Innovative Learning Paths in Biology Education
Integrating Educational Technology and Transdisciplinary Approaches in the Era of Industry 5.0
DOI:
https://doi.org/10.56741/jetia.v1i02.1116
Keywords:
Biology Education, Educational Technology, Industry 5.0, Learning Path, STEAM, Transdisciplinary Learning
Abstract
This study explores the transformation of biology learning paths through the integration of educational technologies and transdisciplinary strategies within the context of Industry 5.0 and Society 5.0. Using qualitative and design-based methods, we developed learning frameworks incorporating both hard and soft technologies, including AI applications, big data, virtual labs, and STEAM-based projects. Results show that educational innovations not only enrich students' conceptual understanding but also cultivate 21st-century competencies such as analytical thinking, collaboration, and problem-solving. The study proposes a dynamic instructional model aligned with real-world issues and concludes that adaptive ecosystems in educational institutions are essential for preparing responsible and innovative future scientists.
References
W. Holmes and I. Tuomi, “State of the art and practice in AI in education,” Eur. J. Educ., vol. 57, no. 4, pp. 542–570, 2022. DOI: https://doi.org/10.1111/ejed.12533
D. G. Broo, O. Kaynak, and S. M. Sait, “Rethinking engineering education at the age of industry 5.0,” *J. Ind. Inf. Integr., vol. 25, p. 100311, 2022. DOI: https://doi.org/10.1016/j.jii.2021.100311
M. Teplá, P. Teplý, and P. Šmejkal, “Influence of 3D models and animations on students in natural subjects,” Int. J. STEM Educ., vol. 9, no. 1, p. 65, 2022. DOI: https://doi.org/10.1186/s40594-022-00382-8
V. Curtis, “Motivation to participate in an online citizen science game: A study of Foldit,” Sci. Commun., vol. 37, no. 6, pp. 723–746, 2015. DOI: https://doi.org/10.1177/1075547015609322
A. R. McDonald, R. Roberts, J. R. Koeppe, and B. L. Hall, “Undergraduate structural biology education: A shift from users to developers of computation and simulation tools,” Curr. Opin. Struct. Biol., vol. 72, pp. 39–45, 2022. DOI: https://doi.org/10.1016/j.sbi.2021.07.012
J. L. M. Quiñonez, “Personalized learning environment (PLE) for Biology using Symbaloo Lesson Plans as a digital resource,” Rev. Repique, vol. 7, no. 1, pp. 94–113, 2025.
A. Twiningsih and E. Elisanti, “Development of STEAM media to improve critical thinking skills and science literacy,” Int. J. Emerg. Issues Early Child. Educ., vol. 3, no. 1, pp. 25–34, 2021. DOI: https://doi.org/10.31098/ijeiece.v3i1.520
M. Leasa, C. Ginting, H. Tarigan, L. Kolatlena, J. R. Batlolona, and U. E. Edike, “The effect of STEAM project-based learning approach towards student learning motivation: utilization of plastic waste with ecobricks technique,” J. Pendidik. MIPA, vol. 25, no. 2, pp. 512–529, 2024. DOI: https://doi.org/10.23960/jpmipa/v25i2.pp512-529
C. Rodríguez-Muñoz and J. Huincahue, “Interdisciplinary practices for teaching biology: a systematic review,” J. Biol. Educ., pp. 1–19, 2024.
E. N. Manolis and E. N. Manoli, “Raising awareness of the sustainable development goals through ecological projects in higher education,” J. Clean. Prod., vol. 279, p. 123614, 2021. DOI: https://doi.org/10.1016/j.jclepro.2020.123614
S. Halawa, T. C. Lin, and Y. S. Hsu, “Exploring instructional design in K-12 STEM education: a systematic literature review,” Int. J. STEM Educ., vol. 11, no. 1, p. 43, 2024. DOI: https://doi.org/10.1186/s40594-024-00503-5
H. Daneshpour and E. Kwegyir-Afful, “Analysing transdisciplinary education: a scoping review,” Sci. Educ., vol. 31, no. 4, pp. 1047–1074, 2022. DOI: https://doi.org/10.1007/s11191-021-00277-0
S. A. Karakaya, “The Role of Artificial Intelligence in Botanical Gardens: Enhancing Plant Identification and Conservation Efforts,” Düzce Univ. Süs Tıbbi Bitk. Bot. Bahçesi Derg., vol. 3, no. 2, pp. 23–38.
S. I. Aleksandrovich, T. Ramazan, R. Utegaliyeva, B. Sarimbayeva, G. Keubassova, R. Bissalyyeva, et al., “Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights,” Caspian J. Environ. Sci., vol. 22, no. 2, pp. 395–408, 2024.
H. R. D. AL-Fayyadh, S. A. Ganim Ali, and D. B. Abood, “Modelling an Adaptive Learning System Using Artificial Intelligence,” Webology, vol. 19, no. 1, pp. 01–18, 2021. DOI: https://doi.org/10.14704/WEB/V19I1/WEB19001
A. Matorevhu, “Curriculum innovation implementation for industrialization: A case of education 5.0 pre-service science and mathematics teacher preparation,” J. Res. Instr., vol. 3, no. 1, pp. 69–86, 2023. DOI: https://doi.org/10.30862/jri.v3i1.214
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