Call for paper - Vol.12, n.2, 2016 (May)

BIG DATA, COGNITIVE COMPUTING, AND INNOVATIVE TEACHING MODELS

Guest Editors

Paolo Maresca, Federico II University of Naples, Italy
Mauro Coccoli, University of Genoa, Italy

 

Important dates
March, 15th 2016 Initial manuscripts due
April 25th 2016 Notification and Review Comments
May, 10th 2016 Camera Ready manuscript due
May, 2016 Special Issue published

Due to advancements in electronics and the modern technologies, the ever-growing computing power, miniaturization capabilities, innovation in networking and network infrastructures, people, computers, and things are connected each other like never before. This causes a huge amount of data and information to be created and spread at high speed and this happens in novel settings with less and less boundaries. This results in the need of new professional capabilities for analysis and management of such data. As a consequence, this should have a dramatic impact on teaching too, which can strongly benefit from such innovations but must adopt new methodologies and techniques. In this respect, we consider new issues, which have emerged recently and that are gaining consensus in the scientific community and that we expect will have a prominent role in the very next future, such as: (i) the availability of big open data coming from software applications and sensors, coupled with the ability to effectively manage them by means of suited techniques, analysis tools, methodologies, and storage systems; (ii) the diffusion of systems based on cognitive computing principles, which can interact with humans in an innovative way, fostering collaboration among people and machines and the adoption of innovative decision strategies as well as personalized support systems for many fields of application, ranging from education to health.

Topics of interest include but are not limited to:
  • Big data
  • Open data
  • Technology enhanced learning
  • Mobile learning
  • Big data management, platforms and analytics
  • Data-driven innovation
  • Smart cities
  • Smart university
  • Cognitive computing
  • Artificial intelligence
  • Cloud computing applications and services
  • Database systems


      All submitted papers will be subject to a selection mechanism based on a double blind review.

      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 2015 has published its eleventh volume, consisting of three numbers (their output is four months). Je-LKS is indexed, among other things, on AACE-EdITLib, Scopus, Elsevier, DOAJ, IET Inspec, CiteFactor and in 2015 reached a h-index of 15 (Publish or Perish based on Google Scholar database).