Mining texts, learners productions and strategies with ReaderBench - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2014

Mining texts, learners productions and strategies with ReaderBench

Résumé

The chapter introduces ReaderBench, a multi-lingual and flexible environment that integrates text mining technologies for assessing a wide range of learners' productions and for supporting teachers in several ways. ReaderBench offers three main functionalities in terms of text analysis: cohesion-based assessment, reading strategies identification and textual complexity evaluation. All of these have been subject to empirical validations. ReaderBench may be used throughout an entire educational scenario, starting from the initial complexity assessment of the reading materials, the assignment of texts to learners, the detection of reading strategies reflected in one's self-explanations, and comprehension evaluation fostering learner's self-regulation process.
Fichier principal
Vignette du fichier
EDM_04_full_chapter.pdf (1.48 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00979702 , version 1 (22-06-2018)

Identifiants

Citer

Mihai Dascalu, Philippe Dessus, Maryse Bianco, Stefan Trausan-Matu, Aurélie Nardy. Mining texts, learners productions and strategies with ReaderBench. Alejandro Pena-Ayala. Educational Data Mining: Applications and Trends, Springer, pp.345-377, 2014, ⟨10.1007/978-3-319-02738-8_13⟩. ⟨hal-00979702⟩
218 Consultations
343 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More