首页|Future competences in mining (based on surveys, evaluations and opinions on the project Sectoral Qualifications Framework for Mining)
Future competences in mining (based on surveys, evaluations and opinions on the project Sectoral Qualifications Framework for Mining)
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NSTL
One of the stages of work on the Sectoral Qualifications Framework for Mining (SQFM) was to verify its initial design as a result of quantitative research using questionnaires and qualitative research through in-depth interviews (IDI). Their main goal was to identify the opinions and attitudes of respondents related to the mining industry towards the implemented SQFM project. Both people working in mining plants and in other companies and units related to the mining sector were invited to take part in the project. The expected result of the conducted research was the collection of material allowing for the verification of the provisions in terms of the needs and expectations of employers as to the qualifications of the employed employees and the assessment of the legitimacy of the proposed solutions. In designing the research, the use of qualitative and quantitative methods was assumed. This made it possible to triangulate the data - looking at the studied research problems from different perspectives, which was to influence the obtaining of empirical material allowing for the analysis of the discussed problems taking into account various points of view. As a result, the image of the needs in the area of increasing competences and the main deficits in the mining sector has crystallized.
competencesqualificationsPolish Qualifications FrameworkSectoral Qualifications Framework for the Mining Sector
ANETA NAPIERAJ、ALDONA URBANEK、MAREK BOROWSKI
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AGH University of Science and Technology al. A. Mickiewicza 30, 30-059 Krakow, Poland
JSW Szkolenie i Gornictwo ul. Weglowa 4, 44-268 Jastrzebie-Zdroj, Poland .
AGH University of Science and Technology al. A. Mickiewicza 30, 30-059 Krakow, Poland .
2021
Mining-Informatics Automation and Electrical Engineering
NSTL
