2023 Prof. Ram Kumar Educational Data Mining Test of Time Award
- A contextualized, differential sequence mining method to derive students’ learning behavior patterns – John S. Kinnebrew, Kirk M. Loretz and Gautam Biswas
Best Full Paper Award
- Automated Search for Logistic Knowledge Tracing Models – Philip I. Pavlik Jr. and Luke G. Eglington
Best Student Paper Award
- Investigating the Importance of Demographic Features for EDM-Predictions – Lea Cohausz, Andrej Tschalzev, Christian Bartelt and Heiner Stuckenschmidt
Best Short Paper Award
- Towards Generalizable Detection of Urgency of Discussion Forum Posts – Valdemar Švábenský, Ryan S. Baker, Andrés Zambrano, Yishan Zou and Stefan Slater
Honorable Mention (Full Paper)
- Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums – Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay and Nia Nixon
- Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problem within an Intelligent Logic Tutor – Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi and Tiffany Barnes
- Can the Paths of Successful Students Help Other Students With Their Course Enrollments? – Kerstin Wagner, Agathe Merceron, Petra Sauer and Niels Pinkwart
Honorable Mention (Short Paper)
- The Predictiveness of PFA is Improved by Incorporating the Learner’s Correct Response Time Fluctuation – Wei Chu and Philip I. Pavlik Jr.
- Knowledge Tracing Over Time: A Longitudinal Analysis – Morgan P Lee, Ethan Croteau, Ashish Gurung, Anthony F. Botelho and Neil T. Heffernan
- Can’t Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data – Machi Shimmei and Noboru Matsuda