ACM Learning @ Scale

L@S investigates large-scale, technology-mediated learning environments that typically have many active learners and few experts on hand to guide their progress or respond to individual needs. Modern learning at scale typically draws on data at scale, collected from current learners and previous cohorts of learners over time. Large-scale learning environments are very diverse, including formal institutional education in K-16 and campus-based courses, online courses, mobile learning applications, intelligent tutoring systems, open courseware, learning games, citizen science communities, collaborative programming communities, community tutorial systems, shared critique communities, informal communities of learners, and curricular/administrative systems supporting learner pathfinding. Research on learning at scale brings together learning scientists, computer scientists, and data scientists in interdisciplinary research toward more effective and varied future learning.