Friday, March 9, 2012

Personal Learning Environments, PLEs

Personal learning environments are systems that provide support for learners to control their own learning toward setting learning goals, managing the content and the way they process content, and communication with peers, teachers, and experts to achieve their learning goals. PLEs can refer to just one application or web service, or it may be many resources connected in a learning space.


Francesc Esteve's Photostream on Flickr, Creative commons licensing

Goldstein and Miller in 1976.
Colloquia-the first peer-to-peer learning space (2000) Oleg Liber
Epsilen Environment developed by Ali Jafari
Elgg system developed by Dave Tosh and Ben Werdmuller
PebblePAD developed by UK-based Pebble Learning

Wikipedia: http://en.wikipedia.org/wiki/History_of_personal_learning_environments explains the origins of PLE's- 1976- present

2003: The ROMA project begins at the Open University of the Netherlands, focusing on the use of stigmergic connections within social networks to enhance individual learning experiences through the mining of anonymized information on the pathways chosen by successful learners. This work provided a foundation for the educational use and methods of social network analysis to support learning. (Similar work was also undertaken by INSEAD in France - more details needed)

PLNs, or personal learning networks consist of all the digital networks, people, and resources which play a role for individual learners.


http://www.flickr.com/photos/suewaters/2675052081/
http://e-language.wikispaces.com/plns

Technological platforms for linking different services together include automated aggregators like Flavors.me and Symbaloo, also listed on the PLEs page.


Bibliography
van Harmelen, Mark (August 2006). "Personal Learning Environments". Retrieved 2006-08-24.
Goldstein, Ira. P.; Miller, Mark L. (1976). "AI Based Personal Learning Environment". AI Memo. MIT. pp. 1–35. Retrieved 2010-08-29.
http://dspace.mit.edu/handle/1721.1/6259
The application of artificial intelligence (AI) techniques to the design of personal learning environments is an enterprise of both theoretical and practical interest. In the short term, the process of developing and testing intelligent tutoring programs serves as a new experimental vehicle for exploring alternative cognitive and pedagogical theories. In the long term, such programs should supplement the educational supervision and guidance provided by human teachers. This paper illustrates our long term perspective by a scenario with a hypothetical tutoring system for elementary graphics programming.
URI: http://hdl.handle.net/1721.1/6259

Liber, Oleg (2000). "Colloquia - a Conversation Manager". Campus Wide Information Systems 17(2). pp. 56–62. Retrieved 2006-08-27.
^ Downes, Stephen (October 2005). "E-learning 2.0". Retrieved 2006-08-28.

Community of Inquiry Resources
Garrison, D.R. (2007). Online community of inquiry review: Social, cognitive, and teaching presence issues. JALN, 11(1), 61-72. http://sloanconsortium.org/sites/default/files/v11n1_8garrison.pdf
Garrison, D.R., & Anderson, T. (2011). Community of inquiry. In E-learning in the 21st century: A framework for research and practice (2nd ed., pp.19-29). New York: Routledger. [UWA CMO]
Motteram, G. (2009). Social computing and teacher education: An agenda for course development. Innovation in Language Learning and Teaching, 3(1), 83-97. [UWA CMO]
Teaching & Learning Centre. (2007). Community of inquiry. http://communitiesofinquiry.com/

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