Social media for e-learning of citizens in smart city
Honorata Balicka , Jerzy Balicki , Piotr Dryja , Maciej Tyszka
AbstractThe 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. A home and public space is sup-posed to be used in more efficient way. Sustainable homes and buildings can be planned. 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 some cities, too. A vision of a smart city is related to better protection of a natural environment and a more efficient use of it. Citizens expect an efficient and sustainable transportation in livable city and also better urban planning . To present some solutions on above issues, this paper outlines the metho-dology 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, an advanced meta-heuristics are introduced with particular emphasis on genetic programming, artificial neural networks, neuro-evolution algorithms, support vector machines, and some collective intelligence algorithms. Finally, cloud ser-vices are discussed regarding a smart city management and training.
|Publication size in sheets||0.55|
|Book||The 10th Jubilee Scientific Conference – InfoGlob 2018, SHS Web of Conferences, vol. 57, 2018|
|Keywords in Polish||Media społecznościowe, e-learning, inteligentne miasto|
|Keywords in English||social media, e-learning, smart city|
|Abstract in Polish||W pracy przedstawiono najważniejsze trendy związane z zastosowaniem mediów społecznościowych oraz zdalnego nauczania w inteligentnych miastach. Szczególny nacisk położono na wykorzystanie wybranych metod uczenia maszynowego do kształcenia mieszkańców.|
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