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Aug 12, 2022
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Abstract
Physics is a theoretical science, understanding the concepts requires actual visual representations and models. Physics instructors should teach physics using inquiry, discovery, demonstration, simulation, practical work, lab-based activities, and other practical experiences. The current status of knowledge and practice regarding interactive simulation in the teaching of modern physics is presented in this systematic literature review. By methodically evaluating and summarizing the most pertinent previous research publications published from December 2002 to January 2022, it offers guidance for instructional designers and scholars. After careful consideration and screening, a total of eleven studies were chosen for a thorough analysis and synthesis. The results showed that the objective of the research studies on using interactive simulation in modern physics is to enhance students' critical thinking skills and creative problem-solving skills. It has been demonstrated that interactive simulation technologies like Java applets and Physics Education Technology (PhET) are successful at teaching modern physics. The success or failure of employing interactive simulation is influenced by teachers, school staff, students, simulation design, and technology used. The findings imply that educational institutions should provide teachers and administrators with tutorials and training, and this review recommend that the interactive simulation should be available and that a gadget-friendly simulation must be developed.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Candido, K. J. O., Gillesania, K. C. C., Mercado, J. C., & Reales, J. M. B. (2022). Interactive Simulation on Modern Physics: A Systematic Review. International Journal of Multidisciplinary: Applied Business and Education Research, 3(8), 1452-1462. https://doi.org/10.11594/ijmaber.03.08.08
References
Açıkgöz, K. U. (2002). Active Learning İzmir: World of Education Press.
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and be-liefs about information technology usage. MIS quarterly, 665-694.
Aminoto, T., Pujaningsih, F. B., Dani, R., & Riantoni, C. (2021). Assessing pre-service physics teachers’ competencies in designing photo-electric effect experiment using PhET simulation. Journal of Physics: Conference Series, 1876(1) doi: https://doi.org/10.1088/1742-6596/1876/1/012065
Baran, M. & Maskan, A.K. (2010). The Effect of Project-Based Learning on Pre-Service Physics Teachers Electrostatic Achievements, Cypriot Journal of Ed-ucational Sciences, 5(4).
Başa, S. (2010). Effects of Multiple Intelligences Instruc-tion Strategy on Students’ Achievement Levels and Attitudes towards English Lesson. Cypriot Journal of Educational Sciences, 5, 167-180
Bray A., Williams J., (2020). Why is physics hard? Un-packing students’ perceptions of physics. Interna-tional Conference on Physics Education (ICPE). doi:10.1088/1742-6596/1512/1/012002. Ac-cessed date: April 17, 2022
Bringula, R. P., Sarmiento, J. J. M., & Basa, R. S. (2017). Computer self-efficacy and its relationship with web portal usage: Evidence from the University of the East. arXiv preprint arXiv:1707.02435.
Brunsell, E., & Horejsi, M. (2013). Flipping Your Class-room in One “Take.” The Science Teacher, 80(3), 8.
Cano, E.M., Ruiz, J. G. & Garcia, I.A. (2013). Integrating a Learning Constructionist Environment and the In-structional Design Approach into the Definition of a Basic Course for Embedded Systems Design. Computer Applications in Engineering Education, 23(1), 36-53.
Clark, D., Nelson, B., Sengupta, P., & D’Angelo, C. (2009, October). Rethinking science learning through dig-ital 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.
Coffman, T. (2006). Using Simulations to Enhance Teach-ing and Learning. Virginia Soc. Technol. Educ. J, 21(2), 1-6
Covill, A. E. (2011). College Students’ Perceptions of the Traditional Lecture Method. College Student Jour-nal, 45(1), 92–101.
Dalagan, A. M., & Mistades, V. M. (2010). Students’ be-liefs and attitudes toward learning in the physics component of the lasallian (general education) core curriculum. KBM Journal of Science Educa-tion, 1, 1-6. https://doi.org/10.5147/ajse.v1i1.62
Demirci, N. (2015). Prospective High School Physics Teachers’ Beliefs about Teaching Practices: From Traditionalist to Constructivist. Eurasia Journal of Mathematics, Science & Technology Education, 11(3), 693-711.
Dykstra Jr, D. I., Boyle, C. F., & Monarch, I. A. (1992). Studying conceptual change in learning physics. Science Education, 76(6), 615-652.
Esquembre, F., (2004). Easy Java Simulations: a software tool to create scientific simulations in Java. , 156(2), 199–204. doi:10.1016/s0010-4655(03)00440-5\
Fallon, C. K., Gonzalez, C., & Gutzwiller, R. S. (2019, No-vember). Opportunities and challenges for human-machine teaming in cybersecurity operations. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 63, No. 1, pp. 442-446). Sage CA: Los Angeles, CA: SAGE Publications.
Finkelstein, N., Reid, S., Wieman, C., & LeMaster, R. (2006). PhET: Interactive simulations for teaching and learning physics. The physics teacher, 44(1), 18-23.
Gok, T. (2011). An evaluation of student response sys-tems from the viewpoint of instructors and stu-dents. Turkish Online Journal of Educational Technology-TOJET, 10(4), 67-83.
Gunawan, G., Suranti, N. M. Y., Nisrina, N., Ekasari, R. R., & Herayanti, L. (2018). The effect of virtual labs to-ward students' understanding of physics based on gender. Advances in Social Science, Education and Humanities Research, 173(1), 128-131.
Jimoyiannis, A. & Komis, V. (2000). Computer simula-tions in physics teaching and learning: A case study on students’ understanding of trajectory motion. Computers & Education, 36(2), 183-204. https://doi.org/10.1016/S0360-1315(00)00059-2
Kazymyr, V., Demshevska, N., (n.d.). Application of Java-Technologies for Simulation in the Web. Retrieved from: https://cs.emis.de/LNI/Proceedings/Proceedings02/AppliofJava-TechforSimu_15.pdf
Kocakaya, S., & Gönen, S. (2010). Analysis of Turkish high-school physics-examination questions ac-cording to Bloom’s taxonomy. Asia-Pacific Forum on Science Learning and Teaching, 11(1), 1–14. http://doi.org/10.1039/b2rp90034c
Kollöffel, B., & de Jong, T. (2013). Conceptual under-standing of electrical circuits in secondary voca-tional engineering education: Combining tradi-tional instruction with inquiry learning in a virtual lab. Journal of engineering education, 102(3), 375-393.
Kreshchuk, M. (2023). Quantum simulation of quantum field theory in the front form (Order No. 28719090). Available from ProQuest Central. (2587068248). Retrieved from https://www.proquest.com/dissertations-theses/quantum-simulation-field-theory-front-form/docview/2587068248/se-2
Kulik, (2002). Critical issue: Using technology to im-prove students’ achievement. North Central Re-gional Educational Laboratory. https://eric.ed.gov/?id=ED489521
Lederman, G., Abell, S., (2020). Handbook of Research on Science Education, Volume II, Volume 2
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P., ... & Moher, D. (2009). The PRISMA statement for reporting sys-tematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of clinical epidemiology, 62(10), e1-e34.
Lopez, J. A., Suskavcevic, M., & Velasco, C. (2018). Mod-ern Physics Simulations. arXiv preprint arXiv:1811.09363.
Michielsen, K., & De Raedt, H. (2014). Event-based simu-lation of quantum physics experiments. Interna-tional Journal of Modern Physics.C, Physics and Computers, 25(8) doi: https://doi.org/10.1142/S0129183114300036
Moher et al., (2009). “The PRISMA Group Preferred Re-porting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement”. PLoS Med 6(7): e1000097. DOI: 10.1371/journal.pmed1000097, 2009.
Moore, Emily B.; Chamberlain, Julia M.; Parson, Robert; Perkins, Katherine K. (2014). PhET Interactive Simulations: Transformative Tools for Teaching Chemistry. Journal of Chemical Education, 91(8), 1191–1197. doi:10.1021/ed4005084
Noce, C. (2022). Dimensionality of the Superconductivity in the Transition Metal Pnictide WP. Materials, 15(3), 1027.
Oidov, L., Tortogtokh, U., & Purevdagva, E. (2012). Virtu-al laboratory for physics teaching. In International Conference on Management and Education Inno-vatio, IPEDR (Vol. 37, pp. 319-323).
Perkins, K. K., & Adams, W. K. (2008). Oersted Medal Lecture 2007: Interactive simulations for teaching physics: What works, what doesn’t, and why.
Rehman, N., Zhang, W., Mahmood, A., & Alam, F. (2021). Teaching physics with interactive computer simu-lation at secondary level. Cadernos de Educação Tecnologia e Sociedade, 14(1), 127-141.
Rutten, N., Van Joolingen, W. R., & Van Der Veen, J. T. (2012). The learning effects of computer simula-tions in science education. Computers & educa-tion, 58(1), 136-153.
Sajeva, Marco (2006). E-learning: Web-based education. Current Opinion in Anaesthesiology, 19(6), 645–649. doi:10.1097/aco.0b013e328010bec8
Supurwoko, Cari, Sarwanto, Sukarmin, Fauzi, A., Faradil-la, L., & Tiarasita, S. D. (2017).
Sutarno, S., Setiawan, A., Kaniawati, I., & Suhandi, A. (2019). The development of higher order thinking virtual laboratory on photoelectric effect. Journal of Physics: Conference Series, 1157(3) doi: https://doi.org/10.1088/1742-6596/1157/3/032034
Swandi, A., Amin, B. D., Viridi, S., & Eljabbar, F. D. (2020). Harnessing technology-enable d active learning simulations (TEALSim) on modern physics con-cept. Journal of Physics: Conference Series, 1521(2) doi: https://doi.org/10.1088/1742-6596/1521/2/022004
Tawil, M., & Dahlan, A. (2017). Developing students’ creativity through computer simulation based learning in quantum physics learning. Internation-al Journal of Environmental & Science Education, 12(8), 1830-1845.
Tekerek, M., Tekerek, A. & Ercan, O. (2012). Assessment of physics teachers' attitudes towards internet use in terms of some variables. World Journal on Edu-cational Technology,4(1), 43-55.
Tolga, G. O. K. (2011). The effects of the computer simu-lations on students’ learning in physics education. International Journal on New Trends in Education and their Implications, 2(1).
Tripepi, M., (2022). Simulations: From a Last-Minute Resource during the Covid-19 Pandemic to a Valu-able Learning Tool to Retain—A Semester Micro-biology Laboratory Curriculum That Uses Labster as Prelaboratory Activity. ASM Journals. DOI: https://doi.org/10.1128/jmbe.00269-21. Ac-cessed date: Aprl 17, 2022
Using computer simulation to improve high order think-ing skills of physics teacher candidate students in Compton Effect. Journal of Physics: Conference Se-ries, 909(1) doi: https://doi.org/10.1088/1742-6596/909/1/012062
Vegisari, Wilujeng, I., & Hardiyanti, S. (2020). Interactive conceptual instruction model as sisted by PhET simulations on the improvement of physics multi-ple representations. Journal of Physics: Confer-ence Series, 1440(1) doi: https://doi.org/10.1088/1742-6596/1440/1/012030
Wilson, L., (2020). Virtual reality as a platform for re-search in gambling behaviour. Computers in Hu-man Behavior, 107, 106293.
Yam, S., & Rossini, P. (2010). Implementing a project-based learning approach in an introductory prop-erty course (Doctoral dissertation, PRRES).
Zacharia, Zacharias C. (2005). The Impact of Interactive Computer Simulations on the Nature and Quality of Postgraduate Science Teachers’ Explanations in Physics. International Journal of Science Educa-tion, 27(14), 1741–1767. doi:10.1080/09500690500239664
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and be-liefs about information technology usage. MIS quarterly, 665-694.
Aminoto, T., Pujaningsih, F. B., Dani, R., & Riantoni, C. (2021). Assessing pre-service physics teachers’ competencies in designing photo-electric effect experiment using PhET simulation. Journal of Physics: Conference Series, 1876(1) doi: https://doi.org/10.1088/1742-6596/1876/1/012065
Baran, M. & Maskan, A.K. (2010). The Effect of Project-Based Learning on Pre-Service Physics Teachers Electrostatic Achievements, Cypriot Journal of Ed-ucational Sciences, 5(4).
Başa, S. (2010). Effects of Multiple Intelligences Instruc-tion Strategy on Students’ Achievement Levels and Attitudes towards English Lesson. Cypriot Journal of Educational Sciences, 5, 167-180
Bray A., Williams J., (2020). Why is physics hard? Un-packing students’ perceptions of physics. Interna-tional Conference on Physics Education (ICPE). doi:10.1088/1742-6596/1512/1/012002. Ac-cessed date: April 17, 2022
Bringula, R. P., Sarmiento, J. J. M., & Basa, R. S. (2017). Computer self-efficacy and its relationship with web portal usage: Evidence from the University of the East. arXiv preprint arXiv:1707.02435.
Brunsell, E., & Horejsi, M. (2013). Flipping Your Class-room in One “Take.” The Science Teacher, 80(3), 8.
Cano, E.M., Ruiz, J. G. & Garcia, I.A. (2013). Integrating a Learning Constructionist Environment and the In-structional Design Approach into the Definition of a Basic Course for Embedded Systems Design. Computer Applications in Engineering Education, 23(1), 36-53.
Clark, D., Nelson, B., Sengupta, P., & D’Angelo, C. (2009, October). Rethinking science learning through dig-ital 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.
Coffman, T. (2006). Using Simulations to Enhance Teach-ing and Learning. Virginia Soc. Technol. Educ. J, 21(2), 1-6
Covill, A. E. (2011). College Students’ Perceptions of the Traditional Lecture Method. College Student Jour-nal, 45(1), 92–101.
Dalagan, A. M., & Mistades, V. M. (2010). Students’ be-liefs and attitudes toward learning in the physics component of the lasallian (general education) core curriculum. KBM Journal of Science Educa-tion, 1, 1-6. https://doi.org/10.5147/ajse.v1i1.62
Demirci, N. (2015). Prospective High School Physics Teachers’ Beliefs about Teaching Practices: From Traditionalist to Constructivist. Eurasia Journal of Mathematics, Science & Technology Education, 11(3), 693-711.
Dykstra Jr, D. I., Boyle, C. F., & Monarch, I. A. (1992). Studying conceptual change in learning physics. Science Education, 76(6), 615-652.
Esquembre, F., (2004). Easy Java Simulations: a software tool to create scientific simulations in Java. , 156(2), 199–204. doi:10.1016/s0010-4655(03)00440-5\
Fallon, C. K., Gonzalez, C., & Gutzwiller, R. S. (2019, No-vember). Opportunities and challenges for human-machine teaming in cybersecurity operations. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 63, No. 1, pp. 442-446). Sage CA: Los Angeles, CA: SAGE Publications.
Finkelstein, N., Reid, S., Wieman, C., & LeMaster, R. (2006). PhET: Interactive simulations for teaching and learning physics. The physics teacher, 44(1), 18-23.
Gok, T. (2011). An evaluation of student response sys-tems from the viewpoint of instructors and stu-dents. Turkish Online Journal of Educational Technology-TOJET, 10(4), 67-83.
Gunawan, G., Suranti, N. M. Y., Nisrina, N., Ekasari, R. R., & Herayanti, L. (2018). The effect of virtual labs to-ward students' understanding of physics based on gender. Advances in Social Science, Education and Humanities Research, 173(1), 128-131.
Jimoyiannis, A. & Komis, V. (2000). Computer simula-tions in physics teaching and learning: A case study on students’ understanding of trajectory motion. Computers & Education, 36(2), 183-204. https://doi.org/10.1016/S0360-1315(00)00059-2
Kazymyr, V., Demshevska, N., (n.d.). Application of Java-Technologies for Simulation in the Web. Retrieved from: https://cs.emis.de/LNI/Proceedings/Proceedings02/AppliofJava-TechforSimu_15.pdf
Kocakaya, S., & Gönen, S. (2010). Analysis of Turkish high-school physics-examination questions ac-cording to Bloom’s taxonomy. Asia-Pacific Forum on Science Learning and Teaching, 11(1), 1–14. http://doi.org/10.1039/b2rp90034c
Kollöffel, B., & de Jong, T. (2013). Conceptual under-standing of electrical circuits in secondary voca-tional engineering education: Combining tradi-tional instruction with inquiry learning in a virtual lab. Journal of engineering education, 102(3), 375-393.
Kreshchuk, M. (2023). Quantum simulation of quantum field theory in the front form (Order No. 28719090). Available from ProQuest Central. (2587068248). Retrieved from https://www.proquest.com/dissertations-theses/quantum-simulation-field-theory-front-form/docview/2587068248/se-2
Kulik, (2002). Critical issue: Using technology to im-prove students’ achievement. North Central Re-gional Educational Laboratory. https://eric.ed.gov/?id=ED489521
Lederman, G., Abell, S., (2020). Handbook of Research on Science Education, Volume II, Volume 2
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P., ... & Moher, D. (2009). The PRISMA statement for reporting sys-tematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of clinical epidemiology, 62(10), e1-e34.
Lopez, J. A., Suskavcevic, M., & Velasco, C. (2018). Mod-ern Physics Simulations. arXiv preprint arXiv:1811.09363.
Michielsen, K., & De Raedt, H. (2014). Event-based simu-lation of quantum physics experiments. Interna-tional Journal of Modern Physics.C, Physics and Computers, 25(8) doi: https://doi.org/10.1142/S0129183114300036
Moher et al., (2009). “The PRISMA Group Preferred Re-porting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement”. PLoS Med 6(7): e1000097. DOI: 10.1371/journal.pmed1000097, 2009.
Moore, Emily B.; Chamberlain, Julia M.; Parson, Robert; Perkins, Katherine K. (2014). PhET Interactive Simulations: Transformative Tools for Teaching Chemistry. Journal of Chemical Education, 91(8), 1191–1197. doi:10.1021/ed4005084
Noce, C. (2022). Dimensionality of the Superconductivity in the Transition Metal Pnictide WP. Materials, 15(3), 1027.
Oidov, L., Tortogtokh, U., & Purevdagva, E. (2012). Virtu-al laboratory for physics teaching. In International Conference on Management and Education Inno-vatio, IPEDR (Vol. 37, pp. 319-323).
Perkins, K. K., & Adams, W. K. (2008). Oersted Medal Lecture 2007: Interactive simulations for teaching physics: What works, what doesn’t, and why.
Rehman, N., Zhang, W., Mahmood, A., & Alam, F. (2021). Teaching physics with interactive computer simu-lation at secondary level. Cadernos de Educação Tecnologia e Sociedade, 14(1), 127-141.
Rutten, N., Van Joolingen, W. R., & Van Der Veen, J. T. (2012). The learning effects of computer simula-tions in science education. Computers & educa-tion, 58(1), 136-153.
Sajeva, Marco (2006). E-learning: Web-based education. Current Opinion in Anaesthesiology, 19(6), 645–649. doi:10.1097/aco.0b013e328010bec8
Supurwoko, Cari, Sarwanto, Sukarmin, Fauzi, A., Faradil-la, L., & Tiarasita, S. D. (2017).
Sutarno, S., Setiawan, A., Kaniawati, I., & Suhandi, A. (2019). The development of higher order thinking virtual laboratory on photoelectric effect. Journal of Physics: Conference Series, 1157(3) doi: https://doi.org/10.1088/1742-6596/1157/3/032034
Swandi, A., Amin, B. D., Viridi, S., & Eljabbar, F. D. (2020). Harnessing technology-enable d active learning simulations (TEALSim) on modern physics con-cept. Journal of Physics: Conference Series, 1521(2) doi: https://doi.org/10.1088/1742-6596/1521/2/022004
Tawil, M., & Dahlan, A. (2017). Developing students’ creativity through computer simulation based learning in quantum physics learning. Internation-al Journal of Environmental & Science Education, 12(8), 1830-1845.
Tekerek, M., Tekerek, A. & Ercan, O. (2012). Assessment of physics teachers' attitudes towards internet use in terms of some variables. World Journal on Edu-cational Technology,4(1), 43-55.
Tolga, G. O. K. (2011). The effects of the computer simu-lations on students’ learning in physics education. International Journal on New Trends in Education and their Implications, 2(1).
Tripepi, M., (2022). Simulations: From a Last-Minute Resource during the Covid-19 Pandemic to a Valu-able Learning Tool to Retain—A Semester Micro-biology Laboratory Curriculum That Uses Labster as Prelaboratory Activity. ASM Journals. DOI: https://doi.org/10.1128/jmbe.00269-21. Ac-cessed date: Aprl 17, 2022
Using computer simulation to improve high order think-ing skills of physics teacher candidate students in Compton Effect. Journal of Physics: Conference Se-ries, 909(1) doi: https://doi.org/10.1088/1742-6596/909/1/012062
Vegisari, Wilujeng, I., & Hardiyanti, S. (2020). Interactive conceptual instruction model as sisted by PhET simulations on the improvement of physics multi-ple representations. Journal of Physics: Confer-ence Series, 1440(1) doi: https://doi.org/10.1088/1742-6596/1440/1/012030
Wilson, L., (2020). Virtual reality as a platform for re-search in gambling behaviour. Computers in Hu-man Behavior, 107, 106293.
Yam, S., & Rossini, P. (2010). Implementing a project-based learning approach in an introductory prop-erty course (Doctoral dissertation, PRRES).
Zacharia, Zacharias C. (2005). The Impact of Interactive Computer Simulations on the Nature and Quality of Postgraduate Science Teachers’ Explanations in Physics. International Journal of Science Educa-tion, 27(14), 1741–1767. doi:10.1080/09500690500239664