Development of a Digital Technology-Based Biology Learning Model to Enhance Conceptual Understanding

Authors

  • Ayu Wibowo Universitas Negeri Malang Author
  • Reza Lestari Universitas Negeri Malang Author
  • Nurul Putri Universitas Negeri Jakarta Author

Keywords:

Digital technology-based learning, Biology learning, Conceptual understanding, Instructional model, Digital visualization

Abstract

This qualitative study aims to develop a digital technology-based biology learning model to enhance students’ conceptual understanding of abstract and complex biological concepts. The study responds to the problem that biology learning often still relies on verbal explanation, textbook images, and memorization, while many biological processes require visual, interactive, and contextual representation. This research used an instrumental case study design conducted in a senior high school that had implemented digital technology in biology learning. Data were collected through semi-structured interviews, limited participatory observation, documentation, and researcher reflective notes. The participants included biology teachers, eleventh-grade students, a vice principal for curriculum affairs, and learning or digital media experts selected through purposive sampling. The data were analyzed using reflexive thematic analysis. The findings revealed four main themes: digital visualization helped students understand abstract concepts, student engagement increased when technology was integrated with inquiry-based activities, teacher facilitation determined the quality of conceptual understanding, and digital learning faced constraints related to access, readiness, and classroom management. Based on these findings, the study developed a five-stage model consisting of orientation, visualization, exploration, conceptual construction, and reflection. This study contributes to the understanding of digital biology learning by showing that technology becomes meaningful when it supports active concept construction, teacher scaffolding, and reflective learning. The findings imply that schools need to support digital learning through infrastructure, teacher training, and pedagogically grounded technology integration. Further studies can test this model in broader contexts and specific biology topics.

References

Afnan, M. Z., & Puspitawati, R. P. (2024). Exploration of biological concept understanding through augmented reality: A constructivism theory approach. JPBI (Jurnal Pendidikan Biologi Indonesia), 10(3), 1139–1147. https://doi.org/10.22219/jpbi.v10i3.36896

Ahmed, S. K. (2024). The pillars of trustworthiness in qualitative research. Journal of Medicine, Surgery, and Public Health, 2, Article 100051. https://doi.org/10.1016/j.glmedi.2024.100051

Al-Ansi, A. M., Jaboob, M., Garad, A., & Al-Ansi, A. (2023). Analyzing augmented reality (AR) and virtual reality (VR) recent development in education. Social Sciences & Humanities Open, 8, Article 100532. https://doi.org/10.1016/j.ssaho.2023.100532

Amrianto. (2025). Problems and challenges in 21st century biology learning: A qualitative study. Research and Development Journal of Education, 11(2). https://doi.org/10.30998/rdje.v11i2.26534

Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in reflexive thematic analysis? Qualitative Research in Psychology, 18(3), 328–352. https://doi.org/10.1080/14780887.2020.1769238

Byrne, D. (2022). A worked example of Braun and Clarke’s approach to reflexive thematic analysis. Quality & Quantity, 56, 1391–1412. https://doi.org/10.1007/s11135-021-01182-y

Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D., & Walker, K. (2020). Purposive sampling: Complex or simple? Research case examples. Journal of Research in Nursing, 25(8), 652–661. https://doi.org/10.1177/1744987120927206

Defensor, M. C., Defensor, R. I., & Wright, C. Y. (2024). Qualitative case study of a virtual education program: Challenges and future directions. European Journal of Educational Research, 13(1), 299–309. https://doi.org/10.12973/eu-jer.13.1.299

Faria, A., & Miranda, G. L. (2024). Augmented reality in natural sciences and biology teaching: Systematic literature review and meta-analysis. Emerging Science Journal, 8(4), 1666–1685. https://doi.org/10.28991/ESJ-2024-08-04-025

Hadi, K., Sudatha, W., Suartama, K., & Santosa, M. H. (2025). Biology learning based ICT in Indonesia: A systematic literature review. Jurnal Penelitian Pendidikan IPA, 11(6), 36–44. https://doi.org/10.29303/jppipa.v11i6.11778

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

Indrati, D. A., & Masing, F. A. (2025). Research trends of augmented reality in biology learning: A systematic literature review from 2020–2024. Biosfer: Jurnal Pendidikan Biologi, 18(2), 145–159. https://doi.org/10.21009/biosferjpb.53911

Liono, R. A., Amanda, N., Pratiwi, A., & Gunawan, A. A. S. (2021). A systematic literature review: Learning with visual by the help of augmented reality helps students learn better. Procedia Computer Science, 179, 144–152. https://doi.org/10.1016/j.procs.2020.12.019

Lobe, B., Morgan, D., & Hoffman, K. A. (2020). Qualitative data collection in an era of social distancing. International Journal of Qualitative Methods, 19, 1–8. https://doi.org/10.1177/1609406920937875

Majewska, A. A., & Vereen, E. (2023). Using immersive virtual reality in an online biology course. Journal for STEM Education Research, 6, 480–495. https://doi.org/10.1007/s41979-023-00095-9

Mansour, N., Aras, C., Staarman, J. K., & Alotaibi, S. B. M. (2025). Embodied learning of science concepts through augmented reality technology. Education and Information Technologies, 30, 8245–8275. https://doi.org/10.1007/s10639-024-13120-0

Miller, K. M., & Yoon, S. A. (2023). Teaching complexity in biology through agent-based simulations: The relationship between students’ knowledge of complex systems and metamodeling knowledge. Frontiers in Education, 8, Article 1198307. https://doi.org/10.3389/feduc.2023.1198307

Onowugbeda, F. U., Okebukola, P. A., Ige, A. M., Lameed, S. N., Agbanimu, D. O., & Adam, U. A. (2024). A cultural, technological, and contextual pedagogy to enhance retention of biology concepts. The Journal of Educational Research, 117(2), 49–60. https://doi.org/10.1080/00220671.2024.2324714

Permana, T. I., Husamah, H., Nurhamdani, M. I., Zaskia, A., Savitri, A., & Salsabila, D. A. (2024). Augmented reality in biology education: A systematic literature review. Research and Development in Education, 4(1), 630–652. https://doi.org/10.22219/raden.v4i1.32636

Sangur, K., Zubaidah, S., & Sulisetijono. (2025). A systematic literature review of mobile learning trends in biology education over ten years. Social Sciences & Humanities Open, 11, Article 101429. https://doi.org/10.1016/j.ssaho.2025.101429

Sattar, M. A., Maqbool, M. U., Zakir, F., & Billah, M. (2025). Enhancing student engagement through augmented reality in secondary biology education. Frontiers in Education, 10, Article 1628004. https://doi.org/10.3389/feduc.2025.1628004

Stanič, K., & Špernjak, A. (2025). Augmented reality in biology education: A literature review. Multimodal Technologies and Interaction, 9(12), Article 117. https://doi.org/10.3390/mti9120117

Suprapto, P. K., Ardiansyah, R., Diella, D., Chaidir, D. M., Hendrawan, A. M., Diana, S. W., & Amarulloh, A. (2024). Plant anatomy: Definition, classification of plant organs and tissue, and design of a visuospatial transformation learning model for teaching biology. Indonesian Journal of Science and Technology, 9(2), 557–584. https://doi.org/10.17509/ijost.v9i2.72105

Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Martínez-Monés, A., & Ioannou, A. (2023). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and Information Technologies, 28, 6695–6726. https://doi.org/10.1007/s10639-022-11431-8

Vekli, G. S., & Çalık, M. (2023). The effect of web-based biology learning environment on academic performance: A meta-analysis study. Journal of Science Education and Technology, 32, 365–378. https://doi.org/10.1007/s10956-023-10033-4

Weng, C., Otanga, S., Christianto, S. M., & Chu, R. J. C. (2020). Enhancing students’ biology learning by using augmented reality as a learning supplement. Journal of Educational Computing Research, 58(4), 747–770. https://doi.org/10.1177/0735633119884213

Wilsa, A. W., Hartono, H., Subali, B., & Rahayu, E. S. (2025). Research trends of augmented reality in biology learning: Content and bibliometric mapping analysis. Malaysian Journal of Learning and Instruction, 22(1), 157–180. https://doi.org/10.32890/mjli2025.22.1.9

Yapıcı, İ. Ü., & Karakoyun, F. (2021). Using augmen ted reality in biology teaching. Malaysian Online Journal of Educational Technology, 9(3), 40–51. https://doi.org/10.52380/mojet.2021.9.3.286

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Published

2026-05-01

How to Cite

Development of a Digital Technology-Based Biology Learning Model to Enhance Conceptual Understanding. (2026). Global Journal of Biology, 1(1), 38-49. https://ejournal.globalterasfana.com/gjbio/article/view/72