2011 Virtual Circle of Learning Wrap-Up

• November 8, 2011 by Pam Combs

This year’s annual customer conference, Virtual Circle of Learning 2011, took place online last Friday with over 800 registrants.   The keynote speakers—Eric Jensen, Dr. Martha Burns, and Andrew Ostarello—addressed opportunities for customers to maximize the impact of their implementations of Scientific Learning products.

Much of the content from these keynotes can be seen in our Twitter stream with the hashtag #VCOL11, as we live-tweeted the keynote sessions and linked to articles relevant to each speaker’s presentation.

The articles provide further reading on increasing student motivation and engagement, maximizing the results of using Fast ForWord and Reading Assistant products, and more:

• AMPing up our teaching to increase intrinsic student motivation
• Dr. Martha Burns on Brain Plasticity
• Implementation Fidelity: Maximizing Your Fast ForWord or Reading Assistant Investment
• Nevada Department of Education: Fast ForWord is a “High-Gain Program”
• Dr. Donald Aguillard: Improving Louisiana Educational Assessment Program (LEAP) Scores in St. Mary Parish Schools
• How to improve student motivation
• What are some ways elementary teachers might use Twitter in their classrooms?
• Finding a voice through Twitter
• Retweeting History Brings Those Stories to Life

Customers who missed a keynote or breakout session can watch it on Customer Connect (customer login required).  Feel free to share the link with others at your school who were not able to attend. 

Also, be sure to complete your survey to let us know what you enjoyed and what we can improve for next year.  And, if you have an iPad, be sure to include your iTunes email address so we can give you our new iPad app, Eddy’s Number Party!

And now, off to start planning for Virtual Circle of Learning 2012!

Related Reading:

Building Fluent Readers: How Oral Reading Practice Helps Reading Comprehension

How Learning to Read Improves Brain Function

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Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Education Trends, Fast ForWord, Reading & Learning, Reading Assistant

Tags: academic success, accelerate learning, digital natives, education conference, elementary school learning, high school learning, increased test scores, literacy, memory, middle school learning, reading intervention, Scientific Learning events, student growth, success stories, technology in education, webinar

Introducing the Eddy’s Number Party! Game – the First iPad App from Scientific Learning

• October 17, 2011 by Erin Ellinwood

Hi! My name is Erin Ellinwood and I’m a product manager at Scientific Learning.   I am super excited to write about our first ever iPad App, the Eddy’s Number Party!™game, for preschool and kindergarten aged children.  Our products have always been grounded in science and built with scientific advisors, and this game is no exception.  Equally pairing early math curriculum with two critical cognitive skills, working memory and attention, Eddy’s Number Party! helps prepare kids for success in kindergarten and beyond. In the game, kids help Eddy’s friends surprise him with the biggest dog birthday party ever and practice counting, remembering, and matching numbers.

Designed for Young Learners

Our roots here at Scientific Learning are in developing cutting edge adaptive learning games for delivery on desktop or laptop computers.  Because this game targets a younger audience, we talked to teachers and educational experts to see what technology they thought would be best for preschool and kindergarten age learners.  The resounding feedback we heard was that our game would be most developmentally appropriate on the iPad.  And so, our first iPad app was born.

Makes Learning Fun (We’re Getting Great Reviews from Our Kid Testers!)

Sometimes learning can feel monotonous, especially for 3 to 5 year olds, so we added some key components to help break things up: 

• Story:  Nothing engages kids like a good story.  Since most young children love birthday parties, the game is centered around a party for the adorable dog, Eddy.  “But,” the game asks, “where are all his friends?” As kids advance through the game levels, they round up more and more friends, culminating in a fun party scene and acknowledgement of the child’s accomplishment: “You did it, you got all of Eddy’s friends to his party!”
• Bonus levels: The bonus levels add variety and keep interest while reinforcing the learning objectives.  Our cognitive science advisors call the bonus activities “palate cleansers,” a nice but productive break from the “drill”. 
• Engagement: We’ve pumped up the engagement in a big way, because we know that when it comes to kids and iPads, it’s all about fun.
• In-app sticker play: As a child masters each learning level, the game awards a sticker, but not just a regular sticker—it’s a funny “talking” sticker.   It has been so much fun to see each of our kid testers collect the stickers and get excited about creating their party!   Plus, research shows that kids benefit from a reward structure.  Stickers are a reward that preschool and kindergarten age children really identify with, and the sticker play can add hours of creative interaction.

Includes and Enables Parents

Grown-Up Central is a unique feature among apps for kids (and my favorite part of the app).  I believe that it is important to give parents the ability to review the game’s goals, tour all game levels, and learn about the underlying research and development behind the game. In addition to all of the information it provides about the app itself, Grown-Up Central also features a visual report card that shows a child’s progress and gives suggestions at each level for “what to look for” (such as a child beginning to count up from a known quantity) and how to further “bring learning to life” (such as cooking with the child from a recipe).

Being the product manager for the Eddy's Number Party! game has been a fantastic challenge, and I’m proud of the result.

I hope to see you at the party! Click here to download from Apple’s iTunes App Store or visit the App Store and search for "Eddy’s Number Party!”

And, if you like the app, please consider leaving a review in the App Store!

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Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Family Focus, Reading & Learning, Scientific Learning Research

Tags: accelerate learning, attention, brain training, cognitive skills, digital natives, early learning, how children learn, innovation, learning through play, math, memory, play, technology in education, video

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

• October 4, 2011 by Bill Jenkins, Ph.D.

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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Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Brain Fitness, Brain Research, Reading & Learning

Tags: adaptivity, behavior, brain plasticity, brain training, cognitive skills, effort, memory, processing

2011 Virtual Circle of Learning Customer Conference

• August 25, 2011 by Pam Combs

Customers, mark your calendars!   This year’s annual Scientific Learning customer conference, the 2011 Virtual Circle of Learning, will take place on November 4, bringing together Fast ForWord and Reading Assistant product users from across North America. Circle of Learning participants will get to hear the latest in brain research and learn practical applications that will benefit students immediately. 

This year’s Circle of Learning will be a 100% virtual event.  It will include the same caliber of comprehensive content and keynote speakers as in our past on-site conferences, and we’ll be actively using social media to connect participants before, during, and after the event. 

The Circle of Learning agenda features three engaging keynotes—including the ever-popular Eric Jensen (Teaching with Poverty in Mind) and Scientific Learning’s own Dr. Marty Burns (Motivating our Coaches and Teachers) and Andrew Ostarello (The Story of Data).  Breakout sessions follow, addressing the importance of attention skills, memory, processing skills, and sequencing skills, as well as a special breakout session especially for tech team members. 

Please plan to join us for this once-a-year, not-to-be-missed customer event!          

Oh, and did I mention that it is FREE?!

Related Reading:

Students who Struggle in the Mainstream: What their Homework Patterns May Tell You

Implementation Fidelity: Maximizing Your Fast ForWord or Reading Assistant Investment

Subscribe to this blog to get new blog posts right in your inbox and stay up to date on the science of learning!

Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Brain Research, Education Trends, Fast ForWord, Reading & Learning, Reading Assistant, Scientific Learning Research

Tags: attention, cognitive skills, education conference, memory, processing rate, Scientific Learning events, sequencing, technology in education, webinar

Still the Write Stuff: Why We Must Continue Teaching Handwriting

• August 23, 2011 by Sherrelle Walker, M.A.

When it comes to lost arts, we could argue that none is getting lost faster than handwriting. Since the personal computer and now the telephone have become the primary methods for recording our ideas, we simply do not write – I mean with an actual writing implement like a pen or pencil – as much as we used to.

So, we must ask ourselves, is this really a problem? Sure, one could argue that receiving a handwritten letter is more meaningful than getting one that is typed, but that’s an emotional opinion; it’s not a scientific argument. And aren’t professionals in all fields using more computers, tablets and handhelds to communicate, record and share ideas? So, what is the real value of learning handwriting skills versus being able to type 100 words per minute on a QWERTY keyboard?

At Indiana University, Dr. Karin Harman James, assistant professor in the department of psychological and brain sciences, focuses her research on how motor stimuli can influence our visual recognition, and how the brain changes as we have different experiences. This research provides a basis for a scientific argument for the continued instruction of handwriting.

In a 2008 study published in the Journal of Cognitive Science, adults were shown new characters as well as a mirror image of these characters after reproducing them through writing and keyboarding. When quizzed afterward, subjects were shown to have a “stronger, longer lasting recognition” of the characters’ correct orientation when they had written them by hand versus produced them by matching them to a keyboard button. This suggests that engaging the motor nerves to create the shapes by hand helped solidify the ability to identify such shapes.

In another study, James’ team took this idea to the next level to see what was actually going on inside the brain during these activities. They used a functional MRI to map brain activity in children as they looked at letters before and after letter-learning instruction. Their results showed that those who practiced writing the letters showed more brain activity than those who only looked at the letters. In addition, according to a 2010 report on the research in the Wall Street Journal Online, James said that after four weeks of training, the children who practiced writing skills showed brain activation similar to an adult’s.

Between these two studies, we see excellent examples of brain plasticity at work. James’ work demonstrates a clear connection between how engaging more of the brain in the activity of writing improves how letters are committed to memory. Given that letter recognition is an essential step for early readers, it’s easy to see why practicing writing letters is an essential component of the groundwork for later success.

Certainly, with limited time, schools try to maximize student achievement, and give them a baseline of skills that will allow them to continue to develop to optimize their success throughout life in an increasingly technology-based society. That said, based on James’ research, it’s quite clear that penmanship has an important place in the classroom, and not just as an important traditional skill.  In actually applying pen to paper, we allow our students to engage their brains in ways that typing on a keyboard cannot. And whether such an activity is done with pen and paper, a stylus and a tablet PC or chalk on a blackboard, it is in every student’s best interest to practice the “write” stuff.

For further reading:

The many health perks of good handwriting. Deardorff, Julie. Chicago Tribune, June 15, 2011. Referenced on August 14, 2011.

How handwriting trains the brain. Bounds, Gwendolyn. The Wall Street Journal Online, October 5, 2010. Referenced on August 14, 2011.

Writing strengthens orthography and alphabetic-coding strengthens phonology in learning to read Chinese. Guan, Connie Qun; Liu, Ying; Chan, Derek Ho Leung; Ye, Feifei; Perfetti, Charles A. Journal of Educational Psychology, Vol 103(3), Aug 2011, 509-522.

 

Related Reading:

Why Limit Screen Time? Scientific Research Explains

Ok, so you made a mistake. But look what you learned!

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Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Brain Fitness, Brain Research, Education Trends, Reading & Learning

Tags: brain development, brain plasticity, brain training, cognitive skills, creativity, digital natives, early learning, elementary learning, memory, processing, writing

Building a Foundation for School Readiness for Low Income Children

• August 16, 2011 by Bill Jenkins, Ph.D.

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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Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Brain Research, Education Trends, Reading & Learning

Tags: achievement gap, attention, brain development, cognitive skills, early learning, emotions in learning, executive function, how children learn, learning environment, literacy, math, memory, play, processing, technology in education, toddler

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

• July 12, 2011 by Martha Burns, Ph.D

In the 1980’s, brain researchers viewed the two sides of the brain as dichotomously opposed: the right hemisphere was seen as a gestalt processor, good at “seeing the big picture,” while the left hemisphere was attributed with detail processing skills. Other views at that time attributed the left hemisphere with being more logical and analytical while the right hemisphere was considered more intuitive.^[i]

Some went so far as asserting that men and women exhibited different right vs. left preferences: men were attributed with stronger left hemisphere skills and women better right hemisphere skills. Although this male-female distinction was never empirically verified through research, the somewhat “pop-psychology” view that the right hemisphere is important for skills like music and art, predominated. In fact, there were books written instructing individuals on how to “draw with the right hemisphere” or how to “teach to the right hemisphere”.^[ii]

It now appears that some of these notions need to be revised.  A current view is that, for the majority of us, the right hemisphere is a pattern recognizer that may develop before the left. From this perspective, the right hemisphere enables a child to attend to and appreciate the gist of a sensory experience within each cognitive domain. For example, in acquisition of mathematical concepts, the right hemisphere may enable a young child to appreciate quantities in terms of more vs. less prior to assigning numerical values to the quantities (which would involve left hemisphere skills). There is research demonstrating that babies can discern a group of dots in terms of general aspects of quantity.^[iii]

Patricia Kuhl at University of Washington in Seattle has shown that typically developing infants show an interest in human voices over other environmental sounds like a car horn or doorbell, and direct their attention to human voice when it conveys information that is interesting.^[iv] Ultimately this may lead to an understanding of how the melody of a voice is used to convey a person’s intent.  In other words, recent research suggests that the right hemisphere may be best at processing patterns like voice contour, facial expression, aspects of size and quantity, gestalt aspects of the world which, from a developmental perspective, represent the way children begin to learn about cognitive areas like music, art, mathematics or language.

Considering the cognitive domain of music, for example, the right hemisphere appears to have a fundamental preference for recognizing melody, which allows a young infant to be interested in and ultimately reproduce early nursery songs. In the realm of visual processing, the right hemisphere has been shown to be better at perceiving the form or outline of an object than the details contained within the object.^[v]. And, similarly, although many people regard the left hemisphere as dominant for language, newer research has shown that the right hemisphere is superior at processing information like vocal inflection (prosody), and perhaps going directly from word to meaning, especially in very familiar phrases like idiomatic expressions (eg., “it is raining cats and dogs”) while the left hemisphere is more important for processing aspects of language that depend on analyzing the specific sequence of the sounds and words which are essential for understanding grammatical form of language and perceiving internal details of words.^[vi]

Several neuroscientists have accordingly revised and expanded the early right-left dichotomy to see the right hemisphere as preferential in processing form, structure, and perhaps, direct links to emotion,^[vii]  while the left hemisphere handles complex, rapidly changing stimuli, in which discerning the specific sequential order is critical to perception (as in speech perception, for example, where one must discern and order very rapidly changing complex acoustic events very quickly.)^[viii]

Another revision to the older view of right versus left hemisphere complements the view that the right hemisphere is preferential for pattern analysis, and comes from developmental neuroscience which has reported research that supports the contention that for most cognitive skills the right hemisphere matures before the left.^[ix] This certainly seems to the case when one looks at the early stages of neuronal development and migration in the fetal brain,^[x] and also the building of early axonal superhighways, as well as the research on myelination.^[xi] In fact, it may be that when this typical right to left maturation does not occur, developmental neurological abnormalities result. For example, there is some early research evidence that Autism Spectrum Disorders may represent one example of developmental deviations in this typical right-to-left developmental hierarchy.^[xii]

Although it may seem somewhat of a stretch from the early research in this area, one can observe how this organization might be reflected in early childhood development in the stages children pass through in the gradual mastery of skills. For example, when a child first begins to enjoy music, the observant adult notices that the child moves his or her whole body to the musical rhythm. For nursery songs, like “Twinkle Twinkle Little Star” the child often begins by humming the melodies. In both cases, this may represent right hemisphere processing.

In most cases, it will be a few years before the child will be able to read musical symbols which would presumably involve more left hemisphere skill. We do have research that shows that when three month old babies are first listening to oral language, the right hemisphere is much more active than the left.^[xiii] Patricia Kuhl has shown that mothers instinctively seem to match their speech to babies’ early developing perceptual preferences by exaggerating melodic inflection with young babies, probably reflecting their intuitive knowledge that they need to exaggerate the language cues (intonational contour and vocal inflection) that the right hemisphere seems to process preferentially while deemphasizing the production of the speech sounds themselves (left hemisphere preferences).^[xiv]
 

[i] Deutsch, Georg and Sally P. Springer. Left Brain, Right Brain: Perspectives From Cognitive Neuroscience . W.H. Feeman and Company/Worth Publishers. 2001.
[ii] Edwards, Betty. Drawing on the Right Side of the Brain. Penguin Putnam Press. 1999.
[iii] Xu, Fei et al. (2005) Number sense in human infants. Developmental Science. Vol. 8. 2005.
[iv] Kuhl, Patricia. Early Language Acquisition: Cracking the Speech Code. Nature Reviews Neuroscience. Vol 5. 2005.
[v] Devinsky, Orrin and Mark D’Esposito. Neurology of Cognitive and Behavioral Disorders. Oxford University Press. 2004.
[vi] Hickok, Gregory and David Poeppel. The Cortical Organization of Speech Processing. Nature Reviews Neuroscience. 2007.
[vii]Cahill, L. et al. Sex-Related Hemispheric Lateralization of Amygdala Function in Emotionally Influenced Memory: An fMRI Investigation. Learning and Memory. Vol. 11: 261-266. 2004
[viii] Tallal, Paula. Improving Language and Liteacy is a Matter of Time. Nature Reviews Neuroscience Vol. 5. 2004.
[ix] Huttenlocher, Peter. Morphometric Study of Human Cerebral Cortex Development. Neuropsychologia. Vol. 28. 1990.
[x] Galaburda, Albert et al. From Genes to Behavior in Developmental Dyslexia. Nature Neuroscience  Vol 9. 2006.
[xi] Herbert, Martha et al. Brain Asymmetries in Autism and Developmental Language Disorder: A Nested Whole-Brain Analysis. Brain: A Journal of Neurology.2004.
[xii] Herbert, Martha et al. Ibid.
[xiii] Hickock, Gregory and David Poeppel. Ibid.
[xiv] Kuhl, Patricia. Ibid.

Related Reading:

A Gymnast, a Cursor and a Monkey Named Aurora

7 Amazing Discoveries from Brain Research

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Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Brain Research, Reading & Learning

Tags: auditory processing, brain development, cognitive skills, infant brain, Innate abilities, language learning, memory, musical training, phonemic awareness

The Need for Physically Active Learning

• July 7, 2011 by Sherrelle Walker, M.A.

The human mind is most engaged to react and perform at optimal capacity when our hearts are pumping and our blood is flowing. Any athlete will tell you that he or she feels most alive and sharp when they are in the midst of the contest, heart beating hard, mind alert and ready. Given the interconnected nature of how our brains and bodies function, how the brain gets more oxygen and works better when the heart is pumping, it’s easy to see that we are designed not only to learn, but to think best “on our feet.”

In fact, this concept extends far beyond circulation alone; physical activity has been shown to have substantive affects on brain chemistry. In 2003, Sibley and Etnier demonstrated that, for 4-18 year-olds, exercise positively impacts perception skills, IQ, achievement, verbal and math scores, development and academic readiness.^[i] Exercise can affect the release of neurotransmitters key to the learning process, such as norepinephrine (which increases blood flow to skeletal muscles as well as to the brain) and acetylcholine (which can slow the heart rate and contribute to sustained attention).

With these concepts in mind, now imagine the modern classroom. The average student sits for hours a day usually sitting still.  She shouldn’t stand up and stretch, or worse, walk around the classroom. (For goodness sake, that’s distracting to the other students and disrespectful to the teacher.) Physical education programs are getting cut due to shrinking budgets, and recess time is being cut to create more opportunities for test preparation. Obesity and diabetes are dangerously on the rise. Since the early 1970s, the number of overweight students has quadrupled from four percent to seventeen percent. (American Heart Association)

In general, the classroom becomes a place where we expect students to focus the mind and quiet the body. What we’re learning is that this is just not necessarily the best way to go. A new trend in classroom management is bringing this tradition into question. Through what is becoming known as “physically active learning,” educators are not only experimenting with integrating more physical activity into classroom lessons, but they are generating positive results.

According to Jena Mee, a physical education and school health education consultant for the Department of Education, “Research is showing us very persuasively that if students exercise for sustained periods of time before they do challenging work, they perform cognitive tasks better, they remember things better, they can apply their skills better.”^[ii]

In theory, the idea is to break up lessons with short breaks of physical activity that get students up out of their seats and moving around the room. According to eSchool News, “The approach also has been shown to improve attendance and student behavior and reduce discipline referrals.”

As educators under pressure to maximize student academic performance, we often focus on the material and forget that our real goal is to help the whole child. This research is just one more reminder that we need to attend to the body as well as the mind. If we can do both, we will help our students become all that much more successful.

While the research is still developing, you can get the story as reported this past May on eschoolnews.com.

And if you want to explore one idea to bring more physical activity into your classroom, how about using exercise balls instead of chairs?

[i] Sibley B.A. and Etnier J.L. (2003). The relationship between physical activity and cognition in children: a meta- analysis. Pediatric Exercise Science, 15:243-256.

[ii] ‘Physically active learning’ improves test scores, sharpens concentration. eSchool News. May 16, 2011.

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Attend one of our popular webinars with thought leaders in learning. Live and pre-recorded webinars are available. Register today!

Categories: Education Trends, Reading & Learning

Tags: attention, behavior, cognitive skills, effort, elementary school learning, emotions in learning, exercise, health and well being, how children learn, learning environment, learning through play, memory, motivating students, physical education, play, self-esteem, student growth, teacher impact

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

• July 5, 2011 by Carrie Gajowski

As the webinar coordinator here at Scientific Learning, I hosted yet another fascinating webinar about brain health with Dr. Paul Nussbaum in early May called “Brain Health Across the Lifespan”.  Dr. Nussbaum combined humor with interesting facts about the brain and the webinar ended up being one of our best sessions to date.  He provided a simple yet comprehensive look at the brain and how it functions. 

One interesting story Dr. Nussbaum shared was about the development and eventual delaying of the onset of Alzheimer’s disease based on lifestyle choices.  He cited research that has been done at autopsy that shows that there can be evidence of Alzheimer’s disease in the brain that has never manifested in memory problems during a person’s life.   

Dr. Nussbaum concluded that if you look at the individual’s life, you might find that they had a higher education level or more demanding occupation or participated in complex and varied activities throughout life, building up a stronger and more “fit” brain and delaying the onset of the disease.

He then covered 5 important aspects to brain health and suggested some activities that can keep your brain fit and healthy throughout your lifetime:

1. Nutrition:  Eat more “good” fats including Omega-3 fatty acids, more fruits and vegetables, and fewer “bad” fats and processed foods. 
2. Socialization:  Stay involved with life and develop a personal mission and hobbies along with building networks of family and friendships.
3. Physical Activity: Be mobile and active.  Walk, play, run, garden, exercise, bike, hike.  These activities can help reduce the risk of dementia later on in life.
4. Mental Stimulation:  Learn a second language, learn sign language, travel, play board games, and either play or listen to music.
5. Spirituality:  Slow down, meditate, and learn relaxation procedures.  Identify what your stressors are and how they affect you and then identify ways to handle them.

To find out more about Brain Health, watch our previously recorded webinar or visit Dr. Nussbaum’s website.

Related Reading:

Lifelong Leaning and the Plastic Brain

Educating Kids about Nutrition and the Brain

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Individualizing Instruction Through Understanding Different Types of Learners

• June 14, 2011 by Terri Zezula

For an educator, getting to know each learner is like experiencing a new book. Every child—every mind that comes into the classroom—represents a new discovery with every turn of the page, their own way of seeing and experiencing the world, and they each bring a unique library of experiences, hopes, fears and dreams.

Now, while that makes for a poetic discussion about the wonderful variety among students, it also makes for a practical challenge in helping every one of these individuals achieve their greatest potential. How can an educator present information such that all of these learners—with all their different world views and brain wirings—will get the most out of the school experience?

Researchers have generated multiple models of the mind, each providing its own way of understanding how we can conceptualize and leverage learning differences in the classroom. Such categories are simply ways for us to classify students and ensure that we are reaching every one as effectively as possible.

All these models strive to answer one single question: How does each individual learner experience and process the world around them? Academics have spent great energies on unlocking these secrets and developing models of how we learn. A quick trip through just a few of these theories (and there are many other theories out there) gives us an idea of the breadth of ideas posed by experts of note since the 1980s:

• David Kolb described four types of learners: convergers (who develop abstract concepts and then actively experiment), divergers (who experience the world and then reflect on their observations), assimilators (who develop abstract concepts and then observe and reflect), and accommodators (who experience the world and then actively experiment).
• Honey and Mumford labeled learners as activists, reflectors, theorists and pragmatists.
• Anthony Gregorc described how people perceive the world in two ways (concrete and abstract) and order the world in two ways (random and sequential), and developed a model with four learner types based on the possible combinations of these qualities.
• Fleming’s model described learners as visual, auditory, read-write or kinesthetic, classifying learners by the kind of information that they most effectively assimilate.
• Howard Gardner described eight different “intelligences,” including linguistic, logical/mathematical, spatial, bodily/kinesthetic, musical, interpersonal, intrapersonal and naturalist.

 

In looking at these frameworks as a group, they all converge in certain ways and diverge in others. But one element remains consistent throughout, and that is the motivation for having them in the first place. There is a clear practical need for such frameworks in the classroom. Education is not a one-on-one teacher/learner proposition. As much as we would like, we as educators simply cannot provide fully individualized instruction for every student in a classroom of twenty or thirty.

The art and science of classifying how the human brain processes and learns is and will constantly change as we discover more and more about how the brain works. Whichever model or models are applied in the classroom (and again, the best educators will have a deep enough command of each of these models to leverage the best of each), it is up to educators to ensure that each learner is developing and cultivating the same set of core, fundamental cognitive skills: memory (the ability to store information), attention (the ability to focus on tasks and filter out distractions), processing (how fast a student can perceive and manipulate information), and sequencing (how accurately a student can order information).  These four key cognitive skill sets, when developed together, have been demonstrated to improve learning and reading. Thus, any teaching we do based on learner classifications must support the development of these skills.

That said, if these classifications add power and efficiency to the way we impart these skills to our students and classes, then we should make use of them as much as possible. In the end, any tricks we can use, any knowledge we can leverage, any technique we can employ—if the research demonstrates it to be effective—represents a valid bit of knowledge that we can use to help our students succeed.

Learn more about the four essential cognitive skills of memory, attention, processing, and sequencing. For further reading:

Kolb, D. A. 1984. Experiential learning: Experience as the source of learning and development. New Jersey: Prentice-Hall.

Honey, P & Mumford, A, (1982). The Manual of Learning Styles. Maidenhead, UK: Peter Honey Publications.

Mills, D. W. (2002). Applying what we know: Student learning styles. Retrieved May 22, 2011.:

Gardner, Howard (1983; 1993) Frames of Mind: The theory of multiple intelligences, New York: Basic Books. Second edition published in Britain by Fontana Press.

Related Reading:

Inspiring Students to Dream, Learn and Grow

AMPing Up Our Teaching to Increase Intrinsic Student Motivation

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Categories: Brain Research, Reading & Learning

Tags: attention, cognitive skills, how children learn, Innate abilities, learning environment, memory, motivating students, processing rate, sequencing, student growth, teacher effectiveness