Learners' Attention Preferences and Learning Paths on Online Learning Content: An Empirical Study Based on Eye Movement

Abstract

Online learning paths to understand online learning information processing methods and cognitive characteristics, and are also useful in optimizing the design of online learning processes. With eye movement capturing and data analyzing technology, the Tobii X120 eye movement instrument, Tobii studio and online learning platform were used to record and visualize the eye movements during the real online learning processes of 14 online learners. Based on Barbara A. Soloman's learning style classification framework, these learners' learning styles wwere classified in four dimensions. Their eye-movement data enabled their preferences regarding learning content and online learning paths to be traced according to their learning styles. It was found that their learning styles were related to their attention preferences and learning paths for online learning content. Learners with different learning styles had different focus areas and learning paths; those with a specific common learning style had basically the same focus areas and online learning paths.