Eye tracking has taken hold in second language acquisition (SLA) and bilingualism as a valuable technique for researching cognitive processes, yet a comprehensive picture of reporting practices is still lacking. Our systematic review addressed this gap. We synthesized 145 empirical eye-tracking studies, coding for 58 reporting features and…

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…

Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant…

The current study investigated the effects of segmentation design and drawing on college students' video learning. Participants were 158 college students randomly assigned to view either a segmented or continuous video lecture (video type: segmented vs continuous) and who either received instructed to draw while learning or no instructions at all…

Purpose: This study is an "Action-Research-based" bridge that connects sketching and photographic processes. The article's objective encompasses designing, assessing and validating a perceived difference between sketching and photography through a structured task by ensuring the systematic creation and implementation of the assignments.…

Purpose: The ability to measure cognitive load in the workplace provides several opportunities to improve workplace learning. In recent years, virtual reality (VR) has seen an increase in use for training and learning applications due to improvements in technology and reduced costs. This study aims to focus on the use of simulation task load index…

Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…

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…

Experts perceive and evaluate domain-specific visual information with high accuracy. In doing so, they exhibit eye movements referred to as "expert gaze" to rapidly focus on task-relevant areas. Using eye tracking, it is possible to record these implicit gaze patterns and present them to histology novice learners during training. This…

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…

Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA…