Issue |
SHS Web Conf.
Volume 57, 2018
The 10th Jubilee Scientific Conference – InfoGlob 2018
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 11 | |
Section | Sustainable Development and Socio-Economic Development | |
DOI | https://doi.org/10.1051/shsconf/20185701002 | |
Published online | 26 November 2018 |
Social media for e-learning of citizens in smart city
1
Warsaw University of Technology, Faculty of Mathematics and Information Sciences, 75 Koszykowa St., 00-662 Warsaw, Poland
2
Maritime University in Gdynia, Faculty of Management and Commodity, 81-87 Morska St., 81-225 Gdynia, Poland
3
Gdańsk University of Technology, Faculty of Electronics, Telecommunication and Informatics, 11/12 Narutowicza St., 82-230 Gdańsk, Poland
* Corresponding author: J.Balicki@mini.pw.edu.pl
The rapid development of social media can be applied for citizens’ e-learning in a smart city. Big cities have to cope with several open issues like a growing population or a traffic congestion. Especially, a home and public space is supposed to be used in more efficient way. Sustainable homes and buildings can be planned with using some modern techniques. Even currently, there is a huge problem with a lack of key resources like water and energy. So, an efficient management of resources is strongly required. What is more, a global warming and carbon emissions are considered as some critical factors for living conditions in many cities, too. A vision of a smart city is related to a better protection of a natural environment and a more efficient use of it. Moreover, citizens expect an efficient and sustainable transportation in livable city. To present some solutions on above issues, this paper outlines the methodology of using social media to provide necessary knowledge by citizenship training systems. In particular, some selected e-learning applications have been characterized. They are related to pedagogical agents in e-learning. In addition, some advanced meta-heuristics have been proposed with particular emphasis on genetic programming, artificial neural networks, neuro-evolution algorithms, support vector machines, and some collective intelligence algorithms. Finally, cloud services are discussed regarding a smart city management and training.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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