Home⇛Psychology and Education: A Multidisciplinary Journal⇛vol. 19 no. 4 (2024)

The Influence of Gizmos Digital Simulation on the Perceptions of Grade 9 High School Learner

Jaymar Dela Cruz | John Patrick Carl Hermosura

Discipline: Education

 

Abstract:

This study investigates the impact of integrating Gizmos digital simulations on high school students' perceptions of scientific concepts and their engagement in Science 9. Recognizing the potential of digital simulations to enhance learning experiences, particularly in science education, the study aims to explore how this technology influences students' attitudes, engagement, and perceptions of science topics. The study seeks to determine the influence of Gizmos digital simulations on high school students' perceptions in Science 9, specifically focusing on students' attitudes, engagement levels, interest, motivation, perceived difficulty, and self-efficacy in science learning. Data was collected from 36 Grade 9 students at Timoteo Paez Integrated School during the academic year 2023-2024. The research involved assessing students' perceptions through surveys and observations, with a particular emphasis on gender differences in response to Gizmos integration. The findings reveal that female students generally exhibit more positive attitudes, higher engagement levels, and stronger perceptions of interest, motivation, and self-efficacy in science when using Gizmos compared to male students. However, both genders perceive science topics to be similarly manageable in difficulty when utilizing Gizmos digital simulations. Integrating Gizmos digital simulations into science education shows promise in enhancing students' learning experiences and perceptions of scientific concepts. Tailored approaches are needed to address gender-specific variations in engagement and attitudes towards technologyenhanced learning, ensuring equitable student benefits.



References:

  1. Alhadlaq, A. (2023). Computer-based simulated learning activities: Exploring Saudi students’ attitude and experience of using simulations to facilitate unsupervised learning of science concepts. Applied Sciences, 13(7), 4583. https://doi.org/10.3390/app13074583
  2. Azizi, M., Ramezani, G., Karimi, E., Hayat, A. A., Faghihi, S. A., & Keshavarzi, M. H. (2022). A comparison of the effects of teaching through simulation and the traditional method on nursing students’ self-efficacy skills and clinical performance: a quasi-experimental study. BMC Nursing, 21, 283. https://doi.org/10.1186/s12912-022-01065-z
  3. Bernardo, A. B. I., Cordel, M. O., Calleja, M. O., Teves, J. M. M., Yap, S. A., & Chua, U. C. (2023). Profiling low-proficiency science students in the Philippines using machine learning. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01705-y
  4. Case, C., & Jacobbe, T. (2018). A framework to characterize student difficulties in learning inference from a simulation-based approach. Statistics Education Research Journal, 17(2), 9-29.
  5. Chi, C. (2023, December 6). Philippines still lags behind world in math, reading and science — PISA 2022. Philstar.com. https://www.philstar.com/headlines/2023/12/06/2316732/philippines-still-lags-behind-world-math-reading-and-science-pisa-2022
  6. Dorji, T. (2022). The effect of games simulation in improving secondary students’ academic performance. International Journal of Social Learning, 3(1), 48-64. https://doi.org/10.47134/ijsl.v3i1.147
  7. Gándara Fierro, G., & Rodríguez Mendoza, A. G. (2023). Motivation for learning in virtual environments. Journal of Social Science Studies, 10(1), 98-106. https://doi.org/10.5296/jsss.v10i1.20895
  8. Gharaibeh, B., Hweidi, I., & Al-Smadi, A. (2017). Attitudes and perception of baccalaureate nursing students toward educational simulation. Cogent Education, 4(1), 1360063. doi:10.1080/2331186X.2017.1360063
  9. Greaves, R., Kelestyn, B., Blackburn, R. A. R., & Kitson, R. R. A. (2021). The black student experience: comparing stem undergraduate student experiences at higher education institutions of varying student demographic. Journal of Chemical Education, 99(1), 56-70. https://doi.org/10.1021/acs.jchemed.1c00402
  10. Haji Ismail, N. F., Shahrill, M., & Asamoah, D. (2023). Learning through virtual manipulatives: Investigating the impact of Gizmos- based lessons on students’ performance in integers. Contemporary Mathematics and Science Education, 4(1), ep23009. https://doi.org/10.30935/conmaths/12857
  11. Karlsaune, H., Antonsen, T., & Haugan, G. (2023). Simulation: A historical and pedagogical perspective. In I. Akselbo & I. Aune (Eds.), How can we use simulation to improve competencies in nursing? (pp. 1-11). Springer. https://doi.org/10.1007/978-3-031- 10399-5_1
  12. Keleş, D., Bulgurcu, A., Demir, E. F., & Şemin, I. M. (2022). The effect of virtual laboratory simulations on medical laboratory techniques students’ knowledge and vocational laboratory education. Turkish Journal of Biochemistry, 47(4), 529–537 https://doi.org/10.1515/tjb-2020-0619
  13. Liu, J., & Lee, S. (2023). Student engagement with simulation: an emotional journey analysis1. In Proceedings of the 2023 Simulation Australasia Conference (pp. 123-130). Simulation Australasia.
  14. Lonsky, M., Lang, M., Holt, S., Pathak, S. A., Klause, R., Lo, T.-H., Beg, M., Hoffmann, A., & Fangohr, H. (2023, March 3). Developing computational skills through simulation based problem-solving in science. ArXiv.org https://doi.org/10.48550/arXiv.2303.01784
  15. Moll-Khosrawi, P., Zöllner, C., Cronje, J. S., & Schulte-Uentrop, L. (2021). The effects of simulation-based education on medical students’ motivation. International Journal of Medical Education, 12, 130-135. https://doi.org/10.5116/ijme.60c0.981e
  16. Mukama, E., & Byukusenge, P. (2021). Supporting student active engagement in chemistry learning with computer simulations: Five actions (5As). Journal of Mathematics, Science and Technology Education, 17(2), 1-17
  17. Nawaz, S., Kennedy, G., Bailey, J., & Mead, C. (2020). Moments of confusion in simulation-based learning environments. Journal of Learning Analytics, 7(3), 118-137 https://dx.doi.org/10.18608/jla.2020.73.9
  18. Nunung Agus Firmansyah, Bismala, L., Yayuk Hayulina Manurung, Hafsah Hafsah, & Susi Handayani. (2023). Developing the Students’ Critical Thinking in Management Information System Courses through the Inquiry Method. Edunesia, 4(2), 843–854 https://doi.org/10.51276/edu.v4i2.435
  19. Osman, Kaya, N., Kilic, Z., & Akdeniz, A. (2020). University Students’ Perceptions of Their Science Classrooms. https://files.eric.ed.gov/fulltext/ED500715.pdf
  20. Paños, E., Navarro, R.-I., & Ruiz-Gallardo, J.-R. (2019). Attitude and perception towards science. Comparing active vs traditional instruction in transition to adulthood students. European Journal of Special Needs Education, 35(3), 425–435. https://doi.org/10.1080/08856257.2019.1703552
  21. Piaget, J. (1957). Construction of reality in the child. London Routledge & Kegan Paul. - References - Scientific Research Publishing. (n.d.). Scirp.org. Retrieved March 12, 2023, from https://scirp.org/reference/referencespapers.aspx?referenceid=1055727. S
  22. Plewka, B., Waszyk-Nowaczyk, M., Cerbin-Koczorowska, M., Przymuszała, P., & Osmałek, T. (2023). Do simulation exercises affect pharmacy students’ self-efficacy in providing pharmaceutical care according to Bandura’s self-efficacy theory? – a pilot study1. Research Square. https://doi.org/10.21203/rs.3.rs-2893376/v1
  23. Romika, Y., & Atun, S. (2021). Chemistry student’s virtual laboratory self-efficacy: A scale development. Journal of Physics: Conference Series, 1806(1), Article 012196.
  24. Setiawan (2020). Scientific Literacy Worksheets for Distance Learning in the Topic of Coronavirus 2019 (COVID-19).. https://doi.org/10.35542/osf.io/swjmk
  25. Solomo (2021). Competencies and Challenges of Deped Teachers in the K To 12 Science Curriculum Implementation. epra, 1-7. https://doi.org/10.36713/epra6744
  26. Stinken-Rösner, L. (2020). Simulations in Science Education – Status Quo. Progress in Science Education (PriSE), 3(1), 26–34. https://doi.org/10.25321/prise.2020.996
  27. Wang, Y., & Ji, Y. (2021). How do they learn: types and characteristics of medical and healthcare student engagement in a simulation-based learning environment1. BMC Medical Education, 21, 420. https://doi.org/10.1186/s12909-021-02858-7.
  28. Zulfiqar, S., Sarwar, B., Aziz, S., Chandia, K. E., & Khan, M. K. (2019). An analysis of influence of business simulation games on business school students’ attitude and intention toward entrepreneurial activities12. Journal of Educational Computing Research, 57(1), 106-130. https://doi.org/10.1177/0735633117746746

Tools


Copyright © 2025  KITE Digital Educational Solutions |  Exclusively distributed by CE-Logic