Below is the CfP for the 2nd workshop on Mash-Up Personal Learning Environments (MUPPLE’09). The same workshop last year was a great success. Please do consider submitting a paper to this very interesting workshop. Looking forward to seeing many of you there!
2nd Workshop on
Mash-UP Personal Learning Environments (MUPPLE-09)
Interoperable Widgets, Services, and Microformats to facilitate Competence Development
held at the 4th European Conference on Technology Enhanced Learning (EC-TEL09), Nice, France, September 29 - October 2, 2009
A change in perspective can be certified in the recent years to technology-enhanced learning research and development: More and more learning applications on the web are putting the learner centre stage, not the organisation. They empower learners with capabilities to customize and even construct their own personal learning environments (PLEs).
These PLEs typically consist of distributed web- applications and services that support system-spanning collaborative and individual learning activities in formal as well as informal settings. These PLEs typically complement Learning Management Systems (LMS) with additional widgets, services, and data integrated from and with organization-external learning tools.
Consequently, the aim of this workshop is not to discuss the concepts ‘PLE vs. LMS’, but to focus more generally on how learning experiences can be enriched using mash-ups of widgets and services with microformats and how technology can help to respond automatically to competence level, need, or context. Moreover, the investigation of necessary competencies to deploy mash-up technologies, is dedicated special attention in this workshop.
In a wide range of European IST-funded research projects such as ROLE, iCoper, Stellar, LTfLL, Mature, Palette, OpenScout, and TENcompetence a rising passion for these technologies can be identified.
This workshop therefore serves as a forum to bring together researchers and developers from these projects and an open public that have an interest in understanding and engineering mash-up personal learning environments (MUPPLEs).
Data Interoperability: with e.g. Microformats, streaming data, mixed media data
User Interfaces: Concepts, Metaphors, Workflows
Innovative Widgets and Services: e.g. for instruction, game-based learning, self-reflection, personal information
Interoperability Standards for widgets, content recombination, configuration
User Studies & Evaluation Methods: evaluating e.g. performance, usability, specific design features, training methods
The aim of this workshop is to bring together the various research and development groups in technology-enhanced learning that currently focus on the development of the next generation learning environments – learning environments that put the individuum centre stage and empower learners with design capabilities by deploying modern mash-up principles to establish system-spanning interoperability.
As this approach is rather young, the workshop seeks to attract both research results and work in progress in order to chart out the current state-of-the-art of MUPPLEs in TEL and to define main enablers and future challenges. Naturally, it will serve as a forum for establishing new collaborations.
Using the presentations as impulses and continuing post-talk debates, the workshop will conclude the day with an open discussion exchanging ideas, summing up, and defining a medium- to long-term research agenda.
Authors are invited to submit original unpublished research as full papers (8 pages), work-in-progress as short papers (max. 4 pages) or position statements (max. 2 pages). All submitted papers will be peer- reviewed by at least three members of the program committee for originality, significance, clarity, and quality.
The workshop proceedings will be published online as part of the CEUR Workshop proceedings series. http://CEUR-WS.org is a recognized ISSN publication series, with ISSN 1613-0073.
Furthermore, the workshop serves as stage for presenting a snapshot of the work on contributions planned to be submitted to the upcoming special issue on mash-up personal learning environments in the International Journal of Technology Enhanced Learning (IJTEL, http://www.inderscience.com/browse/index.php?journalCODE=ijtel).
Nikos Karacapilidis (University of Patras, Greece)
Scott Wilson (University of Bolton, United Kingdom)
Stephane Sire (EPFL, Switzerland)
Tony Hirst (Open University, UK)
Bernd Simon (Knowledge Markets)
Jad Najjar (Vienna University of Economics and Business)
Kai Hoever (IMC AG)
Zuzana Bizonova (INT Paris)
Jan M. Pawlowski (University of Jyväskylä)
Marco Kalz (Open University, The Netherlands)
Daniel Müller (IMC AG, Germany)
Palmer (University of Upsala, Sweden)
Fridolin Wild (The Open University, UK)
After three successful EC-TEL conferences in 2006, 2007, and 2008, the Fourth European Conference on Technology Enhanced Learning provides a unique forum for all research related to TEL, among them education, psychology, and computer science. The contributions will cover the design of innovative environments, the implementation of new technological solutions, results of empirical studies on socio-cognitive processes in learning, and field studies regarding the use of technologies in context. EC-TEL is a competitive and broad forum for TEL research in Europe and beyond. In its specialised accompanying workshops and the highlighting main conference programme, EC-TEL09 provides unique networking possibilities for participating researchers throughout the week and includes project meetings and discussions for ongoing and new research activities supported by the European Commission. See http://www.ectel09.org/ for details.
Dr.rer.nat. Mohamed Amine Chatti is a Senior Computer Sciencist at Informatik 9 (Learning Technologies), RWTH Aachen University, Germany. He has a diploma degree in computer science from the Technical University of Kaiserslautern, Germany, in 2004 and a PhD degree in computer science from RWTH Aachen University, Germany, in 2010. His research focuses on Web Information Systems, Technology Enhanced Learning, Data Science, and Knowledge Management.