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Direct linkEmhardt, Selina N.; Kok, Ellen; van Gog, Tamara; Brandt-Gruwel, Saskia; van Marlen, Tim; Jarodzka, Halszka – Educational Psychology Review, 2023
Eye movement modeling examples (EMMEs) are instructional videos (e.g., tutorials) that visualize another person's gaze location while they demonstrate how to perform a task. This systematic literature review provides a detailed overview of studies on the effects of EMME to foster observers' performance and learning and highlights their differences…
Descriptors: Eye Movements, Teaching Methods, Video Technology, Task Analysis
Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
Praharaj, Sambit; Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus – IEEE Transactions on Learning Technologies, 2021
Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of…
Descriptors: Learning Analytics, 21st Century Skills, Learning Modalities, Task Analysis
Elsherif, M. M.; Preece, E.; Catling, J. C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Age of acquisition (AoA) refers to the age at which people learn a particular item and the AoA effect refers to the phenomenon that early-acquired items are processed more quickly and accurately than those acquired later. Over several decades, the AoA effect has been investigated using neuroscientific, behavioral, corpus and computational…
Descriptors: Age Differences, Correlation, Word Frequency, Word Recognition
Download full textSzulewski, Adam; Kelton, Danielle; Howes, Daniel – Frontline Learning Research, 2017
Background: Pupillometry has been studied as a physiological marker for quantifying cognitive load since the early 1960s. It has been established that small changes in pupillary size can provide an index of the cognitive load of an individual as he/she performs a mental task. The utility of pupillometry as a measure of expertise is less well…
Descriptors: Expertise, Medicine, Eye Movements, Diagnostic Tests
