Access to all workshops on July 10th is free for anyone with a registration to the main conference. Please use Whova to find the Zoom links for each of them! The workshop and tutorial schedules are shown below. Information and links to each workshop and tutorial’s website is at the bottom of the page.


Causal Inference in Educational Data Mining

Adam Sales, Stephen Fancsali, Anthony Botelho, Joseph Jay Williams, Neil Heffernan.

Educational Data for Mining in Computer Science Education  (CSDM) 

Thomas Price, Peter Brusilovsky, Sharon Hsiao, Kenneth Koedinger and Yang Shi

FATED: Fairness, Accountability, and Transparency in Educational Data (Mining)

Nigel Bosch, Christopher Brooks, Shayan Doroudi, Josh Gardner, Kenneth Holstein, Andrew Lan,  Collin Lynch, Beverly Park Woolf, Mykola Pechenizkiy, Steven Ritter , Jill-Jênn Vie, and Renzhe Yu

Reproducibility and Replication of Analytic Methods with LearnSphere

John Stamper, Kenneth Koedinger and Philip I. Pavlik Jr.

The Learner Data Institute: Big Data, Research Challenges, & Science Convergence in Educational Data Science 

Vasile Rus, Stephen Fancsali


An Introduction to Neural Networks

Agathe Merceron and Ange Tato