S. Ainsworth and A. T. Loizou, The effects of self-explaining when learning with text or diagrams, Cognitive Science, vol.18, issue.4, pp.669-681, 2003.
DOI : 10.1207/s15516709cog2704_5

R. K. Atkinson, R. Catrambone, and M. M. Merrill, Aiding Transfer in Statistics: Examining the Use of Conceptually Oriented Equations and Elaborations During Subgoal Learning., Journal of Educational Psychology, vol.95, issue.4, pp.762-773, 2003.
DOI : 10.1037/0022-0663.95.4.762

C. Batanero and E. Sanchez, What is the Nature of High School Students' Conceptions and Misconceptions About Probability?, 2005.
DOI : 10.1007/0-387-24530-8_11

. Jones, Exploring probability in school: Challenges for teaching and learning (pp. 241-266)
DOI : 10.1007/b105829

P. C. Cheng, Unlocking conceptual learning in mathematics and science with effective representational systems, Computers & Education, vol.33, issue.2-3, pp.109-130, 1999.
DOI : 10.1016/S0360-1315(99)00028-7

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 : 10.1207/s15516709cog0502_2

R. Cox, Representation construction, externalised cognition and individual differences, Learning and Instruction, vol.9, issue.4, pp.343-363, 1999.
DOI : 10.1016/S0959-4752(98)00051-6

T. De-jong, The guided discovery principle in multimedia learning The Cambridge Handbook of Multimedia Learning, pp.215-229, 2005.

T. De-jong, COMPUTER SIMULATIONS: Technological Advances in Inquiry Learning, Science, vol.312, issue.5773, pp.532-533, 2006.
DOI : 10.1126/science.1127750
URL : https://hal.archives-ouvertes.fr/hal-00190793

T. De-jong and M. G. Ferguson-hessler, Cognitive structures of good and poor novice problem solvers in physics., Journal of Educational Psychology, vol.78, issue.4, pp.279-288, 1986.
DOI : 10.1037/0022-0663.78.4.279

T. De-jong and W. R. Van-joolingen, Scientific Discovery Learning with Computer Simulations of Conceptual Domains, Review of Educational Research, vol.68, issue.2, pp.179-202, 1998.
DOI : 10.3102/00346543068002179
URL : https://hal.archives-ouvertes.fr/hal-00190680

E. Fischbein, The intuitive sources of probabilistic thinking in children, 1975.
DOI : 10.1007/978-94-010-1858-6

P. W. Foos, The Effect of Variations in Text Summarization Opportunities on Test Performance, The Journal of Experimental Education, vol.56, issue.2, pp.89-95, 1995.
DOI : 10.1002/acp.2350060305

L. S. Fuchs, D. Fuchs, K. Prentice, C. L. Hamlett, R. Finelli et al., Enhancing Mathematical Problem Solving Among Third-Grade Students With Schema-Based Instruction., Journal of Educational Psychology, vol.96, issue.4, pp.635-647, 2004.
DOI : 10.1037/0022-0663.96.4.635

K. C. Fuson, M. Kalchman, and J. D. Bransford, Mathematical understanding: An introduction How students learn: History, mathematics, and science in the classroom, pp.217-256, 2005.

J. Garfield and A. Ahlgren, Difficulties in Learning Basic Concepts in Probability and Statistics: Implications for Research, Journal for Research in Mathematics Education, vol.19, issue.1, pp.44-63, 1988.
DOI : 10.2307/749110

A. H. Gijlers, Confrontation and co-construction: Exploring and supporting collaborative scientific discovery learning with computer simulations. Doctoral dissertation, 2005.

C. Greenes, Mathematics learning and knowing: A cognitive process, Journal of Education, vol.177, pp.85-106, 1995.

B. Greer, Understanding probabilistic thinking: The legacy of Efraim Fischbein, Educational Studies in Mathematics, vol.45, issue.1/3, pp.15-33, 2001.
DOI : 10.1023/A:1013801623755

S. Hidi and V. Anderson, Producing Written Summaries: Task Demands, Cognitive Operations, and Implications for Instruction, Review of Educational Research, vol.56, issue.4, pp.473-493, 1986.
DOI : 10.3102/00346543056004473

R. Kapadia, A brief survey of research on probabilistic notions, Theory, research and practice in mathematical education, pp.261-265, 1985.

B. Kolloffel, T. De-jong, and T. Eysink, The effects of representational format in simulation-based inquiry learning, 2005.

J. H. Larkin and H. A. Simon, Why a Diagram is (Sometimes) Worth Ten Thousand Words, Cognitive Science, vol.1, issue.1, pp.65-99, 1987.
DOI : 10.1111/j.1551-6708.1987.tb00863.x

K. Lipson, S. Kokonis, and G. Francis, Investigation of students' experiences with a web-based computer simulation, Proceedings of the 2003 IASE Satellite Conference on Statistics Education and the Internet, 2003.

S. Löhner, W. R. Van-joolingen, and E. R. Savelsbergh, The effect of external representation on constructing computer models of complex phenomena, Instructional Science, vol.31, issue.6, pp.395-418, 2003.
DOI : 10.1023/A:1025746813683

S. Manlove, A. W. Lazonder, and T. De-jong, Regulative support for collaborative scientific inquiry learning, Journal of Computer Assisted Learning, vol.20, issue.2, pp.87-98, 2006.
DOI : 10.1111/j.1365-2729.2006.00162.x

R. E. Mayer, The promise of multimedia learning: using the same instructional design methods across different media, Learning and Instruction, vol.13, issue.2, pp.125-139, 2003.
DOI : 10.1016/S0959-4752(02)00016-6

R. E. Mayer, Should There Be a Three-Strikes Rule Against Pure Discovery Learning?, American Psychologist, vol.59, issue.1, pp.14-19, 2004.
DOI : 10.1037/0003-066X.59.1.14

M. J. Nathan, W. Kintsch, and E. Young, A Theory of Algebra-Word-Problem Comprehension and Its Implications for the Design of Learning Environments, Cognition and Instruction, vol.7, issue.4, pp.329-389, 1992.
DOI : 10.1037/0022-0663.80.2.192

J. C. Nesbit and O. 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

D. Niemi, Assessing Conceptual Understanding in Mathematics: Representations, Problem Solutions, Justifications, and Explanations, The Journal of Educational Research, vol.77, issue.6, pp.351-363, 1996.
DOI : 10.1007/BF00352192

J. D. Novak, Concept maps and Vee diagrams: two metacognitive tools to facilitate meaningful learning, Instructional Science, vol.20, issue.7, pp.29-52, 1990.
DOI : 10.1007/BF00377984

J. D. Novak, Meaningful learning: The essential factor for conceptual change in limited or inappropriate propositional hierarchies leading to empowerment of learners, Science Education, vol.11, issue.4, pp.548-571, 2002.
DOI : 10.1002/sce.10032

O. Donnell, A. M. Dansereau, D. F. Hall, and R. H. , Knowledge maps as scaffolds for cognitive processing, Educational Psychology Review, vol.14, issue.1, pp.71-86, 2002.
DOI : 10.1023/A:1013132527007

S. Ohlsson and E. Rees, The Function of Conceptual Understanding in the Learning of Arithmetic Procedures, Cognition and Instruction, vol.12, issue.2, pp.103-179, 1991.
DOI : 10.1016/0004-3702(87)90080-4

M. Pressley, E. Wood, V. E. Woloshyn, V. Martin, A. King et al., Encouraging Mindful Use of Prior Knowledge: Attempting to Construct Explanatory Answers Facilitates Learning, Educational Psychologist, vol.55, issue.1, pp.91-109, 1992.
DOI : 10.1037/0022-0663.82.4.741

B. J. Reiser, Scaffolding Complex Learning: The Mechanisms of Structuring and Problematizing Student Work, Journal of the Learning Sciences, vol.17, issue.3, pp.273-304, 2004.
DOI : 10.1002/sce.10004

T. J. Shuell, Cognitive Conceptions of Learning, Review of Educational Research, vol.56, issue.4, pp.411-436, 1986.
DOI : 10.3102/00346543056004411

T. J. Shuell, The role of the student in learning from instruction, Contemporary Educational Psychology, vol.13, issue.3, pp.276-295, 1988.
DOI : 10.1016/0361-476X(88)90027-6

J. E. Spurlin, D. F. Dansereau, A. Donnell, and L. W. Brooks, Text Processing, The Journal of Experimental Education, vol.9, issue.4, pp.199-202, 1988.
DOI : 10.1037/0022-0663.68.6.689

R. J. Sternberg, A theory of knowledge acquisition in the development of verbal concepts*1, Developmental Review, vol.4, issue.2, pp.113-138, 1984.
DOI : 10.1016/0273-2297(84)90001-7

J. E. Tarr, J. K. Lannin, and T. De-jong, How can teachers build notions of conditional probability and independence Exploring probability in school: Challenges for teaching and learning (pp. 215-238) SimQuest: Authoring educational simulations Authoring tools for advanced technology educational software: Toward cost-effective production of adaptive, interactive, and intelligent educational software, pp.1-31, 2003.

W. R. Van-joolingen, T. De-jong, A. W. Lazonder, E. R. Savelsbergh, and S. Manlove, Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning, Computers in Human Behavior, vol.21, issue.4, pp.671-688, 2005.
DOI : 10.1016/j.chb.2004.10.039

P. Van-meter, M. Aleksic, A. Schwartz, and J. Garner, Learner-generated drawing as a strategy for learning from content area text, Contemporary Educational Psychology, vol.31, issue.2, pp.142-166, 2006.
DOI : 10.1016/j.cedpsych.2005.04.001

P. Van-meter and J. Garner, The Promise and Practice of Learner-Generated Drawing: Literature Review and Synthesis, Educational Psychology Review, vol.24, issue.4, pp.285-325, 2005.
DOI : 10.1007/s10648-005-8136-3

J. J. Zhang, The Nature of External Representations in Problem Solving, Cognitive Science, vol.57, issue.3, pp.179-217, 1997.
DOI : 10.1207/s15516709cog2102_3