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Communication dans un congrès

ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies

Abstract : ReaderBench is a multi-purpose, multi-lingual and flexible environment that enables the assessment of a wide range of learners' productions and their manipulation by the teacher. ReaderBench allows the assessment of three main textual features: cohesion-based assessment, reading strategies identification and textual complexity evaluation, which have been subject to empirical validations. ReaderBench covers a complete cycle, from the initial complexity assessment of reading materials, the assignment of texts to learners, the capture of metacognitions reflected in one's textual verbalizations and comprehension evaluation, therefore fostering learner's self-regulation process.
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https://hal.archives-ouvertes.fr/hal-00871568
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Soumis le : mardi 26 juin 2018 - 13:52:33
Dernière modification le : vendredi 27 mars 2020 - 10:31:12
Document(s) archivé(s) le : mercredi 26 septembre 2018 - 19:04:02

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Mihai Dascalu, Philippe Dessus, Stefan Trausan-Matu, Maryse Bianco, Aurélie Nardy, et al.. ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies. AIED 13 - 16th International Conference on Artificial Intelligence in Education, Jul 2013, Memphis, TN, United States. pp.379-388, ⟨10.1007/978-3-642-39112-5_39⟩. ⟨hal-00871568⟩

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