The brain must strike a balance between reliable information processing and adaptation to an ever-changing environment. At a gross anatomical level, the brain's wiring diagram is believed to be relatively set after development. Therefore, a fundamental question arises: how does stereotyped wiring lead to flexible dynamics, computation, and…

Procedural learning and automatization have widely been studied in behavioral psychology and typically involves a rapid improvement, followed by a plateau in performance throughout repeated training. More recently, brain imaging studies have implicated frontal-striatal brain circuits in skill learning. However, it is largely unknown whether…

Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…

Virtual Reality (VR) has gained popularity in educational fields enabling new learning possibilities. In the implementation process, VR could improve learning by increasing positive affective and cognitive processing, whereas VR also could hurt learning by increasing distraction and leading to poorer learning outcomes. Thus, understanding the…

Are there really "right-brained" and "left-brained" learners? The argument of left- and right-brain learning is the second most pervasive neuromyth in education. In this article, we debunk this myth by distinguishing fact from fiction. Each hemisphere indeed shows dominance in processing certain types of cognitive function.…

The human brain is a flexible information processing system. Across a range of simple and complex tasks, such as walking across the street to playing basketball, the brain transforms sensory information from the environment into corresponding motor actions. This sensory input to motor output transformation likely requires a sequence of complex…

This study reports the findings of a mixed-methods investigation into learning and cognition that has been theoretically and methodologically positioned as embodied. Embodied learning places pedagogical value on the biophysiologically dependent nature of learning on the development of the central nervous system. Rooted in empirical evidence of…

Purpose: The purpose of this study is to investigate the effects of the remote training process on distance learning with the application of neurometrics and investigate the features of the training that promote better synchronization between trainers and trainees in terms of cognitive and emotional processes favorable to learning, during a…

The objective of this research was as follows: 1) to synthesise the Personalized Cognitive Counseling Process to Promote Digital Health. 2) to develop the Personalized Cognitive Counseling Process to Promote Digital Health. 3) to evaluate the Personalized Cognitive Counseling Process to Promote Digital Health. The documentary research method was…

Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…

Plasticity is a neural phenomenon in which experience induces long-lasting changes to neuronal circuits and is at the center of most neurobiological theories of learning and memory. However, too much plasticity is maladaptive and must be balanced with substrate stability. Area CA3 of the hippocampus provides such a balance via hemispheric…

This research delves into the comparative analysis of brain activity using gamification in the classroom versus traditional teaching. This study aims to employ neurotechnology to record and analyse the impact of active gamification methodology on relevant variables in the learning process within a traditional university education setting,…

Background: Many students struggle with mathematics difficulties, such as arithmetic problem-solving, intuitive geometry concepts and learning disabilities. Currently, there is an increasingly interesting in applying neuroscientific research paradigms to elucidate mathematical thinking and neural mechanisms that underlie academic achievement. On…

Over the past twenty-five years, or so, considerable advances have been made in understanding how learning occurs in the brain, though much of this research is still to make its way into education. One contribution it should be making is to furnish the philosophical critique of past and current theory with supporting empirical evidence. For…

Background/Purpose: This study investigates the integration of neuropedagogy, neuroimaging, artificial intelligence (AI), and deep learning in educational systems. The research aims to elucidate how these technologies can be synergistically applied to optimize learning processes based on individual neurocognitive profiles, thereby enhancing…