HomePsychology and Education: A Multidisciplinary Journalvol. 43 no. 1 (2025)

The Impact of Simulation-Based Instruction on Student Understanding of Energy Conversion in Resource-Limited Classrooms

Tyza Faith Iwag

Discipline: Education

 

Abstract:

This action research project examined the effectiveness of simulation-based instruction in improving 10th-grade students’ understanding of energy conversion concepts in a rural high school science classroom. The study addressed the instructional challenge of teaching complex energy systems in resource-limited settings lacking traditional lab equipment. The research question guiding this project was: How does implementing simulation-based instruction impact students' understanding of energy conversion over a five-day intervention? Eighteen students participated in the study, engaging in interactive lessons using PhET simulations such as Energy Skate Park, Energy Forms and Changes, and Generator. Students completed a teacher-created pre-assessment and post-assessment aligned with NGSS HS-PS3-3 to measure conceptual growth. The assessments were scored out of 34 points. Results showed a mean score increase from 17.8 to 27.2, representing a 53% improvement. These findings indicate that simulation- based instruction enhanced students’ conceptual understanding, promoted engagement, and offered an equitable solution for science learning in under-resourced environments. The study supports the broader application of digital simulations as effective tools in STEM education.



References:

  1. Almasri, R. (2022). Using digital simulations to improve student engagement in science classrooms. Journal of Educational Technology and Online Learning, 15(2), 85–96.
  2. Bruner, J. S. (1960). The process of education. Harvard University Press.
  3. Chiu, J. L., & Linn, M. C. (2014). Supporting knowledge integration in chemistry with a visualization-enhanced inquiry unit. Journal of Research in Science Teaching, 51(10), 1477–1509. https://doi.org/10.1002/tea.21166
  4. Chiu, J. L., McBride, H., & Lin, T. (2016). Student learning in high school chemistry: The roles of preconceptions, cognitive load, and instructional design. Journal of Chemical Education, 93(12), 2040–2046. https://doi.org/10.1021/acs.jchemed.6b00417
  5. Clark, D. B., Nelson, B. C., Sengupta, P., & D’Angelo, C. M. (2009). Rethinking sciencelearning through digital games and simulations: Genres, examples, and evidence.
  6. In National Research Council Workshop Report on Learning Science Through Computer Games and Simulations. The National Academies Press.
  7. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches(5th ed.). SAGE Publications.
  8. 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/science.1230579
  9. Finkelstein, N. D., Adams, W. K., Keller, C. J., Kohl, P. B., Perkins, K. K., Podolefsky, N. S., Reid, S., & LeMaster, R. (2005). When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory
  10. equipment. Physical Review Special Topics - Physics Education Research, 1(1), 010103. https://doi.org/10.1103/PhysRevSTPER.1.010103
  11. Goff, C. M., Tindle, R., & Haug, J. (2021). Narrowing the science achievement gap: Simulation- based instruction in low-income schools. Journal of STEM Education Research, 4(1), 1– 17.
  12. Joiv.org. (2024). Student agency through virtual simulation-based learning. Journal of Interactive Virtual Education, 3(1), 44–59.
  13. Liu, L., Horton, L., Olmanson, J., & Toprac, P. (2014). A study of learning and motivation in a new media enriched environment for middle school science. Educational Technology Research and Development, 62(6), 767–792. https://doi.org/10.1007/s11423-014-9352-7
  14. Makransky, G., & Mayer, R. E. (2022). Benefits of taking a virtual field trip in immersive virtual reality: Evidence for the immersive effect. Educational Psychology Review, 34(1), 345–366. https://doi.org/10.1007/s10648-020-09586-2
  15. Makransky, G., Terkildsen, T. S., & Mayer, R. E. (2019). Adding immersive virtual reality to a science lab simulation causes more presence but less learning. Learning and Instruction, 60, 225–236. https://doi.org/10.1016/j.learninstruc.2017.12.007
  16. Martínez-Monés, A., Asensio-Pérez, J. I., Dimitriadis, Y., Rubia-Avi, B., & Gómez-Sánchez, E. (2017). Collaborative learning design: Reflections on the past, and prospects for the future. British Journal of Educational Technology, 48(5), 1107–1120. https://doi.org/10.1111/bjet.12523
  17. National Research Council. (2012). A framework for K–12 science education: Practices, crosscutting concepts, and core ideas. The National Academies Press. https://doi.org/10.17226/13165
  18. Piaget, J. (1972). The psychology of the child. Basic Books.
  19. 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.compedu.2011.07.017
  20. 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/10.1080/09500693.2011.605182
  21. Sun, K. T., Lin, Y. C., & Yu, C. J. (2008). A study on learning effect among different learning styles in a Web-based lab of science for elementary school students. Computers & Education, 50(4), 1411–1422. https://doi.org/10.1016/j.compedu.2007.01.003
  22. Zacharia, Z. C., & Olympiou, G. (2011). Physical versus virtual manipulative experimentation in physics learning. Learning and Instruction, 21(3), 317–331. https://doi.org/10.1016/j.learninstruc.2010.03.001
  23. Zydney, J. M., & Warner, Z. (2016). Mobile apps for science learning: Review of research. Computers & Education, 94, 1–17. https://doi.org/10.1016/j.compedu.2015.11.001