Humans accumulate knowledge throughout their entire lives. In what ways does this accumulation of knowledge influence learning of new information? Are there age-related differences in the way prior knowledge is leveraged for remembering new information? We review studies that have investigated these questions, focusing on those that have used the…

In this beautifully-written book, the authors skip across the many bridges that connect neuroscience to education, creating a wonderful resource for educators. They consider all the elements that an understanding of neuroscience can bring to education in a highly accessible manner, focusing on emotions and spiritual meaning as well as more…

The Neurosequential Model in Education (NME) is described as a developmentally sensitive and biologically respectful approach to development and learning. This paper postulates that the NME shares many commonalities with the Montessori Method in that it, too, is developmentally sensitive and adheres to biologically respectful concepts. This paper…

The neural bases of cognition may be greatly informed by relating temporally defined developmental changes in behavior with concurrent alterations in neural function. A robust improvement in performance in spatial learning and memory tasks occurs at 3 wk of age in rodents. We reported that the developmental increase of spontaneous alternation in a…

Changes in their brains, combined with a greater awareness of peers and events around them, make adolescence a key time for students to figure out who they are, what they aspire to be, and what they want to do in the world. This Alliance for Excellent Education report explores how human identity and self-regulation develop during adolescence and…

There are several myths about neuroscientific findings that are widespread in education. Some of these myths are left brain/right brain, critical periods for learning, and gender differences in the brain. Belief in these "neuromyths" can negatively affect how we teach children. But ignoring important findings from neuroscience can be just as…

This research brief explores how emotions and relationships drive learning and are a fundamental part of how our brains develop. The authors explain how emotionally safe and cognitively stimulating environments contribute to brain development; how brain development that supports learning depends on social experiences; and how sensitive periods in…

Executive function (EF) skills are the attention-regulation skills that make it possible to sustain attention, keep goals and information in mind, refrain from responding immediately, resist distraction, tolerate frustration, consider the consequences of different behaviors, reflect on past experiences, and plan for the future. As EF research…

Oversimplification or inappropriate interpretation of complex neuroscience research is widespread among curricula claiming that brain-based approaches are effective for improved learning and retention. We examine recent curricula claiming to be based on neuroscience research, discuss the implications of such misinterpretation for special…

The National Council of Teachers of Mathematics (NCTM) poses constructivist ideas in its "Principles and Standards for School Mathematics" (2000). NCTM supports mathematics instruction that takes a developmental perspective; starts and builds on what children know; and leads children to construct relational understanding, problem-solving…

Hebbian learning is a biologically plausible and ecologically valid learning mechanism. In Hebbian learning, "units that fire together, wire together". Such learning may occur at the neural level in terms of long-term potentiation (LTP) and long-term depression (LTD). Many features of Hebbian learning are relevant to developmental theorizing,…

Neural networks are applied to a theoretical subject in developmental psychology: modeling developmental transitions. Two issues that are involved will be discussed: discontinuities and acquiring qualitatively new knowledge. We will argue that by the appearance of a bifurcation, a neural network can show discontinuities and may acquire…

This paper presents autoassociator neural networks. A first section reviews the architecture of these models, common learning rules, and presents sample simulations to illustrate their abilities. In a second section, the ability of these models to account for learning phenomena such as habituation is reviewed. The contribution of these networks to…

This article deals with brain research. It discusses how a growing understanding of the way the brain functions offers new insights into the minds of students at all stages of development. Brain-based research deals with classroom-relevant concerns, such as sensory perception, attention, memory, and how emotions affect learning. The goals for…

Examination of existing empirical and theoretical literature suggests there is no conclusive support for the existence of a critical period for human speech learning. Assumption of a critical period may inhibit the search for testable hypotheses concerning observed adult-child differences in second language production. (Author/LMO)