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基于人工智能的高校英语个性化学习路径研究 被引量:1

AI-Driven Personalized Learning Pathways in College English Education
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摘要 随着人工智能技术的迅猛发展,其在教育领域的应用价值日益凸显,特别是破解了传统教育的“不可能三角”。研究结合C大学外语教学部的实际教学案例,旨在探讨生成式语言大模型智能技术在大学英语个性化教学中的应用前景、技术优势及潜在局限。研究表明,AI技术能够显著提升高校英语教学的个性化水平,以此来提示整体教学质量。通过对话辅导、口语陪练、阅读理解、作业批改等功能,AI技术为学生提供了更加个性化的学习环境。然而,技术应用过程中需关注数据隐私保护、算法伦理规范及技术工具与教育本质的平衡。科学运用AI技术将有效促进高校英语教学的个性化水平与整体教学质量的双提升。本研究为高校英语个性化教学实践和研究提供参考。 With the rapid advancement of AI,its educational value has become increasingly prominent,particularly in resolving the"Impossible Trinity"dilemma of traditional education.Drawing on teaching cases from the Foreign Language Department at C University,this study investigates the applications,advantages,and limitations of generative large language models(LLMs)in personalized college English instruction.Findings reveal that AI technology significantly enhances personalization and overall teaching quality through functions including dialogic tutoring,conversational practice,reading comprehension support,and automated grading.While providing tailored learning environments,three critical considerations emerge:Data privacy compliance with educational regulations;algorithmic governance in pedagogical contexts;balancing technological tools with educational essence;scientific implementation of AI can effectively achieve dual improvement in personalization and teaching efficacy.
作者 王琪 Wang Qi(Henan Judicial Police Vocational College,Zhengzhou 450000,China)
出处 《湖北成人教育学院学报》 2025年第4期63-68,共6页 Journal of Hubei Adult Education Institute
关键词 人工智能 个性化教学 大学英语 智能评估 虚拟助教 AI personalized instruction college English intelligent assessment virtual teaching assistant
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