Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/718
Title: Architectures for learning and successive processes of scaling
Authors: KO, Pakon
Hew, Khe Foon
Issue Date: Jul-2018
Publisher: International Society of the Learning Sciences, Inc. [ISLS].
Citation: KO, P. & Hew, K. F. (2018). Architectures for learning and successive processes of scaling. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3. London, UK: International Society of the Learning Sciences.
Abstract: This study examines how school-level learning architectures affect the scalability of an innovation by conceptualizing scalability as successive scaling-up processes from the scale-up of teacher reform capacity to the result of spread. A longitudinal qualitative two-case study was conducted at two different schools, in the context of developing self-directed learning practice. The results showed how components of learning architectures affected successive scaling-up processes. These are components to be monitored at the school level for innovation at scale.
URI: https://doi.dx.org/10.22318/cscl2018.1533
https://repository.isls.org//handle/1/718
Appears in Collections:ICLS 2018

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