E-MODULES BASED ON MULTI-REPRESENTATIONS ON NEWTON'S LAW MATERIALS

Chieka Mariskha, Ika Mustika Sari, Irianto Tedja, Hera Novia

Abstract


With the use of ICT, the use of e-modules as a learning resource has become an innovation. E-modules are independent study materials in electronic format by utilizing various media and interactive features as well as learners' learning experiences. This e-module characteristic supports the presentation of physics teaching materials in the form of multiple representations. However, the availability and use of multiple representation-based e-modules is still limited, given the importance of learning resources and multiple representations so this research conducts a multi-representation based e-module preparation on Newton's Law material. The research method used is R&D with an adaptation development model of the 4D development model which is carried out through the Define, Design, and Develop stages. The e-module product that has been compiled is validated by four experts and 15 students as initial users. The results of the validation analysis show that the qualified e-modules are qualified properly in the aspects of content, media and multiple representation. In the developmental testing, a positive response was obtained and the results showed that the readability of the e-module was "high" with a reading of 88.65%, meaning that the e-module could be used independently. Based on the results of this study, an e-module based on multiple representation on Newton's Law material was produced with good reviews from experts and students.

Keywords


E-module , Multiple Representation, Newton Law’s

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References


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

Bao, L., & Koenig, K. (2019). Physics education research for 21 st century learning. Disciplinary and Interdisciplinary Science Education Research, 1(1), 1–12. https://doi.org/10.1186/s43031-019-0007-8

Benedetič, N. (2018). David F. Treagust, Reinders Duit and Hans E. Fischer (Eds), Multiple Representations in Physics Education, Models and Modelling in Science Education (Volume 10), Cham: Springer.

Burkholder, E. W., Miles, J. K., Layden, T. J., Wang, K. D., Fritz, A. V, & Wieman, C. E. (2020). Template for teaching and assessment of problem solving in introductory physics. Physical Review Physics Education Research, 16(1), 10123. https://doi.org/10.1103/PhysRevPhysEducRes.16.010123

Campos, E., Zavala, G., Zuza, K., & Guisasola, J. (2020). Students’ understanding of the concept of the electric field through conversions of multiple representations. Physical Review Physics Education Research, 16(1), 10135. https://doi.org/10.1103/PhysRevPhysEducRes.16.010135

Chen, H., Yin, C., Li, R., Rong, W., Xiong, Z., & David, B. (2019). Enhanced learning resource recommendation based on online learning style model. Tsinghua Science and Technology, 25(3), 348–356. https://doi.org/10.26599/TST.2019.9010014

Chusni, M M, Suranto, S., Rahardjo, S. B., & Saputro, S. (2020). Profile of multi-modal representation ability of junior high school students on science material in Sleman district. Journal of Physics: Conference Series, 1511(1), 12107. https://doi.org/10.1088/1742-6596/1511/1/012107

Chusni, Muhammad Minan, Saputro, S., & Rahardjo, S. B. (2022). Enhancing Critical Thinking Skills of Junior High School Students through Discovery-Based Multiple Representations Learning Model. International Journal of Instruction, 15(1). https://doi.org/10.29333/iji.2022.15153a

Cukurova, M., Bennett, J., & Abrahams, I. (2018). Students’ knowledge acquisition and ability to apply knowledge into different science contexts in two different independent learning settings. ReseaRch in Science & Technological EducaTion, 36(1), 17–34. https://doi.org/10.1080/02635143.2017.1336709

Dewi, P. Y. A., & Primayana, K. H. (2019). Effect of learning module with setting contextual teaching and learning to increase the understanding of concepts. International Journal of Education and Learning, 1(1), 19–26.

Doody, S., & Artemeva, N. (2022). “Everything Is in the Lab Book”: Multimodal Writing, Activity, and Genre Analysis of Symbolic Mediation in Medical Physics. Written Communication, 39(1), 07410883211051634. https://doi.org/10.1177%2F07410883211051634

Farheen, A., & Lewis, S. E. (2021). The impact of representations of chemical bonding on students’ predictions of chemical properties. Chemistry Education Research and Practice, 22(4), 1035–1053. https://doi.org/10.1039/D1RP00070E

Gebre, E. (2018). Learning with multiple representations: Infographics as cognitive tools for authentic learning in science literacy. Canadian Journal of Learning and Technology, 44(1), 1–24. https://doi.org/10.21432/cjlt27572

Holmes, K., & Prieto-Rodriguez, E. (2018). Student and staff perceptions of a learning management system for blended learning in teacher education. Australian Journal of Teacher Education (Online), 43(3), 21–34. https://search.informit.org/doi/abs/10.3316/informit.477648976239419

Jhangiani, R. S., Dastur, F. N., Le Grand, R., & Penner, K. (2018). As Good or Better than Commercial Textbooks: Students’ Perceptions and Outcomes from Using Open Digital and Open Print Textbooks. Canadian Journal for the Scholarship of Teaching and Learning, 9(1), 1–20.

Lau, K. H., Lam, T., Kam, B. H., Nkhoma, M., Richardson, J., & Thomas, S. (2018). The role of textbook learning resources in e-learning: A taxonomic study. Computers & Education, 118, 10–24. https://doi.org/10.1016/j.compedu.2017.11.005

Maknun, J. (2020). Implementation of Guided Inquiry Learning Model to Improve Understanding Physics Concepts and Critical Thinking Skill of Vocational High School Students. International Education Studies, 13(6), 117. https://doi.org/10.5539/ies.v13n6p117

Mardatila, A., Novia, H., & Sinaga, P. (2019). Penerapan pembelajaran fisika menggunakan multi representasi untuk meningkatkan kemampuan kognitif dan pemecahan masalah siswa SMA pada pokok bahasan gerak parabola. Omega: Jurnal Fisika Dan Pendidikan Fisika, 5(2), 33-39. https://doi.org/10.31758/OmegaJPhysPhysEduc.v5i2.33

Montáns, F. J., Chinesta, F., Gómez-Bombarelli, R., & Kutz, J. N. (2019). Data-driven modeling and learning in science and engineering. Comptes Rendus Mécanique, 347(11), 845–855. https://doi.org/10.1016/j.crme.2019.11.009

Muliyati, D., Marizka, H., & Bakri, F. (2019). E-learning using wordpress on physics materials with the 5E learning cycle strategy. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 5(2), 101–112. https:// doi.org/10.21009/1.05205

Mushlihah, K., Yetri, Y., & Yuberti, Y. (2018). Pengembangan media pembelajaran berbasis multi representasi bermuatan sains keislaman dengan output instagram pada materi hukum Newton. Indonesian Journal of Science and Mathematics Education, 1(3), 207–215. https://doi.org/10.24042/ijsme.v1i3.3595

Piyatissa, M. L. S., Johar, M. G. M., & Tarofder, A. K. (2018). Multiple Representations in Dispelling Some Common Misunderstandings and Increasing the Clarity of Principles of Physics Taught at Secondary School Level. Asian Journal of Contemporary Education, 2(2), 122–135. https://doi.org/10.18488/journal.137.2018.22.122.135

Puspitasari, A. D. (2019). Penerapan Media Pembelajaran Fisika Menggunakan Modul Cetak dan Modul Elektronik pada Siswa SMA. JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar, 7(1), 17–25. https://doi.org/10.24252/jpf.v7i1.7155

Stathopoulou, A., Siamagka, N.-T., & Christodoulides, G. (2019). A multi-stakeholder view of social media as a supporting tool in higher education: An educator–student perspective. European Management Journal, 37(4), 421–431. https://doi.org/10.1016/j.emj.2019.01.008

Sukma, T. A., Mundilarto, M., & Putri, N. D. (2019). Local wisdom-based electronic book on newton’s law. Jurnal Ilmiah Pendidikan Fisika Al-Biruni, 8(2), 197–206. https://doi.org/10.24042/jipfalbiruni.v0i0.4368

Van Meter, P., List, A., Kendeou, P., & Lombardi, D. (2020). The multiple resources learning framework: Learning from multiple representations and multiple perspectives. In Handbook of Learning from Multiple Representations and Perspectives (pp. 557–588). Routledge.

Wan, S., & Niu, Z. (2018). An e-learning recommendation approach based on the self-organization of learning resource. Knowledge-Based Systems, 160, 71–87. https://doi.org/10.1016/j.knosys.2018.06.014

Wardani, D. L., Degeng, I. N. S., & Cholid, A. (2019). Developing interactive multimedia model 4D for teaching natural science subject. International Journal of Education and Research, 7(1), 63–72




DOI: https://doi.org/10.15575/jotalp.v7i1.10999

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