MaterialSim
MaterialSim Papers
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Maroulis, S., Bakshy, E., Gomez, L. & Wilensky, U. (2014). Modeling the Transition to Public School Choice. Journal of Artificial Societies and Social Simulation.
Blikstein, P., & Wilensky, U. (2010). MaterialSim: A constructionist agent-based modeling approach to engineering education. In M. J. Jacobson & P. Reimann, (Eds.), Designs for learning environments of the future: International perspectives from the learning sciences. New York: Springer.
Holbert, N., Penney, L., & Wilensky, U. (2010). Bringing Constructionism to Action Gameplay. In J. Clayson & I. Kalas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France, Aug 10-14.
Wilensky, U., & Novak, M. (2010). Understanding evolution as an emergent process: learning with agent-based models of evolutionary dynamics. In R.S. Taylor & M. Ferrari (Eds.), Epistemology and Science Education: Understanding the Evolution vs. Intelligent Design Controversy. New York: Routledge.
Blikstein, P., & Wilensky, U. (2009). An atom is known by the company it keeps: A constructionist learning environment for materials science using multi-agent simulation. International Journal of Computers for Mathematical Learning, 14(1), 81-119.
Blikstein, P., & Wilensky, U. (2008). Implementing multi-agent modeling in the classroom: Lessons from empirical studies in undergraduate engineering education. In G. Kanselaar, J. van Merriënboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 266-273). Utrecht, The Netherlands: ISLS.
Wilkerson-Jerde, M., Sengupta, P., & Wilensky, U. (2008). Perceptual supports for sense-making: A case study using multi-agent based computational learning environments. In G. Kanselaar, J. van Merriënboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the Eighth International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 151-152). Utrecht, The Netherlands: ISLS.
Blikstein, P., & Wilensky, U. (2007). Bifocal modeling: a framework for combining computer modeling, robotics and real-world sensing. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, April 9-13.
Wilensky, U., & Centola, D. (2007). Simulated evolution: Facilitating students' understanding of the multiple levels of fitness through multi-agent modeling. Paper presented at the Evolution Challenges Conference. Phoenix, AZ. November 3, 2007.
Blikstein, P., Stair, K., & Wilensky, U. (2006). On-screen and off-screen: do they make a marriage? A case study of the implementation of computer simulation in hands-on materials science laboratory experiments. Annual Conference of the American Society for Engineering Education.
Blikstein, P. & Wilensky, U. (2006). A Case Study Of Multi-Agent-Based Simulation In Undergraduate Materials Science Education. Annual Conference of the American Society for Engineering Education.
Blikstein, P. & Wilensky, U. (2006). From inert to generative modeling: case studies of Multi-Agent-Based Simulation in Undergraduate Engineering educatio. The annual meeting of the American Educational Research Association.
Blikstein, P. & Wilensky, U. (2005). Less is More: Agent-Based Simulation as a Powerful Learning Tool in Materials Science. Submitted to the IV International Conference on Autonomous Agents and Multiagent Systems. Utrecht, Netherlands.
Blikstein, P. & Wilensky, U. (2004). MaterialSim: An agent-based simulation toolkit for Materials Science learning. (PDF, 1.5 MB) Proceedings of the International Conference on Engineering Education. Gainesville, Florida.
Blikstein, P., & Tschiptschin, A. P. (1999). Monte Carlo simulation of grain growth. (PDF, 0.3 MB) Materials Research, São Carlos, v. 2, n. 3, p. 133-138.
