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In an ever-interconnected world dominated by discourses on the internationalization and marketization of higher education, concerns related to language and employability have been the focus of recent debates. There is, however, a dearth of research investigating how these dimensions relate to one another in recent comparative and international higher education research. By focusing on how issues related to language and employability have been presented in recent higher education research worldwide, this chapter aims to contribute to our understanding of this concern. To achieve this goal, we conducted a scoping literature review using the Web of Science, Scopus, and the Education Resources Information Center (ERIC) databases, considering the years 2011–2020. The findings, perhaps not surprisingly, suggested that language skills are perceived to be valued by both graduates and employers though the discussions predominantly focused on one language, English. The research focus on English for employability in Anglophone contexts is understandable. However, the fact that the trend is observed in contexts where the language is not the primary or official language seems to indicate the influence of internationalization of higher education and global labor markets primarily dominated by English. The literature also suggested that (English) language training in higher education programs needs to move from solely linguistic and qualification-related content areas to a broader sphere of English for communication purposes that cover both specialized disciplinary content and broader generic employability skills. Considering this finding, we suggest that higher education systems and institutions incorporate recent developments in English for occupational purposes in their curriculum. We also recommend that there needs to be a shift from the overwhelmingly English language-dominated discussions to more inclusive research that assesses the impact of other dominant languages on employability-related concerns.

The prevalence and stability of marriage has declined in the United States as the economic lives of men and women have converged. Family change has not been uniform, however, and the widening gaps in marital status, relationship stability, and childbearing between socioeconomic groups raise concerns about child well-being in poor families and future inequality. This paper uses data from a recent cohort of young adults – Wave IV of the National Longitudinal Study of Adolescent Health – to investigate whether disparities in cognitive ability and non-cognitive skills contribute to this gap. Blinder–Oaxaca decompositions of differences in key family outcomes across education groups show that, though individual non-cognitive traits are significantly associated with union status, relationship instability, and single motherhood, they collectively make no significant contribution to the explanation of educational gaps for almost all of these outcomes. Measured skills can explain as much as 25 percent of differences in these outcomes by family background (measured by mother’s education), but this effect disappears when own education is added to the model. Both cognitive and non-cognitive skills are strongly predictive of educational attainment but, conditional on education, explain very little of the socioeconomic gaps in family outcomes for young adults.

This chapter contributes to the field of educational standardisation by analysing and discussing the relationship between risk conceptions, standards and subjectivation in education. The empirical case for investigation is the implementation of a new interdisciplinary topic in Norwegian curriculum, called ‘health and life skills’, a topic that has gained momentum in educational systems worldwide in recent decades. We perform a theoretical reading of policy and curriculum document through the perspective of Foucault's notion of governmentality. Our reading suggests understanding ‘health and life skills’ as a soft governance practice, instigating ‘standards of the self’ that direct and control the conduct of young people in the Norwegian curriculum. Furthermore, the chapter discusses how becoming a subject in modern education implies acquiring a set of standard skills derived from societally perceived risks thought to affect the mental and physical health of young people. Building on this analysis, we discuss if standards can be regarded as measures aimed at managing and safeguarding against societal risks, and the consequences this may have for subjectivation processes in education.

Assessing learners with extensive support needs has traditionally been rooted in deficit perspectives, in which student incapacities are highlighted. We start this chapter with an overview of this historical view and identify its shortcomings. Next, we identify alternate assessment and progress monitoring as key efforts for shifting the lens from deficit-oriented assessment toward more grade-aligned, inclusive-, and strengths-based strategies. We also identify strategies for comprehensive assessment that can continue this shift in approach. Finally, we conclude with ideas for future directions in assessing learners with extensive support needs.

Industry 4.0 or the Fourth Industrial Revolution is characterized by robotic process automation and machine-to-machine communications. Since computers, machines, and robots share information and knowledge more swiftly and effectively than humans, the question is what human beings' role could be in the era of the Internet-of-Thing. The answer would be beneficial to institutions for higher education to anticipate. The literature reveals a gap between the intended learning outcomes in higher education institutions and the needs of employers in Industry 4.0. Evidence is shown that higher education mainly focused on knowledge (know-what) and theory-based (know-why) intended learning outcomes. However, competent professionals require knowledge (know-what), understanding of the theory (know-why), professional (know-how) and interpersonal skills (know-how and know-who), and need intrapersonal traits such as creativeness, persistence, a result-driven attitude et cetera. Therefore, intended learning outcomes in higher education should also develop interpersonal skills and intrapersonal characteristics. Yet, personality development is a personal effort vital for contemporary challenges. The history of the preceding industrial revolutions showed the drawbacks of personality and character education; politicians have abused it to control societies in the 19th and 20th centuries. In the discussion section, the institutions for higher education are alerted that the societal challenges of the twenty-first century could lead to a form of personality education that is not in the student's interest and would violate Isaiah Berlin's philosophical concept of ‘positive freedom’.

The term intellectual disability is broad and encompassing. Regardless of the severity of a child’s intellectual disability, early education is important. This chapter discusses educational considerations of young learners with intellectual disability. Specially, the chapter focuses on academics, life skills, social skills and social development, and behavior. Instructional content and instructional strategies are shared for these areas considering young children, although particular attention in paid to preschool and early elementary age students.

The aim of the chapter is to develop some approaches to turn education, predetermining the quality of human capital, into the most important factor of national inclusive development. This problem is titled by the World Bank Report (2018) as “Learning: to realize education’s promise.” There has been revealed a fundamental contradiction between the two processes: the training technology is improved, the treasury of knowledge is enriched, the scientific progress accelerates, on one side, but on the other side, according to the international Program for International Student Assessment (PISA) study (2015), about 28% of the Russian 15-year-olds, for example, did not master the minimum necessary skills in at least one area of the three (natural science, mathematics, and communication in their native language). Meanwhile the correlation between educational and economic “failures” is high. Reduction in school failure in half (up to 15%) corresponds to the growth of the country’s GDP by 2% at the perspective of 10 years, by 5–6% – in 20 years, and by over 10% – in 30 years. The authors identify and substantiate the most important factor of the low basic knowledge of schoolchildren: it deals with the phenomenon of stable psychological and cognitive barriers in their minds. As a result of this theory, a model of educational consciousness has been developed, which makes it possible to overcome educational failure and to form algorithms for successful learning.

This study presents an innovative approach to Information and communication technology (ICT) skill training and employment generation for out-of-school and disadvantaged youths in Africa. With technical and policy assistance from the World Bank, ICTs can be used to revitalize technical and vocational training to meet skill and employment needs of disadvantaged youths in the region. The deplorable conditions of out-of-school youth and the state of secondary education in Africa underscore the urgency to engage disadvantaged youth in productive economic activities. An ICT-enhanced technical and vocational training program in Africa provides both private and social gains: it provides economic prospects for disadvantaged youth and; it adds to the development of the knowledge economy in Africa. The NairoBits Digital Design School in Kenya is presented as a model of a vocational and training school that uses ICTs to improve skill formation among disadvantaged youths in informal settlements in urban Africa. Meeting the objectives of an ICT-based training and employment generation program for underprivileged youth in Africa require strong regulatory frameworks and contributions from the World Bank. The involvement of the bank, particularly through private sector grants for ICT skill train in Africa will help to revitalize technical and vocational education and training in the region. Above all, the collaboration of government agencies, private businesses, other international development agencies and civil society groups in ICT skill training will help to meaningfully engage African youths in the development of their communities in the emerging knowledge economy.

We use OECD-PIAAC data to estimate the earnings effects of both years of education and of numerical skills. Our identification strategy exploits differential exposure to educational reforms across birth cohorts and countries. We find that education has the strongest earnings effect. A one standard deviation increase in years of education raises earnings by almost 22 percentage points (corresponding to a return to education above 7 percentage points), which compares with a lower percentage points return to an equivalent increase in numerical skills. Our results suggest that the same set of unobservables drives the accumulation of both formal years of education and numeracy skills. OLS estimates underestimate returns to human capital, consistently with the idea that educational reforms favor the human capital acquisition of abler children from disadvantaged parental backgrounds. When we consider numerical skills alone education reforms cannot identify any significant effect of skills on wages, however, when we jointly consider schooling and skills as endogenous factors in a recursive structure we find a significant role for skills in determining wages.

Utilizing work task data drawn from the OECD’s Survey of Adult Skills of 2011–2012 and 2014–2015, we derive a new skills-based indicator of graduate jobs, termed ISCO(HE)2008, for 31 countries. The indicator generates a plausible distribution of graduate occupations and explains graduates’ wages and job satisfaction better than hitherto existing indicators. Unlike with the traditional classifier, several jobs in major group 3 “Technicians and Associate Professionals” require higher education in many countries. Altogether, almost a third of labor is deployed in graduate jobs in the 31 countries, but with large cross-national differences. Industry and establishment-size composition can account for some of the variation. In addition, two indicators of the relative quality of the higher education system also contribute to the variation in the prevalence of graduate jobs across countries.