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Drawing from the inclusive pedagogical approach in action framework and Pierre Bourdieu’s social theory concepts of habitus, field and capital, this chapter positions literacy and numeracy learning as core components of further learning, and living successfully in the world. It addresses learner diversity in early childhood settings and recognises the uniqueness of every child within the context of a broad range of cultural knowledge. The chapter concludes with two sample lessons and reflective questions, which early childhood teachers can use as models to expand children’s literacy and numeracy concepts, enabling creative and critical interactions across a range of modes in the context of everyday life across families and cultures.

Being numerate involves the ability to use mathematical knowledge meaningfully across multiple contexts allowing us to order our day, optimise our health and well-being, and function in technology rich environments. Addressing numeracy from the early years of learning, and across all areas of the education curriculum, is key to lifelong learning and quality of life. Being numerate, however, is more than mathematical knowledge; the language that underpins it heavily impacts how we become numerate. This chapter examines numeracy, or mathematical literacy, investigating how literacy can include, and exclude, students from opportunities to learn at school and beyond. This chapter will also examine how numeracy can be used to provide access to educational curricula and personalised goals for students with diverse learning needs in ways that many have ignored.

Using a national data set from the Early Childhood Longitudinal Study – Birth Cohort, we examined factors associated with approximately 700 young African American boys’ pre-academic skills. The factors examined included (a) family characteristics, behaviors, and beliefs; (b) nonparental care literacy activities; and (c) child health, aggression, and approaches to learning (e.g., curiosity, independence, and persistence). High achieving boys are contrasted with other boys, along the following dimensions: familial, early childhood program, child characteristics and practices and their pre-academic skills, and whether the association was moderated by achievement status. Regression analyses indicated that some aspects of family, preschool, and child characteristics were associated with African American boys’ early outcomes, especially parental caretaking (e.g., bathing and brushing teeth) and approaches to learning (e.g., persistence and attention). Recommendations for educational practices and policies were offered.

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.

At the beginning of children's school careers, large differences already exist between children in their mathematical skills and knowledge. Preparatory math skills such as counting and Piagetian operations are important predictors of later math learning disabilities. However, little research has been conducted on the underlying processes that could explain or predict these preparatory math skills. Traditionally, intelligence has been viewed, next to language (vocabulary), as an important predictor of school success in general and math performance in specific. However, recent studies suggest that other, more fluid, domain-general cognitive processes, such as working memory and executive functions, are better predictors than traditional IQ scores. This chapter reports on two studies in which the relations between early mathematics and different working memory components are investigated. In the first study, the relations between the Early Numeracy Test (ENT) and five working memory aspects have been studied in a correlational study with 240 kindergartners. The following working memory components can be distinguished: the central executive controlling system, the phonological component, and the visuospatial component. In this study, three distinctive executive functions were measured: inhibition, shifting, and planning. The results show that phonological working memory, shifting, and planning are highly related to children's early math competence. Together, these functions can explain 50% of the total variance in early math. In a second study under 111 kindergartners, it was found that the scores on the ENT are moderately related to the executive function planning. Contrary to the expectations, intelligence was more related to preparatory math skills than planning. However, in a short training study with 15 low performing children, it was found that children's planning scores could better predict their improvement than intelligence: children low in planning did not profit as much from the training as children with higher planning capacities. The results of these studies emphasize the need for further research on the relations between working memory processes and preparatory math skills. These processes seem to play an important role in the origin of math learning difficulties. The results of the second study also suggest that remediation of early math learning difficulties should be adapted according to children's cognitive profiles regarding working memory and executive functions.

Project REEL (Resources for Early Educator Learning) was a quasi-experimental, delayed-treatment professional development (PD) design to provide training, coaching, and materials to 220 early childhood educators (ECEs) in 85 diverse, high-needs settings (family, group, and center-based) across Tennessee. Its two primary goals were to (1) increase the frequency of research-based classroom learning experiences that promote language/literacy, numeracy, and social/emotional development among diverse early learners through training and coaching to ECEs and (2) improve the language/literacy, numeracy, and social/emotional readiness of children in low-income areas through research-based training of ECEs and parents. Even with differences in ECEs’ educational backgrounds and diverse settings, teachers in both treatment groups improved and maintained their knowledge and skills in response to the intervention. Preschool children in two cohorts showed significant improvements in most language and literacy measures over the course of an academic year, and improvements were often beyond that due to maturation (using age-controlled measures). Given the amount of improvement seen across a wide array of measures, there is substantial convergent evidence that the Project REEL PD approach was successful in promoting long-lasting improvements in the practices of ECEs in diverse settings and from diverse backgrounds. This chapter follows the development, implementation, and results of two literacy-related modules (“Print Awareness” and “Book Strategies”) for directors and teachers of three- and four-year-olds. These modules are representative of our training design, with its intensive focus on coaching in the diverse settings, and will provide the most beneficial model for other ECE professional developers to follow.

Purpose: This chapter aims to analyse the current literature on the supply and demand for skills in the UK labour market to identify key trends and themes around skill mismatch, identify gaps and areas for future research.

Method: Selected articles were analysed to identify key themes and trends in the existing literature.

Findings: The overall finding is that the UK labour market suffers from various forms of widespread skill mismatch, but most particularly in the form of skill shortage. The areas with the most notable skill shortage highlighted in the literature include basic literacy, numeracy and digital; employability including leadership and management; STEM and health-related areas; teaching and training and a range of higher-level skills (including leadership and management, digital and creative, and industry-specific skills in STEM and health-related sectors, financial and business services, technology media and telecommunications, as well as teaching and training). Skill mismatch in the form of skill shortages in these areas is projected to worsen considerably by 2030, with some areas expected to suffer acute shortages by this time. Continued improvements to the education system will help to ensure the pipeline of future workers. However, changes to the education system are unlikely to impact on 80% of the future 2030 workforce who are already working and active in the UK labour market.

Originality/value of paper: The chapter provides a review of key literature in the field and aggregates key findings, so a wider picture of the extent and nature of the UK's skill mismatch challenge can be appreciated.

This research explores how skill proficiencies are distributed between low-income and not-in low-income groups using the results of a highly complex survey of the information-processing skills of Canadians between the ages of 16 and 65. We find that having measures of skills enhances our understanding of the correlates of low income. Skills have an independent effect, even when controlling for other known correlates of low income, and their inclusion reduces the independent effect of education and immigrant status. This result is relevant for public policy development as the knowledge of the skills profile of the low-income population can inform the design of efficient and effective programmes.

This chapter will examine the interplay among actors who took part in the process of consensus building towards a post-2015 education agenda via different channels of global governance, including both formal and informal channels.

Most of the forums and entities established as part of the global governance structure are composed of representatives from UN or UNESCO member states, civil society organizations (CSOs) and UN agencies. However, each of these categories has diverse constituent groups; representing these groups is not as straightforward a task as the governance structure seems to assume. Therefore, based on interviews and qualitative text analysis, this chapter will introduce major groups of actors and their major issues of concern, decision-making structure, mode of communication and relationship with other actors. Then, based on an understanding of the characteristics of the various channels and actors, it will present the structural issues that arose during the analysis of post-2015 discourse and the educational issues that emerged as the shared concerns of the ‘education community’. While most of the analysis to untangle the nature of discourse relies on qualitative analysis of texts and interviews, the end of this chapter will also demonstrate the trends of discourse in quantitative terms.

What was the post-2015 discourse for the so-called education community, which in itself has an ambiguous and virtual existence? The keywords post-2015 and post-EFA provide us with an opportunity to untangle how shared norms and codes of conduct were shaped at the global scale.