用AI打造个性化学习系统，让每个学生都能获得量身定制的教育体验。
Personalizing Education through an Adaptive LMS with Integrated LLMs
- 融合通用与领域专用大模型，动态适应不同学习者需求。
- 通过多模型协同降低事实错误率，提升内容准确性。
- 适合资源有限的教学场景，尤其适合远程与自主学习者。
大型语言模型（LLMs）的广泛应用标志着技术变革的新时代，尤其在教育领域。本文探讨将LLMs整合进学习管理系统（LMS）中，构建一个面向个体学习者的自适应学习管理系统（ALMS），适用于不同教育阶段。传统LMS虽能分发教学材料，但在应对多样化学生需求方面存在不足，尤其在教师资源匮乏的环境中更为明显。所提出的系统利用AI的灵活性，提供可定制的学习环境，随用户需求动态调整。通过集成通用与领域专用的LLMs，该系统旨在减少通用大模型（如OpenAI的ChatGPT）常见的事实性错误和过时信息问题。本文详述了ALMS的开发过程，不仅解决隐私顾虑与现有教育工具的局限性，还通过个性化内容提升学习参与度。
原文摘要 · Abstract (English)
The widespread adoption of large language models (LLMs) marks a transformative era in technology, especially within the educational sector. This paper explores the integration of LLMs within learning management systems (LMSs) to develop an adaptive learning management system (ALMS) personalized for individual learners across various educational stages. Traditional LMSs, while facilitating the distribution of educational materials, fall short in addressing the nuanced needs of diverse student populations, particularly in settings with limited instructor availability. Our proposed system leverages the flexibility of AI to provide a customizable learning environment that adjusts to each user's evolving needs. By integrating a suite of general-purpose and domain-specific LLMs, this system aims to minimize common issues such as factual inaccuracies and outdated information, characteristic of general LLMs like OpenAI's ChatGPT. This paper details the development of an ALMS that not only addresses privacy concerns and the limitations of existing educational tools but also enhances the learning experience by maintaining engagement through personalized educational content.
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