LearnMate：利用基于 LLM 的个性化学习计划与支持增强在线教育
LearnMate: Enhancing Online Education with LLM-Powered Personalized Learning Plans and Support
AI总结：
本文提出 LearnMate 系统，依据个性化学习文献设计指南，驱动 LLM 生成定制学习计划并提供实时支持，以改善在线教育的个性化体验。
摘要：
随着在线学习日益普及，使教育适应多样化学习者需求仍是一项持续挑战。人工智能（AI）的最新进展，尤其是大型语言模型（LLM），有望提供强大的工具和能力，以增强在线教育环境中的个性化学习。在本研究中，我们探讨 LLM 如何通过满足个体用户需求来改善个性化学习体验，从而提升在线教育的整体质量。我们基于不断增长的个性化学习文献设计了个性化指南，以使 LLM 在生成定制学习计划时有据可依。为将这些指南落地实施，我们构建了 LearnMate，这是一个基于 LLM 的系统，可生成个性化学习计划并为用户提供实时学习支持。我们讨论了本研究的意义与未来方向，旨在通过将基于 LLM 的个性化支持整合到在线学习环境中，超越传统的“一刀切”方法。
英文摘要：
With the increasing prevalence of online learning, adapting education to diverse learner needs remains a persistent challenge. Recent advancements in artificial intelligence (AI), particularly large language models (LLMs), promise powerful tools and capabilities to enhance personalized learning in online educational environments. In this work, we explore how LLMs can improve personalized learning experiences by catering to individual user needs toward enhancing the overall quality of online education. We designed personalization guidelines based on the growing literature on personalized learning to ground LLMs in generating tailored learning plans. To operationalize these guidelines, we implemented LearnMate, an LLM-based system that generates personalized learning plans and provides users with real-time learning support. We discuss the implications and future directions of this work, aiming to move beyond the traditional one-size-fits-all approach by integrating LLM-based personalized support into online learning environments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
