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Title: Designing Computational Models as Emergent Systems Microworlds to Support Learning of Scientific Inquiry
Emergent Systems Microworlds (ESMs) are a special kind of computational models. Design of ESMs involves a combination of two approaches in Learning Sciences, namely agent-based modelling of complex systems and constructionism. ESMs and ESM-based curricula are frameworks for designing learning environments to foster the learning of complex scientific phenomena by engaging students in authentic scientific inquiry practices. In this paper, we discuss our approach in the context of an ESM called GenEvo that we designed for the learning of molecular genetics and evolution. We further discuss how agent-based representations and constructionist design principles mediated students’ expansive learning, as students collaboratively con- structed knowledge by engaging in authentic scientific inquiry practices.
Authors:
;
Award ID(s):
1842374 1640201
Publication Date:
NSF-PAR ID:
10199202
Journal Name:
eipSTEM8
Sponsoring Org:
National Science Foundation
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