Another call for Papers on Mobile learning

already blogged the call for papers fro section on Emerging Mobile Learning Environments for Industries and Pedagogies read at http://andysblackhole.blogspot.com/search?q=International+Journal+

The call for papers is on two subject areas full details and links below.

"Information and Service Personalization for Mobile Learning"
"Mobile Learning and Knowledge Management: Issues in Intellectual Proximity"

see below:

But they've added another call papers on http://www.inderscience.com/browse/callpaper.php?callID=616

details
"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 Intending 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

"Mobile Learning and Knowledge Management: Issues in Intellectual Proximity"
http://www.inderscience.com/browse/callpaper.php?callID=651

Guest Editors: Prof. Mounir Kehal, Prof. Maxime Crener, Prof. David Ansiau, International University of Monaco, Principality of Monaco

Aims and Objectives

Enterprises have turned to explicit - and even conceptualising on tacit - knowledge management to elaborate a systematic approach to develop and sustain the intellectual capital needed to succeed, the knowledge normally attributed to knowledge workers. This is complemented by structural capital, i.e. the structures, technologies, practices put in place by an organisation as an attempt to manage their specialist knowledge. Mobile learning would equally come under such an umbrella, enticing knowledge workers and managers within organisations to conduct work in a mobile manner.

One of the challenges for future mobile organisations will deal with how they can enhance communication channels and collaborate within and between their employees, customers and stakeholders. According to Liebowitz (Liebowitz, 2006), one technique that can help address this issue is social network analysis. Mobile organisations also need to develop new knowledge and learning strategies possibly under the umbrella of a knowledge exchange or sharing system, and especially as related to recognition and reward systems. Uden (Uden, 2006) suggests that activity theory, as a social and cultural psychological theory, can be used to design a mobile learning environment.

Existing theoretical work has paid limited attention to the role of intellectual proximity in facilitating knowledge exchange within clusters of organisations that operate within the same domain of knowledge.

A consensus suggests that users build a mental model from their interactions with artificial systems. Design of mobile devices needs tp to take into consideration the existence of a gap between the user’s viewpoint [interaction-oriented] and the designer’s viewpoint [development-oriented]. Enhancing mobile learning effectiveness requires narrowing this gap between execution and conception. Implementing new solutions for improving the effective use of mobile systems needs new methodological tools and a better understanding of the complexity of user’s mental construction, in line with their containment of the domain knowledge.

The purpose of this special issue is to expose writers and the eventual readership to topics aiming at the facilitation of mobile learning for knowledge workers, from differing and multidisciplinary perspectives.

Subject Coverage

This special issue aims at presenting a selection of papers addressing the topics indicated below, but is not limited to them:

• Knowledge management and mobile learning
• Knowledge flow and mobile learning
• Dissemination of practice and mobile learning
• Currently implemented applications for mobile learning
• Technologies that directly support mobile learning systems (devices, networks, tools etc.)
• Studies of mobile learning in practice
• Reviews of the application of mobile learning in multiple contexts
• Uses of mobile learning in professional learning environments, e.g., mobile health, mobile commerce
• Constraints in the delivery of mobile learning, e.g., human-computer interaction issues in mobile learning environments
• Mobile games for learning
• The role of Wikis, blogs, podcasts, messaging, other on-line tools and Web 2.0 components in mobile learning systems and as mechanisms to exchange/distribute knowledge
• Support for learner interaction and mobile collaborative learning
• Privacy and security issues in mobile learning
• Knowledge expropriation or hoarding issues in mobile learning
• The role of location based services in learning and sharing knowledge
• Organisational structures and mobile learning
• Management issues from mobile learning
• Design of user-friendly mobile devices
• Mental models emerging from interactions with mobile systems
• User's characteristics (age, gender, culture, expertise, etc.) and mobile learning
• Graphic user interface (GUI) design and mobile learning
• Mobile learning interactions and cognitive modeling

Notes for Intending 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: 1 September, 2007

Notification of acceptance and review results: 1 November, 2007

Camera-ready version deadline: 6 January, 2008