This research introduces an innovative artificial intelligence-driven educational concept designed to optimize self-directed learning through personalized course delivery and automated teaching assistance. The system leverages fine-tuned AI models to create an adaptive learning environment that encompasses customized roadmaps, automated presentation generation, and three-dimensional modeling for complex concept visualization. By integrating real-time virtual assistance for doubt resolution, the platform addresses the immediate educational needs of learners while promoting autonomous learning practices. This study explores the psychological advantages of self-directed learning and demonstrates how AI automation can enhance educational outcomes through personalized content delivery and interactive support mechanisms. The research contributes to the growing field of educational technology by presenting a comprehensive framework that combines automated content generation, visual learning aids, and intelligent tutoring to create an efficient, scalable solution for modern educational needs. Preliminary findings suggest that this approach not only accommodates diverse learning styles but also strengthens student engagement and knowledge retention through its emphasis on self-paced, independent learning methodologies.

翻译：本研究提出了一种创新的人工智能驱动教育理念，旨在通过个性化课程交付与自动化教学辅助来优化自主学习。该系统利用微调后的AI模型构建自适应学习环境，涵盖定制化学习路径规划、自动化演示文稿生成以及复杂概念三维可视化建模。通过集成实时虚拟答疑助手，该平台在满足学习者即时教育需求的同时，促进了自主学习实践。本研究探讨了自主学习的心理学优势，并展示了AI自动化如何通过个性化内容交付与交互式支持机制提升教育成效。该研究通过提出一个融合自动化内容生成、可视化学习辅助与智能导学的综合框架，为现代教育需求提供了高效可扩展的解决方案，从而推动了教育技术领域的发展。初步研究表明，该方法不仅适应多样化的学习风格，更通过强调自主节奏的独立学习模式，有效提升了学生的参与度与知识保持率。