Exploring local micro-climates with an open-source mesh of sensor motes

被引：0
|
作者：
Lim, Kenneth Y. T. [1 ]
Chan, Collin [2 ]
Lee, Richard
机构：
[1] Natl Inst Educ, 1 Nanyang Walk, Singapore 637616, Singapore
[2] Nanyang Technol Univ, Singapore 639798, Singapore
来源：
6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015 | 2015年 / 3卷
关键词：
Open-source; Raspberry Pi; Arduino; Mote; Environmental science; Immersive environment; Data literacy; Geographical intuition; Micro-climate;
D O I：
10.1016/j.promfg.2015.07.322
中图分类号：
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号：
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要：
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. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：1458 / 1464
页数：7
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