Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/springer-journals/an-atom-is-known-by-the-company-it-keeps-a-constructionist-learning-fIxvRs6Z5F
References (93)
-
G. Brown (1961)
Today's Dilemma in Engineering EducationIre Transactions on Education, 4
-
(2006)
Students' foraging through the complexities of the particulate world: Scaffolding for independent inquiry in the connected chemistry (MAC) curriculum -
J. Gobert, P. Horwitz, Bob Tinker, Barbara Buckley, U. Wilensky, S. Levy, C. Dede (2003)
Modeling Across the Curriculum: Scaling up Modeling using Technology, 25
-
U. Wilensky (2004)
MaterialSim : An Agent-Based Simulation Toolkit for Learning Materials Science -
Robert Goldstone, U. Wilensky (2008)
Promoting Transfer by Grounding Complex Systems PrinciplesJournal of the Learning Sciences, 17
-
Damon Centola, U. Wilensky, Eamon McKenzie (2000)
A Hands-on Modeling Approach to Evolution: Learning about the Evolution of Cooperation and Altruism Through Multi-Agent Modeling - The EACH Project -
E. Ernst (1992)
A New Paradigm for Engineering EducationProceedings. Twenty-Second Annual conference Frontiers in Education
-
(1986)
Engineering undergraduate education -
(1985)
Engineering education and practice in the United States: Foundations of our techno-economic future -
S Papert (1991)
Constructionism -
Daniel Yamins (2005)
Towards a theory of "local to global" in distributed multi-agent systems (I) -
C. Morón, M. Mora, A. García (2000)
Computer simulation of grain growth kineticsJournal of Magnetism and Magnetic Materials, 215
-
CL Dym, AM Agogino, O Eris, DD Frey, LJ Leifer (2005)
Engineering design thinking, teaching, and learningJournal of Engineering Education, 94
-
RA Lamley (1996)
A model for an engineering educationMarine Technology and Sname News, 33
-
U Wilensky (1995)
Paradox, programming and learning probabilityJournal of Mathematical Behavior, 14
-
U. Wilensky, K. Reisman (2006)
Thinking Like a Wolf, a Sheep, or a Firefly: Learning Biology Through Constructing and Testing Computational Theories—An Embodied Modeling ApproachCognition and Instruction, 24
-
Robert Goldstone, U. Northwestern (2005)
Promoting Transfer through Complex Systems Principles -
F. Martin (1996)
Ideal and Real Systems: A study of notions -
Harold Frost, Carl Thompson (1996)
Computer simulation of grain growthCurrent Opinion in Solid State & Materials Science, 1
-
B. Sherin (2001)
A Comparison of Programming Languages and Algebraic Notation as Expressive Languages for PhysicsInternational Journal of Computers for Mathematical Learning, 6
-
C. Dym (1999)
Learning Engineering: Design, Languages, and Experiences *Journal of Engineering Education, 88
-
U. Wilensky (1999)
GasLab—an Extensible Modeling Toolkit for Exploring Micro- and Macro- Views of Gases -
(2005)
Complex play systems—Results from a classroom implementation of Vbot -
(1949)
Some factors affecting the rate of grain growth in metals -
L. Edwards (1995)
Microworlds as Representations -
Dor Abrahamson, U. Wilensky (2005)
PROBLAB GOES TO SCHOOL: DESIGN, TEACHING, AND LEARNING OF PROBABILITY WITH MULTI-AGENT INTERACTIVE COMPUTER MODELS -
(2006)
Hybrid modeling': Advanced scientific investigation linking computer models and real-world sensing -
(2001)
Repast. University of Chicago. http://repast.sourceforge.net -
(2004)
MaterialSim curriculum. Center for Connected Learning and Computer Based Modeling -
Paulo Blikstein (2006)
From inert to generative modeling: two case studies of Multi-Agent-Based Simulation in Undergraduate Engineering education -
U. Wilensky (1993)
Connected mathematics : builiding concrete relationships with mathematical knowledge -
(1975)
Future directions in engineering-education—System response to a changing world—a report -
Jinhua Gao, R. Thompson, B. Patterson (1997)
Computer simulation of grain growth with second phase particle pinningActa Materialia, 45
-
(2000)
A bale of turtles: A case study of a middle school science class studying complexity using StarLogoT. Paper presented at the meeting of the Spencer Foundation -
U Wilensky (2003)
Statistical mechanics for secondary school: The GasLab modeling toolkitInternational Journal of Computers for Mathematical Learning, 8
-
Raymond Kurzweil (2003)
A New Kind of ScienceThe Yale Journal of Biology and Medicine, 75
-
(2002)
Behavior Space [Computer Software] -
Mike Stieff, U. Wilensky (2003)
Connected Chemistry—Incorporating Interactive Simulations into the Chemistry ClassroomJournal of Science Education and Technology, 12
-
(2005)
Center for Learning and Computation-Based Knowledge (CLiCK). Proposal to the National Science Foundation Science of Learning Centers -
G. Hatano, Y. Oura (2003)
Commentary: Reconceptualizing School Learning Using Insight From Expertise ResearchEducational Researcher, 32
-
C. Dym, A. Agogino, O. Eris, D. Frey, L. Leifer (2005)
Engineering design thinking, teaching, and learningIEEE Engineering Management Review, 34
-
H. Einstein (2002)
Engineering Change at MITCivil Engineering, 72
-
U. Wilensky, Paulo Blikstein (2009)
An atom is known by the company it keeps: content, representation and pedagogy within the epistemic revolution of the complexity sciences -
A. diSessa (2000)
Changing Minds: Computers, Learning, and Literacy -
(1983)
Engineering - education in perspective -
A. diSessa (1993)
Toward an Epistemology of PhysicsCognition and Instruction, 10
-
U Wilensky, K Reisman (2006)
Thinking like a wolf, a sheep or a firefly: Learning biology through constructing and testing computational theoriesCognition & Instruction, 24
-
F Martin (1996)
Constructionism in practice -
S. Krause, A. Tasooji (2007)
Diagnosing students' misconceptions on solubility and saturation for understanding of phase diagrams -
K. Hurst (1995)
A new paradigm for engineering educationProceedings Frontiers in Education 1995 25th Annual Conference. Engineering Education for the 21st Century, 1
-
(2006)
Complex systems and reformulating scientific disciplines : Implications for learning , analysis of social systems , and educational policy -
(2004)
Modelling and Simulation in Materials -
(2008)
On the learnability of electricity as a complex system -
U Wilensky (1999)
Computer modeling and simulation in science education -
S. Papert (1981)
Mindstorms: Children, Computers, and Powerful Ideas -
H. Parunak, R. Savit, R. Riolo (1998)
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide -
K. Thornton, M. Asta (2005)
Current status and outlook of computational materials science education in the USModelling and Simulation in Materials Science and Engineering, 13
-
E. Soloway, M. Guzdial, K. Hay (1994)
Learner-centered design: the challenge for HCI in the 21st centuryInteractions, 1
-
M. Roco (2002)
Nanotechnology—A Frontier for Engineering Education* -
U Wilensky, W Rand (2009)
An introduction to agent-based modeling: Modeling natural, social and engineered complex systems with NetLogo -
J. Bransford, Daniel Schwartz (1999)
Chapter 3: Rethinking Transfer: A Simple Proposal With Multiple ImplicationsReview of Research in Education, 24
-
G. Reeke (1991)
The society of mindArtificial Intelligence, 48
-
J. Bransford, Daniel Schwartz (1999)
Rethinking transfer: A simple proposal with multiple implica-tions -
O. Hunderi, N. Ryum, H. Westengen (1979)
Computer simulation of grain growthActa Metallurgica, 27
-
G. Meyrick, G. Powell (1973)
Phase Transformations in Metals and AlloysAnnual Review of Materials Science, 3
-
(1991)
Situating constructionism -
J. Russell, W. Stouffer (2005)
Survey of the National Civil Engineering CurriculumJournal of Professional Issues in Engineering Education and Practice, 131
-
(2009)
Complementarity in equational and agent-based models: A pedagogical perspective -
(2007)
ASEE profiles of engineering and engineering technology colleges -
(2004)
Connected chemistry—A study of secondary students using agent-based models to learn chemistry -
Robert Goldstone (2006)
The Complex Systems See-Change in EducationJournal of the Learning Sciences, 15
-
David Tyack, Larry Cuban (1996)
Tinkering toward Utopia: A Century of Public School Reform.The Journal of American History, 83
-
(2003)
MAC: A longitudinal study of modeling technology in science classrooms -
Wilensky -
(2004)
Virtual robotics in a collaborative constructionist learning environment -
U. Wilensky (2003)
Statistical Mechanics for Secondary School: The GasLab Multi-agent Modeling ToolkitInternational Journal of Computers for Mathematical Learning, 8
-
J. Colgate, A. McKenna, Bruce Ankenman (2004)
IDEA: Implementing Design Throughout the Curriculum at Northwestern*International Journal of Engineering Education, 20
-
R. Siegler, K. Crowley (1991)
The microgenetic method. A direct means for studying cognitive development.The American psychologist, 46 6
-
Carlos Scartascini, Ernesto Stein (2009)
A New FrameworkPolitical Economy: Budget
-
G. Tryggvason, D. Apelian (2006)
Re-engineering engineering education for the challenges of the 21st centuryJOM, 58
-
K. Haghighi (2005)
Systematic and Sustainable Reform in Engineering EducationJournal of Environmental Engineering, 131
-
K. Banks, H. Diefes‐Dux, D. Follman, J. Gaunt, K. Haghighi, L. Jamieson, R. Montgomery, W. Oakes, P. Wankat (2004)
A New Framework for Academic Reform in Engineering Education -
(2000)
Design learning as conceptual change: A framework for developing a science of design learning. Conference of the American Society of Engineering Education -
Restructurations: Reformulations of knowledge disciplines through new representational forms. Working paper -
G. Hassold, D. Srolovitz (1995)
Computer simulation of grain growth with mobile particlesScripta Metallurgica Et Materialia, 32
-
An Atom is Known by the Company it Keeps 119 -
N. Kulov, M. Slin'ko (2004)
The State of the Art in Chemical Engineering Science and EducationTheoretical Foundations of Chemical Engineering, 38
-
U. Wilensky (1995)
Paradox, programming, and learning probability: A case study in a connected mathematics frameworkThe Journal of Mathematical Behavior, 14
-
U. Wilensky, M. Resnick (1999)
Thinking in Levels: A Dynamic Systems Approach to Making Sense of the WorldJournal of Science Education and Technology, 8
-
Paulo Blikstein, A. Tschiptschin (1999)
Monte Carlo simulation of grain growthMaterials Research, 2
-
N. Ono, K. Kimura, Tadao Watanabe (1999)
Monte Carlo simulation of grain growth with the full spectra of grain orientation and grain boundary energyActa Materialia, 47
-
Rachel Lamley (1996)
A Model for an Engineering EducationMarine Technology Society Journal, 33
-
D. Srolovitz, M. Anderson, P. Sahni, G. Grest (1984)
Computer simulation of grain growth—II. Grain size distribution, topology, and local dynamicsActa Metallurgica, 32
- Publisher
- Springer Journals
- Copyright
- Copyright © 2009 by Springer Science+Business Media B.V.
- Subject
- Education; Learning and Instruction; Mathematics Education; Educational Technology; Science Education; Creativity and Arts Education
- ISSN
- 2211-1662
- eISSN
- 1573-1766
- DOI
- 10.1007/s10758-009-9148-8
- Publisher site
- See Article on Publisher Site
Abstract
This article reports on “MaterialSim”, an undergraduate-level computational materials science set of constructionist activities which we have developed and tested in classrooms. We investigate: (a) the cognition of students engaging in scientific inquiry through interacting with simulations; (b) the effects of students programming simulations as opposed to only interacting with ready-made simulations; (c) the characteristics, advantages, and trajectories of scientific content knowledge that is articulated in epistemic forms and representational infrastructures unique to computational materials science, and (d) the principles which govern the design of computational agent-based learning environments in general and for materials science in particular. Data sources for the evaluation of these studies include classroom observations, interviews with students, videotaped sessions of model-building, questionnaires, and analysis of artifacts. Results suggest that by becoming ‘model builders,’ students develop deeper understanding of core concepts in materials science, and learn how to better identify unifying principles and behaviors within the content matter.
Journal
"Technology, Knowledge and Learning" – Springer Journals
Published: Oct 29, 2009