Topological Order Discovery via Deep Knowledge Tracing

The goal of discovering topological order of skills is to generate a sequence of skills satisfying all prerequisite requirements. Very few previous studies have examined this task from knowledge tracing perspective. In this paper, we introduce a new task of discovering topological order of skills using students' exercise performance and explore the utility of Deep Knowledge Tracing (DKT) to solve this task. The learned topological results can be used to improve students' learning efficiency by providing students with personalized learning paths and predicting students' future exercise performance. Experimental results demonstrate that our method is effective to generate reasonable topological order of skills.