Details
E-Learning Systems
Intelligent Techniques for PersonalizationIntelligent Systems Reference Library, Band 112
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96,29 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 19.07.2016 |
| ISBN/EAN: | 9783319411637 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge.<br></p>
<p>A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph.<br></p>
<p>Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.</p><p></p>
<p>The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.</p>
<p> </p>
<p> </p>
<p>A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph.<br></p>
<p>Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.</p><p></p>
<p>The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.</p>
<p> </p>
<p> </p>
Part I Preliminaries.- Part II E-Learning Systems Personalization.- Part III Semantic Web Technologies in E-Learning.- Part IV Case Study: Design and Implementation of Tutoring System.- Part V Evaluation and Discussion.
<p>This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge.</p>
<p>A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph.</p>
<p>Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.<br></p>The monograph is directed to, students and researchers interested in the e-learning and personalization techniques. <p> </p>
<p> </p>
<p>A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph.</p>
<p>Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.<br></p>The monograph is directed to, students and researchers interested in the e-learning and personalization techniques. <p> </p>
<p> </p>
Provides a comprehensive research review of intelligent techniques for personalization of e-learning systems Examines the incorporation of a recommender system based on collaborative tagging techniques in a tutoring system Presents a new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system Observes the explicit conceptualization of system components in a form of ontology facilitates knowledge sharing, knowledge reuse, communication and collaboration and construction of knowledge rich and intensive systems Includes supplementary material: sn.pub/extras
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