Implicit vs. Explicit Instruction: Which is Better for Word Learning?

• May 15, 2012 by Bill Jenkins, Ph.D.

As educators, we are constantly faced with the question of how we can best present material so that it is optimally “learnable” for the different students we are trying to reach.

There is considerable evidence both for and against self-directed and exploratory learning, so there is a great opportunity for neuroscience to examine the ground-level differences between these and more traditional methods of instruction and how the brain reacts to each. One of those differences is the subject of current investigation: the divide between explicit and implicit instruction.

By explicit instruction, we mean teaching where the instructor clearly outlines what the learning goals are for the student, and offers clear, unambiguous explanations of the skills and information structures they are presenting.

By implicit instruction, we refer to teaching where the instructor does not outline such goals or make such explanations overtly, but rather simply presents the information or problem to the student and allows the student to make their own conclusions and create their own conceptual structures and assimilate the information in the way that makes the most sense to them.

Which is more effective?

One study out of Vanderbilt University recently looked at this question as it applies to word learning. In this study, principal investigator Laurie Cutting and her team examined 34 adult readers, from 21 to 36 years of age.

The subjects were taught pseudowords—words that are similar to real words but that have no meaning, such as “skoat” or “chote.” Then, through both explicit and implicit instruction, subjects were taught meanings for these words. (In the study, both of these pseudowords were associated with the picture of a dog.)

The goal was to gain a clearer understanding of how people with different skills and capabilities processed short-term instruction, how effectively they learned, and how those differences looked physiologically in the brain.

In the end, the subjects were all able to learn the pseudowords. But, through functional magnetic resonance imaging (fMRI), the researchers learned that something deeper was actually taking place: subjects previously identified as excellent readers showed little difference between how they processed explicit vs. implicit instruction. Average readers, on the other hand, showed through their fMRIs that they had to work harder to learn through implicit instruction; for them, explicit instruction was the more effective method.

Granted, the study did focus on a group of adults, not school-age learners. Still the Vanderbilt team’s preliminary results support the idea that, even in group situations where all students have roughly the same degree of previous experience, prior reading ability might be an important element to consider when choosing an instructional approach.

 

 

For further reading:

Amy M. Clements-Stephens, April D. Materek, Sarah H. Eason, Hollis S. Scarborough, Kenneth R. Pugh, Sheryl Rimrodth, James J. Pekar, Laurie E. Cutting. Neural circuitry associated with two different approaches to novel word learning. Developmental Cognitive Science. Volume 2, Supplement 1. 15 February 2012. pp. S99-S113.

Related Reading:

The Curious Mind: Interest, Drive, and the Road to Academic Success

Language and the Reading Puzzle: 5 Steps Towards Fluent Reading

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Categories: Brain Research, Reading & Learning

Tags: academic success, improving reading skills, literacy, struggling readers, teacher effectiveness, teacher impact, vocabulary

The Motor-Cognitive Connection: Early Fine Motor Skills as an Indicator of Future Success

• April 19, 2012 by Bill Jenkins, Ph.D.

We generally don’t consider the development of manual dexterity like hand-eye coordination in babies to be an essential element of cognitive development. In fact, the scientific terminology itself – “motor skills” for movement and “cognitive skills” for mental processing – draws a clear and definite separation between these two types of functions.

As it turns out, such thinking may be holding us back from innovations in education that might truly be able to make a difference for a great many young learners.

Recent research has demonstrated a clear connection between the development of fine motor skills in early life and later success in math, science and reading. Such skills – those as simple as how an infant can use her eyes to track her mother’s face and then reach her hand out and touch her mother’s nose – may just help us understand how ready that child will be for kindergarten, as well as what kind of achiever she’ll be over the next few years.

The Motor-Cognition Connection

To arrive at such a conclusion, we first need to understand the connection between the motor and cognitive centers of the brain. Through neuroimaging and neuroanatomical analysis, Adele Diamond (2000) uncovered “significant evidence” for a number of motor-cognition links in the brain.  Prior to such analysis, these abilities were attributed to separate areas of the brain: motor skills were centered in the cerebellum and basal ganglia, and cognition in the prefrontal cortex. But Diamond’s research showed that both could be activated during certain motor or cognitive tasks. Further research also showed that “individuals with brain damage to either the primary motor or primary cognitive areas often show impairment in both skill areas.” (p. 1013)

In fact, Karen Adolph (2005, 2008; Adolph & Berger, 2006) suggested that a complex relationship exists between cognitive and motor skills development in infants. Since infants are learning to process a complex and changing world at the same time that they are learning gross and fine motor skills, they are in a state of constant adaptation. Their bodies are changing simultaneously as the world around them is presenting new information. Thus, their physical existence in the world – and their movement through it – is one that requires constant cognitive problem solving. In short, infants spend the vast majority of their existence, when they are not sleeping, learning how to learn.

Motor Skills as a Predictor

Talk about factors that predict future achievement in reading, math and science most often includes discussions of early math skills, early reading skills, social skills, attention skills, and attention-related measures like curiosity, interest and a desire to learn. Note that none of the aforementioned abilities has a motor physical component.

Yet, from the motor-cognition connection, researchers like David Grissmer, Sophie Aiyer, William Murrah, Kevin Grimm and Joel Steele (2010) have brought the issue of motor skills development to the fore. They went back and analyzed data from six data sets, and found that, indeed, fine motor skills were a strong predictor of later achievement. In fact, they conclude that taken together, “attention, fine motor skills and general knowledge are much stronger overall predictors of later math, reading and science scores than early math and reading scores alone.” (p. 1008)

Toward Better Interventions

According to this team of researchers (Grissimer, et al, 2010), “There are few interventions directly testing whether strengthening early attention, fine motor skills, or knowledge of the world would improve later math and reading achievement.” That said, some facts are quite clear:

• There is a clear connection in the circuitry of the brain between areas controlling fine motor skills and areas controlling cognition.
• These areas are developing simultaneously, with exceptional speed during early brain development.
• Motor skills are a proven indicator of future math and reading success.

Ultimately, with that understanding in hand, we clearly have a research opportunity to more comprehensively pursue an understanding of these connections.  Findings from such research could put us in a position to create more novel, more effective interventions that strategically integrate motor and cognitive skill building, and continue to hone how we help our youngest learners prepare for future success.

For further reading:

Grissmer, D., Grimm, K., Aiyer S., Murrah, W., Steele, J. Fine Motor Skills and Early Comprehension of the World: Two New School Readiness Indicators. Developmental Psychology. 2010. Vol. 46, No. 5. 1008-1017.

Related Reading:

Sensory-Motor Development and Learning in Children

5 Reasons Every Parent Should Be Familiar with Executive Function

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Categories: Brain Research, Family Focus

Tags: brain development, cognitive skills, early learning, executive function, infant brain, play, processing

Deliberate Practice: How to Develop Expertise

• April 12, 2012 by Bill Jenkins, Ph.D.

Anyone who has ever conscientiously taken on the challenge of learning a skill – from playing a musical instrument to speaking a foreign language to simply improving one’s penmanship – understands the importance of practice.

As a neuroscientist, practice fascinates me because it is all about establishing pathways in the brain. The ability of the brain to form and re-form routes for specific thought patterns, and for those routes to become more deeply ingrained the more we exercise those thought patterns, makes it possible for us to learn and refine a multitude of wonderful skills throughout our lives.

The Best Practices

In her recent article “The Myth of ‘Practice Makes Perfect,’” Annie Murphy Paul reviews a book by Gary Marcus, a cognitive psychologist at New York University who studies how the brain acquires language. Marcus’ book, Guitar Zero: The New Musician and the Science of Learning, discusses how learning a new skill, such as playing the guitar, requires practice—but the right kind of practice.

Certainly practice requires a commitment of time. But more importantly, to be truly effective it requires a commitment of the mind – a deliberate intent – for optimal learning to occur.

According to Marcus, “Studies show that practice aimed at remedying weaknesses is a better predictor of expertise than raw number of hours; playing for fun and repeating what you already know is not necessarily the same as efficiently reaching a new level. Most of the practice that most people do, most of the time, be it in the pursuit of learning the guitar or improving their golf game, yields almost no effect” (2012).

In other words, the best practice demands that the learner be attentive to his or her errors, weaknesses and deficiencies, and consciously work to remedy them.

From a neuroscience perspective, this observation points to a natural conclusion. Research has shown us time and again that the more we utilize certain neural pathways for building skills – such as throwing a ball or multiplying by fives or recalling all fifty state capitals – the more effectively we ingrain those patterns in our brains and the more automatic the correct skills become.

The Hardest Work

Imagine the budding guitarist bent over her instrument. At 11 years old, she focuses on learning three more chords beyond the three she learned last week. She’s having great trouble with that F, but she’s well in control of the other five. Should she spend her hour of practice playing the music she truly enjoys and save that F for another day, preserving her positive attitude? Or should she feel her frustration, work through it and spend her time on ironing out that problematic F, again and again and again?

Which is the better practice?

Researcher Anders Ericsson of Florida State University wrote that “deliberate practice requires effort and is inherently not enjoyable” (1993). Long hours spent repeating the easy or already-mastered work is simply not enough and not as effective. The best practice requires us to dig deep and uncover our weaknesses. With a greater focus on our faults, we become better able to find them and develop solutions to remedy them.

Robert Duke of the University of Texas-Austin demonstrated this effect when he and his team videotaped piano students as they practiced a challenging concerto, and then ranked the quality of their final performance. In the end, it was not the repetitions nor the hours of practice put in. The best performers zeroed in on their errors and strove to fix them before moving on. (2009)

Behaviors for Success

The students in our everyday classrooms have an advantage over the guitar student practicing at home. She has to work independently the majority of the time, interacting with her music instructor only once or twice a week; the lion’s share of reinforcing her learning and practicing behavior is her personal responsibility.

In our day-to-day classrooms, we get – relatively speaking – much more time to help our students devise strategies and establish behaviors for success. Through helping them learn how to face the hard work, to focus on what’s difficult or wrong and make it easier or right, we can help them to establish those all-important neural pathways that will lead to success.

For further reading:

It’s Not How Much; It’s How: Characteristics of Practice Behavior and Retention of Performance Skills by Robert A. Duke, Amy L. Simmons and Carla Davis Cash

Related Reading:

The Brain Gets Better at What it Does: Dr. Martha Burns on Brain Plasticity

Musical Training and Cognitive Abilities

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Categories: Brain Fitness, Brain Research, Reading & Learning

Tags: accelerate learning, attention, brain plasticity, brain training, cognitive skills, how adults learn, how children learn, language learning, memory, musical training

The Curious Mind: Interest, Drive, and the Road to Academic Success

• March 13, 2012 by Bill Jenkins, Ph.D.

Good grades and high achievement test scores are very real portals to success in life. Given the weight society grants such measures in evaluating individuals for everything from college to graduate school to entrance into the professional world, we cannot ignore the essential role of these traditional measures of success.

But that’s tradition; does the science support the idea that intellect and academic mastery ensure later success? What are the true determinants of triumph in school and life? Traditionally, intelligence and effort have been the two traits identified as the golden keys to future achievement. Still, there is a third variable that has long gone under-analyzed; in their 2011 paper, Von Strumm, Hell and Chamorro-Premuzic posit that yet another “pillar” of the mind must be taken into consideration: curiosity.

Back in 1963, Fiske and Butler stated that ability test scores measure what a person can do at a given time, whereas personality scales “provide a measure of what a person is most likely to do” in the future. (Fiske and Butler, pp. 258-259)  This difference is fascinating, and one which we all too often fail to differentiate when working with and evaluating our students.

In their research, Von Strumm, Hell and Chamorror-Premuzic reviewed and analyzed multiple studies that investigated the relationships between academic performance and intelligence, as well as those between academic performance and personality traits such as curiosity. They found, among other results, that the combined effects of curiosity and effort equaled the impact of intellect on academic performance. In other words, their analysis played out scientifically what Dewey suggested back in 1910: “The curious mind [is] constantly alert and exploring [and] seeking material for thought, as a vigorous and healthy body is on the qui vive for nutriment. . . . Such curiosity is the only sure guarantee of acquisition of primary facts…” (Dewey, 1910, p. 31)

For educators, the implications of such conclusions represent a refreshing perspective on both how we perceive our students’ abilities and how we imagine and implement strategies to nurture their success. All too often, we fall into the trap of seeing our students and evaluating their performance in terms of their intellectual abilities.

But what if we could see them just as well for their possibilities? What if we could focus our gaze ahead and perceive their potential in those areas of knowledge that they were most hungry to pursue?

Because of brain plasticity research, we know that through finding strong existing neural pathways and thought patterns, we can connect them to the creation of new thought patterns; we can use existing strengths to cultivate new ones. For example, a child might not have excellent math skills, but a deep curiosity for space and the solar system. If we can use that passion for outer space to introduce mathematical concepts, the child is more likely to successfully learn those essential skills.

With this knowledge on our side, if we can tap into and cultivate our students’ curiosity, we can help them turn their immediate educational obstacles into opportunities, as well as help them to establish habits of mind that will serve them long into their futures after that last exam has come to a close.

For further reading: Von Stumm, Sophie. Hell, Benedikt. Chamorro-Premuzic, Tomas. The Hungry Mind: Intellectual Curiosity Is the Third Pillar of Academic Performance. Perspectives on Psychological Science 6(6) 574–588.

Related Reading:

6 Steps to Help Students Ask Better Questions

Using the Power of Optimal Timing to Improve the Brain’s Ability to Learn

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Categories: Education Trends, Reading & Learning

Tags: academic success, behavior, effort, how children learn, motivating students, teacher impact

The Truth About Video Games and the Brain: What Research Tells Us

• February 9, 2012 by Bill Jenkins, Ph.D.

We’ve all seen the news reports, but how do video games really affect the brain? The short answer is this: researchers are working on it. While a great many studies have been done, science has a long way to go before we fully understand the impact video games can have.

The brain is a malleable, “plastic” structure that can change and evolve with every stimulus we give it. Whether that stimulus comes from listening to Tchaikovsky, studying Spanish, training in karate, or jumping through the mushroom kingdom in Super Mario Bros. Wii, every single input can affect the wiring of the brain if the conditions are right.

In a December 2011 article in Nature Reviews Neuroscience, six experts in neuroscience and cognitive psychology – Daphne Bavelier, C. Shawn Green, Doug Hyun Han, Perry F. Renshaw, Michael M. Merzenich and Douglas A. Gentile – offer their perspectives on frequently asked questions related to the effects of video games on the brain:

Are there beneficial effects of video games? Does evidence point to improvements in cognitive function? Given the wide variety of game types and the tasks they demand of the brain, this is an extremely complex and layered issue. Han and Renshaw cite studies indicating that game play may improve visual-spatial capacity, visual acuity, task switching, decision making and object tracking. In perception, gaming has been shown to enhance low-level vision, visual attention, processing speed and statistical inference. These skills are not necessarily general improvements in cognitive functioning, but specific skills transferrable to similar tasks. (Gentile)

Does playing video games have negative effects on the brain and behavior? On this issue, the jury is essentially unanimous: intensive play of high-action games has been shown to have negative cognitive effects. Merzenich references studies that indicate such games can create “listlessness and discontent in slower-paced and less stimulating academic, work or social environments.” Research has drawn connections between playing more violent games and an increase in more aggressive thoughts. Games with anti-social or violent content “have been shown to reduce empathy, to reduce stress associated with observing or initiating anti-social actions, and to increase confrontational and disruptive behaviors in the real world.” (ibid)

How strong is the evidence that video games are addictive? While strong evidence is mounting, research is proceeding but still incomplete. According to Han and Renshaw, investigations suggest that “brain areas that respond to game stimuli in patients with on-line game addiction are similar to those that respond to drug cue-induced craving in patients with substance dependence.” In addition, they state that gaming dependence has been shown to create “dysfunction in five domains: academic, social, occupational, developmental and behavioral.” While gaming addiction may differ from other types of addiction, it clearly appears to be a very real issue.

What should the role of video games be in education and rehabilitation? Again, if we come back to the underlying fact that any stimulus can change the brain under the right conditions, video games – a source of stimuli – certainly have a role to play in these areas. The question is, what stimuli are beneficial to which individuals, and how can we customize the gaming experience to give the learner or patient the stimuli that they most need at a given moment? Adaptive technologies that track a user’s responses and present follow-up material based on those response patterns, especially when wielded by an experienced educator or clinician, offer immense potential.

The last question these experts address is: Where is neuroscience headed in this field? Clearly, studies have shown that video games affect and change the brain, both for ill as well as for good. Some researchers, such as neuroscientist Paul Howard-Jones of Bristol University, are already experimenting with ways to harness computer gaming to enhance classroom learning. Future studies are likely to uncover both detrimental effects of video games and significant benefits of their employment as learning and rehabilitation tools.

“Because of their great didactic efficiencies,” says Merzenich, “and because of brain plasticity-based exercises can improve the performance characteristics of the brain of almost every child, these new game-like tools shall be at the core of a schooling revolution.”

For Further reading:

Brains on Video Games. Daphne Bavelier, C. Shawn Green, Doug Hyun Han, Perry F. Renshaw, Michael M. Merzenich and Douglas A. Gentile. Nature Reviews | Neuroscience. Vol. 12, December 2011.

Harnessing Gaming for the Classroom. D.D. Guttenplan. New York Times Europe, January 29, 2012.

Related Reading:

Video Games: A New Perspective on Learning Content and Skills

Modeling Healthy Choices: Three Habits for Optimal Brain Health

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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: brain plasticity, brain training, cognitive skills, digital natives, science, technology in education

Helping Low-SES Students Thrive

• January 26, 2012 by Bill Jenkins, Ph.D.

Studies and statistics have clearly demonstrated the link between low achievement and low socioeconomic status or SES. Still, studies have also shown that given the right conditions, every student – including those from less fortunate circumstances – have the opportunity to succeed. Not only that, but the kinds of changes that can increase achievement are available to every household, regardless of SES.

Factors linked to low-SES have been shown to have an effect upon readiness for school and achievement once a child has entered school. Circumstances include a household’s lack of financial wherewithal to devote to learning resources such as books, supplies and computers. Other contributing factors include lack of parental involvement; only 36% of low SES parents read to their kindergartners, compared to 62% in the highest SES students (Coley, 2002). In addition, parents of low SES households tend to be dual-income or single parent families who have limited time and energy at home to devote to meaningful engagement with their children.

That said, many successful students do come from low-SES homes. While some of this success can be attributed to the simple innate resiliency and drive arising from within the student, research has been able to tease out a number of common factors in such homes, where certain practices are clearly contributing to student success. 

Factors for Success

In 2006, Allison Milne and Lee Plourde studied this population, selecting six second-grade students from a Central Washington elementary school who came from low-SES homes but were also high achievers. While the number of students in the study was limited, Milne and Plourde outline a number of common factors in their homes that likely contributed to their success:

• Educational content in the home: In all households, these students as early learners all had access to learning materials, such as books, writing material and structured time. All students attended preschool or Head Start.
• Placing value on education: All parents held having an education as an important value, and made efforts to ensure that their children understood this value. Of the participant families, all parents had completed at least through the 10th grade.
• Positive, supportive relationships: Regardless of family structure (single mother, guardian, two-parent, etc.), successful children’s families demonstrated patterns of support and open communication. Such parents expressed wanting open, respectful relationships with their children, and spent time with them having more adult-like conversations. They also indicated that they spent time together and had fun with one another. Finally, these families all had support systems of friends and family nearby to lean on in times of need.
• Understanding of the parental role: When it came to questions about their job as parents, all expressed “eerily similar” answers, such as providing support and guidance at home, and making sure their children understood the essential nature of a good education. They also made sure that they set examples through their own behaviors that communicated such values to their children.

Even though this study was limited in its sample size, the implications and the opportunities are far reaching. If low-SES children have the support and understanding that we see in these households, financial status does not have to be the ultimate determinant of academic achievement.

For further reading:

Factors of a low-SES household: what aids academic achievement?

Education and Socioeconomic Status, American Psychological Association

Related Reading:

Changing the Culture of Poverty by Doing Whatever it Takes

What Educators Can Do About Poverty in American Schools

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Categories: Education Trends, Family Focus, Reading & Learning

Tags: achievement gap, at-risk, early learning, elementary school learning, emotions in learning, how children learn, learning environment, motivating students, self-esteem, student growth, title i

What Does The Marshmallow Experiment Tell Us About Self-Control?

• January 24, 2012 by Bill Jenkins, Ph.D.

What is the mark of a good student? Is it innate intelligence? Is it attention span? Is it drive? Studies show that a major contributor to success might be as simple as having self-control. Take, for example, the marshmallow experiment.

Place a single marshmallow in front of a four-year old. Tell them they can eat it now or wait 15 minutes and have it along with a second marshmallow.

In the late 1960s and early 1970s, Walter Mischel of Stanford University performed this very experiment with over 500 nursery school children. What percentage do you think was able to control their impulses and hold out for marshmallow number two? In the end, fewer than one in three children were able to wait it out for the two marshmallows. At four years old, they simply had not developed the ability to delay gratification required for the challenge.

Paired with recent follow-up studies with 155 of the same individuals, the marshmallow experiment has come to shed fascinating insights on the inner workings of motivation and gratification, and how the two contribute to future success in school and life.

In the end, these studies have shown that children who were able to resist that first marshmallow were also more likely to be able to “avoid substance abuse, maintain a healthy body weight, and even perform better on the SAT than peers who couldn’t resist temptation.” In another study by Angela Duckworth at the University of Pennsylvania, self-control was a better predictor of academic success than IQ.

Self-control: Innate or teachable?

Given the proven connection between self-control and life success, the question arises: Is it possible to develop tools that help people enhance self-control?

As it turns out, self-control is the result of processes in two parts of the brain. Our rational thoughts, such as “If I wait, I get the second sweet,” take place in the pre-frontal cortex. More urgent decisions take place in the more primitive ventral striatum. Decisions like these that connect to deeper desire and reward depend on the environment around us. In this second case, the thought process might be, “Gee, that marshmallow sure looks soft, sweet and yummy, and I really want it. Right now.”  Research has shown that the rational thoughts can often be derailed by the primitive limbic system; this is no surprise, given the importance of these systems to the survival of our species over the eons.

So, can we strengthen the ability of the rational side to win out over the impulsive side? One solution might just lie in helping young people change how they focus on the environment around them, such as helping them differentiate between “hot” and “cool” cues.  The limbic system deals with “hot” cues, activating emotions like impulse, anger, sadness, happiness and satisfaction. On the other hand, “cool” cues are processed in the frontal lobe and activate cognitive systems that control functions like planning, problem solving, working memory and reasoning. Returning to a variant of our marshmallow experiment, studies have shown that students who were coached to focus on “cool” attributes like color or shape were better able to resist temptation than those who focused on “hot” cues like taste.

Toward impulse-control interventions

Research is now underway to figure out how educators can better harness some of these insights into the power of impulse- and self-control to help students better achieve success. At the KIPP Academy School in New York, the marshmallow experiment has been used as a way to initiate discussions about self-control with 6th graders and help them make better, more rational decisions.

Ultimately, the ability to produce concrete strategies and tools that help students learn to control their impulses will depend upon the results of investigations that are still in the works. But eventually, if we are taking the research to heart, success will likely follow.

For now, if your students seem a bit impulsive from time to time, a chat about marshmallows might be just the thing to get them thinking.

Further Reading:

Study Reveals Biology Behind Self-Control

Related Reading:

Tips for Teaching Positive Behavior

Building Your Child's Self-Confidence

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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, Family Focus, Reading & Learning

Tags: behavior, decision making, early learning, emotions in learning, Innate abilities, toddler

Using the Power of Optimal Timing to Improve the Brain’s Ability to Learn

• December 13, 2011 by Bill Jenkins, Ph.D.

Learning is both a behavioral and biological process that is supported by the neurons in the brain over time.

When we learn, our brain cells physically change in response to stimulation, forming pathways to facilitate the connections we use repeatedly. For example, if you meet a person only once, you might not remember their name or recognize their face if you were to run into them on the street ten years on. On the other hand, if you see that person every day for a year, you will likely be able to recognize their face and remember their name much more readily should you not see that person for a long period of time.

Learning processes like these in the brain take predictable, measured amounts of time. While these rates will vary from person to person and nervous system to nervous system, we can depend upon certain relatively constant timeframes for learning and processing an understanding of some of these timeframes can allow educators to take maximum advantage of them. That’s why the Fast ForWord® products function on each of these scales by design, using the power of optimal timing to improve the brain’s ability to learn.

Learning depends upon a specific feedback loop characterized by timing between stimulus, response and reward ^[i]. Here are some of those timescales, along with how Fast ForWord works within each:

• Milliseconds: Auditory processing happens on the millisecond timescale. Fast ForWord helps improves auditory processing rate to ensure that students are able to “keep up” with auditory input such as spoken directions from their teacher.
• Seconds: Reinforcement learning happens on a scale of seconds and is achieved by interacting with one’s surroundings.  The Fast ForWord program’s reward system is based on this time scale, delivering rewards to students at just the right moment to maximize reinforcement learning, helping students get the most benefit from the program.
• Minutes: Our actions change based on how we perceive our surroundings. This kind of adaptation can take minutes. As students move through Fast ForWord exercises, they can see their performance results changing minute by minute. Being able to see such improvement helps motivate students toward greater learning. In other words, as they perceive the positive results of their actions, students adapt and learn to generate more of those positive results.
• Days or Weeks: Consolidation and maturation of memories can take days or weeks. When a student overcomes an obstacle in Fast ForWord, their confidence is strengthened and they not only learn the material, but they learn about their own capabilities and what success feels like. The memories of such experiences and the associated feelings – gathered and built upon over the days, weeks and months – lay the foundation to spur them on to future success. Such success in the classroom can lead to a greater drive to perform well in other areas, such as doing well on a test, winning on the athletic field, or successfully completing that college application.   We cannot underestimate the power of experiencing success and the sensation that it creates.

In the classroom, having an awareness of how long it takes for a student to assimilate and process certain kinds of information can add an entirely different rhythm to our instruction. In having such an understanding of how the brains of our students work, we can time our teaching to optimize learning and help our students achieve maximum success.

References:

[i] Why Time Matters Temporal Dynamics of Learning Center. University of California San Diego

Related Reading:

The Brain Gets Better at What it Does: Dr. Martha Burns on Brain Plasticity

Video Games: A New Perspective on Learning Content and Skills

 

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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: academic success, accelerate learning, auditory processing, brain plasticity, emotions in learning, how children learn, learning environment, motivating students, processing rate, teacher impact, technology in education

Modeling Healthy Choices: Three Habits for Optimal Brain Health

• November 10, 2011 by Bill Jenkins, Ph.D.

Isaac Asimov said, “The human brain…is the most complicated organization of matter that we know.”^[i] And it’s true.  Our amazing brains are both a product of biological evolution and a reflection of the world around us.

First, the stuff of the brain – grey matter, white matter, fluids, blood vessels – is made up of nutrients from the plants and animals we consume from the world around us.

Second, in terms of brain function, our interaction with our environment has a major impact on both brain structure and brain health. Extensive and ongoing research into “brain plasticity” has proven that everything we experience, everything we see or touch or hear, creates a perception that changes the wiring of the brain itself.

Given that our brains are a product of evolution (which is outside of our control) and environment (which is only partially under our control, and often less than ideal), how can we keep our brains as healthy as possible, from birth all the way through old age?

The pathway to optimal brain health comes from the small choices we make every day. By making healthy choices on a regular basis, and particularly by turning those choices into habits, we can help our brains stay healthy while also helping the young people in our lives learn positive self-care skills that can last a lifetime.

Here are three important steps everyone can take toward optimal brain health:

• Eating more healthy foods and minimizing unhealthy foods. Eating foods that provide nutrients to build healthy brain tissues is essential. Foods high in omega-3 fatty acids, such as salmon, avocados and nuts, along with foods high in potassium like bananas promote brain function. Also, lowering our intake of sodium can reduce blood pressure, a factor that can, if left unchecked, lead to stroke.
• Engaging in regular physical exercise. Like every other organ and tissue in the body, the brain needs healthy blood flow to function at its highest possible levels. Physical exercise helps improve and maintain cardio vascular health, allowing the body to efficiently and effectively deliver oxygen and nutrients to the brain. But it can do more for us. In students, educators have reported physical exercise resulting in less disruptive behavior, higher self esteem, less anxiety and greater attentiveness. Dr. John Ratey of Harvard University describes exercise as “food for the brain.”
• Giving your brain practice in the activities you want it to be good at. The neural pathways that our brains create over time, as we have said, are a direct result of the stimuli that we receive. That’s why through practice and training, a child can work to shape their brain into that of a great musician or mathematician or martial artist. At the same time, we must remember that negative input also affects our wiring. For example, excessive amounts of watching television and playing video games has been shown to have concerning chemical and biological effects, such as the suppression of melatonin release, elevated blood cholesterol and an increased chance of coronary heart disease – and these effects should be taken into consideration as we make decisions about how we spend our time.

The brain might be the most complicated organization of matter we know of, but that doesn’t make it difficult to keep healthy. By learning to choose the right foods, the right activities, and the right input, we can each take control – at any age – of building the brains we want. 

Children can begin learning to make good choices from the earliest ages, but it is up to parents and teachers to model these healthy habits of mind.  

Yes, that means you.

References:

[i] J. Hooper and D. Teresi. The Three-Pound Universe. Macmillan Publishing Company. 1^st edition 1986.

Related Reading:

Lifelong Learning and the Plastic Brain

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

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Categories: Brain Fitness, Brain Research, Family Focus, Reading & Learning

Tags: behavior, brain plasticity, brain training, health and well being, nutrition, self-esteem, teacher impact

Shaming Some Kids Makes Them Aggressive

• November 3, 2011 by Bill Jenkins, Ph.D.

Many people believe that youth who are aggressive and violent towards other children have low self-esteem. Youth programs are often designed to boost self-esteem in kids at risk. Does the research support this belief? A team of researchers designed a study on young teens to examine their responses to feeling shame.

The subjects were asked to compete in an easy, timed task against a competitor.  Some of the youth experienced shame when they were shown a fake list of competitors’ times and saw their own times at the bottom of the list.  The group that did not experience shame was not shown competitors’ times or their own rank.  Then all participants were given an opportunity to act aggressively by blasting their opponent with loud noise through headphones.  All participants also completed self report measures of narcissism (grandiose views of self, inflated sense of entitlement) and self-esteem a few weeks prior to the competition. 

The results of this experiment showed no evidence that the kids with low self-esteem were more aggressive.  Instead, kids with narcissistic traits were most likely to react to shame with aggression.  This is interesting to think about from the perspective of educators who want to support learning through optimizing a collaborative atmosphere as opposed to promoting a highly competitive environment.

References:

The Cracked Mirror: Features of Narcissistic Personality Disorder in Children. 2009.

Related Reading:

Of Rats and Men: How Stress Affects the Brain

Adolescence: What’s the Brain Got to do with it?

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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

Tags: behavior, emotions in learning, health and well being, learning environment, self-esteem, teacher impact