Development of Multi-Representation-Based Student Worksheet to Enhance Scientific Reasoning
Abstract
Keywords
Full Text:
PDFReferences
Abdurrahman, A., Ayu, C., 2 , S., & Jalmo, T. (2019). Implementating multiple representation-based worksheet to develop critical thinking skills. Journal of Turkish Science Education, 16(1), 138–155. https://doi.org/10.12973/tused.10271a
Aprilina, P., Mahardika, I. K., Wicaksono, I., & Kunci, K. (2023). Penggunaan model pembelajaran quantum disertai lkpd ipa berbasis multirepresentasi untuk mengukur hasil belajar peserta didik kelas viii. Jurnal Kreatif Online (JKO), 11(1). https://doi.org/10.22487/jko.v11i1.3424
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). https://doi.org/10.1103/PhysRevPhysEducRes.18.010115
Bella, S., & Azhar, A. (2023). Development of think-pair-share (tps) model based learning tools for global warming materials. Journal of Education and Learning Research, 1(1), 20–29. https://doi.org/10.62208/jelr.1.1.p.20-29
Bhaw, N., Kriek, J., & Lemmer, M. (2023). Insights from coherence in students’ scientific reasoning skills. Heliyon, 9(7). https://doi.org/10.1016/j.heliyon.2023.e17349
Chen, O., Paas, F., & Sweller, J. (2023). A cognitive load theory approach to defining and measuring task complexity through element interactivity. Educational Psychology Review, 35(65), 62-80. https://doi.org/10.1007/s10648-023-09782-w
Daryanes, F., Darmadi, D., Fikri, K., Sayuti, I., Rusandi, M. A., & Situmorang, D. D. B. (2023). The development of articulate storyline interactive learning media based on case methods to train student’s problem-solving ability. Heliyon, 9(4).
https://doi.org/10.1016/j.heliyon.2023.e15082
Dewi, C. A., Erna, M., Martini, Haris, I., & Kundera, I. N. (2021).
Effect of contextual collaborative learning based ethnoscience to increase student’s scientific literacy ability. Journal of Turkish Science Education, 18(3), 525–541. https://doi.org/10.36681/tused.2021.88
Du, W., & Chen, X. (2024). A comprehensive risk prediction method for defense mission planning based on probabilistic reasoning and hierarchical analysis. Complex Engineering Systems, 4(2). https://doi.org/10.20517/ces.2024.15
Fernández, G. E. A., Lopez-Banet, L., & Ruiz-Vidal, A. (2022). Students’ performance in the scientific skills during secondary education. EURASIA Journal of Mathematics, Science and Technology Education, 18(10), 1-18. https://doi.org/10.29333/ejmste/12444
García-Carmona, A. (2025). Scientific thinking and critical thinking in science education : Two distinct but symbiotically related intellectual processes. Science and Education, 34(1), 227–245. https://doi.org/10.1007/s11191-023-00460-5
Garodi, A., Azizah, Asriani, Zulnuraini, Pahriadi, & Awhal, A. (2025). Development of lkpd pbl assisted by articulate storyline (digestlearn) for elementary school students. International Journal of Integrative Sciences, 4(6), 1351–1368. https://doi.org/10.55927/ijis.v4i6.361
George-Reyes, C. E., Vilhunen, E., Avello-Martínez, R., & López-Caudana, E. (2024). Developing scientific entrepreneurship and complex thinking skills: creating narrative scripts using ChatGPT. Frontiers in Education, 9.
https://doi.org/10.3389/feduc.2024.1378564
HL, N. I., Nasruddin, N., Sejati, A. E., & Sugiarto, A. (2023). Developing teaching material of research methodology and learning with 4d model in facilitating learning during the covid-19 pandemic to improve critical thinking skill. Jurnal Kependidikan: Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan, Pengajaran Dan Pembelajaran, 9(2), 541. https://doi.org/10.33394/jk.v9i2.7110
Hunter, A., & Thimm, M. (2017). Probabilistic reasoning with abstract argumentation frameworks. Journal of Artificial Intelligence Research, 59, 356-611. https://doi.org/10.1613/jair.5393
Johnston. P. (2024). Choice words: How our language affects children’s learning. Routledge. https://doi.org/10.4324/9781032680835
Kazi, S., & Galanaki, E. (2020). Piagetian Theory of Cognitive Development. The Encyclopedia of Child and Adolescent Development, 1-11. https://doi.org/10.1002/9781119171492.wecad364
Ladamay, I., Kumala, F. N., Susanti, R. H., Ulfatin, N., Wiyono, B. B., & Rahayu, S. (2021). Designing and analysing electronic student worksheet based on Kvisoft Flip Book Maker for elementary school student. IOP Conference Series: Materials Science and Engineering, 1098(3), 032028. https://doi.org/10.1088/1757-
x/1098/3/032028
Lasaiba, M. A., & Lasaiba, D. (2024). Enhancing academic achievement through the application of the 5e learning cycle model. INSECTA: Integrative Science Education and Teaching Activity Journal, 5(1), 71-86. https://doi.org/10.21154/insecta.v5i1.8518
Markula, A., & Aksela, M. (2022). The key characteristics of project-based learning: how teachers implement projects in K-12 science education. Disciplinary and Interdisciplinary Science Education Research, 4(1). https://doi.org/10.1186/s43031-021-00042-x
Mawaddah, I., Haryani, S., & Kasmui, K. (2021). Pengaruh pembelajaran berbasis multirepresentasi terhadap keterampilan metakognisi peserta didik pada materi laju reaksi. Chemistry in Education, 10(1), 22–29. https://doi.org/10.15294/chemined.v10i1.40409
Nemorin, S., Vlachidis, A., Ayerakwa, H. M., & Andriotis, P. (2023). AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 48(1), 38–51. https://doi.org/10.1080/17439884.2022.2095568
Nisa’Sirait, R. N. M., & Daulay, E. (2024). Junior high school students’ perception of the using fun easy learn application in vocabulary learning. IJECA (International Journal of Education and Curriculum Application), 7(1), 27. https://doi.org/10.31764/ijeca.v7i1.22331
Park, S. A. (2023). The relationship between metacognition, learning flow, and problem-solving ability of dental hygiene students. Journal of Dental Hygiene Science, 23(4), 271–281. https://doi.org/10.17135/jdhs.2023.23.4.271
Rolfes, T., Roth, J., & Schnotz, W. (2022). Mono- and multi-representational learning of the covariational aspect of functional thinking. Journal for STEM Education Research, 5(1), 1–27. https://doi.org/10.1007/s41979-021-00060-4
Suyadi, U. M., & Purwaningsih, D. (2025). Development of multiple-repesentation-based student worksheets and their effects in senior high school students’ cognitive learning outcomes and scientific attitudes in colloid systems. Jurnal Penelitian Pendidikan IPA, 11(10), 54-63. https://doi.org/10.29303/jppipa.v11i10.12816
Syarlisjiswan, M. R., Sukarmin, & Wahyuningsih, D. (2021). The development of e-modules using Kodular software with problem-based learning models in momentum and impulse material. IOP Conference Series: Earth and Environmental Science, 1796(1). https://doi.org/10.1088/1742-6596/1796/1/012078
Tanna, P., Lathigara, A., & Bhatt, N. (2022). Implementation of problem based learning to solve real life problems. Journal of Engineering Education Transformations, 35. https://doi.org/10.16920/jeet/2022/v35i0/167898
Vo, D. V., & Csapó, B. (2023). Exploring inductive reasoning, scientific reasoning and science motivation, and their role in predicting stem achievement across grade levels. International Journal of Science and Mathematics Education, 21(8), 2375–2398.
https://doi.org/10.1007/s10763-022-10349-4
Wahyuni, V., & Wahyuni, S. (2025). Penalaran ilmiah dan hasil belajar siswa sekolah dasar dalam pembelajaran ipas menggunakan lkpd multirepresentasi. Jayapangus Press Cetta: Jurnal Ilmu Pendidikan, 8(1). https://doi.org/10.37329/cetta.v8i1.4002
Waruwu, D., Suzanti, F., & Mahadi, I. (2023). Development of inquiry-based student worksheets on ecosystem materials for the high school level. SCAFFOLDING Jurnal Pendidikan Islam dan Multikulturalisme, 5(1), 123-141. https://doi.org/10.37680/scaffolding.v5i1.2346
Wicaksono, I., Ma’rof, A. M., Mahardika, I. K., Rosida, R. F., & Erlina, N. (2024). Scientific reasoning skill and multiple representations in education research during last ten years: A review bibliometric study (2013-2022) and the contribution of indonesia. SiLeT: Studies in Learning and Teaching, 5(3). https://doi.org/10.46627/silet
Wulandari, E. D., Efwinda, S., Hakim, A., Syam, M., & Damayanti, P. (2025). Identification of scientific reasoning ability of junior high school students-noncommercial-sharealike 4.0 international license (CC BY-NC-SA 4.0). Jurnal Eduscience (JES), 12(4). https://doi.org/10.36987/jes.v12i4.6996
Yanti, H., Distrik, I. W., & Rosidin, U. (2019). The effectiveness of students’ worksheets based on multi-representation in improving students’ metacognition skills in static electricity. Journal of Physics: Conference Series, 1155(1). https://doi.org/10.1088/1742-6596/1155/1/012083
Yudha, S. F. A., Yulkifli, & Yohandri. (2019). Validity of student worksheet based on guided inquiry learning model assisted by digital practicum tool. Journal of Physics: Conference Series, 1185(1). https://doi.org/10.1088/1742-6596/1185/1/012058
Zhou, Y., Geng, X., Shen, T., Long, G., & Jiang, D. (2022). EventBERT: A Pre-Trained model for event correlation reasoning. WWW 2022 - Proceedings of the ACM Web Conference 2022, 850–859. https://doi.org/10.1145/3485447.3511928
DOI: https://doi.org/10.20527/jmscedu.v6i1.18391
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Journal Of Mathematics Science and Computer Education is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.






.jpg)
1.png)

