标题： 基于人工智能的智能辅导系统的全面综述：应用与挑战 显示英文标题

标题： A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges

摘要： 基于人工智能的智能辅导系统（ITS）在改变教学和学习方面具有巨大的潜力。 随着不断努力设计、开发并将ITS整合到教育环境中，关于其有效性的结果参差不齐。 本文提供了一个全面的综述，以了解ITS在真实教育环境中的运作方式，并识别其应用和评估中的相关挑战。 我们使用系统文献综述方法分析了2010年至2025年间发表的大量合格研究，研究领域包括教学策略、自然语言处理、自适应学习、学生建模以及ITS的特定领域应用。 结果揭示了ITS有效性方面的复杂局面，突出了取得的进展和持续的挑战。 该研究还指出了在实验设计和数据分析中需要更高的科学严谨性。 基于这些发现，提出了未来研究的建议和实际意义。 显示英文摘要

摘要： AI-based Intelligent Tutoring Systems (ITS) have significant potential to transform teaching and learning. As efforts continue to design, develop, and integrate ITS into educational contexts, mixed results about their effectiveness have emerged. This paper provides a comprehensive review to understand how ITS operate in real educational settings and to identify the associated challenges in their application and evaluation. We use a systematic literature review method to analyze numerous qualified studies published from 2010 to 2025, examining domains such as pedagogical strategies, NLP, adaptive learning, student modeling, and domain-specific applications of ITS. The results reveal a complex landscape regarding the effectiveness of ITS, highlighting both advancements and persistent challenges. The study also identifies a need for greater scientific rigor in experimental design and data analysis. Based on these findings, suggestions for future research and practical implications are proposed.