Urban Data Games: Creating smart citizens for smart cities

被引:6
|
作者
Wolff, Annika [1 ]
Kortuem, Gerd [1 ]
Cavero, Jose [1 ]
机构
[1] Open Univ, Dept Maths Comp & Technol, Milton Keynes, Bucks, England
来源
15TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2015) | 2015年
关键词
smart city; urban data; urban innovation; sustainability; data literacy;
D O I
10.1109/ICALT.2015.44
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A bottom-up approach to smart cities places citizens in an active role of contributing, analysing and interpreting data in pursuit of tackling local urban challenges and building a more sustainable future city. This vision can only be realised if citizens have sufficient data literacy skills and experience of large, complex, messy, ever expanding data sets. Schools typically focus on teaching data handling skills using small, personally collected data sets obtained through scientific experimentation, leading to a gap between what is being taught and what will be needed as big data and analytics become more prevalent. This paper proposes an approach to teaching data literacy in the context of urban innovation tasks, using an idea of Urban Data Games. These are supported by a set of training data and resources that will be used in school trials for exploring the problems people have when dealing with large data and trialling novel approaches for teaching data literacy.
引用
收藏
页码:164 / 165
页数:2
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