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
Alkhateeb, M. (2018). Multiple Representations in 8th Grade Mathematics Textbook and the Extent to which Teachers Implement Them. International Electronic Journal of Mathematics Education, 14(1), 137–145. https://doi.org/10.12973/iejme/3982
Anwar, R. B., & Rahmawati, D. (2017). Symbolic and Verbal Representation Process of Student in Solving Mathematics Problem Based Polya’s Stages. International Education Studies, 10(10), 20. https://doi.org/10.5539/ies.v10n10p20
Castellanos, J. L. V., Castro, E., & Gutiérrez, J. (2009). Representations in problem solving: A case study with optimization problems. Electronic Journal of Research in Educational Psychology, 7(17), 279–308.
Cheng, M. M. W., & Gilbert, J. K. (2015). Students’ Visualization of Diagrams Representing the Human Circulatory System: The use of spatial isomorphism and representational conventions. International Journal of Science Education, 37(1), 136–161. https://doi.org/10.1080/09500693.2014.969359
Eilam, B., & Gilbert, J. K. (2014). The Significance of Visual Representations in the Teaching of Science. 3–28. https://doi.org/10.1007/978-3-319-06526-7_1
Ellianawati, E., Meilanie, E. P., & Subali, B. (2021). Development of Science Literacy Assessment Based on Multi Representation of Rectilinear Motion Concept to Investigate Students’ Science Literacy Competencies. JIPF (Jurnal Ilmu Pendidikan Fisika), 6(3), 263. https://doi.org/10.26737/jipf.v6i3.2229
Endra, F. (2017). Pedoman Metodologi Penelitian (Statistika Praktis). Sidoarjo: Zifatama Jawara.
Gilbert, J., & Treagust, D. (2009). Models and Modeling in Science Education. Journal of Chemical Information and Modeling, 53(9), 1689–1699.
Grove, N. P., Cooper, M. M., & Rush, K. M. (2012). Decorating with arrows: Toward the development of representational competence in organic chemistry. Journal of Chemical Education, 89(7), 844–849. https://doi.org/10.1021/ed2003934
Gultom, A. S., Retnowati, R., & Yani, I. (2022). Development of Learning Media E-Booklet Science Literacy Based Improving Students’ Critical Thinking Ability on Immune System Materials. Journal Of Biology Education Research (JBER), 3(1), 23–31. https://doi.org/10.55215/jber.v3i1.4134
İbili, E., Çat, M., Resnyansky, D., Şahin, S., & Billinghurst, M. (2020). An assessment of geometry teaching supported with augmented reality teaching materials to enhance students’ 3D geometry thinking skills. International Journal of Mathematical Education in Science and Technology, 51(2), 224–246. https://doi.org/10.1080/0020739X.2019.1583382
Kozma, R., & Russell, J. (2005). Chapter 7 Students Becoming Chemists : Developing. Review Literature And Arts Of The Americas, 121–145.
López, V., & Pintó, R. (2017). Identifying secondary-school students’ difficulties when reading visual representations displayed in physics simulations. International Journal of Science Education, 39(10), 1353–1380. https://doi.org/10.1080/09500693.2017.1332441
Mustangin, Suwarsono, S., & Lukito, A. (2020). Mathematic concept representation of high ability student in solving algebraic problem. International Journal of Scientific and Technology Research, 9(3), 4402–4406.
NCTM. (2000). Principles and Standars for school Mathematics. The National Council of Teachers of Mathematics, Inc.
Ningrum, V. F., Sumarni, W., & Cahyono, E. (2021). Development of augmented reality-based learning media on concept of hydrocarbon to improve multi-representation ability. Jurnal Penelitian Pendidikan IPA, 7(SpecialIssue), 256–265.
Papanastasiou, G., Drigas, A., Skianis, C., Lytras, M., & Papanastasiou, E. (2019). Virtual and augmented reality effects on K-12, higher and tertiary education students’ twenty-first century skills. Virtual Reality, 23(4), 425–436. https://doi.org/10.1007/s10055-018-0363-2
Rahmayani, F., Kuswanto, H., & Rahmat, A. D. (2024). Development of E-Book Integrated Augmented Reality Based on STEM Approaches to Improve Critical Thinking and Multiple Representation Skills in Learning Physics. International Journal of Information and Education Technology, 14(4), 632–641. https://doi.org/10.18178/ijiet.2024.14.4.2087
Santos, V. C., & Arroio, A. (2016). The representational levels: Influences and contributions to research in chemical education. Journal of Turkish Science Education, 13(1), 3–18. https://doi.org/10.12973/tused.10153a
Santoso, T., Ahmar, D. S., Tukaedja, S. V., & Haetami, A. (2024). The Effect of the Discovery Learning Model with a Scientific Approach on Student Representation Ability in the Buffer Solution. Jurnal Penelitian Pendidikan IPA, 10(6), 3296–3302. https://doi.org/10.29303/jppipa.v10i6.7389
Silviani, E., Mardiani, D., & Sofyan, D. (2021). Analisis Kemampuan Representasi Matematis Siswa SMP pada Materi Statistika. Mosharafa: Jurnal Pendidikan Matematika, 10(3), 483–492.
Tarigan, W. P. L., Kuswanto, H., & Tarigan, C. U. (2023). Local Potential-Integrated Augmented Reality Booklet to Facilitate Student’s Curiosity and Learning Interest. Anatolian Journal of Education, 8(2), 195–206.
Tippett, C. D. (2016). What recent research on diagrams suggests about learning with rather than learning from visual representations in science. International Journal of Science Education, 38(5), 725–746. https://doi.org/10.1080/09500693.2016.1158435
Tsani, G., & Saptono, S. (2023). Development of Android-based Interactive E-Booklet to Maximize Critical Thinking Skills and Student Learning Motivation. Journal of Environmental and Science Education, 3(2), 68–78. http://journal.unnes.ac.id/sju/index.php/jese
Tytler, R., Prain, V., & Hubber, P. (2018). Representation construction as a core science disciplinary literacy. Global Developments in Literacy Research for Science Education, 301–317. https://doi.org/10.1007/978-3-319-69197-8_18
Verma, J. P., & Abdel-Salam, A.-S. G. (2019). Testing statistical assumptions in research. John Wiley & Sons.
Widakdo, W. A. (2017). Mathematical Representation Ability by Using Project Based Learning on the Topic of Statistics. Journal of Physics: Conference Series, 895(1). https://doi.org/10.1088/1742-6596/895/1/012055
Xu, L., Prain, V., & Speldewinde, C. (2021). Challenges in designing and assessing student interdisciplinary learning of optics using a representation construction approach. International Journal of Science Education, 43(6), 844–867. https://doi.org/10.1080/09500693.2021.1889070
Zukhrufurrohmah, Z., & Putri, O. R. U. (2022). Representasi Matematis Dalam Mengkomunikasikan Ide Penyelesaian Soal Terbuka. Teorema: Teori Dan Riset Matematika, 7(1), 171. https://doi.org/10.25157/teorema.v7i1.6739