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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th-cmuir.6653943832-466542018-04-25T07:23:22Z Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure Marutpong Chailangka Arnan Sipitakiat Paulo Blikstein Agricultural and Biological Sciences © 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. 2018-04-25T06:59:03Z 2018-04-25T06:59:03Z 2017-06-27 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/6653943832/46654 |
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Agricultural and Biological Sciences Marutpong Chailangka Arnan Sipitakiat Paulo Blikstein Designing a Physical Computing toolkit to utilize miniature computers: A case study of Selective Exposure |
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© 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 |
Marutpong Chailangka Arnan Sipitakiat Paulo Blikstein |
author_facet |
Marutpong Chailangka Arnan Sipitakiat Paulo Blikstein |
author_sort |
Marutpong Chailangka |
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 |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026295420&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46654 |
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