Project Details
Description
Overview. This “Research and Service to Practice” project aims to (1) deepen our fundamental knowledge of ecosystems cognition, (2) develop innovative practices and approaches in informal learning environments to support learning about complexity and ecological systems, a critical 21st century skill, and (3) broaden participation and close opportunity gaps for under-represented groups in STEM fields learning about complex ecological systems. Ecosystems are seen as a core disciplinary idea of the life sciences, but ecosystems are complex and developing effective approaches to ecosystems cognition demands research that addresses the contribution of culture and informal learning to understanding complexity. The socio-scientific issues that all citizens must navigate increasingly demand complex systems reasoning. Numerous scholars have suggested that a bias towards simple cause-effect reasoning undermines students’ ability to grasp nonlinearities, feedback processes, and indirect relations, it may be that this reflects a particular cultural model rather than a universal bias. Over the past decade our research team has conducted a series of converging studies with Native American and European American children and adults that reveal consistent patterns of cultural differences in epistemologies for conceptualizing the natural world. The present proposal will take our work to a deeper analytic level by systematically examining the role of culture in ecological cognition and the complex systems reasoning that is intrinsic to understanding ecosystem dynamics. The project will consist of three panels of research. Panel 1 incorporates field-based experiences across diverse ecosystems to analyze markers of complex systems reasoning in everyday learning contexts. Panel 2 uses cognitive experiments to assess complexity reasoning associated with ecological agents, food webs and their disruption, ecosystem dynamics over time, and climate change. Panel 3 leverages these findin
Status | Finished |
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Effective start/end date | 9/1/17 → 8/31/22 |
Funding
- National Science Foundation (DRL-1713368)
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