Trending Bestseller

AI Injected e-Learning

The Future of Online Education

No reviews yet Write a Review
Hardback
06 November 2017
RRP: $251.90
$248.12
Ships in 3-5 business days

Delivery estimate

Hurry up! Current stock:

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.

You Can Find This Title In

    Product Details
    ISBN-13
    9783319679273
    Author
    Matthew Montebello
    Publisher
    Springer Nature B.V.
    Published
    06 November 2017
    Format
    Hardback

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $251.90
    $248.12
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    AI Injected e-Learning

    RRP: $251.90
    $248.12

    Description

    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.

    You Can Find This Title In

      This Title Is Categorised As