Bifocal Modeling: A Study on the Learning Outcomes of Comparing Physical and Computational Models Linked in Real Time

摘要

Computer 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 employ multi-agent simulation. However, most simulations are 'on-screen', without connection to the physical world. Therefore, real-time model validation is challenging with extant modeling platforms. I have 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. In this paper, I 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.