Neuerscheinungen 2016Stand: 2020-02-01 |
Schnellsuche
ISBN/Stichwort/Autor
|
Herderstraße 10 10625 Berlin Tel.: 030 315 714 16 Fax 030 315 714 14 info@buchspektrum.de |
Mirjana Ivanovic, Lakhmi C. Jain
(Beteiligte)
E-Learning Paradigms and Applications
Agent-based Approach
Herausgegeben von Ivanovic, Mirjana; Jain, Lakhmi C.
Softcover reprint of the original 1st ed. 2014. 2016. xvii, 273 S. 97 SW-Abb. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; SPRINGER BERLIN HEIDELBERG 2016
ISBN: 3-662-50946-6 (3662509466)
Neue ISBN: 978-3-662-50946-3 (9783662509463)
Preis und Lieferzeit: Bitte klicken
This book presents the state-of-the-art of e-learning and tutoring systems, and discusses their capabilities and benefits that stem from integrating software agents. It includes various case studies to validate the usefulness of the presented paradigms.
Teaching and learning paradigms have attracted increased attention especially in the last decade. Immense developments of different ICT technologies and services have paved the way for alternative but effective approaches in educational processes.
Many concepts of the agent technology, such as intelligence, autonomy and cooperation, have had a direct positive impact on many of the requests imposed on modern e-learning systems and educational processes.
This book presents the state-of-the-art of e-learning and tutoring systems and discusses their capabilities and benefits that stem from integrating software agents.
We hope that the presented work will be of a great use to our colleagues and researchers interested in the e-learning and agent technology.
Robo Newbie: A Framework for Experiments with Simulated Humanoid Robots.- Designing Intelligent Agent in Multilevel Game-based Modules for E-Learning Computer Science courses.- E-Learning and the Process of Studying in Virtual Contexts.- Inter-university Virtual Learning Environment.- An Agent based E-learning Framework for Grid Environment.- Determining the Usability Effect of Pedagogical Interface Agents on Adult Computer Literacy Training.- MASECO a Multi-Agent System for Evaluation and Classification of OERs and OCW Based on Quality Criteria.
From the reviews:
"The primary focus of this book illustrates the best examples of current research on learning environments that utilize software agents to enhance the learning experience. ... I would recommend this book for educational practitioners working with technology and those looking to see what is occurring at the cutting edge of the teaching/technology environment." (S. M. Godwin, Computing Reviews, April, 2014)