Transformation of Education Management in Junior High School to Improve Learning Effectiveness Through the Application of Artificial Intelligence Technology
Keywords:
Artificial Intelligence, Digital Learning, Education Management, Junior High School, Learning EffectivenessAbstract
This study aims to examine the application of artificial intelligence technology in the transformation of education management in Junior High Schools to improve learning effectiveness. The research method used is a qualitative approach with a case study design, which involves observation, in-depth interviews with principals, teachers, and students, as well as analysis of documents related to the implementation of artificial intelligence-based digital learning. The data obtained was analyzed using thematic analysis techniques to identify the challenges, opportunities, and impacts of artificial intelligence technology in learning in junior high schools. The results of the study show that the application of artificial intelligence can increase the effectiveness of learning, especially in terms of personalization of learning and management of student learning time. The contribution of this research provides insight into the importance of artificial intelligence technology-based education management in improving the quality of learning at the junior high school level.
Downloads
References
Ahmad, S.F., Rahmat, M.K., Mubarik, M.S., Alam, M.M., Hyder, S.I. (2021). Artificial Intelligence and Its Role in Education. Sustainability, 13(22), 12902. https://doi.org/10.3390/su132212902
Al-Ababneh, H.A., Alrhaimi, S.A.S. (2020). Modern Approaches to Education Management to Ensure the Quality of Educational Services. TEM Journal, 770–778. https://doi.org/10.18421/TEM92-46
Anuyahong, B., Rattanapong, C., Patcha, I. (2023). Analyzing the Impact of Artificial Intelligence in Personalized Learning and Adaptive Assessment in Higher Education. International Journal of Research and Scientific Innovation, X(IV), 88–93. https://doi.org/10.51244/IJRSI.2023.10412
Blikstein, P., Zheng, Y., Zhou, K.Z. (2022). Ceci n’est pas une école: Discourses of artificial intelligence in education through the lens of semiotic analytics. European Journal of Education, 57(4), 571–583. https://doi.org/10.1111/ejed.12528
Boholano, H., Cajes, R., & Stewart, B. (2021). Technology based teaching and learning in junior high school. Research in Pedagogy, 11(1), 98–107. https://doi.org/10.5937/IstrPed2101098B
Byhoff, E., Hamati, M.C., Power, R., Burgard, S.A., Chopra, V. (2017). Increasing educational attainment and mortality reduction: a systematic review and taxonomy. BMC Public Health, 17(1), 719. https://doi.org/10.1186/s12889-017-4754-1
Chaudhry, M., Kazim, E. (2021). Artificial Intelligence in Education (Aied) a High-Level Academic and Industry Note 2021. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3833583
El-Sabagh, H. A. (2021). Adaptive e-learning environment based on learning styles and its impact on development students’ engagement. International Journal of Educational Technology in Higher Education, 18(1), 53. https://doi.org/10.1186/s41239-021-00289-4
Etherington, M. (2019). The Challenge with Educational Transformation. Journal of Culture and Values in Education, 2(1), 96–112. https://doi.org/10.46303/jcve.02.01.8
Flogie, A., Aberšek, B. (2022). Artificial Intelligence in Education. In Active Learning - Theory and Practice. IntechOpen. https://doi.org/10.5772/intechopen.96498
Giró Gràcia, X., & Sancho-Gil, J. M. (2021). Artificial Intelligence in Education. Seminar.Net, 17(2). https://doi.org/10.7577/seminar.4281
Guerreiro-Santalla, S., Bellas, F., Fontenla-Romero, O. (2021). The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students (pp. 88–92). https://doi.org/10.1007/978-3-030-78270-2_15
Hartini, D., Lian, B., Eddy, S. (2021). The District Education Offices in Improving the Quality of Education Junior High School in Pedamaran District. https://doi.org/10.2991/assehr.k.210716.179
Hashmi, N., Bal, A.S. (2024). Generative AI in higher education and beyond. Business Horizons, 67(5), 607–614. https://doi.org/10.1016/j.bushor.2024.05.005
HOW, M.L. (2019). Future-Ready Strategic Oversight of Multiple Artificial Superintelligence- Enabled Adaptive Learning Systems via Human-Centric Explainable AI-Empowered Predictive Optimizations of Educational Outcomes. Big Data and Cognitive Computing, 3(3), 46. https://doi.org/10.3390/bdcc3030046
Hu, J., Hu, X. (2020). The Effectiveness of Autonomous Listening Study and Pedagogical Implications In the Module of Artificial Intelligence. Journal of Physics: Conference Series, 1684(1), 012037. https://doi.org/10.1088/1742-6596/1684/1/012037
Hutson, J., Jeevanjee, T., Graaf, V.V., Lively, J., Weber, J., Weir, G., Arnone, K., Carnes, G., Vosevich, K., Plate, D., Leary, M., Edele, S. (2022). Artificial Intelligence and the Disruption of Higher Education: Strategies for Integrations across Disciplines. Creative Education, 13(12), 3953–3980. https://doi.org/10.4236/ce.2022.1312253
Kaur, S., Tandon, N., Matharou, G.S. (2020). Contemporary Trends in Education Transformation Using Artificial Intelligence. In Transforming Management Using Artificial Intelligence Techniques (pp. 89–103). CRC Press. https://doi.org/10.1201/9781003032410-7
Khan, M.A., Khojah, M., Vivek. (2022). Artificial Intelligence and Big Data: The Advent of New Pedagogy in the Adaptive E-Learning System in the Higher Educational Institutions of Saudi Arabia. Education Research International, 2022, 1–10. https://doi.org/10.1155/2022/1263555
Khasanah, A.N., Sirodj, D.A.N. (2019). Types of Bullying in Junior High School Students. Proceedings of the Social and Humaniora Research Symposium (SoRes 2018). https://doi.org/10.2991/sores-18.2019.50
Ledesma, E.F.R., Moreno, E., Jesús, J., Carreto, C. (2019). School Manager System based on a Personal Information Architecture. International Journal of Advanced Computer Science and Applications, 10(6). https://doi.org/10.14569/IJACSA.2019.0100680
Maghsudi, S., Lan, A., Xu, J., van-der-Schaar, M. (2021). Personalized Education in the Artificial Intelligence Era: What to Expect Next. IEEE Signal Processing Magazine, 38(3), 37–50. https://doi.org/10.1109/MSP.2021.3055032
Messakh, S.T., Prihastuti, E., Adi, B.P.S. (2019). The level of knowledge of State Vocational High School in Bancak on Adolescent Reproductive Health. Journal of Health, 6(2), 76–82. https://doi.org/10.30590/vol6-no2-p76-82
Monserrat, M., Mas, A., Mesquida, A.L., Clarke, P. (2022). Investigating the Use of Artificial Intelligence (AI) in Educational Settings: A Systematic Review (pp. 3–17). https://doi.org/10.1007/978-3-031-15559-8_1
Octoria, D., Susanto, H., Wahyudi, S. (2023). Cooperative Education Units as an Alternative Option for Junior High School Education in Indonesia (pp. 456–466). https://doi.org/10.2991/978-2-38476-060-2_42
PAOLO DI SIA. (2020). Looking at the new digital school: didactics 2.0 and school 2.0. E- Methodology, 6(6), 9–21. https://doi.org/10.15503/emet2019.9.21
Pujiastuti, R. T., Sujarwoto, M., & Hidayati, F. (2017). Preventing Students From Dropping Out of School In Indonesia’s Basic Education: What Should Government Do? Proceedings of the International Conference on Administrative Science, Policy and Governance Studies (ICAS-PGS 2017) and the International Conference on Business Administration and Policy (ICBAP 2017). https://doi.org/10.2991/icaspgs-icbap-17.2017.28
Rajeswari, P., & Purushothaman, S. (2023). Artificial Intelligence in Education. Thiagarajar College of Preceptors Edu Spectra, 5(S1), 47–50. https://doi.org/10.34293/eduspectra.v5is1-may23.008
Ramdani, A. (2020). Developing Inquiry-Based Learning Materials Through Integrated Lesson Study with 4-D Model to Enhance Junior High School Students’ Critical Thinking Skill. Proceedings of the 4th Asian Education Symposium (AES 2019). https://doi.org/10.2991/assehr.k.200513.052
Sakalle, A., Tomar, P., Bhardwaj, H., & Sharma, U. (2021). Impact and Latest Trends of Intelligent Learning With Artificial Intelligence (pp. 172–189). https://doi.org/10.4018/978-1-7998-4763-2.ch011
Sayed, W. S., Gamal, M., Abdelrazek, M., & El-Tantawy, S. (2020). Towards a Learning Style and Knowledge Level-Based Adaptive Personalized Platform for an Effective and Advanced Learning for School Students. In Recent Advances in Engineering Mathematics and Physics (pp. 261–273). Springer International Publishing. https://doi.org/10.1007/978- 3-030-39847-7_22
Sharkov, F.I., Abisheva, V.T., Luchina, M.A., Potapchuk, V.A., Ramazanova, Z.S. (2022). New Communication Trends in Education: digital technologies and artificial intelligence. Communicology, 10(3), 67–86. https://doi.org/10.21453/2311-3065-2022-10-3-67-86
Siminto, S., Akib, A., Hasmirati, H., Widianto, D.S. (2023). Educational Management Innovation by Utilizing Artificial Intelligence in Higher Education. Al-Fikrah: Jurnal Manajemen Pendidikan, 11(2), 284. https://doi.org/10.31958/jaf.v11i2.11860
Ukpabio, G.E., Ekanem, E.E., Mbon, U.F., Arop, F.O. (2020). Administrators’ Awareness, Procurement and Management of Virtual Laboratories for Teaching Science Subjects in Secondary Schools: A Case Study. The Journal of Social Sciences Research, 65, 598–605. https://doi.org/10.32861/jssr.65.598.605
Wang, J., Zhan, Q. (2021). Visualization Analysis of Artificial Intelligence Technology in Higher Education Based on SSCI and SCI Journals from 2009 to 2019. International Journal of Emerging Technologies in Learning (IJET), 16(08), 20. https://doi.org/10.3991/ijet.v16i08.18447
Yağcı, M. (2022). Educational data mining: prediction of students’ academic performance using machine learning algorithms. Smart Learning Environments, 9(1), 11. https://doi.org/10.1186/s40561-022-00192-z
YU, X. (2023). Research on the impact of AI on college students based on the entropy weight integrated scoring model. Highlights in Science, Engineering and Technology, 57, 227–234. https://doi.org/10.54097/hset.v57i.10006