语言教育.
- 现有的审查缺乏对人工智能增强的语言学习的全面,多学科的观点.
- 需要进行全面的审查,以解决研究领域的碎片化问题.
研究的目的:
- 对人工智能增强的语言教育研究进行全面审查.
- 识别主要的研究观点和新兴趋势.
- 突出差距,并建议未来的研究方向.
主要方法:
- 系统的文献综述来自Web of Science的812篇文章.
- 使用CiteSpace软件进行图书统计分析.
- 对研究前景和重点领域进行主题分析.
主要成果:
- 研究主要来自计算机科学,语言学和心理学.
- 个性化语言教育的发展和人与计算机的互动仍然不发达.
- 研究过度强调AI的优势,对具体挑战的经验调查不足.
结论:
- 未来的研究应该促进跨学科的合作.
- 专注于个性化的语言教育和加强经验研究至关重要.
- 解决人工智能的局限性和增强人机交互是教育改革的关键.
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