Category: Multilevel Computational Modeling
The authors of the 1972 book entitled The Limits to Growth set out to answer a critically important question. Can Earth sustain a human population that pursues a goal of continual economic growth? Based on a computer model they created, their answer was both guarded and cautionary: “If the present growth trends in world population, […]
Linsey Brennan is a doctoral student at Michigan State University and a researcher on the Multilevel Computational Modeling Project. Chemistry teachers Scott Hanson and Tim Muhich have used SageModeler to help students model systems and explain real-world phenomena for the past four years. According to the pair of teachers at the Battle Creek Area Math […]
Our Multilevel Computational Modeling collaborative project with Michigan State University has developed a novel theoretical framework based on a literature review of modeling, systems thinking (ST) and computational thinking (CT). The framework, which was also informed by years of work developing our SageModeler systems modeling software and researching student modeling, highlights how both ST and […]