Effect of Simulated Learning on Students’ Academic Achievement in Science at Elementary Level

Authors

  • Lubna Quddus Warsi Assistant Professor, Department of Education, University of ISP, Multan, Punjab, Pakistan. https://orcid.org/0000-0003-4126-3758
  • Muhammad Asghar M.Phil. Scholar, Department of Education, University of ISP, Multan, Punjab, Pakistan.
  • Rabia Naseer M.Phil. Scholar, Department of Education, University of ISP, Multan, Punjab, Pakistan.

DOI:

https://doi.org/10.55737/qjss.359456387

Keywords:

Simulation, Technology, Academic Achievement, Science, Elementary Level

Abstract

This study was conducted to find out the Effect of Simulated Learning on Students’ Academic Achievement in Science at the Elementary Level. Simulated learning as an innovative method has gained considerable attention nowadays. It involves using technology and virtual environments to replicate real-life scenarios or experiences for educational purposes. The major objectives of the study were to analyze teachers' perceptions of simulated learning and to study the challenges teachers face when using simulated learning in their instruction. The researcher used a descriptive survey design. All the male and female elementary science teachers from the Muzaffargrh and Layyah districts were considered part of the study population. The study sample was comprised of 303 elementary school science teachers who were selected randomly. A 45-item questionnaire was used. The researcher used descriptive and inferential statistical techniques to analyze the collected data using SPSS. The results revealed that teachers generally expressed positive views on the use of simulated learning for the teaching of science. It was recommended that simulated learning activities be aligned with the science curriculum. Guidelines and frameworks should be formulated to facilitate the seamless integration of simulated learning into existing educational frameworks. Teachers should be supported in adapting their teaching methods to fit simulated learning environments.

Downloads

Download data is not yet available.

Author Biography

  • Lubna Quddus Warsi, Assistant Professor, Department of Education, University of ISP, Multan, Punjab, Pakistan.

References

Afnan., Muhammad, K., Khan, N., Lee, M., Imran, A., & Sajjad, M. (2021). School of the future: A comprehensive study on the effectiveness of augmented reality as a tool for primary school children’s education. Applied Sciences, 11(11), 5277. https://doi.org/10.3390/app11115277

Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1-11. https://doi.org/10.1016/j.edurev.2016.11.002

Alfieri, L., Brooks, P. J., Aldrich, N. J., & Tenenbaum, H. R. (2011). Does discovery-based instruction enhance learning? Journal of Educational Psychology, 103(1), 1-18. https://doi.org/10.1037/a0021017

Ally, M. (2019). Competency profile of the digital and online teacher in future education. International Review of Research in Open and Distributed Learning, 20(2), 303-318. https://doi.org/10.19173/irrodl.v20i2.4206

Banks, J. (Ed.). (1998). Handbook of simulation: principles, methodology, advances, applications, and practice. John Wiley & Sons.

Bearman, M., Palermo, C., Allen, L. M., & Williams, B. (2015). Learning empathy through simulation. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare, 10(5), 308-319. https://doi.org/10.1097/sih.0000000000000113

Brown, J. D., & Hudson, T. (1998). The alternatives in language assessment. TESOL Quarterly, 32(4), 653. https://doi.org/10.2307/3587999

Campbell, S. H., & Daley, K. (Eds.). (2017). Simulation scenarios for nursing educators: making it real. Springer Publishing Company.

Cant, R. P., & Cooper, S. J. (2017). Simulation-based learning in nurse education: Systematic review. Journal of Advanced Nursing, 73(3), 527-545. https://doi.org/10.1111/j.1365-2648.2009.05240.x

Clark, A., DeAngelis, T., Orme, M., & Herrington, C. (2018). Simulation in nurse education: Past, present, and future. Journal of Nursing Education and Practice, 8(5), 96-102. https://doi.org/10.1016/j.nedt.2011.04.005

Danakorn Nincarean, A., Phon, L. E., Rahman, M. H. A., Utama, N. I., Ali, M. B., Abdi Halim, N. D., & Kasim, S. (2019). The effect of augmented reality on spatial visualization ability of elementary school student. International Journal on Advanced Science Engineering Information Technology, 9(2), 624629. https://doi.org/10.18517/ijaseit.8.5.4971

De Lisi, R., & Wolford, J. L. (2002). Improving children's mental rotation accuracy with computer game playing. The Journal of Genetic Psychology, 163(3), 272-282. https://doi.org/10.1080/00221320209598683

Dieckmann, P., Molin Friis, S., Lippert, A., Ostergaard, D., & Ringsted, C. (2007). The art and science of debriefing in simulation: Ideal and practice. Medical Teacher, 29(2-3), 122-134. https://doi.org/10.1080/01421590902866218

Farazmand, A. (2017). Crisis and emergency management: Theory and practice. In Crisis and emergency management (pp. 1-10). Routledge.

Gladding, S. T., Newsome, D. W., & Newsome, D. W. (2017). Clinical mental health counseling in community and agency settings. Pearson.

Gordon, J. A., Wilkerson, W. M., Shaffer, D. W., & Armstrong, E. G. (2001). “Practicing” medicine without risk. Academic Medicine, 76(5), 469-472. https://doi.org/10.1097/00001888-200105000-00019

Green, C., Molloy, O., & Duggan, J. (2021). An empirical study of the impact of systems thinking and simulation on sustainability education. Sustainability, 14(1), 394. https://doi.org/10.3390/su14010394

Hsiao, H., Chang, C., Lin, C., & Wang, Y. (2013). Weather observers: A manipulative augmented reality system for weather simulations at home, in the classroom, and at a Museum. Interactive Learning Environments, 24(1), 205-223. https://doi.org/10.1080/10494820.2013.834829

Issenberg, S. B., McGaghie, W. C., Petrusa, E. R., Lee Gordon, D., & Scalese, R. J. (2015). Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Medical Teacher, 27(1), 10-28. https://doi.org/10.1080/01421590500046924

Jones, S. M., LaRusso, M., Kim, J., Yeon Kim, H., Selman, R., Uccelli, P., Barnes, S. P., Donovan, S., & Snow, C. (2019). Experimental effects of word generation on vocabulary, academic language, perspective taking, and reading comprehension in high-poverty schools. Journal of Research on Educational Effectiveness, 12(3), 448-483. https://doi.org/10.1080/19345747.2019.1615155

Ketelhut, D. J., Nelson, B. C., Clarke, J., & Dede, C. (2009). A multi‐user virtual environment for building and assessing higher order inquiry skills in science. British Journal of Educational Technology, 41(1), 56-68. https://doi.org/10.1111/j.1467-8535.2009.01036.x

Khan, D., Rehman, I. ur, Ullah, S., Ahmad, W., Cheng, Z., Jabeen, G., & Kato, H. (2019). A Low-Cost Interactive Writing Board for Primary Education using Distinct Augmented Reality Markers. Sustainability, 11(20), 5720. https://doi.org/10.3390/su11205720

Kneebone, R. L., Kidd, J., Nestel, D., Barnet, A., Lo, B., King, R., Yang, G. Z., & Brown, R. (2005). Blurring the boundaries: Scenario-based simulation in a clinical setting. Medical Education, 39(6), 580-587. https://doi.org/10.1111/j.1365-2929.2005.02110.x

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308

Lateef, F. (2010). Simulation-based learning: Just like the real thing. Journal of Emergencies, Trauma, and Shock, 3(4), 348. https://doi.org/10.4103/0974-2700.70743

Law, A. M., Kelton, W. D., & Kelton, W. D. (2007). Simulation modeling and analysis (Vol. 3). New York: Mcgraw-hill.

Lee, S., Lo, Y. G., & Chin, T. (2019). Practicing multiliteracies to enhance EFL learners’ meaning making process and language development: A multimodal problem-based approach. Computer Assisted Language Learning, 34(1-2), 66-91. https://doi.org/10.1080/09588221.2019.1614959

McCarthy, M. (Ed.). (2016). The Cambridge guide to blended learning for language teaching. Cambridge: Cambridge University Press.

McGaghie, W. C., Issenberg, S. B., Petrusa, E. R., & Scalese, R. J. (2010). "A critical review of simulation-based medical education research: 2003–2009". Medical Education, 44(1), 50-63. https://doi.org/10.1111/j.1365-2923.2009.03547.x

Okuda, Y., Bryson, E. O., DeMaria, S., Jacobson, L., Quinones, J., Shen, B., & Levine, A. I. (2009). The utility of simulation in medical education: What is the evidence? Mount Sinai Journal of Medicine: A Journal of Translational and Personalized Medicine, 76(4), 330-343. https://doi.org/10.1002/msj.20127

Paige, J. T., Arora, S., Fernandez, G., & Seymour, N. (2015). Debriefing 101: training faculty to promote learning in simulation-based training. The American Journal of Surgery, 209(1), 126–131. https://doi.org/10.1016/j.amjsurg.2014.05.034

Papastergiou, M., & Mastrogiannis, I. (2021). Design, development and evaluation of open interactive learning objects for secondary school physical education. Education and Information Technologies, 26(3), 2981-3007. https://doi.org/10.1007/s10639-020-10390-2

Ramage, J. D., Bean, J. C., & Johnson, J. (2012). The Allyn & Bacon guide to writing. Pearson Longman.

Sahin, D., & Yilmaz, R. M. (2020). The effect of augmented reality technology on middle school students' achievements and attitudes towards science education. Computers & Education, 144, 103710. https://doi.org/10.1016/j.compedu.2019.103710

Schmidt, E., Goldhaber-Fiebert, S. N., Ho, L. A., & McDonald, K. M. (2018). Simulation exercises as a patient safety strategy: A systematic review. Annals of Internal Medicine, 168(6), 407-416. https://doi.org/10.7326/0003-4819-158-5-201303051-00010

Shannon, S., & Chapelle, C. (2017). The handbook of technology and second language teaching and learning. Wiley-Blackwell

Sitzmann, T. (2011). A meta‐analytic examination of the instructional effectiveness of computer‐based simulation games. Personnel psychology, 64(2), 489-528. https://doi.org/10.1111/j.17446570.2011.01190.x

Smith, E., & Johnson, M. (2020). Impact of simulation-based learning on elementary students' reading comprehension skills. Journal of Educational Technology Systems, 49(2), 212-231. https://doi.org/10.1016/j.nedt.2012.06.018

UNESCO. (2020). Education in Pakistan: A priority for sustainable development. https://unesdoc.unesco.org/ark:/48223/pf0000374431

Wang, J., Sun, X. (2021). Assessment of climate change impacts and urban flood management schemes in central Shanghai. International Journal of Disaster Risk Reduction, 65, 102563. https://doi.org/10.1016/j.ijdrr.2021.102563

Yuan, S., Chan, J. F. W., Zhang, A. J., Poon, V. K. M., Chan, C. C. S., Lee, A. C. Y., ... & Yuen, K. Y. (2020). Simulation of the clinical and pathological manifestations of coronavirus disease 2019 (COVID-19) in a golden Syrian hamster model: implications for disease pathogenesis and transmissibility. Clinical infectious diseases, 71(9), 2428-2446. https://doi.org/10.1093/cid/ciaa325

Ziv, A., Wolpe, P. R., Small, S. D., & Glick, S. (2006). Simulation-based medical education: an ethical imperative. Simulation in Healthcare, 1(4), 252-256. https://doi.org/10.1097/00001888-20030800000006

Published

2024-06-30

Issue

Section

Articles

How to Cite

Warsi, L. Q., Asghar, M., & Naseer, R. (2024). Effect of Simulated Learning on Students’ Academic Achievement in Science at Elementary Level. Qlantic Journal of Social Sciences, 5(2), 215-231. https://doi.org/10.55737/qjss.359456387

Similar Articles

1-10 of 115

You may also start an advanced similarity search for this article.