ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies

Mihai Dascalu; Philippe Dessus; Stefan Trausan-Matu; Maryse Bianco; Aurélie Nardy; Mihai Dascălu; Ștefan Trăușan-Matu

doi:10.1007/978-3-642-39112-5_39

Communication dans un congrès

ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies

Mihai Dascalu ^{1, 2} Philippe Dessus ^{3, 2} Stefan Trausan-Matu ¹ Maryse Bianco ² Aurélie Nardy ² Mihai Dascălu ⁴ Ștefan Trăușan-Matu ⁴

1 Computer Science Department [Bucarest]

2 LSE - Laboratoire des Sciences de l'Éducation (Grenoble)

3 MeTAH

LIG - Laboratoire d'Informatique de Grenoble, LSE - Laboratoire des Sciences de l'Éducation (Grenoble)

4 "Politehnica" Université de Bucarest, Roumanie

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.

Keywords : Latent Dirichlet Allocation Support Vector Machines Latent Semantic Analysis Textual Complexity Reading Strategies Text Cohesion

Type de document :

Communication dans un congrès

Domaine :

Informatique [cs] / Environnements Informatiques pour l'Apprentissage Humain

Sciences de l'Homme et Société / Education

Liste complète des métadonnées

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https://hal.archives-ouvertes.fr/hal-00871568
Contributeur : Denis Bouhineau <>
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Dernière modification le : jeudi 19 novembre 2020 - 13:01:18
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