posted by user: ka_ti_bo || 3300 views || tracked by 5 users: [display]

EiEL 2010 : Evaluation in E-Learning

FacebookTwitterLinkedInGoogle

Link: http://elearn.teipir.gr/book_eval
 
When N/A
Where N/A
Submission Deadline Jan 31, 2010
Notification Due Mar 31, 2010
Final Version Due Jun 20, 2010
Categories    e-learning    evaluation
 

Call For Papers

Nowadays, thousands of e-learning courses are being delivered in an attempt for flexible and stimulating learning experiences. This phenomenon is expected to be escalated the following years due to the continuous increase in demand for lifelong learning. In such a demanding and changing learning environment practitioners and policy makers need proofs about the effectiveness of e-learning courses provision.



Evaluation of effectiveness in e-learning is very essential since it provides valuable feedback to tailor, redesign, improve or accept an e-learning course according the stakeholders’ needs.



There are several qualitative and quantitative methodological approaches proposed last years for the e-learning evaluation which support the measure and weight of attributes like learners’ satisfaction, quality of learning objects, suitability of learning strategies, cost benefits, and so on.



The goal of this book is to present various evaluation approaches as they have been applied in real practice. Criticism about these approaches will be made and lessons learned from their application will be given.



The audience of this book will be the community of researchers / educators / students / educational managers interested in the current trends in the evaluation approaches of e-learning.


TOPICS


Authors are invited to write chapters about the applicability of evaluation approaches in authentic e-learning environment.



Recommended topics include, but are not limited to, the following:

* State of the art in evaluation approaches
* Tools for supporting the evaluation of e-learning courses
* Evaluation approaches in computer supported collaborative learning environments
* Real world case studies and good practices
* Economic evaluation of e-Learning environments
* Tools for (semi) automatic evaluating e-learning courses
* Evaluation approaches of lifelong e-learning courses




SUBMISSION PROCEDURE and KEY DATES


Prospective authors are invited to submit chapter proposals of 200-500 words before January 31, 2010 via e-mail at book.eval@gmail.com. In their proposal, prospective authors should include:

* The title of the proposed chapter and the name and affiliations of all the authors.
* The purpose and the contents of their proposed chapter.


Authors will be notified as to whether their proposal has been accepted, and authors of accepted chapters will be sent chapter guidelines by March 31, 2010.



Authors of accepted proposals are expected to submit their full chapters by June 20, 2010. All submitted chapters will be reviewed on a double-blind review basis.
All accepted chapters (maximum 15 pages) will be double-blindly reviewed.


This book will be published by NOVA Publishers http://www.novapublishers.com

For additional information about the book, please visit: http://elearn.teipir.gr/book_eval



For any inquiries please contact

Dr Yannis Psaromiligkos at book.eval@gmail.com

Related Resources

ICSLT--EI 2025   2025 11th International Conference on e-Society, e-Learning and e-Technologies (ICSLT 2025)
INTED 2025   19th annual Technology, Education and Development Conference
ICDEL--EI 2025   2025 the 10th International Conference on Distance Education and Learning (ICDEL 2025)
IJMPICT 2024   International Journal of Managing Public Sector Information and Communication Technologies
ICSLT 2025   2025 11th International Conference on e-Society, e-Learning and e-Technologies (ICSLT 2025)
ICTKS 2025   21st International Conference on Technology, Knowledge, and Society
ICEDS 2025   2025 6th International Conference on Education Development and Studies (ICEDS 2025)
CSEE 2025   IEEE--2025 The 6th International Conference on Computer Science, Engineering, and Education (CSEE 2025)
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus