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  • Adams, W. K. (2010). Student engagement and learning with PhET interactive simulations. Teaching Learning Proceedings. doi: 10.1393/ncc/i2010-10623-0
  • Akpan, J., & Strayer, J. (2010). Which comes first the use of computer simulation of frog dissection or conventional dissection as academic exercise? Journal of Computers in Mathematics and Science Teaching, 29(2), 113138.
  • Albe, V., Venturini, P., & Lascours, J. (2001). Electromagnetic concepts in mathematical representation of physics. Journal of Science Education and Technology, 10(2), 197203.
  • Bao, L., & Redish, E. F. (2001). Concentration analysis: A quantitative assessment of student states. American Journal of Physics, 69(7), S45S53.
  • Bao, L., & Redish, E. F. (2006). Model analysis: Representing and assessing the dynamics of student learning. Physical Review Special Topics—Physics Education Research, 2(1), 010103.
  • Baser, M. (2006). Effects of conceptual change and traditional confirmatory simulations on pre-service teachers' understanding of direct current circuits. Journal of Science Education and Technology, 15(5), 367381.
  • Baser, M., & Durmus, S. (2010). The effectiveness of computer supported versus real laboratory inquiry learning environments on the understanding of direct current electricity among pre-service elementary school teachers. Eurasia Journal of Mathematics Science & Technology Education, 6(1), 4761.
  • Baser, M., & Geban, O. (2007). Effect of instruction based on conceptual change activities on students' understandings of static electricity concepts. Research in Science & Technological Education, 25(2), 243267.
  • Bayraktar, S. (2002). A meta-analysis of the effectiveness of computer-assisted instruction in science education. Journal of Research on Technology in Education, 34(2), 173188.
  • Bell, R. L., & Trundle, K. C. (2008). The use of a computer simulation to promote scientific conceptions of moon phases. Journal of Research in Science Teaching, 45(3), 346372.
  • Chabay, R., & Sherwood, B. (2006). Restructuring the introductory electricity and magnetism course. American Journal of Physics, 74(4), 329336.
  • Chan, C., Burtis, J., & Bereiter, C. (1997). Knowledge building as a mediator of conflict in conceptual change. Cognition and Instruction, 15(1), 140.
  • Chi, M. T. H. (2005). Commonsense conceptions of emergent processes: Why some misconceptions are robust. The Journal of the Learning Sciences, 14(2), 161199.
  • Chinn, C. A., & Brewer, W. F. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science education. Review of Educational Research, 63(1), 149.
  • Chinn, C. A., & Samarapungavan, A. (2009). Conceptual change-multiple routes, multiple mechanisms: A commentary on Ohlsson (2009). Educational Psychologist, 44(1), 4857.
  • Clark, D. B. (2006). Longitudinal conceptual change in students' understanding of thermal equilibrium: An examination of the process of conceptual restructuring. Cognition and Instruction, 24(4), 467563.
  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155159.
  • Coletta, V. P., Phillips, J. A., & Steinert, J. J. (2007). Interpreting force concept inventory scores: Normalized gain and SAT scores. Physical Review Special Topics—Physics Education Research, 3(1), 010106.
  • Dega, B. G., Kriek, J., & Mogese, T. F. (2012). Categorization of alternative conceptions in electricity and magnetism: The case of Ethiopian undergraduate students. Research in Science Education. doi: 10.1007/s11165-012-9332-z
  • Demastes, S., Settlage, J., & Good, R. (1995). Students' conceptions of natural selection and its role in evolution: Cases of replication and comparison. Journal of Research in Science Teaching, 32(5), 535550.
  • Ding, L., & Beichner, R. (2009). Approaches to data analysis of multiple-choice questions. Physical Review Special Topics—Physics Education Research, 5, 117.
  • diSessa, A. A., Gillespie, N., & Esterly, J. (2004). Coherence versus fragmentation in the development of the concept of force. Cognitive Science, 28(6), 843900.
  • Dreyfus, A., Jungwirth, E., & Eliovitch, R. (1990). Applying the cognitive conflict strategy for conceptual change—Some implications, difficulties, and problems. Science Education, 74(5), 555569.
  • Driver, R., Asoko, H., Leach, J., Mortimer, E., & Scott, P. (1994). Constructing scientific knowledge in the classroom. Educational Researcher, 23(7), 512.
  • Duit, R., & Treagust, D. (2003). Conceptual change: A powerful framework for improving science teaching and learning. International Journal of Science education, 25(6), 671688.
  • Dykstra, D. I., Boyle, C. F., & Monach, I. A. (1992). Studying conceptual change in learning physics. Science Education, 76(6), 615652.
  • Finkelstein, N. (2005). Learning physics in context: A study of student learning about electricity and magnetism. International Journal of Science Education, 27(10), 11091187.
  • Finkelstein, N. D., Adams, W. K., Keller, C. J., Kohl, P. B., Perkins, K. K., Podolefsky, N. S., … LeMaster, R. (2005). When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipment. Physical Review Special Topics—Physics Education Research, 1(1), 010103.
  • Fosnot, C. T. (1993). Science education revisited: A defense of Piagetian constructivism. Journal for Research in Science Education, 30(9), 11201189.
  • Foti, S., & Ring, G. (2008). Using a simulation-based learning environment to enhance learning and instruction in a middle school science classroom. Journal of Computers in Mathematics and Science Teaching, 27(1), 103120.
  • Grayson, D. J. (1994). Concept substitution: An instructional strategy for promoting conceptual change. Research in Science Education, 24, 102111.
  • Greca, I., & Moreira, M. A. (1997). The kind of mental representation—Models, propositions, and images-used by college physics students regarding the concept of field. International Journal of Science Education, 19(6), 711724.
  • Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 6474.
  • Hand, B., & Treagust, D. F. (1991). Student achievement and science curriculum development using a constructive framework. School Science and Mathematics, 91(4), 172176.
  • Harrison, A. G., Grayson, D. J., & Treagust, D. F. (1999). Investigating a grade 11 student's evolving conceptions of heat and temperature. Journal of Research in Science Teaching, 36(1), 5587.
  • Hewson, M. G., & Hewson, P. W. (1983). Effect of instruction using students' prior knowledge and conceptual change strategies on science learning. Journal of Research in Science Teaching, 20, 731743.
  • Hewson, P. W., & Hewson, M. G. (1984). The role of conceptual conflict in conceptual change and the design of science instruction. Instructional Science, 13, 113.
  • Hewson, P. W., & Thorley, R. (1989). The conditions of conceptual change in the classroom. International Journal of Science Education, 11, 541553.
  • Howe, A., Keogh-Brown, M., Miles, S., & Bachmann, M. (2007). Expert consensus on contamination in educational trials elicited by a Delphi exercise. Medical Education, 41(2), 196204.
  • Hsu, Y. S. (2008). Learning about seasons in a technologically enhanced environment: The impact of teacher-guided and student-centered instructional approaches on the process of students' conceptual change. Science Education, 92(2), 320344.
  • Huppert, J., Lomask, S. M., & Lazarowitz, R. (2002). Computer simulations in the high school: Students' cognitive stages, science process skills and academic achievement in microbiology. International Journal of Science Education, 24(8), 803821.
  • Ioannides, C., & Vosniadou, S. (2002). The changing meaning of force. Cognitive Science Quarterly, 2(1), 561.
  • İpek, H., & Çalık, M. (2008). Combining different conceptual change methods within four-step constructivist teaching model: A sample teaching of series and parallel circuits. International Journal of Environmental & Science Education, 3(3), 143153.
  • Jaakkola, T., Nurmi, S., & Veermans, K. (2011). A comparison of students' conceptual understanding of electric circuits in simulation only and simulation-laboratory contexts. Journal of Research in Science Teaching, 48(1), 7193.
  • Jimoyiannis, A., & Komis, V. (2001). Computer simulations in physics teaching and learning: A case study on students' understanding of trajectory motion. Computers & Education, 36(2), 183204.
  • Keiny, S. (2008). Conceptual change as both revolutionary and evolutionary process. Teachers and Teaching: Theory and Practice, 14(1), 6172.
  • Keogh-Brown, M. R., Bachmann, M. O., Shepstone, L., Hewitt, C., Howe, A., Ramsay, C.R., … Campbell, M.J. (2007). Contamination in trials of educational interventions. Health Technology Assessment, 11(43), iiiix.
  • Lasry, N., Rosenfield, S., Dedic, H., Dahan, A., & Reshef, O. (2011). The puzzling reliability of the force concept inventory. American Journal of Physics, 79, 909912.
  • Lee, G., & Byun, T. (2012). An explanation for the difficulty of leading conceptual change using a counterintuitive demonstration: The relationship between cognitive conflict and responses. Research in Science Education, 42(5), 943965.
  • Li, S. C. (2011). Cognitive perturbation and conceptual change in learning about marine ecology with dynamic modeling. International Journal of Instructional Media, 38(4), 359367.
  • Li, S. C., Law, N., & Lui, K. F. A. (2006). Cognitive perturbation through dynamic modeling: A pedagogical approach to conceptual change in science. Journal of Computer Assisted Learning, 22(6), 405422.
  • Limon, M. (2001). On the cognitive conflict as an instructional strategy for conceptual changes: A critical appraisal. Learning and Instruction, 36(4-5), 357380.
  • Linder, C. J. (1993). A challenge to conceptual change. Science Education, 77, 293300.
  • Maloney, D. P., O'Kuma, T. L., Hieggelke, C. J., & Heuvelen, A. V. (2001). Surveying students' conceptual knowledge of electricity & magnetism. American Journal of Physics, S69(7), 1223.
  • Maloney, D. P., & Siegler, R. S. (1993). Conceptual competition in physics learning. International Journal of Science Education, 15, 283295.
  • Marx, J. D., (1998). Creation of a diagnostic exam for introductory, udergraduate electricity and magnetism (Doctoral dissertation, Rensselaer Polytechnic Institute). Retrieved from http://www.compadre.org/Repository/document/ServeFile.cfm?ID=3786&DocID=114. Accessed 5 December 2010.
  • Ministry of Education [MOE], (2008). Annual intake and enrollment growth and professional and program mix of Ethiopian public higher education: Strategy and conversion plan, 2001–2005 E.C. Ministry of Education, Addis Ababa, April 2008.
  • Moore, J. L., & Thomas, F. H. (1983). Computer simulation of experiments: A valuable alternative to traditional laboratory work for secondary school science teaching. School Science Review, 64(229), 641655.
  • Nussbaum, J., & Novice, S. (1982). Alternative frameworks, conceptual conflict and accommodation: Toward a principled teaching strategy. Instructional Science, 11(3), 183200.
  • Özdemir, G., & Clark, D. B. (2007). An overview of conceptual change theories. Eurasia Journal of Mathematics Science & Technology Education, 3(4), 351361.
  • Pallant, J. (2007). SPSS survival manual: A step by step guide to data analysis using SPSS for windows (3rd ed.). Sydney: Open University.
  • Pepper, R. E., Chasteen, S. V., Pollock, S. J., & Perkins, K. K. (2010). Our best juniors still struggle with Gauss's law: Characterizing their difficulties. PERC Proceedings, 1289(245).
  • Pinarbasi, T., Canpolat, N., & Bayrakceken, S. (2006). An investigation of effectiveness of conceptual change text-oriented instruction on students' understanding of solution concepts. Research in Science Education, 36, 313335.
  • Pintrich, P. R., Marx, R. W., & Boyle, R. A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 6, 167199.
  • Planinic, M. (2006). Assessment of difficulties of some conceptual areas from electricity and magnetism using the conceptual survey of electricity and magnetism. American Journal of Physics, 73(12), 11431148.
  • Planinic, M. (2007). Conceptual change requires insight and intervention. Physics Education, 42(2), 222223.
  • Planinic, M., Krsnik, R., Pecina, P., & Susac, A., (2005) Overview and comparison of basic teaching techniques that promote conceptual change in students. A paper presented at the first European physics education conference. Bad Honnef, July 4–7, 2005, Germany.
  • Posner, G. J., Strike, K. A., Hewson, P. W., & Gertzog, W. A. (1982). Accommodation of a scientific conception: Toward a theory of conceptual change. Science Education, 66, 211227.
  • Punch, K. F. (2009). Introduction to research methods in education. London: SAGE.
  • Pyatt, K., & Sims, R. (2012). Virtual and physical experimentation in inquiry-based science labs: Attitudes, performance and access. Journal of Science Education and Technology, 21(1), 133147.
  • Rosen, Y., & Salomon, G. (2007). The differential learning achievements of constructivist technology-intensive learning environments as compared with traditional ones: A meta-analysis. Journal of Educational Computing Research, 36(1), 114.
  • Rosenthal, A. S., & Henderson, C. (2006). Teaching about circuits at the introductory level: An emphasis on potential difference. American Journal of Physics, 74(4), 324328.
  • Rutten, N., van Joolingen, W. R., & van der Veen, J. T. (2012). The learning effects of computer simulations in science education. Computers & Education, 58(1), 136153.
  • Saglam, M., & Millar, R., (2004). Diagnostic test of students' ideas in electromagnetism. Retrieved from http://www.york.ac.uk/depts/educ/research/ResearchPaperSeries/index.htm. Accessed 29 October 2010.
  • Saglam, M., & Millar, R. (2006). Upper high school students' understanding of electromagnetism. International Journal of Science Education, 28(5), 543566.
  • Semela, T. (2010). Who is joining physics and why? Factors influencing the choice of physics among Ethiopian university students. International Journal of Environmental & Science Education, 5(3), 319340.
  • Sink, C. A., & Stroh, H. R. (2006). Practical significance: The use of effect sizes in school counseling research. Professional School Counseling, 9(4), 401411.
  • Stocklmayer, S. (2010). Teaching direct current theory using a field model. International Journal of Science Education, 32(13), 18021828.
  • Stofflett, R. T., & Stoddart, T. (1994). The ability to understand and use conceptual change pedagogy as a function of prior content learning experience. Journal of Research in Science Teaching, 31(1), 3151.
  • Stone, D. C. (2007). Teaching chromatography using virtual laboratory exercises. Journal of Chemical Education, 84, 1488.
  • Tao, P. K., & Gunstone, R. F. (1999). The process of conceptual change in force and motion during computer-supported physics instruction. Journal of Research in Science Teaching, 36(7), 859882.
  • Treagust, D., & Duit, R. (2008). Conceptual change: A discussion of theoretical, methodological and practical challenges for science education. Cultural Studies of Science Education, 3(2), 297328.
  • Urban-Woldron, H. (2009). Interactive simulations for the effective learning of physics. Journal of Computers in Mathematics and Science Teaching, 28(2), 163176.
  • Vosniadou, S. (1999). Conceptual change research: State of the art and future directions. In W. Schnotz, S. Vosniadou, & M. Carretero (Eds.), new perspectives in conceptual change (pp. 313). New York: Pergamon.
  • Vosniadou, S. (2007). Conceptual change and education. Human Development, 50, 4754.
  • Vosniadou, S., & Brewer, W. F. (1992). Mental models of the earth. A study of conceptual change in childhood. Cognitive Psychology, 24, 535585.
  • Wellman, H. M., & Gelman, S. (1992). Cognitive development: Foundational theories of core domains. Annual Review of Psychology, 43, 337375.
  • Wieman, C. E., Adams, W. K., & Perkins, K. K. (2008). PhET: Simulations that enhance learning. Science, 322(5902), 682683.
  • Winn, W., Stahr, F., Sarason, C., Fruland, R., Oppenheimer, P., & Lee, Y. L. (2006). Learning oceanography from a computer simulation compared with direct experience at sea. Journal of Research in Science Teaching, 43(1), 2542.
  • Zacharia, Z. C. (2005). The impact of interactive computer simulations on the nature and quality of postgraduate science teachers' explanations in physics. International Journal of Science Education, 27(14), 17411767.
  • Zacharia, Z. C. (2007). Comparing and combining real and virtual experimentation: An effort to enhance students' conceptual understanding of electric circuits. Journal of Computer Assisted Learning, 23(2), 120132.
  • Zacharia, Z., & Anderson, O. R. (2003). The effects of an interactive computer-based simulation prior to performing a laboratory inquiry-based experiment on students' conceptual understanding of physics. American Journal of Physics, 71(6), 618629.
  • Zohar, A., & Aharon-Kravetsky, S. (2005). Exploring the effects of cognitive conflict and direct teaching for students of different academic levels. Journal of Research in Science Teaching, 42(7), 829855.