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The effects of career planning education
Marija Turnšek Mikačić, 2015, izvirni znanstveni članek

Opis: Research Question (RQ): We employed a qualitative approach to study the effects of career planning education, perceiving it as an effective way to gain a deeper understanding of introductorily-organised career education. Purpose: We researched important areas to formulate a questionnaire for quantitative analysis. Method: We used a qualitative research approach in order to develop a theoretical framework for the exploration, interpretation and identification of the impact of education on career plans, on the changing attitudes towards careers, the raising of self-esteem and perception of personal growth. We used Neuro-linguistic programming as a tool to develop and achieve personal excellence within the career planning. Results: We constructed a paradigmatic model and developed the final theory. By means of qualitative analysis, we identified the elements of design criteria for the construction of the questionnaire; we measured the effects of education on career plans. Organization: The findings of the research will prove useful in personal management and career management in the process of planning and organizing the promotion of individuals within the organizations in accordance with the needs of those organizations. Originality: A career plan as a building block of personal growth, based on the model of career education with the in-built elements and tools of NLP, has been confirmed by the most recent studies in neuroscience. This represents a novelty, and, therefore, this study offers a genuine contribution, and is an indicator of contemporary knowledge, based on the results of the research. Limitations/Future Research: The model of career education and the results of this study open new directions for further research of the influence of career planning on the organisation of companies and their success, which is the phase of the study which was not carried out.
Ključne besede: career planning, qualitative analysis, neuro-linguistic programming, personal excellence
Objavljeno: 02.08.2017; Ogledov: 105; Prenosov: 3
.pdf Celotno besedilo (636,67 KB)

New computational models for better predictions of the soil-compression index
Ahmet Demir, 2015, izvirni znanstveni članek

Opis: The compression index is one of the important soil parameters that are essential for geotechnical designs. Because laboratory and in-situ tests for determining the compression index (Cc) value are laborious, time consuming and costly, empirical formulas based on soil parameters are commonly used. Over the years a number of empirical formulas have been proposed to relate the compressibility to other soil parameters, such as the natural water content, the liquid limit, the plasticity index, the specific gravity. These empirical formulas provide good results for a specific test set, but cannot accurately or reliably predict the compression index from various test sets. The other disadvantage is that they tend to use a single parameter to estimate the compression index (Cc), even though Cc exhibits spatial characteristics depending on several soil parameters. This study presents the potential for Genetic Expression Programming (GEP) and the Adaptive Neuro-Fuzzy (ANFIS) computing paradigm to predict the compression index from soil parameters such as the natural water content, the liquid limit, the plastic index, the specific gravity and the void ratio. A total of 299 data sets collected from the literature were used to develop the models. The performance of the models was comprehensively evaluated using several statistical verification tools. The predicted results showed that the GEP and ANFIS models provided fairly promising approaches to the prediction of the compression index of soils and could provide a better performance than the empirical formulas.
Ključne besede: compression index, statistical analysis, genetic expression programming, adaptive neuro-fuzzy, empirical equations
Objavljeno: 14.06.2018; Ogledov: 28; Prenosov: 0
.pdf Celotno besedilo (274,65 KB)

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