Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure

Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure

© 2017 Copyright is held by the owner/author(s). Amid today's explosion of cheap and abundant tools for Physical Computing, there is a serious neglect of design for learnability. This issue is especially important when Physical Computing is not used mainly to teach engineering skills but to fos...

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Main Authors: Chailangka M., Sipitakiat A., Blikstein P.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026295420&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40356
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Institution: Chiang Mai University
id th-cmuir.6653943832-40356
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spelling th-cmuir.6653943832-403562017-09-28T04:09:02Z Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure Chailangka M. Sipitakiat A. Blikstein P. © 2017 Copyright is held by the owner/author(s). Amid today's explosion of cheap and abundant tools for Physical Computing, there is a serious neglect of design for learnability. This issue is especially important when Physical Computing is not used mainly to teach engineering skills but to foster creativity and innovation. This empirical study presents a design case study that took place while we were trying to figure out how to best integrate miniature computers like the Raspberry Pi into our "Programmable Brick" platform, the GoGo Board, with the goal of making new and complex functionalities, such as face detection and social media integration, learnable by beginners. Using the construct of Selective Exposure for our design and research, this paper presents a case study with secondary and high school students with our platform. 2017-09-28T04:09:02Z 2017-09-28T04:09:02Z Conference Proceeding 2-s2.0-85026295420 10.1145/3078072.3084339 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026295420&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40356
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2017 Copyright is held by the owner/author(s). Amid today's explosion of cheap and abundant tools for Physical Computing, there is a serious neglect of design for learnability. This issue is especially important when Physical Computing is not used mainly to teach engineering skills but to foster creativity and innovation. This empirical study presents a design case study that took place while we were trying to figure out how to best integrate miniature computers like the Raspberry Pi into our "Programmable Brick" platform, the GoGo Board, with the goal of making new and complex functionalities, such as face detection and social media integration, learnable by beginners. Using the construct of Selective Exposure for our design and research, this paper presents a case study with secondary and high school students with our platform.
format Conference Proceeding
author Chailangka M.
Sipitakiat A.
Blikstein P.
spellingShingle Chailangka M.
Sipitakiat A.
Blikstein P.
Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure
author_facet Chailangka M.
Sipitakiat A.
Blikstein P.
author_sort Chailangka M.
title Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure
title_short Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure
title_full Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure
title_fullStr Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure
title_full_unstemmed Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure
title_sort designing a physical computing toolkit to utilize miniature computers: a case study of selective exposure
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026295420&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40356
_version_ 1681421794606579712

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