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© 2018

Software Data Engineering for Network eLearning Environments

Analytics and Awareness Learning Services

  • Santi Caballé
  • Jordi Conesa

Benefits

  • Explores the state of the art in software tools and innovative learning strategies for providing effective and efficient solutions to the various problems and challenges currently facing eLearning from a software data engineering perspective

  • Highlights stimulating practical research from leading international experts

  • Provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners

Book

Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 11)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. David Bañeres, Montse Serra
    Pages 1-25
  3. Alexander Amigud, Thanasis Daradoumis, Joan Arnedo-Moreno, Ana-Elena Guerrero-Roldan
    Pages 27-46
  4. Isuru Balasooriya, Enric Mor, M. Elena Rodríguez
    Pages 47-66
  5. José Miguel Mota, Iván Ruiz-Rube, Juan Manuel Dodero, Tatiana Person, Inmaculada Arnedillo-Sánchez
    Pages 67-92
  6. Anastasios Karakostas, Anastasios Maronidis, Dimitrios Ververidis, Efstathios Nikolaidis, Anastasios Papazoglou Chalikias, Spiros Nikolopoulos et al.
    Pages 115-137
  7. Denise Whitelock
    Pages 139-160
  8. Rocael Hernández Rizzardini, Hector R. Amado-Salvatierra
    Pages 161-177
  9. K. T. Sanvitha Kasthuriarachchi, S. R. Liyanage, Chintan M. Bhatt
    Pages 179-197
  10. Imed Bouchrika, Nouzha Harrati, Zohra Mahfouf, Noureddine Gasmallah
    Pages 199-219
  11. Back Matter
    Pages 221-228

About this book

Introduction

This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders.

Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.

Keywords

Engineering Learning Analytics and Services Awareness Services for Learners and Teachers Analytics and Awareness Services for Group Learning Modelling Knowledge Domains, Learner Modelling Interaction Analysis Event-based Awareness Services Event Detection, Processing and Semantic Enrichment

Editors and affiliations

  • Santi Caballé
    • 1
  • Jordi Conesa
    • 2
  1. 1.Faculty of Computer Science, Multimedia and TelecommunicationsUniversitat Oberta de CatalunyaBarcelonaSpain
  2. 2.Faculty of Computer Science, Multimedia and TelecommunicationseHealth Center Universitat Oberta de CatalunyaBarcelonaSpain

Bibliographic information

  • Book Title Software Data Engineering for Network eLearning Environments
  • Book Subtitle Analytics and Awareness Learning Services
  • Editors Santi Caballé
    Jordi Conesa
  • Series Title Lecture Notes on Data Engineering and Communications Technologies
  • Series Abbreviated Title Lecture Notes on Data Engineering and Communications Technologies
  • DOI https://doi.org/10.1007/978-3-319-68318-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-319-68317-1
  • eBook ISBN 978-3-319-68318-8
  • Series ISSN 2367-4512
  • Series E-ISSN 2367-4520
  • Edition Number 1
  • Number of Pages XVII, 228
  • Number of Illustrations 8 b/w illustrations, 49 illustrations in colour
  • Topics Computational Intelligence
    Data Mining and Knowledge Discovery
  • Buy this book on publisher's site
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