(Advances in Educational Technologies and Instructional Design) 1st Edition
by Mouenis Anouar Tadlaoui (Author, Editor), Mohamed Khaldi (Editor), Rommel Novaes Carvalho (Editor)
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.
