Impact of North Carolina's Early Childhood Programs and Policies on Educational Outcomes in Elementary School

North Carolina's Smart Start and More at Four (MAF) early childhood programs were evaluated through the end of elementary school (age 11) by estimating the impact of state funding allocations to programs in each of 100 counties across 13 consecutive years on outcomes for all children in each county‐year group (n = 1,004,571; 49% female; 61% non‐Latinx White, 30% African American, 4% Latinx, 5% other). Student‐level regression models with county and year fixed effects indicated significant positive impacts of each program on reading and math test scores and reductions in special education and grade retention in each grade. Effect sizes grew or held steady across years. Positive effects held for both high‐ and low‐poverty families, suggesting spillover of effects to nonparticipating peers.     

Multi-level determinants of retention in a home-visiting child abuse prevention program

OBJECTIVE: This exploratory study investigated how attributes from multiple domains influence retention in a voluntary home-visiting child abuse prevention program. METHOD: A sample of 1093 "at-risk" families participated in a home-visiting child abuse prevention program. A total of 71 Family Support Workers (FSWs) provided home visitation services in 12 different communities. Hierarchical general linear modeling (HGLM) was used to examine the community, home visitor, and maternal attributes that predicted retention in the program beyond 1 year. RESULTS: Multi-level analyses (HGLM) revealed significant community, home visitor, and maternal level effects. Families were less likely to remain in a home-visiting child abuse prevention program for at least 1 year if they lived in an area with high community violence. Families were more likely to remain when the home visitor received more hours of direct supervision. Older mothers were more likely to remain for at least 1 year than were younger mothers. Hispanic mothers were more likely to remain than were White non-Hispanic mothers. CONCLUSIONS: These findings demonstrate the utility of looking across multiple levels of influence when examining retention in home-visiting child abuse prevention programs. To increase retention rates home visitors will need to be adaptable to fit the needs of families in violent communities. Supervisors can influence retention rates by providing more hours of direct supervision. Other strategies that may contribute to program retention include meeting the scheduling needs of younger mothers and involving the families of younger mothers more effectively.     

Overshadowing and blocking between landmark learning and shape learning: the importance of sex differences

Rats were trained in a triangular-shaped pool to find a hidden platform that maintained a constant relationship with two sources of information, an individual landmark and one part of the pool with a distinctive shape. In Experiment 1, shape learning overshadowed landmark learning but landmark learning did not overshadow shape learning in males, while landmark learning overshadowed shape learning but shape learning did not overshadow landmark learning in females. In Experiment 2, rats were pretrained either with the single landmark relevant or with the shape relevant, in the absence of the alternative cue. Final test trials, without the platform, revealed reciprocal blocking only in females; in males, shape learning blocked landmark learning, but not viceversa (Experiment 2a). In Experiment 2b, male rats received a longer pretraining with the single landmark relevant, and now landmark learning blocked shape learning. The results thus confirm the claim that males and females partially use different types of spatial information when solving spatial tasks. These results also agree with the suggestion that shape learning interacts with landmark learning in much the same way as does learning about any pair of stimuli in a Pavlovian conditioning experiment.     

Understanding school mobility and mobile pupils in England

A significant proportion of pupils move school during their school career for reasons other than standard structural moves between educational stages. Little is known about the underlying causes of these moves and the characteristics and experiences of mobile pupils are challenging to research. There is currently a large disconnect between the macro level of system structures, data and policy and the individual experiences and journeys of mobile pupils. This article brings together international literature around school mobility and mobile pupils, with analyses of the English National Pupil Database (NPD), tracking a cohort from age 5 to 16, to better understand when school moves occur and the characteristics of mobile pupils. Findings reveal a sizable underlying rate of moves in England of about 1.5–2% per term and identify differences in mobility related to disadvantage, school phase, ethnic group and SEND status. The predictive power of the data, however, is low, highlighting the need for more research, policy and practice in this area to better understand individual mobility circumstances. By bringing together the literature and the data, the article concludes with a discussion of what is known about school mobility and recommends further areas for research into the characteristics, experiences and outcomes of mobile school pupils.     

Artificial intelligence behind the scenes: PubMed's Best Match algorithm

This article focuses on PubMed''s Best Match sorting algorithm, presenting a simplified explanation of how it operates and highlighting how artificial intelligence affects search results in ways that are not seen by users. We further discuss user search behaviors and the ethical implications of algorithms, specifically for health care practitioners. PubMed recently began using artificial intelligence to improve the sorting of search results using a Best Match option. In 2020, PubMed deployed this algorithm as the default search method, necessitating serious discussion around the ethics of this and similar algorithms, as users do not always know when an algorithm uses artificial intelligence, what artificial intelligence is, and how it may impact their everyday tasks. These implications resonate strongly in health care, in which the speed and relevancy of search results is crucial but does not negate the importance of a lack of bias in how those search results are selected or presented to the user. As a health care provider will not often venture past the first few results in search of a clinical decision, will Best Match help them find the answers they need more quickly? Or will the algorithm bias their results, leading to the potential suppression of more recent or relevant results?     

Reforming governance through policy instruments: how and to what extent standards,tests and accountability in education spread worldwide

ABSTRACT

In the last decades, most countries have adopted data-intensive policy instruments aimed at modernizing the governance of education systems, and strengthening their competitiveness. Instruments such as national large-scale assessments and test-based accountabilities have disseminated widely, to the point that they are being enacted in countries with very different administrative traditions and levels of economic development. Nonetheless, comparative research on the trajectories that governance instruments follow in different institutional and socio-economic contexts is still scarce. On the basis of a systematic literature review (n?=?158), this paper enquires into the scope and modalities of educational governance change that national large-scale assessments and test-based accountability instruments have triggered in a broad range of institutional settings. The paper shows that, internationally, educational governance reforms advance through path-dependent and contingent processes of policy instrumentation that are markedly conditioned by prevailing politico-administrative regimes. The paper also reflects on the additive and evolving nature of educational governance reforms.