A4L
Abstract
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) to support adult learning through online education. We present the motivations, goals, and 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.
Fields of Study & Subjects
Intelligent Tutoring Systems and Adaptive Learning
Online Learning and Analytics
Recommender Systems and Techniques
Publication details
- Journal / source
- AI Applications in Online Higher Education Administration
- Publisher
- Routledge
- Pages
- 151–164
- Publication date
- 3 February 2026
- Language
- EN
- Document type
- Book chapter