רעיונות מחפשים תלמידי מחקר
Cross-domain learning about complex systems
The project leverages modeling technology and students’ everyday reasoning to promote deep learning of systems in a variety of domains (e.g. science, social studies). We employ participatory simulations and agent-based models to help students explore key concepts related to systems within an approach that encompasses both domain-specific and domain-general principles. We approach domain-specific content, which is learned in junior high school through a common perspective and activity. The common perspective is complex systems, using an agent-based approach, which highlights micro-to-macro reasoning about parallel actions and interactions within a system, and the analysis of temporal and spatial patterns of self-organization and evolution. The common activity involves the supported use of computer models and participatory simulations as part of the classroom setting to enable exploration of the target phenomena in both individual and collaborative settings. The learning supports are based in part upon previous research (Levy & Wilensky, accepted) into students’ strengths in reasoning about everyday complex systems.
Listening to Complexity
[ with Orly Lahav, Tel-Aviv University ]
The project is geared at creating sonified simulations of phenomena in science, with the goal of supporting blind students' learning. The first round of testing involved a Connected Chemistry (Levy, Novak & Wilensky, 2006) activity on the topic of gases and kinetic molecular theory.