E-Learning Systems
Springer International Publishing (Verlag)
978-3-319-82284-6 (ISBN)
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.
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.
Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.
The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.
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.
"This is a collection of chapters that link together to form a comprehensive examination of how to personalize an e-learning experience. There are five parts; each part is self-contained and leads the reader onto the next logical topic. ... it should be important reading for those involved in advanced e-learning systems. The knowledge contained in these pages demonstrates the future of education and e-learning in particular." (S. M. Godwin, Computing Reviews, November, 2016)
| Erscheinungsdatum | 05.03.2022 |
|---|---|
| Reihe/Serie | Intelligent Systems Reference Library |
| Zusatzinfo | XXIII, 294 p. 126 illus., 102 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 4861 g |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Adaptation • collaborative tagging • E-Learning • Intelligent Systems • personalization • Recommender Systems • semantic web • Tutoring System |
| ISBN-10 | 3-319-82284-5 / 3319822845 |
| ISBN-13 | 978-3-319-82284-6 / 9783319822846 |
| Zustand | Neuware |
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