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