Gender Influence of PhET Simulation on Students’ Score Level

Abdul-Hafiz Abolade Alabi*    -  University of Ilorin, Nigeria
Ridwan Enuwa Mohammed    -  University of Ilorin, Nigeria
Aishat A Yusuf    -  University of Ilorin, Nigeria

(*) Corresponding Author

Students' performances are often compared and evaluated based on their score levels. Poor performance across each score level can be linked to the general perception of physics as a complex subject due to its abstract and calculative nature. Hence, to help improve students’ performance across each score level, this study investigated the influence of innovative simulations on students’ performance and retention based on their score levels and gender. This study adopted a quasi-experimental non-randomized 2×2×3×2 factorial design. A purposive sampling technique was used to choose two schools with 55 students in Ilorin, Kwara state. The research instruments include a Physics Education Technology (PhET) simulation developed by the University of Colorado Boulder, a Physics Performance Test (PPT), and a Physics Retention Test (PRT). The reliability of the performance and retention test was determined using KR-21 with indices values of 0.855 and 0.769 correspondingly. The findings revealed that the use of computer simulation had a positive effect on the performance and retention in terms of the score levels and had a significant impact on the student's performance and retention with a t-value (-3.13);p<0.005 and t-value (-3.69); p-value< 0.005 respectively. Also, it established that the female students performed better than the male students across different score levels. It was concluded that computer simulation affected the students' performance and retention based on score levels and gender. Therefore, it is recommended that computer simulation be used in the teaching and learning process for better conceptual understanding of the students at different score levels.

Keywords: Achievements; Conceptual Understanding; Gender; Performance; Retention; Score levels; Simulation.

  1. Adolphus, T. (2019). Why Students in Secondary Schools Choose not to do Physics? Implications for Policy and Practice in Developing Countries. European Scientific Journal ESJ, 15(34). https://doi.org/10.19044/esj.2019.v15n34p103
  2. Ali Khan, W., & Saeed s. (2021). Relationship between Secondary School Students’ Physics Academic Achievement Scores and their Conceptual Knowledge. Bulletin of Education and Research, 43(2), 1–16. https://files.eric.ed.gov/fulltext/EJ1338293.pdf
  3. Ben Ouahi, M., Ait Hou, M., Bliya, A., Hassouni, T., & Al Ibrahmi, E. M. (2021). The Effect of Using Computer Simulation on Students’ Performance in Teaching and Learning Physics: Are There Any Gender and Area Gaps? Education Research International, 2021, 1–10. https://doi.org/10.1155/2021/6646017
  4. Birgin, O., & Uzun Yazıcı, K. (2021). The effect of GeoGebra software–supported mathematics instruction on eighth‐grade students’ conceptual understanding and retention. Journal of Computer Assisted Learning, 37(4), 925–939. https://doi.org/10.1111/jcal.12532
  5. Gusmida, R., & Islami, N. (2017). The Development of Learning Media for the Kinetic Theory of Gases Using the ADDIE Model with Augmented Reality. JOURNAL OF EDUCATIONAL SCIENCES, 1(1), 1. https://doi.org/10.31258/jes.1.1.p.1-10
  6. Guy, R., & Lownes-Jackson, M. (2015). The Use of Computer Simulation to Compare Student performance in Traditional versus Distance Learning Environments. Issues in Informing Science and Information Technology, 12, 095–109. https://doi.org/10.28945/2254
  7. Ibitomi, O. O., Oyelekan, O. S., & Olorundare, A. S. (2022). The Effect of Computer Simulation on Student Performance in High School Chemistry Learning on Chemical Equations. Indonesian Journal of Science and Mathematics Education, 5(3), 341–358. https://doi.org/10.24042/ijsme.v5i3.12071
  8. Lasisi, A. R. (2021, March 8). The Effect of Innovative Computer Simulation Instruction on Studentsâ™ Academic performance in Abstract Concepts in Science. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3799962
  9. Mitchell, P., & Forer, P. (2010). Blended Learning: The Perceptions of First-year Geography Students. Journal of Geography in Higher Education, 34(1), 77–89. https://doi.org/10.1080/03098260902982484
  10. Nkok, E. M. (2021). Effect of Computer Simulation on Students’ Achievement and Retention In Sexual Reproduction In Plants In Niger State, Nigeria. International Journal of Innovative Social & Science Education Research, 9(3), 10–18. https://seahipaj.org/journals-ci/sept-2021/IJISSER/full/IJISSER-S-2-2021.pdf
  11. NPE. (2013). National-policy-on-education. Https://education.gov.ng/wp-content/uploads/2020/06/national-policy-on-education.pdf. https://education.gov.ng/wp-content/uploads/2020/06/national-policy-on-education.pdf
  12. Pratidhina, E., Pujianto, P., & Sumardi, Y. (2019). Developing Computer Program as a Learning Resource on Gas Law Topics for High School Students. International Journal of Instruction, 12(2), 133–146. https://doi.org/10.29333/iji.2019.1229a
  13. Vrapi, R., Alia, A., & Brese, F. (2021). Characteristics of High- and Low-Performing Students. IEA Research for Education, 191–212. https://doi.org/10.1007/978-3-030-85802-5_9
  14. WAEC Chief examiner report 2019. (2019). waeconline.org.ng. Retrieved December 27, 2021, from https://www.waeconline.org.ng/e-learning/Physics/Phys228mw.html

Open Access Copyright (c) 2023 Physics Education Research Journal
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

 
apps