A. J. Berlanga, M. Kalz, S. Stoyanov, P. Van-rosmalen, A. Smithies et al., Using Language Technologies to Diagnose Learner´s Conceptual Development, The 9 th IEEE International Conference on Advanced Learning Technologies, 2009.

M. Kalz, A. J. Berlanga, P. Van-rosmalen, S. Stoyanov, J. Van-bruggen et al., Semantic Networks as Means for Goal Directed Formative Feedback, Kreativität und Innovationskompetenz im digitalen Netz -Creativity and Innovation Competencies in the Web, Sammlung von ausgewählten Fach-und Praxisbeiträgen der 5. EduMedia Fachtagung, pp.88-95, 2009.

H. P. Boshuizen and H. G. Schmidt, On the Role of Biomedical Knowledge in Clinical Reasoning by Experts, Intermediates and Novices, Cognitive Science, vol.108, issue.5, pp.153-184, 1992.
DOI : 10.1207/s15516709cog1602_1

A. J. Arts, W. H. Gijselaers, and H. Boshuijzen, Understanding managerial problem-solving, knowledge use and information processing: Investigating stages from school to the workplace, Contemporary Educational Psychology, vol.31, issue.4, pp.387-410, 2006.
DOI : 10.1016/j.cedpsych.2006.05.005

H. P. Boshuizen and H. G. Schmidt, The development of clinical reasoning expertise: Implications for teaching, Clinical reasoning in the health professions, 2008.

M. Van, Knowledge Encapsulation. Studies on the development of medical expertise Unpublished PhD dissertation, 1996.

F. Nievelstein, T. Van-gog, H. P. Boshuizen, and F. J. Prins, Expertise-related differences in conceptual and ontological knowledge in the legal domain, European Journal of Cognitive Psychology, vol.7, issue.6, pp.1043-1064, 2008.
DOI : 10.1023/A:1008251913710

R. J. Dufresne, W. J. Gerace, P. Thibodeau-hardiman, and J. P. Mestre, Constraining Novices to Perform Expertlike Problem Analyses: Effects on Schema Acquisition, Journal of the Learning Sciences, vol.59, issue.3, pp.307-331, 1992.
DOI : 10.1016/S0022-5371(80)90343-6

M. W. Van-de-wiel, H. G. Schmidt, and H. P. Boshuizen, Knowledge restructuring in expertise development: Evidence from pathophysiological representations of clinical cases by students and physicians, European Journal of Cognitive Psychology, vol.12, issue.3, pp.323-355, 2000.
DOI : 10.1207/S15328015TL110306

R. Clariana and P. Wallace, A Computer-Based Approach for Deriving and Measuring Individual and Team Knowledge Structure from Essay Questions, Journal of Educational Computing Research, vol.30, issue.5, pp.211-227, 2007.
DOI : 10.1080/01638539809545028

V. J. Shute, A. C. Jeong, J. M. Spector, N. M. Seel, and T. E. Johnson, Model-Based Methods for Assessment, Learning, and Instruction: Innovative Educational Technology at Florida State University, 2009.
DOI : 10.1007/978-0-387-09675-9_5

A. E. Smith and M. S. Humphreys, Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping, Behavior Research Methods, vol.84, issue.2, pp.262-279, 2006.
DOI : 10.3758/BF03192778

T. E. Goldsmith, P. J. Johnson, and W. H. Acton, Assessing structural knowledge., Journal of Educational Psychology, vol.83, issue.1, pp.88-96, 1991.
DOI : 10.1037/0022-0663.83.1.88

D. H. Jonassen, K. Beissner, and M. Yacci, Structural knowledge: techniques for representing, conveying, and acquiring structural knowledge, 1993.

J. Nesbit and O. Adesope, Learning With Concept and Knowledge Maps: A Meta-Analysis, Review of Educational Research, vol.76, issue.3, pp.413-448, 2006.
DOI : 10.3102/00346543076003413

J. D. Novak, Learning, creating and using knowledge: concept maps as facilitative tools in schools and corporations, 1998.

D. Jonassen, T. Reeves, N. Hong, D. Harvey, and K. Peter, Concept mapping as cognitive learning and assessment tools, Journal of interactive learning research, vol.8, pp.289-308, 1997.

R. Clariana, R. Koul, and R. Salehi, The criterion-related validity of a computer-based approach for scoring concept maps, International Journal of Instructional Media, vol.33, pp.317-325, 2006.

D. Ifenhaler and N. M. Seel, The measurement of change: learning-dependent progression of mental models, Technology, Instruction, Cognition and Learning, vol.2, pp.317-336, 2005.

P. Pirnay-dummer, Expertise and model building. MITOCAR," Freiburg: Unpublished doctoral dissertation, 2006.

J. M. Spector and T. A. Koszalka, The DEEP methodology for assessing learning in complex domains, 2004.

R. Clariana and R. Koul, A computer-based approach for translating text into concept map-like representations, Proceedings of the First International Conference on Concept Mapping, pp.131-134, 2004.

I. Fischer and A. Zell, Processing Symbolic Data with Self-Organizing Maps, Workshop SOAVE, 2000.

L. I. Levenshtein, Binary codes capable of correcting deletions, insertions and reversals, Soviet Physics-Doklady, vol.10, issue.8, 1966.

T. Kohonen, Self-Organization and Associative Memory, Series in Information Sciences, 1988.

R. A. Wagner and M. J. Fischer, The String-to-String Correction Problem, Journal of the ACM, vol.21, issue.1, pp.168-173, 1974.
DOI : 10.1145/321796.321811

F. Petroni and M. Serva, Language distance and tree reconstruction Journal of Statistical Mechanics: Theory and Experiment, 2008.

M. Brysbaert and T. Nazir, Visual constraints in written word recognition: evidence from the optimal viewing-position effect, Journal of Research in Reading, vol.7, issue.3, pp.216-228, 2005.
DOI : 10.1016/S0093-934X(03)00160-3

URL : https://hal.archives-ouvertes.fr/hal-01086622

D. Drieghe and M. Brysbaert, Strategic effects in associative priming with words, homophones, and pseudohomophones., Journal of Experimental Psychology: Learning, Memory, and Cognition, vol.28, issue.5, pp.951-961
DOI : 10.1037/0278-7393.28.5.951

M. W. Harm and M. S. Seidenberg, Computing the Meanings of Words in Reading: Cooperative Division of Labor Between Visual and Phonological Processes., Psychological Review, vol.111, issue.3, pp.662-720, 2004.
DOI : 10.1037/0033-295X.111.3.662

J. Grainger and C. Whitney, Does the huamn mnid raed wrods as a whole? Trends in Cognitive Science, pp.58-59

C. Pollard and I. A. Sag, Information-based Syntax and Semantics, 1987.

W. D. Meurers, Towards a semantics for lexical rules as used in HPSG, 1995.

W. D. Meurers and G. Minnen, A computational treatment of lexical rules in HPSG as covariation in lexical entries, Association for Computational Linguists, 1997.

M. Dickinson and W. D. Meurers, Detecting errors in part-of-speech annotation, Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics , EACL '03, pp.107-114, 2003.
DOI : 10.3115/1067807.1067823

]. B. Bloom, The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring, Educational Researcher, vol.13, issue.6, pp.4-16, 1984.
DOI : 10.3102/0013189X013006004

A. Corbett, Cognitive Computer Tutors: Solving the Two-Sigma Problem, Proceedings of the Eighth International Iser Modelling Conference, pp.137-147, 2001.
DOI : 10.1007/3-540-44566-8_14

T. H. Michelene, S. A. Chi, H. Siler, T. Jeong, R. G. Yamauchi et al., Learning from human tutoring, Cognitive Science, vol.25, pp.471-533, 2001.

M. Chi, M. Roy, and R. Hausmann, Observing Tutorial Dialogues Collaboratively: Insights About Human Tutoring Effectiveness From Vicarious Learning, Cognitive Science: A Multidisciplinary Journal, vol.32, issue.2, pp.301-341, 2008.
DOI : 10.1080/03640210701863396

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.4906

C. Arthur, N. Graesser, J. P. Person, and . Magliano, Collaborative dialogue patterns in naturalistic one-to-one tutoring, Applied Cognitive Psychology, vol.9, pp.495-522, 1995.

K. Forbes-riley, D. Litman, A. Huettner, and A. Ward, Dialogue-learning correlations in spoken dialogue tutoring, Proceedings 12th International Conference on Artificial Intelligence Education (AIED), 2005.

A. Ward and D. Litman, Cohesion and learning in a tutorial spoken dialog system, Proceedings of the 19th International FLAIRS Conference (FLAIRS-19), pp.533-538, 2006.

A. Ward and D. Litman, Semantic Cohesion and Learning, Proceedings 9th International Conference on Intelligent Tutoring Systems (ITS), pp.459-469, 2008.
DOI : 10.1007/978-3-540-69132-7_49

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.6660

R. A. Zwaan and G. A. Radvansky, Situation models in language comprehension and memory., Psychological Bulletin, vol.123, issue.2, pp.162-185, 1998.
DOI : 10.1037/0033-2909.123.2.162

D. S. Mcnamara and W. Kintsch, Learning from texts: Effects of prior knowledge and text coherence, Discourse Processes, pp.247-287, 1996.
DOI : 10.1080/01638539609544975

D. Mcnamara, Reading both high-coherence and low-coherence texts: Effects of text sequence and prior knowledge., Canadian Journal of Experimental Psychology/Revue canadienne de psychologie exp??rimentale, vol.55, issue.1, pp.51-62, 2001.
DOI : 10.1037/h0087352

H. Hebert, S. A. Clark, and . Brennan, Grounding in communication, Perspectives on socially shared cognition, 1991.

A. Peter, G. Heeman, and . Hirst, Collaborating on referring expressions, Computational Linguistics, vol.21, pp.351-382, 1995.

J. Martin, S. Pickering, and . Garrod, Toward a mechanistic psychology of dialogue, Behavioral and Brain Sciences, 2004.

S. Katz, D. Allbritton, and J. Connelly, Going Beyond the Problem Given: How Human Tutors Use Post-practice Discussions to Support Transfer, International Journal of Artificial Intelligence in Education, vol.13, pp.79-116, 2003.
DOI : 10.1007/3-540-47987-2_65

K. Vanlehn, C. Lynch, K. Schulze, J. A. Shapiro, R. Shelby et al., The andes physics tutoring system: Lessons learned, International Journal of Artificial Intelligence and Education, vol.15, pp.147-204, 2005.

S. Barnett and S. Ceci, When and where do we apply what we learn?: A taxonomy for far transfer., Psychological Bulletin, vol.128, issue.4, pp.612-637, 2002.
DOI : 10.1037/0033-2909.128.4.612

R. Azevedo and &. M. Bernard, A Meta-Analysis of the Effects of Feedback in Computer-Based Instruction, Journal of Educational Computing Research, vol.28, issue.3, pp.111-127, 1995.
DOI : 10.2190/9LMD-3U28-3A0G-FTQT

A. C. Graesser, D. S. Mcnamara, and &. K. Vanlehn, Scaffolding Deep Comprehension Strategies Through Point&Query, AutoTutor, and iSTART, Educational Psychologist, vol.16, issue.4, pp.225-234, 2005.
DOI : 10.1207/s15327809jls0201_1

D. S. Mcnamara, C. Boonthum, I. B. Levinstein, and &. K. Millis, Evaluating Self-Explanations in iSTART, pp.227-241, 2007.
DOI : 10.4324/9780203936399.ch12

K. R. Koedinger and &. J. Anderson, Intelligent tutoring goes to school in the big city, International Journal of Artificial Intelligence in Education, vol.8, pp.30-43, 1997.
URL : https://hal.archives-ouvertes.fr/hal-00197383

T. Landauer, D. S. Mcnamara, and S. Dennis, Kintsch eds, Handbook of Latent Semantic Analysis, 2007.

D. S. Mcnamara and I. B. Levinstein, 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

V. Rus, M. Lintean, P. M. Mccarthy, D. S. Mcnamara, and &. A. Graesser, Paraphrase identification with lexico-syntactic graph subsumption, Proceedings of the 21 st International Florida Artificial Intelligence Research Society Conference, pp.201-206, 2008.

P. W. Foltz, S. Gilliam, and &. S. Kendall, Supporting Content-Based Feedback in On-Line Writing Evaluation with LSA, Interactive Learning Environments, vol.8, issue.2, pp.111-129, 2000.
DOI : 10.1076/1049-4820(200008)8:2;1-B;FT111

P. W. Foltz and &. D. Wells, Automatically deriving readers??? knowledge structures from texts, Behavior Research Methods, Instruments, & Computers, vol.39, issue.2, pp.208-214, 1999.
DOI : 10.3758/BF03207712

V. Rus, P. M. Mccarthy, D. S. Mcnamara, and &. A. Graesser, Natural Language Understanding and Assessment, Encyclopedia of Artificial Intelligence, pp.1179-1184, 2008.
DOI : 10.4018/978-1-59904-849-9.ch172

D. Fossati and &. , Di Eugenio, I saw TREE trees in the park: How to correct real-word spelling mistakes, Proceedings of the 6th International Conference on Language Resources and Evaluation, pp.896-901, 2008.

M. A. Elmi and &. M. Evens, Spelling correction using context, Proceedings of the 17th International Conference on Computational Linguistics, pp.360-364, 1998.
DOI : 10.3115/980845.980906

URL : http://acl.ldc.upenn.edu/C/C98/C98-1057.pdf

P. M. Mccarthy, V. Rus, S. A. Crossley, S. C. Bigham, A. C. Graesser et al., Assessing entailer with a corpus of natural language, Proceedings of the 20th International Florida Artificial Intelligence Research Society Conference, pp.247-252, 2007.

K. Vanlehn, A. C. Graesser, G. T. Jackson, P. Jordan, A. Olney et al., When Are Tutorial Dialogues More Effective Than Reading?, Cognitive Science, vol.1, issue.3, pp.31-34, 2007.
DOI : 10.1080/03640210709336984

D. Schneider and &. F. Mccoy, Recognizing Syntactic Errors in the Writing of Second Language Learners, Proceedings of the 36 th Annual Meeting of the Association for Computational Linguistics and the 17 th International Conference on Computational Linguistics, pp.1198-1204, 1998.

K. Vanlehn, P. W. Jordan, C. P. Rosé, D. Bhembe, M. Böttner et al., The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing, Proceedings of the Intelligent Tutoring Systems Conference, pp.159-167, 2002.
DOI : 10.1007/3-540-47987-2_20

P. M. Mccarthy and &. S. Mcnamara, The user-language paraphrase challenge. https://umdrive.memphis, 2008.

A. M. Renner, P. M. Mccarthy, and &. D. Mcnamara, Computational considerations in correcting userlanguage in an ITS environment, Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, pp.278-283, 2009.

D. E. Knuth, The art of computer programming Sorting and searching, 1998.

J. Foster and &. C. Vogel, Parsing Ill-Formed Text Using an Error Grammar, Artificial Intelligence Review, vol.21, issue.3/4, pp.269-291, 2003.
DOI : 10.1023/B:AIRE.0000036259.68818.1e

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.8464

M. References, W. Ahat, H. Lenhart, Y. V. Baier, S. Hoareau et al., Le concours DEFT'07 envisagé du point de vue de l'Analyse de la Sémantique Latente (LSA), Proceedings of the conference DEFT'07 Les modèles vectoriels de la mémoire sémantique : description, validation et perspectives, Le Langage et L'Homme, pp.34-101, 2004.

S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and &. R. Harshman, Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.41-391, 1990.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.8490

D. L. Hintzman, MINERVA 2: A simulation model of human memory, Behavior Research Methods, Instruments, &amp Computers, vol.7, issue.2, pp.96-101, 1984.
DOI : 10.3758/BF03202365

D. L. Hintzman, Judgments of frequency and recognition memory in a multiple-trace memory model., Psychological Review, vol.95, issue.4, pp.528-551, 1988.
DOI : 10.1037/0033-295X.95.4.528

P. Kanerva, J. Kristoferson, and &. A. Holst, Random Indexing of Text Samples for Latent Semantic Analysis, Proceedings of the 22nd Annual Conference of the Cognitive Science Society, 2000.

J. Karlgren and &. M. Sahlgren, From Words to Understanding Foundations of Real-World Intelligence The role of knowledge in discourse comprehension : a construction-integration model, Psychological Review, pp.95-163, 1988.

W. T. Kintsch and . Landauer, LSA as a Theory of Meaning The Handbook of Latent Semantic AnalysisDumais, A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge, Psychological Review, vol.104, pp.211-240, 1997.

T. K. Landauer, P. W. Foltz, and &. D. Laham, An introduction to latent semantic analysis, Discourse Processes, pp.259-284, 1998.
DOI : 10.1080/01638539809545030

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.109

J. F. Quesada, W. Kintsch, and &. E. Gomez, A theory of Complex Problem Solving using Latent Semantic Analysis, Proceedings of the 24th Annual Conference of the Cognitive Science Society, 2002.

E. H. Rosch and &. C. Mervis, Family resemblances: Studies in the internal structure of categories, Cognitive Psychology, vol.7, issue.4, pp.573-605, 1975.
DOI : 10.1016/0010-0285(75)90024-9

S. Rousset, Les conceptions "système unique" de la mémoire : aspect théorique, pp.30-56, 2000.

M. Sahlgren, The Word-Space Model: Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces, 2006.

M. Sahlgren and &. R. Cöster, Using bag-of-concepts to improve the performance of support vector machines in text categorization, Proceedings of the 20th international conference on Computational Linguistics , COLING '04, 2004.
DOI : 10.3115/1220355.1220425