RESEARCH PAPER
The effect of computer simulations on students’ conceptual and procedural understanding of Newton’s second law of motion
 
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1
College of Education, Humanities and Social Sciences, Al Ain University, Al Ain, UAE
 
2
College of Education, United Arab Emirates University, Al Ain, UAE
 
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Humanities and Social Sciences Research Center, Ajman University, Ajman, UAE
 
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Deanship of Research and Graduate Studies, Ajman University, Ajman, UAE
 
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College of Humanities and Sciences, Ajman University, Ajman, UAE
 
 
Online publication date: 2023-04-01
 
 
Publication date: 2023-05-01
 
 
EURASIA J. Math., Sci Tech. Ed 2023;19(5):em2259
 
KEYWORDS
ABSTRACT
This study aims to assess the impact of computer simulations (CSs) within an inquiry-based learning (IBL) environment on grade 11 students’ performance in Newton’s second law of motion (NSLOM). The study sample consisted of 90 male and female students selected from a population of two public schools in Al Ain city in United Arab Emirates (UAE). The study employed a pre- and post-test quasi-experimental design involving four equally distributed grade 11 physics classes: two as experimental groups (EGs) (including 45 CS-bound students studying under scientific inquiry instructions) and the other two as control groups (including 45 CSs-free students studying under traditional face-to-face instructions). Newton’s second law of motion achievement test (NSLMAT) was used to evaluate students’ performance in NSLOM. Descriptive analysis was conducted using effect sizes and a paired-sample t-test. Overall, results suggested that, compared to face-to-face instruction, CSs were more successful in promoting students’ understanding of NSLOM topics. Moreover, EGs showed noticeable conceptual and procedural performance gains. The results indicated that CSs within an IBL environment helped female (d=2.10) and male (d=2.94) students better understand NSLOM conceptual topics. CSs within an IBL environment also helped male (d=0.88) and female (d=0.72) students better understand NSLOM. Finally, if properly designed, CSs within an IBL environment can significantly improve student learning of NSLOM. Therefore, the study recommends creating a supportive learning environment to encourage the use of CSs for purposes other than information presentation. Incorporating simulations into practical activities, problem-solving exercises, or group discussions could improve students’ critical thinking and problem-solving abilities. Allowing students to practice using the simulation before implementing it in actual learning activities is also crucial.
 
REFERENCES (68)
1.
Abdallah, L. N. (2018). Impact of combined explicit reflective nature of science and inquiry-based instruction on middle and high school students’ conceptions of the nature of science [Doctoral dissertation, The British University in Dubai].‏.
 
2.
Abdulrahaman, M. D., Faruk, N., Oloyede, A. A., Surajudeen-Bakinde, N. T., Olawoyin, L. A., Mejabi, O. V., Imam-Fulani, Y. O., Fahm, A. O., & Azeez, A. L. (2020). Multimedia tools in the teaching and learning processes: A systematic review. Heliyon, 6(11), e05312. https://doi.org/10.1016/j.heli....
 
3.
Adam, A. S., Lutfiyah, A., Mubarok, H., & Suprapto, N. (2020). The use of virtual measuring toolkit toward students’ cognitive and procedural knowledge achievements. Journal of Physics: Conference Series, 1491, 012017.‏ https://doi.org/10.1088/1742-6....
 
4.
Adams, W. K., Reid, S., LeMaster, R., McKagan, S. B., Perkins, K. K., Dubson, M., & Wieman, C. E. (2008). A study of educational simulations part 1-Engagement and learning. Journal of Interactive Learning Research, 19(3), 397-419.
 
5.
Al Mansoori, A., Taani, O., Al Aghar, T., & McMinn, M. (2022). Faculty perceptions of blackboard learn as the main platform for teaching and learning. In Proceedings of the 2022 International Arab Conference on Information Technology (pp. 1-7). IEEE. https://doi.org/10.1109/ACIT57....
 
6.
Alam, A. (2020). Test of knowledge of elementary vectors concepts (TKEVC) among first-semester Bachelor of Engineering and Technology students. Periódico Tchê Química [Chemistry Periodical], 17(35), 477-494. https://doi.org/10.52571/PTQ.v....
 
7.
Anderson, L. W., Krathwohl, D. R., & Bloom, B. S. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman.
 
8.
Aoude, M. F. N. (2015). The impact of integrating computer simulations on the achievement of grade 11 Emirati students in uniform circular motion [Master Thesis, United Arab Emirates University, United Arab Emirates]. https://scholarworks.uaeu.ac.a....
 
9.
Ariano, R., Manca, M., Paternò, F., & Santoro, C. (2023). Smartphone-based augmented reality for end-user creation of home automations. Behavior & Information Technology, 42(1), 124-140. https://doi.org/10.1080/014492....
 
10.
Asikhia, O. A. (2010). Students and teachers’ perception of the causes of poor academic performance in Ogun State secondary schools [Nigeria]: Implications for counseling for national development. European Journal of Social Sciences, 13(2), 229-242.
 
11.
Avsec, S. & Kocijancic, S. (2014). Effectiveness of inquiry-based learning: How do middle school students learn to maximize the efficacy of a water turbine? International Journal of Engineering Education, 30(6), 1436-1449.‏.
 
12.
Banda, H. J., & Nzabahimana, J. (2021). Effect of integrating physics education technology simulations on students’ conceptual understanding in physics: A review of literature. Physical Review Physics Education Research, 17(2), 023108. https://doi.org/10.1103/PhysRe....
 
13.
Batuyong, C. T., & Antonio, V. V. (2018). Exploring the Effect of PhET interactive simulation-based activities on students’ performance and learning experiences in electromagnetism. Asia Pacific Journal of Multidisciplinary Research, 6(2), 121-131.
 
14.
Bayrak, C. (2008). Effects of computer simulations programs on university students’ achievements in physics. Turkish Online Journal of Distance Education, 9(4), 53-62.
 
15.
Blake, C., & Scanlon, E. (2007). Reconsidering simulations in science education at a distance: Features of practical use. Journal of Computer Assisted Learning, 23(6), 491-502. https://doi.org/10.1111/j.1365....
 
16.
Bozkurt, E., & Ilik, A. (2010). The effect of computer simulations on students’ beliefs on physics and physics success. Procedia-Social and Behavioral Sciences, 2(2), 4587-4591. https://doi.org/10.1016/j.sbsp....
 
17.
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/ijmab....
 
18.
Coelho, R. L. (2018). On the deduction of Newton’s second law. Acta Mechanica, 229(5), 2287-2290. https://doi.org/10.1007/s00707....
 
19.
Couch, A. S. (2014). The impact of virtual simulations on student comprehension of mechanics [Master’s thesis, Louisiana State University].
 
20.
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed method approaches. SAGE.
 
21.
D’Angelo, C., Rutstein, D., Harris, C., Bernard, R., Borokhovski, E., & Haertel, G. (2014). Simulations for STEM learning: Systematic review and meta-analysis. SRI International. https://www.sri.com/wp-content....
 
22.
de Jong, T., & Van Joolingen, W. R. (1998). Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research, 68(2), 179-201. https://doi.org/10.3102/003465....
 
23.
de Jong, T., Linn, M. C., & Zacharia, Z. C. (2013). Physical and virtual laboratories in science and engineering education. Science, 340(6130), 305-308. https://doi.org/10.1126/scienc....
 
24.
Dole, J. A., & Sinatra, G. M. (1998). Reconceptualizing change in the cognitive construction of knowledge. Educational Psychologist, 33(2-3), 109-128. https://doi.org/10.1080/004615....
 
25.
Duran, L. B., & Duran, E. (2004). The 5E instructional model: A learning cycle approach for inquiry-based science teaching. Science Education Review, 3(2), 49-58.‏.
 
26.
Faour, M. A., & Ayoubi, Z. (2018). The effect of using virtual laboratory on grade 10 students' conceptual understanding and their attitudes towards physics. Journal of Education in Science, Environment and Health, 4(1), 54-68. https://doi.org/10.21891/jeseh....
 
27.
Finkelstein, N. D., Adams, W. K., Keller, C. J., Kohl, P. B., Perkins, K. K., Podolefsky, N. S., Reid, S., & LeMaster, R. (2005a). 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. https://doi.org/10.1103/PhysRe....
 
28.
Finkelstein, N. D., Perkins, K. K., Adams, W., Kohl, P., & Podolefsky, N. (2005b). Can computer simulations replace actual equipment in undergraduate laboratories? AIP Conference Proceedings, 790(1), 101-104. https://doi.org/10.1063/1.2084....
 
29.
Gerhátová, Ž., Perichta, P., Drienovský, M., & Palcut, M. (2021). Temperature measurement–Inquiry-based learning activities for third graders. Education Sciences, 11(9), 506. https://doi.org/10.3390/educsc....
 
30.
Hannel, S. L., & Cuevas, J. (2018). A study on science achievement and motivation using computer-based simulations compared to traditional hands-on manipulation. Georgia Educational Researcher, 15(1), 40-55. https://doi.org/10.20429/ger.2....
 
31.
Hazelton, R. L., Shaffer, P. S., & Heron, P. R. (2013). Assessing the impact of a computer simulation in conjunction with tutorials in introductory physics on conceptual understanding. In Proceedings of the Physics Education Research Conference (pp. 177-180). https://doi.org/10.1119/perc.2....
 
32.
Hennessey, M. G. (1993). Students’ ideas about their conceptualization: Their elicitation through instruction. In Proceedings of the Annual Meeting of the American Educational Research Association.
 
33.
Holec S., Pfefferová, M. S., & Raganová J. (2004). Computer simulations in mechanics at secondary school. Informatics in Educations, 3(2), 229-238. https://doi.org/10.15388/infed....
 
34.
Itza-Ortiz, S. F., Rebello, S., & Zollman, D. (2003). Students’ models of Newton’s second law in mechanics and electromagnetism. European Journal of Physics, 25(1), 81.‏ https://doi.org/10.1088/0143-0....
 
35.
Jacobs, G. M., Renandya, W. A., & Power, M. (2016). Simple, powerful strategies for student centered learning. Springer. https://doi.org/10.1007/978-3-....
 
36.
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. https://doi.org/10.1016/S0360-....
 
37.
Kahle, J. B. (1994). Research on gender issues in the classroom. In D. L. Gabel (Ed.), Handbook of research on science teaching and learning (pp. 543–557). Macmillan.
 
38.
Kamal, K., & Trines, S. (2018). Education in the United Arab Emirates. World Education News + Reviews. https://wenr.wes.org/2018/08/e....
 
39.
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.‏ https://doi.org/10.1002/jee.20....
 
40.
Kumar, S. J. (2018). Effects of computer simulations on senior secondary school students’ achievements in practical physics in educational district III, Lagos State, Nigeria. Global Journal of Human-Social Science Research. https://socialscienceresearch.....
 
41.
Lamina, O. (2019). Investigating the effects of PhET interactive simulation-based activities on students’ learning involvement and performance on two-dimensional motion topic in physics grade 9. Scholar’s Press Publishing. https://doi.org/10.13140/RG.2.....
 
42.
Lo, C. K. (2017). Toward a flipped classroom instructional model for history education: A call for research. International Journal of Culture and History, 3(1), 36-43. https://doi.org/10.18178/ijch.....
 
43.
Martin, M., Mullis, I., Foy, P., & Hopper, M. (2015). TIMSS 2015 international results in science. IEA TIMSS & PIRLS International Study Center. Lynch School of Education, Boston College. https://timssandpirls.bc.edu/t....
 
44.
Mico, S., Mandili, J., Tahiri, V., & Muco, R. (2010). Computer simulations enhance qualitative meaning of the Newton’s second law. In Proceedings of the GIREP-ICPE-MPTL Conference 2010.
 
45.
Mirana, V. P. (2016). Effects of computer simulations and constructivist approach on students’ epistemological beliefs, motivation and conceptual understanding in physics. In Proceedings of the International Conference on Research in Social Sciences, Humanities and Education (pp. 89-93).‏.
 
46.
MOEY. (2000). Education vision 2020: Pillars, strategic objectives, for United Arab Emirates education development. Ministry of Education and Youth.
 
47.
Nestel, D., Groom, J., Eikeland-Husebø, S., & O’Donnell, J. M. (2011). Simulation for learning and teaching procedural skills: The state of the science. Simulation in Healthcare, 6(7), S10-S13.‏ https://doi.org/10.1097/SIH.0b....
 
48.
NGSS. (2013). Next generation science standards: For states, by states. The National Academies Press.
 
49.
Nieswandt, M. (2007). Student affect and conceptual understanding in learning chemistry. The Official Journal of the National Association for Research in Science Teaching, 44(7), 908-937. https://doi.org/10.1002/tea.20....
 
50.
OECD. (2015a). Beyond PISA 2015: A longer-term strategy of PISA. http://www.oecd.org/pisa/pisap...- strategy-of-PISA.pdf.
 
51.
OECD. (2015b). The ABC of gender equality in education: Aptitude, behavior, confidence. OECD Publishing. https://doi.org/10.1787/978926....
 
52.
Peffer, M. E., Beckler, M. L., Schunn, C., Renken, M., & Revak, A. (2015). Science classroom inquiry (SCI) simulations: A novel method to scaffold science learning. PloS ONE, 10(3), e0120638.‏ https://doi.org/10.1371/journa....
 
53.
Philips, R. (1997). The developer’s handbook to interactive multimedia (A practical guide for educational applications). Kogan Page. https://doi.org/10.4324/978131....
 
54.
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.‏ https://doi.org/10.1002/sce.37....
 
55.
Quellmalz, E. S., Timms, M. J., Silberglitt, M. D., & Buckley, B. C. (2012). Science assessments for all: Integrating science simulations into balanced state science assessment systems. Journal of Research in Science Teaching, 49(3), 363-393. https://doi.org/10.1002/tea.21....
 
56.
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), 136-153. https://doi.org/10.1016/j.comp....
 
57.
Samsudin, A., Suhandi, A., Rusdiana, D., Kaniawati, I., & Costu, B. (2016). Investigating the effectiveness of an active learning based-interactive conceptual instruction (ALBICI) on electric field concept. Asia-Pacific Forum on Science Learning & Teaching, 17(1), 1-41.
 
58.
Sari, D. P., & Madlazim, M. (2015). Computer simulations in mechanics teaching and learning: A case study on students’ understanding of force and motion. Jurnal Penelitian Fisika dan Aplikasinya [Journal of Physics Research and Its Applications], 5(2), 33-43.‏ https://doi.org/10.26740/jpfa.....
 
59.
Seoane, M. E., Greca, I. M., & Arriassecq, I. (2022). Epistemological aspects of computational simulations and their approach through educational simulations in high school. Simulation, 98(2), 87-102. https://doi.org/10.1177/003754....
 
60.
Serway, R. A., & Jewett, J. W. (2014). Physics for scientists and engineers with modern physics. Brooks/Cole Cengage Learning.
 
61.
Shudayfat, E., & Alsalhi, N. (2023). Science learning in 3D virtual environment multi-users online in basic education stage. EURASIA Journal of Mathematics, Science and Technology Education, 2023, 19(1), em2216. https://doi.org/10.29333/ejmst....
 
62.
Smetana, L. K., & Bell, R. L. (2012). Computer simulations to support science instruction and learning: A critical review of the literature. International Journal of Science Education, 34(9), 1337-1370. https://doi.org/10.1080/095006....
 
63.
Srisawasdi, N., & Panjaburee, P. (2015). Exploring effectiveness of simulation-based inquiry learning in science with integration of formative assessment. Journal of Computers in Education, 2(3), 323-352. https://doi.org/10.1007/s40692....
 
64.
Tsai, C. Y., Shih, W. L., Hsieh, F. P., Chen, Y. A., & Lin, C. L. (2022). Applying the design-based learning model to foster undergraduates’ web design skills: the role of knowledge integration. International Journal of Educational Technology in Higher Education, 19(1), 4. https://doi.org/10.1186/s41239....
 
65.
Wibowo, F. C., Suhandi, A., Rusdiana, D., Darman, D. R., Ruhiat, Y., Denny, Y. R., & Fatah, A. (2016). Microscopic virtual media (MVM) in physics learning: Case study on students understanding of heat transfer. Journal of Physics: Conference Series, 739, 012044.‏ https://doi.org/10.1088/1742-6....
 
66.
Widiyatmoko, A. (2018). The effectiveness of simulation in science learning on conceptual understanding: A literature review. Journal of International Development and Cooperation, 24(1), 35-43. http://doi.org/10.15027/45251.
 
67.
Wieman, C. E., Adams, W. K., Loeblein, P., & Perkins, K. K. (2010). Teaching physics using PhET simulations. The Physics Teacher, 48(4), 225-227. https://doi.org/10.1119/1.3361....
 
68.
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), 618-629. https://doi.org/10.1119/1.1566....
 
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