Harnessing Data Analytics for Smart Academic Management
DOI:
https://doi.org/10.37134/ejoss.vol11.sp2.9.2025Keywords:
Data-Driven Education, Academic Management Systems, Data Analytics, Higher Education TransformationAbstract
In today's rapidly evolving educational landscape, higher education institutions (HEIs) must adopt data-driven strategies to improve efficiency, decision-making, and student success. Collecting diverse data types is essential for developing a holistic understanding of students and institutional operations. Student-related data, such as academic performance, attendance records, demographic details, and socio-economic factors, provide valuable insights into learning progress and support needs. Meanwhile, institutional data, which includes accreditation reports, research outputs, and stakeholder satisfaction scores, helps institutions refine curricula, enhance administrative processes, and strengthen industry partnerships. By leveraging data analytics, HEIs can develop intelligent academic management systems that optimize learning pathways, streamline administrative tasks, and foster deeper collaboration with internal and external stakeholders. This paper presents a hub-and-spoke framework for smart academic management, incorporating data analytics, along with relevant data metrics for HEIs and their corresponding hub-spoke pairings. Through automation, adaptive learning, and continuous feedback, HEIs can create a seamless, student-centered ecosystem that enhances academic achievement and operational efficiency. Furthermore, key innovations, challenges, and strategic approaches involved in implementing data-driven academic transformation are critically explored.
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References
Tasmin, R., & Huey, T. (2020). Determinants of Big Data Adoption for Higher Education Institutions in Malaysia. 1(1), 254–263. https://publisher.uthm.edu.my/periodicals/index.php/rmtb/article/download/520/225
Saydullaev, S. (2023). Exploring Big Data Applications for Knowledge Management in Higher Education Administration. Yashil Iqtisodiyot va Taraqqiyot, 1(11–12). https://doi.org/10.55439/ged/vol1_iss11-12/a374
Cheng, E. C. K. (2024). Strategic Use of Data in Higher Education Institutions for Quality Enhancement. Advances in Higher Education and Professional Development Book Series, 535–562. https://doi.org/10.4018/979-8-3693-6915-9.ch023
Hasan, R., Palaniappan, S., Mahmood, S., Naidu, V. R., Agarwal, A., Singh, B., Sarker, K. U., Abbas, A., & Sattar, M. U. (2020). A Review: Emerging Trends of Big Data in Higher Educational Institutions (pp. 289–297). Springer, Singapore. https://doi.org/10.1007/978-981-15-2329-8_29
Gaftandzhieva, S., Doneva, R., & Bliznakov, M. (2022). Data Analytics, Students’ Academic Performance and Decision-Making in Higher Education. Educ. Res. Inf. Soc, 3372, 59-68.
Yang, Y., Xia, N. (2024). Harnessing Educational Big Data Analytics for Decision-Making in Enhancing School Teaching Quality. International Journal of Interactive Mobile Technologies (iJIM), 18(16), pp. 142–157. https://doi.org/10.3991/ijim.v18i16.51007
Ujir, H., Marzuki, A. S., Alias, A.A., Sivabalan, T., Arabi, R and Hipiny, I. 2024. Leveraging Digital Technologies: Innovating the Quality Assurance Framework at the Institutional Level, In the Proceedings of Malaysian Qualifications Agency International Conference.
Mustamir, A. Nasikun and S. Wibirama, (2024). Design and Implementation of a Dashboard System for Monitoring Key Performance Indicators in Digitalized Higher Education Institutions: A Case Study. 16th International Conference on Information Technology and Electrical Engineering (ICITEE), Bali, Indonesia, 2024, pp. 392-397, doi: 10.1109/ICITEE62483.2024.10808311.
Patino-Rodriguez, C. E. (2023). ADHE: A Tool to Characterize Higher Education Dropout Phenomenon. Revista Facultad De Ingenieria-Universidad De Antioquia. https://doi.org/10.17533/udea.redin.20230519.
Denwattana, N., & Saengsai, A. (2016). A framework of Thailand higher education dashboard system. International Computer Science and Engineering Conference, 1–6. https://doi.org/10.1109/ICSEC.2016.7859883.
Tang, Y. W., Toh, S. S. H., & Leow, A. S. (2022). Dashboards for Decision Making in Higher Education. ASCILITE Publications, 321–329. https://doi.org/10.14742/apubs.2019.279.
Leitner, P., and Ebner, M. (2017). Development of a Dashboard for Learning Analytics in Higher Education (pp. 293–301). Springer, Cham. https://doi.org/10.1007/978-3-319-58515-4_23
A. Sarikaya et al., "What Do We Talk About When We Talk About Dashboards?", IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 1, pp. 682-692, Jan. 2019.
Sharma, H. S. and Joshi, H. D. (2022). Pooling Business Intelligence and Dashboard Technology for Decisions Making in Higher Education Institutions. Research Square. https://doi.org/10.21203/rs.3.rs-1905128/v1
Chudra, G., Yohannis, A., & Setiawan, R. (2023). Development of streamlit-based higher education ranking instrument boards. Jusikom : Jurnal Sistem Informasi Ilmu Komputer. Vol. 7 No. 1. https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v7i1.3813
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