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.
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