Student perception of smart campus: A case study of Czech Republic and Thailand
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F18%3A00322417" target="_blank" >RIV/68407700:21260/18:00322417 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP.2018.8402669" target="_blank" >http://dx.doi.org/10.1109/SCSP.2018.8402669</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2018.8402669" target="_blank" >10.1109/SCSP.2018.8402669</a>
Alternative languages
Result language
angličtina
Original language name
Student perception of smart campus: A case study of Czech Republic and Thailand
Original language description
The topic of Smart Cities is nowadays very broadly discussed. In order to be able to move beyond theory and make some practical progress, the concept of building blocks shall be adopted. In this paper, we address one particular building block - Smart Campus - and try to understand its key features. University is typically a part of most big cities and forms a unique environment. Smart city theory clearly states that improving the quality of life of particular citizens shall be the main objective. Even though a university has also different stakeholders, students form a homogenous group with often common objectives. The objective of this paper is to propose a method to learn about student preferences and perception of different smart cities with respect to university campuses. For this reason, design of a survey which can be used by different universities to learn about the expectations of the end users - students - with respect to the smart concept is presented and discussed. Additionally, results of two pilot evaluations are presented. On purpose, two universities with rather different background and different cultural background were selected: Czech Technical University in Prague (Czech Republic) and Thammasat University in Thailand. A pilot survey was executed and the analysis of the results using basic econometric methods, inferential statistics and logistic regression is provided.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 Smart City Symposium Prague
ISBN
978-1-5386-5017-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
May 24, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000443451800024