Daniel L Cook, Jesse C Wiley, John H Gennari
Chalkboard: ontology-based pathway modeling and qualitative inference of disease mechanisms
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
knowledge tracing kt models students mastery level knowledge concepts based responses questions past predicts probability correctly answer subsequent questions future recent kt models mostly developed deep neural networks demonstrated superior performance traditional approaches however ignore explicit modeling learning curve theory generally says practices knowledge concept enhance ones mastery level concept based theory propose convolutionaugmented knowledge tracing cakt model capsuleenhanced cakt cecakt model enable learning curve modeling particular predicting students response next question associated specific knowledge concept cakt uses module built threedimensional convolutional neural networks learn students recent experience concept cecakt improves cakt replacing global average pooling layer capsule networks prevent information loss moreover two models employ lstm networks learn overall knowledge state fused feature learned convolutionalcapsule module two models learn students overall knowledge state well knowledge state concept next question experimental results four reallife datasets show cakt cecakt achieve better performance compared existing deep kt models