The effect of mental model-based learning on the academic proficiency in school-level chemistry of pre-service teachers

Wiji Wiji

doi:10.36681/

Authors

Wiji Wiji Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.36681/

Keywords:

Mental model-based lecture, school chemistry, pre-service chemistry teacher, alternative conception, multiple representations

Abstract

This research explores the effect of mental model-based learning on understanding school chemistry. The learning activity included group discussion, presentation and class discussion. Pre-service chemistry teachers (PCT) analyzed school chemistry topics in relation to essential underlying concepts. The development of mental models was monitored using a diagnostic test and observations. Most of PCT had two initial models, namely scientifically more accurate ones as in the concept of activation energy and dynamic equilibrium, and incomplete one as in the concept of limiting reagents, enthalpy, reaction speed, collision theory, acidity, chemical reaction, equilibrium constant and titration. PCT’s mental models in school chemistry topics experience development with average scores ranging from 39.14 to 64.00. Wilcoxon signed-rank test with the significance level α = 0.05 shows a significant difference between the median initial and final mental models.

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References

Adbo, K., & Taber, K. S. (2009). Learners’ mental models of the particle nature of matter: A study of 16-year-old Swedish science students. International Journal of Science Education, 31(6), 757-786. https://doi.org/10.1080/09500690701799383

Ademola, I. A., Oladejo, A. I., Gbeleyi, O. A., Onowugbeda, F. U., Owolabi, O. L., Okebukola, P. A., Agbanimu, D. O., & Uhuegbu, S. I. (2023). Impact of culturo-techno-contextual approach (ctca) on learning retention: A study on nuclear chemistry. Journal of Chemical Education, 100(2), 581-588. https://doi.org/10.1021/acs.jchemed.2c00661

Aydeniz, M., Bilican, K., & Kirbulut, Z. D. (2017). Exploring pre-service elementary science teachers’ conceptual understanding of particulate nature of matter through three-tier diagnostic test. International Journal of Education in Mathematics, Science and Technology (IJEMST), 5(3), 221-24.

Bilginer, E. B., & Uzun, E. (2022). Mental model development of preservice science teachers with slow-motion animation and visual material: The case of circulatory system. Journal of Pedagogical Research, 6(5), 153-173. https://doi.org/10.33902/JPR.202217405

Bofferding, L. (2014). Negative integer understanding: Characterizing first graders’ mental models. Journal for Research in Mathematics Education, 45(2), 194-245. https://doi.org/10.5951/jresematheduc.45.2.0194

Chittleborough, G. (2004). The role of teaching models and chemical representations in developing students’ mental models of chemical phenomena [Master’s thesis, Curtin University of Technology]. Curtin’s Institutional Repository. http://hdl.handle.net/20.500.11937/763

Chittleborough, G., & Treagust, D. (2007). The modelling ability of non-major chemistry students and their understanding of the sub-microscopic level. Chemistry Education Research and Practice, 8(3), 274-292. https://doi.org/10.1039/b6rp90035f

Chiu, M. H. (2002). Exploring mental models and causes of high school students’ misconceptions inacids–bases, particle theory, and chemical equilibrium (III). Project report for the NationalScience Council. National Science Council (in Chinese).

Clement, J. (2000). Model based learning as a key research area for science education. International Journal of Science Education, 22(9), 1041-1053. ttps://doi.org/10.1080/095006900416901

Clement, J., & Ramirez, M. A. R. (2008). Using analogies in science teaching and curriculum design: Some guidelines. In J. K. Gilbert (Eds.), Visualization in Science Education (pp. 215-231). Springer. https://doi.org/10.1007/978-1-4020-6494-4_12

Coll, R.K. (2008). Chemistry learners’ preferred mental models for chemical bonding. Journal of Turkish Science Education, 5(1), 22-47.

Demirçalı, S. & Selvi, M. (2022). Effects of model-based science education on students’ academic achievement and scientific process skills. Journal of Turkish Science Education, 19(2), 545-558.

Dindar, A. C., & Geban, O. (2016). Conceptual understanding of acids and bases concepts and motivation to learn chemistry. The Journal of Educational Research, 110(1), 1–13. https://doi.org/10.1080/00220671.2015.1039422

Franco, C., & Colinvaux, D. (2000). Grasping mental models. In J. K. Gilbert & C. J. Boulter (Eds.), Developing models in science education (pp. 93-118). Kluwer Academic Publishers.

Fratiwi, N. J., Samsudin, A., Ramalis, T. R., Saregar, A., Diani, R., Irwandani, I., 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

Gencer, S. & Akkus, H. (2022). The changes in pre-service chemistry teachers’ orientations towards chemistry teaching during chemistry teaching method courses. Journal of Turkish Science Education, 19(3), 830-851.

Halloun, I. A. (2007). Modeling theory in science education (Vol. 24). Springer Science & Business Media.

Henderson, L., & Tallman, J. (2006). Mental models, stimulated recall and teaching computer information literacy. Scarecrow Press.

Hoe, K. Y., & Ramanathan, S. (2015). On the prevalence of alternative conceptions on acid-base chemistry among secondary students: Insights from cognitive and confidence measures. Chemistry Education Research and Practice, 17, 263-282. https://doi.org/10.1039/C5RP00146C

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

Kajornklin, P., Seeboonruang, K., Jarujamrus, P., & Supasorn, S. (2022). Learning difficulties in high school chemistry: The case of chemical equilibrium. International Journal of Science Education and Teaching, 1(3), 121-127. https://doi.org/10.14456/ijset.2022.11

Kambouri, M. (2016) Investigating early years teachers’ understanding and response to children’s preconceptions. European Early Childhood Education Research Journal, 24(6), 907-927. https://doi.org/10.1080/1350293X.2014.970857

Karpudewan, M., Treagust, D. F., Macerino, M., Won, M., & Chandrasegaran, A. L. (2015). Investigating high school students’ understanding of chemical equilibrium concepts. International Journal of Environmental & Science Education, 10(6), 845-863.

Kermen, I., & Méheut, M. (2009). Different models used to interpret chemical changes: Analysis of a curriculum and its impact on French students’ reasoning. Chemistry Education Research and Practice, 10, 24-34. https://doi.org/10.1039/B901457H

Khan, S. (2007). Model‐based inquiries in chemistry. Science Education, 91(6), 877-905.

Lin, J. W., & Chiu, M. H. (2007). Exploring the characteristics and diverse source of students’ mental models of acids and bases. International Journal of Science Education, 29(6), 771-803.

Lin, J.W., & Chiu, M. H. (2010). The mismatch between students’ mental models of acids/bases and their sources and their teacher’s anticipations thereof. International Journal of Science Education, 32(12), 1617-1646.

Mansyur J., Werdhiana I.K., Darsikin D., Kaharu S.N., & Tadeko N. (2022). Students’ mental models about the suspending object in static fluid. Journal of Turkish Science Education, 19(1), 257-287.

Murni, H.P., Azhar, M., Ellizar, E., Nizar, U. K. & Guspatni, G. (2022). Three levels of chemical representation-integrated and structured inquiry-based reaction rate module: its effect on students’ mental models. Journal of Turkish Science Education, 19(3), 758-772.

Newman, D. L., Stefkovich, M., Clasen, C., Franzen, M. A., & Wright, L. K. (2018). Physical models can provide superior learning opportunities beyond the benefits of active engagements. Biochemistry and Molecular Biology Education, 46(5), 435-444. https://doi.org/10.1002/bmb.21159

Park, E. J., & Light, G. (2009). Identifying atomic structure as a threshold concept: Student mental models and troublesomeness. International Journal of Science Education, 31(2), 233-258.

Redhana, I.W., Sudria, I. B., Suardana, I. N., Suja, I. W., & Putriani, V. D. (2020). Students’ mental models in acid-base topic. Journal of Physics: Conference Series, 1521, 042092. https://doi.org/10.1088/1742-6596/1521/4/042092

Reese, D. D. (2008). Engineering instructional metaphors within virtual environments to enhance visualization. In J. K. Gilbert, M. Reiner, & M. Nakhleh (Eds.), Visualization: Theory and Practice in Science Education, (pp. 133–153). Springer.

Resbiantoro, G., Setiani, R. & Dwikoranto. (2022). A review of misconception in physics: the diagnosis, causes, and remediation. Journal of Turkish Science Education, 19(2), 403-427.

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.

Schwichow, M., Hellmann, K., & Seifert, S. M. (2021). Pre-service teachers’ perception of competence, social relatedness, and autonomy in a flipped classroom: Effects on learning to notice student preconceptions. Journal of Science Teacher Education, 88(3), 1-21. https://doi.org/10.1080/1046560X.2021.1913332

Soeharto, S. (2021). Development of a diagnostic assessment test to evaluate science misconceptions in terms of school grades: A rasch measurement approach. Journal of Turkish Science Education, 18(3), 351-370.

Stains, M., & Sevian, H. (2015). Uncovering implicit assumptions: A large-scale study on students’ mental models of diffusion. Research in Science Education, 45(6), 807-840. https://doi.org/10.1007/s11165-014-9450-x

Stieff, M., Scopelitis S., Lira M.E., & Desutter, D. (2016). Improving representational competence with concrete models. Science Education, 100(2), 344-363.

Strickland, A. M., Kraft, A., & Bhattacharyya, G. (2010). What happens when representations fail to represent? Graduate students’ mental models of organic chemistry diagrams. Chemistry Education Research and Practice, 11(4), 293-301.

Utami, A. D., Sa'dijah, C., Subanji, & Irawati, S. (2019). Students' pre-initial mental model: The case of indonesian first-year of college students. International Journal of Instruction, 12(1), 1173-1188.

Wang, C.Y. & Barrow, L.H. (2010). Characteristics and levels of sophistication: An analysis of chemistry students’ ability to think with mental models. Research in Science Education, 41(1), 561-586.

Yan Y. K., & Subramaniam R. (2017). Using a multi-tier diagnostic test to explore the nature of students’ alternative conceptions on reaction kinetics. Chemistry Education Research and Practice, 19(1), 213-26. http://dx.doi.org/10.1039/C7RP00143F