Skip to main content
SpringerLink
Log in
Book cover

Software Data Engineering for Network eLearning Environments

Analytics and Awareness Learning Services

  • Book
  • © 2018

Overview

Editors:
  1. Santi Caballé

    1. Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jordi Conesa

    1. Faculty of Computer Science, Multimedia and Telecommunications, eHealth Center Universitat Oberta de Catalunya, Barcelona, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Predictive Analytics: Another Vision of the Learning Process

    • David Bañeres, Montse Serra
    Pages 1-25

  3. A Procedural Learning and Institutional Analytics Framework

    • Alexander Amigud, Thanasis Daradoumis, Joan Arnedo-Moreno, Ana-Elena Guerrero-Roldan
    Pages 27-46

  4. Engagement Analytics: A Microlevel Approach to Measure and Visualize Student Engagement

    • Isuru Balasooriya, Enric Mor, M. Elena Rodríguez
    Pages 47-66

  5. Learning Analytics in Mobile Applications Based on Multimodal Interaction

    • José Miguel Mota, Iván Ruiz-Rube, Juan Manuel Dodero, Tatiana Person, Inmaculada Arnedillo-Sánchez
    Pages 67-92

  6. Increasing the Role of Data Analytics in m-Learning Conversational Applications

    • David Griol, Zoraida Callejas
    Pages 93-113

  7. Enhancing Virtual Learning Spaces: The Impact of the Gaming Analytics

    • Anastasios Karakostas, Anastasios Maronidis, Dimitrios Ververidis, Efstathios Nikolaidis, Anastasios Papazoglou Chalikias, Spiros Nikolopoulos et al.
    Pages 115-137

  8. Advice for Action with Automatic Feedback Systems

    • Denise Whitelock
    Pages 139-160

  9. Towards Full Engagement for Open Online Education. A Practical Experience from MicroMasters at edX

    • Rocael Hernández Rizzardini, Hector R. Amado-Salvatierra
    Pages 161-177

  10. A Data Mining Approach to Identify the Factors Affecting the Academic Success of Tertiary Students in Sri Lanka

    • K. T. Sanvitha Kasthuriarachchi, S. R. Liyanage, Chintan M. Bhatt
    Pages 179-197

  11. Evaluating the Acceptance of e-Learning Systems via Subjective and Objective Data Analysis

    • Imed Bouchrika, Nouzha Harrati, Zohra Mahfouf, Noureddine Gasmallah
    Pages 199-219

  12. Back Matter

    Pages 221-228
    Download chapter PDF
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, Spain

    Santi Caballé

  • Faculty of Computer Science, Multimedia and Telecommunications, eHealth Center Universitat Oberta de Catalunya, Barcelona, Spain

    Jordi Conesa

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

  • DOI: https://doi.org/10.1007/978-3-319-68318-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Softcover ISBN: 978-3-319-68317-1Published: 10 February 2018

  • eBook ISBN: 978-3-319-68318-8Published: 09 February 2018

  • 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

Publish with us

Policies and ethics

Back to top

Search

Navigation