1. Evaluation of Education Quality and Centralized Information Management System
In order to assess the quality of education and ensure its continuous development, a centralized information management system has been introduced at the university. Through this system, all key indicators of the educational process are regularly collected and analyzed. The collected data include the following:
· Student statistics – the number of admitted, continuing, and graduated students, as well as dropout rates;
· Teaching staff composition – information on academic degrees and academic titles, professional development activities, and age structure;
· Learning outcomes – average grades by subjects, credit accumulation indicators, and examination results;
· Student satisfaction level – results of surveys conducted at the end of each semester and their analysis;
· Graduate monitoring – employment status, employers’ feedback, and the level of professional relevance of graduates.
This information collection system serves to support evidence-based decision-making in managing the educational process, improving programs, and enhancing quality assurance.
2. Data Analysis and Utilization
At the university, the collected data are processed using statistical and qualitative analysis methods and are applied to improve the educational process and increase management efficiency. The results of this analysis are used in the following areas:
· Updating educational programs – decisions are made to update and adapt educational programs based on labor market requirements and student performance indicators;
· Optimizing student support services – improving the effectiveness of academic, psychological, financial, and career guidance services;
· Teacher professional development plans – planning professional development courses and optimizing teachers’ workload;
· Strategic development plans – developing and updating the university’s five-year and annual development strategies.
The results of the analysis are presented annually in the form of reports at faculty councils and the university council. This process ensures transparency and strengthens an evidence-based approach to decision-making.
3. Data Sources and Technologies
At the university, the processes of collecting, processing, and storing information are carried out through modern technologies and specialized platforms. Data are generated using the following main tools:
· Higher education management information system – centralized storage and management of core personal, academic, and administrative data about students and teachers;
· Learning Management System (LMS) – online monitoring of the educational process by subjects, recording assignments and test results, and analyzing student activity;
· Electronic survey platforms – regularly collecting feedback from students, graduates, and employers and incorporating it into qualitative analysis;
· Electronic library databases – monitoring research activities, publications, and bibliographic indicators.
These technologies enable accurate, prompt, and systematic data collection and contribute to the effective organization of education quality monitoring.
4. Transparency and Communication to Stakeholders
At the university, the relevant part of the analyzed data is communicated to stakeholders in an open and systematic manner. This process is carried out in strict compliance with the principles of transparency, as well as confidentiality and personal data protection requirements.
· Internal stakeholders – students, faculty members, and management receive information through the university intranet, email notifications, and regular meetings.
· External stakeholders – information for accreditation agencies, partner universities, and employers is presented through official reports, the university website, statistical booklets, and press releases.
· Ensuring confidentiality – in all processes, current legislation on personal data protection and the university’s internal regulations are strictly observed.
This mechanism ensures the transparency of university activities, strengthens effective cooperation with stakeholders, and enhances the reliability of education quality monitoring.
5. Continuous Improvement
At the university, the information management system is regularly updated in accordance with modern requirements and user needs. This process serves to increase the system’s effectiveness and further develop the quality of education.
· Implementation of KPIs – developing and monitoring the university’s Key Performance Indicators based on the collected data;
· User training – organizing regular training sessions and seminars for teachers, staff, and students on the effective use of the information system.
This approach ensures the relevance of the information management system, improves quality monitoring processes, and supports strategic management with accurate data.
