• Aguirre, J.M. (1988). Student preconceptions about vector kinematics. The Physics Teacher, 26, 212-216. doi: 10.1119/1.2342490
• Arons, A.B. (1997). Teaching Introductory Physics. New York: John Wiley & Sons.
• Banks, J., Carson, J.S., Nelson, B.L., & Nicole, D.M. (2010). Discrete-Event System Simulation. Upper Saddle River, NJ: Prentice Hall.
• Beichner, R. (1990). The Effect of Simultaneous Motion Presentation and Graph Generation in a Kinematics Lab. Journal of Research in Science Teaching, 27, 803-815. doi: 10.1002/tea.3660270809
• Beichner, R.J. (1994). Testing Student Interpretation of Kinematics Graphs. American Journal of Physics, 62, 750-762. doi: 10.1119/1.17449
• Beichner, R.J. (1996). The impact of video motion analysis on kinematics graph interpretation skills. American Journal of Physics, 64, 1272-1277. doi: 10.1119/1.18390.
• Boone, W.J., Staver, J.R., & Yale, M.S. (2014). Rasch Analysis in the Human Sciences. Dordrecht: Springer.
• Bowling, A. (2005). Techniques of questionnaire design. In A. Bowling & S. Ebrahim (Eds.), Handbook of health research methods: Investigation, measurement and analysis (pp. 394- 428). Maidenhead: Open University Press.
• Brassel, H. (1987). The effect of real-time laboratory graphing on learning graphic representations of distance and velocity. Journal of Research in Science Teaching, 24, 385-395. doi: 10.1002/tea.3660240409
• Carson, R. & Rowlands, S. (2005). Mechanics as the Logical Point of Entry for the Enculturation into Scientific Thinking. Science & Education, 14, 473-492. doi: 10.1007/s11191-004-1791-9
• Christian, W., & Belloni, M. (2001). Physlets: Teaching Physics with Interactive Curricular Material. Upper Saddle River, NJ: Prentice Hall.
• Christian, W., & Belloni, M. (2004). Physlet Physics: Interactive Illustrations, Explorations and Problems for Introductory Physics. Upper Saddle River, NJ: Pearson Education.
• Clark, R.C., & Mayer, R.E. (2011). e-learning and the science of instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning. San Francisco, CA: Pfeiffer.
• Cohen, R.J., Swerdlik, M. (2009). Psychological Assessment: An Introduction to Tests and Measurements. Boston, MA: McGraw-Hill Higher Education.
• Erceg, N., & Aviani, I. (2014). Students’ understanding of velocity-time graphs and the sources of conceptual difficulties. Croatian Journal of Education, 16, 43-80.
• Fisseni, H-J. (1997). Lehrbuch der psychologischen Diagnostik [Textbook of psychological diagnostics]. Göttingen: Hogrefe-Verlag.
• Ford, K. (2011). Inquiry Learning: Students‘ perception of light wave phenomena in an informal environment (Unpublished doctoral dissertation). Southern University and A&M College, Baton Rouge.
• Furr, R.M., & Bacharach, V.R. (2013). Psychometrics: An Introduction (2nd ed.). Thousand Oaks: SAGE.
• Galili, I. (1995). Mechanics background influences students’ conceptions in electromagnetism. International Journal of Science Education, 17, 371-387. doi: 10.1080/0950069950170308
• Gall, M.D., Gall, J.P., & Borg, W.R. (2003). Educational Research: An Introduction (7th ed). Boston: Pearson Education.
• Halloun, I. A., & Hestenes, D. (1985). Common sense concepts about motion. American Journal of Physics, 53, 1056-1065. doi: 10.1119/1.14031
• Halpern, D.F., Benbow, C.P., Geary, D.C., Gur, R.C., Hyde, J.S., Gernsbacher, M.A. (2007). The Science of Sex Differences in Science and Mathematics. Psychological Science in Public Interest, 8, 1-51. doi: 10.1111/j.1529-1006.2007.00032.x
• Hegarty, M. & Just, M.A. (1993). Constructing Mental Models of Machines from Text and Diagrams. Journal of Memory and Language, 32, 717-742. doi: 10.1006/jmla.1993.1036
• Hegarty, M. (2014). Multimedia Learning and the development of mental models. In R.E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (pp. 673-701). Cambridge: Cambridge University Press.
• Hegarty, M., Kriz, S., & Cate, C. (2003). The Roles of Mental Animations and External Animations in Understanding Mechanical Systems. Cognition and Instruction, 21, 325- 360. doi: 10.1207/s1532690xci2104_1
• Hestenes, D., & Wells, M. (1992). A Mechanics Baseline Test. The Physics Teacher, 30, 159- 166. doi: 10.1119/1.2343498
• Hestenes, D., Wells, M., & Swackhammer, G. (1992). Force Concept Inventory. The Physics Teacher, 30, 141-158. doi: 10.1119/1.2343497
• Jimoyiannis, A. & Komis, V. (2001). Computer simulations in physics teaching and learning: a case study on students' understanding of trajectory motion. Computers & Education, 36, 183-204. doi: 10.1016/S0360-1315(00)00059-2
• Johnson, K., Hewett, S., Holt, S., & Miller, J. (2000). Advanced Physics for You. Cheltenham: Nelson Thornes.
• Knight, R. D. (2004). Five Easy Lessons: Strategies for Successful Physics Teaching. San Francisco, CA: Addison Wesley.
• Lichtenberger, A., Vaterlaus, A., & Wagner, C. (2014). Analysis of student concept knowledge in kinematics. In C. P. Constantinou, N. Papadouris & A. Hadjigeorgiou (Eds.), E-Book Proceedings of the ESERA 2013 Conference: Science Education Research For Evidencebased Teaching and Coherence in Learning. Part 11(R. Millar & J. Dolin), (pp. 38- 50) Nicosia, Cyprus: ESERA.
• Mayer, R.E., Hegarty, M., Mayer, S., & Campbell, J. (2005). When Static Media Promote Active Learning: Annotated Illustrations Versus Narrated Animations in Multimedia Instruction. Journal of Experimental Psychology: Applied, 11, 256-265. doi: 10.1037/1076-898X.11.4.256
• McDermott, L.C., Rosenquist, M.L., & van Zee, E.H. (1987). Student difficulties in connecting graphs and physics: examples from kinematics. American Journal of Physics, 55, 503- 513. doi: 10.1119/1.15104
• Middle Years Programme (n.d.). Retrieved December 16, 2014, from http://www.ibo.org/en/programmes/middle-years-programme
• National Research Council. (2011). Learning Science through Computer Games and Simulations. Washington: National Academies Press.
• Nersessian, N.J. (2008). Creating Scientific Concepts. Cambridge: The MIT Press.
• Pena, C.M. & Alessi, S.M. (1999). Promoting a qualitative understanding of physics. Journal of computers in mathematics and science teaching, 18, 439-457.
• Planinic, M., Ivanjek, L., Susac, A., & Milin-Sipus, Z. (2013). Comparison of university students’ understanding of graphs in different contexts. Physical Review Special Topics – Physics Education Research, 9, 020103. doi: 10.1103/PhysRevSTPER.9.020103
• Ploetzner, R., Lippitsch, S., Galmbacher, M., Heuer, D., & Scherrer, S. (2009). Students’ difficulties in learning from dynamic visualizations and how they may be overcome. Computers in Human Behavior, 25, 56-65. doi: 10.1016/j.chb.2008.06.006
• Reif, F. (2010). Applying Cognitive Science to Education: Thinking and Learning in Scientific and Other Complex Domains. Cambridge: MIT Press.
• Rieber, L.P. (1991). Animation, Incidental Learning, and Continuing Motivation. Journal of Educational Psychology, 83, 318-328. doi: 10.1037/0022-0663.83.3.318
• Sanchez, C.A., & Wiley, J. (2010). Sex differences in science learning: Closing the gap through animations. Learning and Individual Differences, 20, 271-275. doi: 10.1016/j.lindif.2010.01.003
• Sengupta, P., & Farris, A.V. (2012, June ). Learning kinematics in elementary grades using agent-based computational modeling: a visual programming-based approach. In H. Schelhowe (Ed.), Proceedings of the 11th International Conference on Interaction Design and Children (pp. 78–87). New York, NY: ACM Press.
• Smith, T.I., Wittmann, M.C., & Carter, T. (2014). Applying model analysis to a resource-based analysis of the Force and Motion Conceptual Evaluation. Physical Review Special Topics – Physics Education Research, 10, 020102. doi: 10.1103/PhysRevSTPER.10.020102
• Thornton, R.K., & Sokoloff, D.F. (1990). Learning motion concepts using real-time microcomputer-based laboratory tools. American Journal of Physics, 58, 858-867. doi: 10.1119/1.16350
• Thornton, R.K., & Sokoloff, D.R. (1998). Assessing student learning of Newton’s laws: The Force and Motion Conceptual Evaluation and the Evaluation of Active Learning Laboratory and Lecture Curricula. American Journal of Physics, 66, 338-352. doi: 10.1119/1.18863
• Titus, A.P. (1998). Integrating Video and Animation with Physics Problem Solving Exercises on the World Wide Web (Unpublished doctoral dissertation). North Carolina State University, Raleigh.
• Trowbridge, D.E., & McDermott, L.C. (1980). Investigation of student understanding of the concept of velocity in one dimension. American Journal of Physics, 48, 1020-1028. doi: 10.1119/1.12298
• Trowbridge, D.E., & McDermott, L.C. (1981). Investigation of student understanding of the concept of acceleration in one dimension. American Journal of Physics, 49, 242-253. doi: 10.1119/1.12525
• Trudel, L. & Metioui, A. (2011, July). Conception of a computer-aided physics laboratory to facilitate the understanding of kinematical concepts. Paper presented at the Proceedings of the 9th International Conference on Education and Information Systems, Technologies and Applications: EISTA 2011. Orlando, Florida: International Institute of Informatics and Systemics.
• Wieman, C.E., Adams, W.K., & Perkins, K.K. (2008). PhET: Simulations That Enhance Learning. Science, 322, 682-683. doi: 10.1126/science.1161948
• Wright, B. D., & Linacre, J. M. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8, 370. Retrieved December 16, 2014, from http://www.rasch.org/rmt/rmt83b.htm

APA

Mešić, V., Dervić, D., Gazibegović-Busuladžić, A., Salibašić, D., & Erceg, N. (2015). Comparing the Impact of Dynamic and Static Media on Students' Learning of One-Dimensional Kinematics. Eurasia Journal of Mathematics, Science and Technology Education, 11(5), 1119-1140. https://doi.org/10.12973/eurasia.2015.1385a

Vancouver

Mešić V, Dervić D, Gazibegović-Busuladžić A, Salibašić D, Erceg N. Comparing the Impact of Dynamic and Static Media on Students' Learning of One-Dimensional Kinematics. EURASIA J Math Sci Tech Ed. 2015;11(5):1119-40. https://doi.org/10.12973/eurasia.2015.1385a

AMA

Mešić V, Dervić D, Gazibegović-Busuladžić A, Salibašić D, Erceg N. Comparing the Impact of Dynamic and Static Media on Students' Learning of One-Dimensional Kinematics. EURASIA J Math Sci Tech Ed. 2015;11(5), 1119-1140. https://doi.org/10.12973/eurasia.2015.1385a

Chicago

Mešić, Vanes, Dževdeta Dervić, Azra Gazibegović-Busuladžić, Džana Salibašić, and Nataša Erceg. "Comparing the Impact of Dynamic and Static Media on Students' Learning of One-Dimensional Kinematics". Eurasia Journal of Mathematics, Science and Technology Education 2015 11 no. 5 (2015): 1119-1140. https://doi.org/10.12973/eurasia.2015.1385a

Harvard

Mešić, V., Dervić, D., Gazibegović-Busuladžić, A., Salibašić, D., and Erceg, N. (2015). Comparing the Impact of Dynamic and Static Media on Students' Learning of One-Dimensional Kinematics. Eurasia Journal of Mathematics, Science and Technology Education, 11(5), pp. 1119-1140. https://doi.org/10.12973/eurasia.2015.1385a

MLA

Mešić, Vanes et al. "Comparing the Impact of Dynamic and Static Media on Students' Learning of One-Dimensional Kinematics". Eurasia Journal of Mathematics, Science and Technology Education, vol. 11, no. 5, 2015, pp. 1119-1140. https://doi.org/10.12973/eurasia.2015.1385a