1st International Workshop on Mobile Learning (WmL'15)
Lodz, Poland, September 13-16, 2015
The growing understanding and acceptance of m-learning and instructional affordances of mobile technologies have enabled the design and investigation of mobile learning solutions across various contexts and domains. Over a decade old research into m-learning coupled with experimentation and practical application in a variety of educational contexts across the globe helped to distil best practices and learning principles particularly suited to mobile learning, such as contextual, blended, situated, augmented and collaborative learning among others. There are also new technologies being implemented in the context of m-learning utilizing various portable and wearable devices (e.g., mobile phones, tablets, and Google glasses). Augmented reality (AR), voice to text, and text to speech, natural language processing combined with the power of cloud computing open new areas for education and educational technology. New standards are developed to enable tracking of the learners’ progress. As well as new assessment methods, responding to the mobile nature of the m-learning context are researched and implemented. A challenge remains to understand what happens while learners are on the move, discovering how and when they learn, and how to best utilize all the capabilities of mobile technologies to optimize learning on the go. The development of cloud computing and learning analytics offers potential for exploring innovative m-learning experiences and alternative evaluation strategies which may in turn shade more light onto the process and outcomes of learning with mobiles.
WmL’15 is organized within a framework of the FedCSIS Multiconference, and focuses on the development of m-learning theory and technologies and their different application areas.
WmL’15 will provide an international forum for experts from the academia, the R&D sector, and the industry to present the latest m-learning solutions as well as discuss and exchange current results and new ideas based on the ongoing research and experience.
We are inviting submissions of high-quality original research and technology papers that have not been previously published and are not under review for any other conference or journal. Submissions will be reviewed by at least two referees on the basis of the originality of the work, the validity of the results, chosen methodology, writing quality and the overall contribution to the field of m-learning.
We invite researchers, practitioners, developers and all those working in the m-learning area to submit work under the following topics:
- Pedagogical approaches, models and theories for m-learning
- m-learning in and across formal and informal settings
- Strategies and challenges for integrating m-learning in broader educational scenarios
- Context-based m-learning
- Blended learning
- Evaluation and assessment of m-learning
- Research methods, ethics and implementation of m-learning
- Learning analytics and mobile learning
- Mobile social media and user-generated content
- Cloud computing and mobile learning
- User studies in m-learning
- Life-long and informal learning using mobile devices
- Learner mobility and transitions afforded by m-learning
- m-learning strategies in educational institutions, corporations and government organizations
- Socio-cultural context and implications of m-learning (Theory and Practice)
- Enabling m-learning technologies, applications and uses
- Innovative m-learning approaches
- Tools, technologies and platforms for m-learning
- m-Learning Management Systems (mLMS)
- Future of m-learning: trends, emerging mobile technologies, hardware and software applications
Paper Submission, Publication and Indexation
- Authors should submit draft papers (as Postscript, PDF of MSWord file).
- The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar
- Extended versions of selected papers presented during the conference will be published as Special Issue(s).
- Organizers reserve right to move accepted papers between FedCSIS events.