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.
@article{arxiv.1702.04282,
title = {T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System},
author = {Chaitanya Ekanadham and Yan Karklin},
journal= {arXiv preprint arXiv:1702.04282},
year = {2017}
}