Phonological sensitivity and reading: evidence from precocious readers

This paper reports the results from a study investigating the level of phonological sensitivity, letter knowledge and reading ability of two groups of children between the ages of 5 and 7 years. One group of children were identified as being fluent readers at the age of 5 years, before they had begun school. These children were paired with a group of children of the same age and vocabulary development but who were not yet reading. The performance of the two groups of children on the tasks measuring phonological sensitivity confirmed the view of Stanovich (1986, 1992) that phonological sensitivity lies on a continuum from shallow to deep. Shallow levels of phonological sensitivity, tapped by rhyming tasks, seem to be necessary for reading to progress whereas deeper levels of sensitivity develop later and have a more reciprocal relationship to reading progress.     

Small Sample Properties of Bayesian Multivariate Autoregressive Time Series Models

The aim of this study was to compare the small sample (N = 1, 3, 5, 10, 15) performance of a Bayesian multivariate vector autoregressive (BVAR-SEM) time series model relative to frequentist power and parameter estimation bias. A multivariate autoregressive model was developed based on correlated autoregressive time series vectors of varying lengths (T = 25, 50, 75, 100, 125) using Statistical Analysis System (SAS) version 9.2. Autoregressive components for the 5 series vectors included coefficients of .80, .70, .65, .50 and .40. Error variance components included values of .20, .20, .10, .15, and .15, with cross-lagged coefficients of .10, .10, .15, .10, and .10. A Monte Carlo study revealed that in comparison to frequentist methods, the Bayesian approach provided increased sensitivity for hypothesis testing and detecting Type I error.     

In practice: Ball State University's faculty mentorship program: Enhancing the first‐year experience for students with disabilities

Students with disabilities at Ball State University have a unique mentorship opportunity—those who take advantage of it gain considerable benefits.     

The International Education Index: A global approach to education policy analysis,performance and sustainable development

Before the COVID-19 pandemic, the world struggled to address growing educational inequalities and fulfil the commitment to Sustainable Development Goal 4, which seeks to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. The pandemic has exacerbated these inequalities and changed how education functions, moving to online and hybrid methods. The challenges in global education highlighted and worsened by the pandemic make it necessary to re-evaluate education systems and the policies in place to support access, quality and equal opportunity. This article focuses on analysing education policies at a national level. It tests a pilot policy analysis tool, the International Education Index (IEI), developed as a starting point to begin this reconsideration and create an accessible and comprehensive way to evaluate national education systems to inform decision-making and policies in the new context. This research uses Ireland and Northern Ireland to test the IEI pilot tool. The IEI consists of 54 questions across nine indicators, including institutional frameworks, education strategies, digital skills and infrastructure, twenty-first century skills, access to basic social services, adherence to international standards, legal frameworks, data gathering and availability and international partnerships. Countries can score 108 points to be categorised as having developed, emerging or nascent national education systems. Ireland scored 94 and Northern Ireland 81, indicating that they have developed national education systems.     

In a daily time–place learning task,time is only used as a discriminative stimulus if each daily session is associated with a distinct spatial location

It is difficult for rats to acquire daily time–place (TP) learning tasks. One theory suggests that rats do not use time of day as a stimulus signaling a specific response. In the present study, we tested rats’ ability to use time of day as a discriminative stimulus. A fixed-interval procedure was used in which one lever provided reinforcement on a FI-5-s schedule in morning sessions, and the same lever provided reinforcement on a FI-30-s schedule in afternoon sessions. Because only one place was used in this paradigm, the rats could only use time of day to acquire the task. Mean responses during the first 5 s of the first trial in each session indicated that the rats did not discriminate between the two sessions. In Phase II, a different lever location was used for each of the two daily sessions, which meant that both spatial and temporal information could be used to acquire the task. The rats readily acquired the task in this phase, and probe trials indicated that the rats were using a combination of spatial and temporal information to discriminate between the two different trial types. When the spatial cue was removed in Phase III, rats no longer discriminated the two sessions, suggesting that time can only be used as a discriminative stimulus when each daily session is associated with a distinct spatial location.