Integrating Artificial Intelligence into Problem-Based Learning to Enhance Self-Regulated Learning
DOI:
10.29303/jpm.v21i4.12199Published:
2026-08-18Downloads
Abstract
Technological advancements in the digital age have brought significant changes to the learning process; however, students’ self-regulated learning skills in science education still need to be improved, particularly in their ability to plan, monitor, and evaluate the learning process. Therefore, technology-based learning innovations such as Artificial Intelligence (AI) are needed to provide rapid and personalized feedback to support Self-Regulated Learning (SRL). This study aims to determine the effect of integrating Artificial Intelligence (AI) into the Problem-Based Learning (PBL) model on students’ Self-Regulated Learning (SRL) skills in science education. This study employs a quantitative approach with a one-group experimental design, involving 17 students in the experimental class and 10 students in the replication class, selected through purposive sampling. The research instrument consists of a Self-Regulated Learning questionnaire. Data analysis was conducted using descriptive statistics, the Shapiro-Wilk normality test, and a one-sample t-test for hypothesis testing. The results showed that the mean Self-Regulated Learning (SRL) scores of students in the experimental class were 90.12 and 92.40 in the replication class, both falling into the high category, and the data were normally distributed with significance values of 0.842 and 0.589, respectively (p > 0.05). The results of the hypothesis test showed a p-value of 0.000 for the experimental class.
Keywords:
Artificial Intelligence Problem-Based Learning Science Learning Self-Regulated LearningReferences
[1] D. E. Subroto, Supriandi, R. Wirawan, and A. Y. Rukmana, “Implementasi teknologi dalam pembelajaran di era digital: Tantangan dan peluang bagi dunia pendidikan di Indonesia,” J. Pendidik. West Sci., vol. 1, no. 7, pp. 473–480, 2023, doi: 10.58812/jpdws.v1i07.542.
[2] R. D. Maulansyah, D. Febrianty, and M. Asbari, “Peran guru dalam peningkatan mutu pendidikan: Penting dan genting!,” 2023.
[3] P. Diana, I. Marethi, and A. S. Pamungkas, “Kemampuan pemahaman konsep matematis siswa: Ditinjau dari kategori kecemasan matematik,” Supremum J. Math. Educ., vol. 4, no. 1, pp. 24–32, 2020, doi: 10.35706/sjme.v4i1.2033.
[4] B. Kurniawan, D. Dwikoranto, and M. Marsini, “Implementasi problem-based learning untuk meningkatkan pemahaman konsep siswa: Studi pustaka,” Practice Sci. Teach. J., vol. 2, no. 1, pp. 27–36, 2023, doi: 10.58362/hafecspost.v2i1.28.
[5] M. Muhartini, A. Mansur, and A. Bakar, “Pembelajaran kontekstual dan pembelajaran problem-based learning,” Lencana J. Inov. Ilmu Pendidik., vol. 1, no. 1, pp. 66–77, 2023, doi: 10.55606/lencana.v1i1.881.
[6] R. E. I. Arnita Budi Asnianti, Problem-Based Learning. Accessed: May 20, 2026. [Online]. Available: https://www.google.co.id/books/edition/Problem_Based_Learning/DejEEAAAQBAJ
[7] V. A. Putri, K. C. Andjani, and R. A. Rafael, “Peran artificial intelligence dalam proses pembelajaran mahasiswa di Universitas Negeri Surabaya,” 2023.
[8] D. P. Parlindungan, G. P. Mahardika, and D. Yulinar, “Efektivitas media pembelajaran berbasis video pembelajaran dalam pembelajaran jarak jauh (PJJ) di SD Islam An-Nuriyah,” 2020.
[9] I. M. Darwati and I. M. Purana, “Problem-based learning (PBL): Suatu model pembelajaran untuk mengembangkan cara berpikir kritis peserta didik,” Widya Accarya, vol. 12, no. 1, pp. 61–69, 2021, doi: 10.46650/wa.12.1.1056.61-69.
[10] B. Karyadi, “Pemanfaatan kecerdasan buatan dalam mendukung pembelajaran mandiri,” 2023.
[11] C. Hasanudin et al., “Pendampingan guru dalam menyusun media 3D dengan konsep kartun berbantuan Meta AI dan ChatGPT untuk pembelajaran di sekolah dasar,” 2025.
[12] A. Rosyada and N. Wahzudik, “Hubungan perceived usefulness dan cognitive offloading terhadap self-regulated learning pada siswa SMA pengguna generative AI,” J. Stud. Guru dan Pembelajaran, vol. 9, no. 1, pp. 511–521, 2026, doi: 10.30605/jsgp.9.1.2026.8321.
[13] A. R. Lanio, A. H. Odja, L. M. K. Amali, M. Latjompoh, S. Fathan, and R. R. Ali, “The effect of problem-based learning integrated with artificial intelligence on self-regulated learning tendencies,” 2026, doi: 10.36526/sosioedukasi.v14i4.7184.
[14] R. Risnita, Muhajirin, and Asrulla, “Pendekatan penelitian kuantitatif dan kualitatif serta tahapan penelitian,” J. Genta Mulia, vol. 15, no. 1, pp. 82–92, 2024.
[15] Sugiyono, Metode Penelitian Pendidikan: Pendekatan Kuantitatif, Kualitatif, dan R&D. Bandung, Indonesia: Alfabeta, 2014.
[16] G. D. Ahadi and N. N. L. E. Zain, “Pemeriksaan uji kenormalan dengan Kolmogorov–Smirnov, Anderson–Darling dan Shapiro–Wilk,” Educ. Math. J., pp. 11–19, 2023, doi: 10.29303/emj.v6i1.131.
[17] H. Mustafidah, A. Imantoyo, and S. Suwarsito, “Pengembangan aplikasi uji-t satu sampel berbasis web,” J. Inform., vol. 8, no. 2, p. 245, 2020, doi: 10.30595/juita.v8i2.8786.
[18] R. Aini and S. Pd, “Pelatihan menetapkan kriteria ketuntasan minimal (KKM) dalam meningkatkan kompetensi guru UPTD SD Negeri Tlokoh 2 Kecamatan Kokop Kabupaten Bangkalan tahun pelajaran 2019/2020,” 2020.
[19] B. J. Zimmerman and A. R. Moylan, “Self-regulation,” in Handbook of Metacognition in Education. New York, NY, USA: Routledge. Accessed: May 29, 2026. [Online]. Available: https://www.taylorfrancis.com/chapters/edit/10.4324/9780203876428-23
[20] L. V. Hignasari, I. W. Lasmawan, and D. P. Parmiti, “Studi kualitatif hubungan metakognisi dan self-assessment terhadap keterampilan berpikir kritis matematika siswa SMP,” EMASAINS, vol. 15, no. 1, pp. 154–168, 2026, doi: 10.59672/emasains.v15i1.5943.
[21] D. S. Amelia and F. Arianto, “Pengaruh model problem-based learning berbantuan artificial intelligence (AI) terhadap berpikir kritis siswa dalam mata pelajaran sejarah di kelas X SMK IPIEMS Surabaya,” 2026.
[22] Z. Nisa and Susanto, “Optimalisasi media pembelajaran berbasis artificial intelligence untuk meningkatkan efektivitas dan hasil belajar,” Novara: Nusant. Innov. Educ. Technol., vol. 1, no. 3, pp. 271–283, 2024, doi: 10.64093/novara.v1i3.720.
[23] R. Stevana, S. Selarista, and I. Indra, “Penerapan dan karakteristik model pembelajaran berbasis masalah serta pengaruhnya terhadap kemampuan pemecahan masalah dan berpikir kritis siswa,” Nubuat J. Pendidik. Agama Kristen dan Katolik, vol. 2, no. 4, pp. 153–164, 2025, doi: 10.61132/nubuat.v2i4.1601.
[24] D. H. Schunk and B. J. Zimmerman, Motivation and Self-Regulated Learning: Theory, Research, and Applications. New York, NY, USA: Routledge, 2008.
[25] A. R. Lanio and A. H. Odja, “Analisis baseline self-regulated learning siswa: Kerangka konseptual terintegrasi PBL dan artificial intelligence dalam pembelajaran IPA,” vol. 5, 2025, doi: 10.21154/jtii.v5i3.5273.
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Copyright (c) 2026 Nurinda R. Bakri, Abdul Haris Odja, Dewi Diana Paramata, Citron S. Payu, Mursalin Mursalin
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