Includes bibliographical references (pages 145-156)
Contents:
Student modeling for personalized education : a review of the literature -- Fuzzy logic in student modeling -- A novel hybrid student model for personalized education -- Evaluation -- Conclusions and discussion.
Summary:
This book aims to provide important information about adaptivity in computer-based and/or web-based educational systems. Fuzzy logic is used to automatically model the learning or forgetting process of a student. The presented novel student model is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress. It maximizes the effectiveness of learning and contributes, significantly, to the adaptation of the learning process to the learning pace of each individual learner. Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.
Series:
Intelligent systems reference library ; volume 78.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.