The third time’s a charm
right? Hopefully this third blog post about motor control and feedback will be
my best yet. As I alluded to in my previous blog on the stages of learning,
this blog will be about feedback. I am going to talk about the different types of feedback, as well as
how to optimize feedback for better
learning.
Lets start by looking at the different types of feedback. There are
two main categories of feedback:
1. Task
Intrinsic Feedback – performance
related feedback that is available to the learner directly through their
sensory system.
An example of this type of feedback would
someone who is catching a ball knowing where the ball is because they can see
it with their own visual system.
2. Augmented
Feedback – performance related feedback
that is provided by an external source; it adds to or enhances the task
intrinsic feedback. This category is further subdivided:
a. Knowledge of
Results (KR) – feedback that is
related to the outcome of a specific event
An
example of this type of feedback would be a coach telling a long distance
runner who is in 1st place, that the 2nd place runner is
catching up to them. This information is not available to the runner because
they cannot see behind them and this information is related to the outcome to the
race.
b. Knowledge of
Performance (KP) – feedback that is
related to the movement characteristics of a skill being performed.
An
example of this type of feedback would be a trainer telling his client to
“shoot their hips back” when performing a hip hinge. This information is not
available to the client through task-intrinsic feedback and is related to a
movement characteristic of the skill.
Now that we know the
different types of feedback, let’s look at how
feedback can be optimized to facilitate better learning.
This is America. More is better! Give 110 percent! Go
big or go home!
So when it comes to feedback, why would it be any
different? Well not always. In the following section I will give some tips on
when and how to provide the most effective augmented feedback to facilitate
motor learning.
1.
Don’t give
feedback on 100% of the trials.
Giving
feedback after every single trial can cause a learner to become dependent on
the feedback for successful performance. Additionally, by providing feedback
after every trial, you take away from the learner’s ability to use
task-intrinsic feedback, explore the movement and use discovery learning, which
is very important. Instead, use some of the following strategies to reduce the
amount of feedback that you give to a learner:
a. Performance
Bandwidth feedback – come up with an
acceptable range of error based on the learner and the task and then only provide
feedback if the learner makes a mistake that is outside of your designated
performance bandwidth.
b. Summary/Averaged
feedback – instead of providing
feedback after every trial, let the learner perform a number of trials (e.g.
10) without any feedback and then after all of the trials are completed,
provide a summary of the performance.
c. Tapering
feedback – give frequent feedback in
the beginning of the learning process but gradually give less and less feedback
as learning continues until the learner is receiving very little or no
feedback.
d. Self-Selected
feedback – for advanced learners, let
the learner decide when they want to receive feedback. When the learner is able
to ask for feedback when they want it, they are more actively engaged in
cognitive problem solving and are therefore better able to learn the desired
coordination pattern of the movement.
2.
Don’t give
erroneous feedback.
In other words, don’t give feedback that the learner
can already get from his/her senses. Giving redundant feedback can make the
learner second-guess his/her own feedback system. Redundant feedback also
causes learners to rely on augmented feedback instead of trusting their own
task-intrinsic feedback.
3.
Give feedback
about errors to improve learning.
For beginners, feedback about errors and
also how to correct those errors can be beneficial in the learning process.
When giving feedback to a client who is capable of correcting their own errors,
giving feedback about errors (and not corrections) is usually sufficient.
4.
Give feedback
about correct performances to improve motivation.
While
it is obvious that positive feedback would improve motivation, it is also worth
noting that negative feedback can also motivate a learner (depending on the
learner). For instance, positive feedback would be better to motivate a young
child who is new to exercise, however, negative feedback (e.g. “that was
terrible, is that the best you’ve got?”) can be appropriate to motivate high
level athletes and extremely hardworking clients.
* Be
careful to critically assess each client before providing this type of
feedback. *
5.
Give short,
concise feedback about only the most important aspects of the movement.
This one is fairly self explanatory.
Feedback, especially concurrent feedback, needs to be short and to the point.
Feedback that is too long, complex or drawn out can be very difficult for a
learner to process during the performance of a skill. Therefore, feedback
should be short and focused on only the most important aspects of the skill.
6.
Use a variety
of feedback sources
Feedback can be given in numerous ways
(e.g. visual, verbal, video recordings, biofeedback, etc.). Every learner is
different and some people respond better to certain types of feedback than
others. Which type of feedback is best depends on the learner, the task, and
the environment.
7.
Don’t use
concurrent feedback for beginners.
Concurrent
feedback (given during the performance) can take a beginner’s attention away
from the critical task-intrinsic feedback of a skill. For beginners, it is
usually better to give terminal feedback (after their performance is over). Beginners
have enough to think about and don’t have the attention capacity available to
take in excessive feedback during their performance.
As you can see, there are a
lot of ways to provide feedback, some which work better than others. I want to
provide a disclaimer: the above information on ways to optimize feedback is
generally speaking. There will always be
exceptions to every rule, so be sure to take into account variables such as
the task, the learner, and the environment when deciding how to provide the
most effective feedback.
I hope that you took away
something new from this blog that you can use in the future to optimize motor
learning whether you are the teacher or the learner. I know this was on the
longer side and I thank you for sticking with me to the end.
Until next time,
- Joe Rinaldi
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