Supported by an updated understanding of Online Learning Environments (OLEs) and intelligent Learning Management Systems (iLMSs), the present book aims to explore an innovative landscape, underlining the thinking and the behavior of the LMS users of a public Higher Education Institution (HEI), within the blended-learning context. From a systemic approach, which intelligently combines micro, meso and macro levels of knowledge, the FuzzyQoI model, essentially based on the fundamentals of fuzzy logic and quality of interaction (QoI) of the LMS users, is used as the main methodological option of the present book, revealing a clear opportunity to be used with any LMS Moodle. Moreover, affective-, collaborative- and hybrid-learning are discussed and proposed as future extensions in the field of OLEs. The expectation of this book is to serve as a valuable support for effectively approaching OLEs issues, integrating data analysis and modelling techniques with the identification of users’ profiles, trends and QoI in the field of online education. This array of educational developments could be used as a scaffold, revealing real learner’s educational needs and effective teaching processes.
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Born (1984) in Viseu, northern Portugal. She received the Diploma degree in Physical Education (2007), the MSc degree in Education (2012), and the PhD degree in Science Education (2013), from the Faculty of Human Kinetics (FHK) of the University of Lisbon, Portugal. She currently works as a Researcher Assistant on educational technology at the FHK.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Supported by an updated understanding of Online Learning Environments (OLEs) and intelligent Learning Management Systems (iLMSs), the present book aims to explore an innovative landscape, underlining the thinking and the behavior of the LMS users of a public Higher Education Institution (HEI), within the blended-learning context. From a systemic approach, which intelligently combines micro, meso and macro levels of knowledge, the FuzzyQoI model, essentially based on the fundamentals of fuzzy logic and quality of interaction (QoI) of the LMS users, is used as the main methodological option of the present book, revealing a clear opportunity to be used with any LMS Moodle. Moreover, affective-, collaborative- and hybrid-learning are discussed and proposed as future extensions in the field of OLEs. The expectation of this book is to serve as a valuable support for effectively approaching OLEs issues, integrating data analysis and modelling techniques with the identification of users profiles, trends and QoI in the field of online education. This array of educational developments could be used as a scaffold, revealing real learner s educational needs and effective teaching processes. 128 pp. Englisch. Seller Inventory # 9783659158582
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balula Dias SofiaBorn (1984) in Viseu, northern Portugal. She received the Diploma degree in Physical Education (2007), the MSc degree in Education (2012), and the PhD degree in Science Education (2013), from the Faculty of Human Kin. Seller Inventory # 5135796
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Supported by an updated understanding of Online Learning Environments (OLEs) and intelligent Learning Management Systems (iLMSs), the present book aims to explore an innovative landscape, underlining the thinking and the behavior of the LMS users of a public Higher Education Institution (HEI), within the blended-learning context. From a systemic approach, which intelligently combines micro, meso and macro levels of knowledge, the FuzzyQoI model, essentially based on the fundamentals of fuzzy logic and quality of interaction (QoI) of the LMS users, is used as the main methodological option of the present book, revealing a clear opportunity to be used with any LMS Moodle. Moreover, affective-, collaborative- and hybrid-learning are discussed and proposed as future extensions in the field of OLEs. The expectation of this book is to serve as a valuable support for effectively approaching OLEs issues, integrating data analysis and modelling techniques with the identification of users' profiles, trends and QoI in the field of online education. This array of educational developments could be used as a scaffold, revealing real learner's educational needs and effective teaching processes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9783659158582
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Supported by an updated understanding of Online Learning Environments (OLEs) and intelligent Learning Management Systems (iLMSs), the present book aims to explore an innovative landscape, underlining the thinking and the behavior of the LMS users of a public Higher Education Institution (HEI), within the blended-learning context. From a systemic approach, which intelligently combines micro, meso and macro levels of knowledge, the FuzzyQoI model, essentially based on the fundamentals of fuzzy logic and quality of interaction (QoI) of the LMS users, is used as the main methodological option of the present book, revealing a clear opportunity to be used with any LMS Moodle. Moreover, affective-, collaborative- and hybrid-learning are discussed and proposed as future extensions in the field of OLEs. The expectation of this book is to serve as a valuable support for effectively approaching OLEs issues, integrating data analysis and modelling techniques with the identification of users profiles, trends and QoI in the field of online education. This array of educational developments could be used as a scaffold, revealing real learner s educational needs and effective teaching processes. Seller Inventory # 9783659158582
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Taschenbuch. Condition: Neu. Towards an Intelligent Online Learning Environment | A Systemic Approach | Sofia Balula Dias | Taschenbuch | 128 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659158582 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105433678