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This paper aims to present an impact analysis in the educational dimension of the European Institute of Innovation and Technology (EIT) and specifically on its “knowledge and innovation community” (KIC), focused on the information and communications technology sector named “EIT Digital” in the university field.

After reviewing the current situation on education in ICT-related engineering and the need to address new professional profiles and/or complement the current ones to increase the value of the new professionals in a globalised society, the principles behind the EIT model are analysed, taking the experience accumulated in EIT Digital as a basis for discussion at master level.

The conceptual framework on “what” and “how” of the EIT described from the educational perspective constituted sound bases for ensuring the value of the EIT KICs as drivers for institutional innovation and structural reform. As the practical experience of Universidad Politécnica de Madrid (UPM) shows, the policy experimentation space provided by EIT Digital has acted as an internal transformation driver for European universities. It has played a key role to accelerate structural reforms once partner universities assumed the need of modifying or reinterpreting “any internal regulation to participate better in the EIT”.

This analysis is used as a basis for the design of an institutional agenda of education transformation in the rest of the UPM where the innovation and entrepreneurship vision is inserted into the technical education to give future professionals the tools and capacities to serve as catalyser agents of the innovation system.

The purpose of this study is to determine the competency characteristics required for the employment of master’s degree students in educational technology.

A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were extracted from Chinese recruitment apps, national recruitment websites and university training programs. Ten senior teacher experts who teach educational technology master’s students were consulted through a questionnaire consultation to validate the proposed competency model. The weights of competency characteristics were determined through a combination of the analytic hierarchy process and entropy method.

The results show that when recruiting educational technology master’s students, more emphasis is placed on operational skills. The majority of companies tend to assess practical abilities rather than theoretical knowledge. Relevant knowledge of educational technology, psychology, computer science and education is considered to be the basic knowledge components of educational technology master’s students, while professional skills are the core skills required for their positions. Therefore, universities need to focus on training, educational technology graduate students in these areas of competence. The study also found that professional qualities (such as physical and mental fitness) and personality traits (interpersonal communication and interaction) receive more attention from companies and are essential competencies for educational technology master’s students.

A competence model for educational technology master’s students is proposed, which includes aspects such as knowledge, personal skills/abilities, professional qualities and personality traits. The competence elements included in this model can serve as reference indicators for universities to cultivate the competence of educational technology master’s students, as well as reference points for recruiting units to help them select talents. This represents a new dimension in research related to the employment of educational technology master’s students. The study enriches the research objects and competence dictionary in the field of competence research.

The current expansion of the knowledge economy and its requirements of highly educated workers make interesting to analyse the effects on the labour market outcomes of completing a master's degree. This study examines the factors determining the probability of pursuing a postgraduate programme and observes whether workers reaching this educational attainment reap the benefits of their human capital investment through better paid jobs compared to college-only degree holders. On the other hand, it analyses whether individuals with a master's degree are more prone to upward wage mobility.

The study relies on data obtained from the second survey on the Labour Insertion of University Graduates conducted by the National Statistics Institute (INE, 2019). This survey allows us to observe labour market transitions of the first group of Spanish university graduates under the European Higher Education Area (EHEA) and their earnings. The methodological procedure consists of the estimation of wage models controlling for the unobservable differences between workers who have or have not completed a master's degree.

The results indicate a significant positive impact of master's degree on salaries. Furthermore, individuals with postgraduate studies are more prone to upward wage mobility in comparison to college-only degree holders.

Data used does not allow us to identify which competences associated with the completion of a master's degree are more remunerated by employers.

The econometric specification applied allows us to compute the direct effect of a master's degree on wages and predict the average probability that an individual is in a determined wage interval according to the knowledge area and controlling by the rest of characteristics.

The findings are helpful to diagnose and understand how the knowledge acquired through postgraduate studies are rewarded by the labour market, which is essential to evaluate the return on educational investments when making decisions about whether or not to continue postgraduate studies.

This research addresses novelty aspects on tertiary education in Spain and its effects on workers' careers.

Education system stimulates the development of human capital and provides informative signaling allowing to differentiate productivity of individuals. If education system is efficient then higher levels of education usually associated with greater returns on labor market. To evaluate the efficiency of Russian education system we aim to estimate the effect of vocational education and different levels of higher education on wages.

We use data on 8,764 individuals in the years 2019–2021. Our statistical approach addresses two critical issues: nonrandom selection into employment and the endogeneity of education choice. To tackle these problems, we employed Heckman’s method and its extension that is a structural model which addresses the issue of self-selection into different levels of education.

The results of the analysis suggest that there is a significant heterogeneity in the returns to different levels of education. First, higher education, in general, offers substantial wage premiums when compared to vocational education. Specifically, individuals with specialist’s and bachelor’s degrees enjoy higher wage premiums of approximately 23.59–24.04% and 16.43–16.49%, respectively, compared to those with vocational education. Furthermore, we observe a significant dis-parity in returns among the various levels of higher education. Master’s degree provides a substantial wage premium in comparison to both bachelor’s (19.79–20.96%) and specialist’s (12.64–13.41%) degrees. Moreover, specialist degree offers a 7.16–7.55% higher wage premium than bachelor’s degree.

We identify a hierarchical pattern in the returns associated with different levels of higher education in Russia, specifically “bachelor-specialist-master.” These findings indicate that each level of education in Russia serves as a distinct signal in the labor market, facilitating employers' ability to differentiate between workers. From a policy perspective, our results suggest the potential benefits of offering opportunities to transition from specialist’s to master’s degrees on a tuition-free basis. Such a policy may enhance access to advanced education and potentially lead to higher returns for individuals in the labor market.

There are many studies on returns to higher education in Russia. However, just few of them estimate the returns to different levels of higher education. Also, these studies usually do not address the issue of the endogeneity arising because of self-selection into different levels of education. Our structural econometric model allows addressing for this issue and provides consistent estimates of returns to different levels of education under the assumption that individuals with higher propensity to education obtain higher levels of education.

A modern trend in the educational environment in recent years has been the permanent education system with the involvement of online study modes. It is based on multidisciplinarity and adaptivity of educational technologies, starting with the basic level of education – bachelor’s degree, and ending with gaining competences in the field of engineering and economics throughout the whole professional life of a student. The purpose of this paper is to perform a detailed analysis of development of permanent education in Russian universities, focusing on statistical data on popularity of jobs as to professional groups among employers and determining peculiarities of permanent education, based on the distinguished peculiarities of permanent education and requirements of business to develop a model of engineering and managerial education that would integrate two blocks of the educational process – engineering and economic, as well as include modern technologies of teaching.

The authors propose the modern model of engineering management education that is implemented in the Russian technical universities. Its distinctive feature as compared to the conventional educational technologies is gaining competences in the field of economics and management at the same time with engineering education at the second stage of education – the master’s program. The proposed model of engineering and management education results in obtainment of two diplomas by the student who is awarded with a master’s degree in engineering and a master’s degree in economics. A difference of the offered model from the traditional educational technologies is obtaining competences in the sphere of economics and management together with engineering education at the master’s program. The result of the offered model of engineering and managerial education is graduate’s receiving two diplomas with master’s degree of engineer and master of economics. The paper shows the existing mechanism of implementing the model of engineering and economic education in a technical university by the example of the master’s program in Economics “Evaluation of economic risks during technological decisions (in oil processing and oil chemistry).”

The offered model of engineering and managerial education will allow training the engineers of a new type, who will be able to adapt to new tendencies and initiate the changes that are necessary for effective functioning of business in the conditions of digital economy.

The offered model of engineering and managerial education should be acknowledged as an innovational educational project that raises demand for graduates through their adaptability to employer’s needs and their usage of new tools of management that are based on exchange of information data and that form managerial task for information provision of the process of decision making and their further execution.

Many master’s students enrol in coursework-based programmes to improve their professional knowledge and skills for the job market. Most studies of employability in higher education focus on undergraduates rather than master’s students, although the number of master’s students worldwide has increased significantly in recent years. This study explores the factors involved in the perceived employability (PE) of master’s students in Hong Kong.

The authors first proposed a conceptual model of PE based on the social cognitive career theory. Using survey data from 786 master’s students in Hong Kong, the authors applied descriptive statistics and an ordinary least squares (OLS) regression to address the following research questions: How do master’s students gauge their PE? How do person, learning and environment variables influence the PE of master’s students?

The authors found that PE is influenced by students' approaches to learning and their institutional career support.

Few studies examined whether students' learning experiences during the master’s programmes influence their employability. This study highlights the importance of learning experiences and career support in coursework-based master’s programmes for enhancing graduate employability.

This paper aims to examine the current state of education for sustainable development (ESD) at Chemnitz University of Technology (CUT) and to propose a guide for analysing sustainability at higher education institutions (HEI) in terms of implementation of the sustainable development goals (SDGs) and sustainability dimensions in the cognitive domain of education.

This paper uses a new combination of two frameworks, the “Phase Model of Sustainability in MBA (Master of Business Administration) Education”, developed by Hart et al. (2017), to classify sustainability-focused topics and United Nations Educational, Scientific and Cultural Organization’s (UNESCO’s) learning objectives for ESD (UNESCO, 2017) to classify sustainability-related topics. This paper analysed CUT’s study programs and faculties, the websites of the study programs and the (junior) professorships, using documentary analysis with a new set of keywords relating to the topic of incorporating sustainability in curricula.

The faculties and study programs of CUT are at different stages of integrating ESD. However, topics such as sustainable energy and production, recycling, sustainable management and innovation are prominent in the educational offerings of CUT. As the university is a technical university, the focus on these topics reflects the general direction of the organisation. Based on this study results, this study gives recommendations for further development for ESD at CUT.

This paper presents the case of CUT and a new guide for analysing sustainability at HEI, including recommendations for further development in relation to ESD.

This article aims to draw a conceptual model that integrates the view from the entrepreneurial event model with entrepreneurial education and prior self-employment experience. The model tests the role of entrepreneurial education on the formation of intentions to become an entrepreneur and examines whether prior self-employed experiences moderate the route from entrepreneurial education, entrepreneurial perceived feasibility (PF) and perceived desirability (PD) into the entrepreneurial intention (EI).

The authors operated on a sample of 389 master's students by applying Cronbach's alpha, exploratory factor analysis, confirmatory factor analysis and structural equation modelling to illustrate the links between constructs.

The study found that entrepreneurial education is positively correlated with PF, PD, and intention to enter entrepreneurial activities. PD is determined as a partial mediator in the entrepreneurial education–intention link and full mediator in PF and EI. Moreover, the study revealed that prior self-employed experiences serve as a positive moderator in the path from entrepreneurial education and PD to EI.

The study offers several recommendations based on research findings so as to nurture and promote entrepreneurial activities among master's students.

The current research provides novel insights about the relationship between entrepreneurial education and intentions to become an entrepreneur over and about the central antecedents in the entrepreneurial event model and moderation effects of prior self-employed experiences.

This research study examined accounting and business administration education curricula at foreign universities and tested a model for measuring the level of management technology attained by a country. The primary focus of this research was the role of accounting and business education as input for a measurement model designed to aid in assessing the potential for the transfer of management technology. A factor analysis‐based technometric model to measure a country's degree of management technology sophistication was utilised. The model placed newly industrialised countries including Korea, India, China, Brazil, and Mexico at the top of the scale even though these countries do not have the highest Gross National Product (GNP) per capita. These results suggest that per capita GNP may not be a reasonable indicator of accounting and management technological potential, and that the technometric model utilised in this study may provide more accurate information regarding the transfer of accounting and management technology.

This chapter uses a college-by-graduate degree fixed effects estimator to evaluate the returns to 19 different graduate degrees for men and women. We find substantial variation across degrees, and evidence that OLS overestimates the returns to degrees with the highest average earnings and underestimates the returns to degrees with the lowest average earnings. Second, we decompose the impacts on earnings into effects on wage rates and effects on hours. For most degrees, the earnings gains come from increased wage rates, though hours play an important role in some degrees, such as medicine, especially for women. Third, we estimate the net present value and internal rate of return for each degree, which account for the time and monetary costs of degrees. Finally, we provide descriptive evidence that satisfaction gains are large for some degrees with smaller economic returns, such as education and humanities degrees, especially for men.