Tracking students’ eye-movements on visual dashboard presenting their online learning behavior patterns

This study aims to investigate students’ reactions and perceptions to the Learning Analytics Dashboard (LAD). LAD was designed and developed by researchers to present students’ online learning activity in a visualized display. An eye tracking system was incorporated to measure students’ eye-movement, including eye fixation, saccade and their sub derivatives on LAD. The results are derived from the data-mining of what the eye-tracking system generates. This study is expected to support a smart learning environment, where students can effectively monitor their online behavior patterns in real-time using their mobile devices. Students can utilize such information to change their learning patterns, and improve performance.