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• W330129666 abstract "Instructional designers are under increasing pressure to enhance the pedagogical qualityand technical richness of their learning content offerings, while the task of authoring forsuch complex educational frameworks is expensive and time consuming. Personalisationand reusability of learning contents are two main factors which can be used to enhance thepedagogical impact of e-learning experiences while also optimising resources, such as theoverall cost and time of designing materials for different e-learning systems.However, personalisation services require continuous fine tuning for the different featuresthat should be used, and e-learning systems need sufficient flexibility to offer thesecontinuously required changes.The semantic modelling of adaptable learning components can highly influence the personalisationof the learning experience and enables the reusability, adaptability and maintainabilityof these components. Through the discrete modelling of these components, theflexibility and extensibility of e-learning systems will be improved as learning contentscan be separated from the adaptation logic which results in the learning content being nolonger specific to any given adaptation rule, or instructional plan.This thesis proposes an innovative semantic rule-based approach to dynamically generatepersonalised learning content utilising reusable pieces of learning content. It describes anontology-based engine that composes, at runtime, adapted learning experiences accordingto learner’s interaction with the system and learner’s characteristics. Additionally, enrichingontologies with semantic rules increases the reasoning power and helps to representadaptation decisions. This novel approach aims to improve flexibility, extensibility andreusability of systems, while offering a pedagogically effective and satisfactory learningexperience for learners. This thesis offers the theoretical models, design and implementationof an adaptive e-learning system in accordance with this approach. It also describesthe evaluation of developed personalised adaptive e-learning system (Rule-PAdel) frompedagogical and technical perspectives." @default.
• W330129666 created "2016-06-24" @default.
• W330129666 creator A5051369626 @default.
• W330129666 date "2013-12-01" @default.
• W330129666 modified "2023-09-24" @default.
• W330129666 title "Semantic Rule-based Approach for Supporting Personalised Adaptive E-Learning" @default.
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• W330129666 doi "https://doi.org/10.15123/pub.3503" @default.
• W330129666 hasPublicationYear "2013" @default.
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