Monitoring And Assessment In Online Collaborative Environments Emergent Computational Technologies For E Learning Support
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Monitoring and Assessment in Online Collaborative Environments: Emergent Computational Technologies for E-Learning Support
"The book provides researchers and developers of online collaborative systems with approaches for effective and efficient means that would assist e-learning students and teachers with precise and relevant information regarding the ongoing online learning activity at both individual and group levels"--Provided by publisher.
Learning in the Synergy of Multiple Disciplines
Author: Ulrike Cress
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-09-15
This book constitutes the refereed proceedings of the 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, held in Nice, France in September/October 2009. The 35 revised full papers, 17 short papers, and 35 posters presented were carefully reviewed and selected from 136 paper submissions and 22 poster submissions. The papers are organized in topical sections on adaptation and personalization, interoperability, semantic Web, Web 2.0., data mining and social networks, collaboration and social knowledge construction, learning communities and communities of practice, learning contexts, problem and project-based learning, inquiry, learning, learning design, motivation, engagement, learning games, and human factors and evaluation.
Web Data Mining and the Development of Knowledge-Based Decision Support Systems
Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.