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Cited by 345

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Participatory Simulations: Building Collaborative Understanding Through Immersive Dynamic Modeling

Open access
Colella, Vanessa·2000·Journal of the Learning Sciences

Abstract

This article explores a new way to help people understand complex, dynamic systems. Participatory simulations plunge learners into life-sized, computer-supported simulations, creating new paths to scientific understanding. By wearing small, communicating computers called Thinking Tags, students are transformed into players in a large-scale microworld. Like classic microworlds, participatory simulations create a scenario, mediated by a set of underlying rules, that enables inquiry and experimentation. In addition, these new activities allow students to "dive into" a learning environment and directly engage with the complex system at hand. This article describes and analyzes a set of participatory simulations that were conducted with a group of high school biology students. The students' experiences are tracked from their initial encounter with an immersive simulation through their exploration of the system and final description of its underlying rules. The article explores the educational potential of participatory simulations. The results of this pilot study suggest an opportunity to further investigate the role that personal experience can play in developing inquiry skills and scientific understanding.

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Metadata

Authors
Colella, V.
Venue
Journal of the Learning Sciences
Published
2000-10
Volume
9
Issue
4
Pages
471-500
ISSN
  • 1050-8406 (ISSN-L)
  • 1532-7809
OpenAlex
W2013951592
Cited by
345
References
74
FWCI
39.07
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Participatory Simulations: Building Collaborative Understanding Through Immersive Dynamic Modeling. https://app.cochat.ai/papers/10.1207/s15327809jls0904_4
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Colella, V. (2000). Participatory Simulations: Building Collaborative Understanding Through Immersive Dynamic Modeling. Journal of the Learning Sciences. https://doi.org/10.1207/s15327809jls0904_4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.