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Teaching U.S. Constitutional Design: The Case of the "Genovian Revolution".

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Title: Teaching U.S. Constitutional Design: The Case of the "Genovian Revolution".
Authors: Anson, Ian G.1 iganson@umbc.edu
Source: Journal of Political Science Education. Jan-Mar2025, Vol. 21 Issue 1, p143-162. 20p.
Subject Terms: *Simulated environment (Teaching method), *Teaching, *Active learning, *Classroom activities, *Role playing, Constitutional conventions
Company/Entity: United States. Constitution
Abstract: In the modern American politics classroom, ideological and partisan conflict have the capacity to interfere with a healthy classroom environment. This problem is increasingly apparent when students engage questions at the heart of U.S. Constitutional design. By asking students to inhabit fictional roles with preferences and attitudes that may differ from their own, classroom simulation activities present a potential solution to this issue. In the present study I introduce a two-week constitutional convention simulation that centers on the fictional Principality of Genovia. Working in groups, students assume roles within various segments of Genovian society who seek democratic representation following the sudden abdication of their autocratic prince. The simulation is designed to foreshadow key concepts in American government and politics. It does so in a way that allows for vociferous debate and conflict while sidestepping students' preexisting ideologies and party attachments. It also provides a collaborative, active learning environment that fosters healthy classroom dynamics and encourages later collaboration. In a pre-post survey instrument, I test the effectiveness of the Genovian simulation in fostering key learning outcomes and enhancing the student experience vis-a-vis several other classroom modules, finding that the Genovian exercise is beneficial to students on several dimensions. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Political Science Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: In the modern American politics classroom, ideological and partisan conflict have the capacity to interfere with a healthy classroom environment. This problem is increasingly apparent when students engage questions at the heart of U.S. Constitutional design. By asking students to inhabit fictional roles with preferences and attitudes that may differ from their own, classroom simulation activities present a potential solution to this issue. In the present study I introduce a two-week constitutional convention simulation that centers on the fictional Principality of Genovia. Working in groups, students assume roles within various segments of Genovian society who seek democratic representation following the sudden abdication of their autocratic prince. The simulation is designed to foreshadow key concepts in American government and politics. It does so in a way that allows for vociferous debate and conflict while sidestepping students' preexisting ideologies and party attachments. It also provides a collaborative, active learning environment that fosters healthy classroom dynamics and encourages later collaboration. In a pre-post survey instrument, I test the effectiveness of the Genovian simulation in fostering key learning outcomes and enhancing the student experience vis-a-vis several other classroom modules, finding that the Genovian exercise is beneficial to students on several dimensions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Political Science Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jan-Mar2025
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