CfP dataTEL SI at Journal IJTEL deadline 25.10.2011


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CfP dataTEL SI at Journal IJTEL deadline 25.10.2011

  1. 1. ************************************************ CALL FOR JOURNAL PAPERS Special 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): 1753-5255 Deadline of submissions: 25 October 2011 ************************************************SCOPEThe prospect of great growth of open and linked data in the knowledge society createsopportunities for new insights through advanced analysis methods based on e.g.,information extraction, filtering, and retrieval technologies. Educational institutions alsocreate and own large datasets on their students’ and course activities. The analytic useof such data, however, is very limited, when considering new educational services,recommending suitable peers or content or processes or goals, and improving thepersonalization of learning. Nevertheless, personalized learning is expected to have thepotential to create more effective learning experiences, and accelerate learners’ time-to-competence. In the educational world, the literature is sparse on how to build upontoday’s very limited public datasets and how to accommodate the lack of agreed qualitystandards on the personalization of learning.The special issue on dataTEL in IJTEL aims to address this issue by collecting highvalue research papers to develop a body of knowledge about data-basedpersonalization of learning. So far, there is no consensus on algorithms that can besuccessfully 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 bebased on empirical experiments with verifiable and valid results.However, data driven research confronts researchers with a new set of challenges, forinstance, a lack of common dataset formats or policies to share educational datasets, ahuge variety of different evaluation methods for comparing diverse personalizationtechniques, and new ethical and privacy issues that arise from the ability to link andmine 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 takeadvantage of these datasets. In this context, new challenges emerge like unclear legalprotection rights and privacy issues, suitable policies and formats to share data, requiredpre-processing procedures and rules to create sharable data sets, common evaluationcriteria for recommender systems in TEL and how a data set driven future in TEL couldlook like.
  2. 2. 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 systemsSPECIAL ISSUE CO-EDITORSHendrik Drachsler, Open University, The NetherlandsKatrien Verbert, K.U. Leuven, BelgiumMiguel-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 submittedpapers will be peer-reviewed by at least two members of the program committee fororiginality, significance, clarity, and quality. In addition, the authors are asked tocontribute short abstracts of their submissions to the dataTEL group space atTELeurope.Submission will be available through the EasyChair submission system: of the journal, manuscript preparation are available on the here: questions and submissions should be sent to:
  3. 3. REVIEW COMMITTEE (to be confirmed)Erik Duval, K.U. Leuven, BelgiumSeda Gurses, K.U. Leuven, BelgiumAbelardo Pardo, University Carlos III of Madrid, SpainJulià Minguillón, Open University of Catalonia, SpainOlga Santos, aDeNu, Spanish National University for Distance Education, SpainJulien Broisin, Université Paul Sabatier, FranceChristoph Rensing, TU Darmstadt, GermanyShlomo Berkovsky, CSIRO, AustraliaJohn Stamper, Datashop, Pittsburgh Science of Learning Center, USAEelco Herder, Forschungszentrum L3S, GermanyMartin Memmel, DFKI, 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 NetherlandsAdriana Berlanga, Open Universiteit, The NetherlandsPeter Sloep, Open Universiteit, The NetherlandsRalf Klamma, RWTH Aachen, GermanyPythagoras Karampiperis, NCSR Demokritos, GreeceGiannis Stoitsis, IEEE, GreeceIMPORTANT DATESSubmission of manuscripts: 25 October 2011Completion 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 publicationelsewhere 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 while preparing your manuscript. Toget familiarity with the style of the journal, please see a previous issue at manuscripts will be subject to the usual high standards of peer review. Each paperwill undergo double blind review.