F. Abd-el-khalick, R. L. Bell, and N. G. Lederman, The nature of science and instructional practice: Making the unnatural natural, Science Education, vol.82, issue.4, pp.417-436, 1998.
DOI : 10.1002/(SICI)1098-237X(199807)82:4<417::AID-SCE1>3.0.CO;2-E

R. Agarwal and J. Prasad, Are individual differences germane to the acceptance of new information technologies? Decision Sciences, pp.361-391, 1999.

I. Ajzen and M. Fishbein, Understanding attitudes and predicting social behaviour, 1980.

L. Alfieri, P. J. Brooks, N. J. Aldrich, and H. R. Tenenbaum, Does discovery-based instruction enhance learning?, Journal of Educational Psychology, vol.103, issue.1, pp.1-18, 2011.
DOI : 10.1037/a0021017

A. C. Alonzo and P. R. Aschbacher, Value-added? Long assessment of students' scientific inquiry skills. Paper presented at the Proceedings of assessment for reform-based science teaching and learning, a symposium at the annual meeting of the AERA, 2004.

T. M. Amabile, K. G. Hill, B. A. Hennessey, and E. M. Tighe, The Work Preference Inventory: Assessing intrinsic and extrinsic motivational orientations., Journal of Personality and Social Psychology, vol.66, issue.5, pp.950-967, 1994.
DOI : 10.1037/0022-3514.66.5.950

D. R. Anderson, P. W. Airasian, K. A. Cruikshank, R. E. Mayer, and P. R. Pintrich, A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives, 2001.

L. W. Anderson and D. R. Krathwohl, A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives, 2001.

A. Bandura, Self-efficacy: Toward a unifying theory of behavioral change., Psychological Review, vol.84, issue.2, pp.191-215, 1977.
DOI : 10.1037/0033-295X.84.2.191

A. J. Baroody, M. Cibulskis, M. L. Lai, and X. Li, Comments on the Use of Learning Trajectories in Curriculum Development and Research, Mathematical Thinking and Learning, vol.6, issue.2, pp.227-260, 2004.
DOI : 10.1207/s15327833mtl0602_8

A. J. Baroody, Y. Feil, and A. R. Johnson, An alternative reconceptualization of procedural and conceptual knowledge, Journal for Research in Mathematics Education, vol.38, pp.115-131, 2007.

G. P. Baxter, R. J. Shavelson, S. R. Goldman, and J. Pine, Evaluation of Procedure-Based Scoring for Hands-On Science Assessment, Journal of Educational Measurement, vol.1, issue.2, pp.1-17, 1992.
DOI : 10.1037//0033-2909.86.5.1149

Y. Beaumont-walters and K. Soyibo, An Analysis of High School Students' Performance on Five Integrated Science Process Skills, Research in Science & Technological Education, vol.19, issue.2, pp.133-145, 2001.
DOI : 10.1007/BF02461570

B. Bixler, The ABCDs of writing instructional objectives. Retrieved from http

C. L. Blalock, M. J. Lichtenstein, S. Owen, L. Pruski, C. Marshall et al., In Pursuit of Validity: A comprehensive review of science attitude instruments 1935???2005, International Journal of Science Education, vol.13, issue.7, pp.961-977, 1935.
DOI : 10.1615/JWomenMinorScienEng.v9.i1.10

B. S. Bloom, M. D. Engelhart, E. J. Furst, and W. H. Hill, Taxonomy of educational objectives: The classification of educational goals. Handbook 1: Cognitive domain, 1956.

T. Brush, K. D. Glazewski, and K. F. Hew, Development of an Instrument to Measure Preservice Teachers' Technology Skills, Technology Beliefs, and Technology Barriers, Computers in the Schools, pp.112-125, 2008.
DOI : 10.1111/1467-9620.00170

J. C. Burns, J. R. Okey, and K. C. Wise, Development of an integrated process skill test: TIPS II, Journal of Research in Science Teaching, vol.19, issue.2, pp.169-177, 1985.
DOI : 10.1002/tea.3660220208

J. W. Butzow and L. E. Sewell, An investigation of introductory physical science using the test of science process, Journal of Research in Science Teaching, vol.8, issue.3, pp.267-270, 1972.
DOI : 10.1002/tea.3660090313

T. F. Carolan, S. D. Hutchins, C. D. Wickens, and J. M. Cumming, Costs and Benefits of More Learner Freedom, Human Factors, vol.49, issue.8, 2014.
DOI : 10.1348/000709904322848824

P. Y. Chau, An Empirical Assessment of a Modified Technology Acceptance Model, Journal of Management Information Systems, vol.11, issue.1, pp.185-204, 1996.
DOI : 10.1037/0021-9010.92.5.1414

Z. Chen and D. Klahr, All Other Things Being Equal: Acquisition and Transfer of the Control of Variables Strategy, Child Development, vol.70, issue.5, pp.1098-1120, 1999.
DOI : 10.1111/1467-8624.00081

M. T. Chi, J. D. Slotta, and N. De-leeuw, From things to processes: A theory of conceptual change for learning science concepts. Learning and Instruction, pp.27-43, 1994.

C. University, Action words for Bloom's taxonomy. Retrieved from http

J. Cullen, F. Sullivan, K. Junge, and G. Britain, Evaluating science and society initiatives: A framework for evaluation, 2007.

C. Angelo, D. Rutstein, C. Harris, R. Bernard, E. Borokhovski et al., Simulations for STEM learning: Systematic review and meta-analysis, 2014.

F. D. Davis, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, vol.13, issue.3, pp.319-340, 1989.
DOI : 10.2307/249008

F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Science, vol.35, issue.8, pp.982-1003, 1989.
DOI : 10.1287/mnsc.35.8.982

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, Scaffolds for scientific discovery learning, Dealing with complexity in learning environments, pp.107-128, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00696233

T. De-jong, D1.1: Go-Lab learning spaces specification: Go-Lab project, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00979335

T. De-jong, D1.3: Preliminary inquiry classroom scenarios and guidelines: Go-Lab project, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00979335

T. De-jong and M. G. Ferguson-hessler, Types and qualities of knowledge, Educational Psychologist, vol.30, issue.2, pp.105-113, 1996.
DOI : 10.1016/0167-9287(91)80006-J

T. De-jong and A. W. Lazonder, The guided discovery principle in multimedia learning The Cambridge handbook of multimedia learning, pp.371-390, 2014.

T. De-jong and M. C. Linn, Physical and Virtual Laboratories in Science and Engineering Education, Science, vol.340, issue.6130, pp.305-308, 2013.
DOI : 10.1126/science.1230579
URL : https://hal.archives-ouvertes.fr/hal-00990360

T. De-jong, W. R. Van-joolingen, J. Swaak, K. H. Veermans, R. Limbach et al., Self-directed learning in simulation-based discovery environments, Journal of Computer Assisted Learning, vol.14, issue.3, pp.235-246, 1998.
DOI : 10.1046/j.1365-2729.1998.143060.x
URL : https://hal.archives-ouvertes.fr/hal-00190679

N. K. Denzin, Sociological methods: A sourcebook, aldine transaction, 2006.

L. Deslauriers and C. E. Wieman, Learning and retention of quantum concepts with different teaching methods, Physical Review Special Topics - Physics Education Research, vol.7, issue.1, p.10101, 2011.
DOI : 10.1103/PhysRevSTPER.7.010101

F. G. Dillashaw and J. R. Okey, Test of the integrated science process skills for secondary science students, Science Education, vol.13, issue.5, pp.601-608, 1980.
DOI : 10.1002/sce.3730640506

R. Driver, J. Leach, R. Millar, and P. Scott, Young people's images of science, 1996.

L. G. Enochs and I. M. Riggs, Further Development of an Elementary Science Teaching Efficacy Belief Instrument: A Preservice Elementary Scale, School Science and Mathematics, vol.70, issue.8, pp.694-706, 1990.
DOI : 10.1111/j.1949-8594.1990.tb12048.x

T. H. Eysink, T. De-jong, K. Berthold, B. Kolloffel, M. Opfermann et al., Learner Performance in Multimedia Learning Arrangements: An Analysis Across Instructional Approaches, American Educational Research Journal, vol.46, issue.4, pp.1107-1149, 2009.
DOI : 10.3102/0002831209340235

R. H. Fazio and M. P. Zanna, Direct Experience And Attitude-Behavior Consistency, Advances in experimental social psychology, vol.14, pp.161-202, 1981.
DOI : 10.1016/S0065-2601(08)60372-X

R. M. Felder and R. Brent, Understanding Student Differences, Journal of Engineering Education, vol.40, issue.no. 1, pp.57-72, 2005.
DOI : 10.1002/j.2168-9830.2005.tb00829.x

M. Fishbein, Theory of Reasoned Action, Nebraska Symposium on Motivation, vol.27, pp.65-116, 1979.
DOI : 10.4135/9781412952576.n209

M. Fishbein and I. Ajzen, Belief, attitude, intention and behavior: An introduction to theory and research, 1975.

E. M. Furtak, T. Seidel, H. Iverson, and D. C. Briggs, Experimental and Quasi-Experimental Studies of Inquiry-Based Science Teaching: A Meta-Analysis, Review of Educational Research, vol.82, issue.3, pp.300-329, 2012.
DOI : 10.3102/0034654312457206

C. Gardner and D. L. Amoroso, Development of an instrument to measure the acceptance of internet technology by consumers. Paper presented at the System Sciences, Proceedings of the 37th Annual Hawaii International Conference on, 2004.

P. J. Germann, Development of the attitude toward science in school assessment and its use to investigate the relationship between science achievement and attitude toward science in school, Journal of Research in Science Teaching, vol.26, issue.8, pp.689-703, 1988.
DOI : 10.1002/tea.3660250807

H. Gijlers and T. De-jong, Using Concept Maps to Facilitate Collaborative Simulation-Based Inquiry Learning, Journal of the Learning Sciences, vol.23, issue.3, pp.340-374, 2013.
DOI : 10.1080/10508400802581676

S. M. Glynn, S. M. Glynn, P. Brickman, N. Armstrong, and G. Taasoobshirazi, Science motivation questionnaire II: Validation with science majors and nonscience majors, Journal of Research in Science Teaching, vol.39, issue.3, pp.1159-1176, 2011.
DOI : 10.1002/tea.20442

C. Gormally, P. Brickman, and M. Lutz, Developing a Test of Scientific Literacy Skills (TOSLS): Measuring Undergraduates' Evaluation of Scientific Information and Arguments, Cell Biology Education, vol.11, issue.4, pp.364-377, 2012.
DOI : 10.1187/cbe.12-03-0026

S. Govaerts, D5.2: Specifications of the Go-Lab portal and app composer: Go-Lab project, 2013.

J. Hiebert and P. Lefevre, Conceptual and procedural knowledge in mathematics: An introductory analysis Conceptual and procedural knowledge: The case of mathematics, pp.1-27, 1986.

H. R. Hungerford and T. L. Volk, Changing learner behavior through environmental education. The journal of environmental education, pp.8-21, 1990.

T. Jaakkola and S. Nurmi, Fostering elementary school students??? understanding of simple electricity by combining simulation and laboratory activities, Journal of Computer Assisted Learning, vol.71, issue.4, pp.271-283, 2008.
DOI : 10.1111/j.1365-2729.2007.00259.x

A. Jimoyiannis, Designing and implementing an integrated technological pedagogical science knowledge framework for science teachers professional development, Computers & Education, vol.55, issue.3, pp.1259-1269, 2010.
DOI : 10.1016/j.compedu.2010.05.022

D. H. Jonassen, Toward a design theory of problem solving. Educational Technology Research and Development, pp.63-85, 2000.

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

G. M. Jones and G. Carter, Science Teacher Attitudes and Beliefs, Handbook of research on science education, pp.1067-1104, 2007.
DOI : 10.4324/9780203097267.ch41

N. Kang, M. Orgill, and K. Crippen, Understanding Teachers??? Conceptions of Classroom Inquiry With a Teaching Scenario Survey Instrument, Journal of Science Teacher Education, vol.81, issue.4, pp.337-354, 2008.
DOI : 10.1007/s10972-008-9097-4

A. Keselman, Supporting inquiry learning by promoting normative understanding of multivariable causality, Journal of Research in Science Teaching, vol.16, issue.9, pp.898-921, 2003.
DOI : 10.1002/tea.10115

P. Kind, K. Jones, and P. Barmby, Developing Attitudes towards Science Measures, International Journal of Science Education, vol.29, issue.7, pp.871-893, 2007.
DOI : 10.1080/03057268408559913
URL : https://hal.archives-ouvertes.fr/hal-00513322

P. M. Kind, Establishing Assessment Scales Using a Novel Disciplinary Rationale for Scientific Reasoning, Journal of Research in Science Teaching, vol.27, issue.9, pp.530-560, 2013.
DOI : 10.1002/tea.21086

B. Kollöffel and T. De-jong, Conceptual Understanding of Electrical Circuits in Secondary Vocational Engineering Education: Combining Traditional Instruction with Inquiry Learning in a Virtual Lab, Journal of Engineering Education, vol.76, issue.3, pp.375-393, 2013.
DOI : 10.1002/jee.20022

D. R. Krathwohl, A revision of Bloom's taxonomy: An overview. Theory into Practice, pp.212-218, 2002.

D. Kuhn, J. Black, A. Keselman, and D. Kaplan, The Development of Cognitive Skills To Support Inquiry Learning, Cognition and Instruction, vol.28, issue.2, pp.495-523, 2000.
DOI : 10.1006/drev.1999.0497

D. Kuhn and M. Pease, What needs to develop in the development of inquiry skills? Cognition and Instruction, pp.512-559, 2008.

A. E. Lawson, Classroom test of scientific reasoning, 2000.

N. G. Lederman, Students' and teachers' conceptions of the nature of science: A review of the research, Journal of Research in Science Teaching, vol.26, issue.4, pp.331-359, 1992.
DOI : 10.1002/tea.3660290404

N. G. Lederman, F. Abd-el-khalick, R. L. Bell, and R. S. Schwartz, Views of nature of science questionnaire: Toward valid and meaningful assessment of learners' conceptions of nature of science, Journal of Research in Science Teaching, vol.16, issue.6, pp.497-521, 2002.
DOI : 10.1002/tea.10034

F. E. Maltheis, W. E. Spooner, C. R. Coble, S. Takemura, S. Matsumoto et al., A study of the logical thinking skills and integrated process skills of junior high school students in North Carolina and Japan, Science Education, vol.20, issue.2, pp.211-222, 1992.
DOI : 10.1002/sce.3730760208

J. E. Marshall, Construct validity of multiple-choice and performance-based assessments of basic science process skills: A multitrait-multimethod analysis, 1991.

F. E. Mattheis and G. Nakayama, Development of the performance of process skills (pops) test for middle grades students, 1988.

D. Mckenzie and M. Padilla, Effect of laboratory activities and written simulations on the acquisition of graphing skills by eighth grade students.Unpublished manuscript, 1984.

R. Millar and J. Osborne, Beyond 2000: Science education for the future, 1998.

D. D. Minner, A. J. Levy, and J. Century, Inquiry-based science instruction-what is it and does it matter? Results from a research synthesis years 1984 to 2002, Journal of Research in Science Teaching, vol.12, issue.5, pp.474-496, 1984.
DOI : 10.1002/tea.20347

L. L. Molitor and K. D. George, Development of a test of science process skills, Journal of Research in Science Teaching, vol.7, issue.5, pp.405-412, 1976.
DOI : 10.1002/tea.3660130504

J. Moon and Y. Kim, Extending the tam for a world-wide-web context. Information & Management, pp.217-230, 2001.

D. A. Muller, J. Bewes, M. D. Sharma, and P. Reimann, Saying the wrong thing: improving learning with multimedia by including misconceptions, Journal of Computer Assisted Learning, vol.23, issue.2, pp.144-155, 2008.
DOI : 10.1111/j.1365-2729.2007.00248.x

E. W. Ngai, J. K. Poon, and Y. H. Chan, Empirical examination of the adoption of WebCT using TAM, Computers & Education, vol.48, issue.2, pp.250-267, 2007.
DOI : 10.1016/j.compedu.2004.11.007

J. Osborne, S. Simon, and S. Collins, Attitudes towards science: A review of the literature and its implications, International Journal of Science Education, vol.22, issue.9, pp.1049-1079, 2003.
DOI : 10.1002/sce.3730700402

N. Papadouris and C. P. Constantinou, A methodology for integrating computer???based learning tools in science curricula, Journal of Curriculum Studies, vol.28, issue.4, pp.521-538, 2009.
DOI : 10.1119/1.1566427

M. Pedaste, M. Mäeots, L. A. Siiman, T. De-jong, S. A. Van-riesen et al., Phases of inquiry-based learning: Definitions and the inquiry cycle, Educational Research Review, vol.14
DOI : 10.1016/j.edurev.2015.02.003
URL : https://hal.archives-ouvertes.fr/hal-01206700

M. J. Prince and R. M. Felder, Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases, Journal of Engineering Education, vol.44, issue.2, pp.123-138, 2006.
DOI : 10.1002/j.2168-9830.2006.tb00884.x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.8102

T. Rifkin and J. H. Georgakakos, Science reasoning ability of community college students, p.393505, 1996.

B. Rittle-johnson, R. S. Siegler, and M. W. Alibali, Developing conceptual understanding and procedural skill in mathematics: An iterative process., Journal of Educational Psychology, vol.93, issue.2, pp.346-362, 2001.
DOI : 10.1037/0022-0663.93.2.346

P. H. Rossi, M. W. Lipsey, and H. E. Freeman, Evaluation, International Journal of Rehabilitation Research, vol.3, issue.3, 2004.
DOI : 10.1097/00004356-198009000-00034
URL : https://hal.archives-ouvertes.fr/hal-01017734

L. Schauble, The development of scientific reasoning in knowledge-rich contexts., Developmental Psychology, vol.32, issue.1, pp.102-119, 1996.
DOI : 10.1037/0012-1649.32.1.102

D. A. Schmidt, E. Baran, A. D. Thompson, P. Mishra, M. J. Koehler et al., Technological Pedagogical Content Knowledge (TPACK), Journal of Research on Technology in Education, vol.25, issue.2, p.123, 2009.
DOI : 10.1080/15391523.2009.10782544

D. H. Schunk, P. R. Pintrich, and M. L. Meece, Motivation in education: Theory, research, and applications, 2008.

R. J. Shavelson, G. P. Baxter, and J. Pine, Performance Assessments: Political Rhetoric and Measurement Reality, Educational Researcher, vol.21, issue.4, pp.22-27, 1992.
DOI : 10.2307/1177207

L. S. Shulman, Those Who Understand: Knowledge Growth in Teaching, Educational Researcher, vol.15, issue.2, pp.4-14, 1986.
DOI : 10.3102/0013189X015002004

L. S. Shulman, Knowledge and Teaching: Foundations of the New Reform, Harvard Educational Review, vol.57, issue.1, pp.1-23, 1987.
DOI : 10.17763/haer.57.1.j463w79r56455411

R. E. Snow, Toward Assessment of Cognitive and Conative Structures in Learning, Educational Researcher, vol.18, issue.9, pp.8-14, 1989.
DOI : 10.2307/1176713

L. Springer, M. E. Stanne, and S. S. Donovan, Effects of Small-Group Learning on Undergraduates in Science, Mathematics, Engineering, and Technology: A Meta-Analysis, Review of Educational Research, vol.69, issue.1, pp.21-51, 1999.
DOI : 10.3102/00346543069001021

K. A. Strike and G. J. Posner, A conceptual change view of learning and understanding, Cognitive structure and conceptual change, pp.211-231, 1985.

R. S. Tannenbaum, The development of the test of science processes, Journal of Research in Science Teaching, vol.8, issue.2, pp.123-136, 1971.
DOI : 10.1002/tea.3660080206

P. K. Tao and R. F. Gunstone, The process of conceptual change in force and motion during computer-supported physics instruction, Journal of Research in Science Teaching, vol.23, issue.7, pp.859-882, 1999.
DOI : 10.1002/(SICI)1098-2736(199909)36:7<859::AID-TEA7>3.0.CO;2-J

M. Timms, D. H. Clements, J. Gobert, D. J. Ketelhut, J. Lester et al., New measurement paradigms, 2012.

K. G. Tobin and W. Capie, Development and validation of a group test of integrated science processes, Journal of Research in Science Teaching, vol.18, issue.2, pp.133-141, 1982.
DOI : 10.1002/tea.3660190205

K. C. Trundle and R. L. Bell, The use of a computer simulation to promote conceptual change: A quasi-experimental study, Computers & Education, vol.54, issue.4, pp.1078-1088, 2010.
DOI : 10.1016/j.compedu.2009.10.012

T. Turpin and B. N. Cage, The effects of an integrated, activity-based science curriculum on student achievement, science process skills, and science attitudes, Electronic Journal of Literacy through Science, vol.3, pp.1-16, 2004.

W. R. Van-joolingen and Z. C. Zacharia, Developments in Inquiry Learning, Technology-enhanced learning, pp.21-37, 2009.
DOI : 10.1007/978-1-4020-9827-7_2

C. J. Wenning, Assessing inquiry skills as a component of scientific literacy, Journal of Physics Teacher Education Online, vol.4, pp.21-24, 2007.

D. Williams, L. Coles, K. Wilson, A. Richardson, and J. Tuson, Teachers and ICT: current use and future needs, British Journal of Educational Technology, vol.31, issue.4, pp.307-320, 2000.
DOI : 10.1111/1467-8535.00164

T. D. Wilson, S. Lindsey, and T. Y. Schooler, A model of dual attitudes., Psychological Review, vol.107, issue.1, pp.101-126, 2000.
DOI : 10.1037/0033-295X.107.1.101

A. H. Yuen and W. W. Ma, Exploring teacher acceptance of e???learning technology, Asia-Pacific Journal of Teacher Education, vol.2, issue.3, pp.229-243, 2008.
DOI : 10.1017/S0958344007000614

Z. C. Zacharia, Comparing and combining real and virtual experimentation: an effort to enhance students' conceptual understanding of electric circuits, Journal of Computer Assisted Learning, vol.71, issue.2, pp.120-132, 2007.
DOI : 10.1111/j.1365-2729.2006.00215.x

Z. C. Zacharia, C. Manoli, N. Xenofontos, T. De-jong, M. Pedaste et al., Identifying potential types of guidance for supporting student inquiry when using virtual and remote labs in science: a literature review, Educational Technology Research and Development, vol.58, issue.2
DOI : 10.1007/s11423-015-9370-0
URL : https://hal.archives-ouvertes.fr/hal-01206410

P. Zervas, D2.1. The Go-Lab inventory and integration of online labs ? labs offered by large scientific organisations: Go-Lab project, 2013.

M. Zint, Comparing three attitude-behavior theories for predicting science teachers' intentions, Journal of Research in Science Teaching, vol.32, issue.9, pp.819-844, 2002.
DOI : 10.1002/tea.10047