Theory Review: Brain and Mind
Chad Miller
EDAC 635, Spring 2022
Professor: Dr. Bo Chang
February 18, 2022
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Student Name
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Commented on
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Chad Miller
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Lyston Loucks
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Chad Miller
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Evaristus Ngetsop
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Linking
the brain and mind together with educational methods has seemed like the holy
grail for quite some time, especially since the Decade of the Brain in the 1990’s
and the rise of neuroscience. If we only understood how the brain functioned at
a biological level of detail, and how that mapped to cognitive function in the
mind, then we would be able to radically customize and contour the educational
process for each brain and mind it was trying to reach and develop. This review
will look at scientific findings on the brain and mind and attempt to relate
them to educational methods and theories optimized to use the information.
The
brain’s biology is relatively well understood at the macro level. Built by
neurons, microscopic highly specialized cells that process and transmit
information to other neurons in a complex network of connections made through
dendrites and tiny gaps, the nervous system carries information from the brain through
the spinal cord and the rest of the nervous system to control muscle
contraction and many other systems. They also carry sense information back to
the brain to be processed, where most neurons reside. These neurons develop
better connections as they fire together, increasing their ability to work
together more often, and that has been a proposed mechanism associated with
learning for over 60 years. (Hebb, 1961)
But
the mind’s mechanisms are more shrouded. As we study the mind’s functioning and
process, new research is leading us to the concept of the mind acting as a
prediction engine, adapting to errors in predicted sense data based on internal
expectation and certainty models based on our own inferences. (Kuperberg, 2021)
Even processes that happen without conscious awareness in the mind can increase
learning and unexpressed knowledge. (Reber, 1989)
Neuroscience
is the study of the workings and structure of the brain and mind, through
theories on mechanisms that may exist and the measurements that can be made to validate
said theories. It includes theories of the mind which can only be measured
through the individual’s interpretation of their own mind and the observation
of various behaviors tied to the mind. This disconnect makes the mechanisms of
the theories in neuroscience difficult to determine and verify.
There
are three parts of the brain that seem to function together but differently in
their mechanism. The reticular activating system, sometimes called the reptilian
brain, exists in structures at the bottom of the brain called the brain stem.
It is most concerned with messaging from the rest of the body in and out of the
brain and seems to activate in situations of survival, threat, stress, and basic
needs.
The
limbic system, referred to as the mammalian brain, seems to interact with
experiences to trigger feelings and relate them to values. It can determine
what type of response the rest of the brain (positive or negative) will have in
relation to the new experience and also can influence how the experience is
stored in short-term or long-term memory. It registers pleasure and pain based
on the effects to our personal self-preservation.
Finally,
the neo-cortex is the combination of both cerebral hemispheres and the corpus callosum
which connects the two. It is the seat of intelligence and produces all speech
and learning, creates the context for all senses, processes things in parallel,
and is a massive prediction engine to try and adapt to the current and future
environment to preserve the individual. (Mackeracher, 2004)
There
are still more implications on brain functioning and how it responds to brain
health, dealing with the environment the person is in from temperature, to
stress, to power imbalances of the people in the learning center. Emotional
health can play a part in how the brain is effective in performing as well, and
the current state of the perceived student’s threat response will definitely
make an impact on the retention of learning in that situation.
The
concept of a brain “hijack” is when there is perceived threat to the
individual. In this case, the reticular activating system or the limbic system
will in a sense override the higher systems to take action to protect the self.
Only when the self’s threat has ended can the other parts of the brain retake
control of the mind and body. This situation is important from a learning
perspective because the neo-cortex has the most involvement with learning new concepts.
These
threats can be categorized into issues around five topics. Status is focused on
an individual’s relative importance to others. Certainty is involved with the
brain as a prediction engine, in that it will always work toward a certain
future instead of one it cannot predict. Autonomy is the person’s ability to
make choices that determine their outcome in events. Relatedness addresses
their sense of connection with others. Fairness has to do with justice and non-discrimination
across a group. Making sure these are not activated puts the brain in the best
state for learning. (Bowman, 2020)
There
are more ways to look at how the mind functions and what mechanisms go on
inside the brain. Perception strategies like pattern recognition and focus and
attention go to how the individual perceives things in the foreground
(important) and other things in the background (noise) in how they filter
experiences. Then memory strategies come to bear in how the relevant
information is laid down in memory: verbally or visually aligned, narrow or
broad attachments to categories, and even how often the memory is recalled or
reconstructed.
There
are also many theories about how the mind can be rated on different kinds of
intelligences, maturity models on different fields. There are also issues
around adults continuing to develop their cognitive capacities and new information
in their minds as they ingest more and more experiences and can relate them in schemas.
(Mackeracher, 2004)
Educational
neuroscience is the application of mechanisms discovered in neuroscientific
studies to the educative process for better learning, sometimes regarding
behaviors, decision-making, the value of rewards and all kinds of reasoning.
This is still a new field, even though there are new groups like IMBES (International
Mind, Brain, and Education Society) and older groups like EARLI (European
Association for Research on Learning and Instruction) who is adding educational
neuroscience as a special interest group for further study.
Because
this is a newer field, there can be issues with going all out in overhauling
educational curriculums and methods. As an example, I think on the “new math”
educational overhaul in the 1960’s and 1970’s. (Miller, 1990) It took
educational systems by storm and there were stories of huge potential benefits.
It was pushed through 85% of all schools in a decade, and it ended up being a
complete failure. When we as educators see large potential benefits, we want to
go fast. I hope we listen to history at this time regarding the speed which we
attempt to incorporate the results from educational neuroscience into our
practices.
Applications
Repetition
in learning curriculums were built in long before Hebb proposed the mechanism
for neuron linking. As the different psychological and neuroscience fields develop,
there exists the opportunity to continually customize learning methods to the
theoretical mechanisms in the brain and mind. Even the concept of combining
methods (such as repetition and teaching mechanism) has been tried in education
with success without a firm understanding of why the multiple methods would
produce a better result.
With
the brain and all its mechanisms seemingly focused on self-preservation above
everything else, it is easy to infer that the environment is of critical
importance as we situate the students in the learning center. The goal of
eliminating any part of the environment (physical, emotional, social, etc.)
that would potentially produce a threat response may be the most important
goal, since if the threat response is activated in any of the students,
learning in that session is reduced or eliminated for them. Simply the association
of concepts and learning with negative emotions can be demotivating for the
student.
Understanding
how expectations play a part in cognition can also influence learning methods.
The fact that unexpected rewards have a greater effect on dopamine levels in
the brain can enhance the brain’s ability to code learning along with the
positive experience of the dopamine hit and allow a greater chance for
retrieval based on the associated learning experience. (Steinberg, Keiflin, Boivin,
Witten, Deisseroth, & Janak, 2013)
Regardless
of if the theories on multiple intelligences converge into a standard set, using
the concepts of different ways of learning can be beneficial, even in
situations like physical education and cooperative learning versus repetition, form,
and practice. (Xin & Liu, 2018)
With
all of the new mechanisms of cognition and recall proposed by recently researched
neuroscientists, one could assume that the educator would have to also develop
a firm understanding of neuroscience to be the most effective instructor
possible. This is not necessarily the case, rather that educators continue to
focus on behavior and the whole output from each student in determining an
understanding of their abilities to receive the instruction and to show signs
of the learning results from perceiving their emotions and inferring
motivational levels. (Thomas, Ansari, & Knowland, 2019)
Even
with all of this information, true mechanisms and theories are hard to find.
Mackeracher goes into some older studies from 1984 to 1995 on hemisphere specialization
and puts emphasis on how it could influence teaching content methods, but newer
articles (Goswami, 2006) question the early results as misinformation and others
(Kim & Sankey, 2018) call hemisphere specialization a neuromyth – early theories
from neuroscience that don’t hold up in later studies – and go to show strong
belief of these as true amongst educators.
Another
thought in the warning about applying new theories to overhaul educational
methods is to use the field of cognitive psychology as a bridging mechanism between
new results in neuroscience. Waiting on how these theories affect theories in psychology,
then using the psychological theories to influence educational methods may keep
educators from jumping into fads that do not pan out in the long run.
Reflections
There
is a lot of neuroscience research going on and each new theory provided is a
potential gold mine in what it can do to improve educational methods and
results. I was overwhelmed with all of the topics that could be researched and
the sheer mass of information to produce even a high-level review of the
literature.
I
love the theoretical ideas of threat response and have previously read “Your Brain
at Work” by David Rock. I used his theories at my work to help me understand
others’ reactions around threat that were previously not obvious to me, and it
helped me modify my behavior when faced with those tense situations. I believe
instructors can do the same thing for their students with positive outcomes.
I’m
really hoping that being a successful educator, consultant, mentor, and coach
does not require mastery of the above topics but that my methods can be
improved with the progress I can make using the above ideas.
Process
I read
the chapter, Brain and Mind in Learning (Mackeracher, 2004), and proceeded to
write an outline of the major topics including brain and nervous system biology
and function, the nature of the parallel processing of the brain, cognition and
varied strategies the mind employs in perception, memory, concept relation, and
styles of thinking. I went on to note the many different and varied categorizations
of intelligences and the theories behind each, and the different developmental
theories associated with cognition over time.
I then
researched through the Ball State Libraries web pages and EBSCO different
articles written in the last ten years and peer reviewed to get a recent
overview of relevant studies in the field. Since I am fairly new to researching,
I looked for overviews and generalities instead of detailed research studies.
I combined ideas from the articles into the outline
and came up with much too large of an outline, so I compacted and compressed it
into the main section of the paper.
Afterwards,
I built the application section by pulling examples and recommendations from
each article and book of possible ways to implement some of the theories for
better learning.
Finally,
I reflected on what I had learned through the process and tidied up the
references and details.
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Theoretical Idea
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Application to learning
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Neuroscience and brain
biology, repetition, prediction engine mechanisms
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What methods can we use? All
of them. Applying different contexts for learning can stimulate different
internal learning mechanisms and better cement the knowledge or seed it in
multiple places for later retrieval. Teaching the process as well as doing repetitive
work can enhance the result.
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Threat levels or “triune” brain
responses to threats, (SCARF) theory
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Eliminate threats at all
costs
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Perception, memory, and cognitive
strategies
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Expectation management
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Intelligence theories
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Spread methods around to
maximize the “hook”, use multiple methods
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Educational Neuroscience and
its warnings
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Taking into account the newness
of the field with experimentation, not overhaul
Bridging through psychology
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References
Kuperberg,
G. R. (2021). Tea With Milk? A Hierarchical Generative Framework of Sequential
Event Comprehension. Topics in Cognitive Science, 13(1), 256–298. https://doi-org.proxy.bsu.edu/10.1111/tops.12518
Mackeracher,
D. (2004). Making sense of adult learning (2nd ed.) University of Toronto
Bowman,
R. F. (2020). Teaching and Learning with the Social Brain in Mind. Clearing
House, 93(2), 100–106.
https://doi-org.proxy.bsu.edu/10.1080/00098655.2020.1716670
Thomas,
M. S. C., Ansari, D., & Knowland, V. C. P. (2019). Annual research review:
Educational neuroscience: Progress and prospects. Journal of Child Psychology
and Psychiatry, 60(4), 477–492. https://doi-org.proxy.bsu.edu/10.1111/jcpp.12973
Miller,
J. W. (1990). Whatever Happened to New Math? American Heritage, 41(8), 76.
Goswami,
U. (2006). Neuroscience and education: from research to practice? Nature
Reviews. Neuroscience, 7(5), 406–411. https://doi-org.proxy.bsu.edu/10.1038/nrn1907
Kim,
M., & Sankey, D. (2018). Philosophy, neuroscience and pre-service teachers’
beliefs in neuromyths: A call for remedial action. Educational Philosophy &
Theory, 50(13), 1214–1227. https://doi-org.proxy.bsu.edu/10.1080/00131857.2017.1395736
Hebb,
D. (1961). The organization of behavior : a neuropsychological theory.
Science Editions, Inc.
Reber,
A. S. (1989). Implicit learning and tacit knowledge. Journal of Experimental
Psychology: General, 118(3), 219–235. https://doi-org.proxy.bsu.edu/10.1037/0096-3445.118.3.219
Steinberg,
E. E., Keiflin, R., Boivin, J. R., Witten, I. B., Deisseroth, K., & Janak,
P. H. (2013). A causal link between prediction errors, dopamine neurons and
learning. Nature Neuroscience, 16(7), 966–973. https://doi-org.proxy.bsu.edu/10.1038/nn.3413
Xin W.,
& Yuanguo L. (2018). Cooperative Learning Method in Physical Education
Teaching Based on Multiple Intelligence Theory. Educational Sciences: Theory
& Practice, 18(5), 2176–2186.
https://doi-org.proxy.bsu.edu/10.12738/estp.2018.5.117