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Huang, David Junsong
Multi-Level ICT integration for diffusing complex technology-mediated pedagogical innovations
2020, Toh, Yancy, Chai, Ching Sing, Huang, David Junsong, Wong, Lung Hsiang, Cheah, Yin Hong
This research seeks contemporary understanding of how we can develop teachers' Technological-Pedagogical-Content Knowledge (TPACK) when scaling pedagogical innovation to different contextual situations. Teaching with technology has long been a wicked problem as the nature of technology is ''protean'' (used in versatile ways), ''unstable'' (rapidly changing) and ''opaque'' (elusive backend mechanisms), resulting in multifarious complexities which are exacerbated when its use is scaled and situated within the broader socio-cultural context of diverse learning ecologies. Scaling innovations to new contexts is rarely a mere supplanting of what works at the seeding school to new pedagogic sites with less hospitable conditions. It entails the perpetual marshalling of resources to mitigate the enfolding tensions that can emanate from many incompatibilities at the new site. Herein lies the tensions of diffusion: the conflation between fidelity adherence and localised accommodation. The purpose of this research then is to study how teachers' three knowledge bases - technology, pedagogy and content - can be holistically developed so that the core ingredients of success at the seeding school can be sustained and not ''amputated'' at new innovation sites. Informed by complexity theory, the qualitative case study will employ the complexity constructs of ''distribution'', ''enaction'' and ''emergence'' to examine how teachers' epistemic resources are distributed during the knowledge creation process and how teachers leverage on TPACK to enact co-designed lessons or improvise their lessons in-situ. More importantly, by studying the diffusion process of Seamless Science Learning project from the seeding FutureSchool (ICT prototype school) to another non-affiliated mainstream primary school, the study aims to articulate how teachers' reified TPACK can emerge through feedback loops between components of TPACK and interaction with other actors in an ecological complex adaptive system. The study will also articulate the implications of such interaction on the translations of teachers' professional learning and the conceptual model related to challenges of nurturing readiness. It has the potential to inform policymakers on the theoretical principles of professional learning support which may culminate into ensuing successful uptake of innovations. By inter-meshing three domains: complexity theory, TPACK and scaling, this project can provide novel methodological perspective to how the inter-locking influences underpinning teacher's TPACK can be studied. Through cross-case analysis, the proposed study aims to reify both ''local divergence'' and the ''noncontextually bounded'' theoretical principles about scaling school-based intervention.
School leaders’ learning of diffusion of innovation through agent based modeling: Coupling modeling and simulation process with learners’ interaction with diffusion system
2008-10, Huang, David Junsong, Chai, Ching Sing, Chen, Der-Thanq
If school diffusion of innovation is viewed as complex adaptive process, how shall we prepare school leaders to be effective diffusion decision makers? Coming from the epistemological belief that knowledge is subjective and embodied, this paper proposes to use Agent Based Modeling (ABM) for learning by focus on learning to “do” diffusion of innovation rather than learning about diffusion of innovation. We therefore recommend to engage school leaders in iterative agent based model development process and to couple it with their interaction in real world diffusion system. With feedback from real world system used for iterative model calibration and validation, the affordances of the agent based model allow school leaders to participate, experience, appropriate, perform and therefore to learn to make effective diffusion decisions in their schools.
Multi-level ICT integration for diffusing complex technology-mediated pedagogical innovations
2017, Toh, Yancy, Chai, Ching Sing, Huang, David Junsong, Wong, Lung Hsiang, Cheah, Yin Hong