This is the online component of the ACM Learning@Scale 2016 conference. It was compiled and edited by Piotr Mitros with Ido Roll. The sessions at the conference were chaired by Piotr Mitros and Nina Huntemann.

• Improving the Peer Assessment Experience on MOOC Platforms
• Graders as Meta-Reviewers: Simultaneously Scaling and Improving Expert
• Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice
• The Role of Social Media in MOOCs: How to Use Social Media to Enhance Student Retent

• ASSISTments Dataset from Multiple Randomized Controlled Experiments
• Beetle-Grow: An Effective Intelligent Tutoring System for Data Collection
• Beyond Traditional Metrics: Using Automated Log Coding to Understand 21st Century Learning Online
• Challenge and Potential of Fine Grain, Cross-Institutional Learning Data
• Designing for Open Learning: Design Principles and Scalability Affordances in Practice
• Designing Videos with Pedagogical Strategies: Online Students' Perceptions of Their Effectiveness
• Evaluating the student experience in Massive Open Online Courses (MOOCs)
• Expert Evaluation of 300 Projects per Day
• Exploring the effects of lightweight social incentives on learner performance in MOOCs
• A Framework for Topic Generation and Labeling from MOOC Discussions
• Instructor Dashboards in edX
• Identifying Student Misunderstandings using Constructed Responses
• Learning About Teaching in Low-Resource Indian Contexts
• Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation
• Optimizing the Amount of Practice in an On-Line Learning Platform
• A Queueing Network Model for Spaced Repetition
• Studying Learning at Scale with the ASSISTments TestBed
• TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale
• Towards Cross-domain MOOC Forum Post Classification
• The Unexpected Pedagogical Benefits of Making Higher Education Accessible