Evaluating the impact of an academic teacher development program: practical realities of an evidence-based study

This study aimed to assess the impact of an entire academic teacher development programme at a Midwestern masters comprehensive university in the United States over a period of five years by examining changes in teaching and student outcomes of nine randomly selected programme participants. Researchers analysed syllabi, course evaluations, grade distributions, programme activity reports, interviews and vita, and concluded that the centre’s impact was greatest on tenure-track faculty who struggled with their teaching. Far more useful to future improvement, however, were the insights gained from reflection on study methods, the researchers’ emotional responses to their findings, their struggle to make sense of the data and grappling with the definition of ‘impact’. In this paper, the researchers share useful lessons learned and illustrate the difficulties inherent in evaluating academic development programmes, with a view to qualifying recommendations currently prevailing in the literature.     

Emotional labour,burnout and job satisfaction in UK teachers: the role of workplace social support

Although teaching has been described as a profoundly emotional activity, little is known about the emotional demands faced by teachers or how this impacts on their well-being. This study examined relationships between ‘emotional labour’, burnout (emotional exhaustion, depersonalisation and personal accomplishment) and job satisfaction in a sample of UK teachers. Also examined was whether workplace social support moderated any relationships found between emotional labour and strain. The relationship between job experience and emotional labour was also investigated. Six hundred and twenty-eight teachers working in secondary schools in the UK completed questionnaires. Significant associations were observed between emotional labour and all outcomes, with a positive relationship found between emotional labour and personal accomplishment. Some evidence was found that social support mitigates the negative impact of emotional demands on emotional exhaustion, feelings of personal accomplishment and job satisfaction. More experienced teachers reported higher levels of emotional labour. Findings highlight the need for teacher-training programmes to raise awareness of the emotional demands of teaching and consider ways to enhance emotion regulation skills in experienced as well as recently qualified staff.     

Early career challenges in secondary school music teaching

The article reports an Economic and Social Research Council‐funded study of the early career experiences of secondary school music teachers in England, set within a wider national picture of decreasing age‐related pupil engagement with school music, career perceptions of music teaching, variable patterns of teacher recruitment and possible mismatches between the musical biographies of young people and intending music teachers. Qualitative and quantitative data were collected from a short‐term longitudinal survey (first questionnaire: n = 74, second questionnaire: n = 29), supplemented by case studies (n = 6) and open‐ended, written questions (n = 20). Analyses suggest that only a half of the newly qualified participants chose to teach full‐time in a mainstream, state‐funded school music classroom. Of these, the majority were faced with a range of early career challenges stemming from curricular, extra‐curricular and non‐curricular school expectations. These included the need to balance their existing musical performer identity with that of being a new teacher.     

Novel model reference adaptive control laws for improved transient dynamics and guaranteed saturation constraints

In classical model reference adaptive control (MRAC), the adaptive rates must be tuned to meet multiple competing objectives. Large adaptive rates guarantee rapid convergence of the trajectory tracking error to zero. However, large adaptive rates may also induce saturation of the actuators and excessive overshoots of the closed-loop system’s trajectory tracking error. Conversely, low adaptive rates may produce unsatisfactory trajectory tracking performances. To overcome these limitations, in the classical MRAC framework, the adaptive rates must be tuned through an iterative process. Alternative approaches require to modify the plant’s reference model or the reference command input. This paper presents the first MRAC laws for nonlinear dynamical systems affected by matched and parametric uncertainties that constrain both the closed-loop system’s trajectory tracking error and the control input at all times within user-defined bounds, and enforce a user-defined rate of convergence on the trajectory tracking error. By applying the proposed MRAC laws, the adaptive rates can be set arbitrarily large and both the plant’s reference model and the reference command input can be chosen arbitrarily. The user-defined rate of convergence of the closed-loop plant’s trajectory is enforced by introducing a user-defined auxiliary reference model, which converges to the trajectory tracking error obtained by applying the classical MRAC laws before its transient dynamics has decayed, and steering the trajectory tracking error to the auxiliary reference model at a rate of convergence that is higher than the rate of convergence of the plant’s reference model. The ability of the proposed MRAC laws to prescribe the performance of the closed-loop system’s trajectory tracking error and control input is guaranteed by barrier Lyapunov functions. Numerical simulations illustrate both the applicability of our theoretical results and their effectiveness compared to other techniques such as prescribed performance control, which allows to constrain both the rate of convergence and the maximum overshoot on the trajectory tracking error of uncertain systems.