Visual Analysis Method of Online Learning Path Based on Eye Tracking Data

Abstract

The perception and visualization of online learning paths are one of the important foundations for online learning process optimization. Eye tracking technology provides technical support for online learning path research by accurately recording online learners’ eye movement data. This study proposes an online learning path visualization method supported by eye tracking technology. The visual model of online learning path mainly includes (1) visual object system, (2) visual element system, (3) visualization method, (4) visualization results presentation, and (5) the specific application of visualization results. The implementation process of the method is divided into three steps: (a) data perception of the online learning process; (b) parameter determination of online learning path; and (c) online learning path visualization. The empirical research results indicate that the method can accurately perceive and visualize the learner’s online learning path and then restore the real online learning process, which provides an important basis for accurately grasping and dynamically optimizing the online learning process.