INTERNATIONAL JOURNAL OF MOBILE LEARNING AND ORGANISATION - Call For Papers

Oscar Lin oscarl at athabascau.ca
Sun Feb 25 00:37:38 CST 2007


Apologies for cross-posting.

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CALL FOR PAPERS

INTERNATIONAL JOURNAL OF MOBILE LEARNING AND ORGANISATION

Website: http://www.inderscience.com/ijmlo
ISSN (Print): 1746-725X
ISSN (Online): 1741-7268

Special Issue on: “Information and Service Personalization for Mobile
Learning”

Guest Editors:

Assoc. Prof. Fuhua (Oscar) Lin, Athabasca University, Canada
Prof. Kinshuk, Athabasca University, Canada
Prof. Rory McGreal,  Athabasca University, Canada

Aims and Objectives
===================
Mobile learning, or m-learning, has seen exponential growth in recent
years, and increasing availability of high bandwidth network
infrastructures, advances in wireless technologies and popularity of
handheld devices have opened up new accessibility opportunities for
education.

While the opportunities that m-learning presents us with are new - the
challenges have been around for quite some time; smaller screen sizes,
limited processing power, and reduced input capabilities are just few of
such issues that still hinder the effective learning process. These
challenges mean that adapting existing e-learning services and content
to m-learning is not a trivial task. Information and service
personalization research has potential to find solutions to various
problems in effective m-learning, and it is timely to ask:

1. What is the status of information and service personalization in
m-learning?
2. What are the requirements for such m-learning personalization?
3. What are the unique issues that are specific to principles and
technologies for modeling learners, building
infrastructure/environments, designing learning content, and changing
organizations for m-learning?
4. How to deal with context awareness and adaptation in m-learning?

This special issue deals with the techniques and pedagogies for
personalized, adaptive and intelligent m-learning, and aims to include
issues that cross the boundaries of software engineering, artificial
intelligence, and information systems to bring solutions in m-learning
context. This collection will serve as a forum for researchers and
practitioners to discuss the state-of-the-art, present their
contributions and set future directions in information and service
personalization for mobile learning.


Submission of papers
====================

Full paper deadline	                        June 5, 2007
Notification of acceptance and review results 	July 20, 2007
Revised submission deadline	                September 1, 2007
Feedback on revised submissions	                September 25, 2007
Camera-ready version deadline	                October 30, 2007
Special Issue	                                Early 2008


Manuscripts should be prepared in accordance with the format
requirements of the International Journal of Mobile Learning and
Organizations.  Please note that all manuscripts submitted for review
should be in MS Word, double-spaced throughout, and should have an
abstract of no more than 150 words. In particular, the complete
addresses, fax/phone numbers and e-mail addresses of the author(s)
should be indicated only on the cover page.

Submitted papers should not have been previously published nor be
currently under consideration for publication elsewhere.
A guide for authors, sample copies and other relevant information for
submitting manuscripts are available on the Papers Submission section
under Author Guidelines (http://www.inderscience.com/mapper.php?id=31).
Please submit the paper by email as an attachment to
oscarl at athabascau.ca, copied to kinshuk at ieee.org (Subject: IJMLO Special
Issue Submission). You will normally receive an acknowledgment within 48
hours. Please provide email addresses for all authors.

Review Process
==============

Each paper will subject to the following review procedures:
1. It will be reviewed by the guest editors for general suitability for
this publication.
2. If it is judged suitable, it will be sent to two international
experts and a double-blind review process will take place.
3. Based on the recommendations of the reviewers, the guest editors will
decide whether the particular article should be accepted as it is,
revised or rejected.

Guest Editors

Assoc. Prof. Fuhua (Oscar) Lin, Prof. Kinshuk, and Prof. Rory McGreal
Special Issue Editors of IJMLO
Athabasca University
Canada
Phone: + 1-866-539-8664
E-mail: oscarl at athabascau.ca

For more details, please visit: https://www.inderscience.com/ijmlo




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-- 
Best Regards          Fuhua (Oscar) Lin   Ph.D

Associate Professor
Program Coordinator for MSc IS,
in Computing and Information Systems, Athabasca University,










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