Click on the underlined talk title to download slides:
Invited speakers
Mitchell Stevens
Director of the Center of Advanced Research through Online Learning (CAROL), Stanford University
Personalization, Prediction, Tracking: Parsing Responsible Use of Student Data in Higher Education
Alina von Davier
Senior Vice President, ACTNext
An Illustration of an AI-based Educational Assistant and Its Underlying Learning Analytics
Shivani Rao
Senior Applied Researcher, LinkedIn
An overview of AI problems applied to the domain of Online Learning
Adam Blum
Senior Director, Emerging Technologies, ACT
Methods of Intersystem Measurement of Instructional Resource Efficacy
Zachary Pardos
Assistant professor of Education and Information, UC Berkeley
Approaches to Scalable Personal Guidance in MOOCs and On Campus
Emma Brunskill
Assistant professor in Computer Science, Stanford University
Anita Bowles, Jeremy Roschelle, Kelli Hill, Kodi Weatherholtz, and Denis Newman
Rosetta Stone, Digital Promise, Khan Academy, Empirical Education
Individual Presentations and Panel Discussion: Best Practices in Efficacy Research
1a: Recommendation and prediction in online environments
Yuchi Huang, David Edwards, Lu Ou and Saad Khan
ACTNext
GMMC: Generating Multimodal Micro Content
Priya Venkat, Sanghamitra Deb and William Ford
Chegg
Using weak supervision techniques to improve student experiences at Chegg
Shamya Karumbaiah and Ryan S Baker
University of Pennsylvania
1b: Tutoring
David Lang, Sigtryggur Kjartansson, Jayadev Bhaskaran and Lucianna Bennoti
Stanford University
Modeling Student Response Times: Towards Efficient One-on-one Tutoring Dialogues
2a: Learning analytics
Petr Johanes
Stanford University
Putting the Philosophy of Modeling to Work for Learning Analytics
2b: MOOCs
Varun Ganapathi, Byung-Hak Kimand Ethan Vizitei
Stanford University/Udacity
Predicting and Improving Student Performance with Machine Learning
David Lang
Stanford University
Predicting Clickstream Engagement in MOOCs using Transcript Level Features ⚡️