Singh, S. V., & Hiran, K. K. (2022). The impact of AI on teaching and learning in higher education technology. Journal of Higher Education Theory and Practice, 22(13). https://doi.org/10.33423/jhetp.v22i13.5514
Umer, R., Susnjak, T., Mathrani, A., & Suriadi, L. (2023). Current stance on predictive analytics in higher education:England, like many other countries across the world, is facing a crisis in teacher retention and recruitment. Newly published projections from the National Foundation for Educational to Recruit the target australia consumer email list number of trainee teachers in all but three secondary subject areas for the 2024–25 academic year (McLean et al., 2024). As well as falling short of training targets, vacancies in schools are on the rise, putting more pressure on the remaining workforce. Teacher recruitment and retention difficulties are particularly acute in schools serving disadvantaged communities, where the turnover rates are higher (Allen et al., 2016; Ghosh & Worth, 2020) and applicants per job fewer, leading to a stressful scenario for headteachers filling their vacancies (Allen et al., 2016). High teacher turnover affects both teachers and students; studies have shown that teacher turnover disrupts pupil learning and could hamper attainment (Ronfeldt et al., 2012; Borg et al., 2012).
Research suggest that England will once again have failed
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