The effect of gizmos virtual laboratory on scientific reasoning in biology education
DOI:
https://doi.org/10.21009/biosferjpb.55423Keywords:
Analysis, Digital simulation, Ecosystem, HOTS, InquiryAbstract
Scientific reasoning skills are fundamental in biology education, yet their development remains a challenge in conventional learning. Virtual laboratories like Gizmos offer a promising alternative to address this issue. Therefore, this study aimed to analyze the effect of the Gizmos virtual laboratory on seventh-grade students' scientific reasoning skills on the ecosystem topic. This study employed a one-group pretest-posttest design, with data collected through a scientific reasoning test and a student response questionnaire. The results showed a significant improvement in students' scientific reasoning skills (p < 0.05) with a moderate N-gain score. Furthermore, students demonstrated positive responses towards the virtual laboratory, although some technical challenges were reported. These findings suggest that the Gizmos virtual laboratory is an effective tool for enhancing scientific reasoning in biology education, with teacher guidance being crucial for optimal implementation.
References
Arzu, A. (2014). Transition between Open and Guided Inquiry Instruction. Procedia - Social and Behavioral Sciences, 141, 407–412. https://doi.org/10.1016/j.sbspro.2014.05.071
Asare, S., Amoako, S. K., Biilah, D. K., & Apraku, T. B. (2023). The use of virtual labs in science education: A comparative study of traditional labs and virtual environments. International Journal of Science Academic Research, 04(11), 6563–6569. https://www.scienceijsar.com/sites/default/files/article-pdf/IJSAR-1860.pdf
Bao, L., Cai, T., Koenig, K., Fang, K., Han, J., Wang, J., Liu, Q., Ding, L., Cui, L., Luo, Y., Wang, Y., Li, L., & Wu, N. (2009). Learning and scientific reasoning. Science, 323(5914), 586–587. https://doi.org/10.1126/science.1167740
Chen, Y. C., Lu, Y. L., & Lien, C. J. (2019). Learning environments with different levels of technological engagement: a comparison of game-based, video-based, and traditional instruction on students’ learning. Interactive Learning Environments, 29(8), 1363–1379. https://doi.org/10.1080/10494820.2019.1628781
Choo, W. S. (2021). Student perspectives of various learning approaches used in an undergraduate food science and technology subject. Journal of Food Science Education, 20, 146–154. https://doi.org/10.1111/1541-4329.12237
Creswell, W. J., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative adn Mixed Methods Approaches (Fifth, Vol. 53, Issue 9). Sage Publications Inc.
Davenport, J. L., & Quellmalz, E. S. (2017). Assessing Science Inquiry and Reasoning Using Dynamic Visualizations and Interactive Simulations. In R. Lowe & R. Ploetzner (Eds.), Learning from Dynamic Visualization. Springer, Cham. https://doi.org/10.1007/978-3-319-56204-9_9
Dela Cruz, J. S., & Hermosura, J. P. C. R. (2024). The influence of Gizmos digital simulation on the perceptions of grade 9 high school learner. Psychology and Education: A Multidisciplinary Journal, 19(4), 495–505. https://doi.org/10.5281/zenodo.11094161
Deriba, F. G., Saqr, M., & Tukiainen, M. (2024). Assessment of accessibility in virtual laboratories: a systematic review. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1351711
Drummond, C., & Fischhoff, B. (2017). Individuals with greater science literacy and education have more polarized beliefs on controversial science topics. Proceedings of the National Academy of Sciences of the United States of America, 114(36), 9587–9592. https://doi.org/10.1073/pnas.1704882114
Fancovicová, J., & Prokop, P. (2011). Plants Have a Chance: Outdoor Educational Programmes Alter Students’ Knowledge and Attitudes towards Plants. Environmental Education Research, 17, 537–551. https://doi.org/10.1080/13504622.2010.545874
Gegenfurtner, A., Narciss, S., Fryer, L. K., Järvelä, S., & Harackiewicz, J. M. (2021). Editorial: Affective Learning in Digital Education. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.630966
Gnesdilow, D., Fathema, N., Lin, F., Kang, S., Dornfeld, C., & Puntambekar, S. (2016). Exploring middle school students’ science learning and discourse in physical and virtual labs. Proceedings of the International Conference of the Learning Sciences (ICLS), 950–953. https://repository.isls.org/handle/1/351
Habig, B., & Gupta, P. (2021). Authentic STEM research, practices of science, and interest development in an informal science education program. International Journal of STEM Education, 8(1). https://doi.org/10.1186/s40594-021-00314-y
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809
Kind, P., & Osborne, J. (2017). Styles of scientific reasoning: A cultural rationale for science education? Science Education, 101(1), 8–31. https://doi.org/10.1002/sce.21251
Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage Publications.
Lawson, A. E. (2004). The nature and development of scientific reasoning: A synthetic view. International Journal of Science and Mathematics Education, 2(3), 307–338. https://doi.org/10.1007/s10763-004-3224-2
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 55. https://legacy.voteview.com/pdf/Likert_1932.pdf
Luo, M., Sun, D., Zhu, G., Zhu, L., & Jia, F. (2025). Factors influencing scientific reasoning ability in junior secondary students: Examining gender and grade-level predictive differences. Thinking Skills and Creativity, 57, 101824. https://doi.org/10.1016/j.tsc.2025.101824
Markowitz, D. M., Laha, R., Perone, B. P., Pea, R. D., & Bailenson, J. N. (2018). Immersive Virtual Reality field trips facilitate learning about climate change. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02364
McComas, W. F. (2014). Nature of Science in the Science Curriculum and in Teacher Education Programs in the United States. In M. R. Matthews (Ed.), International Handbook of Research in History, Philosophy and Science Teaching (pp. 1993–2023). Springer Netherlands. https://doi.org/10.1007/978-94-007-7654-8_61
McDonald, C. V. (2016). STEM education: A review of the contribution of the disciplines of science, technology, engineering and mathematics. Science Education International, 27(4), 530–569. https://www.icaseonline.net/sei/december2016/p4.pdf
Meister, S., & Upmeier zu Belzen, A. (2021). Analysis of Data-Based Scientific Reasoning from a Product-Based and a Process-Based Perspective. Education Sciences, 11(10), 639. https://doi.org/10.3390/educsci11100639
Orhan, U., & Genç, M. (2024). Socio-scientific reasoning of science, social studies and primary teachers. Research in Science & Technological Education. https://doi.org/10.1080/02635143.2024.2338808
Reyes, R. L., Isleta, K. P., Regala, J. D., & Bialba, D. M. R. (2024). Enhancing experiential science learning with virtual labs: A narrative account of merits, challenges, and implementation strategies. Journal of Computer Assisted Learning, 40(6). https://doi.org/10.1111/jcal.13061
Seifert, T. (2004). Understanding student motivation. Educational Research, 46(2), 137–149. https://doi.org/10.1080/0013188042000222421
Shofiyah, N., Jatmiko, B., Suprapto, N., Prahani, B. K., & Anggraeni, D. M. (2025). The use of technology to scientific reasoning in science education: A bibliometric and content analysis of research papers. Social Sciences & Humanities Open, 11, 101534. https://doi.org/10.1016/j.ssaho.2025.101534
Yanto, B. E., Subali, B., & Suyanto, S. (2019). Improving students’ scientific reasoning skills through the three levels of inquiry. International Journal of Instruction, 12(4), 689–704. https://doi.org/10.29333/iji.2019.12444a
Zeineddin, A., & Abd-El-Khalick, F. (2010). Scientific reasoning and epistemological commitments: Coordination of theory and evidence among college science students. Journal of Research in Science Teaching, 47(9), 1064–1093. https://doi.org/10.1002/tea.20382
Zhou, S., Han, J., Koenig, K., Raplinger, A., Pi, Y., Li, D., Xiao, H., Fu, Z., & Bao, L. (2016). Assessment of Scientific Reasoning: the Effects of Task Context, Data, and Design on Student Reasoning in Control of Variables. Thinking Skills and Creativity, 19, 175–187. https://doi.org/10.1016/j.tsc.2015.11.004
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