AUTOMATION OF ACADEMIC STAFF REPORTING USING ARTIFICIAL INTELLIGENCE AND NO-CODE PLATFORM

Published 2026-04-24

Authors

DOI:

https://doi.org/10.28925/2414-0325.2026.2010

Keywords:

reporting automation, Citizen Developer, Low-Code/No-Code, artificial intelligence, Google Gemini, Make.com

Abstract

In modern higher education institutions, the issue of excessive administrative burden has become critical. This often leads to the "digital paradox" phenomenon, where the implementation of centralized information systems, instead of streamlining operations, merely increases the time spent on reporting. This study proposes a solution to this problem through the development and empirical verification of a personal automated system for tracking faculty professional activity. The methodological framework for this work is the Design Science Research (DSR) approach and the "Citizen Developer" concept, which empowers educators without specialized technical training to create their own adaptive digital tools. The proposed architecture integrates the Telegram messenger, the Make.com platform as a scenario orchestration environment, and the Google Gemini 2.5 Flash multimodal artificial intelligence model. The developed algorithm facilitates complex routing for heterogeneous input data, including text descriptions, voice messages, web links (e.g., to scientific publications or news), and images (e.g., certificates or event posters). The system performs semantic content analysis, extracts key dates, generates descriptions in Ukrainian, and automatically logs entries into Google Sheets with linked digital copies of the relevant documents. Experimental validation conducted at the Faculty of Arts of Luhansk Taras Shevchenko National University (Poltava) demonstrated a reduction in the time required to record a single achievement from 4 minutes 31 seconds to 14 seconds, representing a 95% time saving. The paper analyzes the technical aspects of configuring system prompts to achieve a classification accuracy exceeding 90% and addresses information security concerns. The results demonstrate that the strategic use of accessible No-Code solutions enables the transformation of routine bureaucratic procedures into efficient processes, thereby freeing up faculty resources for scientific and creative endeavors.

Downloads

Download data is not yet available.

References

Woelert, P., Chesters, J., Martinussen, M., & Gannaway, J. (2025). Administrative burden in Australian universities: Insights into dimensions and drivers from a nationwide survey. Science and Public Policy. https://doi.org/10.1093/scipol/scaf029

Schiller, J., & LeMire, S. (2023). A survey of research administrators: Identifying administrative burden in post-award federal research grant management. The Journal of Research Administration, 55(3), 9-28. https://files.eric.ed.gov/fulltext/EJ1412033.pdf

Moynihan, D., Herd, P., & Harvey, H. (2014). Administrative burden: Learning, psychological, and compliance costs in citizen-state interactions. Journal of Public Administration Research and Theory, 25(1), 43-69. https://doi.org/10.1093/jopart/muu009

Davidovitch, N., & Cohen, E. (2024). Administrative roles in academia – potential clash with research output and teaching quality? Cogent Education, 11(1). https://doi.org/10.1080/2331186x.2024.2357914

Bhardwaj, V., & Kumar, M. (2025). Transforming higher education with robotic process automation: Enhancing efficiency, innovation, and student-centered learning. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-025-01198-6

Pinho, D., Aguiar, A., & Amaral, V. (2022). What about the usability in low-code platforms? A systematic literature review. Journal of Computer Languages, 101185. https://doi.org/10.1016/j.cola.2022.101185

McHugh, S., Carroll, N., & Connolly, C. (2023). Low-Code and No-Code in secondary education – empowering teachers to embed citizen development in schools. Computers in the Schools, 1-26. https://doi.org/10.1080/07380569.2023.2256729

Sodano, J., & DeFranco, J.(2025). Citizen development, Low-Code/No-Code platforms, and the evolution of generative AI in software development. Computer, 58(5), 101-104. https://doi.org/10.1109/mc.2025.3547073

Umryk, M., Morze, N., & Smirnova-Trybulska, E. (2025). Development of artificial intelligence competences for educators in the digital society. Electronic Scientific Professional Journal “Open Educational E-Environment of Modern University”, 18, 159-173. https://doi.org/10.28925/2414-0325.2025.1813 (in Ukrainian).

Huzhva, V. (2024). Digital transformation of universities: Intelligent agents based on low-code technologies. Economy and Society, 70. https://doi.org/10.32782/2524-0072/2024-70-4 (in Ukrainian).

Ivasenko, O. (2025). Socio-economic efficiency of using low-code platforms in digital marketing of higher education institutions. Economics and region, 3(98), 225-232. https://doi.org/10.26906/eir.2025.3(98).4035 (in Ukrainian).

Regulations on the Performance Evaluation of Academic and Teaching Staff of the Luhansk Taras Shevchenko National University. (2024). Poltava. https://luguniv.edu.ua/wp-content/uploads/2024/12/polozh_pro_reitynhuvannia_2024.pdf (in Ukrainian).

AI Assistant for Educators: Telegram – Gemini Integration via Make.com Automation Scenario (2025). Make.com. https://eu1.make.com/public/shared-scenario/wrKVPa3XUz5/ai-asistent-vikladacha-telegram-gemini (in Ukrainian).

Downloads


Abstract views: 52

How to Cite

Ostretsova, T., Ponomarenko, O., & Yezerska, A. (2026). AUTOMATION OF ACADEMIC STAFF REPORTING USING ARTIFICIAL INTELLIGENCE AND NO-CODE PLATFORM. Electronic Scientific Professional Journal “OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY”, (20), 127–143. https://doi.org/10.28925/2414-0325.2026.2010

Issue

Section

Статті