Teaching physics with interactive computer simulation at secondary level
DOI:
https://doi.org/10.14571/brajets.v14.n1.127-141Abstract
Early research investigated the students understanding of science concepts using physical equipment, such as visiting labs and performing experiments but due to the advancement of new technology, students now can learn complex science concepts through advanced means, such as iPad, smart books and simulations. In Pakistan, interactive computer simulation program is rarely used for teaching at the early ages. The aim of the present study is to evaluate the effectiveness of the interactive computer simulation program PhET to teach weight and mass concepts to high school students. Quasi-experimental design was used to study the effect of the interactive computer simulation on students’ physics concepts. Study also explored the student’s engagement with simulation to exercise high order thinking skills. The experimental group was taught with the interactive computer simulation program, and the control group was taught with traditional teaching method. There were five lessons each week, and the program was used for a month. Pre- and post-tests were designed for both experimental and control groups. Independent sample t-tests showed that the difference was significant between the mean scores of the experimental and control groups after the experiment (p<0.001). The paired sample t-test showed that there was a significant difference in the mean scores of pre- and post-test of the experimental group (p<0.01). The effect size, 0.97 was also found to determine the magnitude of the difference through Pearson’s correlation coefficient r, and a very large effect was identified. Apart from the quantitative data, interviews with teachers and focus group discussions were held to learn the teachers’ and students’ views. The qualitative data concluded that students showed an interest in using simulation, teachers and students appreciated the simulation program for teaching complex physics concepts. The results provided a case for using Information communication technology to improve students’ physics learning. Information communication technology is intended to reduce the culture of rote memorization among students.References
Aftab, M., & Ismail, I. (2015). DEFEATING POVERTY THROUGH EDUCATION: THE ROLE OF ICT. Transformations in Business & Economics, 14(3).
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 665-694.
Akpan, J. P., & Andre, T. (1999). The effect of a prior dissection simulation on middle school students' dissection performance and understanding of the anatomy and morphology of the frog. Journal of Science Education and Technology, 8(2), 107-121.
Alfajjam H. Teaching Primary Science with Computer Simulation–an Intervention Study in State of Kuwait. Doctoral dissertation, Durham University. 2013, pp. 1-322.
Bell, R. L., & Smetana, L. K. (2008). Using computer simulations to enhance science teaching and learning. National Science Teachers Association, 3, 23-32.
Bullock, E. P., Moyer-Packenham, P., Shumway, J. F., MacDonald, B., & Watts, C. (2015, March). Effective teaching with technology: Managing affordances in iPad apps to promote young children’s mathematics learning. In Society for Information Technology & Teacher Education International Conference (pp. 2648-2655). Association for the Advancement of Computing in Education (AACE).
Clark, D., Nelson, B., Sengupta, P., & D’Angelo, C. (2009, October). Rethinking science learning through digital games and simulations: Genres, examples, and evidence. In Learning science: Computer games, simulations, and education workshop sponsored by the National Academy of Sciences, Washington, DC.
Clements DH, Sarama J. Strip mining for gold: Research and policy in educational technology— A response to “Fool’s Goldâ€. AACE Journal. 2003, 11 (1), pp. 7-69. Cobb, P. (1994). Where is the mind? Constructivist and sociocultural perspectives on mathematical development. Educational researcher, 23(7), 13-20.
Cobb, P. (1994). Where is the mind? Constructivist and sociocultural perspectives on mathematical development. Educational researcher, 23(7), 13-20.
Coe, R. (2004). Issues arising from the use of effect sizes in analysing and reporting research. National Foundation for Educational Research. Coffman T. Using Simulations to Enhance Teaching and Learning. Virginia Society for Technology in Education.2006, 21 (2), pp. 1-6.
Cohen L, Manion L. Research methods in education. London: Routledge. 2009.
Coffman, T. (2006). Using Simulations to Enhance Teaching and Learning. Virginia Soc. Technol. Educ. J, 21(2), 1-6.
Cohen, L., Manion, L., & Morrison, K. (2007). The ethics of educational and social research. Louise Cohen, Lawrence Manion, and Keith Morrison. Research methods in education. Sixth edition. London: Routledge, 51-77.
Creswell, J. W. (2011). Controversies in mixed methods research. The Sage handbook of qualitative research, 4, 269-284.
Ellis, V., & Loveless, A. (Eds.). (2013). ICT, pedagogy and the curriculum: Subject to change.
Routledge.
Evagorou, M., Korfiatis, K., Nicolaou, C., & Constantinou, C. (2009). An investigation of the potential of interactive simulations for developing system thinking skills in elementary school: a case study with fifthâ€graders and sixthâ€graders. International Journal of Science Education, 31(5), 655-674.
Falloon, G. (2019). Using simulations to teach young students science concepts: An Experiential
Learning theoretical analysis. Computers & Education, 135, 138-159.
Flaws in Pakistan's Educational System. https://tribune.com.pk/story/1896041/6-
Flaws-pakistans-education-system/. Date accessed: 05/01/2019.
Field, A. P., & Wright, D. B. (2006). A bluffer’s guide to effect sizes. PsyPAG Quarterly, 58, 9-23.
General Guidelines for conducting interviews. https://www.scribd.com/document/250844722/General-Guidelines-for-Conducting-Interviews. Date accessed: 2007.
Gibbs A. Focus groups. Social research update. 1997, 19 (8), pp. 1-8.
Haag S, Dawkins J. Management information systems for the information age. McGraw-Hill.
Hewson PW, Hewson MGAB. The Role of Conceptual Conflict in Conceptual Change and the
Design of Science Instruction. Instructional Science. 1984, 13 (1), pp. 1-13.
Holec, S., SPODNIAKOVÁ PFEFFEROVÁ, M., & Raganová, J. (2004). Computer simulations in mechanics at the secondary School. Informatics in Education, 3(2), 229-238.
Husain, N. (2010). Computer-based instructional simulations in education: Why and how. Journal of Indian Education, 144-156.
Hussain, I., & Safdar, M. (2008). Note For Editor: Role Of Information Technologies In Teaching Learning Process: Perception Of The Faculty. Turkish online journal of distance Education, 9(2), 46-56.
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), 183-204.
Jaakkola, T., & Nurmi, S. (2008). Fostering elementary school students’ understanding of simple electricity by combining simulation and laboratory activities. Journal of Computer Assisted Learning, 24(4), 271-283.
Kollöffel, B., & de Jong, T. (2013). Conceptual understanding of electrical circuits in secondary
vocational engineering education: Combining traditional instruction with inquiry learning
in a virtual lab. Journal of engineering education, 102(3), 375-393.
Lazonder, A. W., & Ehrenhard, S. (2014). Relative effectiveness of physical and virtual manipulatives for conceptual change in science: how falling objects fall. Journal of computer assisted learning, 30(2), 110-120.
Larkin, K. (2016). Mathematics Education and Manipulatives: Which, When, How?. Australian Primary Mathematics Classroom, 21(1), 12-17.
Li, G., Sun, Z., & Jee, Y. (2019). The more technology the better? A comparison of teacher-student interaction in high and low technology use elementary EFL classrooms in China. System, 84, 24-40.
Lieberman, D. A., Bates, C. H., & So, J. (2009). Young children's learning with digital media. Computers in the Schools, 26(4), 271-283.
Linn, M. C., Chang, H. Y., Chiu, J., Zhang, H., & McElhaney, K. (2010). Can desirable difficulties overcome deceptive clarity in scientific visualizations. Successful remembering and successful forgetting: A Festschrift in honor of Robert A. Bjork, 239-262.
Mayer, R. E. (1992). Thinking, problem solving, cognition. WH Freeman/Times Books/Henry Holt & Co.
McNamara, C. (1999). General guidelines for conducting interviews, Minnesota. Missouri Institute of science.
Physics Education Technology Project. https://www.researchgate.net/publication/253846748_
The_Physics_Education_Technology_Project_Webbased_interactive_simulations_to_support_student_learning. Date accessed: 05/2004.
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(2), 211-227.
Rosen, D., & Hoffman, J. (2009). Integrating concrete and virtual manipulatives in early childhood mathematics. YC Young Children, 64(3), 26.
Raymond, C. (2010). Do role-playing simulations generate measurable and meaningful outcomes? A simulation’s effect on exam scores and teaching evaluations. International Studies Perspectives, 11(1), 51-60.
Khan, N., & Ali, H. (2005). Flaws in Pakistan's educational system. Journal of Social Sciences, 4(1), 10-56.
Sanger, M. J., & Greenbowe, T. J. (2000). Addressing student misconceptions concerning electron flow in aqueous solutions with instruction including computer animations and conceptual change strategies. International Journal of science education, 22(5), 521-537.
Selley, N. (2013). Art of constructivist teaching in the primary school: A guide for students and teachers. Routledge.
Shayer, M. (2003). Not just Piaget; not just Vygotsky, and certainly not Vygotsky as alternative to Piaget. Learning and instruction, 13(5), 465-485.
Shin, M., Bryant, D., Bryant, B., McKenna, J., Hou, F., & Ok, M. (2017). Virtual manipulative tools for teaching mathematics to students with learning disabilities.Intervention in School and Clinic, 52(3), 148–153.
Shadish, W. R., Cook, T. D., & Campbel, D. T. (2002). Experimental and Quasi-experimental
Designs for Generalized Causal Inferenc. . Paper presented at the Boston: Houghton- Mifflin.
Stevens, J. M. (1995). The impact of computers on attitudes toward learning in sixth-grade science students.
Steen, K., Brooks, D., & Lyon, T. (2006). The impact of virtual manipulatives on first grade geometry instruction and learning. Journal of Computers in Mathematics and Science Teaching, 25(4), 373-391.
Strayer, J. F. (2016). Designing Instruction for Flipped Classrooms. Instructional-design theories and models, Volume â…£: The Learner-centered paradigm of education, 321-349.
Tekos, G., & Solomonidou, C. (2009). Constructivist learning and teaching of optics concepts using ICT tools in Greek primary school: A pilot study. Journal of Science Education and Technology, 18(5), 415-428.
Trowbridge, D. E., & McDermott, L. C. (1980). Investigation of student understanding of the concept of velocity in one dimension. American journal of Physics, 48(12), 1020-1028.
VerenIkIna, I., HerrIngton, J., Peterson, R., & Mantei, J. (2010). Computers and play in early childhood: Affordances and limitations. Journal of Interactive Learning Research, 21(1), 139-159.
Vygotsky, L. S. (1978). Socio-cultural theory. Mind in society, 52-58.
Wang, F., Kinzie, M. B., McGuire, P., & Pan, E. (2010). Applying technology to inquiry-based learning in early childhood education. Early Childhood Education Journal, 37(5), 381-389.
Wang, T. L., & Tseng, Y. K. (2018). The comparative effectiveness of physical, virtual, and virtual-physical manipulatives on third-grade students’ science achievement and conceptual understanding of evaporation and condensation. International Journal of Science and Mathematics Education, 16(2), 203-219.
Wieman, C. E., & Perkins, K. K. (2006). A powerful tool for teaching science. Nature physics, 2(5), 290-292.
Wilson, A. P. (2016). Computer Simulations and Inquiry Based Activities in an 8th Grade Earth Science Classroom.
Zacharia, Z. C., Loizou, E., & Papaevripidou, M. (2012). Is physicality an important aspect of learning through science experimentation among kindergarten students?. Early Childhood Research Quarterly, 27(3), 447-457.
Zacharias, Z., Olympiou, G., & Papaevripidou, M. (2008). Effects of experimenting with physical and virtual manipulatives on students' conceptual understanding in heat and temperature. Journal of Research in Science Teaching, 45(9), 1021–1035.