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Interest in higher education institutions (HEIs) as instruments for development has increased in recent years. The main objective of this paper is to address the contribution of HEIs to development through their missions, models, and challenges. With this purpose, we perform a historical analysis and characterise higher-education systems through the perspective of university models and missions, noticing relevant aspects regarding the evolution of this institution over time, as well as the transformations undergone. We also consider the main challenges that current higher education systems face in the 21st century. As methodological approaches, we carry out a literature review complemented by a comparative analysis based on data from the higher education systems of ten European countries. The findings show that HEIs can contribute to development through their missions, which are related to the models of higher education. Their first mission (teaching) contributes to improving human capital and attracting highly qualified people to their regions; the second mission (research) improves scientific knowledge which can foster innovative activities; and the third mission (community service) acts as a link between research and business, including patents, business incubators, and collaboration agreements. We also conclude that the challenges of higher education in the 21st century can be categorised essentially in three main areas: (1) globalisation and massification of higher education, as well as the internationalisation of HEIs' missions and diversification of the educational supply to attract new students; (2) new technologies related to the digitalisation of teaching and distance learning; and (3) higher education entrepreneurship, showing the importance of university-company relationships. This paper provides a global setting for a reflection on the role of HEIs in the 21st century, given their connection with society and the need for a more effective contribution to socio-economic development.

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.

Seamless learning has a significance that has been increasing in recent years, and an increasing number of studies on the subject in the literature draws attention. This study aimed to examine the research on seamless learning between 1996 and 2020 with the bibliometric analysis method. The Scopus database was used in the collection of the data. After various screening processes, a total of 389 publications were included in the analysis. Descriptive analysis and bibliometric analysis were used in the analysis of the data. The distribution of publications by years, types of publications, sources, and languages were analyzed in the research. Additionally, visual maps were created with analyses of co-author, cocitation, and co-word. At the end of the study, it was seen that there has been an increase in the number of publications from the past to the present, articles and papers were predominant, and that most of the studies were carried out in English. As a result of bibliometric analysis, it was concluded that the most efficient countries in seamless learning were the United Kingdom, the United States, and Singapore. Also, it has been determined that the National Institute of Education, Center for International Education and Exchange, and Kyushu University institutions are dominant. The most frequently mentioned authors cited in studies in many different fields are M. Sharples, L.-H. Wong, and H. Ogata. According to the co-word analysis, the keywords seamless learning, mobile learning, ubiquitous learning, and mobile-assisted language learning stand out in the field of seamless learning.

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.

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.