Optimizing 21st Century Skills Through Island-based Physics Multirepresentation Learning at Madrasah Aliyah Negeri 1 Maluku Tengah School
DOI:
10.29303/ujcs.v6i1.751Published:
2025-03-31Issue:
Vol. 6 No. 1 (2025): MarchKeywords:
21st Century Skills, Multirepresentation Learning, Concept Understanding, Sea-Island PhysicsArticles
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Abstract
In the current era of globalization, prioritizing four basic skills such as critical thinking, collaboration, communication, and creativity, is needed to prepare students to live in the future. This community service activity aims to optimize these skills through the application of ocean-island-based physics multirepresentation learning, which is relevant to the living environment of students in Central Maluku. The multirepresentation approach helps students understand abstract physics concepts through various forms of representation, such as visual, mathematical, and verbal, which encourages deeper understanding. The context of the sea-island environment, such as currents, waves, and hydrostatic pressure, is used as physics teaching material to increase the relevance and motivation of student learning, as students can see how physics concepts are integrated in their daily lives. The service method used includes observation, teacher training, and implementation of contextual learning based on sea-islands. The results showed that teachers who participated in the training were able to design and implement contextualized multirepresentation physics learning, which is relevant to the local sea-island environment. Students also responded positively and showed improvement in 4C skills through the island sea-based learning process and this learning is expected to continue to evolve and be applied in various learning contexts to advance 21st century skills among students
References
Adadan, E., Irving, K. E., & Trundle, K. C. (2009). Impacts of multi-representational instruction on high school students’ conceptual understandings of the particulate nature of matter. International Journal of Science Education, 31(13), 1743–1775. https://doi.org/10.1080/09500690802178628
Arter, J., & McTighe, J. (2001). Scoring rubrics in the classroom: Using performance criteria for assessing and improving student performance. Thousand Oaks, CA: Corwin Sage.
Ate, O. (2025). Multiple representations in physics learning research : a content analysis review of trends , opportunities , and challenges. Journal of Science Education Research , 9(1), 32–41.
Batlolona, J. R. (2024). Physics concept understanding training based on multirepresentation and inclusion for students of SMP Negeri 81 Central Maluku. Unram Journal of Community Service, 5(4), 497–503. https://doi.org/10.29303/ujcs.v5i4.766
Batlolona, J. R. (2025). Students are naive in analyzing physics concepts : An ethnophysical study of the Tanimbar Islands community , Indonesia. Momentum: Physics Education Journal, 9(1), 120–131. https://doi.org/10.21067/mpej.v9i1.11042
Batlolona, J. R., & Jamaludin, J. (2022). Physics problem solving skills with IBL-STEMWeb: students on small islands in Maluku. Jurnal Penelitian Pendidikan IPA, 8(2), 592–598. https://doi.org/10.29303/jppipa.v8i2.1344
Berek, F. X., Sutopo, S., & Munzil, M. (2016). Concept enhancement of junior high school students in hydrostatic pressure and archimedes law by predict-observe-explain strategy. Jurnal Pendidikan IPA Indonesia, 5(2), 230–238. https://doi.org/10.15294/jpii.v5i2.6038
Bollen, L., Van Kampen, P., Baily, C., Kelly, M., & De Cock, M. (2017). Student difficulties regarding symbolic and graphical representations of vector fields. Physical Review Physics Education Research, 13(2), 1–17. https://doi.org/10.1103/PhysRevPhysEducRes.13.020109
Gilbert, J. K., & Treagust, D. F. (2009). Introduction: Macro, Submicro and Symbolic Representations and the Relationship Between Them: Key Models in Chemical Education. 1–8. https://doi.org/10.1007/978-1-4020-8872-8_1
Hahn, L., & Klein, P. (2023). Implementation of simulations and sketching activities into lecture-based recitations in undergraduate physics. Frontiers in Psychology, 13, 1–8.
Häkkinen, P., Järvelä, S., Mäkitalo-Siegl, K., Ahonen, A., Näykki, P., & Valtonen, T. (2017). Preparing teacher-students for twenty-first-century learning practices (PREP 21): a framework for enhancing collaborative problem-solving and strategic learning skills. Teachers and Teaching: Theory and Practice, 23(1), 25–41. https://doi.org/10.1080/13540602.2016.1203772
Jamaludin, J., & Batlolona, J. R. (2021). Analysis of students’ conceptual understanding of physics on the topic of static fluids. Jurnal Penelitian Pendidikan IPA, 7, 6–13. https://doi.org/10.29303/jppipa.v7ispecialissue.845
Kain, C., Koschmieder, C., Matischek-Jauk, M., & Bergner, S. (2024). Mapping the landscape: A scoping review of 21st century skills literature in secondary education. Teaching and Teacher Education, 151, 1–27. https://doi.org/10.1016/j.tate.2024.104739
Kapanadze, M., Javakhishvili, N., & Dzagania, L. (2023). Investigating the relationship between students’ interest in physics and environmental attitudes in Georgia. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), 1–9. https://doi.org/10.29333/ejmste/13429
Kohl, P. B., & Finkelstein, N. D. (2008). Patterns of multipe representation use by experts and novices during physics problem solving. Physical Review Special Topics - Physics Education Research, 4(1), 1–13. https://doi.org/10.1103/PhysRevSTPER.4.010111
Koo, M., & Yang, S. (2025). Likert-Type Scale. Encyclopedia, 5(18), 1–11.
Leasa, M., Batlolona, J. R., & Talakua, M. (2021). Elementary students ’ creative thinking skills in science in the Maluku Islands , Indonesia. Creativity Studies, 14(1), 74–89.
Leasa, M., Corebima, A. D., & Batlolona, J. R. (2020). The effect of learning styles on the critical thinking skills in natural science learning of elementary school students. Elementary Education Online, 19(4), 2086–2097. https://doi.org/10.17051/ilkonline.2020.763449
Lichtenberger, A., Kokkonen, T., & Schalk, L. (2024). Learning with multiple external representations in physics: Concreteness fading versus simultaneous presentation. Journal of Research in Science Teaching, July 2023, 2258–2290. https://doi.org/10.1002/tea.21947
Mason, R. A., & Just, M. A. (2015). Physics instruction induces changes in neural knowledge representation during successive stages of learning. NeuroImage, 111, 36–48. https://doi.org/10.1016/j.neuroimage.2014.12.086
Munfaridah, N., Avraamidou, L., & Goedhart, M. (2021). The use of multiple representations in undergraduate physics education: what do we know and where do we go from here?. Eurasia Journal of Mathematics, Science and Technology Education, 17(1), 1–19. https://doi.org/10.29333/ejmste/9577
Osiesi, M. P., & Blignaut, S. (2025). Impact of the teacher education curriculum on the development of 21st-Century skills: Pre-service teachers’ perceptions. Social Sciences and Humanities Open, 11, 1–8. https://doi.org/10.1016/j.ssaho.2025.101317
Prins, G. T., Bulte, A. M. W., & Pilot, A. (2018). Designing context-based teaching materials by transforming authentic scientific modelling practices in chemistry. International Journal of Science Education, 40(10), 1108–1135. https://doi.org/10.1080/09500693.2018.1470347
Vlachopoulos, D., & Makri, A. (2024). A systematic literature review on authentic assessment in higher education: Best practices for the development of 21st century skills, and policy considerations. Studies in Educational Evaluation, 83, 1–13. https://doi.org/10.1016/j.stueduc.2024.101425
Wan Mohd Nasir, W. M. F., Halim, L., & Arsad, N. M. (2022). Strategies in promoting creative thinking skills in science classroom: A systematic review. Cypriot Journal of Educational Sciences, 17(12), 4839–4855. https://doi.org/10.18844/cjes.v17i12.7605
Wattimena, H. S., & Batlolona, J. R. (2024). A stone can bounce on the surface of water : a conceptual physics analysis study of students. Journal of Science and Science Education, 5(2), 80–87. https://doi.org/10.29303/jossed.v5i1.9564
Yurt, E. (2023). 21st-century skills as predictors of pre-service teachers’ professional qualifications: a cross-sectional study. International Journal of Education in Mathematics, Science and Technology, 11(5), 1328–1345. https://doi.org/10.46328/ijemst.3291
Author Biographies
Jamaludin, Universitas Pattimura
Altje Latununuwe, Pattimura University
Gazali Rachman, Pattimura University
Ashari Bayu P. Dulhasyim, Pattimura University
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Copyright (c) 2025 Jamaludin, Altje Latununuwe, Gazali Rachman, Ashari Bayu P. Dulhasyim

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