Abstract
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.
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Ha, K., Jo, IH., Lim, S., Park, Y. (2015). Tracking Students’ Eye-Movements on Visual Dashboard Presenting Their Online Learning Behavior Patterns. In: Chen, G., Kumar, V., Kinshuk, ., Huang, R., Kong, S. (eds) Emerging Issues in Smart Learning. Lecture Notes in Educational Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44188-6_51
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DOI: https://doi.org/10.1007/978-3-662-44188-6_51
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