Contextual interactive animated video media development to promote environmentally relevant chemical equilibrium learning and improve students’ motivation

Authors

  • Galuh Clarisa Universitas Negeri Surabaya, Indonesia
    ID Indonesia
  • Rusly Hidayah Universitas Negeri Surabaya, Indonesia
    ID Indonesia

DOI:

https://doi.org/10.62672/joease.v4i2.234

Keywords:

Chemical equilibrium, Environmental context, Interactive animated video, Learning motivation, learning outcomes

Abstract

The study was conducted to generate and validate an animated video that will impact students' understanding of chemical equilibrium and its context. They hoped not only that students would grasp the concepts but also that they would show some interest in the material. The researchers designed the research and evaluated the video using the ADDIE model. They selected thirty-four students from the grade and then followed this up with some questions to answer before and after watching the video. The video is not just valid; it is quite good at explaining chemical equilibrium to students. They scored the video 4.57, which means it is valid and has good content. The video was practical when the students viewed it; sixty-two-point nine seven percent of students reported the video as easy to use, and ninety-point eight eight percent considered it very helpful. The video works well because students are interacting with pictures of the environment for information about chemical equilibrium. This encourages students to relate what they are learning to the real world. By researching chemistry concepts, the findings of this research further inform more general strategies to inform students about principles to follow in other areas. Chemical equilibrium is one of the subjects it teaches, but this video uses environmental examples for easy understanding. Students are educated on chemical equilibrium and how important it is, tied to the environment around them.

References

Ankareddy, S., Dorfleitner, G., Zhang, L., & Ok, Y. S. (2025). Embedding sustainability in higher education institutions: A review of practices and challenges. Cleaner Environmental Systems, 17, 100279. https://doi.org/10.1016/j.cesys.2025.100279

Ba, S., Shi, X., Wu, S., & Lu, G. (2026). Artificial intelligence agents in computer-supported collaborative learning: A systematic literature review. Computers and Education: Artificial Intelligence, 10, 100579. https://doi.org/10.1016/j.caeai.2026.100579

Bataeineh, M., & Aga, O. (2022). Integrating sustainability into higher education curricula: Saudi Vision 2030. Emerald Open Research, 4, 19. https://doi.org/10.35241/emeraldopenres.14499.1

Brkić, L., Mekterović, I., Fertalj, M., & Mekterović, D. (2024). Peer assessment methodology of open-ended assignments. Computers & Education, 213, 105001. https://doi.org/10.1016/j.compedu.2024.105001

Chen, C., Jamiat, N., & Mao, Y. (2023). Effects of gamified interactive e-books on students’ learning achievements and motivation. Frontiers in Psychology, 14, 1236297. https://doi.org/10.3389/fpsyg.2023.1236297

Deaningtyas, S. A., Purwandari, A., Sentanu, N. A. Z., Rafsanjani, E. R., Kamaliyah, N. L., & Setiawan, N. C. E. (2024). Development of CHEMISTER as chemistry education media with socioscientific issues integrated with augmented reality. Jurnal Pembelajaran Kimia, 9(2), 106–115. https://doi.org/10.17977/um026v9i22024p106-115

Demir, S. (2022). Comparison of normality tests under different skewness and kurtosis conditions. International Journal of Assessment Tools in Education, 9(2), 397–409. https://doi.org/10.21449/ijate.1101295

Errabo, D. D., & Ongoco, A. A. (2024). Effects of interactive mobile learning modules on students’ engagement and understanding. Journal of Research in Innovative Teaching & Learning, 17(2), 327–351. https://doi.org/10.1108/JRIT-01-2024-0023

Estrada, L. S. M., Haase, M., Baumann, M., & Cinelli, M. (2026). Decision support for energy system transformation. Energy Strategy Reviews, 63, 102016. https://doi.org/10.1016/j.esr.2025.102016

Fan, M.-R., Tran, N.-H., Nguyen, L.-H.-P., & Huang, C.-F. (2024). Effects of outdoor education on students’ learning motivation. European Journal of Educational Research, 13(3), 1353–1363. https://doi.org/10.12973/eu-jer.13.3.1353

Fernández, A. A., López-Torres, M., Fernández, J. J., & Vázquez-García, D. (2023). Student-generated videos to promote understanding of chemical reactions. Journal of Chemical Education, 100(3), 1039–1046. https://doi.org/10.1021/acs.jchemed.2c00813

García-Hernández, A., García-Valcárcel, A., Casillas-Martín, S., & Cabezas-González, M. (2022). Sustainability in digital education: A systematic review. Education Sciences, 13(1), 33. https://doi.org/10.3390/educsci13010033

García-Hernández, A., García-Valcárcel, A., Casillas-Martín, S., & Cabezas-González, M. (2025). Mathematical creativity: A systematic review. Education Sciences, 15(10), 1348. https://doi.org/10.3390/educsci15101348

Granström, M., & Oppi, P. (2025). Student engagement with AI tools in learning. Frontiers in Education, 10, 1688092. https://doi.org/10.3389/feduc.2025.1688092

Gorito, G., & Morais, C. (2025). Environmental awareness through chemistry education. Education Sciences, 16(1), 38. https://doi.org/10.3390/educsci16010038

Hake, R. R. (1998). Interactive engagement versus traditional methods. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809

Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education. Sustainable Operations and Computers, 3, 275–285. https://doi.org/10.1016/j.susoc.2022.05.004

Hastuti, D. (2021). 21st century skills in primary school learning. SHES Conference Series, 4(5), 111–119. https://doi.org/10.20961/shes.v4i5.66138

Hasanah, D., Wiji, Mulyani, S., & Widhiyanti, T. (2024). Multiple representations in chemistry learning. KnE Social Sciences, 248–257. https://doi.org/10.18502/kss.v9i8.15554

Herunata, H., & Puteri, E. A. A. (2024). Representation learning cycle model in chemical equilibrium. Jurnal Pembelajaran Kimia, 9(2), 82–96. https://doi.org/10.17977/um026v9i22024p82-96

Hidayah, R., Iswahyuni, N., & Mitasari, R. (2021). Computer-based games as learning media. Jurnal Pembelajaran Kimia, 6(2), 100–110. https://doi.org/10.17977/um026v6i22021p100

Jordan, S., Wang, G., Nguyen, A. T. H., et al. (2026). Co-teaching model in chemistry education. Journal of Chemical Education, 103(3), 1411–1420. https://doi.org/10.1021/acs.jchemed.5c01436

Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10, 2–10. https://doi.org/10.1007/BF02905780

Kitsantas, A., et al. (2025). Self-regulated learning theory. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10052-0

Langitasari, I., et al. (2024). Enhancing students’ conceptual understanding in chemistry. KnE Social Sciences, 191–200. https://doi.org/10.18502/kss.v9i13.15919

Lutfi, A., Hidayah, R., Aftinia, F., & Ipmawati, N. (2023). Chemistry learning media development. Educación Química, 34, 176–187. https://doi.org/10.22201/fq.18708404e.2023.1.82798

Mediana, N. L., Funa, A. A., & Dio, R. V. (2025). Inquiry-based learning effectiveness. International Journal of Education in Mathematics, Science and Technology, 13(2), 532–552. https://doi.org/10.46328/ijemst.4769

Nieveen, N. (1999). Prototype to reach product quality. In J. van den Akker et al. (Eds.), Design approaches and tools in education. Kluwer Academic. https://doi.org/10.1007/978-94-011-4255-7_10

Palacios-Rodríguez, A., Llorente-Cejudo, C., & Cabero-Almenara, J. (2023). Educational digital transformation. Frontiers in Education, 8, 1267939. https://doi.org/10.3389/feduc.2023.1267939

Parmini, N. P., et al. (2023). 21st century skills and information literacy. Jurnal MI, 28(1), 11–20. https://doi.org/10.23887/mi.v28i1.59441

Rahmawati, Y., et al. (2022). Students’ conceptual understanding using PhET simulations. Journal of Technology and Science Education, 12(2), 303–326. https://doi.org/10.3926/jotse.1597

Sánchez-García, E., et al. (2024). Environmental management and sustainability. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2024.123739

Sipahi, S., & Bahar, M. (2025). Visualization-based learning in science education. Education Sciences. https://doi.org/10.3390/educsci15010001

Sunday, E. S., et al. (2026). Green chemistry education and environmental awareness. Discover Education, 5, 44. https://doi.org/10.1007/s44217-025-01056-7

Suparman, R. A., Rohaeti, E., & Wening, S. (2024). Student misconception in chemistry. Pegem Journal of Education and Instruction, 14(2), 238–252. https://doi.org/10.47750/pegegog.14.02.28

Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd

Trevisan, L. V., Leal Filho, W., & Pedrozo, E. Á. (2024). Transformative learning for sustainability. Journal of Cleaner Production, 447, 141634. https://doi.org/10.1016/j.jclepro.2024.141634

Yuensook, T., Jantakoon, T., & Limpinan, P. (2026). AI-driven adaptive learning systems. Journal of Education and Learning, 15(2). https://doi.org/10.5539/jel.v15n2p117

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Published

14-05-2026

How to Cite

Clarisa, G., & Hidayah, R. (2026). Contextual interactive animated video media development to promote environmentally relevant chemical equilibrium learning and improve students’ motivation. Journal of Environment and Sustainability Education, 4(2), 333–342. https://doi.org/10.62672/joease.v4i2.234

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