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Dahlstrom-Hakki, Ibrahim; Asbell-Clarke, Jodi; Rowe, Elizabeth – Mind, Brain, and Education, 2019
The value of neurocognitive measures to study memory, attention, cognition, and learning is well established. However, the vast majority of work using these tools is performed in tightly controlled lab experiments using simple lab stimuli. This article looks at the viability of using multimodal neurocognitive instruments to measure implicit…
Descriptors: Memory, Attention, Cognitive Processes, Learning
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Ng, Betsy; Ong, Aloysius Kian Keong – Journal of the Scholarship of Teaching and Learning, 2018
The purpose of this article is to offer insights into current understanding of digital learning environments (DLEs) from a neuroscientific perspective. Cognitive neuroscience methods are increasingly applied in educational research to examine the neural underpinnings of learning. As such, neuroscientific evidence can play an important role in…
Descriptors: Neurosciences, Educational Technology, Technology Uses in Education, Higher Education
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Zovkic, Iva B.; Guzman-Karlsson, Mikael C.; Sweatt, J. David – Learning & Memory, 2013
Understanding the cellular and molecular mechanisms underlying the formation and maintenance of memories is a central goal of the neuroscience community. It is well regarded that an organism's ability to lastingly adapt its behavior in response to a transient environmental stimulus relies on the central nervous system's capability for structural…
Descriptors: Memory, Learning, Genetics, Brain
Stormon-Flynn, Mary – Online Submission, 2011
A brain has the capacity to absorb a great deal of information and can make decisions about what role or roles, major or minor, that data will play in its life. While it is most likely true that we learn one new thing every day, our brain, the controller of our thoughts, can decide what number of new things we can learn and remember each day. As I…
Descriptors: Brain, Neurosciences, Learning, High School Students