ISCED Classification Influence on E-Learning Education Systems

Catalin Ionut Silvestru (), Virgil Ion (), Corina BOTEZ (constantin) () and Vasilica-Cristina Icociu ()

Informatica Economica, 2018, vol. 22, issue 4, 80-88

Abstract: The ISCED classification used in education is the most important step in designing and constructing forecasts and prevision models. The very basis of the classification is applicable both on the formal education and on the non-formal education. While the education process nowadays is conducted in universities, there are many categories of education providers that choose e-learning platforms. To better understand how their trajectory can be correct, the present article sustains the idea that the ISCED classification points e-learning platforms in the right direction. This direction is meant to compress the education idea to basic competencies, skills and learning outcomes that the graduate can acquire during the education process. Using variables collected on the base of the ISCED classification and statistical distributions, we present the e-learning concept in Romania. The article is divided into two main sections. The first section focuses on e-learning platforms and the percentage of the population that used such platforms for education. The second section presents the inclusion of the ISCED classification in e-learning platforms. Using the ISCED classification, we can conclude that people with higher levels of education have a higher chance of using e-learning instruments.

Keywords: E-learning; ISCED 1997; ISCED 2011; Online courses (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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