Manajemen Kelas Berbasis Artificial Intelligence: Tinjauan Literatur terhadap Peluang dan Tantangan di Pendidikan Dasar
DOI:
https://doi.org/10.61104/alz.v1i2.1206Keywords:
Manajemen Kelas, Artificial Intelligence, Pendidikan DasarAbstract
Integrasi Artificial Intelligence (AI) dalam pendidikan dasar menjadi isu strategis di tengah upaya transformasi pembelajaran abad ke-21, terutama dalam mendukung efektivitas manajemen kelas yang adaptif dan berbasis data. Namun, hingga kini masih terdapat kesenjangan antara potensi teoretis AI dan praktik implementasinya di ruang kelas dasar, baik dari sisi kesiapan infrastruktur, kompetensi guru, maupun regulasi etika yang belum memadai. Penelitian ini bertujuan untuk mengkaji secara sistematis peluang dan tantangan penggunaan AI dalam pengelolaan kelas di pendidikan dasar melalui pendekatan studi pustaka terhadap 32 literatur terbitan tahun 2010–2022. Hasil analisis tematik menunjukkan bahwa AI memiliki potensi untuk mendukung personalisasi pendekatan manajemen kelas, mendeteksi perilaku siswa secara real-time, dan mengurangi beban administratif guru, tetapi sekaligus menghadapi tantangan serius seperti bias algoritma, ketimpangan akses teknologi, dan kekhawatiran etika penggunaan data anak. Studi ini menyimpulkan bahwa keberhasilan integrasi AI dalam manajemen kelas dasar sangat bergantung pada desain sistem yang kontekstual, literasi digital guru, serta adanya regulasi yang tegas dan kolaboratif lintas sektor.
References
Ahmad, M., Iqbal, M., & Khan, S. (2020). Use of artificial intelligence in classroom management: A systematic review. Education and Information Technologies, 25(6), 4951–4968. https://doi.org/10.1007/s10639-020-10125-1
Binns, R., Veale, M., Van Kleek, M., & Shadbolt, N. (2018). ‘It's reducing a human being to a percentage’: Perceptions of justice in algorithmic decisions. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3173574.3173951
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Huang, T., Lu, X., & Liang, J. (2021). AI-powered behavioral analysis in smart classrooms: Opportunities and challenges. Journal of Educational Technology & Society, 24(3), 45–57.
Kankaanranta, M., Gritsenko, V., & Rantala, S. (2020). Teacher readiness for AI-based classroom tools: A European perspective. Journal of Digital Learning in Teacher Education, 36(2), 115–127. https://doi.org/10.1080/21532974.2020.1719269
Khosravi, H., Kitto, K., & Wong, S. (2020). Supporting student reflection through AI-powered learning analytics. Australasian Journal of Educational Technology, 36(3), 83–98. https://doi.org/10.14742/ajet.5340
Lee, J., & Choi, H. (2019). Personalized classroom behavior management using AI: Enhancing inclusiveness and engagement. Computers & Education, 142, 103646. https://doi.org/10.1016/j.compedu.2019.103646
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Nouri, J., Cerratto-Pargman, T., Rossitto, C., & Ramberg, R. (2020). Teacher-led inquiry for improving teaching: Design-based research with and for teachers. British Journal of Educational Technology, 51(6), 2275–2290. https://doi.org/10.1111/bjet.12914
Schmid, U., Goertz, L., Behrens, J., & Schröder, H. (2021). Artificial intelligence in education: Promises and implications for teaching and learning. Technology, Knowledge and Learning, 26(1), 31–47. https://doi.org/10.1007/s10758-020-09440-2
UNESCO. (2022). Global Education Monitoring Report 2022: Technology in education – A tool on whose terms? https://unesdoc.unesco.org/
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0
Zou, D., Huang, Y., & Xie, H. (2021). Digital game-based vocabulary learning: Where are we and where are we going? Computer Assisted Language Learning, 34(1–2), 1–27. https://doi.org/10.1080/09588221.2019.1640745
Zhai, X., Chu, X., & Wang, C. (2021). A meta-review of artificial intelligence applications in K–12 education: Current progress and future directions. International Journal of Artificial Intelligence in Education, 31(3), 476–507. https://doi.org/10.1007/s40593-020-00225-9
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Rohana
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a 