Kecerdasan Buatan Generatif dalam Transformasi Pendidikan Kontemporer: Kajian Pustaka Kritis terhadap Implikasi Pedagogis
Keywords:
Kecerdasan Buatan Generatif, Transformasi Pendidikan, Pedagogi, Literasi AIAbstract
Perkembangan kecerdasan buatan generatif telah membawa perubahan signifikan dalam praktik pendidikan kontemporer, mulai dari pembelajaran, personalisasi, peran pendidik, hingga asesmen dan integritas akademik. Penelitian ini bertujuan menganalisis secara kritis implikasi pedagogis kecerdasan buatan generatif dalam transformasi pendidikan kontemporer. Penelitian menggunakan pendekatan kajian pustaka kritis dengan menelaah literatur ilmiah yang relevan, terutama publikasi lima tahun terakhir. Analisis dilakukan melalui tahap identifikasi, seleksi, ekstraksi, kategorisasi, dan sintesis kritis terhadap temuan penelitian. Hasil kajian menunjukkan bahwa kecerdasan buatan generatif berpotensi mendukung personalisasi pembelajaran, menyediakan umpan balik, meningkatkan efisiensi pembelajaran, dan memperluas peran teknologi sebagai pendamping proses belajar. Namun, pemanfaatannya juga menghadirkan tantangan berupa ketergantungan teknologi, integritas akademik, bias, privasi, kesenjangan akses, dan kebutuhan literasi kecerdasan buatan. Dengan demikian, transformasi pedagogis tidak ditentukan oleh penggunaan teknologi semata, tetapi oleh integrasi yang terarah, kritis, etis, dan berpusat pada manusia.
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Abedin, M. Z., Hayajneh, A., & Raahemi, B. (2026). Pedagogical Use of Responsible Generative AI in Higher Education; Opportunities and Challenges: A Systematic Literature Review. Ai in Education, 2(2), 11. https://doi.org/10.3390/aieduc2020011
Adamakis, M., & Rachiotis, T. (2025). Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration. Encyclopedia, 5(4), 180. https://doi.org/10.3390/encyclopedia5040180
Aggarwal, D. (2026). From Algorithms to Tutors: Tracing the Evolution of Generative AI in Education. https://doi.org/10.21203/rs.3.rs-8316595/v1
Ardito, C. G. (2024). Generative AI Detection in Higher Education Assessments. New Directions for Teaching and Learning, 2025(182), 11–28. https://doi.org/10.1002/tl.20624
Auna, H. S. A., & Hamzah, N. (2024). Studi Perspektif Siswa Terhadap Efektivitas Pembelajaran Matematika Dengan Penerapan Chatgpt. Hinef, 3(1), 13–25. https://doi.org/10.37792/hinef.v3i1.1160
Basyah, N. A., Fahmi, I., Ali, I., & Anggraini, I. (2023). Optimalisasi Penyuluhan Literasi Komputer Sebagai Strategi Pemanfaatan Media Sosial Di Banda Aceh. Abdikan Jurnal Pengabdian Masyarakat Bidang Sains Dan Teknologi, 2(3), 316–321. https://doi.org/10.55123/abdikan.v2i3.1972
Bouchereau, A., & Roxin, I. (2022). Usages De L’apprentissage Artificiel Pour L’éducation. Communication Technologies Et Développement, 12. https://doi.org/10.4000/ctd.7955
Cerisier, J., & Pierrot, L. (2022). La Régulation Des Activités Scolaires Numériques Des Élèves Par L’enseignant : Le Cas D’une Application D’apprentissage Adaptatif. Communication Technologies Et Développement, 12. https://doi.org/10.4000/ctd.8103
Chevret-Castellani, C., Labelle, S., & Remond, É. (2022). Editorial. Communication Technologies Et Développement, 12. https://doi.org/10.4000/ctd.8298
Collin, S. M., Lepage, A., & Nebel, L. (2024). Enjeux Éthiques Et Critiques De L’intelligence Artificielle en Éducation : Une Revue Systématique De La Littérature. Canadian Journal of Learning and Technology, 49(4), 1–29. https://doi.org/10.21432/cjlt28448
Egger, D., Brauns, S., Sellin, K., Barth, M., & Abels, S. (2020). Professionalisierung Von Lehramtsstudierenden Für Inklusiven Naturwissenschaftlichen Unterricht. Journal Für Psychologie, 27(2), 50–70. https://doi.org/10.30820/0942-2285-2019-2-50
Feigerlová, E., Hani, H., Lopes, R. G., Zuily, S., & Braun, M. (2020). COVID-19 : Quelques Pistes Pour Un Nouvel Environnement D’enseignement Et D’apprentissage en Contexte De Mise À Distance Des Enseignants Et Des Étudiants en Médecine. Pédagogie Médicale, 21(4), 187–193. https://doi.org/10.1051/pmed/2020048
Fitriyani, F., & Nugroho, A. T. (2022). Literasi Digital Di Era Pembelajaran Abad 21. Literasi Jurnal Pengabdian Masyarakat Dan Inovasi, 2(1), 307–314. https://doi.org/10.58466/literasi.v2i1.1416
Ganaie, N. A. (2026). Generative Artificial Intelligence and the Transformation of Higher Education, a Systematic Review. https://doi.org/10.21203/rs.3.rs-10636151/v1
Ganbour, M. E., Haja, Z., Annaki, I. A., Bouchentouf, T., & Belouali, S. (2024). Enseigner Et Apprendre en Contexte D’urgence Sanitaire : Conception D’une Plateforme Intelligente Et Ethique Pour L’apprentissage Humain. East African Journal of Education Studies, 7(1), 17–27. https://doi.org/10.37284/eajes.7.1.1693
García‐Peñalvo, F. J., Largo, F. L., & Vidal, J. (2023). La Nueva Realidad De La Educación Ante Los Avances De La Inteligencia Artificial Generativa. Ried Revista Iberoamericana De Educación a Distancia, 27(1), 9–39. https://doi.org/10.5944/ried.27.1.37716
Gérard, L., & Rubio, A. A. (2020). Sources D’influence De L’engagement Des Étudiants Dans Un Dispositif De Classe Inversée À L’université : Le Cas De PedagInnov. Revue Internationale De Pédagogie De L’enseignement Supérieur, 36(1). https://doi.org/10.4000/ripes.2212
Ghomi, M., Sorge, S., & Mühling, A. (2022). Die Zukunft Des MINT-Unterrichts Aus Der Perspektive Der Schulpraxis. 59–72. https://doi.org/10.1007/978-3-662-66131-4_3
Giansanti, D., & Cosenza, C. (2026). Artificial Intelligence and Youth: Cognitive, Educational, and Behavioral Impacts. Ai, 7(4), 121. https://doi.org/10.3390/ai7040121
Haris, H., Darwis, M. R., Arsyanda, JY, M. R. W., & Ilham, M. (2024). Analisis Dampak Literasi Artificial Intelligence Terhadap Perubahan Norma Dan Etika Akademik Mahasiswa. Jurnal Pendidikan Terapan, 66–77. https://doi.org/10.61255/jupiter.v2i1.200
Hein, L., Högemann, M., Illgen, K.-M., Stattkus, D., Kochon, E., Reibold, M.-G., Eckle, J., Seiwert, L., Beinke, J. H., Knopf, J., & Thomas, O. (2024). ChatGPT Als Unterstützung Von Lehrkräften – Einordnung, Analyse Und Anwendungsbeispiele. HMD Praxis Der Wirtschaftsinformatik, 61(2), 449–470. https://doi.org/10.1365/s40702-024-01052-9
Höflich, S. (2024). “KInklusion.” Schule Verantworten | Führungskultur_innovation_autonomie, 4(1). https://doi.org/10.53349/schuleverantworten.2024.i1.a415
Huan, S., & Wang, Y. (2022). Exploration on the Integration of Ideological and Political Education Elements in Analytical Chemistry (1) Course. University Chemistry, 0(0), 2201000–2201006. https://doi.org/10.3866/pku.dxhx202201006
Isdayani, B., & Thamrin, A. N. (2024). Implementasi Etika Penggunaan Kecerdasan Buatan (AI) Dalam Sistem Pendidikan Dan Analisis Pembelajaran Di Indonesia. Digital Transformation Technology, 4(1), 714–723. https://doi.org/10.47709/digitech.v4i1.4512
Judijanto, L., Riyanti, A., Adel, A. A., Maharani, A., & SAMSIDAR, S. (2026). Analisis Tingkat Berpikir Mahasiswa Terkait Literasi Komputer Dalam Konteks Pendidikan. Journal of Vocational Informatics and Computer Education, 102–116. https://doi.org/10.61220/voice.v1i2.20241
Klar, M., & Schleiß, J. (2024). Künstliche Intelligenz Im Kontext Von Kompetenzen, Prüfungen Und Lehr-Lern-Methoden. Medienpädagogik Zeitschrift Für Theorie Und Praxis Der Medienbildung, 58, 41–57. https://doi.org/10.21240/mpaed/58/2024.03.24.x
Kuo, B., Fan, Y., & Liao, C. (2026). Constructing and Validating the AIPACK Scale: Measuring Teachers’ AI Pedagogical Content Knowledge. European Journal of Education, 61(1). https://doi.org/10.1111/ejed.70464
Laferrière, T., & Cox, M. (2021). Editorial: Systemic Perspectives on New Alignments During COVID-19: Digital Challenges and Opportunities. Canadian Journal of Learning and Technology, 47(4). https://doi.org/10.21432/cjlt28158
Lepage, A., & Roy, N. (2023). Une Recension Des Écrits De 1970 À 2022 Sur Les Rôles De L’enseignant Et De L’intelligence Artificielle Dans Le Domaine De L’IA en Éducation. Médiations Et Médiatisations, 16, 9–29. https://doi.org/10.52358/mm.vi16.304
Li, X., & Awang, M. M. B. (2026). Exploring the Role of Generative AI in Developing Student Skills in Higher Education: A Systematic Literature Review. European Journal of Education, 61(1). https://doi.org/10.1111/ejed.70490
Lison, C., & Verchier, Y. (2023). De l’Intelligence Artificielle À l’Humain Ou Vice Versa. Revue Internationale De Pédagogie De L’enseignement Supérieur, 39(2). https://doi.org/10.4000/ripes.4613
Mallary, K. J., Moore, E. G., & McClain, A. L. (2025). Artificial Intelligence and Universal Design for Learning: Transforming Teaching and Learning in Adult and Continuing Higher Education. New Directions for Adult and Continuing Education, 2025(188), 39–47. https://doi.org/10.1002/ace.70016
Meyer, E., & Weßels, D. (2023). Natural Language Processing Im Akademischen Schreibprozess - Mehr Motivation Durch Inspiration? 227–252. https://doi.org/10.14361/9783839457696-013
Mursyidah, N., & Muḥammad, M. (2023). Arah Baru Pembelajaran Pada Mahasiswa Di Era Society 5.0. Jurnal Pembelajaran Dan Matematika Sigma (Jpms), 9(1), 14–20. https://doi.org/10.36987/jpms.v9i1.3829
Natalia, A., & Maulidya, E. N. (2023). Aktualisasi Empat Pilar Sustainable Development Goals (SDGs) Di Perdesaan Kecamatan Natar Kabupaten Lampung Selatan. Jiip Jurnal Ilmiah Ilmu Pemerintahan, 8(1), 21–41. https://doi.org/10.14710/jiip.v8i1.16513
Ni, W., & Li, J. C. (2026). Mapping the Impact of Generative AI in Higher Education: A Scoping Review of Psychological and Equity Dimensions. Frontiers in Psychology, 17. https://doi.org/10.3389/fpsyg.2026.1856854
Nurhayati, R., Nur, T. B., Sudirman, P., Adillah, N., & Urva, M. (2024). Dinamika Pembelajaran Pendidikan Agama Islam Berbasis Artificial Intelligence (AI). Prosiding Seminar Nasional Fakultas Tarbiyah Dan Ilmu Keguruan Iaim Sinjai, 3, 1–7. https://doi.org/10.47435/sentikjar.v3i0.3131
Payant, C., & Kim, Y. (2022). Writing Pedagogy With Linguistically Diverse Language Learners and Users: The Nexus of Multilingualism, Multiliteracies and Multimodalities. Canadian Journal of Applied Linguistics, 25(3), i–xix. https://doi.org/10.37213/cjal.2022.33398
Rachbauer, T. (2024). Chancen Und Potenziale Von Künstlicher Intelligenz (KI) Und Learning Analytics (LA) Auf Inklusive Begabungsförderung. Schule Verantworten | Führungskultur_innovation_autonomie, 4(1). https://doi.org/10.53349/schuleverantworten.2024.i1.a390
Reiche, H. (2023). Virtuelle Und Hybride Fremdsprachenlehre. https://doi.org/10.26530/20.500.12657/63103
Saz-Pérez, F., & Pizà-Mir, B. (2023). Desafiando El Estado Del Arte en El Uso De ChatGPT en Educación en El Año 2023. Reire Revista D Innovació I Recerca En Educació, 17(1), 1–13. https://doi.org/10.1344/reire.44018
Sejdiu, N. P., Grassini, S., & Sejdiu, S. (2026). Generative AI in Education: Process-Aware Pedagogy, Assessment Integrity, and Institutional Governance. Open Research Europe, 6, 161. https://doi.org/10.12688/openreseurope.23343.1
Şenturk, R. (2023). Die Rolle Künstlicher Intelligenz Beim Deutsch Als Fremdsprachenlernen: Eine Untersuchung Am Beispiel Von ChatGPT. Diyalog Interkulturelle Zeitschrift Für Germanistik, 11(2), 405–430. https://doi.org/10.37583/diyalog.1404207
Simanjuntak, W., Subagyo, A., & Sufianto, D. (2024). Peran Pemerintah Dalam Implementasi Artificial Intelligence (Ai) Di Kementerian Komunikasi Dan Informatika Republik Indonesia (Kemenkominfo Ri). Journal of Social and Economics Research, 6(1), 1–15. https://doi.org/10.54783/jser.v6i1.332
Sukirman, S., Zaenuri, M., & Hasanah, L. Q. (2023). Pengembangan Rencana Pembelajaran Semester (RPS) Mata Kuliah Mahārat Al-Istimā‘ Berbasis Kecakapan Abad 21. Al-Ma Rifah, 20(1). https://doi.org/10.21009/almakrifah.20.01.01
Sukmasetya, P., Dwihantoro, P., Primadewi, A., Maimunah, M., Yudiyanto, R. A., Hasani, R. A., Arthalia, I., & Muthi’ah, S. A. (2022). Pendampingan Pembelajaran Literasi, Numerasi, Dan Adaptasi Teknologi Pada Masa Pandemi Covid-19 Di SDN 2 Kutorembet. Jurnal Altifani Penelitian Dan Pengabdian Kepada Masyarakat, 2(6), 530–537. https://doi.org/10.25008/altifani.v2i6.291
Susanti, E., & Nurhamidah, D. (2022). Pembelajaran Produktif Berbasis Literasi Digital Pada Mahasiswa Bipa (Bahasa Indonesia Untuk Penutur Asing). Diksa Pendidikan Bahasa Dan Sastra Indonesia, 8(1), 68–75. https://doi.org/10.33369/diksa.v8i1.22658
Tillmanns, T., Filho, A. S., Rudra, S., Weber, P. J., Dawitz, J., Wiersma, E., Dudenaite, D., & Reynolds, S. (2025). Mapping Tomorrow’s Teaching and Learning Spaces: A Systematic Review on GenAI in Higher Education. Trends in Higher Education, 4(1), 2. https://doi.org/10.3390/higheredu4010002
Triwiyanto, T., Kusumaningrum, D. E., & Sobri, A. Y. (2024). Hambatan Implementasi Sistem Manajemen Akuntabilitas Di Sekolah Dasar Negeri. Scholaria Jurnal Pendidikan Dan Kebudayaan, 14(2), 119–132. https://doi.org/10.24246/j.js.2024.v14.i2.p119-132
Uijl, S. G., Verhagen, P., Wiersma, E. M., Geluk, H., Oomens, G., & Boor, I. (2026). Educating in the Age of GenAI: Exploring AI Literacy Through Mutual Reinforcement in Higher Education. Trends in Higher Education, 5(2), 47. https://doi.org/10.3390/higheredu5020047
Utaminingsih, E. S., Ellianawati, E., Widiarti, N., Sumartiningsih, S., & Puspita, M. A. (2023). A Systematic Review: Digital Literacy for Strengthening Character in Facing the Era of Society 5.0. Research and Development Journal of Education, 9(2), 638. https://doi.org/10.30998/rdje.v9i2.15173
Webb, M., & Galamba, A. (2026). Transforming Pedagogy With GenAI ‐supported Formative Assessment: Challenges for Teacher Education. British Journal of Educational Technology, 57(3), 690–706. https://doi.org/10.1111/bjet.70051
Yan, R., & Wen, R. (2025). Generative AI in Chinese Early Childhood Education. International Journal of Teacher Education and Professional Development, 8(1), 1–23. https://doi.org/10.4018/ijtepd.382379
Yaneri, A., & Deswanti, A. D. (2021). Analisis Kesetaraan Gender Dan Inklusi Sosial Pada Program Perlindungan Sosial : Studi Kasus Bantuan Sosial Tunai Covid-19 Di Kabupaten Bandung Barat. Pekerjaan Sosial, 20(1), 70–84. https://doi.org/10.31595/peksos.v20i1.381
Youssef, É., & Audran, J. (2019). La Personnalisation De L’apprentissage Vue Comme Facteur Effectif D’innovation Pédagogique. Spirale - Revue De Recherches En Éducation, N° 63(1), 157–172. https://doi.org/10.3917/spir.063.0157
Zhai, Q., Xue, D., Wei, L., Hu, M., & Gao, S. (2022). Highlighting “Professional-Ability-Quality Integration” Is the Core to Promote Inorganic Chemistry Curriculum Design: Reconstructing “Basic Inorganic Chemistry” Teaching Design. University Chemistry, 0(0), 2208119. https://doi.org/10.3866/pku.dxhx202208119
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