Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/16003
Title: The Assessment of the Key Competences for Lifelong Learning—The Fuzzy Model Approach for Sustainable Education
Authors: Aleksic, Aleksandar
Nestic, Snezana
Huber M.
Ljepava, Nikolina
Issue Date: 2022
Abstract: Contemporary education in higher education institutions has a goal to provide necessary competences determined by legislative demands, science trends and job market needs to graduated students intending to strengthen their employability. The main idea of this research is to assess the level of students’ competences for lifelong learning (LLL). Since it is a very complex task, it is characterized by a lack of information and the vagueness of the inherently subjective nature of human thinking. The uncertain values of the assessed level of students’ competences for LLL are represented by linguistic expressions which are modeled by the interval type 2 trapezoidal fuzzy numbers. Ranking of the level of students’ competences for LLL is stated as a fuzzy multi-criteria optimization task. The aggregation of students’ opinions into unique marks is given by using the proposed fuzzy Delphi technique. The rank of students’ competences for LLL is given by using the proposed fuzzy Simple Additive Weighting (FSAW). The order of measures that should be delivered to improve students’ competences is based on the obtained rank. The model is tested and discussed on the real data collected from a significant sample of the students with a proposal of future directions of the research.
URI: https://scidar.kg.ac.rs/handle/123456789/16003
Type: article
DOI: 10.3390/su14052686
ISSN: -
SCOPUS: 2-s2.0-85125784673
Appears in Collections:Faculty of Engineering, Kragujevac

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