Learning to write with a robot
The CoWriter Project and its active follow-up iReCHeCk aim at exploring how a robot can help children with the acquisition of handwriting, with an original approach: the children are the teachers who help the robot to write better! This paradigm, known as learning by teaching , has several powerful effects: it boosts the children’ self-esteem (which is especially important for children with handwriting difficulties), it gets them to practice hand-writing without even noticing, and it engages them into a particular interaction with the robot called the Protégé effect : because they unconsciously feel that they are somehow responsible if the robot does not succeed in improving its writing skills, they commit to the interaction , and make particular efforts to figure out what is difficult for the robot, thus developing their metacognitive skills and reflecting on their own errors .
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The BHK test
Handwriting disorder (termed dysgraphia) is a far from a singular
problem as nearly 8.6% of the population in France is considered
dysgraphic. With the increase of cognitive demands of school work,
handwriting rapidly becomes a limiting task for these children, who
cannot handle simultaneous tasks such as handwriting, grammar,
orthography, and composition, and who may thus rapidly face general
learning difficulties. It is therefore crucial to detect and remediate
handwriting difficulties as soon as possible.
At the moment, the detection of dysgraphia is performed through a standard test called BHK. This detection is laborious because of its high cost and subjectivity.
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