Intelligent Distributed Computing III pp 175-185 | Cite as
WELSA: An Intelligent and Adaptive Web-Based Educational System
Conference paper
Abstract
This paper deals with an intelligent application in the e-learning area (WELSA), aimed at adapting the courses to the learning preferences of each student. The technical and pedagogical principles behind WELSA are presented, outlining the intelligent features of the system. The learner modeling and adaptation methods are also briefly introduced, together with their realization in WELSA. Finally, the platform is validated experimentally, proving its efficiency and effectiveness on the learning process, as well as the high degree of learner satisfaction with the system.
Keywords
Learning Style Constraint Satisfaction Problem Learn Management System Learning Preference Authoring Tool
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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