Teaching Stereochemistry with Multimedia and Hands-On Models: The Relationship between Students’ Scientific Reasoning Skills and The Effectiveness of Model Type
This paper presents an analysis of the use of multimedia and hands-on models on university students’ understanding of stereochemistry. The relationship between students’ scientific reasoning skills and their understanding of stereochemistry was also determined. Two groups of second-year chemistry students from the State University of Malang taking organic chemistry for the 2020/21 academic year participated in this study. One group of students experienced stereochemistry teaching using multimedia models and the other hands-on models as the learning medium. Lawson’s Classroom Test of Scientific Reasoning and Short-Answer Stereochemistry Test were applied. The former was deployed to measure students’ scientific reasoning skills, while the latter was used to test their understanding of stereochemistry. The results revealed that the students’ scientific reasoning skills were significantly below the expected standard, falling in the low category. Students with high scientific reasoning skills exhibited a better understanding of stereochemistry than those with low levels. Both multimedia and hands-on models revealed an equal contribution towards students’ understanding of stereochemistry. Also, it suggests that multimedia models tend to favour students with high scientific reasoning skills, while hands-on models favour those with low skills.
Abraham, M., Varghese, V., & Tang, H. (2010). Using molecular representations to aid student understanding of stereochemical concepts. Journal of Chemical Education. https://doi.org/10.1021/ed100497f
Al-Balushi, S. M., & Al-Hajri, S. H. (2014). Associating animations with concrete models to enhance students’ comprehension of different visual representations in organic chemistry. Chemistry Education Research and Practice. https://doi.org/10.1039/c3rp00074e
Anggriawan, B. (2017). Pengaruh pembelajaran penemuan terbimbing berbantuan multimedia terhadap pemahaman materi simetri mahasiswa dengan kemampuan spasial yang berbeda. [The effect of multimedia-assisted guided discovery learning on the understanding of symmetry material for students with different spatial abilities]. Universitas Negeri Malang.
Babakr, Z. H., Mohamedamin, P., & Kakamad, K. (2019). Piaget’s cognitive developmental theory: Critical review. Education Quarterly Reviews, 2(3), 517–524. https://doi.org/10.31014/aior.1993.02.03.84
Bao, L., Koenig, K., Xiao, Y., Fritchman, J., Zhou, S., & Chen, C. (2022). Theoretical model and quantitative assessment of scientific thinking and reasoning. Physical Review Physics Education Research, 18(1), 10115. https://doi.org/10.1103/PhysRevPhysEducRes.18.010115
Beck, J. P., Muniz, M. N., Crickmore, C., & Sizemore, L. (2020). Physical chemistry students’ navigation and use of models to predict and explain molecular vibration and rotation. Chemistry Education Research and Practice, 21(2), 597–607. https://doi.org/10.1039/C9RP00285E
Bernard, P., & Mendez, J. D. (2020). Drawing in 3D: Using 3D printer pens to draw chemical models. Biochemistry and Molecular Biology Education, 48(3), 253–258. https://doi.org/https://doi.org/10.1002/bmb.21334
Bodner, G. M., Gardner, D. E., & Briggs, M. W. (2005). Models and modeling. In N. Pienta, M. Cooper, & T. Greenbowe (Eds.), Chemists’ Guide to Effective Teaching, Volume 1 (pp. 67–76). Prentice-Hall.
Bunce, D. M., Komperda, R., Schroeder, M. J., Dillner, D. K., Lin, S., Teichert, M. A., & Hartman, J. R. (2017). Differential use of study approaches by students of different achievement levels. Journal of Chemical Education, 94(10), 1415–1424. https://doi.org/10.1021/acs.jchemed.7b00202
Casselman, M. D., Eichler, J. F., & Atit, K. (2021). Advancing multimedia learning for science: Comparing the effect of virtual versus physical models on student learning about stereochemistry. Science Education, 105(6), 1285–1314. https://doi.org/https://doi.org/10.1002/sce.21675
Çeken, B., & Taşkın, N. (2022). Multimedia learning principles in different learning environments: a systematic review. Smart Learning Environments, 9(1), 19. https://doi.org/10.1186/s40561-022-00200-2
Chamizo, J. A. (2013). A New definition of models and modeling in chemistry’s teaching. Science & Education, 22(7), 1613–1632. https://doi.org/10.1007/s11191-011-9407-7
Chang, H.-Y., Hsu, Y.-S., Wu, H.-K., & Tsai, C.-C. (2018). Students’ development of socio-scientific reasoning in a mobile augmented reality learning environment. International Journal of Science Education, 40(12), 1410–1431. https://doi.org/10.1080/09500693.2018.1480075
Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge, Taylor Francis.
Daaif, J., Zerraf, S., Tridane, M., Benmokhtar, S., & Belaaouad, S. (2019). Pedagogical engineering to the teaching of the practical experiments of chemistry: Development of an application of three-dimensional digital modelling of crystalline structures. Cogent Education, 6(1), 1708651. https://doi.org/10.1080/2331186X.2019.1708651
Devetak, I., Hajzeri, M., Glažar, S. A., & Vogrinc, J. (2010). The influence of different models on 15-years-old students’ understanding of the solid state of matter. Acta Chimica Slovenica, 57(4), 904–911.
Dickenson, C. E., Blackburn, R. A. R., & Britton, R. G. (2020). 3D printing workshop activity that aids representation of molecules and student comprehension of shape and chirality. Journal of Chemical Education, 97(10), 3714–3719. https://doi.org/10.1021/acs.jchemed.0c00457
Ding, L., Wei, X., & Mollohan, K. (2016). Does higher education improve student scientific reasoning skills? International Journal of Science and Mathematics Education, 14(4), 619–634. https://doi.org/10.1007/s10763-014-9597-y
Dowd, J. E., Thompson, R. J., Schiff, L. A., & Reynolds, J. A. (2018). Understanding the complex relationship between critical thinking and science reasoning among undergraduate thesis writers. CBE—Life Sciences Education, 17(1), ar4. https://doi.org/10.1187/cbe.17-03-0052
Durmaz, M. (2018). Determination of prospective chemistry teachers’ cognitive structures and misconceptions about stereochemistry. Journal of Education and Training Studies, 6(9), 13–20. https://doi.org/10.11114/jets.v6i9.3353
Eggen, P. D., & Kauchak, D. P. (2012). Strategies and models for teachers: Teaching content and thinking skills. Pearson.
Elford, D., Lancaster, S. J., & Jones, G. A. (2022). Exploring the effect of augmented reality on cognitive load, attitude, spatial ability, and stereochemical perception. Journal of Science Education and Technology, 31(3), 322–339. https://doi.org/10.1007/s10956-022-09957-0
Fatemah, A., Rasool, S., & Habib, U. (2020). Interactive 3D visualisation of chemical structure diagrams embedded in text to aid spatial learning process of students. Journal of Chemical Education, 97(4), 992–1000. https://doi.org/10.1021/acs.jchemed.9b00690
Ferk, V., Vrtacnik, M., Blejec, A., & Gril, A. (2003). Students’ understanding of molecular structure representations. International Journal of Science Education, 25(10), 1227–1245. https://doi.org/10.1080/0950069022000038231
Francoeur, E. (1997). The forgotten tool: The design and use of molecular models. Social Studies of Science, 27(1), 7–40. https://doi.org/10.1177/030631297027001002
Francoeur, E. (2000). Beyond dematerialisation and inscription: Does the materiality of molecular models really matter? Hyle, 6(1).
Fried, D. B., Tinio, P. P., Gubi, A., & Gaffney, J. P. (2019). Enhancing elementary science learning through organic chemistry modeling and visualisation. European Journal of Science and Mathematics Education, 7(2), 73–82.
Gilbert, J. K. (1997). Exploring models and modeling in science education and technology education. University of Reading.
Guy-Gaytán, C., Gouvea, J. S., Griesemer, C., & Passmore, C. (2019). Tensions between learning models and engaging in modeling. Science & Education, 28(8), 843–864. https://doi.org/10.1007/s11191-019-00064-y
Habig, S. (2020). Who can benefit from augmented reality in chemistry? Sex differences in solving stereochemistry problems using augmented reality. British Journal of Educational Technology, 51(3), 629–644. https://doi.org/https://doi.org/10.1111/bjet.12891
Hallström, J., & Schönborn, K. J. (2019). Models and modelling for authentic STEM education: reinforcing the argument. International Journal of STEM Education, 6(1), 22. https://doi.org/10.1186/s40594-019-0178-z
Ingham, A. M., & Gilbert, J. K. (1991). The use of analogue models by students of chemistry at higher education level. International Journal of Science Education, 13(2), 193–202. https://doi.org/10.1080/0950069910130206
Jones, O. A. H., Stevenson, P. G., Hameka, S. C., Osborne, D. A., Taylor, P. D., & Spencer, M. J. S. (2021). Using 3D printing to visualise 2D chromatograms and NMR spectra for the classroom. Journal of Chemical Education, 98(3), 1024–1030. https://doi.org/10.1021/acs.jchemed.0c01130
Júnior, J. N. da S., Sousa Lima, M. A., Xerez Moreira, J. V., Oliveira Alexandre, F. S., de Almeida, D. M., de Oliveira, M. da C. F., & Melo Leite Junior, A. J. (2017). Stereogame: An interactive computer game that engages students in reviewing stereochemistry concepts. Journal of Chemical Education, 94(2), 248–250. https://doi.org/10.1021/acs.jchemed.6b00475
Júnior, J. N. da S., Uchoa, D. E. de A., Sousa Lima, M. A., & Monteiro, A. J. (2019). Stereochemistry game: Creating and playing a fun board game to engage students in reviewing stereochemistry concepts. Journal of Chemical Education, 96(8), 1680–1685. https://doi.org/10.1021/acs.jchemed.8b00897
Justi, R., & Gilbert, J. K. (2003). Models and modelling in chemical education. In J. K. Gilbert, O. De Jong, R. Justi, D. F. Treagust, & J. H. Van Driel (Eds.), Chemical Education: Towards Research-based Practice (pp. 47–68). Springer Netherlands. https://doi.org/10.1007/0-306-47977-X_3
Kok, P. J. (2020). Pre-service teachers’ visuospatial cognition: 2D to 3D transition. African Journal of Research in Mathematics, Science and Technology Education, 24(3), 293–306. https://doi.org/10.1080/18117295.2020.1848279
Kösa, T., & Karakuş, F. (2018). The effects of computer-aided design software on engineering students’ spatial visualisation skills. European Journal of Engineering Education, 43(2), 296–308. https://doi.org/10.1080/03043797.2017.1370578
Krell, M., Mathesius, S., van Driel, J., Vergara, C., & Krüger, D. (2020). Assessing scientific reasoning competencies of pre-service science teachers: translating a German multiple-choice instrument into English and Spanish. International Journal of Science Education, 42(17), 2819–2841. https://doi.org/10.1080/09500693.2020.1837989
Lawson, Anton E. (1978). The development and validation of a classroom test of formal reasoning. Journal of Research in Science Teaching, 15(1), 11–24. https://doi.org/https://doi.org/10.1002/tea.3660150103
Lawson, Antone 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
Lazenby, K., Rupp, C. A., Brandriet, A., Mauger-Sonnek, K., & Becker, N. M. (2019). Undergraduate chemistry students’ conceptualisation of models in general chemistry. Journal of Chemical Education, 96(3), 455–468. https://doi.org/10.1021/acs.jchemed.8b00813
Lazonder, A. W., Janssen, N., Gijlers, H., & Walraven, A. (2021). Patterns of development in children’s scientific reasoning: Results from a three-year longitudinal study. Journal of Cognition and Development, 22(1), 108–124. https://doi.org/10.1080/15248372.2020.1814293
Martin, G. N., Carlson, N. R., & Buskist, W. (2010). Psychology. Pearson.
Mayer, R. E. (2008). Applying the science of learning: Evidence-based principles for the design of multimedia instruction. American Psychologist, 63(8), 760–769. https://doi.org/https://doi.org/10.1037/0003-066X.63.8.760
Mistry, N., Singh, R., & Ridley, J. (2020). A web-based stereochemistry tool to improve students’ ability to draw newman projections and chair conformations and assign R/S labels. Journal of Chemical Education, 97(4), 1157–1161. https://doi.org/10.1021/acs.jchemed.9b00688
O’Brien, M. (2016). Creating 3-dimensional molecular models to help students visualise stereoselective reaction pathways. Journal of Chemical Education, 93(9), 1663–1666. https://doi.org/10.1021/acs.jchemed.6b00250
Pecina, M. A., Smith, C. A., Johnson, K., & Snetsinger, P. (1999). A classroom demonstration of rayleigh light scattering in optically active and inactive systems. Journal of Chemical Education, 76(9), 1230. https://doi.org/10.1021/ed076p1230
Richter, J., Scheiter, K., & Eitel, A. (2016). Signaling text-picture relations in multimedia learning: A comprehensive meta-analysis. Educational Research Review, 17, 19–36. https://doi.org/https://doi.org/10.1016/j.edurev.2015.12.003
Rodrigues, S., & Gvozdenko, E. (2011). Student engagement with a science simulation: Aspects that matter. Center for Educational Policy Studies Journal, 1(4), 27–43. https://doi.org/10.26529/CEPSJ.404
Rodriguez, J., & Rodriguez, V. L. G. (2017). Spatial visualisation skills in courses with graphics or solid modeling content. 2017 IEEE Global Engineering Education Conference (EDUCON), 1778–1781. https://doi.org/10.1109/EDUCON.2017.7943090
Savec, V. F., Vrtacnik, M., Gilbert, J. K., & Peklaj, C. (2006). In-service and pre-service teachers` optionion on the use of models in teaching chemistry. Acta Chimica Slovenica, 53(3), 381–390.
Schwartz, P. M., Lepore, D. M., Morneau, B. N., & Barratt, C. (2011). Demonstrating optical activity using an iPad. Journal of Chemical Education, 88(12), 1692–1693. https://doi.org/10.1021/ed200014m
Sjöström, J., Eilks, I., & Talanquer, V. (2020). Didactic models in chemistry education. Journal of Chemical Education, 97(4), 910–915. https://doi.org/10.1021/acs.jchemed.9b01034
Solomons, T. W. G., Snyder, S. A., & Fryhle, C. B. (2017). Organic chemistry. Wiley.
Stull, A. T., Hegarty, M., Dixon, B., & Stieff, M. (2012). Representational translation with concrete models in organic chemistry. Cognition and Instruction, 30(4), 404–434. https://doi.org/10.1080/07370008.2012.719956
Taagepera, M., Arasasingham, R. D., King, S., Potter, F., Martorell, I., Ford, D., Wu, J., & Kearney, A. M. (2011). Integrating symmetry in stereochemical analysis in introductory organic chemistry. Chemistry Education Research and Practice, 12(3), 322–330. https://doi.org/10.1039/C1RP90039K
Thayban, T., Habiddin, H., & Utomo, Y. (2020). Concrete model vs virtual model: Roles and implications in chemistry learning. J-PEK (Jurnal Pembelajaran Kimia), 5(2), 90–107. https://doi.org/10.17977/UM026V5I22020P090
Thayban, T., Habiddin, H., Utomo, Y., & Muarifin, M. (2021). Understanding of symmetry: measuring the contribution of virtual and concrete models for students with different spatial abilities. Acta Chimica Slovenica, 68(3), 736–743. https://doi.org/10.17344/acsi.2021.6836
Ugliarolo, E. A., & Muscia, G. C. (2012). Utilización de tecnología multimedia para la enseñanza de estereoquímica en el ámbito universitario [Use of multimedia technology for the teaching of stereochemistry in the university environment]. Educacion Quimica, 23(1), 5–10. https://doi.org/10.1016/S0187-893X(17)30091-5
Upton, H. L. (2001). Introducing stereochemistry to non-science majors. Journal of Chemical Education, 78(4), 475. https://doi.org/10.1021/ed078p475
Wu, H. K., & Shah, P. (2004). Exploring visuospatial thinking in chemistry learning. In Science Education. https://doi.org/10.1002/sce.10126
Yeşiloğlu, S. N. (2019). Investigation of pre-service chemistry teachers’ understanding of radioactive decay: a laboratory modelling activity. Chemistry Education Research and Practice, 20(4), 862–872. https://doi.org/10.1039/C9RP00058E
Zulkipli, Z. A., Yusof, M. M. M., Ibrahim, N., & Dalim, S. F. (2020). Identifying scientific reasoning skills of science education students. Asian Journal of University Education, 16(3), 275–280.
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