5. 5 Million EUR from the European Union, 6.4 Million EUR in total. Well, we got substantial funding from the European Commission to (re-)structure the European Research Area in TEL.
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7. The Open University, Milton Keynes, UK Université Joseph Fourier, Grenoble, France Ludwig-Maximilians-Universität, Munich, Germany University of Bristol, Bristol, UK University of Nottingham, Nottingham, UK Leibniz Universität Hannover, Hannover, Germany Knowledge Media Research Center, Tüebingen, Germany Centre for Social Innovation, Vienna, Austria EcolePolytechniqueFédérale de Lausanne, Lausanne, Switzerland KatholiekeUniversiteit Leuven, Leuven, Belgium ConsiglioNazionaledelleRicerche, IstitutoTecnologieDidattiche, Genova, Italy Open University of the Netherlands, Heerlen, Netherlands Know-Center, Graz, Austria University of Freiburg, Freiburg, Germany ATOS ORIGIN, Barcelona, Spain SCIENTER, Bologna, Italy We are 16 orgs from all over Europe coordinated by
14. Grand Challenges Understandable & significantwith a clearly stated compelling case for contributing to long-term benefits for society Challenging, timely, and achievable with concerted, coordinated efforts Clearly useful in terms of impact and scale, if solved, with long-term benefits for many people and international in scope Measurable and incrementalwith interim milestones that produce useful benefits as they are reached
15. Which problem? Main activities required? Timeframe? Measurable progress and success indicators? Which capacities/resources needed? foto: flickr/myoldpostcards
16. Neurosciences, Technology & Learning (ARV’11) Substantially improving motivation and learning of learners by systematically using game-based environments informed by our emerging understanding of the brain’s reward system
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18. Reduce the drop-out rate in online learning by 10% employing recommender systems for learning’ ‚Privacy, Data Protection, Surveillance in DataTEL: The DataTEL research must address issues with respect to data protection (or other relevant) legislation compliance, concerns with respect to individual privacy, as well as problems arising from surveillance (social sorting, cumulative disadvantages)’ data TEL (ARV’11)
19. Exploring the Fitness and Evolvability of Personal Learning Environments (ARV’11) Instant formation of learning networks One tutor per learner
20. Multiply effectiveness of your workforce With the help of learning analytics that reflects and predicts all skills relevant For having a flexible, adaptive, resilient, open, cooperative mindset Thereby putting a soft skill focus on top of core knowledge STELLAR Meeting of Minds ‘11
24. A few impressions: Landing page Aggregation from Feeds, Podcasts, Publications, … 24
25. 25 What is this site about, video welcome messages generics Dedicated featured groups podcast player featured publications & burst search New users Latest groups specifics Featured activities and blogs The Landing Page
27. 27 Introduction with link to more detailed information on pages Interface to relevant publications Discussion topics aggregation possible notifications Pages Group’s Blog Postings An Example Group ratings, … Files & Bookmarks
29. TEL Framework: core research areas (from the STELLAR delphi study with 576 global participants) Connecting Learners Computer-supported collaborative learning Reducing the digital divide Emotional and motivational aspects of TEL Workplace learning Connection between formal and informal learning Interoperability Informal learning Improve practices of formal education Contextualized learning Personalization of learning Ubiquitous & mobile technology and learning Orchestrating Learning ContextualizingLearning
43. 3rd STELLAR Delphi RoundVisionary Statements 5 Areas of Tension Ubiquitous learning opportunities vs. Focused and critical processing of information Digital divide despite technology spread Data tracking for personalized learning vs. Data privacy Approved practices vs. Continuous innovation in the classroom Individual learning paths vs. Standardized learning paths 43