| Introduction
(pdf (6 pages)) |
last edited Nov. 28th, 2011 | ||||
| Chapter
One (pdf (24 pages)) |
last edited Nov. 28th, 2011 | ||||
| Chapter Two (pdf (24 pages)) |
last edited Nov. 28th 2011 | ||||
| Chapter Three (pdf (27 pages)) | last edited Nov. 28th 2011 | ||||
| Chapter Four (pdf (38 pages)) | last edited Nov. 28th 2011 | ||||
| Chapter Five (pdf 27 pages) |
last edited Nov. 28th 2011 | ||||
| Appendix A (pdf 6 pages) | last edited Nov. 28th 2011 |
A Few Words, FirstThe reader is
invited to see into our thesis a
desire that the educational system function at a level where deep
learning
occurs in most instances. Deep
learning is related to the formation of individualized inner
understanding of
self, society, and the natural world.
A justification for what is learned may be found in a
demonstration that
deep learning, of this type, changes the individual in a positive
cultural and
personal way. This change may be
shaped by educational process designed to benefit a new generation of
human
beings. A virtual infrastructure
will lift social values in much the same way as violent on-line games
now
debase the perceptions of our children, but the results will be
positive. A
reinforcement of experience shapes behavior.
The benefits from positive change are felt at two
levels, within our social organizations and within sense of self by the
individual. We have
designed a new system supporting
universal education. There are;
however, many philosophical challenges to understanding what
educational
processes might become in the near future. What
is the difference between mass education; as we have it
today, and this notion of deep learning?
We must also understand the positive and negative in what
we have. Today, we have an educational
system
that is partially socialized. It
is manipulated by businesses and dysfunctional for most individuals. The dysfunction is sometimes overcome
in beautiful and significant ways.
The system
works in same cases, for some
people. We do see successful
outcomes, but most individuals are not helped by our school system. The picture is not transparent.
For some reason, a celebration of
limited and selective success hides a larger failure.
Education is not the only place where we find failure
hidden
by deception. Failure and deception is active in most of the social,
economic
and environmental challenges we face. Understanding
why there is a crisis, and overcoming
this crisis is a critical next step for humanity. The Bridge proposals
are grounded in a specific
thesis; that what we see as systemic dysfunction is not an accident. There are specific causes involved in
producing mechanisms through which any system performs whatever occurs. Part of our thesis is that, over time,
these systems induct both negative and positive properties from the
individual
into the “system”. How to avoid
an induction of negative
characteristics, from the individual to the whole, has become a central
focus
of systemic elements of the Bridge
infrastructure. The key theoretical
concept is that of a “utility
function”. It is thought to have
partial control over how a complex system evolves.
Formal models that use utility functions demonstrate that
properties, such as individual selfishness, are aggregated over time,
resulting
in specific social characteristics[1]
[2]. Elitism is often part of how professors
of mathematics feel about knowledge of higher mathematics, for example. Very common feelings of elitism may
explain part of why only a few individuals pursue an understanding of
mathematics. Certain feelings
about nationalism or racism may offer additional understandings. The individual faculty member’s fear of
being held responsible may lead to institutional hiding of failure, and
a cycle
leading to greater failure. Our analysis
sheds light on why the current
system is not grounded in a way that would allow fully socialized
systems to
perform better. We advance a
theory based on science and systems theory. Our
view of science recognizes organizational structure for
social value, and a separate structure for personal value.
This recognition allows us to model
social systems in a hybrid way; restricting rational choice to
localized
interactions and social benevolence to interactions that are not
localized. The dual nature,
localized and distributed, found in physics is to be used in our model. A sense of
the common good is to be instrumented
within a social media. A balance
between socialism and capitalism is anticipated. Socialism
is seen as the pure representation of social
value, without considering specific individuals. Free
market capitalism is, in contrast, seen as a pure representation
of individual value, without considering social value.
Neither model is complete, but
both might interact to produce the better educational system. This is our hope and our expectation. The pure
representations, socialism or
capitalism, are often in conflict with each other.
Both representations are combined into a single model only
by addressing hard problems in systems theory; e.g., those of
non-locality,
emergence and induction. For
example, the side effects of capitalism, as often practiced, creates
social
injustice by treating individuals unfairly. The
consequences to the individual are often ignored. On
the other hand, our sense of social
benevolence is misplaced when the inner perceived realties of the
“other”
individual is not accounted for.
We act when we believe we know best, and thus often harm
the other
individual. Good intentions are
often overcome due to an absent of complete knowledge.
Markets sometimes do not work due to
distortions in the marketplace due to the same absence of complete
knowledge. Nowhere are failures
such as these more evident than in education and health care. On the other hand, we have great
successes and are part of an advancing civilization.
Stratification
theory is posed as a means to
better model educational, economic, or environmental systems. It is a new theory, but the principles
may be seen arising in enterprise oriented transition systems, often
called
“service oriented computing”[3]
software systems. We also see this
theory in physics, chemistry and biological systems.
A central principle is based on electromagnetic coherence. In simple terms, transaction logics are
sought which indicate how services are to be defined and fulfilled. This type of model often produces value
within enterprise systems attempting to make coherent the reality of
supply
chains and purchase agreements.
Real economic interaction is not this simple; however. Logics imply rational coherence and yet
often fail to resolve instances where there are structural conflicts. Technical
means are used to provide a three
dimensional avatar world having high degrees of informational security
and
in-world monitoring. This world serves a dedicated purpose, both in the
management of education and in the delivery of services.
Multi-coherence is defined as a complex
phenomenon having the ability to form field coherence and to then shift
from
one field coherence to another.
Creating a new perception to replace a perception that is
less valuable
is served by having knowledge representation tools where shifts in
viewpoint are
facilitated. This capability is
offered to the individual and to the educational institutions
themselves. Our technical
means models a shift from one
sense of coherence to another sense of coherence. Why
has this been part of the design? Academic learning is
not merely a linear adding of facts, but rather the gaining of insight
about a
field of study. Deep learning is learning that transforms the
individual in the
presence of knowledge. This knowledge is handed down from past
generations. This means that learning
involves
changes in the neuro-architecture.
A neuroscience-based model of individual thought is built
into the
architecture[4]. This model is connected to standard
knowledge representation formal languages, primarily resource
description
framework language[5]. For example,
most individual high school students
have a false belief about the value of higher mathematics.
This belief has to be abandoned and a
new belief developed if educational experience, about higher
mathematics, is to
provide a specific value to the individual. Deep
learning methods are incorporated into a virtual
infrastructure designed to provide a transition from high school to
college. We cannot merely seek to
add something to the individual, but in a real sense we must allow a
change in
how the individual sees him or her self.
The
individual is supported in developing an
understanding of self, within a system that will allow this development
within
systemic constraints imposed from the community of scholars. In the case of mathematics, a community
of mathematicians agrees a set of focus topics. This
set is represented by names of topics, illustrations of
specific topics, and common understandings about how topics are
inter-related. The
infrastructure if developed as designed,
will function both with social objectives and free market dynamics. A network of specially shops will
provide economic support for the Bridge
infrastructure. We have focused our
thought on how
local communities might gather for coffee, or for health related teas. The “Second School” Tea and Coffee
shops might have a bakery and teleconference rooms.
As social media develops, the teleconference rooms
initially
function to connect the high school student into the system. Once the virtual connection is made,
the individual has potential resources far exceeding what the average
American
student currently has. A grass
roots evolution of an economic marketplace, based on a franchised
community
centered business, could produce financial support from free market
principles. A business model is designed
so as to
produce a social value. [1] Allingham, Michael
(2002). Choice
Theory: A Very Short Introduction, Oxford. [2] Epstein, Joshua M;
Axtell; (1996) Growing
artificial societies: social science from the bottom up; from Brookings
Institution Press [3] Prueitt, Paul (2009) -
"The
Service Engine: Structured Communication using Modern Service
Technologies" SOA Magazine, http://www.soamag.com/I30/0709-1.asp [4] Prueitt, Paul Stephen
(2012) -
"Digital Instrumentation and the Measurement of Experience” Accepted:
2nd
International Symposium on Integrating Research, Education, and Problem
Solving
(IREPS 2012) included as a Focus Symposium in the 3rd. International
Conference
on Society and Information Technologies (ICSIT 2012), Orlando, USA, on
March
25th - 28th, 2012 [5] Prueitt. P. (2001).
Foundational
Paper on the Transformation of Knowledge Ecology to a Knowledge
Economy,
Knowledge Management Consortium Institute Journal, Vol. 1 Issue 2 |