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Keep your "nose to the grindstone" is the advice we often tell young people is an essential ingredient of learning difficult tasks...

Study Smart Beats Study Hard

Keep your "nose to the grindstone" is the advice we often tell young people is an essential ingredient of learning difficult tasks. A joke captures the matter with the old bromide for success, "Keep your eye on the ball, your ear to the ground, your nose to the grindstone, your shoulder to the wheel: Now try to work in that position."

Over the years of teaching, I have seen many highly conscientious students work like demons in their study yet don't seem to learn as much as they should for all the effort they put in. Typically, it is because they don't study smart.
In an earlier post, I described a learning strategy wherein a student should spend short (say 15-20 minutes) of intense study followed immediately by a comparable rest period of "brain-dead" activity where they don't engage with intense stimuli or a new learning task. The idea is that during brain down-time the memory of just-learned material is more likely to be consolidated into long-term memory because there are no mental distractions to erase the temporary working memory while it is in the process of consolidation.
Now, new research suggests that too much nose-to-the-grindstone can impair learning. Margaret Schlichting, a graduate student researcher, and Alison Preston, an associate professor of psychology and neuroscience at the University of Texas tested the effect of mental rest with a learning task of remembering two sets of a series of associated photo pairs.  Between the two task sets, the participants rested and were allowed to think about whatever they wanted. Not surprisingly, those who used the rest time to reflect on what they had just learned were able to remember more upon re-test. Obviously, in this case, the brain is not really resting, as it is processing (that is, rehearsing) the new learning. But the brain is resting in the sense that new mental challenges are not encountered.
The university press release quotes the authors as saying, "We've shown for the first time that how the brain processes information during rest can improve future learning. We think replaying memories during rest makes those earlier memories stronger, not just impacting the original content, but impacting the memories to come." Despite the fact that this concept has been anointed as a new discovery in a prestigious science journal, the principle has been well-known for decades. I have explained this phenomenon in my memory books as the decades-old term of "interference theory of memory,"
What has not been well understood among teachers is the need to alter teaching practices to accommodate this principle. A typical class period involves teachers presenting a back-to-back succession of highly diverse learning objects and concepts. Each new topic interferes with memory formation of the prior topics. An additional interference occurs when a class period is disrupted by blaring announcements from the principal's office, designed to be loud to command attention (which has the effect of diverting attention away from the learning material). The typical classroom has a plethora of other distractions, such as windows for looking outside and multiple objects like animals, pictures, posters, banners, and ceiling mobiles designed to decorate and enliven the room. The room itself is a major distraction.
Then, to compound the problem, the class bell rings, and students rush out into the hall for their next class, socializing furiously in the limited time they have to get to the next class (on a different subject, by a different teacher, in a differently decorated classroom). You can be sure, little reflection occurs on the academic material they had just encountered.
The format of a typical school day is so well-entrenched that I doubt it can be changed. But there is no excuse for blaring loudspeaker announcements during the middle of a class period. Classrooms do not have to be decorated. A given class period does not have to be an information dump on overwhelmed students. Short periods of instruction need to be followed by short, low-key, periods of questioning, discussion, reflection, and application of what has just been taught. Content that doesn't get "covered" in class can be assigned as homework—or even exempted from being a learning requirement. It is better to learn a few things well than many things poorly. Indeed, this is the refreshing philosophy behind the new national science standards known as "Next Generation Science Standards."
Give our kids a rest: the right kind of mental rest.

Sources: learning.

Schlicthing, M. L., and Preston, A. R. (2014). Memory reactivation during rest supports upcoming learning of related content. Proc. Nat. Acad. Science. Published ahead of print, Oct. 20.

Dr. Klemm's latest book, available at most retail outlets, is "Mental Biology. The New Science of How the Brain and Mind Relate" (Prometheus). See reviews at


When directing the writing by hand, the brain has to visually track rapidly changing positions of the pencil and control hand and finger mov...

How Learning Cursive Might Improve Reading Efficiency and Hand-eye Coordination

When directing the writing by hand, the brain has to visually track rapidly changing positions of the pencil and control hand and finger movements. To learn such skills, the brain must improve its control over eye-movement saccades and the processing of visual feedback to provide corrective feedback. Both tracking and movement control require much more engagement of neural resources in producing cursive or related handwriting methods than in hand printing, because the movements are more complex and nuanced. Thus, learning cursive is a much greater neural activator, which in turn must engage much more neural circuitry than the less demanding printing.

The key to learning successful handwriting, whether cursive, italics, or calligraphy, is well-controlled visual tracking and high-speed neural responses to the corrective feedback. Scientists are now starting to study the mechanisms, but not yet in the context of education. Two recent reports, seemingly unrelated to each other or to cursive, examined visual tracking and found results that could have profound educational implications for both reading and hand-eye coordination training, as in learning to touch type.

Visual targets are fixed by saccades. One theory is that the eyes scan the target with a linked series of saccades, in this case the changes in cursive letter structure as the letters are being rapidly formed. We already know that the brain predicts eye movements based on what they see at each saccade fixation. This is how our visual world is made stable, even though the eyes are flicking around; otherwise, the image would jitter back and forth constantly. This suggests that visual image representation is integrated rapidly over many successive saccades. The degree of tracking speed, accuracy, and prediction error must surely influence how well the letters are transcribed during handwriting. The corollary is that the better one learns to write by hand, the better the brain is learning how to track visually.

Scientists used to think that these predictions were the source of error in estimating the position of seen objects. In handwriting, for example, the brain would assess the shape of part of a letter as you draw it and predict how and where the next portion of the letter should be added. Learning how to optimize the drawing then would be a matter of learning how to reduce prediction errors.
However, a new study tested the hypothesis that if localization errors really are caused by faulty predictions, you would also expect those errors to occur if an eye movement, which has already been predicted in your brain, fails to take place at the very last moment in response to a signal to abort the eye movement. The investigators (Atsma et al. 2014) asked test subjects to look at a computer screen and tracked eye movement fixation on a very small ball that appeared at various random positions. During this task, the brain must correctly predict where the eyes have to move to keep the eye on the ball.

The experiment ended with one last ball on the screen, followed by a short flash of light near that ball. The person had to look at the last stationary ball while using the computer mouse to indicate the position of the flash of light. However, in some cases, a signal was sent around the time the last ball appeared, indicating that the subject was NOT allowed to look at the ball. In other words, the eye movement was cancelled at the last moment. The person being tested still had to indicate where the flash was visible.

Subjects did not make any mistakes in fixation on the light location during the abortion test, even though the brain had already predicted that it needed to fixate on the ball. Most mislocations occurred when the flash appeared at the moment the eye movement began. Thus, the errors seemed to be associated with neural commands for eye fixation, not with saccade predictions. The application for handwriting learning is that the neural circuits that control target fixation may be a major factor in learning how to write cursive well. Surely, these circuits would be responsive to training, though that was not done in this experiment. It would seem possible that these circuits might be trained via learning cursive to provide faster and more accurate visual tracking, which should have other benefits—as in reading.

A related study of visual tracking in monkeys reveals parallel processing during visual search (Shen and Paré. 2014). Recordings from neurons in the visual pathway during visual tracking of targets in a distracting field showed that in the untrained state, these neurons had indiscriminate responses to stimuli. However, with training the neuronal function evolved to predict where the moving target should be in advance of the actual saccade. Results also showed that more than half the neurons learned to predict where the next two eye movements (saccades) needed to be, which obviously suggests that accurate tracking can be accelerated without loss of information.

In short, learning cursive should train the brain to function more effectively in visual scanning. Theoretically, reading efficiency could benefit. I predict that new research would show that learning cursive will improve reading speed and will train the brain to have better hand-eye coordination. In other words, schools that drop cursive from the curriculum may lose an important learning-skills development tool. The more that students acquire learning skills, the less will be the need for "teaching to the test."

"Memory Medic's" latest books are 
Mental Biology (Prometheus) and Memory Power 101 (Skyhorse).

Atsma, J. et al. (2014). No peri-saccadic mislocalization with abruptly cancelled saccades.
Journal of Neuroscience, 15 April 2014. ttp://

Shen, Kelly and ParĂ©, Martin. 2014.  Predictive saccade target selection in superior colliculus during visual search. The Journal of Neuroscience, 16 April 2014, 34(16): 5640-5648; doi: 10.1523/JNEUROSCI.3880-13.2014