AI Injected e-Learning

The Future of Online Education

  • Matthew Montebello

Part of the Studies in Computational Intelligence book series (SCI, volume 745)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Matthew Montebello
    Pages 1-4
  3. Matthew Montebello
    Pages 5-14
  4. Matthew Montebello
    Pages 15-25
  5. Matthew Montebello
    Pages 27-37
  6. Matthew Montebello
    Pages 51-65
  7. Matthew Montebello
    Pages 67-72
  8. Back Matter
    Pages 73-86

About this book

Introduction

This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics.

Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues.

This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.

Keywords

Machine Learning Techniques Crowdsourcing for online education Intelligent User Profiling e-Learning customization Personal Learning Environment Learning Analytics Personal Learning Portfolio Personal Learning Network

Authors and affiliations

  • Matthew Montebello
    • 1
  1. 1.Department of Artificial IntelligenceUniversity of MaltaMsidaMalta

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67928-0
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67927-3
  • Online ISBN 978-3-319-67928-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book