Designing Digital Technologies for Layered Learning

  • Ken Kahn
  • Richard Noss
  • Celia Hoyles
  • Duncan Jones
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4226)


Designing digital technologies for deep learning is a highly non-trivial enterprise. In this paper, we discuss one approach we have adopted that seeks to exploit the possibility of affording diverse layers of engagement that exploit the interconnectivity available on the web. In a nutshell, we describe a system that offers learners the possibility of engaging with difficult scientific and mathematical ideas without the necessity of interacting with complex layers of symbolic code – while making that interaction available at all times.


Vertical Velocity Virtual Teammate Code Fragment Primitive Notion Program Fragment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ken Kahn
    • 1
  • Richard Noss
    • 1
  • Celia Hoyles
    • 1
  • Duncan Jones
    • 2
  1. 1.London Knowledge Lab, Institute of EducationLondonUK
  2. 2. 

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