Kerangka teoretis pembelajaran personalisasi berbasis AI untuk perguruan tinggi: analisis konseptual

  • Alzet Rama 
    Universitas Negeri Padang
    Indonesia
  • andri Dermawan
    Universitas Negeri Padang
    Indonesia
  • Nova Chintia Rahma
    Universitas Negeri Padang
    Indonesia
  • Meila Rosi Putri
    Universitas Negeri Padang
    Indonesia

Abstract

Perkembangan teknologi digital yang pesat, seperti penggunaan kecerdasan buatan (AI) dalam pendidikan, secara drastis mengubah pendidikan tinggi.  Efektivitas pembelajaran terhambat oleh pendekatan satu ukuran untuk semua dalam pendidikan massal, yang sering mengabaikan kebutuhan beragam siswa.  Melalui integrasi sistem rekomendasi, analisis pembelajaran, dan algoritma adaptif, penelitian ini bertujuan untuk menciptakan kerangka kerja teoretis berbasis AI yang akan meningkatkan pembelajaran yang disesuaikan dalam pendidikan tinggi.  Studi ini menggunakan pendekatan konseptual, menggabungkan alat kecerdasan buatan (AI) seperti machine learning dan pemrosesan bahasa alami (NLP) dengan konsep pedagogis seperti konstruktivisme dan andragogi.  Hasil penelitian menunjukkan bahwa AI memungkinkan pengalaman belajar yang dinamis dan berpusat pada siswa, seperti umpan balik instan, rekomendasi sumber daya yang disesuaikan, dan modifikasi kurikulum secara real-time.  Namun, masalah seperti bias algoritmik, privasi data, dan ketidakseimbangan infrastruktur membuat implementasi menjadi sulit. Meskipun konsekuensi praktis menekankan pentingnya kerja sama antara pendidik, pengembang teknologi, dan pembuat kebijakan, implikasi teoretis menyoroti kebutuhan akan metode multidisiplin dalam mengintegrasikan kecerdasan buatan (AI) dengan konsep pedagogis.  Kesimpulannya, jika AI diterapkan dengan teknik berorientasi manusia dan tata kelola etis, ia memiliki potensi untuk secara signifikan meningkatkan inklusivitas dan fleksibilitas sistem pendidikan.
Keywords
  • Artificial Intelligence (AI)
  • Personalized Learning
  • Higher Education
  • Machine Learning
  • Natural Language Processing (NLP)
References
  1. Abdurohman, N. R. (2024). Artificial Intellegent In Higher Education: Opportunities and Challenges. Eurasian Science Review An International Peer-Reviewed Multidisciplinary Journal, 2(Special Issue), 1683–1695.
  2. Adha, L. A. (2020). Digitalisasi industri dan pengaruhnya terhadap ketenagakerjaan dan hubungan kerja di Indonesia. Jurnal Kompilasi Hukum, 5(2), 267–298.
  3. Afzaal, M., Zia, A., Nouri, J., & Fors, U. (2024). Informative feedback and explainable AI-based recommendations to support students’ self-regulation. Technology, Knowledge and Learning, 29(1), 331–354.
  4. Aggarwal, D., Sharma, D., & Saxena, A. B. (2023). Exploring the role of artificial intelligence for augmentation of adaptable sustainable education. Asian Journal of Advanced Research and Reports, 17(11), 179–184.
  5. Aggarwal, D., Sharma, D., & Saxena, A. B. (2024). A Comprehensive Analysis on the Application of Natural Language Processing (NLP) in Higher Education. 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 897–904.
  6. Ahmed, Z. E., Hashim, A. H. A., Saeed, R. A., & Saeed, M. M. A. (2024). AI-Enhanced Education: Bridging Educational Disparities. In AI-Enhanced Teaching Methods (pp. 88–107). IGI Global.
  7. Ahmetya, A. R., Setyaningrum, I., & Tanaya, O. (2023). Era Baru Ketenagakerjaan: Fleksibilitas Pekerja Digital Pada Era Revolusi Industri 4.0. Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton, 9(4), 1001–1015.
  8. Akhmad, A., Badruddin, S., Januaripin, M., Salwa, S., & Gaspersz, V. (2024). Inovasi dalam manajemen pendidikan tinggi: Membangun masa depan yang berkelanjutan. PT. Sonpedia Publishing Indonesia.
  9. Alabsi, H. Z., Almotairi, M., Alqahtani, Y., & Alyami, M. A. (2023). Enhancing students’ job seeking process through a digital badging system. 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA), 276–281.
  10. Aleksieva, M., & Dimitrova, Z. (2024). EDUCATION IN THE CONDITIONS OF DIGITAL TRANSFORMATION AND ADAPTATION TO THE STANDARDS OF THE UNIVERSITY OF THE FUTURE. SCIENCE International Journal, 3(2), 33–37.
  11. Alenezi, M., Wardat, S., & Akour, M. (2023). The need of integrating digital education in higher education: Challenges and opportunities. Sustainability, 15(6), 4782.
  12. Alhawiti, K. M. (2014). Natural language processing and its use in education. International Journal of Advanced Computer Science and Applications, 5(12).
  13. Amara, K., Altinay, F., Altinay, Z., & Dagli, G. (2024). Artificial intelligence and sustainable educational systems. In Computational Intelligence and Blockchain in Complex Systems (pp. 199–204). Elsevier.
  14. Ambarita, N., & Nurrahmatullah, M. F. (2024). Impacts of artificial intelligence on student learning: A systematic literature review. Jurnal Varidika, 13–30.
  15. Amsal, M. F., & Sagita, D. D. (2024). Utilization of Artificial Intelligence (AI) in Learning for College Students. Pedagogi: Jurnal Ilmu Pendidikan, 24(2), 275–282.
  16. Anjani, K. T., Rufaidah, A., & Hidayat, N. (2024). Integrasi Teknologi dan Humanisme: Menuju Penguatan Kualitas Pendidikan Tinggi di Era Society 5.0. JIIP-Jurnal Ilmiah Ilmu Pendidikan, 7(5), 4906–4911.
  17. Anwar, N., Anderson, J., & Williams, T. (2024). Applying Data Science to Analyze and Improve Student Learning Outcomes in Educational Environments. International Transactions on Education Technology (ITEE), 3(1), 72–83.
  18. Anwar, S. (2019). Revolusi industri 4.0 Islam dalam merespon tantangan teknologi digitalisasi. Jurnal Studi KeIslaman, 8(2), 16–28.
  19. Asano, Y. M., Rupprecht, C., Zisserman, A., & Vedaldi, A. (2021). Pass: An imagenet replacement for self-supervised pretraining without humans. ArXiv Preprint ArXiv:2109.13228.
  20. Asri, A. (2024). Utilization of Artificial Intelligence in Improving Student Achievement. Paradoks: Jurnal Ilmu Ekonomi, 7(4), 451–465.
  21. Asri, O. S., & Nuroh, E. Z. (2023). Teacher strategies for teaching slow learners in low-grade primary schools. Journal Of Teaching And Learning In Elementary Education, 6(2), 129.
  22. Asrifan, A., Shafa, S., Octaberliana, L. R., Ersyad, Z. M., Hermansyah, S., & Amri, N. A. (2025). AI-Driven Innovations in Pedagogical and Andragogical Approaches: A Case Study Analysis. In Integrating AI Into Pedagogical Education (pp. 211–240). IGI Global Scientific Publishing.
  23. Baule, S. M., & O’Connell, J. S. (2025). Harnessing Generative AI for Educator Professional Development. In Teachers’ Roles and Perspectives on AI Integration in Schools (pp. 77–114). IGI Global Scientific Publishing.
  24. Blaz, D. (2023). Differentiated instruction: A guide for world language teachers. Routledge.
  25. Bode, S. P., & Satpute, R. S. (2024). Natural Language Processing in Education System. 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI), 1–5.
  26. Chaudhry, M. A., Cukurova, M., & Luckin, R. (2022). A transparency index framework for AI in education. International Conference on Artificial Intelligence in Education, 195–198.
  27. Chekirine, D., & Zoubida, S. (2024). Artificial intelligence’s impact on higher education quality. Journal of Science and Knowledge Horizons, 4(1), 606–623.
  28. Chronopoulos, D. (2018). Delivering quality along with quantity: the challenge of teaching a large and heterogeneous engineering class. International Journal of Mechanical Engineering Education, 46(4), 331–344.
  29. Cota-Rivera, E. I., Correa, M. E. G., Marín, L. A. B., Montenegro, M. Y. M., Herrera, A. M., & Martinez, M. A. A. M. (2024). Transforming education with the power of artificial intelligence: Case studies. In Enhancing higher education and research with OpenAI models (pp. 113–140). IGI Global.
  30. da Silva, J. J. G., de Oliveira, M. L., & Da Silva, W. (2024). Tecnologias Educacionais e Personalização do Ensino: Desafios e Oportunidades. RCMOS-Revista Científica Multidisciplinar O Saber, 1(1).
  31. Darfiansa, L. S., Azzuri, F., Bachtiar, F. A., & Ratnawati, D. E. (2023). Comparative Analysis of Deep Learning and Machine Learning Techniques for Question Classification in Bloom’s Taxonomy. 2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC), 103–108.
  32. Degni, F. (2025). The Impact of Artificial Intelligence on Education: The Effectiveness of AI-Driven Educational Tools and Assessments. In Improving Student Assessment With Emerging AI Tools (pp. 55–94). IGI Global Scientific Publishing.
  33. Duarte, N., Pérez, Y. M., Beltran, A., & García, M. B. (2023). Use of artificial intelligence in education: A systematic review. The 4th South American International Conference on Industrial Engineering and Operations Management, Doi, 10.
  34. Dumbuya, E. (2023). Personalized Learning through Artificial Intelligence: Revolutionizing Education. Available at SSRN 5023248.
  35. Farooqi, M. T. K., Amanat, I., & Awan, S. M. (2024). Ethical considerations and challenges in the integration of artificial intelligence in education: A systematic review. Journal of Excellence in Management Sciences, 3(4), 35–50.
  36. Febriyanto, T., Dityasari, A., & Kartika, I. (2022). Sains-Teknologi-Islam-Masyarakat (STIM) Sebagai Inovasi Pembelajaran IPA Terintegrasi-Interkoneksi. Konferensi Integrasi Interkoneksi Islam Dan Sains, 89.
  37. Gobe, M. (2005). Emotional branding: paradigma baru untuk menghubungkan merek dengan pelanggan. Esensi.
  38. Grigoryeva, I. V, Tumanova, A. B., & Zharylgapov, Z. Z. (2021). Conceptual analysis: principles and approaches in teaching. Bulletin of the Karaganda University. Philology Series, 104(4), 133–138.
  39. Guspian, I., Noviyanti, I., & Aryansyah, A. F. (2024). Analisis Perkembangan Teknologi dan Tren Terkini Pada Platform Metaverse dalam Pendidikan: Perspektif Manajerial. Jurnal Riset Dan Inovasi Pembelajaran, 4(3), 1697–1714.
  40. Hamilton, A. (2024). Artificial intelligence and healthcare simulation: the shifting landscape of medical education. Cureus, 16(5).
  41. Hongli, Z., & Leong, W. Y. (2024). AI solutions for accessible education in underserved communities. Journal of Innovation and Technology, 2024.
  42. Idowu, E. (2024). Personalized Learning: Tailoring Instruction to Individual Student Needs. Preprints.
  43. Imran, M., Almusharraf, N., Ahmed, S., & Mansoor, M. I. (2024). Personalization of E-Learning: Future Trends, Opportunities, and Challenges. International Journal of Interactive Mobile Technologies, 18(10).
  44. Indra, M. H., Sutarto, S., Kharizmi, M., Nurmiati, A. S., & Susanto, A. (2023). Optimizing the Potential of Technology-Based Learning Increases Student Engagement. Al-Fikrah: Jurnal Manajemen Pendidikan, 11(2), 233–244.
  45. Inel, O., Draws, T., & Aroyo, L. (2023). Collect, measure, repeat: Reliability factors for responsible AI data collection. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 11, 51–64.
  46. Jain, L. R., & Menon, V. (2023). AI Algorithmic bias: Understanding its causes, ethical and social implications. 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), 460–467.
  47. Jiang, L. (2024). Research on the integration path and practice of AI intelligent technology and English distance education. Applied Mathematics and Nonlinear Sciences, 9(1), 1427.
  48. Joseph, O., Onwuzulike, O., & Shitu, K. (2024). Digital transformation in education: Strategies for effective implementation. World Journal of Advanced Research and Reviews. Https://Doi. Org/10.30574/Wjarr, 2.
  49. Kasmawati, Sofiyanurriyanti, Nasution, H., Sembiring, M. T., Putra, G., Pamungkas, I., & Irawan, H. T. (2023). A competence of graduate colleges to meet the industry 4.0: Literature review. AIP Conference Proceedings, 2482(1), 90011.
  50. Kaswan, K. S., Dhatterwal, J. S., & Ojha, R. P. (2024). AI in personalized learning. In Advances in technological innovations in higher education (pp. 103–117). CRC Press.
  51. Kataria, K. (2023). AI-powered learning: The future of education. International Journal of Advanced Research, 11(9), 199–203.
  52. Kerimbayev, N., Adamova, K., Jotsov, V., Shadiev, R., Umirzakova, Z., & Nurymova, A. (2024). Organization of Feedback in the Intelligent Learning Systems. 2024 IEEE 12th International Conference on Intelligent Systems (IS), 1–7.
  53. Khalil, M., Wong, J., Wasson, B., & Paas, F. (2024). Adaptive support for self‐regulated learning in digital learning environments. In British Journal of Educational Technology (Vol. 55, Issue 4, pp. 1281–1289). Wiley Online Library.
  54. Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y.-S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gašević, D. (2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, 3, 100074.
  55. Koimah, S. M., Zahra, N. A., Prasitini, E., Sasmita, S. K., & Sari, N. (2024). Implementasi pembelajaran berdiferensiasi untuk memenuhi kebutuhan belajar siswa yang beragam. Jurnal Ilmu Sosial Dan Budaya Indonesia, 2(2), 58–66.
  56. Kristantini, A., Permana, D., Kurniawan, A., & Fatwara, M. D. (2023). Sosialisasi IBIFest 4.0 Literasi Digital: Berpikir Kritis di Era Kekinian. Beujroh: Jurnal Pemberdayaan Dan Pengabdian Pada Masyarakat, 1(1), 20–26.
  57. Kurniadi, D. (2023). Designing and Developing of Learning Class Grouping Applications Base on Genetic Algorithms. Jurnal Teknologi Informasi Dan Pendidikan, 16(1), 109–126.
  58. Kuznietsov, Y., & Kuznietsova, T. (2024). Innovative models of vocational education: A symbiosis of artificial intelligence, neuropedagogy, and the competency-based approach. Professional Education: Methodology, Theory and Technologies, 1(10), 64–78.
  59. Lahiassi, J., Aammou, S., & Warraki, O. E. L. (2023). Enhancing personalized learning with a recommendation system in private online courses. Conhecimento & Diversidade, 15(39), 176–189.
  60. Laksono, C. F., Putri, A. E. P., & Anggraini, R. (2025). EFFECTIVE METHODS FOR IMPLEMENTING ARTIFICIAL INTELLIGENCE (AI) IN ENHANCING TEACHER EXPERTISE IN LEARNING. JATI (Jurnal Mahasiswa Teknik Informatika), 9(1), 750–772.
  61. Luspa, D. (2018). Mixed ability classes in EFL learning: Problems and solutions. Esteem Journal of English Education Study Programme, 1(1).
  62. Martínez, R. G., García, M. L. M., & Sánchez, T. A. (2023). Motivation and personalization of teaching with machine learning. Journal of Management and Business Education, 6(3), 330–342.
  63. Maulana, A., & Wiyono, D. Y. (2024). Adaptive material design supporting personalized education: Challenges and opportunities. JOURNAL OF TECHNOLOGY, EDUCATION & TEACHING (J-TECH), 1(2), 86–89.
  64. Mishara, P. (2024). The ethical implications of AI in education: privacy, bias, and accountability. J. Inform. Educ. Res, 4, 3550.
  65. Mohua, M. J., & Yusoff, W. F. W. (2022). Does a multifaceted view of intellectual capital influence the firm performance of readymade garment industries in Bangladesh? A conceptual analysis. Journal of International Business and Management, 5(10), 1–10.
  66. Morales-Chan, M., Amado-Salvatierra, H. R., & Hernandez-Rizzardini, R. (2024). Workshop: Educational Innovation Through Generative Artificial Intelligence: Tools, Opportunities, and Challenges. 2024 IEEE World Engineering Education Conference (EDUNINE), 1–2.
  67. Mukhid, M. P. (2023). DISAIN TEKNOLOGI DAN INOVASI PEMBELAJARAN DALAM BUDAYA ORGANISASI DI LEMBAGA PENDIDIKAN. Pustaka Egaliter. Com.
  68. Mulenga, R., & Shilongo, H. (2025). Hybrid and blended learning models: innovations, challenges, and future directions in education. Acta Pedagogia Asiana, 4(1), 1–13.
  69. Munawar, Z., Sutjiningtyas, S., Putri, N. I., Komalasari, R., & Soerjono, H. (2024). Manfaat Kecerdasan Buatan pada Proses Belajar Mengajar di Pendidikan Tinggi. TEMATIK, 11(2), 213–224.
  70. Naik, B. K. (2025). Barriers to the Adoption of E-Learning in Higher Education Institutes (HEI): An ISM Approach. International Journal of E-Services and Mobile Applications (IJESMA), 17(1), 1–19.
  71. Nasution, E. J. A. H., Molefe, L., & Utami, R. T. (2025). Platform e-learning adaptif meningkatkan aksesibilitas bagi berbagai demografi pembelajar: Adaptive e-learning platform enhances accessibility for diverse learner demographics. Jurnal MENTARI: Manajemen, Pendidikan Dan Teknologi Informasi, 3(2), 177–186.
  72. Nazmi, R., Ardiyanto, J., Anshori, M. I., Siswanto, D. E., & Wirawan, R. (2023). Adaptive learning in the future of educational management adapts to student needs. Al-Fikrah: Jurnal Manajemen Pendidikan, 11(2), 272–283.
  73. Nugroho, A., Fauziah, S., Judijanto, L., & Sulaiman, S. (2024). Strategi Manajemen Kependidikan: Meningkatkan Kinerja Karyawan dalam Lingkungan Pendidikan. PT. Sonpedia Publishing Indonesia.
  74. Nurhidayatullah, N. (2024). PERAN TEKNOLOGI DALAM OPTIMALISASI MANAJEMEN TENAGA KEPENDIDIKAN DI ERA DIGITAL. Jurnal Intelek Dan Cendikiawan Nusantara, 1(4), 4981–4991.
  75. Nurjanah, A., Salsabila, I. N., Azzahra, A., Rahayu, R., & Marlina, N. (2024). Artificial intelligence (ai) usage in today’s teaching and learning process: A review. Syntax Idea, 6(3), 1517–1523.
  76. Oghu, E., Ogbuju, E., Abiodun, T., & Oladipo, F. (2022). A Review of Sentiment Analysis Approaches for Quality Assurance in Teaching and Learning (RETRACTED). Bulletin of Social Informatics Theory and Application, 6(2), 177–188.
  77. Pardosi, V. B. A., Xu, S., Umurohmi, U., Nurdiana, N., & Sabur, F. (2024). Implementation of an Artificial Intelligence Based Learning Management System for Adaptive Learning. Al-Fikrah: Jurnal Manajemen Pendidikan, 12(1), 149–161.
  78. Pasaribu, M., & Widjaja, A. (2022). Artificial Intelligence: Perspektif Manajemen Strategis. Kepustakaan Populer Gramedia.
  79. Plucker, J. A., Healey, G., Meyer, M. S., & Roberts, J. L. (2022). Early high school graduation: Policy support for secondary acceleration. Gifted Child Today, 45(3), 150–156.
  80. Praekanata, I. W. I., Virnayanthi, N. P. E. S., Juliangkary, E., & Ratnaya, I. G. (2024). Menelusuri Arah Pendidikan: Dinamika dan Inovasi Kurikulum di Indonesia. PT. Sonpedia Publishing Indonesia.
  81. Pusporini, W., & Nurdiyanto, H. (2024). Utilization of artificial intelligence in outcome-based curriculum evaluation and development. Journal of Research in Social Science and Humanities, 4(1), 132–134.
  82. Rahiman, H. U., & Kodikal, R. (2024). Revolutionizing education: Artificial intelligence empowered learning in higher education. Cogent Education, 11(1), 2293431.
  83. Rahman, S., & Jinu, R. (2024). Unlocking Language Learning Potential: Nlp Learning Styles For Deaf And Hard-Of-Hearing Undergraduates. Salud, Ciencia y Tecnología-Serie de Conferencias, 3, 1124.
  84. Rai, D., Rajput, S. S., Arya, K. V, & Sharma, P. (2023). AI-and ML-based multimedia processing for surveillance. IET.
  85. Ralhan, P. (2024). Artificial intelligence in higher studies: Use of AI-based tools by university students and its challenges. International Journal of Advanced Research, 12, 1282–1285.
  86. Rambe, A., Nurhakim, M., & Amien, S. (2024). Reformasi pendidikan Muhammadiyah: Pendekatan inovatif dalam menghadapi tantangan era digital. Jurnal Ilmiah Muqoddimah: Jurnal Ilmu Sosial, Politik, Dan Humaniora, 8(2), 806.
  87. Ribarić, B., & Avramović, Z. Ž. (2021). Personalization of Teaching in E-learning Systems. The 1st International Conference on Maritime Education and Development: ICMED, 227–236.
  88. Rochmawati, D. R., Arya, I., & Zakariyya, A. (2023). Manfaat Kecerdasan Buatan Untuk Pendidikan. Jurnal Teknologi Komputer Dan Informatika, 2(1), 124–134.
  89. Saba, S. S. (2024). Optimalisasi Penggunaan Teknologi Dalam Proses Pembelajaran Untuk Meningkatkan Efektivitas Siswa. JME Jurnal Management Education, 2(02), 57–63.
  90. Saeed, M. M. A., Saeed, R. A., Ahmed, Z. E., Gaid, A. S. A., & Mokhtar, R. A. (2024). AI Technologies in Engineering Education. In AI-Enhanced Teaching Methods (pp. 61–87). IGI Global.
  91. Salinas-Atausinchi, Y., Sucari, W., Sarmiento-Yujra, L. S., Huaman-Lucana, R. E., Paullo-Tisoc, Y. L., & Chavez-Orellana, G. (2023). How should the theoretical framework be implemented in quantitative research? Revista Científica En Ciencias Sociales, 5(1), 102–113.
  92. Sari, H. E., Tumanggor, B., & Efron, D. (2024). Improving educational outcomes through adaptive learning systems using ai. International Transactions on Artificial Intelligence, 3(1), 21–31.
  93. Sen, J., Waghela, H., & Rakshit, S. (2024). Privacy in Federated Learning. ArXiv Preprint ArXiv:2408.08904.
  94. Setiawan, M. A., & Qamariah, Z. (2023). A practical guide in designing curriculum for diverse learners. PUSTAKA: Jurnal Bahasa Dan Pendidikan, 3(3), 260–275.
  95. Sharma, S. (2023). Challenges in Diverse Classroom of School: Teachers’ Perspectives. Chaturbhujeshwar Academic Journal, 1(1), 38–50.
  96. Singh, G., & Thakur, A. (2024). AI in Education: Ethical Challenges and Opportunities. The Ethical Frontier of AI and Data Analysis, 18–38.
  97. Singh, P. (2025). Artificial Intelligence and Student Engagement: Drivers and Consequences. In Cases on Enhancing P-16 Student Engagement With Digital Technologies (pp. 201–232). IGI Global Scientific Publishing.
  98. Siringoringo, R. G., & Alfaridzi, M. Y. (2024). Pengaruh Integrasi Teknologi Pembelajaran terhadap Efektivitas dan Transformasi Paradigma Pendidikan Era Digital. Jurnal Yudistira: Publikasi Riset Ilmu Pendidikan Dan Bahasa, 2(3), 66–76.
  99. Solorzano, V., Garzozi-Pincay, R. F., García, T. M. C., Lainez-Villao, M. D., Alcivar-Ponce, J. L., Guandinango-Vinueza, Y. A., & Neira-Quinteros, V. P. (n.d.). The Fourth Educational Revolution and the Impact of AI on Pedagogy.
  100. Storey, V. A., & Wagner, A. (2024). Integrating artificial intelligence (ai) into adult education: opportunities, challenges, and future directions. International Journal of Adult Education and Technology (IJAET), 15(1), 1–15.
  101. Sujatha, R., & Kavitha, D. (2018). Learner Retention in MOOC Environment: Analyzing the Role of Motivation, Self-Efficacy and Perceived Effectiveness. International Journal of Education and Development Using Information and Communication Technology, 14(2), 62–74.
  102. Sumartono, W. A. P., & Rafsanjani, W. A. H. (2024). Transforming Education: The Impact of Artificial Intelligence on Learning and Pedagogical Practices. Proceeding of International Seminar Enrichment of Career by Knowledge of Language and Literature, 12(1), 75–84.
  103. Sun, Z., Xu, Y., Liu, Y., He, W., Kong, L., Wu, F., Jiang, Y., & Cui, L. (2024). A survey on federated recommendation systems. IEEE Transactions on Neural Networks and Learning Systems, 36(1), 6–20.
  104. Surapaneni, P., Bojjagani, S., & Sharma, N. K. (2024). Federated Learning-based Big Data Analytics For The Education System. 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), 1–6.
  105. Suresh, V., Agasthiya, R., Ajay, J., Gold, A. A., & Chandru, D. (2023). AI based automated essay grading system using NLP. 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), 547–552.
  106. Susanto, N. W., & Hermina, D. (2024). Peningkatan Daya Saing Sekolah Melalui Implementasi Platform Pendidikan Nasional Berbasis Teknologi di Indonesia. Management of Education: Jurnal Manajemen Pendidikan Islam, 10(2), 85–98.
  107. Syah, M. B., Mawarni, S., Aswan, D., Yanti, N. E., & Yusuf, N. (2025). Pelatihan Penggunaan AI sebagai Alat, Kreativitas Tetap Ditangan pada Lingkup Akademik Mahasiswa. Paramacitra Jurnal Pengabdian Masyarakat, 2(02), 333–341.
  108. Tariq, M. U. (2024). The role of AI in skilling, upskilling, and reskilling the workforce. In Integrating generative AI in education to achieve sustainable development goals (pp. 421–433). IGI Global.
  109. Tarisayia, K. S. (2024). A theoretical framework for interrogating the integration of artificial intelligence in education. Research on Education and Media, 16(1), 38–44.
  110. Taufikin, M. S. I., Azifah, N., Nikmah, F., & Kuanr, J. (2024). The Impact of AI on Teacher Roles and Pedagogy in the 21st Century Classroom. 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 1, 1–5.
  111. Taylor, S., & Owen, M. (2021). Challenges to school-based physical activity data collection: Reflections from English primary and secondary schools. Health Education Journal, 80(1), 106–118.
  112. Tian, Z., Sun, M., Liu, A., Sarkar, S., & Liu, J. (2024). Enhancing instructional quality: Leveraging computer-assisted textual analysis to generate in-depth insights from educational artifacts. ArXiv Preprint ArXiv:2403.03920.
  113. Trivedi, N. B. (2023). AI in education-A transformative force. 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), 1, 1–4.
  114. Van Canegem, T., Van Houtte, M., & Demanet, J. (2022). Grade retention: A pathway to solitude? A cross-national multilevel analysis of the effects of being retained on students’ sense of belonging. Comparative Education Review, 66(4), 664–687.
  115. Voogt, J., & Knezek, G. (2013). Building a global community of policymakers, researchers and educators to move education systems into the digital age. Journal of Computer Assisted Learning, 29(5), 399–402.
  116. Vrdoljak, I. (2024). The Importance of Lifelong Education in Modern Economy. ENTRENOVA-Enterprise Research Innovation, 10(1), 601–617.
  117. Waladi, C., Khaldi, M., & Lamarti, M. S. (2024). Revolutionizing Education Through Personalized Pedagogy and Machine Learning Algorithms. In Fostering Pedagogical Innovation Through Effective Instructional Design (pp. 342–362). IGI Global Scientific Publishing.
  118. Waladi, C., & Lamarti, M. S. (2024). Adaptive AI-driven assessment for competency-based learning scenarios. In Innovative Instructional Design Methods and Tools for Improved Teaching (pp. 215–226). IGI Global Scientific Publishing.
  119. Wang, C., Ng, J. T. D., López, N. P. H., & Hu, X. (2024). Preliminary Evaluation of Learning Analytics Dashboard for College Teachers’ Online Professional Learning. 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), 83–85.
  120. White, J., & Stevens, K. (2024). Ethics of digital education. In The Elgar Companion to Applied AI Ethics (pp. 252–289). Edward Elgar Publishing.
  121. Wibowo, A. (2024). Kecerdasan Buatan Gabungan pada Sistem Operasi Bisnis. Penerbit Yayasan Prima Agus Teknik, 1–187.
  122. Wicaksono, R. A. P., & Hadi, S. (2024). Implementasi Strategi Pembelajaran Berdiferensiasi Dalam Materi Teks Berita Pada Siswa Kelas VII H SMP Negeri 13 Surabaya. Pragmatik: Jurnal Rumpun Ilmu Bahasa Dan Pendidikan, 2(4), 156–165.
  123. Widyasari, E., Murtiyasa, B., & Supriyanto, E. (2024). Revolusi Pendidikan dengan Artificial Intelligence: Peluang dan Tantangan. Jurnal Ilmiah Edukatif, 10(2), 302–311.
  124. Wozniak, K. (2020). Personalized learning for adults: An emerging andragogy. Emerging Technologies and Pedagogies in the Curriculum, 185–198.
  125. Yang, Z. (2024). Deep Learning Applications in Natural Language Processing and Optimization Strategies. Journal of Modern Education and Culture, 1(2).
  126. Yasin, M., Kelrey, F., Ghony, M. A., Syaiful, M., Karuru, P., Pertiwi, A., Abadi, A., Ardiansyah, W., & Aryanti, N. (2023). Media Pembelajaran Inovatif: Menerapkan Media Pembelajaran Kreatif untuk Menyongsong Pendidikan di Era Society 5.0. PT. Sonpedia Publishing Indonesia.
  127. Young, J. (2024). The rise of artificial intelligence in education. International Journal of Innovative Research and Development, 13(2).
  128. Yusuf, M. (2023). Inovasi Pendidikan Abad-21: Perspektif, Tantangan, dan Praktik Terkini. Selat Media.
  129. Zainuddin, N. (2024). Does Artificial Intelligence Cause More Harm than Good in Schools? International Journal of Language Education and Applied Linguistics, 14(1), 1–3.
  130. Zeer, M., Siaj, R. W., Ghannam, J. A., & Kanan, M. (2023). Ethics of artificial intelligence in university education. 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 1–4.

Downloads

PDF

Statistic

Abstract Views
: 56 times
PDF
: 0 times