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Charter schools have the potential to enhance competition in the public education sector. As such, they could have a particularly significant impact in the labor market for teachers. This study uses data on more than 312,000 teachers from 483 urban Texas school districts to explore the impact of charter school competition on the compensation of teachers at traditional public schools. The analysis suggests that once charter enrollments reach critical mass, increasing competition from charter schools increases salaries for all but the most experienced teachers.

This chapter reviews the empirical research on the supply of teachers in Latin America. The first part stresses the importance of teacher labor market perspectives for understanding the supply of high-quality teachers, one challenge that most countries in the region face. The second part introduces the teacher labor market framework that guides the search, while the third section describes the goal of the review and the methodology. It follows a mapping, description, and classification of the empirical research on the teacher supply and a discussion of the main findings. The chapter ends with a summary and a brief discussion of the implications for teacher policies.

Purpose – This chapter discusses an education law recently enacted in India – The Right of Children to Free and Compulsary Education – its implementation plan and potential implications, focusing on the teacher labor force composition and the teacher education system. The Right to Education Act specifies acceptable pupil–teacher ratios, levels of teacher vacancy in the school, qualifications required for teacher appointments, and terms and conditions for teacher hiring, among other things.Methodology – This study draws on government documents and reports to conduct a systematic analysis of existing data and historical trends. It generates an understanding of how this policy shapes the demand for teachers, the quality of the existing system, and its ability to respond to these increased demands.Findings – These policy changes intended to increase equity in teacher distribution may in the near future exacerbate inequities in access to quality teachers and teaching across India. The policy creates important and urgent changes in the Indian teacher labor force, and by extension, it demands changes in the Indian teacher education system. But that system may be unprepared to meet these goals. Therefore, the chapter underscores the need for reform in India's teacher education system, if this policy's mandate to provide equal access to quality education to all Indian children is to be fulfilled.Value – This chapter explains and analyzes a recent, large-scale teacher policy reform in a regionally diverse, developing nation with an urgent need to improve the quality of education received by its children.

Workforce analytics is an evolving measurement approach in human resource (HR) planning and strategy implementation. Workforce analytics can help organizations manage one of their most important resources: their human capital. The purpose of this paper is to propose a diversity metric, called the D-Metric, as a new tool for HR planning. The D-Metric can be used to assess the demographic representativeness of employees across skill categories of an organization’s workforce compared to its relevant labor markets.

The authors present a real example and discuss possible applications of the D-Metric in HRM strategic planning and diversity research.

The D-Metric is a statistic useful in assessing demographic representativeness in the occupational categories of an organization’s workforce compared to the demographics of its relevant labor markets. The methodology could be implemented to assess an organization’s work force representativeness on dimensions such as race, sex, age and pay levels. When the labor market is unitary, without measurable variance, a substitute metric, the U-Metric also presented in this paper, can be used.

Use of the D-Metric requires publicly available labor market data with variance across labor market segments.

There currently is no published metric that evaluates the representativeness of an organization’s work force relative to its relevant labor markets. Many organizations seek a demographically representative workforce to better understand their diverse customer segments. Monitoring the representativeness of an organization’s work force, as captured in Equal Employment Opportunity (EEO-1) forms in the USA, for example, is an important component of HR management strategy. From a legal perspective, the D-Metric or the alternative U-Metric, could be useful in showing progress toward a demographically representative work force.

Differences in the cost of living and the general attractiveness of communities lead to significant, regional differences in the prices school districts must pay for their most important resource – people. According to the most recent data from the National Center for Education Statistics, labor costs differ by more than 50% from the lowest-cost district to the highest-cost district within California, Florida, New York, Texas, and West Virginia. Furthermore, all states but Hawaii and Rhode Island face at least a 7.7% internal differential in labor cost. Most states fail to account for such cost differences in their school finance formulas, leading to inequitable differences in school district purchasing power. This chapter compares and contrasts the various strategies states use to make geographic cost adjustments to their school funding formula, describes the implications of geographic adjustment for interstate and intrastate measures of school finance equity (and corresponding litigation), and discusses the impact that such adjustments could have on the distribution of federal aid for economically disadvantaged students under Title 1 of the Elementary and Secondary Education Act.

The purpose of this paper is to consider how the level and structure of teacher salaries affect student outcomes and the possibility of improving student achievement in the USA.

The analysis integrates an underlying economic model of the role of salaries in the teacher labor market with existing empirical results.

Much of the current policy discussion about teacher salaries is very unclear about how student outcomes will be affected by changing policies. The US is at a “bad equilibrium” where it cannot increase salaries for effective teachers without increasing salaries for ineffective teachers and thus it is stuck with a teaching corps that is harming both students and the future economic performance of the country. Dealing with problems of the productivity of schools must involve altering the structure of the single salary schedule for teachers.

The discussion focusses exclusively on the US schooling system, although there are obvious parallels to systems in other countries.

The paper provides an overarching model of how the structure of salaries for teachers has broad implications of school outcomes.

Improved long-run economic outcomes depend crucially on reforms that involve rewarding the most effective teachers but not the least effective.

The integrated approach to the consideration of teacher salaries provides a way of assessing the discordant policy discussions related to teacher salaries.

Recent teacher evaluation reforms around the globe substantially increased the number of teacher observations, consequently raising observers' (typically school administrators') observational loads. The purpose of this study is to examine associations between observational loads and school administrator turnover, reported time use and strain.

The study uses education administrative data from the state of Tennessee to examine the link between observational loads and school administrator outcomes of interest. The results present credible regression estimates that isolate variation in observational loads within schools over time and within observers over time.

The evidence suggests individual school administrators allocate a set amount of time to observations that is insensitive to observational load and seemingly assign observations to colleagues strategically. School administrator reports do not suggest observational loads are associated with negative unintended consequences on administrator strain or observer turnover.

The study contributes to the literature on teacher evaluation by shedding light on how the constraints posed by an evaluation system may affect the work of school administrators. It also extends the job demands-resources theory that describes worker responses to new job demands.

The purpose of this paper is to measure individual intellectual capital (IC) of academic staff as well as to test its impact on the employability readiness of future graduates and the reduction of the discrepancy between competencies developed and grades obtained with the help of two indicators, i.e. intellectual capital indicator (ICI) and employability readiness indicator (ERI). While ICI measures the level of a teacher’s competencies to be transmitted in the education process, ERI measures the level of a student’s competencies developed after completing relevant courses.

This is an empirical research carried out in the form of a case study. Regression model is applied to find the influence of ICI on ERI. The minimisation problem is set with relevant constraints to decrease the discrepancy between ERI and traditional grade point average (GPA).

The data were collected at one Kazakh university and from experts from academia and industry by means of documentary analysis, specialised tests and structured interviews. The direct impact of ICI on ERI is confirmed and the optimal level of ICI that permits an effective decrease in the discrepancy between ERI and GPA is identified.

A longitudinal study covering more programmes is necessary to draw conclusions concerning causality. The application of ICI as a university’s management tool is shown.

The novelty of this study lies in providing a consistent and simple approach for calculating a teacher’s IC and its impact on a student’s employability readiness.

This study builds on previous theoretical work that considered artificial intelligence (AI) and its potential for creating “teacher-centaurs” whose labor could be accelerated through the use of generative AI (Fassbender, in review). The purpose of this paper is to use empirical methods to study centaur teachers and the division of labor (Durkheim, 1893/2013) that arise from outsourcing teaching tasks to AI.

Multiple case study (Stake, 2006) was used to collect data on two secondary English teachers who were early adopters of generative AI. Data included semi-structured interviews as well as ChatGPT chat logs, which helped in describing how teaching approaches evolved using AI technology.

Results showed that teachers used AI for planning, instruction and assessment. AI-augmented teaching practices allowed teachers to complete tasks with greater speed, which in turn increased stamina and short-term work–life balance. Given the novelty of AI, concerns about data privacy and academic integrity raised ethical questions.

ChatGPT’s rise to popularity in 2023 brought with it significant discussions about education, specifically how students would use AI primarily as a tool for plagiarism. This study takes a different focus, considering how early adoption of AI has begun changing teacher labor, offering implications for the future of the teaching profession.

Over the past decade, policy researchers and advocates have called for the decentralization of teacher hiring decisions from district offices to school principals. The purpose of this paper is to document the trends across two and a half decades in principals’ reported influence over teacher hiring decisions in the USA and explore how and whether principal influence varies systematically across contexts.

Regression analysis with secondary data using seven waves of nationally representative data from the Schools and Staffing Survey.

Principals report increased influence over the 25 years that the data span. While principals of urban schools were much more likely to report having less influence over teacher hiring compared to their non-urban counterparts in the late 1980s and early 1990s, their reported influence increased more than that of other principals.

Empowering principals as primary decision-makers assumes that they have the best information on which to make hiring decisions. At the same time, other research suggests that local teacher labor market dynamics contribute to the inequitable sorting of teachers across schools. This study raises questions regarding the implications of the increased influence of principals in teacher hiring on equity of access to quality teachers across schools.

This is the first study to explore whether and how principal influence in teacher hiring decisions has changed over time.