Using gaze analysis for learning analytics to assess learners of mathematics

In learning analytics, we use eye tracking technology to get deeper insights into the learning processes. In this paper, we propose to capture eye movements (fixation points and saccades) of learners of mathematics. The study aims at using eye tracking technology to understand the correlation between attention, gaze patterns and performance. The captured data will help us understand the relationships between texts, diagrams and formulas as well as identify quick and weak learners in mathematics and provide appropriate guidance.