Realizing Adaptive Learning with Living Intelligence: The Role of AI, Biotechnology, and Smart Sensors in Education
DOI:
https://doi.org/10.61942/msj.v3i3.407Keywords:
Artificial Intelligence, Biotechnology, Smart SensorsAbstract
The 21st century demands an education system that is adaptive, personalized, and responsive to the diversity of learners. The integration of Artificial Intelligence (AI), biotechnology, and smart sensors within the concept of living intelligence offers a transformative solution for realizing dynamic, evidence-based learning. AI utilizes real-time analytics, knowledge tracing, and multimodal modeling to map students' cognitive, affective, and contextual states, allowing for prescriptive and anticipatory learning interventions. Biotechnology and smart sensors enrich the system with biometric indicators such as heart rate variability (HRV), electrodermal activity (EDA), brain waves (EEG), and sleep quality, which are analyzed synchronously to monitor learning readiness in real time. This approach combines cognitive, affective, and physiological dimensions within a single, interconnected ecosystem. Challenges such as algorithmic bias, data privacy, concept drift, and infrastructure limitations are addressed through privacy-by-design governance, federated learning, and explainable AI. The role of the teacher shifts to that of a curator of meaning and a data-driven decision-maker, while the open learner model provides space for student participation. Through multidisciplinary collaboration and ethical policies, living intelligence becomes a new paradigm for education that is inclusive, sustainable, and capable of forming lifelong learners who are relevant to future demands
Downloads
References
Allam, H. M., Gyamfi, B., & AlOmar, B. (2025). Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education. Education Sciences, 15(4), 398.
Amalia, S., Adawiyah, S. R., Septilia, W., & Marinda, Z. (2025). Integrasi Kebutuhan Akademik dan Keterampilan Hidup di Sekolah Dasar. Jurnal Multidisiplin Ilmu, 1(1).
Bhardwaj, A., Kishore, S., & Pandey, D. K. (2022). Artificial intelligence in biological sciences. Life, 12(9), 1430.
Demartini, C. G., Sciascia, L., Bosso, A., & Manuri, F. (2024). Artificial intelligence bringing improvements to adaptive learning in education: A case study. Sustainability, 16(3), 1347.
Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216.
Judijanto, L., Hartati, T., Apriyanto, A., Pamangin, W. W., & Haluti, F. (2025). Pendidikan Abad 21:: Menyambut Transformasi Dunia Pendidikan di Era Society 5.0. PT. Sonpedia Publishing Indonesia.
Kshirsagar, K. P. (2025). The Role of Artificial Intelligence in Advancing Applied Life Sciences: An Introduction. The Role of Artificial Intelligence in Advancing Applied Life Sciences, 1-48.
Nasir, M., Mahmudinata, A. A., Ulya, M., & Firdaus, F. A. (2023). Strategi pemberdayaan sekolah sebagai upaya peningkatan manajemen pendidikan. Journal of International Multidisciplinary Research, 1(2).
Nasution, J. N., Putri, A. E., Lubis, Y., Siagian, R. T., & Umar, A. T. (2024). Membagun pendidikan 4.0: Peran vital teknologi dalam meningkatkan kualitas pembelajaran. NUSRA: Jurnal Penelitian Dan Ilmu Pendidikan, 5(3), 985-997.
Nisa, S. F., Ginting, F. B., & Ananda, A. D. (2025). Kurikulum Pendidikan Agama Islam Adaptif untuk Menyongsong Era Artificial Intelligence. Mesada: Journal of Innovative Research, 2(1), 311-325.
Puspitawati, R. P., Afnan, M. Z., Abrizal, H. P., Anjani, G. A. D. K., & Adisatria, B. (2024). Artificial Intelligence dalam Artikel Pendidikan Biologi pada Rentang Tahun 2003-2024. In Seminar Nasional Inovasi Penelitian dan Pembelajaran Biologi (Vol. 8, pp. 44-60).
Ritonga, L. A., & Sofiyah, K. (2024). Tantangan dan Inovasi Dalam Pendidikan Matematika Melalui Pendekatan Multidisiplin Dapat Membangun Keterampilan Berpikir Kritis. Calakan: Jurnal Sastra, Bahasa, dan Budaya, 2(2), 88-92.
Sagdic, K., Eş, I., Sitti, M., & Inci, F. (2022). Smart materials: rational design in biosystems via artificial intelligence. Trends in biotechnology, 40(8), 987-1003.
Shen, S., Zhu, T., Wu, D., Wang, W., & Zhou, W. (2022). From distributed machine learning to federated learning: In the view of data privacy and security. Concurrency and Computation: Practice and Experience, 34(16), e6002.
Siregar, R. D., & Nurazizah, N. (2025). Peran Pendekatan Multidisipliner Dalam Pengembangan Ilmu dan Teknologi. Citizen: Jurnal Ilmiah Multidisiplin Indonesia, 5(3), 879-885.
Sodikin, S. (2024). Transformasi Pendidikan Agama Islam Melalui Artificial Intelligent (AI): Upaya Meningkatkan Kemampuan Berpikir Kritis Mahasiswa. Academicus: Journal of Teaching and Learning, 3(2), 78-89.
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025). AI‐driven adaptive learning for sustainable educational transformation. Sustainable Development, 33(2), 1921-1947.
Widarti, E., Efitra, E., Juansa, A., Adhy, D. R., Anwar, N., Prasetya, L. A., & Rianty, E. (2025). Smart Life With Internet of Things (IoT): Optimalisasi & Pemanfaatan IoT untuk Kehidupan Modern. PT. Star Digital Publishing, Yogyakarta-Indonesia.
Wulandari, I. Y., Silalahi, L. M., Indroasyoko, N., Ema, E., & Muhtar, M. (2021). Studi literatur review: Integrasi kurikulum pembelajaran cerdas biosensor menggunakan teknologi internet of things. Jurnal Tiarsie, 18(3), 97-102.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Nia Mariyani, Do Intan Putri Anum, Rista Adhani Restiawati, Harun Fitrawan, Dafyar Eliadi Hardian
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
