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Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
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…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
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Atteveldt, Nienke; Tijsma, Geertje; Janssen, Tieme; Kupper, Frank – Mind, Brain, and Education, 2019
We propose a Responsible Research and Innovation (RRI) framework to improve the alignment between mind, brain, and education (MBE) research, the educational practice, and other societal stakeholders. RRI is an approach that has successfully been used in different research fields, but not yet in MBE research. After substantiating the need for, and…
Descriptors: Brain, Educational Research, Cognitive Processes, Neurosciences
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Davidesco, Ido; Matuk, Camillia; Bevilacqua, Dana; Poeppel, David; Dikker, Suzanne – Educational Researcher, 2021
Cognitive neuroscience research is typically conducted in controlled laboratory environments and therefore its contribution to our understanding of learning in real-world environments is limited. In recent years, however, portable and wearable brain devices have become more readily available for classroom-based research. Complementing existing…
Descriptors: Privacy, Neurosciences, Brain Hemisphere Functions, Teaching Methods