Awards

2020 Test of Time Award: Data Mining to Classify Students
Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo and César Hervás

Initially published at the 1st International Conference on Educational Data Mining (2008)

Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo and César Hervás will give the award talk at the 14th Educational Data Mining Conference (EDM 2021)

2019 Test of Time Award: The state of Educational Data Mining in 2009: A review and future visions
Ryan S. Baker & Kalina Yacef

Initially published in Vol. 1 No. 1 of the Journal of Educational Data Mining (2009)

Ryan Baker and Kalina Yacef gave the award talk at the 13th Educational Data Mining Conference (EDM2020).

Best paper: Variational Item Response Theory: Fast, Accurate, and Expressive.
Mike Wu, Richard Davis, Benjamin Domingue, Chris Piech and Noah Goodman

Best student paper: Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework.
Nathan Henderson, Vikram Kumaran, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe and James Lester

“Hello, [REDACTED]”: Protecting Student Privacy in Analyses of Online Discussion Forums
Nigel Bosch, Wes Crues, Najmuddin Shaik and Luc Paquette

Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework
Nathan Henderson, Vikram Kumara, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe and James Lester

The effect of teachers reassigning students to new Cognitive Tutor sections
Adam Sales and John Pane

Variational Item Response Theory: Fast, Accurate, and Expressive
Mike Wu, Richard Davis, Benjamin Domingue, Chris Piech and Noah Goodman

Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework
Nathan Henderson, Vikram Kumara, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe and James Lester

Variational Item Response Theory: Fast, Accurate, and Expressive
Mike Wu, Richard Davis, Benjamin Domingue, Chris Piech and Noah Goodman