Login

Caballé, Santi

Software Data Engineering for Network eLearning Environments

Caballé, Santi - Software Data Engineering for Network eLearning Environments, ebook

153,75€

Ebook, PDF with Adobe DRM
ISBN: 9783319683188
DRM Restrictions

PrintingNot allowed
Copy to clipboardNot allowed

Table of contents

1. Predictive Analytics: Another Vision of the Learning Process
David Bañeres, Montse Serra

2. A Procedural Learning and Institutional Analytics Framework
Alexander Amigud, Thanasis Daradoumis, Joan Arnedo-Moreno, Ana-Elena Guerrero-Roldan

3. Engagement Analytics: A Microlevel Approach to Measure and Visualize Student Engagement
Isuru Balasooriya, Enric Mor, M. Elena Rodríguez

4. Learning Analytics in Mobile Applications Based on Multimodal Interaction
José Miguel Mota, Iván Ruiz-Rube, Juan Manuel Dodero, Tatiana Person, Inmaculada Arnedillo-Sánchez

5. Increasing the Role of Data Analytics in m-Learning Conversational Applications
David Griol, Zoraida Callejas

6. Enhancing Virtual Learning Spaces: The Impact of the Gaming Analytics
Anastasios Karakostas, Anastasios Maronidis, Dimitrios Ververidis, Efstathios Nikolaidis, Anastasios Papazoglou Chalikias, Spiros Nikolopoulos, Ioannis Kompatsiaris

7. Advice for Action with Automatic Feedback Systems
Denise Whitelock

8. Towards Full Engagement for Open Online Education. A Practical Experience from MicroMasters at edX
Rocael Hernández Rizzardini, Hector R. Amado-Salvatierra

9. 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

10. Evaluating the Acceptance of e-Learning Systems via Subjective and Objective Data Analysis
Imed Bouchrika, Nouzha Harrati, Zohra Mahfouf, Noureddine Gasmallah

Keywords: Engineering, Computational Intelligence, Data Mining and Knowledge Discovery

Editor
 
Publisher
Springer
Publication year
2018
Language
en
Edition
1
Series
Lecture Notes on Data Engineering and Communications Technologies
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783319683188
Printed ISBN
978-3-319-68317-1

Similar titles