Development of Augmented Reality Media Based on Assembler Edu on Molecular Geometry
Abstract
This study aimed to develop and evaluate the effectiveness of Augmented Reality (AR)-based learning media using Assembler Edu to enhance the understanding of molecular geometry concepts at the Senior High School (SMA) level. The research employed a Research and Development (R&D) approach, incorporating both the Spiral and Waterfall development models. These models consisted of four main stages: setting objectives, identifying and mitigating risks, designing, and developing. Data were collected through expert validation, student trials, and user satisfaction questionnaires. Five validators assessed the media, and its validity was analyzed using Aiken’s V formula, while reliability was measured through inter-rater agreement. The results showed that all Aiken’s V values were above 0.8, indicating strong agreement among experts and confirming the validity across all categories. The inter-rater agreement values exceeded 75% (kappa > 0.70), demonstrating a high level of consistency among validators. Trials were conducted with 60 students from two schools: MAN 1 Prafi Manokwari and SMA 3 Kendari. The findings indicated a low difficulty level and reflected positive student responses toward the use of AR media for learning molecular structures. In conclusion, this study demonstrated that AR-based learning media offers an innovative and effective solution for enhancing chemistry education.
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Abdinejad, M., Talaie, B., Qorbani, H. S., & Dalili, S. (2021). Student perceptions using augmented reality and 3D visualization technologies in chemistry education. Journal of Science Education and Technology, 30(1), 87–96. https://doi.org/10.1007/s10956-020-09880-2
Aiken, L. R. (1980). Content validity and reliability of single items or questionnaires. Educational and Psychological Measurement, 40(4), 955–959. https://doi.org/10.1177/001316448004000419
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131–142. https://doi.org/10.1177/0013164485451012
Alharbi, A. A. (2025). Cognitive learning approach to enhance university students’ visualization of molecular geometry in chemical compounds: A case study in Saudi Arabia. Journal of Radiation Research and Applied Sciences, 18(1), 101283. https://doi.org/10.1016/j.jrras.2024.101283
Cao, W., & Yu, Z. (2023). The impact of augmented reality on student attitudes, motivation, and learning achievements—a meta-analysis (2016–2023). Humanities and Social Sciences Communications, 10(1), 1–12. https://doi.org/10.1057/s41599-023-01852-2
Cavanagh, T. M., & Kiersch, C. (2023). Using commonly-available technologies to create online multimedia lessons through the application of the Cognitive Theory of Multimedia Learning. Educational Technology Research and Development, 71(3), 1033–1053. https://doi.org/10.1007/s11423-022-10181-1
Čep, A., Bernik, A., & Radošević, D. (2023). Comparative Analysis of Augmented Reality Software Development Kits for the Development of Educational Applications Within Unity Game Engine. In K. Arai (Ed.), ntelligent Computing (pp. 977–995). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-37963-5_68
Chow, R., Bruera, E., Temel, J. S., Krishnan, M., Im, J., & Lock, M. (2020). Inter-rater reliability in performance status assessment among healthcare professionals: an updated systematic review and meta-analysis. Supportive Care in Cancer, 28(5), 2071–2078. https://doi.org/10.1007/s00520-019-05261-7
Edwards, A. J., Mackenzie, C. F., Spackman, P. R., Jayatilaka, D., & Spackman, M. A. (2017). Intermolecular interactions in molecular crystals: What’s in a name? Faraday Discussions, 203, 93–112. https://doi.org/10.1039/c7fd00072c
Elford, D., Lancaster, S. J., & Jones, G. A. (2022). Exploring the effect of augmented reality on cognitive load, attitude, spatial ability, and stereochemical perception. Journal of Science Education and Technology, 31(3), 322–339. https://doi.org/10.1007/s10956-022-09957-0
Guzmán, J. M., & Grajo, L. C. (2023). Preliminary rasch construct and reliability validation of telewrite: A Telehealth-based handwriting assessment. Occupational Therapy Journal of Research, 90(1), 55–69. https://doi.org/10.1177/15394492231151883
Härmälä-Braskén, A. S., Hemmi, K., & Kurtén, B. (2020). Misconceptions in chemistry among Finnish prospective primary school teachers–a long-term study. International Journal of Science Education, 42(9), 1447–1464. https://doi.org/10.1080/09500693.2020.1765046
Istiyono, E. (2018). Pengembangan instrumen penilaian dan analisis hasil belajar fisika (Pertama). UNY Press.
Li, S., Jiao, X., Cai, S., & Shen, Y. (2024). Enhancing AR-based learning environments for STEM education: A design-based study on design features, kinematics learning and mathematics self-efficacy. British Journal of Educational Technology, 55(1), 1–25. https://doi.org/10.1111/bjet.13528
Luca, V. De, Gatto, C., Liaci, S., Corchia, L., Chiarello, S., Faggiano, F., Sumerano, G., & De Paolis, L. T. (2023). Virtual reality and spatial augmented reality for social inclusion: The “Includiamoci” project. Information, 14(1). https://doi.org/10.3390/info14010038
Martin, F., & Betrus, A. K. K. (2019). Digital media for learning: Theories, processes, and solutions. In Digital Media for Learning: Theories, Processes, and Solutions. Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-33120-7
Mayer, R. E. (2024). The Past, Present, and Future of the Cognitive Theory of Multimedia Learning. Educational Psychology Review, 36(1), 8. https://doi.org/10.1007/s10648-023-09842-1
Mura, D., & Dini, G. (2021). Augmented Reality in Assembly Systems: State of the Art and Future Perspectives. In S. Ratchev (Ed.), Smart Technologies for Precision Assembly (pp. 3–22). Springer International Publishing. https://doi.org/10.1007/978-3-030-72632-4_1
OShaughnessy, D. (2019). Visualization of Molecular Structures Using Augmented Reality. In R. M. Branch, H. Lee, & S. S. Tseng (Eds.), Educational Media and Technology Yearbook (pp. 105–120). Springer International Publishing. https://doi.org/10.1007/978-3-030-27986-8_10
Rahmawati, Y., Dianhar, H., & Arifin, F. (2021). Analysing students’ spatial abilities in chemistry learning using 3D virtual representation. Education Sciences, 11(4), 185. https://doi.org/10.3390/educsci11040185
Salsabila, P., Putra, T. P., Nasir, M., Abe, Y., & Linda, R. (2024). Development of science e-module based on augmented reality using assembler edu on the material of substances and their changes. Jurnal IPA Dan Pembelajaran IPA, 8(4), 473–484. https://doi.org/10.24815/jipi.v8i4.42369
Suparman, A. R. (2024). Has the teacher taught chemical literacy ? A phenomenological qualitative research. Tarbawi: Jurnal Ilmu Pendidikan, 20(2), 192–207. https://doi.org/10.32939/tarbawi.v20i2.4417
Suparman, A. R., Rohaeti, E., & Wening, S. (2023). Effect of computer based test on motivation: A meta-analysis. European Journal of Educational Research, 12(4), 1583–1599. https://doi.org/10.12973/eu-jer.12.4.1583
Suparman, A. R., Rohaeti, E., & Wening, S. (2024a). Development of computer-based chemical five-tier diagnostic test instruments: A generalized partial credit model. Journal on Efficiency and Responsibility in Education and Science, 17(1), 91–105. https://doi.org/10.7160/eriesj.2024.170108
Suparman, A. R., Rohaeti, E., & Wening, S. (2024b). Student misconception in chemistry: A systematic literature review. Pegem Journal of Education and Instruction, 14(2), 238–252. https://doi.org/10.47750/pegegog.14.02.28
Szalewicz, K., & Jeziorski, B. (2022). Physical mechanisms of intermolecular interactions from symmetry-adapted perturbation theory. Journal of Molecular Modeling, 28(9), 273. https://doi.org/10.1007/s00894-022-05190-z
Voinea, G.-D., Girbacia, F., Postelnicu, C. C., & Marto, A. (2019). Exploring Cultural Heritage Using Augmented Reality Through Google’s Project Tango and ARCore. In M. Duguleană, M. Carrozzino, M. Gams, & I. Tanea (Eds.), VR Technologies in Cultural Heritage (pp. 93–106). Springer International Publishing. https://doi.org/10.1007/978-3-030-05819-7_8
Wang, Y. (2022). Effects of augmented reality game-based learning on students’ engagement. International Journal of Science Education Part B, 12(3), 254–270. https://doi.org/10.1080/21548455.2022.2072015
Xiong, J., Hsiang, E.-L., He, Z., Zhan, T., & Wu, S.-T. (2021). Augmented reality and virtual reality displays: Emerging technologies and future perspectives. Light: Science & Applications, 10(1), 216. https://doi.org/10.1038/s41377-021-00658-8
Yunita, L., Nurjayadi, M., & Hariwibowo, H. (2021). Application of rasch model on basic chemistry tests computer-based hots 0categories. Review of International Geographical Education Online, 11(5), 2534–2544. https://doi.org/10.48047/rigeo.11.05.151
DOI: http://dx.doi.org/10.20527/quantum.v16i1.22025
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