Rekonstruksi Praktik Pembelajaran Berpusat pada Manusia di Era Artificial Intelligence
DOI:
https://doi.org/10.59944/jipsi.v5i2.1386Keywords:
Artificial Intelligence; Human-Centered Learning; Learning Practice Reconstruction; Learning Enabler; Systematic Narrative Literature Review.Abstract
The rapid development of Artificial Intelligence (AI) has transformed learning practices by improving access to information, enabling personalized learning, and enhancing educational efficiency. At the same time, it has introduced challenges related to the development of critical thinking, creativity, academic integrity, and the quality of pedagogical interactions. This study aims to reconstruct Human-Centered Learning practices in the era of Artificial Intelligence through a conceptual synthesis of relevant scholarly literature. The study employed a Systematic Narrative Literature Review (SNLR) approach within a library research design. Data were collected from five peer-reviewed journal articles selected purposively based on their relevance to Artificial Intelligence, Human-Centered Learning, humanistic learning, character education, and Deep Learning. The data were analyzed using thematic analysis involving data reduction, coding, categorization, and conceptual synthesis. The findings reveal that the reconstruction of learning practices is built upon five interrelated dimensions: learning objectives, teachers' roles, students' roles, learning strategies, and assessment. These dimensions constitute a Human-Centered Learning Reconstruction Model in the Era of Artificial Intelligence, positioning AI as a learning enabler while maintaining Human-Centered Learning as the guiding paradigm for fostering critical thinking, creativity, character development, and students' responsibility. This study contributes a comprehensive conceptual framework that integrates perspectives on Artificial Intelligence, humanistic learning, character education, and Deep Learning to support the development of adaptive, innovative, and human-centered learning practices.
References
Banh, L., & Strobel, G. (2023). Generative artificial intelligence. Electronic Markets, 33(1). https://doi.org/10.1007/s12525-023-00680-1
Bittencourt, J. C. N., Flores, T. K. S., Jesus, T. C., & Costa, D. G. (2026). On the role of AI in building generative urban intelligence. Artificial Intelligence Review, 59(2). https://doi.org/10.1007/s10462-025-11469-3
Chi, X., Wang, W., Zhang, Z., Li, A., Huang, Y., Wu, Y., Kuang, K., Sun, C., Liu, X., Wu, F., & Xiong, M. (2026). LegalAI Research in LLM Era: Data, Modeling and Evaluation. Artificial Intelligence Review, 59(4). https://doi.org/10.1007/s10462-026-11514-9
Cholid, N., Husna, M. A., Transformatif, P. I., Disrupsi, M., Buatan, K., Krisis, D., Paradigma, R., Islam, P., & Ke-21 Mustaghfirin, A. (n.d.). IHSAN : Jurnal Pendidikan Islam. https://doi.org/10.61104/ihsan.v4i4.10026
Hidayat, F. (2026). Pembelajaran Mendalam (Deep learning) dalam Pendidikan Dasar: Analisis Filosofis terhadap Transformasi Pembelajaran di Era Artificial Intelligence. In Journal of Primary Education (Vol. 5, Number 1).
Elcha Athifa, Dinizen, & Gusmaneli. (2025). Pengembangan Model Desain Instruksionalnai Berbasis Humanistik untuk Penguatan Karakter Religius Peserta Didik. Journal of Literature Review, 1(2), 648–662. https://doi.org/10.63822/4jwam971
Firzanah, N., Falah, I., Dini, R., Sukma, T. S., Ana, N., Islam, U., Abdurrahman, N. K. H., & Pekalongan, W. (n.d.). Paradigma Pendidikan Transformatif dalam Pendidikan Islam: Analisis Konseptual dan Implikasinya terhadap Pengembangan Kurikulum Cinta di Madrasah. In Jurnal Pendidikan Teknologi Informasi dan Komunikasi (Vol. 6).
Huang, X. (2026). Artificial intelligence in education in the new era: Opportunity or challenge? Universal Access in the Information Society, 25(2). https://doi.org/10.1007/s10209-026-01318-7
Huynh, L., Le, T. H., Dang, B., An, B. T., Vu, C. T., & Nguyen, A. (2025). Mindset matters: Fostering teachers’ responsible AI use through professional development. Journal of New Approaches in Educational Research, 14(1). https://doi.org/10.1007/s44322-025-00043-y
Khasawneh, Y. J. A., Khasawneh, N. A. S., & Khasawneh, M. A. S. (2026). Synergistic Scale for AI Integration in Spiritual Leadership and Educational Management Transformation (Ssai-Slem): Development, Network Analysis, and Validation Among Jordanian Secondary School Administrators. Journal of Religion and Health, 65(1), 875–921. https://doi.org/10.1007/s10943-025-02390-8
Lai, Q. (2026). Research on the refinement of college student education management based on artificial intelligence. Discover Artificial Intelligence, 6(1). https://doi.org/10.1007/s44163-025-00651-9
Li, W., & Li, B. (2025). A bibliometric review of the integration of information technology into foreign language teaching: a visualized analysis using CiteSpace. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-06188-7
Mohan, M., Ain, H., Yunus, M., Bakar, A., & Korespondensi, P. (2026). Rekonstruksi Teori Humanistik dalam Pembelajaran Era Digital: Kajian Konseptual dan Implementatif terhadap Pengembangan Potensi Peserta Didik Universitas Islam Negeri Sunan Ampel Surabaya, Indonesia. Jurnal Ilmiah Nusantara (JINU), 3(4), 608–619. https://doi.org/10.61722/jinu.v3i4.10359
Mudzakkir, A. M. S. Y. S. A. S. (n.d.). Menggali Potensi Fitrah Anak Didik: Kajian Konseptual tentang Hakikat Manusia dalam Pendidikan.
Najmah, N. A. (2023). Analisis Tematik pada Penelitian Kualitatif. Salemba Empat.
Nguyen, C. D., & Vo, T. D. (2026). Teaching in the Age of AI: Vietnamese Teachers Reframing Identity and Practice. TechTrends. https://doi.org/10.1007/s11528-026-01207-z
Nur Fatihah, R., Anastasya Ramadhani, A., Qibtyah, M., Rafsanjani Akbar, M., & Safitri, D. (2026). 64 Ini adalah artikel akses terbuka di bawah CC BY-NC-SA 4.0 lisensi Eksplorasi Pemanfaatan Artificial Intelligence dalam Proses Pembelajaran di Perguruan Tinggi (Vol. 2, Number 3). https://jurnal-muqaddimah.or.id/index.php/Al-Muqaddimah/index
Park, S. (2024). Theodor W. Adorno, Artificial Intelligence, and Democracy in the Postdigital Era. Postdigital Science and Education, 6(4), 1287–1303. https://doi.org/10.1007/s42438-023-00424-6
Mu’tamiroh, S. R. M. N. , I. A. A. (2026). Rekonstruksi Pembentukan Karakter Peserta Didik Era Generative Artificial Intelligence Perspektif Filsafat Pendidikan Al-Ghazali. Pendas: Jurnal Ilmiah Pendidikan Dasar, 11(03), 370–385.
Ruan, Q. (2025). A philosophical perspective on constructing an information literacy education framework to foster college students’ complex thinking skills. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-05760-5
Shi, J., & Sirgy, M. J. (2026). When Does Artificial Intelligence Align with Quality of Life? The Moderating Role of Governance Quality. Applied Research in Quality of Life. https://doi.org/10.1007/s11482-026-10649-9
Shimizu, I., Kasai, H., Ozaki, N., Nishiuchi, H., Shikino, K., Araki, N., Onodera, M., Kimura, Y., Tsukamoto, T., Tajima, H., Ito, S., & Kawakami, E. (2026). Expanding the Roles of Medical Educators in the Generative Artificial Intelligence Era: A Qualitative Study. Medical Science Educator. https://doi.org/10.1007/s40670-026-02734-3
Sugiyono. (2020). Metode penelitian kuantitatif, kualitatif dan R&D. Alfabeta.
Wang, C., Chen, Y., Hu, Z., Li, Y., & Gu, X. (2025). The journey of challenges and victories: exploring the transformation action framework in the GenAI era from multifaceted policies. Educational Technology Research and Development, 73(5), 2951–2993. https://doi.org/10.1007/s11423-025-10535-5
Wang, J. Q., Liu, G., & Lei, Y. (2025). Reaffirming the importance of traditional humanities in the era of AI-enhanced translation and transcultural communication. International Communication of Chinese Culture, 12(2), 277–311. https://doi.org/10.1007/s40636-025-00334-1
Wu, L., Wu, C., Geng, J., Zhao, H., & Liu, Z. (2026). Mechanisms of employability development for applied talents in the artificial intelligence era. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-026-49248-x
Xue, A., Lu, H., & Cheng, Z. (2026). The institutional forces behind artificial intelligence application in private corporations: empirical evidence from state capital participation. Eurasian Business Review. https://doi.org/10.1007/s40821-026-00363-9
Yang, W., Chen, H., & Rao, F. (2026). A qualitative study of physical education teachers’ perceptions of artificial intelligence and influencing factors based on social cognitive theory. BMC Psychology, 14(1). https://doi.org/10.1186/s40359-026-04295-x
Yang, W., Wang, S., Wu, D., Cai, T., Zhu, Y., Wei, S., Zhang, Y., Yang, X., Tang, Z., & Li, Y. (2025). Deep learning model inversion attacks and defenses: a comprehensive survey. Artificial Intelligence Review, 58(8). https://doi.org/10.1007/s10462-025-11248-0
Yu, F., Zhao, Y., Xu, L., & Peng, K. (2025). Teaching Psychology in Era of Digital Intelligence: The Role of Artificial Intelligence in Knowledge-Oriented and Research-Oriented Education. Frontiers of Digital Education, 2(1). https://doi.org/10.1007/s44366-025-0043-1
Yu, X., Hou, M., & Li, Y. (2026). AI, environment and lifeworld: How does artificial intelligence influence lived experience in environmental ethics? AI and Society, 41(5), 4691–4703. https://doi.org/10.1007/s00146-025-02770-4

























