2013•Unpublished venueRequires access

Knowledge discovery from university information systems for purposes of quality assurance implementation

Ján Skalka, Martin Drlík, Peter Švec

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Abstract

The European Standards and Guidelines for Quality Assurance (ESG) present nowadays the most famous and frequently used documents in the field of quality assurance in higher education. The authors deal with the problem of ESG implementation at the university. They propose a model of support information system, which covers all parts defined in ESG. This model divides the problem of internal guidelines for quality assurance implementation into modules and schematically depicts their mutual relations. The authors discuss each module in detail and give reasons for their inclusion in the proposed model.

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What this paper is about

The European Standards and Guidelines for Quality Assurance (ESG) present nowadays the most famous and frequently used documents in the field of quality assurance in higher education. The authors deal with the problem of ESG implementation at the university. They propose a model of support information system, which covers all parts defined in ESG. This model divides the problem of internal guidelines for quality assurance implementation into modules and schematically depicts their mutual relations. The authors discuss each module in detail and give reasons for their inclusion in the proposed model.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The European Standards and Guidelines for Quality Assurance (ESG) present nowadays the most famous and frequently used documents in the field of quality assurance in higher education. The authors deal with the problem of ESG implementation at the university. They propose a model of support information system, which covers all parts defined in ESG. This model divides the problem of internal guidelines for quality assurance implementation into modules and schematically depicts their mutual relations. The authors discuss each module in detail and give reasons for their inclusion in the proposed model.

Key concepts: Quality assurance, Computer science, Field (mathematics), Quality (philosophy), Engineering management, Program assurance, Knowledge management, Engineering

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