Mental model of the influence of reactant properties on reaction rate

Iqlima Rahayu, Wiji Wiji, Galuh Yuliani, Tuszie Widhiyanti, Sri Mulyani

Abstract


Reaction rate is still considered difficult by students because it contains abstract concepts and mathematical equations, so students' mental models are not complete. To connect the three levels of representation in the process of addressing chemical problems, learning has to employ mental models as a whole. Therefore, this study aims to obtain students' mental models regarding the influence of reactants properties on reaction rates. This research uses a qualitative descriptive method with the Mental Model Diagnostic Test-Interview About Event (MMDT-IAE) instrument. Based on the research results, there are two types of mental models, namely Partial Understanding (PU) and Partial Understanding with Certain Misconceptions (PU/SM). The effect of surface area on reaction rate, students 1, 2, 3, 4, 6, and 7 answered correctly but could not connect the three levels of representation, while student 5 could not explain the relationship between effective collisions and reaction rate. The influence of structure on reaction rates, students 1, 2, 3, 4, and 7 can answer structure, reactivity and collision theory, while student 5 cannot explain collision theory. Students 1, 4, and 7 can answer all the probing questions but cannot connect the three levels to the influence of ionization energy on the reaction rate. The conclusion of this research is that students' mental models regarding the influence of reactant properties are not complete and there are students who experience misconceptions. The implications of this research are as a basis for teachers to design appropriate learning strategies.

Keywords: Mental model; MMDT-IAE; Reaction rate; Three level of representation


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Abraham, M. R., Williamson, V. M., & Westbrook, S. L. (1994). A cross‐age study of the understanding of five chemistry concepts. Journal of Research in Science Teaching, 31(2), 147–165. Portico. https://doi.org/10.1002/tea.3660310206

Allred, Z. D. R., & Bretz S. L. (2019). University chemistry students’ interpretations of multiple representations of the helium atom. Chemistry Education Research and Practice, 20, 358-368. https://doi.org/10.1039/C8RP00296G

Atikah, A., Habiddin H., Nazriati N., Rahayu, S., & Dasna, I. W. (2023). A Systematic Literature Review: Model Mental pada Konsep-Konsep Kimia. Jurnal Inovasi Pendidikan Kimia, 17(2), 106-115. https://doi.org/10.15294/jipk.v17i2.39070

Berg, A., Orraryd, D., Pettersson, A. J., & Hultén, M. (2019). Representational challenges in animated chemistry: self-generated animations as a means to encourage students’ reflections on sub-micro processes in laboratory exercises. Chemistry Education Research and Practice, 20(4), 710–737. https://doi.org/10.1039/c8rp00288f

Bongers, A., Beauvoir, B., Streja, N., Northoff, G., & Flynn, A. B. (2020). Building mental models of a reaction mechanism: the influence of static and animated representations, prior knowledge, and spatial ability. Chemistry Education Research and Practice, 21(2), 496-512. https://doi.org/10.1039/C9RP00198K

Brady, J.E., Jepersen, N.D., & Hyslop, A. (2012). Chemistry the molecular nature of matter. John Wiley & Sons, Inc.

Çam, A., Topçu, M. S., & Sülün, Y. (2015). Preservice science teachers’ attitudes towards chemistry and misconceptions about chemical kinetics. Asia-Pacific Forum on Science Learning and Teaching, 16(2), 1–16.

Chittleborough, G. D. (2004). The role of teaching models and chemical representations in developing students’ mental models of chemical phenomena. Thesis. Curtin University of Technology.

Coll, R. K., & Treagust, D. F. (2003). Investigation of secondary school, undergraduate, and graduate learners’ mental models of ionic bonding. Journal of Research in Science Teaching, 40(5), 464–486. Portico. https://doi.org/10.1002/tea.10085

Derman, A., & Ebenezer, J. (2018). The effect of multiple representations of physical and chemical changes on the development of primary pre-service teachers cognitive structures. Research in Science Education, 50(7), 1575–1601. https://doi.org/10.1007/s11165-018-9744-5

Ewais, A., & Troyer, O. D. (2019). A usability and acceptance evaluation of the use of augmented reality for learning atoms and molecules reaction by primary school female students in palestine. Journal of Educational Computing Research, 57(7), 1643-1670. https://doi.org/10.1177/0735633119855609

Fahmi, F., & Irhasyuarna, Y. (2017). Misconceptions of reaction rates on high school level in banjarmasin. IOSR Journal of Research & Methods in Education (IOSRJRME), 07(01), 54–61. https://doi.org/10.9790/7388-0701045461

Fratiwi N. J., Samsudin A., Ramalis T.R., Saregar A., Diani R., Irwandani, Rasmitadila, & Ravanis K. (2020). Developing MeMoRI on Newton’s laws: For identifying students’ mental models. European Journal of Educational Research, 9(2), 699-708. https://doi.org/10.12973/eu-jer.9.2.699

Gurel, D. K., Erylimaz, A., & McDermott, L. C. (2015). A review and comparison of diagnostic instrument to identify students misconceptions in science. Eurasia Journal of Mathematics, Science & Technology Education, 11(5), 989-1008. https://doi.org/10.12973/eurasia.2015.1369a

Handayanti, Y., Setiabudi, A., & Nahadi, N. (2015). Analisis profil model mental SISWA SMA pada materi laju reaksi. Jurnal Penelitian dan Pembelajaran IPA, 1(1), 107. https://doi.org/10.30870/jppi.v1i1.329

Harahap, I. P. P., & Novita, D. (2021). Identify misconception on reaction rate concept using four-tier multiple choice (4TMC) diagnostic test instrument. Journal of Chemistry Education Research, 5(1), 6-11. https://doi.org/10.26740/jcer.v5n1.p6-11

Jansoon, N., Cooll, R. K., & Somsook, E. (2009). Understanding mental models of dilution in thai students. International Journal of Environmental & Science Education, 4(2), 147–168.

Jusniar, J., Effendy, E., Budiasih, E., & Sutrisno, S. (2020). Reaction rate misunderstandings and their impact on chemical equilibrium misunderstandings. European Journal of Educational Research, 9(4), 1405.

Lestari, L. A., Subandi, S., & Habiddin, H. (2021). Identifikasi miskonsepsi siswa pada materi laju reaksi dan perbaikannya menggunakan model pembelajaran learning cycle 5E dengan strategi konflik kognitif. Jurnal Pendidikan: Teori, Penelitian, Dan Pengembangan, 6(6), 888. https://doi.org/10.17977/jptpp.v6i6.14876

Lin, J. W., & Chiu, M. H. (2007). Exploring the characteristics and diverse sources of students’ mental models of acids and bases. International Journal of Science Education, 29(6), 771–803. http://dx.doi.org/10.1080/09500690600855559

Pavlin, J., Glažar, S. A., Slapničar, M., & Devetak, I. (2019). The impact of students’ educational background, interest in learning, formal reasoning and visualisation abilities on gas context-based exercises achievements with submicro-animations. Chemistry Education Research and Practice, 20, 633-649. https://doi.org/10.1039/C8RP00189H

Redhana, I. W., Sudria, I. B., Suardana, I. N., Suja, I. W., & Putriani, V.D. (2020). Students' mental models on the topic of acids and bases. Journal of Physics: Conference Series, 1521, 042092. doi:10.1088/1742-6596/1521/4/042092

Santos, V. C., & Arroio, A. (2016). The representational levels: Influences and contributions to research in chemical education. Journal of Turkish Science Education, 13(1), 3-18.

Schwedler, S., & Kaldewey, M. (2020). Linking the submicroscopic and symbolic level in physical chemistry: how voluntary simulation-based learning activities foster first-year university students’ conceptual understanding. Chemistry Education Research and Practice, 21(4), 1132–1147. https://doi.org/10.1039/C9RP00211A

Siswaningsih, W., Anisa, N., Komalasari, N. E., & Indah, R. (2014). Pengembangan tes diagnostik two-tier untuk mengidentifikasi miskonsepsi pada materi kimia siswa SMA. Jurnal Pengajaran MIPA, 19(1), 117-127.

Stojanovska, M., M. Petruševski, V., & Šoptrajanov, B. (2017). Study of the use of the three levels of thinking and representation. Contributions, Section of Natural, Mathematical and Biotechnical Sciences, 35(1). https://doi.org/10.20903/csnmbs.masa.2014.35.1.52

Sunyono, S. (2020). Mental models of atomic structure concepts of 11th grade chemistry students. Asia-Pacific Forum on Science Learning and Teaching, 19(1).

Supasorn, S. (2015). Grade 12 students' conceptual understanding and mental models of galvanic cells before and after learning by using small-scale experiments in conjunction with a model kit. Chemistry Education Research and Practice, 16(2), 393–407. https://doi.org/10.1039/C4RP00247D

Titari, I., & Nasrudin, H. (2017). Keterlaksanaan strategi konflik kognitif untuk mereduksi miskonsepsi siswa kelas XI SMA Negeri 1 kertosono pada materi laju reaksi. UNESA Journal of Chemistry Education, 6(2), 144–149.

ÜCe, M., & Ceyhan, I. (2019). Misconception in chemistry education and practices to eliminate them: Literature analysis. Journal of Education and Training Studies, 7(3), 202-208. https://doi.org/10.11114/jets.v7i3.3990

Ulinnaja, H., & Muntholib, S. (2019). High school students’ mental models on chemical equilibrium. Jurnal Pendidikan Sains, 7(2), 58-84.

Wang, C. Y. (2007). The role of mental-modeling ability, content knowledge, and mental models in general chemistry students’ understanding about molecular polarity. Dissertation. University of Missouri, Columbia.




DOI: https://doi.org/10.24114/jpkim.v15i3.50411

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