Rawad K M Hammad (7 results)
- Softcover
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- Softcover
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- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Developing an Adaptive and Personalized e-Learning Environment | A New Way to Learning Innovation | Rawad K.M. Hammad | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659238697 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mai…l[at]preigu[dot]de | Anbieter: preigu.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hammad Rawad K.M.Rawad Hammad Hammad is the director of eLearning Center at the Islamic Unviersity of Gaza and part-time lecturer at Information Technology College as well. Mr.…Hammad obtained his master degree from Goldsmiths Univer.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to the diversity of e-learning usage in different disciplines (practical or theoretical, lifelong learning, formal vs informal education, etc) there are different and multipurpose platforms available in the market and in the educatio…nal sector. Personalization and Adaptation techniques are the most new factors that give e-learning environments effectiveness and efficiency. The main goal of this research is to help the academic institutions achieving their learning objectives via implementing new innovative teaching technologies in e-learning environments. To Achieving this goal, I will go through answering the main research question which is: how to personalize and adapt the learning material for each student I build a framework that constitutes mainly from two components. One is the user Model that is based on mining student data to recommend a learning path for a given student. The second component is the adaptation and personalization engine that is responsible of live adaptation for student path according to his progress in the course. Then, I implemented the framework on the Moodle open-source virtual learning environment.
