4 papers
Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
Yahya Badran, Christine Preisach
Knowledge Tracing (KT) aims to predict a student's future performance based on their sequence of interactions with learning content. Many KT models rely on knowledge concepts (KCs)…
Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
Yahya Badran, Christine Preisach
Personalized recommendation is a key feature of intelligent tutoring systems, typically relying on accurate models of student knowledge. Knowledge Tracing (KT) models enable this b…
Addressing Label Leakage in Knowledge Tracing Models
Yahya Badran, Christine Preisach
Knowledge Tracing (KT) is concerned with predicting students' future performance on learning items in intelligent tutoring systems. Learning items are tagged with skill labels call…
Sparse Binary Representation Learning for Knowledge Tracing
Yahya Badran, Christine Preisach
Knowledge tracing (KT) models aim to predict students' future performance based on their historical interactions. Most existing KT models rely exclusively on human-defined knowledg…