AI-Driven Learning Analytics for Self-Regulated and Metacognitive Learning: A Systematic Review
DOI:
https://doi.org/10.57255/intellect.v4i02.1657Keywords:
AI in education, Learning analytics, Self regulated learning, MetacognitionAbstract
Artificial intelligence (AI) and learning analytics are increasingly integrated into educational systems, yet their impact on self‑regulated learning (SRL) and metacognition remains not fully understood. This systematic review synthesizes findings from 34 empirical and review studies on AI‑driven learning analytics in formal education, focusing on their effects on SRL, metacognition, motivation, and academic performance. Following PRISMA guidelines, studies were identified through searches in Scopus, Web of Science, ERIC, and Google Scholar for articles published between 2020 and 2025, using keywords related to AI, learning analytics, SRL, and metacognition. Studies were included if they used AI‑based analytical or adaptive systems, standardized SRL or metacognitive measures, and pre–post or comparison data. Results show that AI‑based tools such as predictive models, intelligent tutoring systems, adaptive platforms, learning dashboards, and generative or conversational AI support goal setting, monitoring, strategy adjustment, and reflective evaluation through feedback, progress visualization, and personalized recommendations. Most studies report improvements in SRL strategies, metacognitive awareness, motivation, engagement, and learning outcomes, though effects vary across research design quality, educational levels, and subject areas. However, several challenges persist, including infrastructural limitations, limited teacher readiness, data privacy and ethical issues, algorithmic bias, and potential overreliance on AI that may weaken learners’ independent strategic thinking. Overall, AI‑driven learning analytics hold substantial potential to enhance SRL and metacognition when integrated within coherent pedagogical frameworks and supported by institutional policies promoting transparency, equity, and human agency.
Abstrak
Kecerdasan buatan (AI) dan learning analytics semakin meluas dalam sistem pendidikan, namun dampaknya terhadap self‑regulated learning (SRL) dan metakognisi masih belum sepenuhnya dipahami. Tinjauan sistematis ini mensintesis temuan dari 34 studi empiris dan tinjauan pustaka mengenai penerapan AI‑driven learning analytics di pendidikan formal, berfokus pada pengaruhnya terhadap SRL, metakognisi, motivasi, dan kinerja akademik. Dengan mengikuti pedoman PRISMA, artikel dipilih melalui pencarian di Scopus, Web of Science, ERIC, dan Google Scholar untuk periode 2020–2025 menggunakan kata kunci terkait AI, learning analytics, SRL, dan metakognisi. Studi disertakan jika menggunakan sistem analitik atau adaptif berbasis AI dengan instrumen terstandar dan data perbandingan pre–post. Hasil menunjukkan bahwa alat berbasis AI seperti model prediktif, sistem tutor cerdas, platform adaptif, dashboard pembelajaran, serta AI generatif atau konversasional mendukung penetapan tujuan, pemantauan, adaptasi strategi, dan refleksi melalui umpan balik, visualisasi kemajuan, dan rekomendasi otomatis. Sebagian besar studi melaporkan peningkatan strategi SRL, kesadaran metakognitif, motivasi, keterlibatan, dan hasil belajar, meski efek berbeda bergantung pada desain penelitian, jenjang pendidikan, dan bidang studi. Namun, tantangan tetap muncul, termasuk keterbatasan infrastruktur, kesiapan guru, privasi data, bias algoritmik, serta potensi ketergantungan berlebih pada AI yang dapat melemahkan kemandirian berpikir strategis. Secara keseluruhan, AI‑driven learning analytics berpotensi memperkuat SRL dan metakognisi bila diintegrasikan dalam kerangka pedagogis yang jelas dan didukung kebijakan institusional yang menegakkan transparansi, keadilan, dan agensi manusia.
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References
C. C. Lin, A. Y. Q. Huang, and O. H. T. Lu, “Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review,” Smart Learn. Environ., vol. 10, no. 1, 2023, doi: 10.1186/s40561-023-00260-y.
M. Gordon et al., “A scoping review of artificial intelligence in medical education: BEME Guide No. 84,” Med. Teach., vol. 46, no. 4, pp. 446–470, 2024, doi: 10.1080/0142159X.2024.2314198.
E. Araka, E. Maina, R. Gitonga, and R. Oboko, “Research trends in measurement and intervention tools for self-regulated learning for e-learning environments—systematic review (2008–2018),” Res. Pract. Technol. Enhanc. Learn., vol. 15, no. 1, 2020, doi: 10.1186/s41039-020-00129-5.
C. Deneen, “Technology and self-regulated learning,” Pacific J. Technol. Enhanc. Learn., vol. 7, no. 2, p. 27, 2025, doi: 10.24135/pjtel.v7i2.230.
Sri Umi Lestari, Syarifuddin, and Nurhasan, “Komik Digital Berbasis Articial Intelegence Untuk Pendidikan Agama Islam di Sekolah Menengah Pertama: Analisis Kebutuhan,” Didakt. J. Kependidikan, vol. 14, no. 3, pp. 4263–4272, 2025, doi: 10.58230/27454312.2893.
Y. Xue, F. B. Khalid, and A. B. A. Karim, “Emerging Trends in Self-Regulated Learning: A Bibliometric Analysis of MOOCs and AI-Enhanced Online Learning (2014–2024),” Int. J. Learn. Teach. Educ. Res., vol. 24, no. 1, pp. 420–442, 2025, doi: 10.26803/ijlter.24.1.21.
M. Lan and X. Zhou, “A qualitative systematic review on AI empowered self-regulated learning in higher education,” npj Sci. Learn., vol. 10, no. 1, 2025, doi: 10.1038/s41539-025-00319-0.
R. Guan, M. Raković, G. Chen, and D. Gašević, “How educational chatbots support self-regulated learning? A systematic review of the literature,” Educ. Inf. Technol., vol. 30, no. 4, pp. 4493–4518, 2025, doi: 10.1007/s10639-024-12881-y.
A. Mohebbi, “Enabling learner independence and self-regulation in language education using AI tools: a systematic review,” Cogent Educ., vol. 12, no. 1, 2025, doi: 10.1080/2331186X.2024.2433814.
A. Goyal, “AI as a Cognitive Partner: A Systematic Review of the Influence of AI on Metacognition and Self-Reflection in Critical Thinking,” Int. J. Innov. Sci. Res. Technol., pp. 1231–1238, 2025, doi: 10.38124/ijisrt/25mar1427.
J. Sardi et al., “How Generative AI Influences Students’ Self-Regulated Learning and Critical Thinking Skills? A Systematic Review,” Int. J. Eng. Pedagog., vol. 15, no. 1, pp. 94–108, 2025, doi: 10.3991/ijep.v15i1.53379.
H. Juan and R. Nagappan, “A Comprehensive Literature Review on AI-Enhanced Autonomous Learning Mechanisms in Vocational Education,” Malaysian J. Soc. Sci. Humanit., vol. 10, no. 3, p. e002958, 2025, doi: 10.47405/mjssh.v10i3.2958.
S. Chardonnens, “Adapting educational practices for Generation Z: integrating metacognitive strategies and artificial intelligence,” Front. Educ., vol. 10, 2025, doi: 10.3389/feduc.2025.1504726.
E. Hussein, M. Hussein, and M. Al-Hendawi, “Investigation into the Applications of Artificial Intelligence (AI) in Special Education: A Literature Review,” Soc. Sci., vol. 14, no. 5, 2025, doi: 10.3390/socsci14050288.
J. M. Aguado-García, S. Alonso-Muñoz, and C. De-Pablos-Heredero, “Using Artificial Intelligence for Higher Education: An Overview and Future Research Avenues,” SAGE Open, vol. 15, no. 2, pp. 1–22, 2025, doi: 10.1177/21582440251340352.
Dinesh Deckker and Subhashini Sumanasekara, “Systematic Review on Ai in Emotional Intelligence and Psychological Education,” EPRA Int. J. Res. Dev., pp. 400–414, 2025, doi: 10.36713/epra21351.
Q. Xia, X. Weng, F. Ouyang, T. J. Lin, and T. K. F. Chiu, “A scoping review on how generative artificial intelligence transforms assessment in higher education,” Int. J. Educ. Technol. High. Educ., vol. 21, no. 1, 2024, doi: 10.1186/s41239-024-00468-z.
S. A. Rasid and M. F. Al Azhari, “The influence of personality traits of AI user students on increasing self-development in learning: PLS-SEM analysis,” Abjadia Int. J. Educ., vol. 10, no. 2, pp. 306–317, 2025, doi: 10.18860/abj.v10i2.32579.
N. Ardana, H. Indrawati, and F. Trisnawati, “Pengaruh Pemanfaatan Teknologi Artificial Intelligence terhadap Kemandirian Belajar (Studi pada Mahasiswa Jurusan Pendidikan IPS Universitas Riau),” JIIP - J. Ilm. Ilmu Pendidik., vol. 8, no. 8, pp. 9688–9699, 2025, doi: 10.54371/jiip.v8i8.8758.
S. Arti and E. Suherlan, “Evaluasi Kinerja Machine Learning dalam Memprediksi Kemampuan Adaptasi Mahasiswa pada Lingkungan Pembelajaran Daring,” J. Pustaka AI (Pusat Akses Kaji. Teknol. Artif. Intell., vol. 5, no. 1, pp. 50–57, 2025, doi: 10.55382/jurnalpustakaai.v5i1.901.
C. R. I. Permatasari and T. N. H. Yunianta, “E-Learning Artificial Intelligence Sebagai Suplemen Dalam Proses Metacognitive Scaffolding Pemecahan Masalah Integral,” AKSIOMA J. Progr. Stud. Pendidik. Mat., vol. 10, no. 2, p. 829, 2021, doi: 10.24127/ajpm.v10i2.3490.
E. J. Jaohari, Z. S. Soeteja, and M. Y. Ramadhan, “Penerapan FERMATA AI dalam Pendidikan Musik untuk Meningkatkan Personal Awareness Mahasiswa Musik,” J. Kiprah Pendidik., vol. 4, no. 3, pp. 320–334, 2025, doi: 10.33578/kpd.v4i3.p320-334.
R. Sianipar, “Integrasi Ai Dalam Pembelajaran Teks Naratif: Studi Tentang Proses, Hasil, Dan Persepsi,” Al-Irsyad J. Educ. Sci., vol. 4, no. 2, pp. 251–264, 2025, doi: 10.58917/aijes.v4i2.226.
L. Lena, R. Leandros, and D. F. Murad, “Akurasi Prediksi Nilai Mahasiswa menggunakan Informasi Kontekstual pada Personalisasi Sistem Rekomendasi,” J. Tek. Inform. Unis, vol. 9, no. 1, pp. 55–60, 2021, doi: 10.33592/jutis.v9i1.1285.
S. Kurniawan, M. A. Rahman, and Y. Sugiarno, “Pengembangan Media Pembelajaran Adaptif Menggunakan Pemrograman Berbasis AI dan Psikologi Pendidikan di SMPN 2 Candi,” J. Inf. Syst. Educ. Dev., vol. 3, no. 2, pp. 5–11, 2025, doi: 10.62386/jised.v3i2.131.
A. Prasetio, Y. Utami, and S. Handayani, “Penerapan Artificial Intelligence untuk Siswa/i SMK Swasta Mustafa Perbaungan,” J. Has. Pengabdi. Masy., vol. 4, no. 1, pp. 38–43, 2025, doi: 10.62712/juribmas.v4i1.359.
Y. L. Buton, B. F. Liarian, R. A. Teti, M. F. Dhato, and F. M. Sewo, “Penerapan Pembelajaran Matematika Berbasis It Dengan Gpt Ai Sebagai Alat Bantu,” Al-Irsyad J. Math. Educ., vol. 4, no. 2, pp. 307–316, 2025, doi: 10.58917/ijme.v4i2.256.
S. Sumarlin and D. Anggraini, “Data Mining Pendidikan: Prediksi Gaya Belajar Mahasiswa Teknik Menggunakan Machine Learning,” J. Teknol. Inf. dan Ilmu Komput., vol. 12, no. 3, pp. 563–572, 2025, doi: 10.25126/jtiik.2025129190.
M. F. Ibrahim, “Model Rangkaian Neural Bagi Penentuan Gaya Pembelajaran Pelajar Berasaskan Model Felder-Silverman,” Asean J. Teach. Learn. High. Educ., vol. 14, no. 2, pp. 108–121, 2022, doi: 10.17576/ajtlhe.1402.2022.08.
B. P. Gautama, N. Indriana Agusti, D. Lazuardi, and C. Maman Fathurohman, “Artificial Intelligence (Ai) and Chatgpt in Learning: Assessing Effectiveness and Overcoming Challenges in the Age of Industry 4.0,” J. Apar., vol. 8, no. 1, pp. 52–68, 2024, doi: 10.52596/ja.v8i1.243.
L. K. Dewi and N. I. Lahizha, “Integrasi Artificial Intelligence (AI) dalam Sistem Pembelajaran Adaptif untuk Meningkatkan Belajar Mandiri Mahasiswa,” JIIP - J. Ilm. Ilmu Pendidik., vol. 8, no. 9, pp. 10916–10921, 2025, doi: 10.54371/jiip.v8i9.9327.
L. Parn, T. Mariyanti, and A. Widyakto, “Optimalisasi E-Learning dengan AI Adaptif untuk Pendidikan Inklusif,” J. MENTARI Manajemen, Pendidik. dan Teknol. Inf., vol. 3, no. 2, pp. 168–176, 2025, doi: 10.33050/mentari.v3i2.768.
D. Yani and K. Kusrini, “Metode Machine Learning dan Deep Learning dalam Prediksi Kinerja Siswa: Tinjauan Sistematis,” G-Tech J. Teknol. Terap., vol. 9, no. 1, pp. 530–539, 2025, doi: 10.70609/gtech.v9i1.6501.
A. Usman and F. Faradina, “Optimalisasi Peran AI dan Learning of Thinking (LOT) dalam pembelajaran fisika untuk Meningkatkan Kemandirian Belajar Siswa,” KUANTUM J. Pembelajaran dan Sains Fis., vol. 6, no. 1, pp. 54–65, 2025, doi: 10.63976/kuantum.v6i1.829.
S. Supriadi, A. Zulfaidah, M. Nasir, and S. T. Dhayinta, “Pengaruh Media Pembelajaran Berbasis Kecerdasan Buatan Terhadap Keterampilan Berpikir Kritis dan Hasil Belajar PPKn Siswa di SMA,” Pema, vol. 5, no. 2, pp. 684–690, 2025, doi: 10.56832/pema.v5i2.1253.
G. F. Ayuningtyas, H. K. Fahranie, I. Muslimah, S. Hadiansyah, S. Elzahra, and B. Setiawan, “Pengaruh Penggunaan AI Terhadap Peningkatan Critical Thinking Mahasiswa Teknologi Pendidikan,” Action Res. J. Indones., vol. 6, no. 4, 2024, doi: 10.61227/arji.v6i4.234.
Y. A. Putri and N. Trisnawati, “Pengaruh Penggunaan Chat GPT , Regulasi Diri Dan Dukungan Sosial Teman Sebaya Terhadap Self Efficacy Mahasiswa Pendidikan Administrasi Perkantoran,” J. Ilm. Profesi Pendidik., vol. 10, no. 4, pp. 3067–3073, 2025.
M. Yanto, Mad Sa’I, and Nailatur Rizqiyah, “Personalisasi Pendidikan Berbasis AI dalam Meningkatkan Kualitas Belajar Siswa,” Entita J. Pendidik. Ilmu Pengetah. Sos. dan Ilmu-Ilmu Sos., pp. 507–522, 2025, doi: 10.19105/ejpis.v1i.19116.
F. Amir and A. Saddia, “Penerapan Model Pembelajaran Advance Organizer Berbantuan Artificial Intelligence (Ai) Terhadap Peningkatan Pemahaman Konsep Mahasiswa Pendidikan Fisika Universitas Sulawesi Barat,” J. Teknol. Pendidik., vol. 17, no. 2, p. 89, 2024, doi: 10.24114/jtp.v17i2.64902.
Azmy Ali Muchtar, Meza Fitri Dini, and Siti Khairunnisa, “Integrasi Artificial Intelligence (AI) dalam Pembelajaran Personal: Dampaknya Terhadap Motivasi dan Hasil Belajar Siswa di SMAN 1 Pare,” Al-Ubudiyah J. Pendidik. dan Stud. Islam, vol. 6, no. 1, pp. 257–261, 2025, doi: 10.55623/au.v6i1.409.
I. Marsithah, P. Nadila, C. Ramadani, and A. Putri, “Pengaruh Artificial Intellegincies/ Ai Terhadap Prestasi Mahasiswa UMUSLIM,” J. Komputer, Inf. dan Teknol., vol. 4, no. 2, p. 9, 2024, doi: 10.53697/jkomitek.v4i2.2121.
M. K. Ali, A. M. Ali, F. F. Ali, and R. I. Ali, “Peningkatan Kualitas Pembelajaran Siswa SMA Sederajat Menggunakan Media Pembelajaran Berbasis Teknologi Kecerdasan Buatan,” Cognoscere J. Komun. dan Media Pendidik., 2025, doi: 10.61292/cognoscere.252.
M. R. Suryawijaya, S. Praptodiyono, and S. N. A’kaasyah, “Peran Kecerdasan Buatan dalam Mengembangkan Kompetensi dan Meningkatkan Motivasi Belajar Mahasiswa,” Inform. J. Ilmu Komput., vol. 21, no. 2, pp. 155–165, 2025, doi: 10.52958/iftk.v21i2.11115.
S. HS and S. S, “Efektivitas Artificial Intelegence (AI) pada Pembelajaran Sains dan Agama untuk Meningkatkan Kemandirian Belajar Mahasiswa,” Pros. Semin. Nas. Fak. Tarb. dan Ilmu Kegur. IAIM Sinjai, vol. 3, pp. 18–25, 2024, doi: 10.47435/sentikjar.v3i0.3135.
G. Kurniawan, A. Afriano, and D. A. E. Putri, “Pengaruh Ai dan Mind Mapping terhadap Pemahaman Materi dan Motivasi Belajar Mahasiswa Pendidikan Ekonomi,” JIM J. Ilm. Mhs. Pendidik. Sej., vol. 10, no. 1, pp. 123–129, 2025, doi: 10.24815/jimps.v10i1.33875.
E. B. Santosa, “Implementasi Data Mining Self Regulated Learning Siswa pada Lingkungan Belajar Daring di Perguruan Tinggi,” Edudikara J. Pendidik. dan Pembelajaran, vol. 5, no. 2, pp. 123–132, 2020, doi: 10.32585/edudikara.v5i2.218.
A. Amanullah, “Enhancing Student Learning Motivation: An Artificial Intelligence Framework Grounded in Motivational Theory,” SiRad: Pelita Wawasan, pp. 319–336, 2025, doi: 10.64728/sirad.v1i3.art11.
Miftakhuddin, D. Eriawandi, and M. R. Fahmi, “Efektivitas microlearning berbasis AI dalam meningkatkan daya serap mahasiswa,” J. Inf. Technol. Eng. Sci., vol. 4, no. 2, 2025, doi: 10.63494/jites.v4i2.272.
Miftakhuddin, M. R. Fahmi, and D. Eriawandi, “AI-driven adaptive learning: Personalisasi dalam pembelajaran berbasis psikologi kognitif di perguruan tinggi,” J. Inf. Technol. Eng. Sci., vol. 4, no. 2, 2025, doi: 10.63494/jites.v4i2.269.
A. Alfa and Farhana, “Motif dan Dampak Penggunaan Chat GPT di Era Digital pada Mahasiswa,” J. Rev. Pendidik. dan Pengajaran, vol. 8, pp. 6959–6968, 2025.
S. C. Relmasira, “Penggunaan Learning Experience Network Analysis (LENA) dalam Evaluasi Pembelajaran Mendalam: Studi Kasus Pengembangan Literasi AI Siswa Sekolah Dasar di Indonesia,” J. Pendidik. Sains dan Komput., vol. 5, no. 01, pp. 125–131, 2025, doi: 10.47709/jpsk.v5i01.5528.
M. Fadhilah and K. Isma Nuriza, “Efektivitas Pembelajaran Berbasis AI dan Augmented Reality dalam Meningkatkan Literasi Digital dan Fungsi Eksekutif Otak Siswa SD: Tinjauan Literatur Sistematis,” GHANCARAN J. Pendidik. Bhs. dan Sastra Indones., 2025, doi: 10.19105/ghancaran.vi.21670.
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