With the proliferation of mobile computing technology, mobile learning (m-learning) has played a critical role in the rapidly growing electronic learning community. Through the use of the wireless internet and mobile devices, m-learning enables students to learn anytime and anywhere. More innovative m-learning technology and applications continue to be developed and experimented. Given that m-learning can change students learning style and methods dramatically, the assessment on the effectiveness and impacts of innovative m-learning applications becomes more important than ever. The thought-provoking methods or frameworks for the evaluation of m-learning systems are as important as the breakthrough in the development of m-learning technologies and applications to the success of m-learning systems.

This special issue aims to bring together researchers, practitioners, system developers, and all those working in different areas related to m-learning technologies, applications, and evaluations. We invite authors to submit original research articles that will enhance our understanding of emerging and innovative m-learning technologies, the strategies and methods of m-learning application development, and the assessment and measurement of m-learning systems success.

Potential topics include

Cloud computing and m-learning
Wearable and sensor technologies for m-learning
Theories and models for m-learning
Innovative m-learning systems and applications
Mobile human computer interaction
Evaluation and assessment of m-learning systems success
Infrastructure, administrative, and organizational issues of m-learning
Mobile games for learning
Mobile knowledge sharing
Important Dates

Full paper submission due: February 28, 2017

First-round review: May 30, 2017

Revised submission due: June 30,2017

Second-round review: July 30, 2017

Final paper due: August 30, 2017

Publication: January 2018

SUBMISSION GUIDELINES

Unpublished manuscripts or extended versions of the papers that have been published in related conference proceedings are welcome. All submissions must be original and not currently under review for publication elsewhere. All submitted papers will be peer reviewed using the normal standards of CAEE. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue.

Authors should submit their papers through the Elsevier Editorial System web site (http://ees.elsevier.com/compeleceng/) using the Article Type "SI-mlt”.

Author guidelines are available at the journal website at http://www.elsevier.com/journals/computers-and-electricalengineering/0045- 7906/guide-for-authors.).

GUEST EDITORS

Dr.R.Varatharajan, (Managing Guest Editor)
Professor, Sri Lakshmi Ammal Engineering College,
India.
varathu21@yahoo.com

Dr. Hong jer Lang,
Professor, Taylors University,
Malaysia
jerLang.Hong@taylors.edu.my

Dr. Xiao-Zhi Gao,
Professor, Electrical Engineering,
Aalto University,
Finland
xiao.z.gao@gmail.com