Papers:

• Sengupta & Wilensky (In revision). Balancing Electrons & Learning Electricity: Emergence, Electric Current and Multi-Agent Based Models. Cognition & Instruction.
• Basu, S., Sengupta, P., & Biswas, G. (2014). A Scaffolding Framework to Support Learning of Emergent Phenomena Using Multi-Agent-Based Simulation Environments. Research in Science Education, 1-32.
• Brady, C., Holbert, N. R., Soylu, F., Novak, M., & Wilensky, U. (2014). Sandboxes for Model-Based Inquiry. Science Teaching and Learning with Models, Journal of Science Education and Technology (JOST) [Special Issue].
• Guo, Y., & Wilensky, U. (2014) Beesmart: a microworld for swarming behavior and for learning complex systems concepts. Proceedings of the Constructionism 2014 Conference. Vienna, Austria. August 2014.
• Horn, M.S., Brady, C., Hjorth, A., Wagh, A., & Wilensky, U. (2014). Frog Pond: A code first learning environment on natural selection and evolution. Proceedings of IDC 2014.
• Soylu, F., Brady, C., Holbert, N., Wilensky, U. (2014) The thinking hand: Embodiment of tool use, social cognition and metaphorical thinking and implications for learning design. Paper presented at the AERA Annual Meeting (SIG: Brain, Neurosciences, and Education), Philadelphia, PA: April, 2014
• Wagh, A., & Wilensky, U. (2014). Seeing patterns of change: Supporting student noticing in building models of natural selection. Proceedings of 2014 Constructionism, Vienna, Aug 19-23.
• Wilensky, U. (2014). Computational Thinking through Modeling and Simulation. Whitepaper presented at the summit on Future Directions in Computer Education. Orlando, FL. Jan 8-9, 2014.
• Wilensky, U., Brady, C., & Horn, M. (2014). Fostering Computational Literacy in Science Classrooms. Communications of the ACM. 57(8): pp 17-21.
• Wagh. A. & Wilensky, U. (2013). Leveling the playing field: Making multi-level evolutionary processes accessible through participatory simulations. Proceedings of CSCL, Madison, Wisconsin, June 15-19
• Sengupta, P., & Wilensky, U. (2012). Lowering the Learning Threshold: Multi-Agent-Based Models and Learning Electricity . In Khine, M.S., & Saleh, I.M (Eds.). Dynamic Modeling: Cognitive Tool for Scientific Inquiry. Springer, New York, NY.
• Wagh. A. & Wilensky, U. (2012). Breeding birds to learn about artificial selection: Two birds with one stone? Proceedings of ICLS, Sydney, Australia, July 2-6.
• Wagh, A. & Wilensky, U. (2012). Mechanistic Explanations of evolutionary change facilitated by agent-based models. Paper presented at AERA, Vancouver, April 13-17.
• Basu, S., Biswas, G., & Sengupta, P. (2011). Scaffolding to Support Learning of Ecology in Simulation Environments. In: Biswas, G., & Bull, S. (Eds.). Lecture Notes in Computer Science, AIED 2011 (Vol. 6738/2011, pp. 417-419).
• Blikstein, P. & Sipitakiat, A. (2011) QWERTY or the art of designing microcontrollers for children. Proceedings of the Interaction Design for Children Conference, Ann Arbor, MI.
• Dickes, A., & Sengupta, P. (2011). Learning Natural Selection in 4th Grade With Multi-Agent-Based Computational Models. In Sengupta, P. (Chair), & Hall, R. (Discussant). Models, Modeling, and Naïve Intuitive Knowledge in Science Learning. Symposium presented at the 41st Annual Meeting of the Jean Piaget Society, Berkeley, CA.
• Sengupta, P. (2011). Learning Electromagnetism with ElectroHub - A Digital Game Based on Participatory Simulations. In "Digital Games and Science Learning", Clark, D. (Org.). Invited paper session at the Annual Conference of NARST, 2011.
• Sengupta, P. (2011). Models, Modeling, and Naïve Intuitive Knowledge in Science Learning. Symposium organized at the 41st Annual Meeting of the Jean Piaget Society, Berkeley, CA.
• Sengupta, P., & Wilensky, U. (2011). Lowering the Learning Threshold: Multi-agent-Based Models and Learning Electricity. In Khine, M.S., & Saleh, I.M (Eds.). Dynamic Modeling: Cognitive Tool for Scientific Inquiry, pp 141 - 171. Springer, New York, NY.
• Wagh, A. & Wilensky, U. (2011). Context counts: Role of the context in triggering productive and unproductive pieces of knowledge about natural selection. Paper presented at Jean Piaget Society Conference, Berkeley (June 2-4, 2011).
• Wagh, A. & Wilensky, U. (2011). Giraffes don't stretch their necks anymore: Useful pieces of knowledge about natural selection. Proceedings of EpiSTEME 2011, Mumbai, Jan 4- 9.
• Wilensky, U. (2011). The Power of Agent-Based Modeling. Santa Fe Institute. (May 24, 2011).
• Wilkerson-Jerde, M. & Wilensky, U. (2011). New tools for modeling quantitative variation in complex systems: A design and preliminary classroom study. Paper presented at AERA 2011, New Orleans, LA.
• Wilkerson-Jerde, M. & Wilensky, U. (2011). Exploring Complex Scientific and Mathematical Systems: The NetLogo Agent-Based Modeling Environment and the Categorizer Interactive Gallery. Poster presented at the Cyberlearning Tools for STEM Education Conference (CyTSE), Berkeley, CA. March 8-9.
• Blikstein, P. (2010). Connecting the science classroom and tangible interfaces: the Bifocal Modeling framework. In K. Gomez, L. Lyons, & J. Radinsky (Eds.), Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences. University of Illinois at Chicago: Chicago, IL
• Blikstein, P. (2010). A New Age in Digital Tangible Interfaces for Learning. In K. Gomez, L. Lyons, & J. Radinsky (Eds.), Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences . University of Illinois at Chicago: Chicago, IL.
• Blikstein, P. & Sipitakiat, A. (2010). Technological Platform for Low-Cost Educational Robotics. First Open Hardware Summit, New York, NY. September, 2010.
• Lerner, R., Levy, S.T., & Wilensky, U. (2010). Encouraging Collaborative Constructionism: Principles Behind the Modeling Commons. In J. Clayson & I. Kalas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France, Aug 10-14.
• Sipitakiat, A. & Blikstein, P. (2010). Programmable robotics and environmental sensing for low-income populations: design principles, impact, and technology. In K. Gomez, L. Lyons, & J. Radinsky (Eds.), Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences. University of Illinois at Chicago: Chicago, IL.
• Wagh, A. & Wilensky, U. (2010). Ideas-to-think-with: Useful pieces of knowledge about natural selection. In J. Clayson & I. Kalas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France, Aug 10-14.
• Wilkerson-Jerde, M. & Wilensky, U. (2010). Restructuring change, interpreting changes: The DeltaTick modeling and analysis toolkit. In Proceedings of Constructionism 2010 (p. 97). Paris, France, Aug 10-14.