L-AT-S

It is our great pleasure to welcome you to ACM conference Learning at Scale 2015. In this, the second year of the conference, we have seen a significant growth in the number of submissions to the conference and an overall improvement in the quality of the contributions. This year's conference continues the tradition of being the premier forum for presentation of research results and inside stories about what makes online educational systems operate at scale.

The call for papers attracted submissions from all over the world, covering a broad range of topics from the theoretical to the pragmatic.

The program committee reviewed and accepted the following: Venue or Track Reviewed Accepted

• Full Technical Papers 90 23 25%

• Short Technical Papers 12 5 41%

• Work in Progress Papers 54 47 80%

Since the conference is still in its formative years, we accepted a large fraction of all the Works in Progress because we found the experience of reading through them to be so valuable. We are still a nascent field, and learning about the very latest work reflects the rapidly changing nature of what we know to be true.

We encourage attendees to attend both keynotes. These valuable and insightful talks can and will guide us to a better understanding of the future of our field:

• Achieving 96% mastery at national scale through inspired learning and generative adaptivity, Zoran Popovic (University of Washington)

• Machine Learning for Learning at Scale, Peter Norvig (Google)