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The Neuroscience Of Learning: 41 Terms Every Teacher Should Know - TeachThought

The Neuroscience Of Learning: 41 Terms Every Teacher Should Know - TeachThought
The Neuroscience Of Learning: 41 Terms Every Teacher Should Know by Judy Willis M.D., M.Ed., radteach.com As education continues to evolve, adding in new trends, technologies, standards, and 21st century thinking habits, there is one constant that doesn’t change. The human brain. But neuroscience isn’t exactly accessible to most educators, rarely published, and when it is, it’s often full of odd phrasing and intimidating jargon. As for the jargon, Judy Willis, teacher, neuroscientist, and consultant has put together an A-Z glossary of relevant neuroscience terms for teachers and administrators to help clarify the jargon. The best approach with a list like this is to bookmark and share the page, and comeback to it intermittently. Baby steps. 41 Neuroscience Terms Every Teacher Should Know Affective filter The affective filter an emotional state of stress in children during which they are not responsive to processing, learning, and storing new information. Amygdala Axon Brain mapping Cerebellum Related:  Inquiry learningNEUROSCIENCES

David Didau: The Learning Spy | Brain food for the thinking teacher Les quatre piliers de l’apprentissage - Stanislas Dehaene L’enfant est doté d’intuitions profondes en matière de repérage sensoriel du nombre. Avant tout apprentissage formel de la numération, il évalue et anticipe les quantités. Apprendre à compter puis à calculer équivaudrait à tout simplement tirer parti de ces circuits préexistants, et, grâce à leur plasticité, à les recycler. L’apprentissage formel de l’arithmétique se « greffe » sur le « sens du nombre » présent chez l’enfant, et sollicite la même zone cérébrale. Le maître-mot, alors, est la plasticité cérébrale. Les circuits cérébraux : des capacités disponibles dès l’origine Les circuits cérébraux qui sous-tendent les apprentissages ne sont d’ailleurs pas si variés. L’apprentissage de la lecture active une région spécifique, mais il mobilise et active aussi d’autres zones. Différentes zones du cerveau La zone de la lecture recycle un « algorithme » préexistant, celui de la reconnaissance des visages : au scanner, on voit nettement la même zone s’activer. 1. 2. 3. 4. Stanislas Dehaene

10 ways Twitter makes me a better educator 1). Twitter is the most powerful tool in helping me to take control and responsibility of my own learning. Twitter provides me what I want when I need it, which results in me not needing formalized PD to grow and develop. I am no longer dependent upon others for my learning and my growth, which is quite empowering. 2). 3). 4). 5). 6). 7). 8). 9). 10).

5 Tools to Help Students Learn How to Learn Helping students learn how to learn: That’s what most educators strive for, and that’s the goal of inquiry learning. That skill transfers to other academic subject areas and even to the workplace where employers have consistently said that they want creative, innovative and adaptive thinkers. Inquiry learning is an integrated approach that includes kinds of learning: content, literacy, information literacy, learning how to learn, and social or collaborative skills. “We want students thinking about their thinking,” said Leslie Maniotes a teacher effectiveness coach in the Denver Public Schools and one of the authors of Guided Inquiry: Learning in the 21st Century. “When they are able to see where they came from and where they got to it is very powerful for them.” A good example is a long term research project. During the process, students will go through different stages of emotions. [RELATED READING: Creating Classrooms We Need: 8 Ways Into Inquiry Learning]

Apprentissage, motivation, émotion : comment apprenons-nous Le cerveau est l'objet le plus complexe de l'univers connu, et c'est de sa compréhension que dépendra l'avenir de nos technologies futures et singulièrement l'intelligence artificielle et la robotique. A l'Inria, Frédéric Alexandre dirige le projet Mnémosyne, chargé de développer des modèles computationnels de notre fonctionnement cérébral, dans le but de développer à terme des agents autonomes, robotiques ou logiciels, qui soient physiologiquement crédibles. Autrement dit, dont l'architecture sera analogue à celle du cerveau humain. Les sciences de l'esprit, sciences cognitives et neurosciences, ont fait des progrès ces dernières années et s'attaquent à des sujets de plus en plus difficiles, a-t-il expliqué en préambule. En neurosciences, on va de la recherche sur la vision à celle des fonctions exécutives. Mais finalement, quelle est la vraie question à se poser sur l'esprit humain ? Comment garder l’information importante Commençons par l’apprentissage. Le rôle des émotions

Inquiry-Questions - home The Real Neuroscience of Creativity | Beautiful Minds So yea, you know how the left brain is really realistic, analytical, practical, organized, and logical, and the right brain is so darn creative, passionate, sensual, tasteful, colorful, vivid, and poetic? No. Just no. Stop it. Please. Thoughtful cognitive neuroscientists such as Anna Abraham, Mark Beeman, Adam Bristol, Kalina Christoff, Andreas Fink, Jeremy Gray, Adam Green, Rex Jung, John Kounios, Hikaru Takeuchi, Oshin Vartanian, Darya Zabelina and others are on the forefront of investigating what actually happens in the brain during the creative process. The latest findings from the real neuroscience of creativity suggest that the right brain/left brain distinction is not the right one when it comes to understanding how creativity is implemented in the brain.* Creativity does not involve a single brain region or single side of the brain. Importantly, many of these brain regions work as a team to get the job done, and many recruit structures from both the left and right side of the brain.

The dumbest generation? No, Twitter is making kids smarter Part of an occasional series about the way digital culture affects the way we think, learn and live. Sara: Haha there was a weird comercial for computers that had flying sumo wrestlers John: Hahaha saweeeeet I’m still tryin to picture how that works Sarah: Haha yeah so am I this opening ceremony is so weird John: It must be Sarah K: Now there’s little kids doing karate This is a typical teenage text exchange captured by an academic. Add five hours or so a day spent online, where the most common activity is yet more typing away on social networks. This outpouring often produces an anguished outcry, particularly in September as kids head back to school and screen time starts competing with homework: Technology, pundits warn, is zombifying our young and wrecking their ability to communicate clearly. But is this actually “the dumbest generation”? In fact, there’s powerful evidence that digital tools are helping young people write and think far better than in the past. Literate? It hadn’t.

m'aide à connaitre plus sur le mental de mes élèves by nathaliechemegnenzeale Apr 14

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