Arv13 smar citieslearning-glue


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There is an urgent need for services to support glocal, reciprocal and multi-episodic lifelong learning processes in digital urban spaces. This presentation presents a model that defines three key attributes that these services has to fulfil for being the glue to connect and guide the complex technology-enhanced learning ecosystems in smart cities: multi-channel, multi-objective and multi- context. It also presents etiquetAR, an example of a glue service and an illustrative.

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Arv13 smar citieslearning-glue

  1. 1. Multi-channel, multi-objective, multi-context services: the glue of the smart cities learning ecosystem Mar Pérez-Sanagustín, Universidad Carlos III de Madrid Ilona Buchem, Beuth University of applied Sciences ARV ‘13 Smart Cities Learning WS 28th January 2013ARV 2013: Smart Cities Learning WS
  2. 2. Outline 1. Proposal: A Glue service 2. Contribution: etiquetAR, a glue service 3. A glocalised scenario: Braking myths 4. ConclusionsARV 2013: Smart Cities Learning WS
  3. 3. Glocalities, where the local and “We are free to choose our own the global networks for membership and co-exist our own level of engagement in each network. We are free, as well, to shape our degrees of connection to local space. As a result, we can each create our own customized – and evolving – fusion of local and “ global identities. Josua Merowitz, The Rise of Glocality: New senses of place and Identity in the Global Village“Unique, constanlyevolving, mechanismthrough Cities Learning we learn ARV 2013: Smart which WS
  4. 4. We need services to support our learningand making sense of distributedknowledge between the global and thelocal diversity, while participating in anever evolving, lifelong learning processwithin smart cities ecosystems. Challenge ARV 2013: Smart Cities Learning WS
  5. 5. Proposal ProposalARV 2013: Smart Cities Learning WS
  6. 6. Proposal Proposal Support for multi-directional conversations trough multiple channels to allow agents to create and choose different identities in diverse communication patterns. • Promoting participation • Assuring egalitarian dialogue • Supporting crowdsourcingARV 2013: Smart Cities Learning WS
  7. 7. Proposal Proposal Support for diverse objectives guiding agents in building their learning paths and connect to different information sources. • Capture • Curation • Search • Analyze • VisualizeARV 2013: Smart Cities Learning WS
  8. 8. Proposal Support for interacting and exploring of Proposal urban spaces fostering serendipity: • Support for recognizing patterns, opportunities and potentials of random information • Support for connecting physical and localARV 2013: Smart Cities Learning WS
  9. 9. Contribution A glue Service Supporting the desing of tag-based experiences for the smart cityARV 2013: Smart Cities Learning WS
  10. 10. Contribution A glue Service • Multi-channel: Creating Personal tags for augmenting and extending urban elements • Multi-objective: tags with resources to different profiles • Multi-context: Tags for relating physical space with virtual informationARV 2013: Smart Cities Learning WS
  11. 11. Breaking myths Contribution A gloalised scenario Objective: Involve citizens from different countries in a discussion about the urban elements of their cities to break prejudices and learn about their culture and history. Actors: Students & Citizens from Paris, London and Berlin Service: etiquetAR to augment the city urban elements Environment: Paris, London and Berlin augmented with QR tagsARV 2013: Smart Cities Learning WS
  12. 12. 1. Students from differentcountries generate a tag to 2. Students access to otheraugment a urban element students tags to ask questions about this element related to myths and prejudices 3. Citizens interact and answer questions 4. Students owner of tags update the information using information fromARV 2013: Smart Cities Learning WS citizens.
  13. 13. • Glue services for supporting smart Conclusions A gloalised scenario cities learning: multi-channel, multi- objective and multi-objective • etiquetAR, a glue service • Breaking myths, a glocalised smart city learning scenario More GLUE services for the smart city. Explore how these services have to be used.ARV 2013: Smart Cities Learning WS
  14. 14. Thank you Mar Pérez-Sanagustín: Ilona Buchem 2013: Smart Cities Learning WS
  15. 15. IntroductionLearning through glocalities• Glocalities are unique and constantly evolving• Citizens are lifelong learners permanently learning with and within the city• Citizens build up their learning ecosystems to be constantly evolvingARV 2013: Smart Cities Learning WS
  16. 16. How should we define the services to support our learning and making sense of distributed knowledge between the global and the local diversity, while participating in an ever evolving, lifelong learning process within smart cities ecosystems? Introduction ChallengeARV 2013: Smart Cities Learning WS
  17. 17. To provide services thatinterconnect all agents andorchestrate the ecosystem, bothintegrating technologies involvedand mediating the informationflow. ChallengeARV 2013: Smart Cities Learning WS