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the Center for Connected Learning (CCL)
and Computer-Based Modeling
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affiliated with the departments of Learning Sciences and Computer Science
and the Northwestern Institute on Complex Systems at Northwestern University
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CCL Papers
2009     2008     2007     2006     2005     2004     2003     2002     2001     2000     1999     1998     1997 and earlier

2009

  • Abrahamson, D. (under review). Grounding Grounding - Generative Abduction Triggers Synthesis of Embodied Sense and Formal Procedures: The Case of Intensive Quantities. Paper submitted to the Journal of the Learning Sciences.

  • An, G. & Wilensky, U. (in press). From artificial life to in silico medicine: NetLogo as a means of translational knowledge representation in biomedical research. In A. Adamatzky & M. Komosinski (Eds.), Artificial Life Models in Software (2nd Edition). Berlin: Springer-Verlag.

  • Blikstein, P., & Wilensky, U. (in press). An atom is known by the company it keeps: A constructionist learning environment for Materials Science using multi-agent simulation. Paper submitted to the International Journal of Computers for Mathematical Learning.

  • Crain, M. & Wilensky, U. (book in preparation). Learning Through Computer-Based Modeling: A Guide for Teachers and Parents.

  • D.Agata, E., Baker, R., Webb, G., Horn, M., Kumar, V., Wilensky, U., & Kornhauser, D. (in progress). An Agent-Based Model (ABM) Describing The Transmission Dynamics Of Vancomycin-Resistant Enterococci (VRE).

  • Gobert, J., Buckley, B., Dwyer, L., Horwitz, P., Levy, S.T. & Wilensky, U. (in press). Examining the relationship between students' epistemologies of models and conceptual learning in three science domains: Biology, Physics, & Chemistry. International Journal of Science Education.

  • Kornhauser, D., Rand, W. & Wilensky, U. (in press). Agent-based model visualization. Journal of Artificial Societies and Social Simulation (JASSS).

  • Levy, S.T., & Wilensky, U. (2009). Crossing Levels and Representations: The Connected Chemistry (CC1) Curriculum. Journal of Science Education and Technology.

  • Levy, S.T., & Wilensky, U. (2009). Students' Learning with the Connected Chemistry (CC1) Curriculum: Navigating the Complexities of the Particulate World. Journal of Science Education and Technology.

  • Maroulis, S. & Wilensky U. (submitted). The conspiracy of organizational inertia: a complex systems perspective on school reform.

  • Novak, M., Levy, S.T., & Wilensky, U. (in press) Playing in a particle sandbox and gaining a glass box perspective: The connected chemistry curriculum. The Science Teacher.

  • Sengupta, P. & Wilensky, U. (in press). Learning electricity with NIELS: Thinking with electrons and thinking in levels. International Journal of Computers for Mathematical Learning.

  • Stonedahl, F., Wilkerson-Jerde, M. & Wilensky, U. (in preparation). Re-conceiving introductory computer science curricula through agent-based modeling.

  • Wilensky, U., & Novak, M. (under review). 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.

  • Wilensky, U., & Rand, W. (textbook in press). An introduction to agent-based modeling: Modeling natural, social and engineered complex systems with NetLogo. Cambridge, Ma., MIT Press.

  • Wilkerson-Jerde, M. (in press). Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models. International Journal of Computers for Mathematical Learning.

  • Wilkerson-Jerde, M. & Wilensky. U. (2009). Complementarity in Agent-Based and Equation-Based Models. Paper presented at the annual meeting of the American Educational Research Association, April 2009.

  • Wilkerson-Jerde, M. & Wilensky, U. (in press). Understanding proof: Tracking experts' developing understanding of an unfamiliar proof. Accepted for presentation at International Commission on Mathematical Instruction, ICMI Study 19, Proof and proving in mathematics education.

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997 and earlier

Earlier work described in my thesis (and several previous papers) forms the theoretical backdrop for this project:

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