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ECTEL
2010
Springer

Deep Learning Design for Sustainable Innovation within Shifting Learning Landscapes

14 years 1 days ago
Deep Learning Design for Sustainable Innovation within Shifting Learning Landscapes
Changes in the underpinning technologies for TEL is occurring at a pace that we have never before experienced, and this is unlikely to slow down. This necessitates a broader and more profound understanding of design that needs to be more future-proof than relying on the latest or emerging technologies and yet embraces the collaborative, multimodal and ubiquitous nature of learning in 21C. In addressing this challenge this article develops, exemplifies and tests the approach of Deep Learning Design (DLD), which has led to relatively large-scale and sustainable innovations and also outlined clear directions for near-future developments. Specifically, in this article we: justify why DLD is necessary and describe its key principles; exemplify these principles through four TEL initiatives; and, draw some implications and conclusions from across these projects about DLD and future learning.
Andrew Ravenscroft, Tom Boyle, John Cook, Andreas
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2010
Where ECTEL
Authors Andrew Ravenscroft, Tom Boyle, John Cook, Andreas Schmidt
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