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All Journal Jurnal Pendidikan Indonesia Harmoni Sosial: Jurnal Pendidikan IPS Mozaik Humaniora Jurnal Humanitas: Katalisator Perubahan dan Inovator Pendidikan Jurnal Pendidikan Sejarah Visipena Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Fajar Historia: Jurnal Ilmu Sejarah dan Pendidikan Jurnal Pendidikan Sejarah Indonesia Didaktika: Jurnal Kependidikan Jurnal Pengabdian kepada Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Pengabdian Mandiri Historiography Jurnal Ragam Pengabdian Aksi Kita: Jurnal Pengabdian Kepada Masyarakat PERIODE: Jurnal Sejarah dan Pendidikan Sejarah Indonesia Berdampak: Jurnal Pengabdian Kepada Masyarakat
Nurzengky Ibrahim
Pascasarjana Universitas Negeri Jakarta
Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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The Use of Artificial Intelligence in History Learning: A Systematic Literature Review Agus Rahmat Mahmudi; Nadya Tridrisna Manurung; Nurzengky Ibrahim; Andy Suryadi
Fajar Historia: Jurnal Ilmu Sejarah dan Pendidikan Vol 10 No 2 (2026): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/fhs.v10i2.34717

Abstract

This systematic literature review synthesizes empirical and conceptual scholarship on the application of AI-in history education between 2020 and 2026, interrogating research trends, pedagogical affordances, ethical risks, and policy implications. Employing a PRISMA-guided search across SCOPUS, Web of Science, and ERIC and a PICOC-framed analytic scope, the study screened 312 records (after deduplication) and conducted in-depth analysis of 10 peer-reviewed articles using thematic synthesis, bibliometric mapping, and quality appraisal (CASP). Findings indicate a clear disciplinary trajectory from conceptual explorations toward classroom-embedded uses of generative AI and learning analytics, with demonstrated benefits in student engagement, adaptive feedback, dialogic inquiry, and immersive simulation design that can scaffold elements of historical thinking. However, the corpus reveals persistent limitations: small-scale designs, Western-centric datasets, epistemic misalignments with historical heuristics (sourcing, contextualization, evidentiary weighting), algorithmic bias, opacity, and equity gaps that risk historiographical flattening and the reproduction of structural inequalities. The review concludes that AI’s pedagogical value in history depends on three interlocking priorities targeted teacher professional development integrating digital and historiographical literacies, context-sensitive governance ensuring explainability and data justice, and ethical-by-design AI architectures with traceable source attribution to safeguard epistemic rigor and inclusive learning outcomes.
Co-Authors Agus Rahmat Mahmudi Ahmad Musyalen Firdaus Ajeng Ginanjar Andy Suryadi Anggi Saputri Ardhy Yuwono Arifin Maksum Arita Marini Choiriyah Fitriyani Desy Safitri Fikri Pratama Gemilang Gesia Mira Urlialy Humaidi Humaidi Ika Lestari Inda Syahra Iqbal Pratama Iqbal Pratama Jeremy Christian Karamoy Khaeruddin, Khaeruddin Kurniawati Kurniawati Lutfia Alfityanti M Fakhruddin M Fakhruddin Maratun Nafiah Maulana Yusuf A, Moh. Namiraz Prananda Muhammad Fakhruddin Musril Zahari Nadine Rifa Riady Nadya Tridrisna Manurung Neli Filhi Lijulli Afni Neli Filhi Lijulli Afni Pamela Ayesma Pratama, Rinaldo Adi Sarkadi, Sarkadi Siti Nurfadilah Sri Martini Sri Nuraini Sujarwo Sujarwo Sutrisno Sutrisno Triasih Kartikowati Umasih Umasih Umasih Umasih Veriesa Auliya Utami Yustia Suntari Zulela Ms