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.
Anaerobiosis and Stemness: An evolutionary paradigm provides a context for understanding the many complexities and evolutionary features of stem cells and the clinical implications of anaerobiosis stem cells. Combining theoretical and experimental knowledge, the authors provide a broad understanding of how the absence or low concentration of oxygen can play an influential role in the maintenance and self-renewal of stem cells and stem cell differentiation. This understanding has clinical implications for the fields of regenerative medicine, cancer biology and transplantation, as well as cell engineering and cell therapy. Anaerobiosis and Stemness is an important resource for stem cell and developmental biologists alike, as well as oncologists, cancer biologists, and researchers using stem cells for regeneration. - Highlights the molecular and evolutionary features of stem cells which make them so important to all biological research - Explores methods of isolation, characterization, activation, and maintenance of stem cells - Includes models for clinical application in regenerative medicine, cancer therapy, and transplantation
Anaerobiosis and Stemness: An evolutionary paradigm provides a context for understanding the many complexities and evolutionary features of stem cells and the clinical implications of anaerobiosis stem cells. Combining theoretical and experimental knowledge, the authors provide a broad understanding of how the absence or low concentration of oxygen can play an influential role in the maintenance and self-renewal of stem cells and stem cell differentiation. This understanding has clinical implications for the fields of regenerative medicine, cancer biology and transplantation, as well as cell engineering and cell therapy. Anaerobiosis and Stemness is an important resource for stem cell and developmental biologists alike, as well as oncologists, cancer biologists, and researchers using stem cells for regeneration. - Highlights the molecular and evolutionary features of stem cells which make them so important to all biological research - Explores methods of isolation, characterization, activation, and maintenance of stem cells - Includes models for clinical application in regenerative medicine, cancer therapy, and transplantation
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.
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