Mining texts, learners productions and strategies with ReaderBench - Archive ouverte HAL Access content directly
Book Sections Year : 2014

Mining texts, learners productions and strategies with ReaderBench


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
Origin : Files produced by the author(s)

Dates and versions

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



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⟩
205 View
273 Download



Gmail Facebook Twitter LinkedIn More