The purpose of this paper is to propose an effective learning environment for the initial stages of mathematical learning. Basic numerical skills and the objects and actions that trigger those skills are conceptualized as a mathematics-learning environment. We discuss numerical learning mechanism and the basic skills and environments we use to…

Failure can be an effective tool for learning, but it comes with negative consequences. Educators and learners should practice strategies that leverage the benefits of failure while managing its negative consequences on learners' motivation and persistence. Towards that goal, this paper examines the biological effects of failure on learning to (1)…

Memory palaces are effective tools for learning vast amounts of information in a canonical order using mnemonics. However, our review of the literature revealed a lack of implementation and user study of memory palace in Virtual Reality (VR) for neuroscience education. VR technology enables us to build highly interactive virtual learning spaces…

The brain alone is a complex organ in which all sensory, intellectual, emotional, and intuitive perceptions take place. Today, one of the research challenges in teaching-learning science is the answer to the question of how much the application of findings from neuroscience studies on learning can be effective in improving the quality of…

New brain imaging methods are helping us better understand how children learn, writes neuroscientist John Gabrieli. But "education neuroscience" has become the source of both promise and debate.

Humans are inherently emotional creatures due to our social nature, and emotions are able to influence how well we learn and even affect academic outcomes. Emotions are rarely a chief concern in educational settings, and we will discuss the mechanisms underlying how emotions are processed in the brain and how they influence the key aspects of…

This chapter considers psychological and neuroscience research on how people understand the integers, and how educators can foster this understanding. The core proposal is that new, abstract mathematical concepts are built upon known, concrete mathematical concepts. For the integers, the relevant foundation is the natural numbers, which are…

Research advances in neuroscience and the developmental and learning sciences have provided us with important insights about how people learn and develop. The knowledge we now have points to important transformations in teaching practice, which in turn require transformations in educator development in order to support all educators in developing…

Authors of the newly revised Teaching with the Brain in Mind, Liesl McConchie and Eric Jensen offer whole-brain approaches teachers can take to engage students in new learning and retaining that knowledge.

To effectively promote and advocate for our dance programs, we need to educate administrators, fellow teachers, counselors, and school board members using strategies that will help them deepen their understanding of dance's impact on student learning. In this article, we discuss how dance educators can use common educational language, brain…

This paper proposes a synthesis of the science of learning into a "model" teachers can follow and apply right away in their classrooms. Recent studies in neuroscience show that that our brains appear to actively and purposefully forget most of what we learn--continually clearing out old and unneeded memories to allow us to focus on more…

Those in education committed to folk psychology (everyday talk about ourselves) reject the advances of neuroscience as the way to explain learning. Winch is one of the most determined defenders of folk psychology. Yet his account of folk psychology is weak and his rejection of neuroscience is deeply flawed. This article sets out Winch's…

We briefly discuss memory types and three modern principles of neuroscience: 1) Protein growth at the synapse, 2) the three-brain theory, and 3) the interplay of the hippocampus, the neocortex, and the prefrontal cortex. To illustrate the potential of this perspective, four applications of these principles are provided.

Knowledge tracing is a popular and successful approach to modeling student learning. In this paper we investigate whether the addition of neuroimaging observations to a knowledge tracing model enables accurate prediction of memory performance in held-out data. We propose a Hidden Markov Model of memory acquisition related to Bayesian Knowledge…

In this paper we begin to explore how knowledges being generated in bioscience might be brought into productive articulation with the Sociology of Education, considering the potential for emerging transdisciplinary, 'biosocial' approaches to enable new ways of researching and understanding pressing educational issues. In this paper, as in our…