Detailed Agenda

Detailed Agenda

The 2017 Learning at Scale proceedings are now available (free full text) for a limited time!

Thursday, April 20, 2017

Time Session
08:00 AM Registration
08:30 AM Welcome
09:00 AM Keynote: Learning Engineering: The Art of Applying Learning Science At Scale
[slides]
Bror Saxberg, Chief Learning Officer, Kaplan, Inc.
Session Chair: Claudia Urrea (Massachusetts Institute of Technology)
10:00 AM Tea
10:30 AM Session 1: Engineering Learning Environments
Session Chair: Mary Ellen Wiltrout (Massachusetts Institute of Technology)
Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies
[slides]
Shayan Doroudi (Carnegie Mellon University); Vincent Alevan (Carnegie Mellon University); Emma Brunskill (Carnegie Mellon University)
A visual approach towards knowledge engineering and understanding how students learn in complex environments
[slides]
Lauren Fratamico (University of British Columbia); Sarah Perez (University of British Columbia); Ido Roll (University of British Columbia)
Enabling Real-Time Adaptivity in MOOCs with A Personalized Next-Step Recommendation Framework
Zachary Pardos (University of California, Berkeley); Steven Tang (University of California, Berkeley); Dan Davis (Delft University); Christopher Vu Le  (University of California, Berkeley)
12:00 PM Lunch
01:00 PM Session 2: Learn to Code
Session Chair: Susan Singer (Rollins University)
Learning to Code in Localized Programming Languages
Sayamindu Dasgupta (Massachusetts Institute of Technology); Benjamin Mako Hill (University of Washington)
Teaching Students to Recognize and Implement Good Coding Style
Eliane Wiese (University of California, Berkeley); Michael Yen (University of California, Berkeley); Antares Chen (University of California, Berkeley); Lucas Augusto Dos Santos (University of California, Berkeley); Armando Fox (University of California, Berkeley)
02:00 PM Session 3: Predicting and Explaining Learning
Session Chair: Nia Dowell (University of Memphis)
Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems
[slides]
Steven Dang (Carnegie Mellon University); Michael Yudelson (Carnegie Mellon University); Kenneth Koedinger (Carnegie Mellon University)
Epistemic cognition: A promising and necessary construct for enriching large-scale online learning analysis
[slides]
Petr Johanes (Stanford University)
03:00 PM Tea
03:30 PM Community Conversations:
Experimentation at Scale
Knowledge Modeling
04:30 PM Posters & Demos
06:30 PM Close

Friday, April 21, 2017

Time Session
08:00 AM Registration
08:30 AM Welcome
09:00 AM Session 4: Feedback for Improving Learning
Session Chair: Amy Ogan (Carnegie Mellon University)
Scaling Expert Feedback: Two Case Studies
[slides]
David Joyner (Georgia Institute of Technology)
Gradescope: a fast, flexible, and fair system for scalable assessment of handwritten work
Arjun Singh (Gradescope); Sergey Karayev (Gradescope); Kevin Gutowski (Gradescope); Pieter Abbeel (University of California, Berkeley)
Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis
[slides]
Andrew Head (University of California, Berkeley); Elena Glassman (Massachusetts Institute of Technology); Gustavo Soares (Federal University of Campina Grande);  Ryo Suzuki (Colorado University, Boulder); Lucas Figuered (Federal University of Campina Grande); Loris D'Antoni (University of Wisconsin, Madison); Bjoern Hartman (University of California, Berkeley)
10:30 AM Tea
11:00 AM Session 5: Integrity of Courses and Learners
Session Chair: Eileen Scanlon (Open University)
Preventing Keystroke Based Identification in Open Data Sets
[slides]
Juho Leinonen (University of Helsinki); Petri Ihantola (Tampere University of Technology); Arto Hellas (University of Helsinki)
Do performance trends suggest wide-spread collaborative cheating on asynchronous exams?
Binglin Chen (University of Illinois Urbana-Champaign); Matthew West (University of Illinois Urbana-Champaign); Craig Zilles (University of Illinois Urbana-Champaign)
12:00 PM Lunch
01:00 PM Panel: Creative Learning @ Scale
[slides]
Mitch Resnick, MIT Media Lab (Moderator); Karen Brennan, Harvard Graduate School of Education; Cristóbal Cobo, Ceibal Foundation; and J. Philipp Schmidt, MIT Media Lab
Session Chair: Claudia Urrea (Massachusetts Institute of Technology)
02:00 PM Session 6: Experimentation
Session Chair: Elena Glassman (University of California, Berkeley)
Towards equal opportunities in MOOCs: Reducing gender & social-class achievement gaps in China with a value relevance affirmation
Rene F. Kizilcec (Stanford University); Glenn M. Davis (Stanford University); Geoffrey L. Cohen (Stanford University)
Learning about Learning at Scale: Methodological Challenges and Recommendations
Frans Van Der Sluis (Leiden University); Tim Van der Zee (Leiden University); Jasper Ginn (Leiden University)
03:00 PM Final Remarks with Best Paper Award
by Oracle Academy
03:30 PM Post-Conference Community Conversation: Formats and Priorities for Future Learning@Scale Conferences.
Location: Room 37-212