人工智能在大学生英语学习中的个性化应用
DOI:
https://doi.org/10.62177/aper.v1i3.427关键词:
人工智能, 大学英语, 个性化学习, 学习进度, 兴趣图谱摘要
人工智能技术通过整合信息驱动机制与学习进度跟踪，为大学英语学习构建了个性化新范式，在此背景，本研究聚焦于自然语言处理学习分析及自适应系统等AI技术，深入解析AI技术在大学生英语学习个性化学习过程中的具体实践路径，这些路径具体体现在：1)通过每位同学的动态学习档案，实时监测学生能力短板，优化学习路径；2)根据学生在线学习行为数据分析，设计主题任务，构建兴趣图谱，增强学生语言学习兴趣；3)建立短期适配结合长期规划和游戏化激励的多元学习机制，以平衡语言学习认知负荷，增强学生学习动机。本研究主要采用了深度案例分析为主的定性研究方法和实验设计为主的定量研究方法相结合的综合研究法。研究结果显示人工智能的引入，能够显著提升学生在线上及课堂场景中的英语学习投入度，增强学生语言学习内在驱动力，从而在真正意义上实现“因材施教”,构建以兴趣为导向的高校公共英语教育。
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Copyright (c) 2025 龚晓芳
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Accepted: 2025-06-16
Published: 2025-07-07
