T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System
This work addresses the challenge of accurately estimating student proficiency in adaptive learning systems, which is incremental as it builds on existing IRT methods with temporal and structured enhancements.
The paper tackled the problem of predicting student responses in adaptive learning systems by developing T-SKIRT, a temporal and structured-knowledge IRT-based method, which outperformed standard IRT-based methods in online response prediction tasks using real student data.
We develop T-SKIRT: a temporal, structured-knowledge, IRT-based method for predicting student responses online. By explicitly accounting for student learning and employing a structured, multidimensional representation of student proficiencies, the model outperforms standard IRT-based methods on an online response prediction task when applied to real responses collected from students interacting with diverse pools of educational content.