| 書目名稱 | Computational Intelligence for Technology Enhanced Learning | | 編輯 | Fatos Xhafa,Santi Caballé,Angel Alejandro Juan Per | | 視頻video | http://file.papertrans.cn/233/232462/232462.mp4 | | 概述 | Presents recent research in Computational intelligence methods for data analysis and mining of eLearning activities | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | .E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments...The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others...Academics, scientists, software developers, teachers and tutors and | | 出版日期 | Book 2010 | | 關(guān)鍵詞 | Learning management system; Web; artificial intelligence; behavior; computational intelligence; data anal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-11224-9 | | isbn_softcover | 978-3-642-26250-0 | | isbn_ebook | 978-3-642-11224-9Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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