Vol. 18 / 2023 – International Conference on Virtual Learning
Models for quality assurance in higher education area
Daniela OROZOVA, Nadezhda ANGELOVA, Stanka HADZHIKOLEVA, Emil HADZHIKOLEV
This paper examines some problems in quality assurance in higher education. The need to use specialized software systems to fully automate procedures and business processes for conducting assessment and accreditation procedures is motivated. Two quality assurance models are proposed, based on the idea of an automated transfer of information between higher schools and accrediting bodies - with stronger and weaker integration. The loosely centralized model provides greater opportunity for integration of the university's QA system with other internal systems of the institution and own control over business data. The highly centralized model minimizes the need for administrative support on the part of the higher school, but the possibilities for integration with available university systems are limited. A generalized net model of data processing for self-assessment procedures in higher education institution is also proposed in the paper.
Keywords:
Higher Education,
Quality Aassessment,
Accreditation,
Generalized Net Model
CITE THIS PAPER AS:
Daniela OROZOVA,
Nadezhda ANGELOVA,
Stanka HADZHIKOLEVA,
Emil HADZHIKOLEV,
"Models for quality assurance in higher education area",
International Conference on Virtual Learning,
ISSN 2971-9291, ISSN-L 1844-8933,
vol. 18,
pp. 133-146,
2023.
https://doi.org/10.58503/icvl-v18y202311