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Of Rats and Men: How Stress Affects the Brain

How stress affects the brain

You have probably experienced that feeling of not being as mentally sharp as normal when you are under a lot of stress. Recent research has demonstrated that the human brain functions less well under stress, and we now know that stress causes actual physical changes in the brain, and those changes are directly associated with a decrease in brain function.

The original research in this area was first performed with rats as subjects. Later tests with human subjects generated similar results. Let’s take a quick look at each case:

Case #1: The Rats. Bruce McEwen and John Morrison at Mount Sinai Medical Center found that in the rat’s brain under stress, nerve cells of the prefrontal cortex shrink, resulting in slower performance on attention-shifting tasks. On the other hand, neurons in the orbital frontal cortex used response-reversal tasks actually grew larger. A response-reversal task is one where a subject is reinforced for giving response A to stimulus A and response B to stimulus B. Then, they are placed in a reversed situation where they must give response B to stimulus A and response A to stimulus B. The test measures how well they can “reverse” their responses. In the face of such tasks, the plastic brains of the rats adapted to the stress stimuli and physically changed to address the conditions.

Case #2: The Humans. Conor Liston and B. J. Casey of the Sackler Institute used brain imaging to study male medical students preparing for their board exams and compared them to healthy students who were not experiencing the stress of studying for exams. The students were asked to perform two different mental tasks while their brains were being scanned with MRI. The stressed students were less able to shift their attention from one task to another and showed changes in the prefrontal cortex. Interestingly, their ability to perform response-reversal tasks was not impaired by stress; subjects were still able to “change their minds” when presented with information that changed their responses to a certain situation.

In both cases, we see experiments producing similar results when it comes to attention-shifting tasks and response-reversal tasks. Not only that, tests showed that the physiological effects were temporary in the rats as well as the humans. When Liston and Casey repeated the brain scans in their med students one month after the board exams were over -- and the stress was gone from the equation -- they found that the attention shifting ability and the brain scans of the stressed students had returned to normal.

So we are able to conclude that while stress causes changes to the brain and decreases some brain functions, the brain is able to recover fairly quickly. Once again, the research demonstrates how the plastic neural network of the brain – whether rat or human -- is constantly changing to address the stimuli it experiences and function at optimal capacity for its given external environment.

Further research on the effects of stress on the brain may help us to better understand how people respond to stress and could help in the understanding and treatment of stress-associated psychiatric disorders.

References:

Stress disrupts human thinking, but the brain can bounce back. January 27, 2009.

Related Reading:

Separating Brain Fact from Brain Fiction: Debunking a Few Neuroscience Myths

Left vs. Right: What Your Brain Hemispheres Are Really Up To

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Kindergarten Math Readiness & The Cardinal Principle

Kindergarten math readiness

Something very interesting happens in the brains of young children when they reach age four, or thereabouts.  They start to understand “how many” items are in a set—and in particular, they begin to be able to differentiate sets of “four” items or more.  This ability signals that they have discovered “the cardinal principle,” the idea that the last number reached when counting the items in a set represents the entire set.

Of the many challenging concepts that preschoolers need to master for kindergarten math readiness, the cardinal principle is one of the harder ones, and it takes about a year to develop. It is a major milestone in a child’s mathematical development, after which the child is able to demonstrate a good understanding of “how many” in a variety of ways, such as matching sets of unlike items when the number of items in each set is the same.

Most parents believe that their child’s mathematical skills are developed largely by formal schooling, but research indicates that certain kinds of parent-child interactions in the preschool years, commonly referred to as “number talk,” are a primary driver of children’s mathematical ability through at least 5th grade. Number talk includes activities such as rote counting (counting “one, two, three, four,” as when playing hide and seek), counting tangible objects such as Cheerios (“one, two, three, four Cheerios”), and labeling the number of items in a set (“there are four Cheerios”).

As with verbal literacy, there is wide variation in the math knowledge of four year olds, with a one to two year gap between children who are more mathematically advanced and their less advanced peers.  Children with more exposure to number talk, and specifically to number talk about sets of four or more items, catch on to the cardinal principle faster than those who engage in less number talk or in number talk that focuses mostly on smaller sets of one to three items.

Unfortunately, few parents are informed about how kindergarten math readiness develops, and they tend not to know which math skills are developmentally appropriate for their child in the preschool years.  For example, parents often do not realize that their young child, who can easily count to 10, may not be able to identify a group of 10 objects.  Parents also tend to spend more time engaged in number talk around smaller sets of one to three items instead of larger sets of four and more, while the opposite has been shown to be more beneficial.

How to Encourage Kindergarten Math Readiness

There are simple things that parents and caregivers can do to help preschoolers learn about numbers and prepare for kindergarten math:

  • Ask children to count objects they can touch, such as Cheerios, pieces of cheese, or blocks, and objects they can see, like pictures of dogs on a page of the book Go, Dog. Go!
  • Label the number of items in sets of objects children use throughout the day.  For example, “You have six crayons.”
  • When counting tangible objects, label the number of items in the set, too, to point children toward the crux of the cardinal principle—that the last number counted represents the entire set of objects.  For example, “one, two, three, four crackers; you have four crackers.”
  • Talk about larger sets more often.  What children learn about larger sets helps them perform better on tasks involving smaller sets as well.
  • Expose children to age-appropriate, educational math games for preschoolers, such as the Eddy’s Number Party!™ game, a new iPad app from Scientific Learning that develops counting, number matching skills, and more.  The game, designed with cognitive scientists and educators, is based on research into how the brain learns.

Perhaps one day in the not-too-distant future, public awareness of the importance of building preschool math literacy will match that of building preschool verbal literacy.  But for now, parents and caregivers who are in the know can begin to engage preschoolers with the right kinds of activities to give them an edge in developing the early childhood math skills needed for success throughout the elementary grades. 

I encourage you to try the some of the tips outlined above if you have young children of your own and to share this article with other parents of preschool-age kids, as we work together to raise our children’s opportunities for future success.

For further reading:

Gunderson, E. A., Levine, S. C., Some types of parent number talk count more than others: relations between parents’ input and children’s cardinal-number knowledge. Developmental science. 14:5 (2011), pp 1021–1032.

Related Reading:

Introducing the Eddy's Number Party! Game - the First iPad App from Scientific Learning

Still the Write Stuff: Why We Must Continue Teaching Handwriting

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Recognizing Emotions After Brain Injury: Re-Learning a Critical Social Skill

Brain injury

For most of us, interpreting and expressing emotion is something deeply instinctive. But what happens when that ability to express ourselves or read another’s emotions goes awry? Imagine what can happen to a student’s classroom experience if they can’t make sense of something as simple as their teacher’s facial expression. In the past, these kinds of students have been seen as having behavior problems. So how can we help them succeed?

Research has shown that people with traumatic brain injuries often experience this same inability to interpret and respond to emotions, a condition called "affect recognition."

Barry Willer, professor of psychiatry and specialist in TBI (traumatic brain injury) of the University of Buffalo, tells the story of a man and his wife who came into his office with a problem. The woman had experienced a mild traumatic brain injury. While her husband was supporting her recovery as best he could, she consistently described his attitude as “indifferent. “ He was frustrated, to say the least.

“His wife didn’t know she wasn’t recognizing his emotions,” said Willer, recounting the story in a 2009 interview with Insciences Journal , “and he had no idea what was going on.”

This couple is by no means alone. Nearly fifty percent of all traumatic brain injuries result in problems interpreting and expressing emotion.

As educators, being able to connect with our students at an emotional level is essential to classroom success. Without that connection, the learning process can quite easily come to a halt. Thankfully, Willer has demonstrated that there is hope for this population, and that the human brain is quite capable of re-learning how to understand facial expressions and use that information to interpret emotion.

Willer and his team have developed two specific interventions that have shown positive results:

  • Facial Affect Recognition (FAR): Individuals view faces on a computer screen that directs them to concentrate on specific elements of each face. "Look at the eyes. What are the eyes doing? What is the mouth doing?" and asks them to name the emotion.
  • Stories of Emotional Inference (SEI): Participants are asked to read stories that describe events, along with character’s beliefs, wants and behaviors. From this information, participants are asked to infer the character’s emotions.

"What was so exciting about our preliminary study," says Willer, "is that someone may lose the ability to recognize emotions, but even 10 years later, they can re–learn the skill if given the right assistance."

As it turns out, the only emotion that traumatic brain injuries do not erase is "happy," which is very hard–wired and has an extensive amount of "redundant circuitry." Says Willer, "I don’t know how that happened, but we all can be glad it did."

For further reading:  Milders, M., Fuchs, S., & Crawford, J. R. Neuropsychological impairments and changes in emotional and social behaviour following severe traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 25, 2003. 157-172.

Related Reading:

Lifelong Learning and the Plastic Brain

5 Paths to Brain Health: Tips From Dr. Paul Nussbaum

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Neural Prostheses: The Melding of Hardware, Software and Wetware

Neural prosthetics

Earlier this year, I wrote about a researcher named Dr. Miguel Nicolelis at Duke University Medical Center and his work with a monkey named Aurora. Through placing implants in Aurora’s skull, Nicolelis was able to record Aurora’s motor nerve signals as she used a joystick to play a simple video game. He then used a computer algorithm to convert those signals into code to power a robotic arm. Over time, because of her brain’s ability to adapt and learn, Aurora taught herself how to control the movements of that robotic arm by just thinking about it.

What we see in Nicolelis’s work is the complex interplay of three different elements of a neural prosthetic system: hardware, software, and what has been come to be known as “wetware.”

  • Hardware refers to the machine part of the system. This consists of the wires, computers, circuits, implants and manufactured devices that comprise the system.
  • Software refers to the set of instructions, data and algorithms – in other words, the set of rules – that govern the function and operation of the hardware.
  • Wetware refers to the combination of biological elements involved in the system, generally including muscles, hormones, nerves and the brain.

Through choreographing the delicate dance between these three systemic elements, biomedical professionals are becoming more able to develop neural prosthetics that continue to improve the quality of life for any number of disabilities, substituting motor, sensory or cognitive capabilities that have been damaged as a result of injury or disease.

Today, biomedical research has given rise to any number of neural prostheses. Visual prosthetics stimulate the optic nerve to counter certain types of blindness. Spinal cord stimulators induce sensations to mask and control pain. Pacemakers work with the muscle and nerves of the heart to monitor and regulate the heartbeat and control fibrillation.

One of the most common applications of the neural prosthesis concept is in the cochlear implant. Dr. Michael Merzenich, professor emeritus and neuroscientist, was the Principal Investigator back during the development of the first cochlear implants at the University of California, San Francisco. The work showed that in as little as six months, patients were able to develop remarkable speech discrimination abilities. It was found that speech discrimination abilities improved over time due to the brain’s plastic ability to change and adapt to these new inputs.

According to the NIH’s National Institute on Deafness and Other Communications Disorders, over 59,000 adults and children have cochlear implants. Just like Aurora’s robotic arm, a cochlear implant involves the integration of hardware, software and wetware. But instead of using motor neurons to articulate robotic fingers, cochlear implants form the technological bridge between the world of sound and the ability to perceive that sound in someone whose ears cannot convert sound vibrations to a nerve impulse. While the ones we developed had a single channel, today’s devices have up to 120, which allows for better input fidelity through stimulating different parts of the auditory nerve.

Of the three elements of the neural prosthetic system, hardware, software and wetware, the only one of them that can be expected – even depended upon – to change over time is the wetware. Both because of normal development and brain plasticity, an individual’s ability to effectively use neural prosthetic will naturally change over time as the individual’s own nervous system adapts to make better use of the hardware and software.

As Dr. Nicolelis demonstrated with Aurora, wetware is an amazingly malleable apparatus. We might imagine these neural prosthetic systems as fantastically complex in terms of their hardware and software. That said, research out of the University of Washington, Seattle, has suggested that, because of brain plasticity, we may be able to use simpler algorithms in the external hardware and software, and depend upon the plasticity of the wetware to make optimal use of these devices.

In the end, we as humans, with our drive to heal and discover, seem to have a limitless ability to develop innovations to remedy our physical ills. And yet, it is the plasticity of our nervous system’s innate ability to adapt that will apparently allow us to make the most of these innovations.

For further reading:

Fallon, J. B., Irvine, D. Shepherd, R. Neural Prostheses and Brain Plasticity. J Neural Eng. 2009 December.

Moritz, C. T., Perlmutter, S. I., Ftez, E. E. Direct Control of Paralysed Muscles by Cortical Neurons. Nature. 2008 December.

Related Reading:

A Gymnast, A Cursor, and A Monkey Named Aurora

Dr. Martha Burns on Brain Plasticity

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Separating Brain Fact from Brain Fiction: Debunking a Few Neuroscience Myths

Brain and neuroscience myths

The brain is one of the most mysterious and misunderstood organs in the body. It represents the seat of our judgment, our senses, perceptions and our creativity.  More than any other aspect of our anatomy, the uniqueness of our brains is at the core of what makes us truly human.

While neuroscience advances every day, there are a number of myths about the brain that are accepted by many people as fact. As a scientist, I and my colleagues have worked to uncover the brain’s truths.  So what are some of these myths – and what are the true stories behind them to the best of our scientific knowledge?

Fiction: We use only a small percentage of our brains.

Fact: General thinking is that we use only about 10% of our brains. Nothing could be further from the truth. Brain scans such as MRI and PET scans show that we regularly use all parts of our brains. Certainly, different areas of the brain are activated during different types of tasks, and some parts of the brain are less critical to support vital functions than others. But as even small brain injuries can show, every part of the brain performs essential functions in how we process, communicate with, and move through the world around us. Read more at http://www.scientificamerican.com/article.cfm?id=do-we-really-use-only-10.

Fiction: The wrinkles on the surface of the brain appear and become more pronounced as we learn.

Fact: The ridges and crannies – more correctly, the gyri and sulci – on the surface of the brain actually all appear by the time a fetus is 40 weeks old. As the human brain evolved, gyri and sulci appeared as a result of the brain having to fold in upon itself as it grew larger to fit inside a correctly proportioned skull. While the gyri and sulci do not change as we learn, the brain itself – as we know from research in brain plasticity --  does continue to change throughout our lives.

Fiction: Brain damage is permanent.

This is an interesting myth, in that it is the result of ambiguous language. The brain is made up of a collection of neurons – brain cells – that are all networked together. When the brain suffers trauma and neurons are destroyed or damaged, those neurons cannot regenerate. In that sense, the damage to them is permanent. That said, those neurons are linked together at synapses to form complete networks. While a single neuron cannot be repaired, the pathways and connections throughout the brain can rewire themselves and form new pathways. If a connection is lost due to injury, we can reestablish that connection if the damage is not so acute that the entire network cannot be rewired. For a scholarly treatment of how the brain recovers from injury, see http://web.uvic.ca/~skelton/Teaching/General%20Readings/Robertson%20Murre%201999.pdf.

Fiction: A person is either “left-brained” or “right-brained.”

The theory goes that left-brained people are more logical and right-brained people are more creative. Certainly there are asymmetries associated with locations of certain brain functions. For example, mathematical computation and the grammar and vocabulary aspects of language seem to be controlled in most people in the left brain, while numerical approximation and comparison, along with interpretive aspects of language like prosody and intonation, appear to be controlled in the right.  These ideas date back to original research done in 1861 by French physician Pierre Paul Broca. Today, through MRI and PET imaging techniques, we have a much more complex view of the way the brain’s hemispheres control functions and interact with one another. The two perform a complex dance of information exchange that gives rise to our abilities. For a look at results of some of these MRI tests in children, see http://www.ncbi.nlm.nih.gov/pubmed/8780075.

Fiction: There are five senses: sight, smell, hearing, taste and touch.

These five are simply the ones that we are most aware of in our conscious minds, but we perceive and sense the world in a great many other ways. For example, “proprioconception” describes how our bodies are oriented in the world. “Nociception” is how we perceive pain. We sense changes in temperature. We sense balance. We feel thirst and hunger. We sense the passage of time. For a quick and easy description of the senses – in humans as well as other species – see http://en.wikipedia.org/wiki/Sense.

As scientists continue our search for the facts, there is much we don’t know; we are expanding our knowledge of the brain’s truths every day. As new discoveries are made, it is natural for facts to become distorted and reinterpreted with each new telling.   As educators and scientists, we should take the time to explain the truths about the brain and rectify any misunderstandings we may hear others repeat. The brain is amazing, and communicating the truths about it will further society’s understanding as a whole.

Related Reading:

Dr. Martha Burns on Brain Plasticity

How Learning to Read Improves Brain Function

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Building a Foundation for School Readiness for Low Income Children

School readiness

As educators with experience in child development, we understand the essential nature of being responsive to a child. Children who do not receive enough attention do not develop in the same way as those who receive consistent nurturing and feedback. Research has demonstrated how, at a physiological level – their brains simply wire themselves differently as they develop. This deficit in early childhood experiences often manifests itself as developmental delays across a wide spectrum of behaviors. These behavioral delays appear in parallel with delays in brain development.

Imagine a child growing up in a home where sensitive, responsive caregiving is rare. Maybe mom and/or dad work more hours and are simply not available. Maybe they come home too tired to read or play or simply snuggle with the child. Or, this is an environment where sensitive, responsive nurturing is not valued very highly. While it is not the case in every situation like this, at its extreme, the parent or parents may be truly neglecting the child’s needs at this early stage. Even moderate differences in these important parent-child interactions have important longer-term consequences for development.

Research has shown that in these situations a child’s brain development quickly gets derailed. Children who do not receive enough of what is known as “sensitive-response caregiving” and cognitive stimulation do not develop executive function skills as readily as their counterparts in more caring, stimulating environments. (Lengua et al., 2007; Li-Grining, 2007) In other words, children may not be encouraged to be aware of and interact with the world around them (cognitive stimulation). They also may not be encouraged to engage or develop planning, decision-making or troubleshooting skills (executive function).

Executive functions, also known as “domain-general” functions, are those called upon in various types of learning opportunities; these include such functions as working memory, regulation of emotions and attentional control. On the other hand, a “domain-specific” cognitive process is one that represents a specific skill or skill area, such as reading or counting.

But what are the implications as children grow and enter school? Recently, a team of researchers led by Janet Welsh at Penn State studied readiness for school in a group of Head Start children and how certain cognitive processes were associated with the development of certain skills. Specifically, they studied the relationship between domain-general and domain-specific cognitive processes in these low-income pre-kindergartners, and tracked them through kindergarten.

Welsh‘s study showed that skills scaffolded consistently from one level to the next, and these skill levels represented good indicators of how well the child would develop the next set of skills. In other words, good working memory and attention control predicted the development of early literacy and numeracy skills, and these skills were predictors of later math and reading achievement.

Whether through experience in the home, great work in the pre-kindergarten classroom and/or support from computer-based learning exercises, it is clearly essential that we support the early development of domain-general cognitive skills as early and as strongly as possible.

While this may seem obvious, Welsh’s research underscores the essential nature of laying a foundation in those executive functions, those domain-general cognitive abilities, for each and every student – but especially for those at an economic disadvantage if we are to close the gaps and truly offer the same opportunities to every student.

Read the full study: The Development of Cognitive Skills and Gains in Academic School Readiness for Children From Low-Income Families, Janet A. Welsh, Robert L. Nix, Clancy Blair, Karen L. Bierman, and Keith E. Nelson. Journal of Educational Psychology, 2010, Volume 102, Number 1, p. 43-53.

For further reading:    

Family Involvement in School and Low-Income Children's Literacy Performance, Eric Dearing, Holly Kreider, Sandra Simpkins, and Heather Weiss. Harvard Family Research Project. January 2007.

Early Care and Education for Children in Low-Income Families Patterns of Use, Quality, and Potential Policy Implications, Gina Adams, Kathryn Tout, and Martha Zaslow. Prepared for the Urban Institute and Child Trends. January 2006, revised May 2007.

The impact of poverty on educational outcomes for children, HB Ferguson, S Bovaird, and MP Mueller. Paediatr Child Health. October 2007. 12(8): 701–706.

Related Reading:

Building Unstructured Play Into the Structure of Each Day

Lifelong Learning and the Plastic Brain

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Categories: Brain Research, Education Trends, Reading & Learning

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How Learning and Literacy Enhance Our Brains

Learning and literacy

Reading is a recent cultural invention. It is not a skill we are naturally programmed to develop like walking or vocalizing. It is a relatively recent development in human history estimated to be only about 6000 years old. The development of oral language in humans is believed to be nearly 300,000 years old.  Oral language is thought to have co-developed with the use of tools as both require complex motor control.

To quote from the recent book Reading in the Brain (Dehaene, 2009): "At this very moment, your brain is accomplishing an amazing feat­—reading. Four or five times per second, your gaze stops just long enough to recognize one or two words.  You are, of course, unaware of this jerky intake of information.  Only the sounds and meanings of the words reach your conscious mind.  But how can a few black marks projected onto your retina evoke an entire universe?"[i]  

In 2010, Stanislas Dehaene, et al. published a study which evaluated whether learning to read improves brain function, and also whether there are tradeoffs for such learning.[ii] In other words, does learning to read “occupy” a space in the brain that could or would be used for something else in our evolutionary past?

Dehaene and his research team have used functional magnetic resonance imaging (fMRI) to measure how the brain responded to various stimuli, including spoken and written language, visual faces, houses, tools, and checkers in a group of literate and illiterate adults. Ten were illiterate, 22 learned to read as adults, and 31 learned to read as children.

In the end, their studies generated a number of fascinating conclusions. Literacy—no matter at what point in life the skill is acquired, in youth or as an adult—enhances brain response in three ways:

  1. It boosts the organization of the visual cortex. Located toward the back of the brain, this is the area that processes visual information.
  2. It allows the area of the brain responsible for spoken language—the planum temprale—to be activated by written sentences.
  3. It refines how the brain processes spoken language.

Granted, there is much more detail to understand behind these conclusions, and I certainly invite you to read the entire article. Still, for us as educators, these conclusions hold useful insights.

In being aware of how literacy is related to these other skills, such as speaking and visual processing, we can use this information as yet another tool to help us better understand what we can expect from our students, no matter their ages. If they come into our classroom able to read, we know that we can expect them to have greater capacity for speech. If they come in with fewer or no reading skills, we might want to be aware that they might have challenges in processing visual input. 

Given these conclusions, the more we can continue to develop technology solutions that can teach while detecting deficiencies and adapt to student needs “on the fly,” the better we will be able to individualize instruction, fill in gaps in learning and strengthen essential skills.

As these scientists continue their investigations and the research sheds more light on how reading affects brain processing, we as educators will continue to increase our abilities to make better targeted instructional decisions that will help every individual student achieve optimal success.

[i] Dehaene, Stanislas. Reading in the Brain. Penguin Viking Publishing. November, 2009.

[ii] Dehaene, Stanislas et. al.How Learning to Read Changes the Cortical Networks for Vision and Language. 2010.

Related Reading:

How Learning to Read Improves Brain Function

The Essential Nature of Developing Oral Reading Fluency

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The Essential Nature of Developing Oral Reading Fluency

Oral reading fluency

As we head into summer break, the farthest thing from most of our minds is the first day of school. That said, that day is surely on its way. And while day one is always unpredictable, the kindergarten and first grade teachers know that better than anyone: you never know what skills those students will have when they come in the door.

While evaluating each student’s capabilities is by no means an easy task, we can get a head start through having a solid understanding of how the brain learns best and under what conditions. If we can understand that, we can more effectively direct children’s learning and give them what their hungry brains need so they learn with optimal effectiveness.

When it comes to reading skills, children show up on that first day of school with an incredible variety of experience. Many have parents who have read to them every day since day one. Many have constant access to books and other materials to promote pre-literacy. At the same time, many have parents with busy lives who have not made that commitment to reading, or parents who simply do not understand the importance of these early literacy experiences and simply to not cultivate these skills. Judgment aside, it is up to educators in these classrooms to apply the latest research-based knowledge to ensure success for each student and bring the class along as a whole as effectively as possible.

Of course, standardized assessments help us to zero in on needs. But even once we understand those needs, how can an educator focus their efforts to cultivate success for a group with disparate skill levels? One way, as stated above, is to understand the brain and how it builds skills. What are the first skills that educators should focus on in terms of reading skills so that students can continue to build success?

A study in 2010 by Young-Suk Kim, Christopher Schatschneider and Barbara Foorman of Florida State University and Yaacov Petscher, all in association with the Florida Center for Reading Research, posed this very question. Their study looked at how growth in oral reading fluency, vocabulary, phonological awareness, letter-naming fluency, and nonsense word reading fluency skills related to reading comprehension skills.

Interestingly, through their study of all these skills areas or “predictors,” they learned that the greatest predictor of a child’s ability to develop comprehension skills by the third grade was their growth rate in oral reading fluency early on in the first grade.[i]

This study tells us that, as early as possible in first grade, educators need to both get a bearing on each student’s oral reading fluency capabilities and encourage development of those skills as quickly as possible to lay the foundation for the development of subsequent skills.

That said, from a practical perspective, what kinds of activities are best for developing oral reading fluency? Here are a few:

  • Modeling: Reading to children allows them to hear the sound, rhythm and phrasing of language.
  • Vocabulary Development: Since fluency depends upon the reader’s ability to quickly recognize and decode words on sight, having a solid vocabulary foundation and a bank of sight words to draw upon is key.
  • Choral Reading: Reading along out loud with a student and following along in a text together allows educators to help students experience hearing and sounding out words at the same time.
  • Silent Sustained Reading (SSR): Through SSR students get the freedom to develop their own taste for reading, unfettered by the pressures and anxieties of reading aloud. SSR both increases motivation and ability to focus.
  • Guided Oral Reading: Oral reading by a student with guidance and feedback from a patient coach allows children to apply and build their phonics skills to sound out words and helps them crack the alphabetic code. Repetitive oral reading helps these children increase their familiarity with vocabulary and pronunciation while increasing reading fluency. The connection between reading fluency and comprehension is strong, in part because it facilitates the efficient use of language working memory.

Part of the wonder and excitement of being an elementary school teacher certainly comes from that experience of getting to know the new set of students, with all their smiles and faults, talents and deficiencies. If we can focus on—and have some fun with—developing oral reading fluency with our youngest students, research shows that we should be setting each individual, as well as the class as a whole, on the road to reading success.

For more detail on the above methods and access to helpful reading resources and to learn how computers can provide accurate, patient guided oral reading for all students, visit http://www.scilearn.com/products/reading-assistant/.

[i] Kim, Y S. Petscher, Y. Schatschneider, C. Does growth Rate in Oral Reading Fluency Matter in Predicting Reading Comprehension Achievement. Journal of Educational Psychology. 2010. 102:3. 652-667.

Related Reading:

Engaging Children in the World with Words

How Learning to Read Improves Brain Function

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Categories: Brain Fitness, Education Trends, Reading & Learning

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A Gymnast, a Cursor and a Monkey Named Aurora

Technology in education

Consider for a moment an athlete’s body, let’s say, a gymnast’s form. Not only does she have a highly trained musculature, but maybe more importantly, through her years of training, she has developed a greater ability to coordinate her physical movements. In the same way that her muscles have become stronger through physical training, her nervous system—via brain plasticity and the ability of the brain to grow and adapt based on stimuli—has likewise become more able to efficiently respond to the demands she is placing upon her mind and body.

For years, researchers have been investigating how the brain interfaces with the body in an effort to decipher the electrical language of mind. Research like that of Dr. Miguel Nicolelis at Duke University Medical Center has demonstrated that this language can be understood and harnessed to do things like power robotic prosthetics.

However controversial you might consider his work, Dr. Nicolelis’s discoveries are nothing short of—pardon the phrase—mind-bending, and are directly relevant to our talk about brain plasticity. In brief, Dr. Nicolelis’s recent research has focused on working with a rhesus monkey named Aurora. In short, through implants in her skull, Nicolelis was able to record Aurora’s motor nerve signals as she used a joystick to play a simple video game. He then used a computer algorithm to convert those signals into code to power a robotic arm. This led to two results.

First, as Aurora observed her own motions mimicked in the movements of the robotic arm, she began to be able to control the movements of the robot with her thoughts, and was able to use it to successfully manipulate the robotic arm to play the video game. What’s more, she figured out that she could control the robotic arm with her thoughts alone and without having to move her own arm and began to do so spontaneously. (See this article from Scientific American for detail, or read an excerpt about Aurora from Nicolelis’s book, Beyond Boundaries: The New Neuroscience of Connecting Brains with Machines and How it Will Change Our Lives.)


Likewise, this same ability has been documented in humans. Researchers at the University of Washington mapped signals from the surface of human subjects’ brains and harnessed them to control the movement of a computer cursor on a screen. With only ten minutes of training, subjects were able to figure out how to move the cursor using their minds alone. Maybe more importantly, “brain signals from imagined movement became significantly stronger than when actually performing the physical motion.”[i] According to Rajesh Rao, a UW associate professor of computer science and engineering, “the rapid augmentation of activity during this type of learning bears testimony to the remarkable plasticity of the brain as it learns to control a non-biological device.”[ii]

Because of brain plasticity and the ability of the mind to quickly adapt to such situations and deliver stronger signals through such training, robotic prosthetics that directly respond to thought are almost in humanity’s grasp; we’re beyond the phase of discovery and are now into the fine tuning to make the innovation truly useful. While such developments may not allow a paraplegic to jump out of a wheelchair and turn summersaults next week like our gymnast, the simple ability that so many of us take for granted, such as walking across a room, might be available within our lifetime.

[i] Brain-Controlled Cursor Doubles as a Neural Workout. ScienceDaily. February 16, 2010.

[ii] Ibid.

For further reading:

Related Reading:

Dr. Martha Burns on Brain Plasticity

3 Fun Brain Activities for Kids

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Engaging Children in the World with Words

Engaging children

As we all know, the rudimentary elements of language are established at the earliest ages. From a baby’s first months, they instinctively begin listening and forming the neurological groundwork for what will become their abilities to understand language, as well as speak and read.

While there are numerous studies around the topic, I’d like to take you through a simple series of imaginary scenarios to demonstrate the importance of this point—for children as well as for those of us in charge of their learning.

First, imagine the world from the baby’s point of view. They observe, see the shapes and colors around them, and as they do, they hear the voices of their parents, and they begin associating certain sounds with the surrounding world. Now, imagine how the understanding of that process—as a teaching tool in the hands of a conscientious parent—can shape that child’s abilities from the earliest of ages.

Scenario 1: A parent—let’s call her Jane—is walking down the street, slowly because she is holding her young toddler’s hand. Suddenly, a loud siren screams and around the corner comes a gleaming fire engine. Jane quickly points to it, looks into her child’s concerned eyes, smiles and says, "Loud!" As the fire engine goes by, it splashes through a great puddle in the road, spraying the two with water. Jane says, smiling and laughing, "Ohhh, no! Wet! We got wet!" Jane’s child begins to smile and laugh, too.

Scenario 2: Another parent, Carol, has her child in a stroller and is walking at a brisk clip. She is conducting business with the cell phone in one hand and is pushing the stroller with the other. They are enjoying the sunshine, and the child is calmly, quietly watching the world go by. Suddenly, a loud siren screams and around the corner comes a gleaming fire engine. Carol says, "Oh, darn it. Can you hold on a sec?" into her phone. Her child, startled by the loud noise, begins to sob, but Carol doesn’t know it because she’s watching the fire engine pass and can’t hear her child because of the siren. As the fire engine goes by, it splashes through a great puddle in the road, spraying the two with water. Carol, with fury and frustration in her voice, says, "DARN IT! Can I call you back later? I just got soaked." By this time, Carol is genuinely angry and her child is wholeheartedly crying.

In these brief images, with so much playing out in terms of outward attitudes and reactions to circumstances, and we can even look ahead to possible bonding issues. But let’s think specifically about language. What has the child—as well as the parent—in scenario one gained and the child in scenario two lost?

While Carol’s child has witnessed frustration and fear in the face of incoming stimulus, Jane’s child has experienced the world through a comforting, loving, happy interpretive filter. In short, we cannot underestimate the importance of simply being engaged with the children in our lives. As teachers, encouraging the parents we encounter to be as connected and involved in their children’s lives as early as possible.

Related Reading:

The Speech and Language Connection: The Nursery Rhyme Effect (Part 1)

Let’s Get Engaged!

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Categories: Brain Fitness, Family Focus, Reading & Learning

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