Modeling Skill Acquisition Over Time with Sequence and Topic Modeling
José P. González-Brenes · International Conference on Artificial Intelligence and Statistics · 2015
Online education provides data from students solving problems at dierent levels of prociency over time. Unfortunately, methods that use these data for inferring student knowledge rely on costly domain expertise. We propose three novel data-driven methods that bridge sequence modeling with topic models to infer students’ time varying knowledge. These methods dier in complexity,