by George Siemens, eLearnSpace
The big idea is that learning and knowledge are networked, not sequential and hierarchical. Systems that foster learning, especially in periods of complexity and continual changes to the human knowledge base, must be aligned with this networked model. In the short term, hierarchical and structured models may still succeed. In the long term, and I’m thinking in terms of a decade or so, learning systems must be modelled on the attributes of networked information, reflect end user control, take advantage of connective/collective social activity, treat technical systems as co-sensemaking agents to human cognition, make use of data in automated and guided decision making, and serve the creative and innovation needs of a society (actually, human race) facing big problems. Together, with another colleague, Shane Dawson and programmers Nikola Milikić and Zoran Jeremić, we’ve been working on what we feel is a learning system (educational software) that represents the type of learning needed by individuals and organizations today. We have run pilots with the software and have a few additional pilots planned for fall. We want to move beyond closed, course-based pilots and engage in messier and sloppier learning experiences. To this end, we are offering an open online course starting November 1, 2013 on learning analytics.
http://www.elearnspace.org/blog/2013/08/13/whats-next-for-educational-software/
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