Automated analysis of pupils' self-explanations of a narrative text

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Philippe Dessus et al., « Automated analysis of pupils' self-explanations of a narrative text », HAL-SHS : sciences de l'éducation, ID : 10670/1.5d2kpu


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We present a method devised to automatically analyze pupils' verbalizations during reading and to reveal some of the strategies they use. An experiment with 44 primary school pupils (3rd and 5th grade) reading a narrative text and verbalizing what they understood at predefined breaks showed, firstly, that machine results are correlated with experts'; secondly, that the recall of recent sentences is not uniform across verbalizations and subject to a grade effect; thirdly, that there is a grade effect in the recall of distal causal sentences.

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