Development of grade 10 students’ modelling skills on circulatory system through model-based learning
DOI:
https://doi.org/10.58524/jasme.v3i2.321Keywords:
Circulatory System, Modelling Skills, Model-Based Learning, Science Education.Abstract
Aim: This study aims to elevate the modelling skills of Grade 10 students in understanding the circulatory system, using model-based learning, to a level where they can achieve at least a 70% passing score on a relevant unit test.
Method: The study involved 23 students and implemented a model-based learning approach. Research tools included a design for model-based learning, assessments of the modelling process, a modelling ability exam, structural interviews, and student diaries. Data analysis was conducted using percentages and averages, and the action research was structured into two iterative rounds.
Results: Initial findings from the first cycle revealed an average modelling ability score of 18.21 out of 24 (75.87%), with 14 students surpassing the 70% threshold. The second cycle showed marked improvement, with an average score of 19.94 out of 24, translating to an 83.09% success rate. Notably, all 23 students exceeded the 70% benchmark in this cycle.
Conclusion: The implementation of model-based learning significantly enhanced the students' modelling skills in understanding the circulatory system. The method proved effective in not only achieving but surpassing the targeted 70% success threshold, demonstrating its potential as a valuable educational tool in biology.
References
Bryce, C., Baliga, V. B., de Nesnera, K., Fiack, D., Goetz, K., Tarjan, L. M., & Gilbert, G. S. (2016). Models in the Next Generation Science Standards (NGSS) biology classroom. American Biology Teacher, 78(1), 35-42. https://doi.org/10.1525/abt.2016.78.1.35
Buckley, B. C., Gobert, J. D., Kindfield, A. C. H., Horwitz, P., Tinker, R. F., Gerlits, B., Wilensky, U., Dede, C., & Willett, J. (2004). Model-based teaching and learning with bio logical TM: What do they learn? how do they learn? how do we know?. Journal of Science Education and Technology, 13(1), 23-41. https://doi.org/10.1023/B:JOST.0000019636.06814.e3
Chang, S. (2008). The learning effect of modeling ability instruction. Asia-Pacific Forum on Science Learning and Teaching, 9(2), 1-22.
Eilam, B. (2013). Possible constraints of visualization in biology: Challenges in learning with multiple representations. In D. F. Treagust & C. Y. Tsui (Eds), Multiple representations in biological education (pp. 55-73). Dordrecht: Springer Netherlands.
Esther, C., Carlos, S.-A., Cecilia, G., & Concepción, A. (2020). Model-based teaching of physics in higher education: a review of educational strategies and cognitive improvements [Journal]. Journal of Applied Research in Higher Education, 13(1), 33-47. https://doi.org/10.1108/JARHE-11-2019-0287
Fried, D. B., Tinio, P. P., Gubi, A., & Gaffney, J. P. (2019). Enhancing elementary science learning through organic chemistry modeling and visualization. European Journal of Science and Mathematics Education, 7(2), 73-82. https://doi.org/10.30935/scimath/9535
Gilbert, J. K., & Justi, R. (2016). Modelling-based teaching in science education. Switzerland: Springer International Publishing
Gilbert, J. K., Boulter, C. J., & Elmer, R. (2000). Positioning models in science education and in design and technology education. In Developing Models in Science Education (pp. 3–17). Natherland: Kruwer academic plublishers
Gilbert, J. K. (2004). Models and modelling: Routes to more authentic science education. International Journal of Science and Mathematics Education, 2, 115-130. https://doi.org/10.1007/s10763-004-3186-4
Gobert, J. D., & Buckley, B. C. (2000). Introduction to model-based teaching and learning. International Journal of Science Education, 22(9), 891-894. https://doi.org/10.1080/095006900416839
Gonzalez, W. J. (2014). Bas van Fraassen's approach to representation and models in science. Dordrecht: Springer.
Grady, H. M., & Davis, M. T. (2020). Teaching well online with instructional and procedural scaffolding. In Online Education (pp. 101-122). Routledge.
Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S. I., & Reiss, K. M. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153, 103897. https://doi.org/10.1016/j.compedu.2020.103897
Institute for the Promotion of Teaching Science and Technology. (2018) Manual for using basic science curriculum for high school level, science subject group (revised version B.E. 2017) according to the core curriculum of basic education 2008. Bangkok: Printing House. Agricultural Cooperative Assembly of Thailand Ltd.
Jantarit, K., & Sonsupap, K. (2022). Development of Biology Learning Activities Using Model-Based Learning (MBL) on Nutrients and Chemicals in Living Organisms for Mathayomsuksa 4 Student [PhD Thesis, Mahasarakham University].
Kantawang, J., & SINGLOP, S. (2020). Model-based Learning Approaches in Biology to Promote Learning Achievement and Scientific Reasoning of Tenth Grade Students [PhD Thesis, Burapha University].
Krause, K., Bochner, S., & Duchesne, S. (2003). Educational psychology for learning and teaching. Thomson.
Kuatthai, N., & Chookhampaeng, S. (2020). Development Modelling Ability of Grade 10 Students in Biology by Model-based Learning [PhD Thesis, Mahasarakham University].
Lee, S., & Kim, H. B. (2014). Exploring secondary students' epistemological features depending on the evaluation levels of the group model on blood circulation. Science & Education, 23(5), 1075-1099. https://doi.org/10.1007/s11191-013-9639-9
Nicolaou, C. T., & Constantinou, C. P. (2014). Assessment of the modeling competence: A systematic review and synthesis of empirical research. Educational Research Review, 13, 52-73. https://doi.org/10.1016/j.edurev.2014.10.001
Nursal, D., Syamsurizal, S., & Alberida, H. (2023). Meta-analisis Pengaruh Model Pembelajaran Problem Based Learning terhadap Hasil Belajar Biologi. BIOCHEPHY: Journal of Science Education, 3(1), 21–29. https://doi.org/10.52562/biochephy.v3i1.523
Park, B.-Y., Campbell, T., Kelly, M., Gray, R., Arnold, C., Chadwick, C., Cisneros, L. M., Dickson, D., Moss, D. M., Rodriguez, L., Volin, J. C., & Willig, M. R. (2023). Improving NGSS focused model-based learning curriculum through the examination of students’ experiences and iterated models. Research in Science & Technological Education, 41(3), 983–1007. https://doi.org/10.1080/02635143.2021.1978962
Ristanto, R., Rahayu, S., & Mutmainah, S. (2021). Conceptual understanding of excretory system: Implementing cooperative integrated reading and composition based on scientific approach. Participatory Educational Research, 8(1), 28-47. https://doi.org/10.17275/per.21.2.8.1
Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Achér, A., Fortus, D., & Krajcik, J. (2009). Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632-654. https://doi.org/10.1002/tea.20311
Schweingruber, H. A., Keller, T. E., & Quinn, H. R. (2012). A Framework for K-12 science education: Practices, crosscutting concepts, and core ideas K-12. Washington: The National Academies Press.
Teig, N., & Nilsen, T. (2022). Profiles of instructional quality in primary and secondary education: Patterns, predictors, and relations to student achievement and motivation in science. Studies in Educational Evaluation, 74. https://doi.org/10.1016/j.stueduc.2022.101170
Thayban, T., Habiddin, H., Utomo, Y., & Mu’arifin, M. (2021). Understanding of Symmetry: Measuring the Contribution of Virtual and Concrete Models for Students with Different Spatial Abilities. Acta Chimica Slovenica, 68(3). https://doi.org/10.17344/acsi.2021.6836
Wilajan, J., Yongkhamcha, B., & Atichart, P. (2023). Development of Scientific Thinking for 4th Grade Students Based on Predict-Observe-Present-Explain (POPE) Activity Management. Journal of Educational Issues, 9(1). https://doi.org/10.5296/jei.v9i1.20637
Yuanphan, Y., & Nuangchalerm, P. (2023). Developing mental model in solutions of grade 10 students by using model-centered instruction sequence. Jurnal Penelitian dan Pembelajaran IPA, 9(1), 93-108. http://dx.doi.org/10.30870/jppi.v9i1.19145
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