An atom is known by the company it keeps: A constructionist learning environment for materials science using agent-based modeling

被引：58
作者：
Blikstein P. [1 ]
Wilensky U. [2 ]
机构：
[1] Department of Computer Science, School of Education, Stanford University, Stanford, CA
[2] Department of Learning Sciences, School of Education and Social Policy, Northwestern University, Evanston, IL
来源：
International Journal of Computers for Mathematical Learning | 2009年 / 14卷 / 2期
基金：
美国国家科学基金会;
关键词：
Agent-based modeling; Complexity sciences; Constructionism; Engineering education; Materials science; Modeling; Multi-agent modeling; Net Logo;
D O I：
10.1007/s10758-009-9148-8
中图分类号：
学科分类号：
摘要：
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. © 2009 Springer Science+Business Media B.V.
引用
收藏
页码：81 / 119
页数：38
相关论文
共 79 条
  • [61] Tisue S., Wilensky U., NetLogo: A simple environment for modeling complexity, International Conference on Complex Systems (ICCS 2004), (2004)
  • [62] Tryggvason G., Apelian D., Re-engineering engineering education for the challenges of the 21st century, JOM, 58, 10, pp. 14-17, (2006)
  • [63] Tyack D.B., Cuban L., Tinkering Toward Utopia: A Century of Public School Reform, (1995)
  • [64] Wilensky U., Connected Mathematics: Building Concrete Relationships with Mathematical Knowledge, (1993)
  • [65] Wilensky U., Paradox, programming and learning probability, Journal of Mathematical Behavior, 14, 2, pp. 231-280, (1995)
  • [66] Wilensky U., NetLogo. [Computer Software], (1999)
  • [67] Wilensky U., GasLab-an extensible modeling toolkit for exploring micro-and-macro-views of gases, Computer Modeling and Simulation in Science Education, (1999)
  • [68] Wilensky U., Statistical mechanics for secondary school: The GasLab modeling toolkit, International Journal of Computers for Mathematical Learning, 8, 1, pp. 1-41, (2003)
  • [69] Wilensky U., Complex systems and reformulating scientific disciplines: Implications for learning, analysis of social systems, and educational policy, American Educational Research Association, (2006)
  • [70] Wilensky U., Hazzard E., Longenecker S., A bale of turtles: A case study of a middle school science class studying complexity using StarLogoT, Meeting of the Spencer Foundation, (2000)
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