Abstract

Multi-agent modeling has been successfully used in a large number of distinct scientific fields, transforming scientists ’ practice. Educational researchers have come to realize its potential for learning. Studies have suggested that students are able to understand concepts above their expected grade level after interacting with curricula that employs multi-agent simulation. However, most simulations are ‘on-screen’, without connection to the physical world. Real-time model validation is challenging with extant modeling platforms. Therefore, we designed a technological platform to enable students to connect computer models and sensors in real time, to validate and refine their models using real-world data. We will focus on both technical and pedagogical aspects, describing pilot studies that suggest a real-to-virtual reciprocity catalyzing further inquiry toward deeper understanding of scientific phenomena. Objectives and theoretical framework A powerful path for applying technology to improve education has been to bring the most advanced tools from research labs and adapt them for use in schools. One such well known

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