3. WEB – Social Web – Web Personal
Personal Learning
Environments (PLE)
Aulas Entornos
virtuales virtuales (VLE)
4. Social web ideas to new ways to
understand learning
• Intercreativity (Berners-
Lee)
• Collective intelligence
(Lévy)
• Intelligent crowds
(Rheingold)
• Crowds Wisdom
(Surowiecki)
• Participation Architecture
(O’Reilly).
• Sharism (Isaac Mao)
5. Open social learning, some more topics
• Digital native – Digital Wisdom (Marc Prensky)
• Connectivism (George Siemens)
• Social learning (John Seely Brown)
• Informal Learning (Jay Cross)
• E-learning 2.0 (Stephen Downes)
• Generative learning (Peter Senges)
• Learning Communities (Etienne Wenger, Nancy
White)
• Edupunk (Brian Lamb, Jim Groom)
6. Natives, immigrants? (Marc Prensky)
• Digital wisdom (Marc Prensky 2009)
– What he know about teens? E-competencies?
Interest networks vs. Social networks? (“social
hangout”, danah Boyd)
– Net gen is conservative in technology uses (Ipsos-Reid
Survey, November 2007 )
– Social network uses is low for academic issues. (
University of Guelph 2008)
– Facebook as evangelization environment (Alejandro Piscitelli,
2009)
7. Connectivism (George Siemens)
Heridity: Cognitivism, Constructivism, Systems theories,
Complexity theories, etc..
-Learning and knowledge rests in diversity of opinions.
-Learning is a process of connecting specialized nodes or information sources.
-Learning may reside in non-human appliances.
-Capacity to know more is more critical than what is currently known
-Nurturing and maintaining connections is needed to facilitate continual learning.
-Ability to see connections between fields, ideas, and concepts is a core skill.
-Currency (accurate, up-to-date knowledge) is the intent of all connectivist
learning activities.
-Decision-making is itself a learning process. Choosing what to learn and the
meaning of incoming information is seen through the lens of a shifting reality. -
While there is a right answer now, it may be wrong tomorrow due to alterations
in the information climate affecting the decision
(http://en.wikipedia.org/wiki/Connectivism_%28learning_theory%29)
-More: Stephen Downes ,Dave Cormier (rizoma knowledge)
9. (Holsapple (ed) Handbook on Knowledge management. Springer 2003, pag. 316)
Rick Dove: Individual intelligence is like a neuron. Group intelligence, defying any
localization attempt, capture or isolation, distributed and fluid like our own nervous
system.
10. Social learning
• Inheritance: Bandura (self-efficacy), Bruner
(cognitivism), Vigotsky (sociocultural), constructivism
and others.
• Cluetrain Manifesto (1999): Learning as a
conversation.
• Prosumers – Active students.
• Groundswell (2008): among peers: horizontal
learning, from broadcast, top down to P2P, bottom
up
• Communities of practice /Virtual: Etienne Wenger, Nancy White.
11. John Seely Brown, Richard P. Adler (2008):
Minds on Fire: Open Education, the Long Tail, and Learning 2.0:
12. Informal learning (Jay Cross, 2006)
• 70-90% organization learning occurs informally
• It can be intentional / Plannified.
• It was Oldenburg (1989) which stressed the importance of third places, not
regularized or informal, non-formal learning environments.
• Teemu Arina (2008) called "Serendipity learning" to this kind of knowledge,
extending the conception of man to a "contextus homo", integral and determined
by multiple contexts in which learns.
• Localized vs. Distributed.
• Expanded Culture, EDUPUNK (EDUPOP) would be related contemporary terms.
We would continue talking about learning from experience conscious or
unconscious that can occur at any time or place and not only in the traditional
circuit. Institutional vs. Do it yourself (Brian Lamb, Jim Groom)
• Top-down vs. Bottom up. Cathedral vs. Bazaar
15. Human motivation pyramid (Maslow)
Interest networks
PLE
come form self-
actualization drive
Personal Learning Networks
Social
networks
come from
affection
Modificado dreig de Designing social websites, Christina Wodtke
16. Autonomous learning
• Thanks to Technologies, we extend our cognitive capabilities,
we become more independent and less needed of master
guides on learning. Progressive adaptation to chaos or
increasing our tolerance and management capacity in a world
that is becoming more complex.
Training + User Experience Improving + Motivation +
Personalization= Autonomous learning.
• Institutions: Process, not results, not content: stimulate
interest+ guide along with personalization.
18. Minimally invasive education
• Minimally invasive
learning,Sugata Mitra (“Hole in the wall”).
• Mobile learning,
Ubiquitous learning
19. Lifelong Learning
Stephen Downes
• Lifestreaming, continuous, permanent,
immersive learning
• Results vs. Process
• Free and customizable environments in the
public domain would be offering a unique
opportunity for the development of a learning
more sustainable, independent institutions
• ‘Lifelong learning: the need for portable
personal learning environments and supporting
interoperability standards’. (Olivier y Liber
(2001))
20. Remix
"Multiliteracy", "mash up" or content
and formats remix culture.
Remix of disciplines:
interdisciplinary, common forums.
PLE can be seen as a "mashup" or
addition of tools for best approach to
information from multiple sources
and in multiple formats
22. Experimentation, playing, simulation
storytelling
• Learning in complex environments, existing
knowledge is applied to new contexts,
requires adopting exploratory approaches.
• From classrooms to laboratory (Downes 2008).
• Maturana: “All doing is knowing and knowing
is doing”
24. Role changing
• Student - The learning process involves
Participants interaction between
students, their teachers and
• Professor –
the environment, where the
Facilitator, coach, contents are in the lastest
driver, curator, etc… position, easily
• Information: "replaceable".
perpetual beta (David Wiley) MIT
OpenCourseWare
29. • Within all learning environments, we think that the model
based on a Personal Learning Network (PLN) is the one that
best accomplishes life-long learning and ESHE’s (European
Space for Higher Education) goals. In a PLN, every learner uses
a Personal Learning Environment (PLE) that assists him
searching, retrieving, reusing, editing, sharing and publishing
Digital Learning Resources (DLR) such as posts, images, videos
and learning objects. A PLE is designed as a mash-up of
personalized services, both institutional and external, that
reflects individual learning preferences and collaborative
work, and tracks the learn-streaming of the student.
(Casquero 2009)