Background: The COVID pandemic exposed limitations in online learning platforms. This study explores Real-time Shared Gaze Visualizations (SGVs), which use eye-tracking data to restore non-verbal social cues and improve teacher-learner communication. We aim to: (1) identify gaze patterns linked to learning, (2) compare these patterns across visual…

This dissertation investigates the problem of how variations in the intensity of three selected constructs--multimedia signaling, speed and pacing, and cognitive engagement prompts--affect attention and learning outcomes in online learning environments. The study explores the intersecting cognitive theories of cognitive load, higher order thinking…

This study examines the impact of instructor presence on cognitive load and learning outcomes in video-based learning environments, addressing a significant gap in optimising instructional design for digital education. Utilising eyetracking technology to measure pupil dilation, a reliable proxy for cognitive load, this research compares three…