D. S. Mcnamara, SERT: Self-Explanation Reading Training, Discourse Processes, vol.79, issue.1, pp.1-30, 2004.
DOI : 10.1006/ceps.1993.1005

D. S. Mcnamara, I. Levinstein, and C. Boonthum, iSTART: Interactive strategy training for active reading and thinking, Behavior Research Methods, Instruments, & Computers, vol.79, issue.2, pp.222-233, 2004.
DOI : 10.3758/BF03195567

K. Millis, J. P. Magliano, K. Wiemer-hastings, S. Todaro, and D. S. Mcnamara, Assessing and Improving Comprehension With Latent Semantic Analysis, Handbook of Latent Semantic Analysis, pp.207-225, 2007.
DOI : 10.4324/9780203936399.ch11

D. S. Mcnamara, T. P. O-'reilly, R. M. Best, and Y. Ozuru, IMPROVING ADOLESCENT STUDENTS' READING COMPREHENSION WITH iSTART, Journal of Educational Computing Research, vol.34, issue.2, pp.147-171, 2006.
DOI : 10.2190/1RU5-HDTJ-A5C8-JVWE

G. T. Jackson and D. S. Mcnamara, Motivation and performance in a game-based intelligent tutoring system., Journal of Educational Psychology, vol.105, issue.4, pp.1036-1049, 2013.
DOI : 10.1037/a0032580

D. S. Mcnamara and J. P. Magliano, Self-explanation and metacognition Handbook of metacognition in education, Erlbaum, pp.60-81, 2009.

M. Dascalu, P. Dessus, M. Bianco, S. Trausan-matu, and A. Nardy, Mining Texts, Learner Productions and Strategies with ReaderBench, Educational Data Mining: Applications and Trends. SCI, pp.345-377, 2014.
DOI : 10.1007/978-3-319-02738-8_13

M. Dasc?lu, Analyzing Discourse and Text Complexity for Learning and Collaborating, SCI, vol.534, 2014.
DOI : 10.1007/978-3-319-03419-5

S. Nash-ditzel, Metacognitive Reading Strategies Can Improve Self-Regulation, Journal of College Reading and Learning, vol.28, issue.2, pp.45-63, 2010.
DOI : 10.1080/10790195.2010.10850330

M. Dasc?lu, S. Trausan-matu, and P. Dessus, Towards an Integrated Approach for Evaluating Textual Complexity for Learning Purposes, ICWL 2012, pp.268-278, 2012.
DOI : 10.1007/978-3-642-33642-3_29

M. Dascalu, P. Dessus, ?. Trausan-matu, M. Bianco, and A. Nardy, ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies, AIED 2013, pp.379-388, 2013.
DOI : 10.1007/978-3-642-39112-5_39

URL : https://hal.archives-ouvertes.fr/hal-00871568

C. Cortes and V. N. Vapnik, Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995.
DOI : 10.1007/BF00994018

T. A. Van-dijk and W. Kintsch, Strategies of discourse comprehension, 1983.

M. Dascalu, P. Dessus, M. Bianco, and S. Trausan-matu, Are Automatically Identified Reading Strategies Reliable Predictors of Comprehension?, ITS 2014, pp.456-465, 2014.
DOI : 10.1007/978-3-319-07221-0_57

URL : https://hal.archives-ouvertes.fr/hal-01390231

A. Budanitsky and G. Hirst, Evaluating WordNet-based Measures of Lexical Semantic Relatedness, Computational Linguistics, vol.17, issue.1, pp.13-47, 2006.
DOI : 10.1016/S0022-5371(79)90604-2

T. K. Landauer and S. T. Dumais, A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge., Psychological Review, vol.104, issue.2, pp.211-240, 1997.
DOI : 10.1037/0033-295X.104.2.211

D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent Dirichlet Allocation, Journal of Machine Learning Research, vol.3, pp.4-5, 2003.

D. E. Powers, J. Burstein, M. Chodorow, M. E. Fowles, and K. Kukich, Stumping e-rater®: Challenging the validity of automated essay scoring, ETS, 2001.

B. J. Grosz, S. Weinstein, and A. K. Joshi, Centering: a framework for modeling the local coherence of discourse, Computational Linguistics, vol.21, issue.2, pp.203-225, 1995.

J. Nelson, C. Perfetti, D. Liben, and M. Liben, Measures of text difficulty Council of Chief State School Officers, 2012.

M. Dascalu, L. L. Stavarache, S. Trausan-matu, P. Dessus, and M. Bianco, Reflecting Comprehension through French Textual Complexity Factors, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence, pp.615-619, 2014.
DOI : 10.1109/ICTAI.2014.97

URL : https://hal.archives-ouvertes.fr/hal-01083594

E. Page, The imminence of grading essays by computer, Phi Delta Kappan, vol.47, pp.238-243, 1966.

A. Housen and F. Kuiken, Complexity, Accuracy, and Fluency in Second Language Acquisition, Applied Linguistics, vol.30, issue.4, pp.461-473, 2009.
DOI : 10.1093/applin/amp048

A. Nardy, M. Bianco, F. Toffa, M. Rémond, and P. Dessus, Contrôle et régulation de la compréhension, apprentissage de la Lecture: Convergences , Innovations, Perspectives, p.16

J. Bergstra and Y. Bengio, Random Search for Hyper-Parameter Optimization, The Journal of Machine Learning Research, vol.13, pp.281-305, 2012.

R. W. Todd, S. Khongput, and P. Darasawang, Coherence, cohesion and comments on students??? academic essays, Assessing Writing, vol.12, issue.1, pp.10-25, 2007.
DOI : 10.1016/j.asw.2007.02.002