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.
Original language | English (US) |
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Pages (from-to) | 81-119 |
Number of pages | 39 |
Journal | International Journal of Computers for Mathematical Learning |
Volume | 14 |
Issue number | 2 |
DOIs | |
State | Published - Jul 2009 |
Funding
Acknowledgments We thank Prof. Tschiptschin (Engineering School of the University of São Paulo, Brazil), Prof. Srolovitz (Yeshiva University), the members of the Center for Connected Learning and Computer-Based Modeling at Northwestern University, in particular, Spiro Maroulis and Michelle Wilk-erson-Jerde, and Prof. Dor Abrahamson (UC Berkeley) for valuable comments on drafts of this paper. We also thank Ann McKenna from the McCormick School of Engineering at Northwestern University. This work was funded under the umbrella of three NSF grants: NSF grants REC-0126227, HCC-0713619 and NSF EEC-0648316.
Keywords
- Agent-based modeling
- Complexity sciences
- Constructionism
- Engineering education
- Materials science
- Modeling
- Multi-agent modeling
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ASJC Scopus subject areas
- Theoretical Computer Science
- General Engineering
- Computer Science Applications
- Computational Theory and Mathematics