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In this study, the variables having impact on the student motivation have been analyzed based on the articles, conference papers, master's theses and doctoral dissertations published in the years 2000-2017. A total of 165 research papers were selected for the research material and the data were collected through qualitative research techniques through document review and content analysis. According to the research results, the most important factors affecting student motivation are the fields of teacher, teachers' classroom management skills and their teaching methods. In this research, factors having less influence on the student motivation are parental communication, student characteristics and study fields. In addition, relational search type was used more than others, mostly students were selected as the study group and most researches were conducted in USA and Turkey.

Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated substages, this current paper computes the educational economy efficiency of the Organisation for Economic Co-operation and Development (OECD) countries bearing in mind the characteristics related to SDGs. The contribution of our study is the use of a novel approach to computing the educational economy efficiency using relational network DEA with GAMS. Even though some interesting differences reveal in the efficiency of the countries, the findings show that countries with high-efficiency scores are clustered around countries like Latvia, Slovenia, and Korea.

Purpose: This paper aims to explore structural and systemic influences in the development of competence models and qualifications systems at sectoral and national levels across Europe, considering the influences of different socio-economic models of skill formation on the processes of design and provision of qualifications. Design/methodology/approach: The paper is based on a meta analysis of three European projects that used literature review, documentary analysis and interviews with practitioners and policy makers. Findings: The main methodological and practical challenges posed by varieties of competence and qualifications to inter-country comparability of qualifications are shown to be related to different socio-economic models of skill formation. Research limitations/implications: The research is limited to 13 countries and four sectors but these were carefully selected to maximise coverage of European diversity with respect to competence models, training regimes and approaches to qualifications. There is clearly a need for further research involving more countries and sectors. Practical implications: The paper offers recommendations for improving the potential of the European Qualifications Framework to promote comparability of qualifications and hence mobility of labour. These recommendations will be of interest to policy makers and practitioners involved in using the EQF and similar instruments. Originality/value: This is the first systematic attempt to explore the methodological and practical difficulties of establishing comparability between qualifications. (Contains 4 tables.)

Background: Data from the Programme for the International Assessment of Adult Competencies (PIAAC) revealed that countries systematically differ in their respondents' literacy, numeracy, and problem solving in technology-rich environments skills; skill levels also vary by gender, age, level of education or migration background. Similarly, systematic differences have been documented with respect to adults' participation in education, which can be considered as a means to develop and maintain skills. From a psychological perspective, motivation to learn is considered a key factor associated with both skill development and participation in (further) education. In order to account for motivation when analyzing PIAAC data, four items from the PIAAC background questionnaire were recently compiled into a motivation-to-learn scale. This scale has been found to be invariant (i.e., showing full weak and partial strong measurement invariance) across 21 countries. Methods: This paper presents further analyses using multiple-group graded response models to scrutinize the validity of the motivation-to-learn scale for group comparisons. Results: Results indicate at least partial strong measurement invariance across gender, age groups, level of education, and migration background in most countries under study (all CFI > 0.95, all RMSEA < 0.08). Thus, the scale is suitable for comparing both means and associations across these groups. Conclusions:Results are discussed in light of country characteristics, challenges of measurement invariance testing, and potential future research using PIAAC data.