Article
Exploring How the Timing of Computer Simulations Shapes Students’ Conceptual Understanding of Newton’s Second Law of Motion
Received: 28 June 2026; Revised: 14 July 2026; Accepted: 30 July 2026; Published: 7 August 2026
Abstract
Students often struggle to develop a conceptual understanding of Newton’s Second Law while also mastering its mathematical applications. This study examined how placing computer simulations before or after teacher instruction was associated with students’ conceptual and computational approaches. Fourteen secondary students from a bilingual private school in Mount Lebanon were stratified by grade point average and gender and randomly assigned to two groups. Group A received teacher instruction before completing PhET simulation activities, whereas Group B explored the simulations before instruction. The sequence remained consistent across projectile motion and motion on an inclined plane. A qualitatively driven, randomized comparative intervention design was used, drawing on classroom observations, two open-ended tests, and semi-structured interviews. Group B generated more questions about variable relationships, physical meanings, and real-world applications, whereas Group A focused more often on equations, procedures, and calculation accuracy. Written responses showed a similar pattern: Group B used more conceptual and partially conceptual reasoning, while Group A produced more computational responses and more fully correct solutions. In immediate post-unit interviews, Group B participants recalled exploratory processes and variable relationships, whereas Group A participants emphasized formulas and solution procedures. Within this small, context-specific sample, simulation before instruction was associated with conceptual exploration, while simulation after instruction was associated with computational consolidation. Because the study involved one school, guided activities, and no delayed assessment, the findings should be interpreted as preliminary and transferable only with caution. The study also offers practical recommendations for integrating computer simulations into physics lessons.
Keywords
References
- 1.Levi, H.; Merzel, A.; Lehavi, Y. Physmatic Difficulties and Students' Thinking Approaches. Eurasia J. Math. Sci. Technol. Educ. 2025, 21, em2663. DOI: https://doi.org/10.29333/ejmste/16565
- 2.McDermott, L.C. Oersted Medal Lecture 2001: "Physics Education Research—The Key to Student Learning." Am. J. Phys. 2001, 69, 1127–1137.
- 3.Atchia, S.M.C.; Rumjaun, A. The Real and Virtual Science Laboratories. In Contemporary Issues in Science and Technology Education; Akpan, B., Cavas, B., Kennedy, T., Eds.; Springer: Cham, Switzerland, 2023; pp. 113–127. DOI: https://doi.org/10.1007/978-3-031-24259-5_9
- 4.Faour, M.A.; Ayoubi, Z. The Effect of Using Virtual Laboratory on Grade 10 Students' Conceptual Understanding and Their Attitudes towards Physics. J. Educ. Sci. Environ. Health 2018, 4, 54–68.
- 5.Kohnle, A.; Baily, C.; Ruby, S. Investigating the Influence of Visualization on Student Understanding of Quantum Superposition. In Proceedings of the Physics Education Research Conference 2014, Minneapolis, MN, USA, 30–31 July 2014; pp. 139–142. DOI: https://doi.org/10.1119/perc.2014.pr.031
- 6.Salameh, M.S.; Aldhamit, Y. The Effect of Computer Simulation on Al-Hussein Bin Talal University Students' Understanding of Electricity and Magnetism Concepts and Their Attitudes towards Physics Learning. Int. J. Educ. Res. Technol. 2014, 5, 54–60.
- 7.Smetana, L.K.; Bell, R.L. Computer Simulations to Support Science Instruction and Learning: A Critical Review of the Literature. Int. J. Sci. Educ. 2012, 34, 1337–1370. DOI: https://doi.org/10.1080/09500693.2011.605182
- 8.De Jong, T.; Lazonder, A.W.; Chinn, C.A.; et al. Let's Talk Evidence – The Case for Combining Inquiry-Based and Direct Instruction. Educ. Res. Rev. 2023, 39, 100536. DOI: https://doi.org/10.1016/j.edurev.2023.100536
- 9.Brant, G.; Hooper, E.; Sugrue, B. Which Comes First, the Simulation or the Lecture? J. Educ. Comput. Res. 1991, 7, 469–481. DOI: https://doi.org/10.2190/PWDP-45L8-LHL5-2VX7
- 10.Brophy, S.P.; Magana, A.J.; Strachan, A. Lectures and Simulation Laboratories to Improve Learners' Conceptual Understanding. Adv. Eng. Educ. 2013, 3, 1–27.
- 11.Shaw, K.C. Use of Computer Simulations in Physics: Comparison of Simulation Implementation as Introductory or Reinforcement Tools. Master's Thesis, Montana State University, Bozeman, MT, USA, 2014.
- 12.Stefaniak, J.E.; Turkelson, C.L. Does the Sequence of Instruction Matter during Simulation? Simul. Healthc. 2014, 9, 15–20. DOI: https://doi.org/10.1097/SIH.0b013e3182a8336f
- 13.DeCaro, M.S.; McClellan, D.K.; Patrick, R.; et al. Flipping a Simulation before Instruction Can Improve Students' Learning, Interest and Perceived Competence. Br. J. Educ. Psychol. 2026, 96, 172–192. DOI: https://doi.org/10.1111/bjep.70007
- 14.Kapur, M. Examining Productive Failure, Productive Success, Unproductive Failure, and Unproductive Success in Learning. Educ. Psychol. 2016, 51, 289–299. DOI: https://doi.org/10.1080/00461520.2016.1155457
- 15.Sinha, T.; Kapur, M. When Problem Solving Followed by Instruction Works: Evidence for Productive Failure. Rev. Educ. Res. 2021, 91, 761–798. DOI: https://doi.org/10.3102/00346543211019105
- 16.Weaver, J.P.; Chastain, R.J.; DeCaro, D.A.; et al. Reverse the Routine: Problem Solving before Instruction Improves Conceptual Knowledge in Undergraduate Physics. Contemp. Educ. Psychol. 2018, 52, 36–47. DOI: https://doi.org/10.1016/j.cedpsych.2017.12.003
- 17.Chazbeck, B.; Ayoubi, Z. Resources Used by Lebanese Secondary Physics Teachers for Teaching Electricity: Types, Objectives and Factors Affecting Their Selection. J. Educ. Sci. Environ. Health 2018, 4, 118–128. DOI: https://doi.org/10.21891/jeseh.409487
- 18.Temsah, L.; Safa, N. New Approaches to Simulation-Based Science Instruction to Enhance Reasoning and Communication Skills in Lebanese Elementary Education. Middle East. J. Res. Educ. Soc. Sci. 2021, 2, 56–79. DOI: https://doi.org/10.47631/mejress.v2i1.180
- 19.Yehya, F.M.; Barbar, A.M.; Abou-Rjelil, S. Learning with Simulations: Influence of a Computer Simulation with Hands-On Activities on Students' Learning of the Physics Capacitors' Concepts. Res. Soc. Sci. Technol. 2019, 4, 1–29. DOI: https://doi.org/10.46303/ressat.04.01.1
- 20.Ayasrah, F.T.M.; Alarabi, K.; Al Mansouri, M.; et al. Enhancing Secondary School Students' Attitudes toward Physics by Using Computer Simulations. Int. J. Data Netw. Sci. 2024, 8, 369–380. DOI: https://doi.org/10.5267/j.ijdns.2023.9.017
- 21.Resbiantoro, G.; Setiani, R.; Dwikoranto. A Review of Misconception in Physics: The Diagnosis, Causes, and Remediation. J. Turk. Sci. Educ. 2022, 19, 403–427.
- 22.AlArabi, K.; Tairab, H.; Wardat, Y.; et al. Enhancing the Learning of Newton's Second Law of Motion Using Computer Simulations. J. Baltic Sci. Educ. 2022, 21, 946–966. DOI: https://doi.org/10.33225/jbse/22.21.946
- 23.Alabidi, S.; Alarabi, K.; Tairab, H.; et al. The Effect of Computer Simulations on Students' Conceptual and Procedural Understanding of Newton's Second Law of Motion. Eurasia J. Math. Sci. Technol. Educ. 2023, 19, em2259. DOI: https://doi.org/10.29333/ejmste/13140
- 24.Parra-Zeltzer, V.R.; Huincahue, J.; Abril, D. Newton's Second Law Teaching Strategies—Identifying Opportunities for Educational Innovation. Educ. Sci. 2025, 15, 748. DOI: https://doi.org/10.3390/educsci15060748
- 25.Sirait, J.; Hamdani; Mursyid, S. Students' Understanding of Forces: Force Diagrams on Horizontal and Inclined Plane. J. Phys. Conf. Ser. 2018, 997, 012030. DOI: https://doi.org/10.1088/1742-6596/997/1/012030
- 26.Taber, K.S. Educational Constructivism. Encyclopedia 2024, 4, 1534–1552. DOI: https://doi.org/10.3390/encyclopedia4040100
- 27.Driver, R.; Asoko, H.; Leach, J.; et al. Constructing Scientific Knowledge in the Classroom. Educ. Res. 1994, 23, 5–12. DOI: https://doi.org/10.3102/0013189X023007005
- 28.Nordine, J.; Fortus, D. Reinventing Science Standards to Better Support Meaningful Science Learning. J. Res. Sci. Teach. 2026, 63, 83–96. DOI: https://doi.org/10.1002/tea.70021
- 29.Clement, J. Students' Preconceptions in Introductory Mechanics. Am. J. Phys. 1982, 50, 66–71. DOI: https://doi.org/10.1119/1.12989
- 30.Halloun, I.A.; Hestenes, D. Common Sense Concepts about Motion. Am. J. Phys. 1985, 53, 1056–1065. DOI: https://doi.org/10.1119/1.14031
- 31.Keselman, A. Supporting Inquiry Learning by Promoting Normative Understanding of Multivariable Causality. J. Res. Sci. Teach. 2003, 40, 898–921. DOI: https://doi.org/10.1002/tea.10115
- 32.Bybee, R.W. Guest Editorial: The BSCS 5E Instructional Model: Personal Reflections and Contemporary Implications. Sci. Child. 2014, 51, 10–13. DOI: https://doi.org/10.2505/4/sc14_051_08_10
- 33.Polanin, J.R.; Austin, M.; Taylor, J.A.; et al. Effects of the 5E Instructional Model: A Systematic Review and Meta-Analysis. AERA Open 2024, 10. DOI: https://doi.org/10.1177/23328584241269866
- 34.Schunk, D.H. Learning Theories: An Educational Perspective, 6th ed.; Pearson: Boston, MA, USA, 2012.
- 35.Sweller, J. The Development of Cognitive Load Theory: Replication Crises and Incorporation of Other Theories Can Lead to Theory Expansion. Educ. Psychol. Rev. 2023, 35, 95. DOI: https://doi.org/10.1007/s10648-023-09817-2
- 36.Carpenter, S.K.; Pan, S.C.; Butler, A.C. The Science of Effective Learning with Spacing and Retrieval Practice. Nat. Rev. Psychol. 2022, 1, 496–511. DOI: https://doi.org/10.1038/s44159-022-00089-1
- 37.Mayer, R.E. Cognitive Theory of Multimedia Learning. In The Cambridge Handbook of Multimedia Learning, 3rd ed.; Mayer, R.E., Fiorella, L., Eds.; Cambridge University Press: New York, NY, USA, 2022; pp. 57–72.
- 38.Gick, M.L. Problem-Solving Strategies. Educ. Psychol. 1986, 21, 99–120. DOI: https://doi.org/10.1080/00461520.1986.9653026
- 39.Larkin, J.; McDermott, J.; Simon, D.P.; et al. Expert and Novice Performance in Solving Physics Problems. Science 1980, 208, 1335–1342. DOI: https://doi.org/10.1126/science.208.4450.1335
- 40.Park, M. Students' Problem-Solving Strategies in Qualitative Physics Questions in a Simulation-Based Formative Assessment. Discip. Interdiscip. Sci. Educ. Res. 2020, 2, 1. DOI: https://doi.org/10.1186/s43031-019-0019-4
- 41.Ghimire, A.; Singh, C. Perspectives of Women and Men Students and Faculty on Conceptual and Quantitative Problem-Solving in Physics from Introductory to Graduate Levels. Educ. Sci. 2025, 15, 1602. DOI: https://doi.org/10.3390/educsci15121602
- 42.PhET. Interactive Simulations for Science and Math. Available online: https://phet.colorado.edu/ (accessed on 19 June 2026).
- 43.Wieman, C.E.; Adams, W.K.; Perkins, K.K. PhET: Simulations That Enhance Learning. Science 2008, 322, 682–683. DOI: https://doi.org/10.1126/science.1161948
- 44.Banda, H.J.; Nzabahimana, J. The Impact of Physics Education Technology (PhET) Interactive Simulation-Based Learning on Motivation and Academic Achievement Among Malawian Physics Students. J. Sci. Educ. Technol. 2023, 32, 127–141. DOI: https://doi.org/10.1007/s10956-022-10010-3
- 45.Uwambajimana, S.; Minani, E.; Mollel, A.D.; et al. The Impact of Using PhET Simulation on Conceptual Understanding of Electrostatics within Selected Secondary Schools of Muhanga District, Rwanda. J. Math. Sci. Teach. 2023, 3, em045. DOI: https://doi.org/10.29333/mathsciteacher/13595
- 46.Zacharia, Z.C.; Olympiou, G. Physical versus Virtual Manipulative Experimentation in Physics Learning. Learn. Instr. 2011, 21, 317–331. DOI: https://doi.org/10.1016/j.learninstruc.2010.03.001
- 47.Fadillah, M.A.; Alawyah, K.; Syafrijon, S.; et al. Meta-Analysis of the Effectiveness of PhET Simulations in Physics Education. Int. J. Online Biomed. Eng. 2026, 22, 21–37. DOI: https://doi.org/10.3991/ijoe.v22i02.59007
- 48.Antonio, R.P.; Castro, R.R. Effectiveness of Virtual Simulations in Improving Secondary Students' Achievement in Physics: A Meta-Analysis. Int. J. Instr. 2023, 16, 533–556. DOI: https://doi.org/10.29333/iji.2023.16229a
- 49.Schwartz, D.L.; Bransford, J.D. A Time for Telling. Cogn. Instr. 1998, 16, 475–522.
- 50.Bego, C.R.; Chastain, R.J.; DeCaro, M.S. Designing Novel Activities before Instruction: Use of Contrasting Cases and a Rich Dataset. Br. J. Educ. Psychol. 2023, 93, 299–317.
- 51.Chin, D.B.; Chi, M.; Schwartz, D.L. A Comparison of Two Methods of Active Learning in Physics: Inventing a General Solution versus Compare and Contrast. Instr. Sci. 2016, 44, 177–195.
- 52.DeCaro, M.S.; Isaacs, R.; Bego, C.R.; et al. Bringing Exploratory Learning Online: Problem-Solving before Instruction Improves Remote Undergraduate Physics Learning. Front. Educ. 2023, 8, 1215975.
- 53.DeCaro, M.S.; Bego, C.R.; Velić, L.; et al. Increasing Contrasting Cases during Exploration or Practice Problems Given before or after Instruction. Instr. Sci. 2025, 53, 121–130. DOI: https://doi.org/10.1007/s11251-024-09696-2
- 54.Reilly, D.; Neumann, D.L.; Andrews, G. Gender Differences in Spatial Ability: Implications for STEM Education and Approaches to Reducing the Gender Gap for Parents and Educators. In Visual-Spatial Ability in STEM Education; Khine, M.S., Ed.; Springer International Publishing: Cham, Switzerland, 2017; pp. 195–224. DOI: https://doi.org/10.1007/978-3-319-44385-0_10
- 55.Kondracki, N.L.; Wellman, N.S.; Amundson, D.R. Content Analysis: Review of Methods and Their Applications in Nutrition Education. J. Nutr. Educ. Behav. 2002, 34, 224–230. DOI: https://doi.org/10.1016/S1499-4046(06)60097-3
- 56.Hsieh, H.-F.; Shannon, S.E. Three Approaches to Qualitative Content Analysis. Qual. Health Res. 2005, 15, 1277–1288. DOI: https://doi.org/10.1177/1049732305276687
- 57.Potter, W.J.; Levine-Donnerstein, D. Rethinking Validity and Reliability in Content Analysis. J. Appl. Commun. Res. 1999, 27, 258–284. DOI: https://doi.org/10.1080/00909889909365539