Generative Artificial Intelligence (AI) is revolutionizing educational technology by enabling highly personalized and adaptive learning environments within Intelligent Tutoring Systems (ITS). This report delves into the integration of Generative AI, particularly large language models (LLMs) like GPT-4, into ITS to enhance personalized education through dynamic content generation, real-time feedback, and adaptive learning pathways. We explore key applications such as automated question generation, customized feedback mechanisms, and interactive dialogue systems that respond to individual learner needs. The report also addresses significant challenges, including ensuring pedagogical accuracy, mitigating inherent biases in AI models, and maintaining learner engagement. Future directions highlight the potential advancements in multimodal AI integration, emotional intelligence in tutoring systems, and the ethical implications of AI-driven education. By synthesizing current research and practical implementations, this report underscores the transformative potential of Generative AI in creating more effective, equitable, and engaging educational experiences.

本文探讨了生成性人工智能，尤其是大型语言模型如何融入智能辅导系统，以提升个性化教育。研究提出了一种动态内容生成和实时反馈的新方法，并指出确保教学准确性和减少模型偏见等挑战。研究结果预示着生成性人工智能在教育公平与有效性方面的巨大潜力。

生成性人工智能及其对个性化智能辅导系统的影响