LEARNING RESPIRATORY SYSTEM THROUGH MULTIPLE REPRESENTATION: CHALLENGE TO ENHANCE REASONING SKILL
DOI:
https://doi.org/10.18269/jpmipa.v27i1.38938Keywords:
multiple representation, reasoning skill, toulmins' argumentationAbstract
This study examines the impact of implementing multiple representation method in responding to the challenge of learning science specifically in relation to enhancing students’ reasoning skill. Pre-experimental method was applied to obtain research data from participants consisted of 8th grader students at a private junior high school in Bandung, Indonesia. The effect on reasoning skill was studied from students’ arguments in answering question related to respiratory system. The arguments were then analyzed by the completeness of argument component, level of argument, and quality of argument referring to Toulmin’s argumentation pattern (TAP). The findings show that students experienced significant improvement in reasoning skill expressed in their arguments. The improvement was evident in the higher argument level and better argument quality achieved by students after the implementation of multiple representation method. In relation to quality of argument, the overall quality of argument shifted from the domination of weak arguments to the domination of strong arguments. Additionally, the use of multiple representation in learning assists students to be able to use various forms of information such as graphics, visual images, tables, scientific formula, and written expression in explaining concepts.
Downloads
References
Ainsworth, S. (1999). The functions of multiple representations. Computers & Education, 33(2–3), 131–152. https://doi.org/10.1016/S0360-1315(99)00029-9
Ainsworth, S. (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16(3), 183–198. https://doi.org/10.1016/j.learninstruc.2006.03.001
Anderson, D. (2005). Peirce and the art of reasoning. Studies in Philosophy and Education, 24(3–4), 277–289. https://doi.org/10.1007/s11217-005-3849-9
Ariës, R. J., Groot, W., & Van Den Brink, H. M. (2015). Improving reasoning skills in secondary history education by working memory training. British Educational Research Journal, 41(2), 210–228. https://doi.org/10.1002/berj.3142
Dawson, V., & Venville, G. J. (2009). High-school students’ informal reasoning and argumentation about biotechnology: An indicator of scientific literacy? International Journal of Science Education, 31(11), 1421–1445. https://doi.org/10.1080/09500690801992870
Erduran, S., & Jiménez-Aleixandre, M. P. (2008). Argumentation in science education. Perspectives from Classroom-Based Research. Dordre-Cht: Springer.
Gelder, T. van. (2005). Teaching critical thinking: Some lessons from cognitive science. College Teaching, 53(1), 41–48. https://doi.org/abs/10.3200/ctch.53.1.41-48
Gerber, B. L., Cavallo, A. M. L., & Marek, E. A. (2001). Relationships among informal learning environments, teaching procedures and scientific reasoning ability. International Journal of Science Education, 23(5), 535–549. https://doi.org/10.1080/09500690116971
Hahn, U., & Oaksford, M. (2007). The rationality of informal argumentation: A Bayesian approach to reasoning fallacies. Psychological Review, 114(3), 704. https://doi.org/10.1037/0033-295X.114.3.704
Hake, R. R. (1991). My Conversion to the Arons‐Advocated Method of science Education. Teaching Education, 3(2), 109–112. https://doi.org/10.1080/1047621910030211
Holyoak, K. J., & Morrison, R. G. (2005). The Cambridge Handbook of Thinking and Reasoning (1st ed.). Cambridge University Press.
Kirschner, P. A., Sweller, J., Kirschner, F., & Zambrano, J. (2018). From cognitive load theory to collaborative cognitive load theory. International Journal of Computer-Supported Collaborative Learning, 13(2), 213–233. https://doi.org/10.1007/s11412-018-9277-y
Liu, L., & Hmelo‐Silver, C. E. (2009). Promoting complex systems learning through the use of conceptual representations in hypermedia. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 46(9), 1023–1040. https://doi.org/abs/10.1002/tea.20297
Mcneill, K. L., Lizotte, D. J., Krajcik, J., & Marx, R. W. (2009). Supporting Students ’ Construction of Scientific Explanations by Fading Scaffolds in Instructional Materials Supporting Students ’ Construction of Scientific Explanations by Fading Scaffolds in Instructional Materials. East, 15(917350197), 153–191. https://doi.org/10.1207/s15327809jls1502
Okeefe, P. A., Letourneau, S. M., Homer, B. D., Schwartz, R. N., & Plass, J. L. (2014). Learning from multiple representations: An examination of fixation patterns in a science simulation. Computers in Human Behavior, 35(June), 234–242. https://doi.org/10.1016/j.chb.2014.02.040
Olesen, P. J., Westerberg, H., & Klingberg, T. (2004). Increased prefrontal and parietal activity after training of working memory. Nature Neuroscience, 7(1), 75.
Osborne, J., Erduran, S., & Simon, S. (2004). Enhancing the quality of argumentation in school science. Journal of Research in Science Teaching, 41(10), 994–1020. https://doi.org/10.1002/tea.20035
Rasul, S., Bukhsh, Q., & Batool, S. (2011). A study to analyze the effectiveness of audio visual aids in teaching learning process at university level. Procedia-Social and Behavioral Sciences, 28, 78–81. https://doi.org/10.1016/j.sbspro.2011.11.016
Rau, M. A., Aleven, V., & Rummel, N. (2017). Making connections among multiple graphical representations of fractions: sense-making competencies enhance perceptual fluency, but not vice versa. Instructional Science, 45(3), 331–357. https://doi.org/10.1007/s11251-017-9403-7
Renocha, P. D., Rochintaniawati, D., & Widodo, A. (2017). Junior High School Students’ Reasoning. Advances in Social Science, Education, and Humanities Research, 57(ICMSEd 2016), 2–6. https://doi.org/10.1186/1740-3391-2-4
Sadler, T. D., & Zeidler, D. L. (2005). Patterns of informal reasoning in the context of socioscientific decision making. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 42(1), 112–138. https://doi.org/abs/10.1002/tea.20042
Simon, S. (2008). Using Toulmin’s Argument Pattern in the evaluation of argumentation in school science. International Journal of Research and Method in Education, 31(3), 277–289. https://doi.org/10.1080/17437270802417176
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer. https://doi.org/10.1007/978-1-4419-8126-4_18
Tsui, C.-Y., & Treagust, D. F. (2013). Introduction to multiple representations: Their importance in biology and biological education. In Multiple representations in biological education (pp. 3–18). Springer. https://doi.org/https://doi.org/10.1007/978-94-007-4192-8_1
Waldrip, B., & Prain, V. (2012). Reasoning through representing in school science. Teaching Science: The Journal of the Australian Science Teachers Association, 58(4). https://doi.org/10.3316/aeipt.203254
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
