Abstract
Eye movement measurement is both non-invasive to the learner, and available at a cost that is steadily decreasing. There are currently several mainstream laptop computers on the market that ship with fully integrated eye-tracking. Eye movements will take on a role as inputs to predict individualized learning performance. In response to the increased usage of this tool, this study uses eye-tracking technology to investigate the effects of time pressure and feedback on changes in eye movement by generating structural models. We tracked participants’ eye movement, and to relate this eye movement to human learning behaviors while participants were asked to complete online training for a Project Management task. The study measured participants’ eye-movements in response to the amount of time to deadlines and feedback updating the remaining time. Results showed that eye movement partially mediated the relationship between time to deadline and task completion time. The results of the study will be advantageous in predicting individualized learning performance based on eye movements.
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