A. Bouzeghoub and A. Elbyed, Ontology Mapping for Learning Objects Repositories Interoperability (English), In Lect. notes comput. sci, pp.794-797, 2006.
DOI : 10.1007/11774303_103

A. Bouzeghoub, B. Defude, J. Duitama, and C. Lecocq, Un modèle de description sémantique de ressources pédagogiques basé sur une ontologie de domaine, Sciences et Technologies de l'Information et de la Communication pour l'Éducation et la Formation (STICEF), p.17, 2005.

F. Castro and M. A. Alonso, Learning Objects and Ontologies to Perform Educational Data Mining, pp.532-536, 2011.

M. T. Chi, M. Bassok, M. W. Lewis, P. Reimann, and R. Glaser, Self-Explanations: How Students Study and Use Examples in Learning to Solve Problems, Cognitive Science, vol.2, issue.2, pp.145-182, 1989.
DOI : 10.1207/s1532690xci0201_3

URL : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA187035

M. T. Chi, P. J. Feltovich, and R. Glaser, Categorization and Representation of Physics Problems by Experts and Novices*, Cognitive Science, vol.5, issue.2, pp.121-152, 1981.
DOI : 10.1016/0010-4809(72)90065-1

URL : http://onlinelibrary.wiley.com/doi/10.1207/s15516709cog0502_2/pdf

C. Chiou, Effects of concept mapping strategy on learning performance in business and economics statistics, Teaching in Higher Education, pp.55-69, 2009.

C. Chiou, Y. Wang, and L. Lee, Reducing Statistics Anxiety and Enhancing Statistics Learning Achievement: Effectiveness of a One-Minute Strategy, Psychological Reports, vol.90, issue.5, pp.297-310, 2014.
DOI : 10.1111/j.2044-8279.1991.tb00989.x

O. Corcho, M. Fernández-lópez, A. Gómez-pérez, and A. López-cima, Building Legal Ontologies with METHONTOLOGY and WebODE, Law and the Semantic Web, pp.142-157, 2005.
DOI : 10.1007/978-3-540-32253-5_9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.6681

P. Cravalho, Learning Statistics using Concept Maps: Effects on Anxiety and Performance (master thesis), 2010.

N. Ford, D. Miller, and N. Moss, The role of individual differences in Internet searching: An empirical study, Journal of the American Society for Information Science and Technology, issue.12, pp.52-1049, 2001.

A. Gonzalez-beltran, P. Rocca-serra, O. Burke, and S. Sansone, stato-ontology.org. Consulté, 2014.

W. Guo and D. Chen, An Ontology Infrastructure for an E-Learning Scenario, International Journal of Distance Education Technologies, vol.5, issue.1, pp.70-78, 2007.
DOI : 10.4018/jdet.2007010106

L. Holman, Millennial Students' Mental Models of Search: Implications for Academic Librarians and Database Developers, The Journal of Academic Librarianship, vol.37, issue.1, pp.19-27, 2011.
DOI : 10.1016/j.acalib.2010.10.003

Y. Isaac, Y. Bourda, and M. Grandbastien, SemUNIT -French UNT and Linked Data, Présenté à LiLe-2012 at WWW-2012, CEUR workshop proceedings, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00701152

L. R. Johnson and U. D. Karunakaran, How to Choose the Appropriate Statistical Test Using the Free Program « Statistics Open For All » (SOFA), Annals of Community Health, vol.2, issue.2, pp.54-62, 2014.

K. Kinley, D. Tjondronegoro, H. Partridge, and S. Edwards, Modeling users' web search behavior and their cognitive styles, Journal of the Association for Information Science and Technology, vol.22, issue.2, pp.65-1107, 2014.
DOI : 10.1177/016555159602200201

URL : http://eprints.qut.edu.au/65625/1/jasist_accepted.pdf

J. Meunier, Des préconceptions en statistiques des étudiants de psychologie à la conception d'un EIAH, Présenté à Journée d'étude « Recherche sur la cognition pour les EIAH », 2008.

A. J. Nitko and S. Lane, Solving Problems Is Not Enough: Assessing and Diagnosing the Ways in Which Students Organize Statistical Concepts, 1990.

A. J. Onwuegbuzie, Modeling Statistics Achievement among Graduate Students, Educational and Psychological Measurement, vol.63, issue.6, pp.1020-1038, 2003.
DOI : 10.1111/j.2044-8279.1991.tb00989.x

J. L. Quilici and R. E. Mayer, Role of examples in how students learn to categorize statistics word problems., Journal of Educational Psychology, vol.88, issue.1, pp.144-161, 1996.
DOI : 10.1037/0022-0663.88.1.144

J. L. Quilici and R. E. Mayer, Teaching students to recognize structural similarities between statistics word problems, Applied Cognitive Psychology, vol.18, issue.3, pp.325-341, 2002.
DOI : 10.1207/s15328023top1804_4

M. Richard, X. Aimé, M. Krebs, and J. Charlet, LOVMI : vers une méthode interactive pour la validation d'ontologies. Présenté à Plate-forme Intelligence articielle, 2015.

L. Roberts, Using concept maps to measure statistical understanding, International Journal of Mathematical Education in Science and Technology, vol.7, issue.5, pp.707-717, 1999.
DOI : 10.1002/sce.3730780102

L. Romero, M. North, M. Gutiérrez, and L. Caliusco, Pedagogically-Driven Ontology Network for Conceptualizing the e-Learning Assessment Domain, Journal of Educational Technology & Society, vol.18, issue.4, pp.312-330, 2015.
DOI : 10.9781/ijimai.2012.163

URL : http://doi.org/10.9781/ijimai.2012.163

E. Sander, J. M. Meunier, and C. Bosc-miné, Approche ontologique et navigation dans un E.I.A.H: Le cas de l'enseignement des statistiques, Revue STICEF, p.11, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00696330

C. Schau and N. Mattern, Use of Map Techniques in Teaching Applied Statistics Courses. The American Statistician, pp.171-175, 1997.

J. Sweller, Cognitive Load During Problem Solving: Effects on Learning, Cognitive Science, vol.19, issue.2, pp.257-285, 1988.
DOI : 10.1016/S0022-5371(80)90343-6

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.9126

M. Sy, Utilisation d'ontologies comme support à la recherche et à la navigation dans une collection de documents, Thèse de doctorat. Université Montpellier II -Sciences et Techniques du Languedoc, 2012.
URL : https://hal.archives-ouvertes.fr/tel-00822516

M. M. Terras, J. Ramsay, and E. Boyle, Learning and Open Educational Resources: A Psychological Perspective. E-Learning and Digital Media, pp.161-173, 2013.
DOI : 10.2304/elea.2013.10.2.161