DocumentCode :
737204
Title :
Urban Data Games: Creating Smart Citizens for Smart Cities
Author :
Wolff, Annika ; Kortuem, Gerd ; Cavero, Jose
fYear :
2015
fDate :
6-9 July 2015
Firstpage :
164
Lastpage :
165
Abstract :
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.
Keywords :
Big data; Cities and towns; Context; Data visualization; Education; Games; Smart cities; data literacy; smart city; sustainability; urban data; urban innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
Conference_Location :
Hualien, Taiwan
Type :
conf
DOI :
10.1109/ICALT.2015.44
Filename :
7265294
Link To Document :
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