Calls for papers

 

International Journal of Mobile Learning and Organisation

 

Special Issue on: "Information and Service Personalization for Mobile Learning"

Guest Editors: Assoc. Prof. Fuhua (Oscar) Lin and Prof. Kinshuk and 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 the 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.

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.

Subject Coverage
Information and service personalization research has potential to find solutions to various problems in effective m-learning, and it is timely to ask questions which include but are not limited to:

• What is the status of information and service personalization in m-learning?
• What are the requirements for such m-learning personalization?
• 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?
• How to deal with context awareness and adaptation in m-learning?

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

Important Dates

Full paper deadline: 5 June, 2007

Notification of acceptance and review results : 20 July, 2007

Revised submission deadline: 1 September, 2007

Feedback on revised submissions: 25 September, 2007

Camera-ready version deadline: 30 October, 2007