just a short reminder for the SI dataTEL at IJTEL. There are only 13 days left for your high-quality contributions.We were able to arrange some funding to disseminate the SI as printed copy at...

just a short reminder for the SI dataTEL at IJTEL. There are only 13 days left for your high-quality contributions.We were able to arrange some funding to disseminate the SI as printed copy at relevant scientific events, maybe that gives you some extra motivation for your papers. Regarding multiple requests please use the following template for your submissions: http://www.inderscience.com/mapper.php?id=64 and here is the call again:************************************************CALL FOR JOURNAL PAPERSSpecial Issue on dataTEL“Datasets and Data Supported Learning in Technology-Enhanced Learning”International Journal of Technology Enhanced Learning  (IJTEL)ISSN (Online): 1753-5263  -  ISSN (Print): 1753-5255Deadline of submissions: 25 October 2011************************************************SCOPEThe prospect of great growth of open and linked data in the knowledge society creates opportunities for new insights through advanced analysis methods based on e.g., information extraction, filtering, and retrieval technologies. Educational institutions also create and own large datasets on their students’ and course activities. The analytic use of such data, however, is very limited, when considering new educational services, recommending suitable peers or content or processes or goals, and improving the personalization of learning. Nevertheless, personalized learning is expected to have the potential to create more effective learning experiences, and accelerate learners’ time-to-competence. In the educational world, the literature is sparse on how to build upon today’s very limited public datasets and how to accommodate the lack of agreed quality standards on the personalization of learning. The special issue on dataTEL in IJTEL aims to address this issue by collecting high value research papers to develop a body of knowledge about data-based personalization of learning. So far, there is no consensus on algorithms that can be successfully applied to make reliable analyses of data in a specific learning setting. Having an initial collection of datasets, coupled with case studies of their use in TEL, could be a first major step towards a theory of personalisation within TEL that can be based on empirical experiments with verifiable and valid results.However, data driven research confronts researchers with a new set of challenges, for instance, a lack of common dataset formats or policies to share educational datasets, a huge variety of different evaluation methods for comparing diverse personalization techniques, and new ethical and privacy issues that arise from the ability to link and mine information. Therefore, the objective of this special issue is to explore suitable datasets for TEL – with a specific focus on recommender and information filtering systems that can take advantage of these datasets. In this context, new challenges emerge like unclear legal protection rights and privacy issues, suitable policies and formats to share data, required pre-processing procedures and rules to create sharable data sets, common evaluation criteria for recommender systems in TEL and how a data set driven future in TEL could look like.TOPICSRelevant topics include, but are not limited to:-    descriptions of datasets that can be used for experimentation-    descriptions of data experiments (methods or results of experiments)-    experiences with those datasets-    dealing with legal protection rights towards datasets on a European level-    privacy preservation for educational datasets-    methods of effective anonymisation of educational datasets-    management and pre-processing procedures for educational datasets-    future scenarios for educational datasets -    impact of educational datasets for learners, teachers, and parents -    mash-ups based on educational datasets-    recommender approaches that are based on educational data-    evaluation methodologies and metrics for educational recommender systems SPECIAL ISSUE CO-EDITORSHendrik Drachsler, Open University, The NetherlandsKatrien Verbert, K.U. Leuven, Belgium Miguel-Angel Sicilia, University of Alcalá, SpainNikos Manouselis, Agro-Know Technologies, GreeceStefanie Lindstaedt, KnowCenter, AustriaMartin Wolpers, Fraunhofer Institute for Applied Information Technology, GermanyRiina Vuorikari, European Schoolnet, BelgiumSUBMISSIONSAuthors are invited to submit original unpublished research as papers. All submitted papers will be peer-reviewed by at least two members of the program committee for originality, significance, clarity, and quality. In addition, the authors are asked to contribute short abstracts of their submissions to the dataTEL group space at TELeurope. Submission will be available through the EasyChair submission system: http://www.easychair.org/conferences/?conf=datatel2011Details of the journal, manuscript preparation are available on the here:http://www.inderscience.com/www/authorguide.pdf Any questions and submissions should be sent to: hendrik.drachsler@ou.nlREVIEW COMMITTEE (TBC)Erik Duval, K.U. Leuven, BelgiumSeda Gurses, K.U. Leuven, BelgiumAbelardo Pardo, University Carlos III of Madrid, Spain Julià Minguillón, Open University of Catalonia, SpainChristoph Rensing, TU Darmstadt, GermanyJohn Stamper, Datashop, Pittsburgh Science of Learning Center, USAEelco Herder, Forschungszentrum L3S, GermanyXavier Ochoa, Escuela Superior Politécnica del Litoral, EcuadorFridolin Wild, KMI, Open University, UKWolfgang Reinhardt, University of Paderborn, GermanyWolfgang Greller, Open Universiteit, The NetherlandsMarco Kalz, Open Universiteit, The NetherlandsPeter Sloep, Open Universiteit, The NetherlandsRalf Klamma, RWTH Aachen, GermanyPythagoras Karampiperis, NCSR Demokritos, GreeceGiannis Stoitsis, IEEE, Greece IMPORTANT DATESSubmission of manuscripts: 25 October 2011  Completion of first review: 30 November 2011Submission of revised manuscripts: 15 January 2011Final decision notification: 10 February 2012Publication date (tentative): February 2012SUBMISSION GUIDELINESThe manuscripts should be original, unpublished, and not in consideration for publication elsewhere at the time of submission to the International Journal on Technology-Enhanced Learning and during the review process.Please carefully follow the author guidelines at http://www.inderscience.com/mapper.php?id=31while preparing your manuscript. To get familiarity with the style of the journal, please see a previous issue at http://www.inderscience.com/browse/index.php?journalID=246 and under the following URl you can find a template for the Journalhttp://www.inderscience.com/mapper.php?id=64All manuscripts will be subject to the usual high standards of peer review. Each paper will undergo double blind review.

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