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This is a session of Topic 7: Technology in Statistics education             Full topic list


(Thursday 6th, 14:00-15:30)

Principles and theories for the design of learning technologies


Organiser


Abstract

Technology seems to have a special role in the teaching and learning of statistics and probability. Affordances of computers for learners include inter alia:
  • dynamic representations of concepts such as distribution, average, spread
  • ability to process large data sets rapidly
  • interactive facilties that can support exploration and the testing of conjectures.

This special relationship has led in the last decade to the development of quite a range of technical systems and microworlds to support teaching and learning of stochastic ideas. We now find ourselves in a position to reflect on that development and to identify principles and new theories that can inform future design of learning technologies.

This session will offer the opportunity for delegates to hear, contrast and discuss ideas on this topic from a range of workers in the field. Delegates may wish to consider how affordances such as those above can best be exploited in the name of teaching and learning stochastics.

Papers

PaperTitlePresenter(s) / Author(s)
7F1An elaboration of the design construct of phenomenalisationDavid Pratt (England)
Ian Jones
Theodosia Prodromou
7F3Learning chance: lessons from a learning-axes and bridging-tools perspectiveDor Abrahamson (United States)