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Vol. 16, n.1, 2020

SMART LEARNING IN SMART CITIES

Guest Editors

Mauro Coccoli,University of Genova, Italy
Paolo Maresca
, University Federico II, Napoli, Italy

Andrea Molinari, University of Trento, Italy

Important dates
Initial manuscripts due November, 30th, 2019
Notification and Review Comments January, 7th, 2020
Camera Ready manuscript due January, 20th, 2020
Special Issue published January, 2020

Smart learning is an emerging wave in e-learning, based on the full exploitation of the newly available smart technologies and smart solutions, which relies on recent advancements in big data management capabilities, analytics, cloud architectures, artificial intelligence and cognitive computing techniques. Smart cities adopt the same set of technologies to offer advanced services to their citizens, to the aim of improving their quality of life. Consequently, when learning happens in a smart city, a new powerful educational ecosystem has to be considered, where learning management systems are seamlessly connected with a plethora of IoT devices, Web services and applications, data sources, thus interacting with the surrounding environment. Moreover, recent modifications in laws and policy, also driven by economics and market analysis, are dramatically changing learning environments and processes in the universities and, in this scenario, students are regarded as customers so that the objective is improving the quality of services to enhance their satisfaction. In this scenario, we observe that schools and universities may have a more active role, since their main task is education and this contributes to enhance the individuals’ quality of life. Nevertheless, most smart cities initiatives are addressed to cover organizational and logistic difficulties, e.g., to protect citizens from weather conditions and possible relevant damages, to efficiently manage energy, traffic and vehicle routing, to reduce pollution, to enhance safety and security. Apparently, education is not yet considered an interesting topic. To overtake this situation, in this Special Issue we want to collect experiences of education initiatives in smart cities and examples of smart universities that follow the same principles for what concerns infrastructures as well as organizational and economical aspects.

Topics of interest include but are not limited to:
  • E-learning
  • Smart cities
  • Cognitive computing in e-learning
  • Semantic Web
  • Big data
  • Analytics
  • Educational technologies
  • Machine learning
  • Artificial intelligence

Types of papers
It is possible to submit proposals in the following three sections:

  • Researches (max. 40,000 characters, spaces included);
  • Experiences (max. 30,000 characters, spaces included);
  • Studies (max. 30,000 characters, spaces included).

Language: all contributions/papers must be written in English
Author Guidelines: http://www.je-lks.org/ojs/index.php/Je-LKS_EN/about/submissions

The Journal of e-Learning and Knowledge Society (Je-LKS) (eISSN 1971-8829) is published by the Italian Society of e-Learning since 2005 and in 2018 has published its fourteenth volume, consisting of three issues. Je-LKS is indexed, among other things, on on AACE-EdITLib, Web of Science Content Expansion (Thompson Reuters) Scopus, Elsevier, DOAJ, IET Inspec, CiteFactor and in 2018 reached a h-index of 22 (Publish or Perish based on Google Scholar database), a Scopus-H Index of 12 (ranked #1 in Education - Italian Publishers) and a Scopus Quartile (2018) of Q3 overall in Education and in Computer Science Application. ANVUR Ranking: A-Class for Sector 10, 11-D1 and 11-D2.

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