Multimodal Verbal Representations of Environmental Pollution: How Students Construct Meaning through Local Wisdom
DOI:
https://doi.org/10.31849/vta2qp62Keywords:
Multimodal learning, Science literacy, Environmental education, Ethnoecological learning, Local wisdom integrationAbstract
Understanding environmental pollution and ecosystem degradation requires students not only to recognise environmental phenomena but also to articulate causal relationships through coherent scientific explanations. However, many students struggle to translate visual, graphical, and contextual information into structured verbal representations, limiting their ability to construct meaningful environmental concepts. While contextual and local wisdom–based learning has increasingly been promoted in science education, empirical evidence on how students develop verbal representations of environmental concepts within an ethnoecological framework remains limited. Addressing this gap, the present study investigates the initial profile of students’ verbal representation skills in constructing knowledge of environmental pollution and damage through an ethnoecological learning perspective. A qualitative descriptive design was employed involving 20 tenth-grade students from SMAN 16 Surabaya selected through purposive sampling. Data were collected using a verbal representation test designed to measure three indicators: abstraction, relation, and extension across multiple representation types, including visual–verbal, verbal–verbal, graphic–verbal, and mathematical–verbal forms. The findings indicate that students demonstrate the highest achievement in abstraction through visual–verbal representation (100%) and relatively strong performance in verbal–verbal abstraction (84%), suggesting that visual scaffolding effectively supports conceptual explanation. Conversely, lower performance in graphic–verbal tasks indicates difficulties in interpreting data relationships and expressing them through systematic verbal reasoning. These results highlight the critical role of multimodal representation in facilitating conceptual construction within environmental learning contexts. This study contributes novel empirical insight into students’ verbal representation profiles within ethnoecology-based environmental education and provides pedagogical implications for designing multimodal, context-responsive learning strategies that strengthen scientific communication and environmental literacy in secondary education.
References
Afonso, S., Afonso, A., & Rodrigues, F. (2019). Towards an effective use of language to explain light in the museum. Science Education, 103(4), 923–946. https://doi.org/10.1002/sce.21517
Agustina, D. W., Rachmadiarti, F., & Kuncoro, S. (2023). Development of a flipbook on environmental pollution management based on local wisdom in Surabaya to train ethnic conservation among students. IJORER: International Journal of Recent Educational Research, 4(1), 16–30. https://doi.org/10.46245/ijorer.v4i1.268
Ainsworth, S. (1999). The function 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
Amanda, D., Feriska, J., Poluan, N. A. E., Andini, N., & Purba, V. M. (2024). The influence of students’ verbal communication skills on the quality of class presentations in the 2023 biology study programme at Medan State University. Journal of Communication Studies, 2(2), 20–27. https://doi.org/10.32734/cjcs.v2i02.16784
Armanto, E., Istiyono, E., & Fenditasari, K. (2020). Testing the graphical representation of kinematic linear motion based on local wisdom of the Boti boat: Development and validity. In Advances in Social Science, Education and Humanities Research (Vol. 541, pp. 350–357). Atlantis Press. https://doi.org/10.2991/assehr.k.210326.050
Bal, A. P. (2015). Skills of using and transforming multiple representations of prospective teachers. Procedia – Social and Behavioral Sciences, 197, 582–588. https://doi.org/10.1016/j.sbspro.2015.07.197
Brata, S. K., Sari, D. V., Muftiyah, S., Herman, T., & Hasanah, A. (2023). High school students’ verbal representation skills in completing numeracy questions in minimum competency assessments. GAUSS: Journal of Mathematics Education, 6(2), 78–94. https://doi.org/10.30656/gauss.v6i2.7863
Crowder, C., Yik, B., Frost, S., Arellano, D., & Raker, J. (2024). Impact of prompt cueing on level of explanation sophistication for organic reaction mechanisms. Journal of Chemical Education, 101(2), 398–410. https://doi.org/10.1021/acs.jchemed.3c00710
Crum, J. (2021). Understanding mental health and cognitive restructuring with ecological neuroscience. Frontiers in Psychiatry, 12, Article 697095. https://doi.org/10.3389/fpsyt.2021.697095
Dagamac, N. H. A., & Darmawan, M. D. (2021). Situation of environmental education in senior high school programs in Indonesia: Perspectives from teachers in Palembang. Interdisciplinary Journal of Environmental and Science Education, 17(3), e2241. https://doi.org/10.21601/ijese/9605
Damayanti, A. E., & Kuswanto, H. (2021). The effect of the use of indigenous knowledge-based physics comics of Android-based marbles games on verbal representation and critical thinking abilities in physics teaching. Journal of Technology and Science Education, 11(2), 581–593. https://doi.org/10.3926/jotse.1142
Diana, F., Gani, A., Syukri, M., Hamid, A. B., & Arsad, N. M. (2023). Implementation of chemo-entrepreneurship through project-based learning to determine the level of students’ soft skills and learning motivation. Journal of Science Learning, 6(4), 364–373. https://doi.org/10.17509/jsl.v6i4.57373
Dios, M., López-Iñesta, E., Diez-Ojeda, M., Manzanares, M., & Dorrío, J. (2020). Citizen science for scientific literacy and the attainment of sustainable development goals in formal education. Sustainability, 12(10), 4283. https://doi.org/10.3390/su12104283
Erman, E., Pare, B., Susiyawati, E., Martini, M., & Subekti, H. (2022). Using scaffolding set to help students addressing socio-scientific issues in biochemistry classes. International Journal of Instruction, 15(4), 871–888. https://doi.org/10.29333/iji.2022.15447a
Fatmawati, F., Zubaidah, S., Mahanal, S., & Sutopo. (2022). Students’ representation skills with different ability levels when learning using the LCMR model. Pegem Journal of Education and Instruction, 13(1), 177–192. https://doi.org/10.47750/pegegog.13.01.20
Fithrathy, A., & Ariswan. (2019). Development of physics learning multimedia to improve high school students’ graphic and verbal representation. Journal of Physics: Conference Series, 1233, 012071. https://doi.org/10.1088/1742-6596/1233/1/012071
Forey, G. (2020). A whole school approach to SFL metalanguage and the explicit teaching of language for curriculum learning. Journal of English for Academic Purposes, 44, 100822. https://doi.org/10.1016/j.jeap.2019.100822
Hamzah, R. A., et al. (2023). 21st century learning strategies. PT. Mifandi Mandiri Digital.
Hoe, A., Wiebe, J., Rotsaert, T., & Schellens, T. (2024). The implementation of peer assessment as a scaffold during computer-supported collaborative inquiry learning in secondary STEM education. International Journal of STEM Education, 11(1), Article 65. https://doi.org/10.1186/s40594-024-00465-8
Huda, U., Afriyani, D., Mardiana, M., & Fitri, W. (2021). How do students think when translating verbal representations into graphics? Edumatika: Journal of Mathematics Education Research, 4(2), 163–173. https://doi.org/10.32939/ejrpm.v4i2.1004
Ibrahim, M., & Damayanti, I. (2024). The representation of environmental issues in an EFL module for primary school: A multimodal analysis. JEELS (Journal of English Education and Linguistics Studies), 11(1), 23–50. https://doi.org/10.30762/jeels.v11i1.734
Imamyartha, D., Widiati, U., Fardhani, A., A’yunin, A., Mitasari, M., & Hapsari, G. (2024). STEAM pedagogy in foreign language education: An endeavour to broaden CLIL pedagogy through 6E’s framework. Indonesian Journal of Applied Linguistics, 13(3), 477–489. https://doi.org/10.17509/ijal.v13i3.66933
Ivaningtias, Y. E., Indana, S., & Indah, N. K. (2024). The validity of e-book-based learning on biodiversity that integrates local wisdom from Ruwat Petirtaan Jolotundo for science literacy. JPBI (Indonesian Journal of Biology Education), 10(3), 874–886. https://doi.org/10.22219/jpbi.v10i3.36690
Karyati, K., Akbari, A. F., Syafrudin, M., Karmini, K., & Widiati, K. Y. (2024). Pollutant content and micronutrients in leaves of trees and dominant understory plants in Taman Sejati Park, Samarinda City. Journal of Development Research, 7(1), 1–10. https://doi.org/10.36087/jrp.v7i1.155
Kurnaz, M. A., & Arslan, A. S. (2014). Effectiveness of multiple representations for learning energy concepts: Case of Turkey. Procedia – Social and Behavioral Sciences, 116, 627–632. https://doi.org/10.1016/j.sbspro.2014.01.269
Lestari, N., Paidi, P., & Suyanto, S. (2023). Ecopedagogy: Biology learning profile of high school in Pulau Timor. Journal of Education Culture and Society, 14(2), 494–511. https://doi.org/10.15503/jecs2023.2.494.511
Martin, P., & Graulich, N. (2023). When a machine detects student reasoning: A review of machine learning-based formative assessment of mechanistic reasoning. Chemistry Education Research and Practice, 24(2), 407–427. https://doi.org/10.1039/d2rp00287f
Mendoza, J. (2023). Assessing environmental literacy and exploring citizen science capability among grade six learners in the Philippines. Indian Journal of Science and Technology, 16(44), 4063–4072. https://doi.org/10.17485/ijst/v16i44.1159
Ng, A., & Chan, A. (2020). Participatory environmentally friendly message design: Influence of message features and user characteristics. International Journal of Environmental Research and Public Health, 17(4), 1353. https://doi.org/10.3390/ijerph17041353
Nida, S., Marsuki, M., & Eilks, I. (2021). Palm-oil-based biodiesel in Indonesia: A case study on a socioscientific issue that engages students to learn chemistry and its impact on society. Journal of Chemical Education, 98(8), 2536–2548. https://doi.org/10.1021/acs.jchemed.1c00244
Nida, S., Rahayu, S., & Eilks, I. (2020). A survey of Indonesian science teachers’ experience and perceptions toward socio-scientific issues-based science education. Education Sciences, 10(2), 39. https://doi.org/10.3390/educsci10020039
Nooijen, C., Koning, B., Bramer, W., Isahakyan, A., Asoodar, M., Kok, E., & Paas, F. (2024). A cognitive load theory approach to understanding expert scaffolding of visual problem-solving tasks: A scoping review. Educational Psychology Review, 36(1), Article 48. https://doi.org/10.1007/s10648-024-09848-3
Opfermann, M., Schmeck, A., & Fischer, H. E. (2017). Multiple representations in physics and science education – Why should we use them? In Multiple representations in physics education (pp. 1–22). Springer. https://doi.org/10.1007/978-3-319-58914-5_1
Padios, A., Pascua, S., & Orleans, A. (2023). Multimodal representations across scientific genres: Perspectives from science teachers' practices. International Journal of Education, 16(2), 85–96. https://doi.org/10.17509/ije.v16i2.55412
Palupi, B., Subiyantoro, S., & Rukayah. (2019). A portrait about writing explanatory skill of fifth-grade elementary school. International Journal for Educational and Vocational Studies, 1(7), 623–629. https://doi.org/10.29103/ijevs.v1i7.1706
Putri, A. A. N. E., Sugiyati, M. R., Muzayyadah, V., Mahardika, I. K., Ernasari, E., & Handono, S. (2023). Verbal representation of science in the Society 5.0 era in supporting technological advancement. Nautical: Multidisciplinary Scientific Journal, 2(8), 555–560. https://doi.org/10.55904/nautical.v2i8.958
Qoyyimah, U., Agustiawan, Y., Phan, T., Maisarah, M., & Fanani, A. (2022). Critical pedagogy through genre-based pedagogy for developing students' writing skills: Strategies and challenges. NOBEL: Journal of Literature and Language Teaching, 13(1), 98–116. https://doi.org/10.15642/nobel.2022.13.1.98-116
Rafidah, H. N., Rachmadiarti, F., & Prastiwi, M. S. (2024). Walking together with nature in Malang Raya: Development of e-book-based environmental change through problem-based learning (PBL). Jurnal Penelitian Pendidikan IPA, 10(7), 3556–3568. https://doi.org/10.29303/jppipa.v10i7.7377
Rahmawati, D., & Anwar, R. B. (2020). Translation of mathematical representations: Characteristics of verbal representation analysis. Journal of Education and Learning (EduLearn), 14(2), 162–167. https://doi.org/10.11591/edulearn.v14i2.9538
Rexigel, E., Bley, J., Arias, A., Qerimi, L., Küchemann, S., Kuhn, J., & Widera, A. (2024). Investigating the use of dual representations in university courses on quantum technology. EPJ Quantum Technology. https://doi.org/10.1140/epjqt/s40507-025-00327-4
Rosengrant, D., Etkina, E., & Van Heuvelen, A. (2007). Summary of current research on dual representations. In Physics Education Research Conference Proceedings (pp. 149–152).
Saputra, T. A., Effendi, A. R., & Sinensis, A. R. (2024). Development of a multi-representation test instrument on thermodynamics material to identify students’ representation abilities. Titian Ilmu: Jurnal Ilmiah Multi Sciences, 16(1), 8–16. https://doi.org/10.30599/jti.v16i1.2939
Septiani, D., Riyadi, R., & Triyanto. (2020). Students’ verbal representation abilities in solving geometry problems. Journal of Physics: Conference Series, 1594, 012046. https://doi.org/10.1088/1742-6596/1594/1/012046
Sherqobilovich, O. (2023). Development of ecological thinking of primary school students. Current Research Journal of Pedagogics, 4(6), 8–13. https://doi.org/10.37547/pedagogics-crjp-04-06-03
Syifa, S., Sudirman, S., & Purwanto, P. (2022). Students’ verbal representation skills through writing mathematics journals. Journal of Mathematics Learning Studies, 6(1), 57–66. https://doi.org/10.17977/um076v6i12022p57-66
Takaoğlu, Z. B. (2024). High school students’ multiple representation translation skills on one-dimensional motion: A cross-grade study. Journal of Science Learning, 7(1), 47–55. https://doi.org/10.17509/jsl.v7i1.61099
Tang, K. (2024). Informing research on generative artificial intelligence from a language and literacy perspective: A meta-synthesis of studies in science education. Science Education, 108(5), 1329–1355. https://doi.org/10.1002/sce.21875
Tang, K., & Rappa, N. (2020). The role of metalanguage in an explicit literacy instruction on scientific explanation. International Journal of Science and Mathematics Education, 19(7), 1311–1331. https://doi.org/10.1007/s10763-020-10121-6
Tang, K., Park, J., & Chang, J. (2021). Multimodal genre of science classroom discourse: Mutual contextualization between genre and representation construction. Research in Science Education, 52(3), 755–772. https://doi.org/10.1007/s11165-021-09999-1
Wang, T., & Lin, J. (2025). Text and reader factors in scientific text reading: A systematic review of eye-tracking studies (2012–2025). Reading Research Quarterly, 60(4), e70066. https://doi.org/10.1002/rrq.70066
Wasis, W., Widodo, W., Sunarti, T., Setyarsih, W., Jauhariyah, M. N. R., & Zainuddin, A. (2023). The relationship between multiple representational skills and understanding of physics concepts in the pre-service science teacher. Journal of Physics: Conference Series, 2623, 012031. https://doi.org/10.1088/1742-6596/2623/1/012031
Widyawati, A., Suyanta, S., Kuswanto, H., & Santoso, A. K. P. (2024). Teaching Tamanmurid (Niteni, Nirokke, Nambahi) based on EPBL-STEM: Is it possible to improve critical thinking skills and verbal representation of science? Revista de Gestão Social e Ambiental, 18(7), 1–18. https://doi.org/10.24857/rgsa.v18n7-027
Yik, B., Dood, A., Frost, S., Arellano, D., Fields, K., & Raker, J. (2023). Generalized rubric for level of explanation sophistication for nucleophiles in organic chemistry reaction mechanisms. Chemistry Education Research and Practice, 24(1), 263–282. https://doi.org/10.1039/d2rp00184e
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