DEVELOPMENT AND IMPLEMENTATION OF AN AUTOMATED WEB-BASED KPI MANAGEMENT AND DASHBOARD SYSTEM AT ASTANA IT UNIVERSITY

Authors

DOI:

https://doi.org/10.37943/23MZIN6824

Keywords:

KPI, automated system, dashboard analytics, performance management, web application, digital transformation, faculty assessment, staff productivity, role-based interface

Abstract

Evaluating Key Performance Indicators (KPIs) of faculty and staff is critical to ensuring accountability and promoting institutional effectiveness in higher education. However, the management of these processes often relies on manual, error-prone systems, creating significant administrative burdens. This study addresses these challenges by presenting a novel, replicable framework for translating complex institutional regulations into an automated, multi-stakeholder KPI management system. We detail the design and implementation of a web-based platform at Astana IT University, which was developed by programmatically encoding the institution's official KPI calculation and validation rules. The system features a multi-perspective analytical ecosystem, providing role-specific dashboards for faculty, review committees, department heads, and central administration to support synchronized decision-making. The core scientific contribution is a holistic methodology that combines stakeholder-driven requirements analysis with a "Policy-as-Code" approach to create a transparent, auditable, and scalable solution. Preliminary results indicate significant improvements in efficiency and data accuracy, demonstrating the framework's effectiveness. This study contributes not only a practical solution for KPI management but also a validated methodological blueprint for digital transformation applicable to other higher education institutions facing similar regulatory and administrative complexities. Future work will explore the integration of predictive analytics to enable early intervention in cases of underperformance. Additional modules such as goal-setting tools, peer comparison features, and customizable reporting templates are also planned to enhance usability and strategic planning capabilities. By fostering a data-driven culture and ensuring alignment with institutional goals, such systems can play a key role in long-term academic quality assurance and workforce development.

Author Biographies

Zhuldyz Basheyeva, Astana IT University, Kazakhstan

PhD, Assistant professor, Department of Computer Engineering

 

Dinmukhamed Oralkhanov, Astana IT University, Kazakhstan

Bachelor's Degree student, Department of Computer Engineering

Tairlan Orazov, Astana IT University, Kazakhstan

Bachelor's Degree student, Department of Computer Engineering

Gulzhan Soltan, Astana IT University, Kazakhstan

Candidate of Technical Sciences, Associate Professor, Department of Computer Engineering

References

Azevedo, A., Azevedo, J., & Hayakawa, M. E. (2021). Designing and implementing a dashboard with key performance indicators for a higher education institution. In Proceedings of the 13th International Conference on Computer Supported Education (CSEDU 2021) (pp. 165–172). SCITEPRESS. https://doi.org/10.5220/0010539501650172

Almasi, S., Mehrabi, N., & Ghorbani, M. (2023). Design and evaluation of a performance dashboard for the Faculty of Allied Medical Sciences, AJA University of Medical Sciences: A protocol for a mixed methods study. Shiraz E-Medical Journal, 24(12), e137592. https://doi.org/10.5812/semj-137592

Banihashem, S. K., Noroozi, O., van Ginkel, S., Macfadyen, L. P., & Biemans, H. J. A. (2022). A systematic review of the role of learning analytics in enhancing feedback practices in higher education. Educational Research Review, 37, 100489. https://doi.org/10.1016/j.edurev.2022.100489

Fernández, A., Gómez, B., Binjaku, K., & Meçe, E. K. (2023). Digital transformation initiatives in higher education institutions: A multivocal literature review. Education and Information Technologies, 28, 12351–12382. https://doi.org/10.1007/s10639-022-11544-0

Hershkovitz, A., Ambrose, G. A., & Soffer, T. (2024). Instructors’ perceptions of the use of learning analytics for data-driven decision making. Education Sciences, 14(11), 1180. https://doi.org/10.3390/educsci14111180

Karimova, V. A. (2021, November). Automation of KPI calculation for leadership personnel of higher educational institutions. In Proceedings of the 2021 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 374–377). IEEE. https://doi.org/10.1109/ICISCT52966.2021.9670079

Li, K. C., Ye, J., & Wong, B. T.-M. (2018). Status of learning analytics in Asia: Perspectives of higher education stakeholders. In M. Ros & R. Ayed (Eds.), Technology in Education: Innovative Solutions and Practices (Communications in Computer and Information Science, Vol. 715, pp. 267–275). Springer. https://doi.org/10.1007/978-981-13-0008-0_25

Masaeed, M. J. N., Shehada, S. A. J., & Mersal, M. A. S. (2025). The effect of digital transformation on teacher performance evaluation in Palestinian schools. Frontiers in Education, 10, 1440731. https://doi.org/10.3389/feduc.2025.1440731

Mondal, S. R. (2025). Automating KPI measurement: A sustainable solution for educational accreditation. Sustainability, 17(5), 1968. https://doi.org/10.3390/su17051968

Mukhatayev, A., Omirbayev, S., Kassenov, K., Idiyatova, Y., Nazarkhinov, A., Tuhvatshin, O., & Varlybekova, K. (2024). Quality assurance system of higher education in Kazakhstan through stakeholders’ eyes: An empirical study to identify its challenges. Education Sciences, 14(12), 1297. https://doi.org/10.3390/educsci14121297

Prinsloo, P., & Kaliisa, R. (2022). Learning analytics on the African continent: An emerging research focus and practice. Journal of Learning Analytics, 9(2), 218–235. https://doi.org/10.18608/jla.2022.7539

Quansah, F., Cobbinah, A., Asamoah-Gyimah, K., & Hagan, J. E. (2024). Validity of student evaluation of teaching in higher education: A systematic review. Frontiers in Education, 9, 1329734. https://doi.org/10.3389/feduc.2024.1329734

Ramaswami, G., Susnjak, T., & Mathrani, A. (2023). Effectiveness of a learning analytics dashboard for increasing student engagement levels. Journal of Learning Analytics, 10(3), 115–134. https://doi.org/10.18608/jla.2023.7935

Samsul, S. A., Yahaya, N., & Abuhassna, H. (2023). Education big data and learning analytics: A bibliometric analysis. Humanities and Social Sciences Communications, 10, 709. https://doi.org/10.1057/s41599-023-02176-x

Sequeira, R., Reis, A., Alves, P., & Branco, F. (2024). Roadmap for implementing business intelligence systems in higher education institutions: Systematic literature review. Information, 15(4), 208. https://doi.org/10.3390/info15040208

Sorour, A. (2024). Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards. Journal of Electronic Science and Technology, 22(1), 100233. https://doi.org/10.1016/j.jnlest.2024.100233

Sorour, A., Atkins, A. S., Stanier, C. F., & Alharbi, F. D. (2020, February). The role of business intelligence and analytics in higher education quality: A proposed architecture. In Proceedings of the 2019 International Conference on Advances in Emerging Computing Technologies (AECT). IEEE. https://doi.org/10.1109/AECT47998.2020.9194157

Susnjak, T., Ramaswami, G. S., & Mathrani, A. (2022). Learning analytics dashboard: A tool for providing actionable insights to learners. International Journal of Educational Technology in Higher Education, 19, Article 12. https://doi.org/10.1186/s41239-021-00313-7

Wang, X.-W., Zhang, Y.-C., & Du, Q. (2024). Research into the impact of an imbalanced teaching–academic research evaluation system on the quality of higher education: Based on the mediation effect of the sense of belonging to a university. Frontiers in Education, 9, 1348452. https://doi.org/10.3389/feduc.2024.1348452

Williamson, K., & Kizilcec, R. F. (2022). A review of learning analytics dashboard research in higher education: Implications for justice, equity, diversity, and inclusion. In Proceedings of the 12th International Learning Analytics & Knowledge Conference (LAK 2022) (pp. 153–163). ACM. https://doi.org/10.1145/3506860.3506900

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Published

2025-09-30

How to Cite

Basheyeva, Z., Oralkhanov, D., Orazov, T., & Soltan, G. (2025). DEVELOPMENT AND IMPLEMENTATION OF AN AUTOMATED WEB-BASED KPI MANAGEMENT AND DASHBOARD SYSTEM AT ASTANA IT UNIVERSITY. Scientific Journal of Astana IT University, 23, 46–62. https://doi.org/10.37943/23MZIN6824

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Section

Information Technologies