GAGASAN KECERDASAN BUATAN (AI) DALAM PENDIDIKAN
Keywords:
Gagasan Pendidikan, Kecerdasan Buatan, AI Dalam PendidikanAbstract
Saat ini proses akumulasi dan deskripsi pengalaman menggunakan teknologi kecerdasan buatan atau biasa yang disebut Artificial Intelligence (AI) sangat potensial untuk diterapkan dibidang pendidikan, tetapi informasi yang relevan tidak cukup sistematis, serta aspek humanistik dan aksiologisnya tidak cukup dipelajari. Disatu sisi potensi AI dapat meningkatkan kualitas pendidikan, namun di sisi lain AI merupakan masalah yang signifikan. Dalam artikel ini, penulis berfokus pada pembahasan mengenai penerapan teknologi AI dalam pendidikan. Tujuan dari artikel ini adalah untuk menetapkan poin-poin fenomena penerapan teknologi AI saat ini dalam pendidikan sesuai dengan refrensi penulis tentang pedoman pedagogis dalam pelaksanaan proses yang relevan. Artikel ini menggunakan pendekatan kualitatif dengan metode studi literatur, peneliti menggunakan beberapa buku, jurnal, dan hasil observasi terbaru sebagai rujukan. Hasil penelitian dalam artikel ini mendefinisikan aspek, pedoman dasar, pendekatan, dan prinsip-prinsip untuk penggunaan teknologi AI dibidang pendidikan. Pedoman ilmiah dan pedagogis untuk penggunaan teknologi AI dalam pendidikan didasarkan pada totalitas pendekatan informasional, humanistik, dan aksiologis. Untuk pendekatan tersebut dapat diwakili oleh prinsip-prinsip aksiologis, humanisme dan personifikasi, subjektivitas, implementasi prosedural pendidikan.
References
ADB. (2021). Reaping the Benefits of Industry 4.0 Through Skills Development in the Philippines. https://www.adb.org/sites/default/files/publication/671726/benefits-industry-skills-development-cambodia.pdf
European Commission. (2021). AI Watch: National strategies on Artifical Intelligence - A European Perspective. In OECD. Publications Office of the European Union. https://doi.org/10.2760/069178
International Labour Organization. (2021). Changing demand for skills in digital economies and societies: Literature review and case studies from.
Kennewell, S., Parkinson, J., Tanner, H., Tranter, S. M., Chapman, C., Day, C., Hadfi eld, M., Hargreaves, A., Harris, A., Hopkins, D., Bailey, M., Bubb, S., Heilbronn, R., Jones, C., Totterdell, M., Brooke-Smith, R., Fullan, M., Davies, B., Ellison, L., … Sugimine, H. (2022). Related titles Change Forces with a Vengeance Michael Fullan Developing the ICT Capable School Improving Induction: Research-based Best Practice for Schools Leadership for Change and Reform School Leadership in the 21st Century Self-evaluation in the Glob. Simultaneously Published in the USA and Canada, 1–201.
Kotlyarova, I. O. (2022). Artificial Intelligence Technologies in Education. Bulletin of the South Ural State University Series “Education. Educational Sciences,” 14(3), 69–82. https://doi.org/10.14529/ped220307
Lobel, O. (2023). Legal Studies Research Paper Series The Law of AI for Good THE LAW OF AI FOR GOOD. University of San Diego. http://ssrn.com/abstract=4338862
Menon, K. (2019). Reimagining curricula for the Fourth Industrial Revolution. The Independent Journal of Teaching and Learning, 14(2), 6–19. https://www.researchgate.net/publication/337474314_The_Independent_Journal_of_Teaching_and_Learning_-_Vol_14_2_2019_Reimagining_curricula_for_the_Fourth_Industrial_Revolution
Minakov, V. F., Lobanov, O. S., & Dyatlov, S. A. (2020). Three-Dimensional Trends Superposition in Digital Innovation Life Cycle Model. International Journal of Technology, 11(6), 1201–1212. https://doi.org/10.14716/ijtech.v11i6.4444
Muslimin, I. (2022). Pengaruh sarana prasarana berbasis media network terhadap kualitas digital social innovation siswa SLTA se-Kecamatan Wonocolo Kota Surabaya (Skripsi) [Universitas Islam Negeri Sunan Ampel Surabaya]. http://digilib.uinsa.ac.id/54305/
Muslimin, I. (2024). The Use of ChatGPT to Improve Scientific Article Productivity of Postgraduate Students. Journal of Educational Management and Instruction (JEMIN), 3(1), 63–71. https://doi.org/10.22515/jemin.v3i1.7352
Ogata, H., Majumdar, R., & Flanagan, B. (2023). Learning in the Digital Age : Power of Shared Learning Logs to Support Sustainable Educational Practices. IECE TRANS. INF & SYST, 2, 101–109.
Peruzzini, M., Pellicciari, M., Bil, C., Stjepandić, J., & Wognum, N. (2018). Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, July 3 – 6, 2018. In Advances in Transdisciplinary Engineering series volume 7 PTransdisciplinary Engineering Methods for Social Innovation of Industry 4.0 Proceedings (Vol. 7).
Rossoni, L., & GPT, C. (2022). A inteligência artificial e eu: escrevendo o editorial juntamente com o ChatGPT. Revista Eletrônica de Ciência Administrativa, 21(3), 399–405. https://doi.org/10.21529/recadm.2022ed3
Sibal, P., & Neupane, B. (2021). ARTIFICIAL INTELLIGENCE NEEDS ASSESSMENT SURVEY IN AFRICA. United Nations Educational, Scientific and Cultural Organization.
UNESCO. (2019). Artificial Intelligence in Education Compendium of Promising Initiatives Mobile Learning Week 2019 United Nations Educational, Scientific and Cultural Organization. Oficina Internacional de Educación de La UNESCO, ED-2019/WS(Compendium of Promising Initiatives), 1–62. https://unesdoc.unesco.org/ark:/48223/pf0000242996_spa%0Ahttps://unesdoc.unesco.org/ark:/48223/pf0000139147%0Ahttps://unesdoc.unesco.org/ark:/48223/pf0000108663_spa
UNESCO. (2021a). AI and education Guidance for policy-makers. United Nations Educational, Scientific and Cultural Organization.
UNESCO. (2021b). Understanding the impact of artificial intelligence on skills development. United Nations Educational, Scientific and Cultural Organization.
UNESCO. (2022a). K-12 AI curricula. United Nations Educational, Scientific and Cultural Organization.
UNESCO. (2022b). the Ethics of Artificial Intelligence (Issue November). United Nations Educational, Scientific and Cultural Organization.
World Economic Forum. (2022). Artificial Intelligence for Children. World Economic Forum, March.
Yoshikawa, H. (2012). Design Methodology for Research and Development Strategy (Realizing a Sustainable Society). Japan Science and Technology Agency (JST), 4–103. https://www.jst.go.jp/crds/pdf/methodology/CRDS-FY2010-XR-25E.pdf
