Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Principles of simulation model validation, verification, and testing
Transactions of the Society for Computer Simulation International
Dynamics of complex systems
Examining technology acceptance by school teachers: a longitudinal study
Information and Management
Verification and validation of simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Emergence of learning in computer-supported, large-scale collective dynamics: a research agenda
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
Diffusion of Pedagogical Innovations in Schools --Research Design Using ABM Method
Proceedings of the 2007 conference on Supporting Learning Flow through Integrative Technologies
Revisiting and reframing use: Implications for the integration of ICT
Computers & Education
Diffusion dynamics of open source software: An agent-based computational economics (ACE) approach
Decision Support Systems
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This paper is interested in both the sustainability and scalability of diffusion of pedagogical innovations in educational contexts. We argue that the diffusion of pedagogical innovations is a complex adaptive process. Current research methods, while informative, have limitations insofar as the non-linear, adaptive, and emergent properties of complex diffusion processes are concerned. To this end, this paper proposes the use of Agent-Based Modeling (ABM) as a complementary method. Following a review of existing methodologies, we set up an imperative for ABM, describe what ABM entails, and examine its affordances and limitations in emerging the diffusion patterns by simulating the decision making processes of boundedly-rational individuals in socio-organizational networks. We further argue that ABM is particularly helpful for exploring diffusion patterns in “what if” scenarios, and for making policies that foster sustainable and scalable innovation diffusion.