Time has contributed to most of our daily activities. In the field of understanding how the human brain reacted to specific learning processes, the neuroscientist supports the impact of having multiple learning sessions with the retention of knowledge. Spaced Learning is a product makes out of human's lack of capacity in retaining information and…

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…

The thriving technology penetration in all aspects of today's life and deficiency of traditional pedagogies necessitate wise adoption of modern approaches in the educational context. As a few studies concerned the simultaneous application of classical educational theories with modern technological pedagogy, the present researchers launched General…

Research from brain science and the learning sciences support the notion that human cognition is grounded in our sensorimotor engagement with the physical world and that processes of learning can be shaped by our movements and actions. Increasing recognition that effective educational interventions can be seeded with embodied actions is paralleled…

Mobile applications (apps) for learning technical scientific content are becoming increasingly popular in educational settings. Neuroscience is often considered complex and challenging for most students to understand conceptually. "iNeuron" is a recently developed iOS app that teaches basic neuroscience in the context of a series of…

Learning is a lifelong process. Personal characteristics of learners and environmental conditions will increase efficiency by using the most appropriate teaching methods and techniques according to subject 's structure. With traditional teaching methods, it is not likely to realize aims suitable for equipment required by age. For these reasons,…

A Muscle-Computer Interface (muCI) is a human-machine system that uses electromyographic (EMG) signals to communicate with a computer. Surface EMG (sEMG) signals are currently used to command robotic devices, such as robotic arms and hands, and mobile robots, such as wheelchairs. These signals reflect the motor intention of a user before the…

Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of…

Many have warned against a direct "brain scan to lesson plan" approach when attempting to transfer insights from neuroscience to the classroom. Similarly, in the effective design and implementation of learning technology, a judicious interrelation of insights associated with diverse theoretical perspectives (e.g., neuroscientific,…

In this paper, we describe the development and evaluation of a microworld-based learning environment for neuroscience. Our system, BrainExplorer, allows students to discover the way neural pathways work by interacting with a tangible user interface. By severing and reconfiguring connections, users can observe how the visual field is impaired and,…