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From “Lab Rats” to “Mad Scientists”

Cultivating Agentic Learning Through Student-Led Simulation Redesign

Datos Bibliográficos

ID12377625
AutoresSummer Forester (0000-0002-0105-7856, Carleton College, autor de correspondencia), Janel Jett (0000-0002-0484-2948, University of Missouri), Bjorn Holtey
Año2024
Volumen57
Número3
Páginas440-446
Fecha de publicación2024-01-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPS Political Science & Politics (JOURNAL)
Identificadores de la revistaISSN: 1049-0965 • E-ISSN: 1537-5935
EditorialCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1049096523001142
OpenAlexW4390789753
IdiomaEN
Referencias citadas24

Simulations are increasingly prominent in classrooms, and research shows that such activities provide an array of benefits. In general, simulations tend to situate students as “lab rats” (Asal 2005) who get to discuss the experiment. We call for bringing students into a simulation not as lab rats but instead as “mad scientists.” We specifically propose using a simulation’s debriefing step as an opportunity for students to imagine how they might revise the simulation that they experienced and to defend their revisions using concepts from class. We argue that such student-led revisions cultivate agentic engagement , a form of engagement in which students recognize themselves as co-constructors of knowledge with and for their peers. To test this notion, we modified the “Isle of Ted” with an expanded post-simulation debriefing. We found that our approach cultivated student engagement and buy-in, required students to think of concepts dynamically, and was relatively simple to implement. Our study contributes to the literature on simulations as effective and engaging classroom tools, and it also emphasizes the potential for simulations to spark agentic learning

Class (philosophy · Debriefing · Engineering ethics · Mathematics education · Pedagogy · SPARK (programming language · Student engagement · Test (biology · Computer Science · Engineering · Innovative Teaching Methodologies in Social Sciences · Psychology · Simulation-Based Education in Healthcare · Social Psychology · Wikis in Education and Collaboration · Artificial Intelligence

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