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Work based-learning @MATEL workgroup

Work based-learning @MATEL workgroup

Brussels 24-25 October 2012

Photos on FB: https://www.facebook.com/media/set/?set=a.10151121272873543.433573.663533542&type=1

Video of the last session on recommendations presented by David Smith: http://youtu.be/bAY7O1ZN9_M

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Work based-learning @MATEL workgroup

  1. 1. THE PRESENT FUTURE
  2. 2. Work-BasedLearningMATEL WORKGROUPFabricio CardinaliDavid smithHajo KoglinNiki Lambropoulos
  3. 3. UBIQUITOUS LEARNING
  4. 4. COMPETENCIES ePortfolios Digital Repositories EnablingInfrastructure Blogs OPEN WORK Games Mobile devices FLOW
  5. 5. Work-based Learning Professional development Internal – external training Large – small companies Scalability Competencies - Work flow integration – performance indicators
  6. 6. PROPOSITION ECO-SYSTEM that integrates all technologies EXCEPT ITS  Immersive learning experiences  Next generation learning content management systems  Ambient technologies  Haptic technologies  Augmented reality  3D Environments  <Your Own>
  7. 7. Technologies1. ePortfolios-smart archiving2. Blogs, Micro-blogging, Blog archives integrated in systems3. serious Games-emulating workflows4. Digital Repositories * OER -> open standards architecture5. Enabling infrastructure – evaluation / training methodology6. Mobile devices (smart devices)7. Omit ITS (old term)
  8. 8. Work Flow – Competenciesbased Eco-systems Integrate a number of technologies in an open/standard architectural framework Scalability Talent performance support Competence based systems Micro skilling vs macro learning Openness (systems, policies, standards) Personalised, time- based, 360 degrees evaluation and responsive support Content/resource curation @ the workspace
  9. 9. Barriers Lack of time Cost Lack of confidence and insecurity Passive or null participation – Tech fear Credibility problems with quality of information offered Cultural issues Technical barriers  Lack of knowledge about new technologies  Problems with new technologies  Lack of technical support
  10. 10. Bottlenecks Stretched hardware Distributed User Interfaces (DUI) Ambient technology, interoperability, context awareness Traditional vs innovative products Who uses the smart device? Cloud computing (security, discontinuity of the service) Interpersonality / human capital / coaching, apprentiship Physical work place prohibits to work with technologies  HELLERUP – VITRA schools
  11. 11. Research Every bottleneck issue is a research challenge / direction Complexity vs usability / ubiquity Open architecture Europe cannot work on HUGE IT systems but plug-in into existing ones Eco-systems to support work-flow and related competencies
  12. 12. Lifelong Learning * Becoming

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