Administrasi pendidikan berbasis kecerdasan buatan: tinjauan sistematis, dan model implementasi berkelanjutan

Jurnal Konseling dan Pendidikan December 31, 2024 Volume 12, Number 4 4 authors

Abstract

Penelitian ini bertujuan mengeksplorasi pengembangan model implementasi kecerdasan buatan (AI) yang berkelanjutan dan adaptif dalam administrasi pendidikan, serta potensi penggunaannya di masa depan. Dengan menggunakan tinjauan sistematis terhadap 40 artikel dari database Scopus (2014–2024), penelitian ini menganalisis tren, tantangan, dan peluang penerapan AI. AI telah terbukti meningkatkan efisiensi administrasi melalui manajemen data, prediksi kinerja, dan alokasi sumber daya. Namun, keberhasilannya memerlukan sistem adaptif yang dapat beradaptasi dengan perubahan kebijakan, teknologi, dan kebutuhan pendidikan. Temuan utama dalam penelitian ini mencakup pentingnya integrasi aspek sosial, budaya, dan kebijakan untuk memastikan implementasi AI yang efektif dan etis. Tantangan signifikan meliputi perlindungan privasi data, etika algoritma, serta resistensi terhadap perubahan. Solusi yang disarankan mencakup pengembangan regulasi perlindungan data, pelatihan literasi digital bagi tenaga kependidikan, dan model implementasi berbasis umpan balik. Hasil penelitian ini juga menekankan pentingnya pengembangan model implementasi kecerdasan buatan (AI) yang berkelanjutan dan adaptif dalam administrasi pendidikan. AI memiliki potensi besar untuk mendukung tugas-tugas administratif seperti manajemen data, prediksi kinerja, dan alokasi sumber daya. Namun, keberhasilan jangka panjang penerapannya tergantung pada kemampuan sistem AI untuk beradaptasi dengan perubahan lingkungan dan kebutuhan pendidikan. Penelitian ini juga menyoroti perlunya integrasi aspek sosial, budaya, dan kebijakan untuk memastikan implementasi AI yang efektif dan etis, serta pentingnya regulasi yang melindungi privasi dan keamanan data. Model AI yang diterapkan harus fleksibel, berorientasi pada umpan balik, dan mampu meningkatkan efisiensi serta transparansi dalam manajemen pendidikan, sehingga dapat mendukung pelaksanaan administrasi Pendidikan secara lebih optimal dan mendukung tercapainya tujuan pendidikan nasional yang berkualitas, adaptif, inovatif dan inklusif.

Authors

  1. Sari Hutami

    Universitas Bengkulu

  2. Sudarwan Danim

    Universitas Bengkulu

  3. Syukri Hamzah

    Universitas Bengkulu

  4. Muhammad Kristiawan

    Universitas Bengkulu

Keywords

No keywords available

References

  1. Alnasib, B. N. M. (2023). Factors Affecting Faculty Members’ Readiness to Integrate Artificial Intelligence into Their Teaching Practices: A Study from the Saudi Higher Education Context. International Journal of Learning, Teaching and Educational Research, 22(8), 465–491. https://doi.org/10.26803/ijlter.22.8.24
  2. Alshadoodee, H. A. A., Mansoor, M. S. G., Kuba, H. K., & Gheni, H. M. (2022). The role of artificial intelligence in enhancing administrative decision support systems by depend on knowledge management. Bulletin of Electrical Engineering and Informatics, 11(6), 3577–3589. https://doi.org/10.11591/eei.v11i6.4243
  3. Becker, S. J., Nemat, A. T., Lucas, S., Heinitz, R. M., Klevesath, M., & Charton, J. E. (2023). A Code of Digital Ethics: laying the foundation for digital ethics in a science and technology company. AI and Society, 38(6), 2629–2639. https://doi.org/10.1007/s00146-021-01376-w
  4. Benbya, H., Pachidi, S., & Jarvenpaa, S. L. (2021). Special issue editorial: Artificial intelligence in organizations: Implications for information systems research. In Journal of the Association for Information Systems (Vol. 22, Issue 2). https://doi.org/10.17705/1jais.00662
  5. Bengesi, S., El-Sayed, H., Sarker, M. K., Houkpati, Y., Irungu, J., & Oladunni, T. (2024). Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. IEEE Access, 12. https://doi.org/10.1109/ACCESS.2024.3397775
  6. Chandra, K. R., Muthumanikandan, M., Kathyayini, S., Akhila, H. G., Pathak, P., & Shivaprakash, S. (2024). The Impact of Artificial Intelligence Tools and Techniques for Effective English Language Education. Nanotechnology Perceptions, 20(S7), 897–903. https://doi.org/10.62441/nano-ntp.v20iS7.74
  7. Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.2988510
  8. Delen, I., Sen, N., Ozudogru, F., & Biasutti, M. (2024). Understanding the Growth of Artificial Intelligence in Educational Research through Bibliometric Analysis. Sustainability (Switzerland), 16(16). https://doi.org/10.3390/su16166724
  9. Dudnik, O., Vasiljeva, M., Kuznetsov, N., Podzorova, M., Nikolaeva, I., Vatutina, L., Khomenko, E., & Ivleva, M. (2021). Trends, impacts, and prospects for implementing artificial intelligence technologies in the energy industry: The implication of open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 155. https://doi.org/10.3390/joitmc7020155
  10. Eppard, J., Kaviani, A., Bowles, M., & Johnson, J. (2021). Edtech culturation: Integrating a culturally relevant pedagogy into educational technology. Electronic Journal of E-Learning, 19(6), 516–530. https://doi.org/10.34190/ejel.19.6.2065
  11. Ghafar, Z. N., & Technical, B. (2023). The Role of Artificial Intelligence Technology on English Language Learning: A Literature Review. Canadian Journal of Language and Literature Studies, 3(2). https://doi.org/10.53103/cjlls.v3i2.87
  12. Khan, M. S., Shoaib, A., & Arledge, E. (2024). How to promote AI in the US federal government: Insights from policy process frameworks. Government Information Quarterly, 41(1), 101908. https://doi.org/10.1016/j.giq.2023.101908
  13. Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open, 6(March), 100174. https://doi.org/10.1016/j.caeo.2024.100174
  14. Marín, V. I., & Castañeda, L. (2023). Developing Digital Literacy for Teaching and Learning. Handbook of Open, Distance and Digital Education, 1089–1108. https://doi.org/10.1007/978-981-19-2080-6_64
  15. Moher D, Liberati A, Tetzlaff J, A. D. (2009). PRISMA 2009 Flow Diagram. https://doi.org/10.1371/journal.pmed1000097
  16. Mon, B. F., Wasfi, A., Hayajneh, M., & Slim, A. (2023). A Study on Role of Artificial Intelligence in Education. Proceedings - 2023 International Conference on Computing, Electronics and Communications Engineering, ICCECE 2023. https://doi.org/10.1109/iCCECE59400.2023.10238613
  17. Muhabbat, H., Mukhiddin, K., Jalil, H., Dustnazar, K., Farxod, T., Shavkat, M., Khulkar, K., & Jakhongir, S. (2024). The Digital Frontier: AI-Enabled Transformations in Higher Education Management Indonesian Journal of Educational Research and Technology. Indonesian Journal of Educational Research and Technology, 4(1).
  18. Popescu, R. I., Sabie, O. M., & Trușcă, M. I. (2023). The Contribution of Artificial Intelligence to Stimulating the Innovation of Educational Services and University Programs in Public Administration. Transylvanian Review of Administrative Sciences, 2023(70), 85–108. https://doi.org/10.24193/tras.70E.5
  19. Pradana, M., Elisa, H. P., & Syarifuddin, S. (2023). Discussing ChatGPT in education: A literature review and bibliometric analysis. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2243134
  20. Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial Intelligence in Education Research During the Last Ten Years: A Review and Bibliometric Study. International Journal of Emerging Technologies in Learning, 17(8), 169–188. https://doi.org/10.3991/ijet.v17i08.29833
  21. Qiao, H., & Zhao, A. (2023). Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context. Frontiers in Psychology, 14(November). https://doi.org/10.3389/fpsyg.2023.1255594
  22. Rachovski, T., Petrova, D., & Ivanov, I. (2024). Automated Creation of Educational Questions: Analysis of Artificial Intelligence Technologies and Their Role in Education. Vide. Tehnologija. Resursi - Environment, Technology, Resources, 2, 465–467. https://doi.org/10.17770/etr2024vol2.8101
  23. Rintaningrum, R. (2023). Technology integration in English language teaching and learning: Benefits and challenges. Cogent Education, 10(1). https://doi.org/10.1080/2331186X.2022.2164690
  24. Thurzo, A., Strunga, M., Urban, R., Surovková, J., & Afrashtehfar, K. I. (2023). Impact of Artificial Intelligence on Dental Education: A Review and Guide for Curriculum Update. In Education Sciences (Vol. 13, Issue 2). https://doi.org/10.3390/educsci13020150
  25. Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review* Introduction: the need for an evidence- informed approach. British Journal of Management, 14.
  26. UNESCO. (2021). The State of Education in the Digital Era: Challenges and Opportunities for Teachers. Https://Www.Unesco.Org. https://www.unesco.org
  27. Wang, M., & Kang, M. (2006). Cybergogy for engaged learning: A framework for creating learner engagement through information and communication technology. Engaged Learning with Emerging Technologies, 225–253. https://doi.org/10.1007/1-4020-3669-8_11
  28. World Economic Forum. (2023). The Future of Education: Bridging the Digital Divide. Https://Www.Weforum.Org. https://www.weforum.org
  29. Zhang, Y. (2024). Applied Mathematics and Nonlinear Sciences Artificial Intelligence Technology Boosts the Construction of English Intelligent. 9(1), 1–15.