%0 Book Section %1 citeulike:12476770 %A Dascalu, Mihai %A Dessus, Philippe %A Trausan-Matu, Stefan %A Bianco, Maryse %A Nardy, Aurélie %B Artificial Intelligence in Education %D 2013 %E Lane, H. Chad %E Yacef, Kalina %E Mostow, Jack %E Pavlik, Philip %I Springer Berlin Heidelberg %K jgpaws text-analysis text-complexity %P 379--388 %R 10.1007/978-3-642-39112-5_39 %T ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies %U http://dx.doi.org/10.1007/978-3-642-39112-5_39 %V 7926 %X 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.

@incollection{citeulike:12476770, 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.}}, added-at = {2018-03-19T12:24:51.000+0100}, author = {Dascalu, Mihai and Dessus, Philippe and Trausan-Matu, \c{S}tefan and Bianco, Maryse and Nardy, Aur\'{e}lie}, biburl = {https://www.bibsonomy.org/bibtex/2682307c04eefe03fcf0aeeb8a273ff85/aho}, booktitle = {Artificial Intelligence in Education}, citeulike-article-id = {12476770}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-39112-5_39}, citeulike-linkout-1 = {http://link.springer.com/chapter/10.1007/978-3-642-39112-5_39}, comment = {Deep analysis of text in SCSL - with focus on complexity}, doi = {10.1007/978-3-642-39112-5_39}, editor = {Lane, H. Chad and Yacef, Kalina and Mostow, Jack and Pavlik, Philip}, interhash = {840a075d08b5a10d3ec99f4c9e8d4c9d}, intrahash = {682307c04eefe03fcf0aeeb8a273ff85}, keywords = {jgpaws text-analysis text-complexity}, pages = {379--388}, posted-at = {2013-07-12 17:15:58}, priority = {2}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies}}, url = {http://dx.doi.org/10.1007/978-3-642-39112-5_39}, volume = 7926, year = 2013 }