arXiv:2411.07300cs.AIcs.CY2024-11被引 4

AI自动生成个性化课程,辅助自主学习

Artificial Intelligence Ecosystem for Automating Self-Directed Teaching

  • 用微调AI生成定制学习路径和互动课件
  • 支持三维建模可视化复杂概念,提升理解力
  • 适合需要自主学习的教育工作者与学生

本研究提出一种由人工智能驱动的教育新范式,旨在通过个性化课程推送和自动化教学辅助优化自主学习。系统利用微调后的AI模型构建自适应学习环境,包含定制化学习路线、自动生成演示文稿及复杂概念的三维建模可视化。通过实时虚拟助教解决疑问,平台满足学习者即时需求,同时促进自主学习习惯养成。研究探讨了自主学习的心理优势,表明AI自动化可通过个性化内容分发与交互式支持机制提升教育效果。该工作为教育技术领域贡献了一个整合自动内容生成、视觉学习工具与智能辅导的完整框架,提供高效可扩展的现代教育解决方案。初步结果显示,该方法能适配多样学习风格,增强学生参与度与知识保留率,强调以自主、渐进方式推进学习。

原文摘要 · Abstract (English)

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.

AI教育自主学习智能辅导

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