Authors:
Dessislava Vassileva
and
Boyan Bontchev
Affiliation:
Faculty of Mathematics and Informatics, Sofia University, Bulgaria
Keyword(s):
AHS, e-Learning, User model adaptation, Formal rules.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
Context Dependent Learning
;
e-Learning
;
e-Learning Hardware and Software
;
e-Learning Platforms
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Ubiquitous Learning
Abstract:
With last achievements in research and practical development of adaptive hypermedia systems, they start being more and more promising for e-learning adaptable to personal learner needs, style and performance. Every year there are constructed new technology enhanced platforms with adaptation engines controlling content management and delivery. A great problem with adaptation engine designs is that few of them facilitate a flexible and manageable control over adaptation processes. This paper is focussed exactly on problems with effective conceptual construction of adaptation engine, by means of formalization of our adaptation model for hypermedia learning courseware management and delivery. The article describes in brief a formal definition of both adaptive rules and adaptive process supporting the model. The approach proposed for adaptive engine’s construction follows a rule-driven approach and is consistent with that formalization. The implementation of the platform is under developm
ent and relies strongly on conceptual separation of adaptive rules from business logic. This guarantees an ability for editing adaptive rules at run time and, thus, to manage the adaptation process in a very flexible way.
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