John Bielinski
Author directory2026
Using XGBoost to Construct a Vertically Skill Difficulty Scale
John Bielinski
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
John Bielinski
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
An XGBoost prediction model was fitted to online skill practice data for a collection of 1800+ skills to construct a vertically aligned skill difficulty scale spanning kindergarten through 8th grade math. The results were validated through association with an independently derived Rasch vertical scale.