This historical exploration of the development of the academic workforce in the UK and France was triggered by the observation of significant similarities in contemporary debates on casualisation, and segmentation despite their distinctive HE systems. We develop a quantitative history of academic staff to understand why the differences in the two…

Businesses use data to enhance operational performance, creating demand for professionally trained data/business analytics graduates. Universities offer a variety of academic programs in response to the increasing labor market demands. Yet, research on how well educational offerings adapt to market demand is scant. This paper aims to evaluate how…

The feedback between vocational education and training (VET) and the labour market can provide important input for the review and renewal of qualifications. A feedback loop that is based on learning outcomes helps provide deeper insights into what is required on the labour market, what is offered in training provisions and assessed at the end of a…

Purpose: This study aims to explore the findings related to data literacy skills for students to succeed in the digital age labor market and the role of university-industry collaborations (UICs) in the co-design and co-delivery of curriculum for the development of students' data literacy. Design/methodology/approach: The study uses an…

This article explores utilizing a post-graduation success lens to help community college leaders frame the challenges of achieving equitable improvement for their students. Specifically, it posits that providing and exploring customized labor market data presented in an accessible format can help institutional leaders provide a "true…

The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…

State policymakers recognize the economic imperative to ensure that education and training are connected to good jobs. Employers are seeking -- and are often struggling -- to hire appropriately skilled workers. For job seekers, the path to a good job with education beyond a high school diploma is certainly clearer than one without postsecondary…

We study the 1992 higher education expansion reform in Turkey and examine how the expansion program changed higher education attainment and labor market access, particularly for women, who are disadvantaged on both accounts. We use the 2011 Population and Housing Census and employ a difference-in-differences estimation strategy. We find that the…

The COVID-19 pandemic upended the U.S. education system and the economy in ways that dramatically affected the jobs of K-12 educators. However, data limitations have led to considerable uncertainty and conflicting reports about the nature of staffing challenges in schools. We draw on education employment data from the Bureau of Labor Statistics…

This technical report provides an overview of the datasets and methodology used in the main report, "Investigating the Potential Use of Long-Term School and College Destination Measures. Final Report" (see ED619071). The purpose of the main report is to investigate the potential for using Department for Education's (DfE's) Longitudinal…

The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…

The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…

In this article, the authors illustrate the use of Bloomberg for analyzing topics in macroeconomics and monetary policy in economics and finance courses. The hands-on experience that students gain from such a course has many benefits, including deeper learning and clearer understanding of data. The authors describe goals and learning objectives,…

This dissertation develops and applies sophisticated Item Response Theory (IRT) methods to address fundamental measurement challenges in cognitive testing, focusing on the Armed Services Vocational Aptitude Battery (ASVAB) data from the National Longitudinal Survey of Youth (NLSY). The first chapter implements a confirmatory multidimensional IRT…

We are experiencing a significant shift in management practices--moving from intuition, experience, and gut-feeling driven decision-making to one that is driven by data, evidence, and computational sciences. This shift, which is often called the "analytics revolution," is not only changing the business landscape from a practical…