This Campbell systematic review examines the current empirical evidence on the correlation between teacher qualifications and the quality of the early childhood learning environments. The review summarises findings from 48 studies with 82 independent samples. Studies included children from pre‐kindergarten and kindergarteners prior to elementary/primary school and centre‐based providers. The review shows a positive statistically significant association between teacher qualification and the quality of early childhood learning environment. This finding is not dependent on culture and context given that the evidence is from several countries. Mandating qualified teachers, i.e. with tertiary education, may lead to significant improvement for both process and structural quality within centre‐based and home‐based ECEC settings. However, the evidence is from correlational studies, so evidence is needed from studies with designs which can assess causal effects. Further research should also assess what specific knowledge and skills learnt by teachers with higher qualifications enable them to complete their roles effectively. Synopsis/plain language summary Higher teacher qualifications are associated with higher quality early childhood education and careThis review examines the empirical evidence on the relationship between teacher qualifications and the quality of the early childhood learning environment. Higher teacher qualifications are significantly positively correlated with higher quality in early childhood education and care. What did the review study?Poor quality early childhood education and care (ECEC) can be detrimental to the development of children as it could lead to poor social, emotional, educational, health, economic and behavioural outcomes.The lack of consensus as to the strength of the relationship between teacher qualification and the quality of the early childhood learning environment has made it difficult for policy makers and educational practitioners alike to settle on strategies that would enhance the learning outcomes for children in their early stages of education.This review examines the current empirical evidence on the correlation between teacher qualifications and the quality of early childhood learning environments. What studies are included?Included studies must have examined the relationship between teacher qualification and quality of the ECEC environment from 1980 to 2014, as well as permit the identification of the education program received by the lead teacher and provide a comparison between two or more groups of teachers with different educational qualifications.Furthermore, the studies had to have comparative designs and report either an overall quality scale or an environment rating scale.A total of 48 studies conducted with 82 independent samples were included in the review. What are the main results in this review?Overall, the results show that higher teacher qualifications are significantly correlated with higher quality early childhood education and care.The education level o...

Poor-quality early childhood education and care (ECEC) can be detrimental to the development of children, as it may lead to poor social, emotional, educational, health, economic, and behavioral outcomes. A lack of consensus, however, regarding the strength of the relationship between teacher qualification and the quality of the ECEC environment makes it difficult to identify strategies that could enhance developmental and educational outcomes. This meta-analytic review examines evidence on the correlation between teacher qualifications and the quality of ECEC environments. Results show that higher teacher qualifications are significantly correlated with higher quality ECEC environments. Specifically, the education level of teachers or caregivers is positively correlated to overall ECEC qualities, as well as subscale ratings including program structure, language, and reasoning.

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The Internet of Things (IoT) brings internet connectivity to everyday electronic devices (e.g. security cameras and smart TVs) to improve their functionality and efficiency. However, serious security and privacy concerns have been raised about the IoT which impact upon consumer trust and purchasing. Moreover, devices vary considerably in terms of the security they provide, and it is difficult for consumers to differentiate between more and less secure devices. One proposal to address this is for devices to carry a security label to help consumers navigate the market and know which devices to trust, and to encourage manufacturers to improve security. Using a discrete choice experiment, we estimate the potential impact of such labels on participant's purchase decision making, along with device functionality and price. With the exception of a label that implied weak security, participants were significantly more likely to select a device that carried a label than one that did not. While they were generally willing to pay the most for premium functionality, for two of the labels tested, they were prepared to pay the same for security and functionality. Qualitative responses suggested that participants would use a label to inform purchasing decisions, and that the labels did not generate a false sense of security. Our findings suggest that the use of a security label represents a policy option that could influence behaviour and that should be seriously considered.

Background: This paper explores the feasibility of delivering a music festival based drug checking service in Australia, evaluating service design and stakeholder acceptability. Methods: Questionnaire and interview data were collected from adult service users and key stakeholders. A mixed methods approach was used to analyse the data on implementation, impact and acceptability. Results: The trial service tested 170 substances with more than 230 patrons. Adult service users had an average age of 21 years. Among adult patrons who participated in the pre- and post-drug checking questionnaires, 88 per cent of the test results were the drug expected. Evaluation results show that the experience of testing and the accompanying harm reduction brief interventions positively impacted on patrons' self-reported drug harm reduction knowledge, trust of health providers and stated drug use intentions. The service was received positively by service users.Conclusion: This is the first independent evaluation of a pilot drug checking service in Australia. Consideration of operational feasibility and self-reported behavioural change suggests that the program was successful, although communication about the interpretation of drug checking results could be improved. Future studies should develop strategies for follow-up and consider the applicability of behavioural change theory.

Background The Manning Cost–Benefit Tool (MCBT) was developed to assist criminal justice policymakers, policing organisations and crime prevention practitioners to assess the benefits of different interventions for reducing crime and to select those strategies that represent the greatest economic return on investment. Discussion A challenge with the MCBT and other cost–benefit tools is that users need to input, manually, a considerable amount of point-in-time data, a process that is time consuming, relies on subjective expert opinion, and introduces the potential for data-input error. In this paper, we present and discuss a conceptual model for a ‘smart’ MCBT that utilises machine learning techniques. Summary We argue that the Smart MCBT outlined in this paper will overcome the shortcomings of existing cost–benefit tools. It does this by reintegrating individual cost–benefit analysis (CBA) projects using a database system that securely stores and de-identifies project data, and redeploys it using a range of machine learning and data science techniques. In addition, the question of what works is respecified by the Smart MCBT tool as a data science pipeline, which serves to enhance CBA and reconfigure the policy making process in the paradigm of open data and data analytics.

This study examines the public discourse on financial fraud against older citizens in Chinese society using six focus groups with 45 stakeholders comprising social workers, police officers, caregivers, nurses, community representatives, and insurance and banking personnel. This study uses qualitative data to describe the patterns and social features that facilitate this specific type of crime in Hong Kong. The narratives of the community stakeholders reveal several specific social features of Hong Kong that contribute to financial fraud against older persons, such as traditional Chinese values and ideologies, increasing cross-border activities, the Internet and technological advancements, and unfavourable economic situations. The results of this study support the assumptions of the routine activity approach and have a number of theoretical and practical implications.