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Title: Exploring local micro-climates with an open-source mesh of sensor motes
Authors: Lim, Kenneth Yang Teck
Chan, Collin
Lee, Richard
Keywords: Open-source
Raspberry Pi
Environmental science
Immersive environment
Data literacy
Geographical intuition
Issue Date: 2015
Citation: Lim, K. Y. T., Chan, C., & Lee, R. (2015). Exploring local micro-climates with an open-source mesh of sensor motes. Procedia Manufacturing, 3, 1458-1464.
Abstract: This paper describes an on-going effort in a school in Singapore to leverage a networked mesh of open-source environmental sensors to help teachers surface students’ evolving intuitions and conceptions about their local microclimate through a STEM-based curriculum. Data polled from the sensors is represented visually in an immersive environment which is a facsimilie of the school campus. Students' intuitions about geography and other disciplinary domains are – by definition – tacit, yet they are critical in shaping understanding of broader disciplinary concepts. Through surfacing such intuitions in ways which are authentic to the students, the former become boundary objects which can subsequently be dialogued about with peers and teachers.
ISSN: 2351-9789
Other Identifiers: 10.1016/j.promfg.2015.07.322
Appears in Collections:Journal Articles

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