Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/2213
Title: Learning Innovation Diffusion as Complex Adaptive Systems through Model Building, Simulation, Game Play and Reflections
Authors: Huang, Junsong
Kapur, Manu
Issue Date: Jul-2012
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Huang, J. & Kapur, M. (2012). Learning Innovation Diffusion as Complex Adaptive Systems through Model Building, Simulation, Game Play and Reflections. In van Aalst, J., Thompson, K., Jacobson, M. J., & Reimann, P. (Eds.), The Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) – Volume 1, Full Papers (pp. 259-266). Sydney, NSW, AUSTRALIA: International Society of the Learning Sciences.
Abstract: To effectively foster innovation diffusion, school leaders need to learn innovation diffusion as Complex Adaptive Systems (CAS). In this study, two school leaders formed a dyad to learn both the knowledge about innovation diffusion and the knowledge in fostering innovation diffusion. Agent-based model building, model simulation, game play of a simulation game and reflections were designed as learning activities in this study. In the learning process, the learners developed the following understanding in innovation diffusion: teachers' adoption decisions are based on limited rationality and local information; teachers have nonlinear influence on each other through social networks; teachers are heterogonous agents; and diffusion is a process of emergence. The learners also learnt to leverage on social networks to foster effective innovation diffusion. While agent-based model building faces challenges for learning CAS in the social science domain, this study shows that engaging learners in reflection activities helps to overcome the challenges.
URI: https://doi.dx.org/10.22318/icls2012.1.259
https://repository.isls.org//handle/1/2213
Appears in Collections:ICLS 2012

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