ICL 2012
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Transcript of ICL 2012
Content Aggregation and Knowledge Sharing in a
Personal Learning Environment: Serendipitous and Emergent Learning in
Open Online Networks
Mohsen Saadatmand, Kristiina KumpulainenUniversity of Helsinki
Finland
First of all!I like …
Don’t you?www.blog.schoox.com www.govloop.com
The abundance and the learner’s choice! Characteristics of disruptive technologies (Conole 2012)
No central ownership
Ecology of abundance
Personalized digital learning environment
www.disruptive-tech.com
Pedagogy of Abundance
(Weller 2011)
New culture of learning (Thomas & Brown 2011)
Changing learning environments
http://tinyurl.com/99peo8c http://challengefuture.org/news/291
Personal Learning Environment (PLE)
A combination of social media-enabled systems, applications and services which help learner to take control of their learning by using them for aggregating, manipulating, creating digital contents and learning artifacts and sharing them with others.
The Study
• Tools and services used by participants in open online courses for aggregating contents and sharing knowledge as part of their PLEs
• Likelihood of serendipitous learning and emergent learning in the process of seeking, aggregating and sharing contents using various web 2.0 tools and services?
Online Ethnography
Auto-ethnography
Participants
MOOCs (Massive Open Online Courses)
• Online survey
• Online semi-structured interviewing
• Online public data (blogs, FB groups)
• Participant observation
Data
access
aggregate
create
connect
share annotate
bookmark APIs
widgets
Mash-up Tools and Services
(Kop, 2012)
Semantic principles of learning in networks:
•Openness
•Connectedness
•Diversity Unexpected discoveries, by accident and sagacity
http://www.bethkanter.org/nten-curation/
The unanticipated benefits of content aggregation
• searching for knowledge may happen by chance, or as a by-product of the main task• surprising information and unexpected social relationships can lead to meaningful learning• unexpected realization of hidden, seemingly unrelated connections or analogies for learning and research
(Buchem, 2010)
Emergence and unexpected connections
Emergent learning (Williams et al. 2011)
• Self-organizing agents interact freely and openly• Unpredictable and unprecedented• Open and distributed • Interactivity and connectivity
www.ideonexus.com
Conclusions
• Unanticipated benefits of content aggregation and curation
• Openness and connectedness are important
• Abundance and disruptiveness may foster serendipitous learning
• Serendipity as a great source for learning
• Need for more research to explore the value of serendipty for learning
Questions, Comments
Mohsen Saadatmand
Twitter: @saadat_m