ACM Learning at Scale Conference (ACM L@S)

The ACM Learning at Scale Conference (L@S) is a premier interdisciplinary research event focused on understanding and designing learning environments that operate at large scale, where many learners engage with minimal expert supervision, such as massive open online courses (MOOCs), intelligent tutoring systems, and digitally mediated learning communities. Organized under the auspices of the Association for Computing Machinery, it draws researchers, engineers, educators, and data scientists who collaborate to advance the science of learning using computational methods, data analytics, and educational theory. Topics at the conference include scalable instructional design, analytics to measure and improve learner outcomes, adaptive feedback and assessment technologies, and the social and cultural dimensions of learning with technology. Workshops and keynote sessions explore the implications of recent advances in artificial intelligence, algorithmic personalization, and human‑computer interaction for scalable learning systems, with particular attention to equity, accessibility, and responsible use of learner data. By fostering dialogue across disciplines—from cognitive science to computer science and education research—L@S aims to build a deeper understanding of how to support effective learning experiences for thousands or millions of learners simultaneously and ethically.