Access the full text.
Sign up today, get DeepDyve free for 14 days.
M. Resnick (1994)
Turtles, termites, and traffic jams - explorations in massively parallel microworlds
R. Dawkins (1976)
The Selfish Gene
U. Wilensky (1996)
Modeling Rugby: Kick First , Generalize Later?International Journal of Computers for Mathematical Learning, 1
M. Resnick (1996)
Beyond the Centralized MindsetThe Journal of the Learning Sciences, 5
Paul Lean (1954)
Cybernetics: Circular Causal and Feedback Mechanisms in Biological and Social SystemsThe Yale Journal of Biology and Medicine, 26
M. Resnick (1995)
New Paradigms for Computing, New Paradigms for Thinking
Pavel Curtis (1997)
Mudding: Social phenomena in text-based virtual realities.
T. Kalil (1996)
Leveraging cyberspaceIEEE Commun. Mag., 34
N. Roberts, D. Anderson, R. Deal, M. Garet, W. Shaffer (1994)
Introduction to Computer Simulation—A System Dynamics Modeling ApproachJournal of the Operational Research Society, 48
S. Papert (1981)
Mindstorms: Children, Computers, and Powerful Ideas
M. Best (1996)
An ecology of the net : message morphology and evolution in NetNews
B. Harvey (1985)
Computer science Logo style
Norman Packard
Artificial Life
H. Doerr (1996)
Stella ten years later: A review of the literatureInternational Journal of Computers for Mathematical Learning, 1
Gustavo Stubrich (1993)
The Fifth Discipline: The Art and Practice of the Learning OrganizationThe Columbia Journal of World Business, 28
S. Papert (1996)
An exploration in the space of mathematics educationsInternational Journal of Computers for Mathematical Learning, 1
(1994)
Auto-FAQ: An Experiment in Population Leveraging
F. Martin (1994)
Circuits to control--learning engineering by designing LEGO robots
J. Lave, E. Wenger (1991)
Situated Learning: Legitimate Peripheral Participation
J. Launer (2002)
Darwin's dangerous idea.QJM : monthly journal of the Association of Physicians, 95 3
(1997)
Exploratory Learning (pp. 31–43)
H. Pagels (1988)
The Dreams of Reason
M. Resnick, F. Martin, R. Sargent, Brian Silverman (1996)
Programmable Bricks: Toys to Think WithIBM Syst. J., 35
D. Heiss-Czedik (1997)
An Introduction to Genetic Algorithms.Artificial Life, 3
G. Reeke (1991)
The society of mindArtificial Intelligence, 48
M. Resnick (1991)
From Animals to Animats
M. Stefik (1997)
Internet Dreams: Archetypes, Myths, and Metaphors
TR Cech, Mitchell Waldrop (1992)
Complexity : the emerging science and the edge of order and chaos
M. Resnick (1991)
Animal simulations with Logo: Massive parallelism for the masses
R. Lewontin (1977)
‘The Selfish Gene’Nature, 267
M. Resnick, N. Rusk (1996)
The Computer Clubhouse: Preparing for Life in a Digital WorldIBM Syst. J., 35
U. Wilensky (1993)
Connected mathematics : builiding concrete relationships with mathematical knowledge
M. Gell-Mann (1994)
A Theory of Everything. (Book Reviews: The Quark and the Jaguar. Adventures in the Simple and the Complex.)Science
M. Gell-Mann (1994)
The Quark and the Jaguar: Adventures in the Simple and the Complex
(1994)
Superhack. Scientific American
F. Adler (1949)
Cybernetics, or Control and Communication in the Animal and the Machine.Archives of Ophthalmology, 41
G. Rosen (1952)
Cybernetics. Circular Causal and Feedback Mechanisms in Biological and Social SystemsAmerican Journal of Public Health, 42
J. Holland (1975)
Adaptation in natural and artificial systems
A. Bruckman, M. Resnick (1997)
Moose crossing: construction, community, and learning in a networked virtual world for kids
(1995)
The MediaMOO project: Constructionism
F. Taylor (1949)
Cybernetics (or control and communication in the animal and the machine).Psychological Bulletin, 46
A. Bruckman, M. Resnick (1995)
The MediaMOO project: Constructionism and professional communityConvergence, 1
M. Resnick (1997)
Learning through computational modelingComputers in The Schools, 14
S. Papert (1993)
The Children's Machine
MITCHEL RESNICK THINKING LIKE A TREE (AND OTHER FORMS OF ECOLOGICAL THINKING) 1. INTRODUCTION: THE WALKING TREE In the rain forests of Costa Rica, there is an unusual type of tree known as a “walking tree.” It is a strange looking tree. At the base of the tree is a tangle of roots, rising about a meter above the ground. It looks as if someone yanked the tree straight up out of the ground, leaving about a meter of its roots exposed above ground level. According to rain-forest guides, the walking tree actually changes its location over time (although very slowly). How does the tree move? The roots act as a type of evaluation system, searching for good soil for the tree. If there is good soil on the north side of the tree, the roots on that side dig in deeply and hold firmly. If the soil on the south side isn’t as good, the roots on that side remain shallow and weak. As the roots on the north side become stronger and deeper, the whole tree gradually shifts toward the north, pulled by the strong roots in that direction. As the tree moves, new roots grow around
"Technology, Knowledge and Learning" – Springer Journals
Published: Oct 11, 2004
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.