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Books > Social sciences > Education > Careers guidance > Industrial or vocational training
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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems - Emerging Research and Opportunities (Hardcover)
Loot Price: R4,532
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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems - Emerging Research and Opportunities (Hardcover)
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Teachers use e-learning systems to develop course notes and
web-based activities to communicate with learners on one side and
monitor and classify their progress on the other. Learners use it
for learning, communication, and collaboration. Adaptive e-learning
systems often employ learner models, and the behavior of an
adaptive system varies depending on the data from the learner model
and the learner's profile. Without knowing anything about the
learner who uses the system, a system would behave in exactly the
same way for all learners. Bayesian Networks for Managing Learner
Models in Adaptive Hypermedia Systems: Emerging Research and
Opportunities is a collection of research on the use of Bayesian
networks and methods as a probabilistic formalism for the
management of the learner model in adaptive hypermedia. It
specifically discusses comparative studies, transformation rules,
and case diagrams that support all phases of the learner model and
the use of Bayesian networks and multi-entity Bayesian networks to
manage dynamic aspects of this model. While highlighting topics
such as developing the learner model, learning management systems,
and modeling techniques, this book is ideally designed for
instructional designers, course administrators, educators,
researchers, and professionals.
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