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Background
Poor text comprehension in children of 7-11 years old is a
matter of concern in schools that is recognised by
teachers. Some children learn to decode accurately but then find
comprehension difficult; they can read words but find it
difficult to understand them. This tends to make reading less
enjoyable which can reduce a child's motivation to read. This
can significantly affect subsequent reading development.
Nicola Yuill has established a relationship between
comprehension skill and language awareness (e.g. Yuill under
review), assessed through children's understanding of
riddles. It showed that poor comprehenders find it difficult to
understand why jokes and riddles are funny. For example, in the
joke:
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Why do leopards never escape from zoos?
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Because they are always spotted.
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the word spotted has a second, unexpected meaning. It is
this that makes the joke funny. Arriving at this second
interpretation is difficult for poor comprehenders. As a result,
research investigated the link between riddle disambiguation and
the development of comprehension skill. Software presented
riddles to pairs of children and they were invited to discuss
different interpretations in order to 'get the joke'. Pilot
work showed that children's reading comprehension scores
improved after interaction with the system.
Project Aims
The project team is multidisciplinary, drawing upon expertise in
the fields of psychology (Nicola Yuill, Cindy Kerawalla and
Amanda Harris), Human-Centred Technology (Rose Luckin) and
computer science and linguistics (Darren Pearce). The overall
aim of the Riddles project is to bring together ideas from all
these fields to develop new software that can be used by pairs
of children to improve their reading comprehension. The software
will include many innovative features including:
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The presentation of jokes using not just text and static
graphics but also animation and sound.
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Interaction with jokes will take place within a narrative to
encourage more active engagement.
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Software scaffolding. Building upon previous work by Rose
Luckin (e.g. Luckin 1999), the children's performance will be
monitored and modelled by the system at all stages. This means
that their progression through the narrative can be scaffolded
and the level of help they receive tailored to their specific
learning needs.
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Computer-mediated peer discussion. The system will also model
and scaffold peer collaboration which is particularly
challenging; as much as possible, the system must be able to
derive salient information from collaboration between the
children.
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