D. Charney, L. Reder, and G. W. Kusbit, Goal Setting and Procedure Selection in Acquiring Computer Skills: A Comparison of Tutorials, Problem Solving, and Learner Exploration, Cognition and Instruction, vol.2, issue.18, pp.323-342, 1990.
DOI : 10.1037//0022-0663.80.4.424

R. Glaser, L. Schauble, K. Raghavan, and C. Zeitz, Scientific Reasoning Across Different Domains, Computer-based learning environments and problem solving, pp.345-373, 1992.
DOI : 10.1007/978-3-642-77228-3_16

T. De-jong, W. Van-joolingen, D. Scott, R. De-hoog, L. Lapied et al., SMISLE: System for Multimedia Integrated Simulation Learning Environments Design and production of multimedia and simulation based learning material, pp.133-167, 1994.

T. De-jong and W. R. Van-joolingen, The SMISLE environment: Learning with and design of integrated simulation learning environments, Telematics for education and training, pp.173-187, 1995.

T. De-jong, H. Härtel, . J. Swaak, and W. Van-joolingen, Support for simulationbased learning; the effects of assignments in learning about transmission lines, Computer aided learning and instruction in science and engineering, pp.9-27, 1996.

T. De-jong, E. Martin, J. Zamarro, F. Esquembre, J. Swaak et al., Support for simulation-based learning; the effects of assignments and model progression in learning about collisions, 1997.

T. De-jong, W. R. Van-joolingen, W. R. Van-joolingen, and T. De-jong, Discovery learning with computer simulations . Manuscript submitted for publication Design and implementation of simulationbased discovery environments: the SMISLE solution, Journal of Artificial Intelligence and Education, vol.7, pp.253-277, 1996.
URL : https://hal.archives-ouvertes.fr/hal-00190680

W. R. Van-joolingen and T. De-jong, An extended dual search space model of learning with computer simulations, Instructional Science, 1997.

W. Van-joolingen, S. King, A. Alusse, J. Blankenburg, M. Celdran et al., Developing the SIMQUEST authoring environment, Designing integrated computer simulation environments for discovery learning, pp.71-97, 1996.

M. Kuyper, R. De-hoog, and T. De-jong, Using WWW technologies for acquiring user requirements in distributed software development, 1997.

D. R. Lavoie and R. Good, The nature and use of prediction skills in a biological computer simulation, Journal of Research in Science Teaching, vol.20, issue.5, pp.335-360, 1988.
DOI : 10.1002/tea.3660250503

E. L. Lewis, J. L. Stern, and M. C. Linn, The effect of computer simulations on introductory thermodynamics understanding, Educational Technology, vol.33, pp.45-58, 1993.

M. Njoo and T. De-jong, Exploratory learning with a computer simulation for control theory: Learning processes and instructional support, Journal of Research in Science Teaching, vol.42, issue.8, pp.821-844, 1993.
DOI : 10.1002/tea.3660300803

M. Njoo and T. De-jong, Supporting Exploratory Learning by Offering Structured Overviews of Hypotheses, Simulationbased experiential learning, pp.207-225, 1993.
DOI : 10.1007/978-3-642-78539-9_15

L. Schauble, R. Glaser, K. Raghavan, and M. Reiner, Causal Models and Experimentation Strategies in Scientific Reasoning, Journal of the Learning Sciences, vol.1, issue.2, pp.201-239, 1991.
DOI : 10.1207/s15327809jls0102_3

V. M. Showalter, Conducting science investigations using computer simulated experiments. The Science Teacher, pp.46-50, 1970.

V. J. Shute and R. Glaser, A Large???Scale Evaluation of an Intelligent Discovery World: Smithtown, Interactive Learning Environments, vol.1, issue.1, pp.51-77, 1990.
DOI : 10.1007/BF01988527

P. E. Simmons and V. N. Lunetta, Problem-solving behaviors during a genetics computer simulation: Beyond the expert/novice dichotomy, Journal of Research in Science Teaching, vol.17, issue.2, pp.153-173, 1993.
DOI : 10.1002/tea.3660300204

J. Swaak, V. Blokhuis, M. Gutierrez, and M. López, Evaluating simulation discovery environments with learners, 1997.

J. Swaak, T. De-jong, and . De, Measuring intuitive knowledge in science: The development of the what-if test, Studies in Educational Evaluation, vol.22, issue.4, pp.341-362, 1996.
DOI : 10.1016/0191-491X(96)00019-3

J. Swaak, W. R. Van-joolingen, T. De-jong, I. Tabak, B. K. Smith et al., Support for simulation-based learning; the effects of model progression and assignments on learning about oscillatory motion Combining general and domain-specific strategic support for biological inquiry, Intelligent Tutoring Systems, pp.288-297, 1996.

V. D. Teodoro, Direct manipulation of physical concepts in a computerized exploratory laboratory Computer-based learning environments and problem solving (NATO ASI series F: Computer and Systems Series), pp.445-465, 1992.

M. V. Veenman and J. J. Elshout, Differential effects of instructional support on learning in simultation environments, Instructional Science, vol.42, issue.5, pp.363-383, 1995.
DOI : 10.1007/BF00891961

M. J. Veenman, J. J. Elshout, and J. Meijer, The generality vs domain-specificity of metacognitive skills in novice learning across domains, Learning and Instruction, vol.7, issue.2, pp.187-209, 1997.
DOI : 10.1016/S0959-4752(96)00025-4

B. Y. White, Designing Computer Games to Help Physics Students Understand Newton's Laws of Motion, Cognition and Instruction, vol.1, issue.2, pp.69-108, 1984.
DOI : 10.1207/s15516709cog0701_2

B. Y. White, ThinkerTools: Causal Models, Conceptual Change, and Science Education, Cognition and Instruction, vol.11, issue.1, pp.1-100, 1993.
DOI : 10.1037//0003-066X.41.10.1123

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

A. I. Zietsman and P. W. Hewson, Effect of instruction using microcomputer simulations and conceptual change strategies on science learning, Journal of Research in Science Teaching, vol.20, issue.1, pp.27-39, 1986.
DOI : 10.1002/tea.3660230104