Research Analysis on Multi Representation in Physical Materials in The Year of 2014 to 2021
Abstract
This research has the goal of analyzing the research of multi representation capabilities in physical matter. This research is a literature study with bibliometric analysis. Secondary data collection of research using Publish or Perish (PoP) in the form of articles of the last six years (2014-2021) on Google Scholar and Scopus. The results of the analysis of 19 research articles were analyzed based on the number of studies each year, VOSViewer visualization, multi representation of measured abilities including problem-solving, understanding concepts, student activities. The highest number of publications in 2021 was 6 articles, in 2015, 2016 there was no VOSViewer Visualization obtained by three dominant clusters. There are seven articles linking multi representation capabilities to problem-solving abilities for a variety of physical materials. The application of multi representation to the understanding of concepts in some materials has been carried out in as many as seven studies. This research is expected to be the next research reference in analyzing the application of appropriate learning models to improve the multi representation ability of learners for various levels of education.
Abstract View: 385 
PDF Download: 336
Similarity Check Download: 52
Metrics
References
Abdurrahman, A., Setyaningsih, C. A., & 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
Ainsworth, S. (1999). The functions of multiple representations. Computers & Education, 33(2), 131-152.
Aisyah, O. N., & Sudarti, S. (2021). Analisis kemampuan multirepresentasi verbal dan gambar pada mahasiswa pendidikan fisika dalam memahami konsep reaksi inti matahari. Silampari Jurnal Pendidikan Ilmu Fisika, 3(1), 29-38. https://doi.org/10.31540/sjpif.v3i1.1136
Anugraheni, N. S., & Handhika, J. (2018). Profil kemampuan multirepresentasi siswa dalam materi fluida. Prosiding Seminar Nasional Quantum, 25(2018), 2477-1511.
Ayudha, C. F. H., & Setyarsih, W. (2021). Studi literatur : Analisis praktik pembelajaran fisika di smauntuk melatih keterampilan pemecahan masalah. Jurnal Pendidikan Fisika Undiksha, 11(1), 16. https://doi.org/10.23887/jjpf.v11i1.33427
Becker, S., Klein, P., Gößling, A., & Kuhn, J. (2020). Using mobile devices to enhance inquiry-based learning processes. Learning and Instruction, 69(June), 101350. https://doi.org/10.1016/j.learninstruc.2020.101350
Bollen, L., Kampen, P. V., Baily, C., Kelly, M., & Cock, M. D. (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
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(010135), 1-19. https://doi.org/10.1103/PhysRevPhysEducRes.16.010135
Dharma, N. D., & Sudarti, S. (2019). Analisis kemampuan multirepresentasi mahasiswa pada materi karakteristik gelombang elektromagnetik. Jurnal Pendidikan Sains dan Matematika, 9(2), 116-123. https://doi.org/10.23971/eds.v9i2.2483
Ekawati, R., Setiawan, A., Wulan, A. R., & Rusdiana, D. (2018). The use of classroom assessment based on multi-representation ability in mechanics concept. International Conference on Mathematics and Science Education (ICMScE 2018) IOP Conf. Series: Journal of Physics: Conf. Series, 1157(3), 1-7. https://doi.org/10.1088/1742-6596/1157/3/032061
Falkner, K., Vivian, R., & Falkner, N. J. G. (2014). Identifying computer science self-regulated learning strategies. ITICSE 2014 - Proceedings of the 2014 Innovation and Technology in Computer Science Education Conference, 291–296. https://doi.org/10.1145/2591708.2591715
Furqon, M., & Muslim, M. (2018). Investigating the ability of multiple representations and scientific consistency of high school students on newton's laws. MSCEIS 2018 Journal of Physics: Conference Series, 1280(5), 1-7. https://doi.org/10.1088/1742-6596/1280/5/052041
Harra, H. R. R., Mole, P. N., Elizabeth, A., SudarmoDua, Y., Maria, Y., Leonarda, A. (2020). Students' multirepresentation ability in completing physics evaluation problems. Jurnal Ilmu Pendidikan Fisika, 5(3), 187-192. http://dx.doi.org/10.26737/jipf.v5i3.1893
Huda, C., Siswanto, J., Kurniawan, A. F., & Nuroso, H. (2016). Development of multi-representation learning tools for the course of fundamental physics. Journal of Physics: Conference Series, 739(1), 4–8. https://doi.org/10.1088/1742-6596/739/1/012024
Intania, F., & Sudarti. (2021). Analysis of Multirepresentation Abilities (verbal and matematic) of physics students about the concept of electromagnetic wave spectrum. Thesis. Department of Physics Education, Faculty of Teacher Training and Education, Universitas Jember.
Jauhariyah, M. N. R. & Wasis, W. (2018). Students’ reasoning on physics related to visual representation (case study on college students). International Conference on Science and Technology, 1(2018), 904-908. https://doi.org/10.2991/icst-18.2018.182
Kassiavera, S., Suparmi, A., Cari, C. Sukarmin, S. (2019). Student’s understanding profile about work-energy concept based on multirepresentation skills. Prosiding International Conference on Science and Applied Science (ICSAS) 2019 AIP Conference Proceedings, 2202(1), 1-8. https://doi.org/10.1063/1.5141673
Kusumawati, I., Kahar, M. S., Khoiri, A., & Mursidi, A. (2019). Differences analysis understanding the concept of students between the three islands (Java, Kalimantan, Papua) through multiple representations approaches to the material of time dilation. Journal of Physics: Conference Series, 1153(1). https://doi.org/10.1088/1742-6596/1153/1/012145
Kusumawati, I., Marwoto, P., & Linuwih, S. (2015). Implementation multi representation and oral communication skills in department of physics education on elementary physics II. AIP Conference Proceedings, 1677. https://doi.org/10.1063/1.4930661
Mehta, P., & Schwab, D. J. (2014). An exact mapping between the variational renormalization group and deep learning. ArXiv, 1-7. https://doi.org/10.48550/arXiv.1410.3831
Montavon, G., Rupp, M., Gobre, V., Vazquez-Mayagoitia, A., Hansen, K., Tkatchenko, A., Müller, K. R., & Anatole Von Lilienfeld, O. (2013). Machine learning of molecular electronic properties in chemical compound space. New Journal of Physics, 15 (095003), 1-16. https://doi.org/10.1088/1367-2630/15/9/095003
Murniati, R., Tandililing, E., Hidayatullah, M. M. S. (2021). Analisis kemampuan multi representasi peserta didik pada materi usaha di madrasah aliyah. Jurnal Inovasi Penelitian dan Pembelajaran Fisika, 2(1), 14-20. https://doi.org/10.26418/jippf.v2i1.43883
Purba, S. W. D., & Hwang, W. Y. (2017). Investigation of learning behaviors and achievement of vocational high school students using an ubiquitous physics tablet pc app. Journal of Science Education and Technology, 26(3), 322–331. https://doi.org/10.1007/s10956-016-9681-x
Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Education and Information Technologies, 18(2), 351–380. https://doi.org/10.1007/s10639-012-9240-x
Suharsono, D. L., Wasis, W. & Zainuddin, A. (2021). The analysis of multi representation ability of students on elasticity theory and hooke laws. Jurnal Penelitian Pendidikan Fisika, 6(1), 2502-3861. https://doi.org/10.36709/jipfi.v6i1.15852
Surya, E., Sabandar, J., Kusumah, Y. S., & Darhim. (2013). Improving of junior high school visual thinking representation ability in mathematical problem solving by CTL. Journal on Mathematics Education, 4(1), 113–126. https://doi.org/10.22342/jme.4.1.568.113-126
Sutartoa, S. Indrawati, I. & Wicaksono, I. (2018). The role of picture of process (pp) on senior high school students’ collision concept learning activities and multirepresentation ability. International Conference on Science Education (ICoSEd). Journal of Physics: Conf. Series, 1006(2018), 1-17. https://doi.org/10.1088/1742-6596/1006/1/012037
Theasy, Y. (2017). Identifikasi Kesulitan Belajar Fisika Berdasarkan Kemampuan Multi Representasi. Physics Communication, 1(2), 1–5. https://doi.org/10.15294/physcomm.v1i2.10404
Theasy, Y., Wiyanto, & Sujarwata. (2018). Multi-representation ability of students on the problem solving physics. Journal of Physics: Conference Series, 983(1). https://doi.org/10.1088/1742-6596/983/1/012005
TMS, H., & Sirait, J. (2016). Representations Based Physics Instruction to Enhance Students’ Problem Solving. American Journal of Educational Research, 4(1), 1–4. https://doi.org/10.12691/education-4-1-1
Tristanti, D. D. T., & Sudarti. (2021). Analisis kemampuan multirepresentasi verbal dan tabel tentang konsep spektrum gelombang elektromagnetik pada mahasiswa fisika. Pancasakti Science Educational Journal, 6(2), 46-51. https://doi.org/10.24905/psej.v6I2.38
Van Garderen, D., Scheuermann, A., & Jackson, C. (2013). Examining how students with diverse abilities use diagrams to solve mathematics word problems. Learning Disability Quarterly, 36(3), 145–160. https://doi.org/10.1177/0731948712438558
Widianintiyas, L., Siswoyo, S., & Bakri, F. (2015). Pengaruh pendekatan multi representasindalam pembelajaran fisika terhadap kemampuan kognitif siswa sma. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 1(1), 31. https://doi.org/10.21009/1.01105
Yoan T., Wiyanto, W., & Sujarwata. (2018). Multi-representation ability of students on the problem solving physics. Journal of Physics: Conference Series, 983(2018), 1-5. https://doi.org/10.1088/1742-6596/983/1/012005
Copyright (c) 2022 IJORER : International Journal of Recent Educational Research
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Abstract viewed = 385 times
PDF downloaded = 336 times
Similarity Check downloaded = 52 times
