Fusion+SNA

Gerald Ardito, Micah Shippee, Jesse Lubinsky
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Abstract

Multiple models exist for understanding and predicting the adoption of technological innovations including SAMR, TPACK, and ADDIE. The authors have found these models are generally static, thus discounting the inherently iterative nature of adopting technological innovations. To address this gap, the authors have proposed a new model called Fusion+SNA which combines the dynamic nature of activity theory and diffusion of innovation research with an in-depth understanding of social networks. The authors employ the Fusion+SNA model in a case study that reported on a real attempt at an adoption of technological innovation in a K-12 context with a cohort of fifth-grade students and their teachers.
存在多种模型来理解和预测技术创新的采用,包括SAMR、TPACK和ADDIE。作者发现这些模型通常是静态的,因此忽略了采用技术创新的固有迭代性质。为了解决这一差距,作者提出了一个名为Fusion+SNA的新模型,该模型将活动理论的动态性质和创新研究的扩散与对社会网络的深入理解相结合。作者在一个案例研究中采用了Fusion+SNA模型,该案例研究报告了在K-12背景下采用技术创新的真实尝试,参与者是一群五年级学生和他们的老师。
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