构建AI增强学习架构，实现成人在线教育的个性化与规模化。
A4L: An Architecture for AI-Augmented Learning
- 设计A4L架构，整合学习数据采集与分析
- 支持教师、学习者与AI agents实时反馈优化
- 适用于成人在线教育场景，推动个性化学习
AI有望实现个性化学习与规模化教育。随着AI代理在教学与学习中日益渗透，亟需一种数据架构来收集和分析学习数据，并将结果反馈给教师、学习者及AI代理，以实现大规模个性化学习。在美国国家人工智能成人学习与在线教育研究所，我们正在开发一种面向AI增强学习（A4L）的架构，以支持成人通过在线教育进行学习。本文阐述了A4L架构的设计动机、目标与需求，描述了其初步应用，并探讨其如何推动学习更加个性化与可扩展。
原文摘要 · Abstract (English)
AI promises personalized learning and scalable education. As AI agents increasingly permeate education in support of teaching and learning, there is a critical and urgent need for data architectures for collecting and analyzing data on learning, and feeding the results back to teachers, learners, and the AI agents for personalization of learning at scale. At the National AI Institute for Adult Learning and Online Education, we are developing an Architecture for AI-Augmented Learning (A4L) for supporting adult learning through online education. We present the motivations, goals, requirements of the A4L architecture. We describe preliminary applications of A4L and discuss how it advances the goals of making learning more personalized and scalable.
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