创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (7): 169-172.

• 创新方法 • 上一篇    下一篇

人工智能技术驱动的大学英语个性化学习研究

马瑞贤, 张亚敏, 田秀峰   

  1. 河北金融学院 外语教育教学部,河北保定 071051
  • 出版日期:2025-04-10 发布日期:2025-06-03
  • 作者简介:马瑞贤(1982—),女,河北安新人,博士研究生,教授,研究方向:语言教育、语言服务。
  • 基金资助:
    2024年河北金融学院“一院一品”教学改革研究与实践专项“基于‘四维四度'联动协同的大学英语教育创新发展研究”(2024YYYP14)

Research on AI-Driven Personalized College English Learning

MA Ruixian, ZHANG Yamin, TIAN Xiufeng   

  1. Department of Foreign Language Education and Teaching, Hebei Finance University, Baoding Hebei, 071051, China
  • Online:2025-04-10 Published:2025-06-03

摘要: 随着数智技术的快速发展,人工智能技术在教育领域的应用日益广泛,特别是在大学英语教学中展现出巨大潜力。该文介绍了个性化学习和人工智能赋能学习的概念,探讨了当前大学英语教学中存在的突出问题,如课前自主学习资源单一、缺乏个性化学习路线规划、评价反馈促学作用不足等,提出了人工智能技术驱动的大学英语个性化学习方案,旨在通过人工智能技术支持下的个性化学习资源的建设、个性化学习路径的设计、个性化交互的实施以及个性化评价反馈的生成,推动学生的个性化学习,促进大学英语学习效果的提升。

关键词: 人工智能, 大学英语, 个性化学习, 学习资源, 学习路径规划, 评价

Abstract: With the rapid development of digital intelligence technology, artificial intelligence (AI) technology has been increasingly applied in the field of education, particularly demonstrating significant potential in college English teaching. This paper introduces the concepts of personalized learning and AI-assisted learning, and discusses the prominent issues existing in current college English teaching, including the monotony of self-directed learning resources before class, the absence of personalized learning plan, and the inadequacy of evaluation and feedback in fostering learning. Subsequently, an AI-driven personalized learning program for college English is proposed, aiming to promote personalized learning among students and enhance the effectiveness of college English learning through the construction of personalized learning resources, the design of personalized learning paths, the implementation of personalized interactions, and the generation of personalized evaluation and feedback.

Key words: Artificial intelligence, College English, Personalized learning, Learning resources, Learning route planning, Evaluation

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