May, 2020
qDKT:基于问题的深度知识追踪
qDKT: Question-centric Deep Knowledge Tracing
Shashank Sonkar, Andrew E. Waters, Andrew S. Lan, Phillip J. Grimaldi, Richard G. Baraniuk
TL;DRqDKT is a variant of deep knowledge tracing that models every learner's success probability on individual questions over time by incorporating graph Laplacian regularization and initialization scheme inspired by fastText algorithm, achieving state-of-the-art performance on predicting learner outcomes and serving as a baseline for new question-centric knowledge tracing models.