Abstract / Description of output
Can we build a semantically adaptive personal learning environment that helps people learn mathematics and that meets reasonable criteria for sustainable growth and development? This is question that applies at the interface between participatory social media and interactive, adaptive, “knowledge media”. Ten years ago, no one had heard of Wikipedia. Perhaps in another ten, P2PU will be as popular as my home institution, The Open University. A wide range of stakeholders in education are surely curious to know why, or why not, and what this may mean for their careers. Aside from the possible social significance of the question, I anticipate that the personal learning environment (PLE) approach
will provide an interesting stream of use data, including implicit and explicit
information about how people learn mathematics. This opportunity to look in detail at learning behaviour in open, online, participatory, educational spaces is quite new. My project will combine socio-cultural analysis, technical development work, and datamining techniques to help support both individualized learning and ongoing system development.
will provide an interesting stream of use data, including implicit and explicit
information about how people learn mathematics. This opportunity to look in detail at learning behaviour in open, online, participatory, educational spaces is quite new. My project will combine socio-cultural analysis, technical development work, and datamining techniques to help support both individualized learning and ongoing system development.
Original language | English |
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Title of host publication | Proceedings of the 5th Doctoral Consortium at the European Conference on Technology Enhanced Learning, Barcelona, Spain, September 29, 2010 |
Publisher | CEUR Workshop Proceedings (CEUR-WS.org) |
Pages | 7-12 |
Number of pages | 6 |
Publication status | Published - 2010 |