The document summarizes the concept of knowledge building, which involves engaging learners in the full process of knowledge creation from an early age rather than just preparing them for knowledge building later on. It distinguishes knowledge building from other approaches that focus on foundational learning, skills, and collaborative activities as precursors to knowledge work. Knowledge building directly involves learners in advancing collective understanding through improving shared ideas.
Lecture 4 in the module 'Cognition & Development'. Vygotsky.
Learning Outcomes: Introduce the Vygotskian theory. Think about how Vygotskian theory has informed Developmental psychology. Consider the relationship between language and development. Consider the educational implications of Vygotskyâs theory.
Learning Theory, constructivism, education, ICT in education learning theory, theory, classroom implementation of learning theory, thought of learning theory, way of implementation of theory in ICT, constructivist classroom, methods in a constructivist classroom
This is an introduction to theories based on cognitivism as a an underlying learning theory with ideas of how teachers could adopt these in a teaching context.
The work of Lev Vygotsky (1934) has become the foundation of much research and theory in cognitive development over the past several decades specially in Social Development Theory.
Vygotsky's theories stress the fundamental role of social interaction in the development of cognition , as he believed strongly that community plays a central role in the process of "making meaning."
He believed that Social Learning tends to precede development unlike Piaget's notion that childrens' development must necessarily precede their learning.
He argued, "learning is a necessary and universal aspect of the process of developing culturally organized, specifically human psychological function" (1978, p. 90).Â
Vygotsky has developed a socio cultural approach to cognitive development.
His theories are incomplete due to death at an early age of 38.
Some of his writings are still being translated from Russian.
Lecture 4 in the module 'Cognition & Development'. Vygotsky.
Learning Outcomes: Introduce the Vygotskian theory. Think about how Vygotskian theory has informed Developmental psychology. Consider the relationship between language and development. Consider the educational implications of Vygotskyâs theory.
Learning Theory, constructivism, education, ICT in education learning theory, theory, classroom implementation of learning theory, thought of learning theory, way of implementation of theory in ICT, constructivist classroom, methods in a constructivist classroom
This is an introduction to theories based on cognitivism as a an underlying learning theory with ideas of how teachers could adopt these in a teaching context.
The work of Lev Vygotsky (1934) has become the foundation of much research and theory in cognitive development over the past several decades specially in Social Development Theory.
Vygotsky's theories stress the fundamental role of social interaction in the development of cognition , as he believed strongly that community plays a central role in the process of "making meaning."
He believed that Social Learning tends to precede development unlike Piaget's notion that childrens' development must necessarily precede their learning.
He argued, "learning is a necessary and universal aspect of the process of developing culturally organized, specifically human psychological function" (1978, p. 90).Â
Vygotsky has developed a socio cultural approach to cognitive development.
His theories are incomplete due to death at an early age of 38.
Some of his writings are still being translated from Russian.
Knowledge construction is a dialectical process, which involves systematisation of various facts through dynamic interactions between individuals and the environment. Knowledge creation is a spiral that goes through seemingly opposing concepts such as order and chaos, micro-macro, part-whole, mind and body, tacit and explicit, deduction and induction, and creativity-efficiency. There is need to understand that knowledge creation is a transcending process through which entities (individuals, groups, and institutions) go beyond the boundary of the old into a self-acquiring new knowledge. Learners work with their knowledge such that they link their new knowledge to their existing knowledgebase.
Keynote presentation for the Education Leaders Forum - New Zealand. Abstract: The COVID pandemic has thrown back the curtain on a great deal of what needs to be improved or addressed in our current education system, including a high degree of inequity across all areas, especially access to onlinelearning.
The responses we saw during the 2020 lockdowns promised some transformative action and outcomes. But slowly weâve seen a âreturn to the old normalâ mindset. The âbig ideasâ that were evident have faded into obscurity as the old patterns of thinking and acting take over.
Clement Coulston - Innovation in Thinking and Learning Think Tank ReflectionsClement Coulston
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On December 3rd 2013, students, educators, administrators, parents, and individuals from throughout the community gathered at the University of Oklahomaâs K20 Center, to partake in a Dell hosted Innovation in Teaching and Learning Think Tank. The Think Tank explored two overarching topics
of inquiry-based learning and collaborative leadership. The
discussions enthused at the Think Tank, were further
developed online, through its live-stream, twitter participation
with the #DoMoreEdu hashtag and graphic recording. This document encompasses highlights from the discussions and questions for one to consider.
17J a n u a r y F e b r u a r y 2 0 0 8î E d u c a u s E r .docxhyacinthshackley2629
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17J a n u a r y / F e b r u a r y 2 0 0 8î E d u c a u s E r e v i e wI l l u s t r a t i o n b y D u n g H o a n g , Š 2 0 0 8
By John seely Brown and Richard P. adler
Š 2 0 0 8 J o h n S e e l y B r o w n a n d R i c h a r d P. A d l e r
Open Education, the Long Tail, and Learning 2.0
John Seely Brown is a Visiting Scholar and Advisor to the Provost at the University of Southern
California (USC) and Independent Co-Chairman of a New Deloitte Research Center. He is the former
Chief Scientist of Xerox and Director of its Palo Alto Research Center (PARC). Many of his publica-
tions and presentations are on his website (http://www.johnseelybrown.com). Richard P. Adler is a
Research Affiliate at the Institute for the Future in Palo Alto and Principal of People & Technology, a
research and consulting firm in Cupertino, California.
More than one-third of the worldâs
population is under 20. There
are over 30 million people today
qualified to enter a university
who have no place to go. During
the next decade, this 30 million
will grow to 10 0 million. To meet
this staggering demand, a major
university needs to be created
each week.
âSir John Daniel, 1996 T
he world has become increasingly âflat,â as Tom Friedman
has shown. Thanks to massive improvements in communi-
cations and transportation, virtually any place on earth can
be connected to markets anywhere else on earth and can
become globally competitive.1 But at the same time that the
world has become flatter, it has also become âspikierâ: the
places that are globally competitive are those that have ro-
bust local ecosystems of resources supporting innovation and productive-
ness.2 A key part of any such ecosystem is a well-educated workforce with
the requisite competitive skills. And in a rapidly changing world, these eco-
systems must not only supply this workforce but also provide support for
continuous learning and for the ongoing creation of new ideas and skills.
Minds
on
Te x t i l l u s t r a t i o n s Š 2 0 0 8 S u s a n E . H a v i l a n d
18 E d u c a u s E r e v i e w î J a n u a r y / F e b r u a r y 2 0 0 8
If access to higher education is a nec-
essary element in expanding economic
prosperity and improving the quality of
life, then we need to address the problem
of the growing global demand for educa-
tion, as identified by Sir John Daniel.3
Compounding this challenge of demand
from college-age students is the fact that
the world is changing at an ever-faster
pace. Few of us today will have a fixed,
single career; instead, we are likely to
follow a trajectory that encompasses
multiple careers. As we move from ca-
reer to career, much of what we will need
to know will not be what we learned in
school decades earlier. We are entering a
world in which we all will have to acquire
new knowledge and skills on an almost
continuous basis.
It is unlikely that sufficient resources
will be available to build enough new
ca.
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Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
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Scardamalia and Bereiter: The Theory of Knowledge Building
1. Scardamalia, M., & Bereiter, C. (in press). Knowledge Building. In Encyclopedia of Education,
Second Edition. New York: Macmillan Reference, USA.
Knowledge Building
In what is coming to be called the âknowledge age,â the health and wealth of societies depends
increasingly on their capacity to innovate. People in general, not just a specialized elite, need to
work creatively with knowledge. As Peter Drucker put it âInnovation must be part and parcel of
the ordinary, the norm, if not routine.â This presents a formidable new challenge: how to develop
citizens who not only possess up-to-date knowledge but are able to participate in the creation of
new knowledge as a normal part of their lives.
There are no proven methods of educating people to be producers of knowledge. Knowledge
creators of the past have been too few and too exceptional in their talents to provide much basis
for educational planning. In the absence of pedagogical theory, learning-by-doing and
apprenticeship are the methods of choice; but this does not seem feasible if the âdoingâ in
question is the making of original discoveries, inventions, and plans. Rather, we must think of a
developmental trajectory leading from the natural inquisitiveness of the young child to the
disciplined creativity of the mature knowledge producer. The challenge, then, will be to get
students on to that trajectory. But what is the nature of this trajectory and of movement along it?
There are three time-honored answers that provide partial solutions at best.
One approach emphasizes foundational knowledge: First master what is already known. In practice
this means that knowledge creation does not enter the picture until graduate school or adult work, by
which time the vast majority of people are unprepared for the challenge.
A second approach focuses on subskills: Master component skills such as critical thinking, scientific
method, and collaboration; later, assemble these into competent original research, design, and so
2. forth. Again, the assemblyâif it occurs at allâtypically occurs only at advanced levels that are
reached by only a few. Additionally, the core motivationâadvancing the frontiers of knowledgeâis
missing, with the result that the component skills are pursued as ends in themselves, lacking in
authentic purpose. Subskill approaches remain popular (now often under the banner of âtwenty-first
century skillsâ) because they lend themselves to parsing the curriculum into specific objectives.
A third approach is associated with such labels as âlearning communities,â âproject-based learning,â
and âguided discovery.â Knowledge is socially constructed, and best supported through
collaborations designed so that participants share knowledge and tackle projects that incorporate
features of adult teamwork, real-world content, and use of varied information sources. This is the
most widely supported approach at present, especially with regard to the use of information
technology. The main drawback is that it too easily declines toward what is discussed below as
shallow constructivism.
Knowledge building provides an alternative that more directly addresses the need to educate people
for a world in which knowledge creation and innovation are pervasive. Knowledge building may be
defined as the production and continual improvement of ideas of value to a community, through
means that increase the likelihood that what the community accomplishes will be greater than the
sum of individual contributions and part of broader cultural efforts. Knowledge building, thus, goes
on throughout a knowledge society and is not limited to education. As applied to education,
however, the approach means engaging learners in the full process of knowledge creation from an
early age. This is in contrast to the three approaches identified above, which focus on kinds of
learning and activities that are expected to lead eventually to knowledge building rather than
engagement directly in it.
3. The basic premise of the knowledge building approach is that, although achievements may
differ, the process of knowledge building is essentially the same across the trajectory running
from early childhood to the most advanced levels of theorizing, invention, and design, and across
the spectrum of knowledge creating organizations, within and beyond school. If learners are
engaged in processes only suitable for school, then they are not engaged in knowledge building.
Learning and Knowledge Building: Important Distinctions
An Internet search turned up 32,000 web pages that use the term âknowledge building.â A
sampling of these suggests that business people use the term to connote knowledge creation,
whereas in education it tends to be used as a synonym for learning. This obscures an important
distinction. Learning is an internal, unobservable process that results in changes of belief,
attitude, or skill. Knowledge building, by contrast, results in the creation or modification of
public knowledgeâknowledge that lives âin the worldâ and is available to be worked on and
used by other people. Of course creating public knowledge results in personal learning, but so
does practically all human activity. Results to date suggest that the learning that accompanies
knowledge building encompasses the foundational learning, subskills, and socio-cognitive
dynamics pursued in other approaches, along with the additional benefit of movement along the
trajectory to mature knowledge creation. Whether they are scientists working on an explanation
of cell aging, engineers designing fuel-efficient vehicles, nurses planning improvements in
patient care, or first-graders working on an explanation of leaves changing color in the fall,
knowledge builders engage in similar processes with a similar goal. That goal is to advance the
frontiers of knowledge as they perceive them. Of course, the frontiers as perceived by children
will be different from those perceived by professionals, but professionals may also disagree
4. among themselves about where the frontier is and what constitutes an advance. Dealing with
such issues is part of the work of any knowledge building group, and so students must learn to
deal with these issues as well. Identifying the frontier should be part of their research, not
something preordained. The knowledge building trajectory involves taking increasing
responsibility for these and other high-level, long term aspects of knowledge work. This
distinguishes knowledge building from collaborative learning activities. Keeping abreast of
advancing knowledge is now recognized as essential for members of a knowledge society.
Knowledge building goes beyond this to recognize the importance of creating new knowledge.
The key distinction is between learningâthe process through which the rapidly growing cultural
capital of a society is distributedâand knowledge buildingâthe deliberate effort to increase the
cultural capital of society.
Shallow versus Deep Constructivism
âConstructivismâ is a term whose vagueness beclouds important distinctions. Knowledge
building is clearly a constructive process, but most of what goes on in the name of
constructivism is not knowledge building. To clarify, it is helpful to distinguish between shallow
and deep forms of constructivism. The shallowest forms engage students in tasks and activities in
which ideas have no overt presence but are entirely implicit. Students describe the activities they
are engaged in (e.g., planting seeds, measuring shadows) and show little awareness of the
underlying principles that these tasks are to convey. In the deepest forms of constructivism,
people are advancing the frontiers of knowledge in their community. This purpose guides and
structures their activity: Overt practices such as identifying problems of understanding,
establishing and refining goals based on progress, gathering information, theorizing, designing
5. experiments, answering questions and improving theories, building models, monitoring and
evaluating progress, and reporting are all directed by the participants themselves toward
knowledge building goals.
Most learner-centered, inquiry-based, learning community and other approaches labeled
âconstructivistâ are distributed somewhere between these extremes of shallow and deep
constructivism. Participants in this middle ground are engaged to a greater or lesser extent with
ideas and they have greater or lesser amounts of responsibility for achieving goals, but the over-
arching responsibility and means for advancing the frontiers of knowledge are either absent or
remain in the hands of the teacher or project designer. The idea of 'guided discovery' suggests
this middle ground. Middle-level constructivist approaches are best categorized as constructivist
learning rather than knowledge building. Knowledge building calls for deep constructivism at all
educational levels; it is the key to innovation.
Knowledge Building Environments
In knowledge building, ideas are treated as real things, as objects of inquiry and improvement in
their own right. Knowledge building environments enable ideas to get out into the world and
onto a path of continual improvement. This means not only preserving them but making them
available to the whole community in a form that allows them to be discussed, interconnected,
revised, and superseded.
Threaded discourse, which is the predominant Internet technology for idea exchange, has limited
value for this purpose. Typically, ideas are lodged within conversational threads, contributions
are unmodifiable, and there is no way of linking ideas in different threads or assimilating them
into larger wholes. By contrast, CSILE/Knowledge ForumÂŽ, a technology designed specifically
6. to support knowledge building, has these required provisions and scaffolding supports for idea
development, graphical means for viewing and reconstructing ideas from multiple perspectives,
means of joining discourses across communities, and a variety of other functions that contribute
to collaborative knowledge building. Contributions to a community knowledge base serve to
create shared intellectual property, and give ideas a life beyond the transitory nature of
conversation and its isolation from other discourses. Thus the environment supports sustained
collaborative knowledge work, integral to the day-to-day workings of the community, as
opposed to merely providing a discussion forum that serves as an add-on to regular work or
study.
A shared workspace for knowledge building enables a self-organizing system of interactions
among participants and their ideas and helps to eliminate the need for externally designed
organizers of work. Advances within this communal space continually generate further
advances, with problems reformulated at more complex levels that bring a wider range of
knowledge into consideration. Thus there is a compounding effect, much like the compounding
of capital through investment. Supporting such compounding and social responsibility for the
collective work is the main challenge in the design of knowledge building environments.
In keeping with the belief that the process of knowledge building is fundamentally the same at
beginning and advanced levels, and across sectors and cultures, Knowledge Forum is used from
grade 1 to graduate school, and in a variety of knowledge-based organizations in countries
around the world.
7. Social Aspects of Knowledge Building
Educational approaches of all kinds are subject to what is called the âMatthew effectâ: The rich
get richer. The more you know the more you can learn. This is as close to a law of nature as
learning research has come. It can be used to justify loading the elementary curriculum with
large quantities of content. However, another potent principle is that knowledge needs to be of
value to people in their current lives, not merely banked against future needs. This is part of the
justification for activity and project-based methods where work is driven by studentsâ own
interests. In knowledge building this Deweyean principle is carried a step farther: Advances in
understanding produce conceptual tools to achieve further advances in understanding. Thus there
is a dynamism to knowledge building that can be a powerful motivator.
The Matthew effect foretells a widening gap between haves and have-nots in education, one that
may already be manifesting itself in the widening income gap between the more and the less
well-educated. No educational approach can be expected to solve the related equity problems,
but knowledge building offers signal advantages. The knowledge building trajectory offers value
all along its course, not just at its upper reaches. At all stages people are building authentic
knowledge that is immediately useful to themselves and their community in making sense of
their world. They are also developing skills and habits of mind conducive to lifelong learning. It
is not assumed that everyone will come out equal in the end, but possibilities for continual
advancement remain open for all.
From a social standpoint, the ability to connect discourses within and between communities
opens new possibilities for barrier-crossing and mutual support. Successful knowledge building
communities establish socio-cognitive norms and values that all participants are aware of and
work toward. These include contributing to collective knowledge advances, constructive and
8. considerate criticism, and continual seeking of idea improvements. Grade 1 students, participants
with low-literacy levels, and workers in knowledge-creating organizations can all adopt such
norms, which then serve as a basis for cooperation across the developmental trajectory and
among culturally diverse groups.
Knowledge building has been shown to yield advantages in literacy, in twenty-first century
skills, in core content knowledge, in the ability to learn from text, and in other abilities.
However, it is the fact that knowledge building involves students directly in creative and
sustained work with ideas that makes it especially promising as the foundation for education in
the knowledge age.
Bibliography
Bereiter, Carl. 2002. Education and mind in the knowledge age. Mahwah, NJ: Lawrence
Erlbaum Associates.
Drucker, Peter. 1985. Innovation and entrepreneurship: practice and principles. New York:
Harper and Row.
Homer-Dixon, Thomas. 2000. The ingenuity gap: Facing the economic, environmental, and
other challenges of an increasingly complex and unpredictable world. New York: Knopf.
Scardamalia, Marlene. 2002. âCollective cognitive responsibility for the advancement of
knowledge.â In Liberal education in a knowledge society, ed., Barry Smith. Chicago: Open
Court.
Scardamalia, Marlene; Bereiter, Carl; and Lamon, Mary. 1994. âThe CSILE Project: Trying to
bring the classroom into World 3.â In Classroom Lessons: Integrating Cognitive Theory
9. and Classroom Practice, ed., Kate McGilley. Cambridge, MA: Massachusetts Institute of
Technology Press.
Stanovich, Keith E. 1986. âMatthew effects in reading: Some consequences in individual
differences in reading in the acquisition of literacy.â Reading Research Quarterly 21:360-
406.
Marlene Scardamalia, Institute for Knowledge Innovation and Technology and Ontario Institute
for Studies in Education of the University of Toronto.
Carl Bereiter, Institute for Knowledge Innovation and Technology and Ontario Institute for
Studies in Education of the University of Toronto.