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Showing 1 to 15 of 27 results Save | Export
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Kshitij Sharma; Serena Lee-Cultura; Sofia Papavlasopoulou; Michail Giannakos – Journal of Computer Assisted Learning, 2025
Background: Effort measurement is essential for adaptation to interactive learning technologies. Most contemporary technologies measure effort through the log data (reaction time and correctness). Some adaptive technologies use facial expressions and attention to adapt. Objectives: We present a novel, complementary, and multimodal definition of…
Descriptors: Academic Persistence, Educational Technology, Technology Uses in Education, Assistive Technology
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Basil Wahn; Laura Schmitz – Cognitive Research: Principles and Implications, 2024
With the increased sophistication of technology, humans have the possibility to offload a variety of tasks to algorithms. Here, we investigated whether the extent to which people are willing to offload an attentionally demanding task to an algorithm is modulated by the availability of a bonus task and by the knowledge about the algorithm's…
Descriptors: College Students, Algorithms, Cognitive Processes, Technology Uses in Education
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Chettaoui, Neila; Atia, Ayman; Bouhlel, Med Salim – Education and Information Technologies, 2023
Recent advances in sensor technology, including eye-gaze tracking, have introduced the opportunity to incorporate gaze into student modelling within an embodied learning context. The produced multimodal data is used to uncover cognitive, behavioural, and affective processes during the embodied learning activity. However, the use of eye-tracking…
Descriptors: Elementary School Students, Eye Movements, Academic Achievement, Human Body
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Korbach, Andreas; Brünken, Roland; Park, Babette – Educational Psychology Review, 2018
Recent studies about learning and instruction use cognitive load measurement to pay attention to the human cognitive resources and to the consumption of these resources during the learning process. In order to validate different measures of cognitive load for different cognitive load factors, the present study compares three different methods of…
Descriptors: Cognitive Processes, Difficulty Level, Comparative Analysis, Cognitive Measurement
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D'Mello, Sidney; Dieterle, Ed; Duckworth, Angela – Educational Psychologist, 2017
It is generally acknowledged that engagement plays a critical role in learning. Unfortunately, the study of engagement has been stymied by a lack of valid and efficient measures. We introduce the advanced, analytic, and automated (AAA) approach to measure engagement at fine-grained temporal resolutions. The AAA measurement approach is grounded in…
Descriptors: Learner Engagement, Measurement Techniques, Cognitive Processes, Case Studies
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Friend, Margaret; Pace, Amy E. – Journal of Cognition and Development, 2016
From early in development, segmenting events unfolding in the world in meaningful ways renders input more manageable and facilitates interpretation and prediction. Yet, little is known about how children process action structure in events composed of multiple coarse-grained actions. More importantly, little is known about the time course of action…
Descriptors: Toddlers, Adults, Motion, Cognitive Processes
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McCormick, Sheree A.; Causer, Joe; Holmes, Paul S. – Brain and Cognition, 2012
Action observation (AO) and movement imagery (MI) have been reported to share similar neural networks. This study investigated the congruency between AO and MI using the eye gaze metrics, dwell time and fixation number. A simple reach-grasp-place arm movement was observed and, in a second condition, imagined where the movement was presented from…
Descriptors: Observation, Mild Mental Retardation, Metric System, Human Body
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Morita, Tomoyo; Slaughter, Virginia; Katayama, Nobuko; Kitazaki, Michiteru; Kakigi, Ryusuke; Itakura, Shoji – Journal of Experimental Child Psychology, 2012
This study investigated how infants perceive and interpret human body movement. We recorded the eye movements and pupil sizes of 9- and 12-month-old infants and of adults (N = 14 per group) as they observed animation clips of biomechanically possible and impossible arm movements performed by a human and by a humanoid robot. Both 12-month-old…
Descriptors: Emotional Response, Human Body, Infants, Eye Movements
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Kuhlmeier, Valerie A.; Troje, Nikolaus F.; Lee, Vivian – Infancy, 2010
In the present study, we examined if young infants can extract information regarding the directionality of biological motion. We report that 6-month-old infants can differentiate leftward and rightward motions from a movie depicting the sagittal view of an upright human point-light walker, walking as if on a treadmill. Inversion of the stimuli…
Descriptors: Infants, Motion, Visual Stimuli, Visual Perception
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Lamanauskas, Vincentas, Ed. – International Baltic Symposium on Science and Technology Education, 2019
These proceedings contain papers of the 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019) held in Šiauliai, Lithuania, June 17-19, 2019. This symposium was organized by the Scientific Methodical Center "Scientia Educologica" in cooperation with the Institute of Education, Šiauliai University. The…
Descriptors: Science Education, Technology Education, Formative Evaluation, Chemistry
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Robertson, Steven S.; Johnson, Sarah L. – Developmental Science, 2009
Does real time coupling between mental and physical activity early in development have functional significance? To address this question, we examined the habituation of visual attention and the subsequent response to change in two groups of 3-month-olds with different patterns of movement-attention coupling. In suppressors, the typical decrease in…
Descriptors: Physical Activities, Attention, Habituation, Infants
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Srihasam, Krishna; Bullock, Daniel; Grossberg, Stephen – Journal of Cognitive Neuroscience, 2009
Oculomotor tracking of moving objects is an important component of visually based cognition and planning. Such tracking is achieved by a combination of saccades and smooth-pursuit eye movements. In particular, the saccadic and smooth-pursuit systems interact to often choose the same target, and to maximize its visibility through time. How do…
Descriptors: Eye Movements, Neurology, Brain Hemisphere Functions, Neurological Organization
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Elder, David M.; Grossberg, Stephen; Mingolla, Ennio – Journal of Experimental Psychology: Human Perception and Performance, 2009
A neural model is developed to explain how humans can approach a goal object on foot while steering around obstacles to avoid collisions in a cluttered environment. The model uses optic flow from a 3-dimensional virtual reality environment to determine the position of objects on the basis of motion discontinuities and computes heading direction,…
Descriptors: Computer Simulation, Eye Movements, Optics, Infants
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Sharpe, James A. – Brain and Cognition, 2008
Smooth pursuit impairment is recognized clinically by the presence of saccadic tracking of a small object and quantified by reduction in pursuit gain, the ratio of smooth eye movement velocity to the velocity of a foveal target. Correlation of the site of brain lesions, identified by imaging or neuropathological examination, with defective smooth…
Descriptors: Eye Movements, Neurology, Motion, Brain
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Nieuwenhuis, Sander; Jepma, Marieke; La Fors, Sabrina; Olivers, Christian N. L. – Brain and Cognition, 2008
The attentional blink refers to the transient impairment in perceiving the 2nd of two targets presented in close temporal proximity in a rapid serial visual presentation (RSVP) stream. The purpose of this study was to examine the effect on human attentional-blink performance of disrupting the function of the magnocellular pathway--a major…
Descriptors: Stimuli, Children, Visual Stimuli, Attention
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