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.

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 2013
ARV 2013: Smart Cities Learning WS

2. Outline
1. Proposal: A Glue service
2. Contribution: etiquetAR, a glue service
3. A glocalised scenario: Braking myths
4. Conclusions
ARV 2013: Smart Cities Learning WS

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, constanly
evolving, mechanism
through Cities Learning we learn
ARV 2013: Smart
which WS

4. We need 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.
Challenge
ARV 2013: Smart Cities Learning WS

5. Proposal
Proposal
ARV 2013: Smart Cities Learning WS

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 crowdsourcing
ARV 2013: Smart Cities Learning WS

7. Proposal
Proposal
Support for diverse objectives guiding
agents in building their learning paths
and connect to different information
sources.
• Capture
• Curation
• Search
• Analyze
• Visualize
ARV 2013: Smart Cities Learning WS

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 local
ARV 2013: Smart Cities Learning WS

9. Contribution
A glue Service
Supporting the desing of tag-based experiences
for the smart city
ARV 2013: Smart Cities Learning WS

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 information
ARV 2013: Smart Cities Learning WS

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 tags
ARV 2013: Smart Cities Learning WS

12. 1. Students from different
countries generate a tag to 2. Students access to other
augment 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 from
ARV 2013: Smart Cities Learning WS citizens.

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. Thank you
Mar Pérez-Sanagustín:
http://mperezsanagustin.wordpress.com/
Ilona Buchem
http://ibuchem.wordpress.com/
ARV 2013: Smart Cities Learning WS

15. Introduction
Learning 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
evolving
ARV 2013: Smart Cities Learning WS

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
Challenge
ARV 2013: Smart Cities Learning WS

17. To provide services that
interconnect all agents and
orchestrate the ecosystem, both
integrating technologies involved
and mediating the information
flow.
Challenge
ARV 2013: Smart Cities Learning WS