摘 要
随着信息技术的迅猛发展，人工智能技术逐渐渗透到教育领域，为传统教育模式带来变革机遇。本研究旨在探讨人工智能在教育领域的应用前景，通过文献综述与案例分析相结合的方法，系统梳理了当前人工智能技术在个性化学习、智能辅导、教学评估等方面的应用现状。研究发现，人工智能能够根据学生个体差异提供定制化学习路径，显著提升学习效率；智能辅导系统可实现24小时在线答疑解惑，突破时空限制；基于大数据的教学评估体系有助于精准定位学生知识掌握情况。创新点在于构建了涵盖课前准备、课堂互动、课后反馈的全流程智能化教育支持框架，提出了“人机协同育人”的新理念，强调教师与智能系统的有机结合。该研究不仅为教育信息化提供了理论依据，还为未来智慧校园建设指明了方向，对推动教育公平、提高教学质量具有重要现实意义。研究成果表明，人工智能将重塑教育生态，成为构建终身学习型社会的重要支撑力量，为教育现代化注入新动能。
关键词：人工智能教育应用 个性化学习路径 智能辅导系统
Abstract
With the rapid development of information technology, artificial intelligence (AI) has gradually permeated the field of education, presenting transformative opportunities for traditional educational models. This study aims to explore the application prospects of AI in education by integrating literature review and case analysis to systematically examine the current status of AI applications in personalized learning, intelligent tutoring, and teaching assessment. The findings indicate that AI can provide customized learning paths based on individual student differences, significantly enhancing learning efficiency; intelligent tutoring systems enable 24/7 online problem-solving, transcending temporal and spatial constraints; and data-driven teaching evaluation systems facilitate precise identification of students' knowledge acquisition. An innovation of this research lies in constructing a comprehensive intelligent educational support fr amework that encompasses pre-class preparation, in-class interaction, and post-class feedback, proposing a new concept of "human-machine collaborative education" that emphasizes the organic combination of teachers and intelligent systems. This research not only provides theoretical foundations for educational informatization but also offers guidance for future smart campus construction, playing a crucial role in promoting educational equity and improving teaching quality. The research outcomes suggest that AI will reshape the educational ecosystem, becoming a vital supporting force for building a lifelong learning society and injecting new impetus into educational modernization.
Keyword:Artificial Intelligence Educational Applications Personalized Learning Paths Intelligent Tutoring Systems
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法概述 2
2人工智能对教育模式的变革 2
2.1教学方式的智能化转型 2
2.2个性化学习路径构建 3
2.3虚拟现实与沉浸式教学 3
3人工智能在教育资源中的应用 4
3.1智能化教育资源开发 4
3.2在线教育平台优化 4
3.3自适应学习系统设计 5
4人工智能对教育管理的影响 5
4.1教育大数据分析应用 5
4.2智能化教育评估体系 6
4.3校园安全管理智能化 7
结论 7
参考文献 9
致谢 10
