Teaching the Modeling of Human-Environment Systems: Acknowledging Complexity with an Agent-Based Model.

ABSTRACT: Agent-based modeling is a promising tool for familiarizing students with complex systems as well as programming skills. Human-environment systems, for instance, entail complex interdependencies that need to be considered when modeling these systems. This complexity is often neglected in teaching modeling approaches. For a heterogeneous group of master's students at a German university, we pre-built an agent-based model. In class, this was used to teach modeling impacts of land use policies and markets on ecosystem services. As part of the course, the students had to perform small research projects with the model in groups of two. This study aims to evaluate how well students could deal with the complexity involved in the model based on their group work outcomes. Chosen indicators were, e.g

SUBMITTER: Haensel M 

PROVIDER: S-EPMC9842197 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature