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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.

The purpose of this paper is to provide a review of contemporary perspectives, policies, and practices relating to reported vocational education and training (VET) teacher recruitment and retention challenges, with a particular focus on England and Australia.

This position piece discusses the topic from a transnational perspective by reviewing the relevant literature and examining the impact of policies and practices in England and Australia.

The paper finds that there is a paucity of empirical research relating to VET teacher shortages, but that globally, experience in the sector suggests there are challenges in recruiting and retaining the qualified VET teaching workforce required to address current and future training needs. It recommends that further research is undertaken with an international approach to better understand the problem from the perspective of VET teachers, leaders, and education institutions, and to identify potential solutions.

The paper does not report on empirical research but suggests that further studies are required to better understand the problem and identify potential solutions based on the respective socioeconomic, demographic, and policy contexts.

While there are studies examining VET and VET teaching from the perspectives of quality, reputation, and esteem, few examine the issue and impact of VET teacher shortages, or the challenges of VET teacher recruitment and retention in the contemporary and comparable contexts of Australia and England.

Purpose: This study aims to evaluate, explore, and characterise the perceptions of the Indian private sector employers on the 21st century 4Cs (critical thinking, communication, creativity, and collaboration) skills gap, which affects their productivity.

Need for Study: This research aims to shed light on the significant issue of the soft skills gap, precisely the 4Cs skills in India. Soft skills, including the 4Cs, are complex and crucial for organisations, and the shortage of these skills among the workforce is a growing concern. This research addresses enterprises’ challenges in bridging this gap by exploring different ways to utilise these skills.

Methodology: Fifty-six respondents were interviewed based on cluster sampling. An invitation was sent to 40 private sector organisations from five different industries. Only 15 organisations agreed to participate in the interview process.

Findings: A total of seven were generated from the data, which included: (1) explicit and timely feedback; (2) compassion and understanding; (3) motivation deficiency; (4) lack of collaboration synergies; (5) lack of practical knowledge; (6) interpersonal skills; and (7) creating team culture.

Implication: Given the prevalent skills gap, it is challenging for Indian industries and organisations to remain competitive in the global market. Investing in the education system, providing students with the necessary academic and vocational skills, and equipping them with soft skills, such as the 21st century 4Cs skills is essential to address this issue. Investment is necessary to prepare the workforce to meet the demands of emerging businesses and technologies, ensuring that industries and organisations remain competitive.

Graphical abstract

While much of the literature testing for shirking by professional athletes have used performance metrics, some works have quantified shirking in dollar terms by comparing salary to estimated marginal revenue product (MRP). However, Ordinary Least Squares (OLS) approaches to measuring shirking by comparing salary to MRP have an endogeneity problem, as salary and contract length are determined simultaneously. We test for shirking in Major League Baseball (MLB) using an MRP approach, addressing this potential endogeneity.

This paper uses instrumental variables regression to address potential endogeneity using MLB season-level player and team data from 2010 to 2017.

Using OLS regression, the impact of an additional year of guaranteed contract on shirking is estimated at approximately $1m in 2010 US dollars, and the impact of having a long-term contract is estimated at $5m, estimates comparable to those in the literature. Using instrumental variables regression, these impacts increase to $1.6m and over $9m in 2010 dollars.

Given large, causal shirking estimates, profit maximizing sports organizations should take caution when negotiating long-term contracts. These findings also have important implications for other labor market settings where workers feel job security.

To our knowledge, this is the first work testing for shirking in sports using an MRP approach which uses instrumental variables regression to address potential endogeneity.

This study aims to supplement the international knowledge on factors determining retention in the teaching profession with findings from the Czech Republic. The study aims to answer the question of what factors on the part of schools and teachers are related to teachers’ decision to leave the teaching profession, either temporarily or permanently. It also examines the differences between teachers at the beginning and end of their professional careers.

This study presents a secondary analysis of the data collected in a survey of 1,230 Czech secondary school teachers implemented in 2021 in the same schools as the TALIS survey in 2018. The longitudinal design makes it possible to observe the impact of school variables on teachers’ willingness to remain in the profession. Data are analysed through logistic regression.

The analysis shows the importance of sufficient financial evaluation, the composition of the student body, instructional leadership, and school innovativeness for the retention of teachers in the profession. The analysis further shows that the factors causing teachers to leave the profession differ for those at the beginning and at the end of their teaching careers.

The limitations of the study lie in the fact that this is a secondary analysis. The questionnaires were not designed in accordance with the aim of our study, and so the variables were constructed from existing data to best fit our chosen framework.

The results of our analysis indicate that the Czech education policy should focus not only on general increases in teachers’ salaries, but also on the adjustment of increases over the course of a teacher’s career. The starting salary may be important for retaining young teachers in the profession, while at later stages in their careers their decision to stay may be more influenced by other factors. Our research also showed the importance of leadership. In schools where the principal supports his or her teachers and takes care of their professional development, teachers have a greater tendency to stay in the profession than in schools where the management does not perform this function.

The study enriched international knowledge about factors affecting teachers' retention in the profession with findings from the Czech educational system characterized by high school autonomy and low teacher salaries.

There is some evidence to suggest that the historical challenge associated with recruiting and retaining Black and Brown Science, Technology, Engineering and Math (STEM) collegians is tied to early their teaching and learning experiences in Mathematics. This paper describes an National Science Foundation (NSF) funded project (NSF #2151043) whose goal is to attract, prepare and retain math teachers of color in high need school districts ensure that those teachers remain in the field long enough to make a meaningful impact on the minds and hearts of BIPOC students who are often, extrinsically, and intrinsically, discouraged from pursuing careers in STEM professions.

This mixed-methods study, which began in the summer of 2023, seeks to recruit, prepare, support and retain nineteen (19) Black and Brown math teachers for two (2) high need urban school districts. The expectancy value theory will be used to explain the performance, persistence, and choices of the teachers, while grounded theory will be utilized to understand the impact of the intensive mentorship and wellness coaching that applied over the first year of their preservice preparation and subsequent in-service years.

Measures of project efficacy won’t begin until 2025 and as such there are no findings or implications to draw from for the study at this time.

The intention of this paper is to augment the body of knowledge on recruiting and retaining Black and Brown math teachers for urban schools where the need for quality STEM teachers is critical.