Implementation of Data-Based Management to Enhance AI-Assisted Learning Effectiveness for Senior High School Students in Jakarta
Keywords:
AI learning, Data management, Educational effectivenessAbstract
This study aims to analyze the implementation of data-based management in improving the effectiveness of education in AI-assisted learning at the high school level. The analysis units in this study are data management systems and AI learning strategies in schools. The research design used is a qualitative study with a descriptive approach. The main data sources consist of principals, teachers, and high school students involved in the use of AI in learning. Data collection techniques include in-depth interviews, observations, and document analysis. The data is analyzed using thematic analysis techniques to identify patterns in the implementation of data-based management. The results show that the optimal use of data-based management can increase the effectiveness of AI-assisted learning through adaptive and evidence-based strategies. The main contribution of this research is to provide insights into how systematic data management can support technology-based educational innovation in the school environment.
References
Ab Rahman, N. F., Wang, S. L., Ng, T. F., & Ghoneim, A. S. (2024). Artificial intelligence in education: A systematic review of machine learning for predicting student performance. Journal of Advanced Research in Applied Sciences and Engineering Technology, 54(1), 198–221. https://doi.org/10.37934/araset.54.1.198221
Ambarita, N., & Nurrahmatullah, M. F. (2024). Impacts of artificial intelligence on student learning: A systematic literature review. Jurnal VARIDIKA, 36(1), 13–30. https://doi.org/10.23917/varidika.v36i1.4730
Anjum, S. H., & Salahuddin, B. (2024). An investigation on effect of digital education on students’ academic performance. Journal of Social Sciences Development, 3(4), 33–39. https://doi.org/10.53664/JSSD/03-04-2024-04-33-39
Assayed, S. K., & Alsayed, S. (2024). The impact of high school curriculum on college readiness. In (pp. 457–478). https://doi.org/10.4018/979-8-3693-4342-5.ch013
Braun, V., Clarke, V., Hayfield, N., & Terry, G. (2024). Thematic analysis. In Advanced Research Methods for Applied Psychology (pp. 238–248). Routledge. https://doi.org/10.4324/9781003362715-21
Cabral, B., & Salles-Filho, S. (2024). Mapping science in artificial intelligence policy development: Formulation, trends, and influences. Science and Public Policy, 51(6), 1104–1116. https://doi.org/10.1093/scipol/scae052
Cleland, J., MacLeod, A., & Ellaway, R. H. (2023). CARDA: Guiding document analyses in health professions education research. Medical Education, 57(5), 406–417. https://doi.org/10.1111/medu.14964
Fadli Mappisabbi, A. M., Amirullah, N., & Batti’, S. (2024). Leveraging data and artificial intelligence for innovative educational management practices. International Journal of Management Research and Economics, 2(2), 182–192. https://doi.org/10.54066/ijmre-itb.v2i2.1788
Fauziddin, M., Adha, T. R., Arifiyanti, N., Indriyani, F., Rizki, L. M., Wulandary, V., & Reddy, V. S. V. (2025). The impact of AI on the future of education in Indonesia. Educative: Jurnal Ilmiah Pendidikan, 3(1), 1–16. https://doi.org/10.70437/educative.v3i1.828
Feng, T., & Li, Q. (2024). Artificial intelligence in education management: Opportunities, challenges, and solutions. Frontiers in Business, Economics and Management, 16(3), 49–54. https://doi.org/10.54097/raxsbp45
Gibson, S., Carroll, C., & Brown, C. (2023). Successful implementation of education technology in schools and colleges. 2023 IEEE Frontiers in Education Conference (FIE), 1–8. https://doi.org/10.1109/FIE58773.2023.10343231
Hazmi, N. R., Abrizah, A., & Khalid, Y. I. A. M. (2024). Analyzing policy documents: A desk study exploring research data governance practices among leading research-performing organizations. Advance. https://doi.org/10.31124/advance.24516061.v1
Høyem, A., Van Kemenade, E., & Van der Vlegel, W. (2023). A quality perspective on the ideal of coherent care pathways for patients with complex, long-term healthcare needs: A policy document analysis. International Journal of Integrated Care, 23(S1), 751. https://doi.org/10.5334/ijic.ICIC23291
Ifenthaler, D., Majumdar, R., Gorissen, P., Judge, M., Mishra, S., Raffaghelli, J., & Shimada, A. (2024). Artificial intelligence in education: Implications for policymakers, researchers, and practitioners. Technology, Knowledge and Learning, 29(4), 1693–1710. https://doi.org/10.1007/s10758-024-09747-0
Jena, M. K., & Barad, S. (2024). Professional development of secondary school teachers: Adapting to 21st-century educational paradigms. International Journal of Scientific Research in Modern Science and Technology, 3(1), 27–33. https://doi.org/10.59828/ijsrmst.v3i1.172
Kusumo, B., Sutrisman, H., Simanjuntak, R., Prihartanto, A., Askrening, A., & Yunus, R. (2024). The impact of technology-based learning on student engagement and achievement in the digital era. International Journal of Educational Evaluation and Policy Analysis, 1(4), 41–53. https://doi.org/10.62951/ijeepa.v1i4.55
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. https://doi.org/10.1201/9781003376699-9
Kotsis, K. (2024). Integrating artificial intelligence in science education: Benefits and challenges. International Journal of Educational Innovation, 6(3), 39–49. https://doi.org/10.69685/ICAS1772
Laksono, C. F., Prasetya Putri, A. E., & Anggraini, R. (2024). Effective methods for implementing artificial intelligence (AI) in enhancing teacher expertise in learning. JATI (Jurnal Mahasiswa Teknik Informatika, 9(1), 750–772. https://doi.org/10.36040/jati.v9i1.12479
Li, J., Low, W. P., Thiagarajan, L. B., & Peh, L. C. (2022). Data analytics for student profiling and academic counselling. ASCILITE Publications, 196–205. https://doi.org/10.14742/apubs.2019.263
Li, S., & Li, D. (2025). Research on personalized learning recommendation system based on machine learning algorithm. Scalable Computing: Practice and Experience, 26(1), 432–440. https://doi.org/10.12694/scpe.v26i1.3844
Lin, L., & Su, Z. (2024). Artificial intelligence, big data, and information system user experience: A comprehensive approach to cross-cultural adaptation in educational management of international students. Journal of Information Systems Engineering and Management, 9(3), 24484. https://doi.org/10.55267/iadt.07.14985
Lokare, V. T., & Jadhav, P. M. (2024). An AI-based learning style prediction model for personalized and effective learning. Thinking Skills and Creativity, 51, 101421. https://doi.org/10.1016/j.tsc.2023.101421
Mahafdah, R., Bouallegue, S., & Bouallegue, R. (2024). Enhancing e-learning through AI: Advanced techniques for optimizing student performance. PeerJ Computer Science, 10, e2576. https://doi.org/10.7717/peerj-cs.2576
Maulana, A., & Wiyono, D. Y. (2025). Adaptive material design supporting personalized education: Challenges and opportunities. Journal of Technology, Education & Teaching (J-TECH, 1(2), 86–89. https://doi.org/10.62734/jtech.v1i2.419
Meenakshi, M. M. (2024). Leveraging AI technologies for personalized learning support in dyslexic students. International Journal for Research in Applied Science and Engineering Technology, 12(12), 2192–2197. https://doi.org/10.22214/ijraset.2024.65734
Misinem, M. (2024). Leveraging data analytics for student grade prediction: A comparative study of data features. Journal of Applied Data Sciences, 5(4), 2025–2038. https://doi.org/10.47738/jads.v5i4.442
Mission, R., Fio, R. J., & Mission, A. R. (2024). AI-powered pedagogy: Integrating artificial intelligence in information technology education for future workforce readiness. Journal of Innovative Technology Convergence, 6(4), 69–86. https://doi.org/10.69478/JITC2024v6n4a06
Msigwa, O., & Ngirwa, C. C. (2023). The prospects of effective management of educational data in primary school at Mbarali District, Tanzania. Asian Research Journal of Arts & Social Sciences, 21(1), 12–18. https://doi.org/10.9734/arjass/2023/v21i1458
Mulatiwi, T., Supriadi, D., & Mulyanto, R. (2024). Implementation of committee partnerships on AI-based school policies at public junior high school. International Journal of Engineering, Science and Information Technology, 5(1), 46–50. https://doi.org/10.52088/ijesty.v5i1.627
Munawwaroh, I., & Adeleke Adeoye, M. (2024). AI-enhanced learning experiences: Moving beyond traditional textbook approaches in global education. Educative: Jurnal Ilmiah Pendidikan, 2(3), 169–177. https://doi.org/10.70437/educative.v2i3.825
Nagarajan, S. K. S., Ramaiah, M. S., & Whig, P. (2024). Data-driven solutions enhancing adaptive education through technological innovations for disability support (pp. 101–124). https://doi.org/10.4018/979-8-3693-8227-1.ch005
Nordmark, S., Augustsson, H., Davidsson, M., Andersson-Gidlund, T., Holmberg, K., Mohseni, Z., Rack, J., & Masiello, I. (2024). Piloting systematic implementation of educational technology in Swedish K-12 schools – Two-years-in report. Global Implementation Research and Applications. https://doi.org/10.1007/s43477-024-00130-w
Osmani, S., & Tartari, D. (2024). The impact of digital technology on learning and teaching: A case study of schools in Durrës, Albania. Journal of Educational and Social Research, 14(6), 193. https://doi.org/10.36941/jesr-2024-0165
Pardosi, A. V. B., 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. https://doi.org/10.31958/jaf.v12i1.12548
Pan, J. (2025). Data-driven school management: An analysis of pathways to enhancing student academic performance and mental health. Advances in Economics, Management and Political Sciences, 162(1), 125–131. https://doi.org/10.54254/2754-1169/2025.20363
Patrizi, N., Girolami, A., & Crescenzi, C. (2025). Il contributo dell’intelligenza artificiale per la qualificazione dei processi di istruzione. Journal of Educational, Cultural and Psychological Studies (ECPS Journal, 30. https://doi.org/10.7358/ecps-2024-030-patr
Qushwa, F. G., & Onia, S. I. (2024). AI innovation in education: Realizing personalized learning in the digital age. Educative: Jurnal Ilmiah Pendidikan, 2(3), 178–187. https://doi.org/10.70437/educative.v2i3.822
Rahmadani, & Bakri, Z. (2024). The effective methods for analyzing and interpreting data in classroom action research. 12 Waiheru, 10(2), 192–205. https://doi.org/10.70872/12waiheru.v10i2.314
Rubach, C., Lee, G., Lazarides, R., & Simpkins, S. D. (2024). High school. In Encyclopedia of Adolescence (pp. 190–200). Elsevier. https://doi.org/10.1016/B978-0-323-96023-6.00041-5
Sandhiya, V., & Bhuvaneswari, M. (2024). Qualitative research analysis (pp. 289–310). https://doi.org/10.4018/979-8-3693-1135-6.ch014
Santos, S. M. A. V., Rodrigues, B. dos S., De Brito, F. C., Oliveira, J. K. V., Da Costa, J. E. F., Da Silva, J., Amorim, L. A. S., & Meroto, M. B. das N. (2024). Secondary education and technological innovation: Educational tools for modern learning. Contribuciones a las Ciencias Sociales, 17(2), e5191. https://doi.org/10.55905/revconv.17n.2-153
Sari, H. E., Tumanggor, B., & Efron, D. (2024). Improving educational outcomes through adaptive learning systems using AI. International Transactions on Artificial Intelligence (ITALIC), 3(1), 21–31. https://doi.org/10.33050/italic.v3i1.647
Sasikala, P., & Ravichandran, R. (2024). Study on the impact of artificial intelligence on student learning outcomes. Journal of Digital Learning and Education, 4(2), 145–155. https://doi.org/10.52562/jdle.v4i2.1234
Sharad Jagtap, A., Sharad Khartalkar, P., Rajiv Choudhary, V., Prakash Mojidra, K., Musale, P. J., & More, P. (2025). Personalized adaptive learning technologies based on AI-ML. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5086667
Silva, G., Godwin, G., & Jayanagara, O. (2024). The impact of AI on personalized learning and educational analytics. International Transactions on Education Technology (ITEE), 3(1), 36–46. https://doi.org/10.33050/itee.v3i1.669
Singh, G., & Thakur, A. (2024). AI in education (pp. 18–38). https://doi.org/10.4018/979-8-3693-2964-1.ch002
Sumartono, W., Puteri Sumartono, W. A., & Rafsanjani, W. A. H. (2025). 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. https://doi.org/10.25139/eckll.v12i1.9605
Susilo, T. (2024). The role of artificial intelligence in personalizing learning for each student. Journal International of Lingua and Technology, 3(2), 229–242. https://doi.org/10.55849/jiltech.v3i2.632
Taşkın, M. (2025). Artificial intelligence in personalized education: Enhancing learning outcomes through adaptive technologies and data-driven insights. Human Computer Interaction, 8(1), 173. https://doi.org/10.62802/ygye0506
Yassin, A., & Mabanja, A. (2024). Integrating information processing theory with artificial intelligence for enhanced learning outcomes. International Conference on Applied Social Sciences in Education, 1(1), 1–13. https://doi.org/10.31316/icasse.v1i1.6902
Yaxing, T., Abdul Kadir, S., & Kamarudin, N. (2024). School effectiveness literature: Theories and models. International Journal of Academic Research in Progressive Education and Development, 13(4). https://doi.org/10.6007/IJARPED/v13-i4/23613
Zailani Iman, M., Airlangga Asis, A., & Uzma Zein Rahma, A. (2024). Enhancing personalized learning: The impact of artificial intelligence in education. Edu Spectrum: Journal of Multidimensional Education, 1(2), 101–112. https://doi.org/10.70063/eduspectrum.v1i2.55
Zhu, L., & Lahoz, E. A. (2024). Availability, utilization, and relevance of school’s data for efficient leadership toward data-driven culture in a selected vocational college in Jiangsu, China. International Journal of Education and Humanities, 17(3), 176–181. https://doi.org/10.54097/kzb7v984
