Explaining the substantial inter-domain and over-time correlations in student achievement: the importance of stable student attributes

Multi-domain and longitudinal studies of student achievement routinely find moderate to strong correlations across achievement domains and even stronger within-domain correlations over time. The purpose of this study is to examine the sources of these patterns analysing student achievement in 5 domains across Years 3, 5 and 7. The analysis is of longitudinal population data of over 22,000 students and utilizes fixed-effects models to incorporate stable general and domain-specific latent factors. These latent factors correspond to a general cognitive-ability-like factor and specific aptitudes in particular, or types of, subject areas. The preferred model incorporates both general and domain-specific latent factors with stronger effects for the general factor, although the domain-specific factors are particularly strong for spelling and numeracy. When taking into account general and domain-specific latent factors, the effects of student’s socioeconomic status (SES) and school SES are trivial.     

Integrating Writing into the Early Childhood Curriculum: A Frame for Intentional and Meaningful Writing Experiences

Despite the importance of early writing development to children’s school success, research documents that early childhood teachers spend little time actively supporting children’s writing development in preschool classrooms. This article provides a framework for integrating writing experiences across the early childhood curriculum. Practical examples are given regarding how writing opportunities can be incorporated into existing activities and play settings. The metaphor of backgrounding and foregrounding writing experiences is used to illustrate ways that teachers can set writing rich environments and activities in a manner that makes it easier for teachers to bring these experiences into everyday learning opportunities. Attention is given to how teachers can bring writing to the foreground of the curriculum by drawing attention to writing materials, making natural connections with children’s interest and play, and scaffolding children’s early writing attempts and experiences.     

Sensing the realities of English middle-class education: James Bryce and the Schools Inquiry Commission, 1865–1868

This paper explores the contribution of James Bryce as an Assistant Commissioner to the Taunton Commission from 1965 to 1868. It highlights his criticisms of the English middle class and of middle-class education represented in the endowed grammar schools of Lancashire, England. These criticisms were based partly on finely detailed observation of the buildings of these schools in their local and geographical settings. They also drew on acutely developed responses of a sensory and emotive nature relating to a broad sensory register of sight, sound, taste, touch and smell. The paper therefore helps to develop the potential value of sensory history in the history of education well as to provide a detailed examination of middle-class education in England in the 1860s. It also suggests that the realism characteristic of mid-Victorian writing and art may help to shed further light on the nature and experience of schooling in this period.     

Do instant messaging interruptions help or hinder knowledge workers’ task performance?

The modern workplace environment is filled with interruptions due to the necessity of coworkers to communicate with each other. Studies have revealed that interruptions can impact task performance (TP). Communication interruptions are due, in part, to the unavoidable side-effect of using technology to facilitate these interactions. This experimental case study reports about an investigation we conducted on the role of instant messaging interruptions (IMI) and its implications on knowledge workers’ TP in a workplace environment. We have gathered data from knowledge workers engaged in an e-learning activity. The case study included a total of 60 experimental observations and analysis of the 120 records revealed that the time to complete a task (TPtct) for certain types of tasks, was significantly affected by IMI. This case study addressed gaps in IM interruption research and practical knowledge about the role of instant messages in the organization. Previous research has been conducted in a laboratory environment with interruptions generated by means other than actual IM. This case study used IMI with participants working in their normal workplace. Findings were used to provide a set of lessons learned recommendations for managers when it comes to the use of IM in the workplace.     

Dependency structure language model for topic detection and tracking

In this paper, we propose a new language model, namely, a dependency structure language model, for topic detection and tracking (TDT) to compensate for weakness of unigram and bigram language models. The dependency structure language model is based on the Chow expansion theory and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model on topic tracking and link detection in TDT. In both cases, the dependency structure language models perform better than strong baseline approaches.     

Measuring Socioeconomic Status at the School Level

Why is there an increased need for quantitative indicators of student socioeconomic status at the school level? What alternative approaches have been used to measure SES? Can principals accurately estimate the SES distribution of their student populations? How do their estimates correlate with other indexes o f family SES?     

Prediction of maximum oxygen consumption from walking, jogging, or running

The purpose of this study was to develop a submaximal, 1.5-mile endurance test for college-aged students using walking, jogging, or running exercise. College students (N = 101: 52 men, 47 women), ages 18-26years, successfully completed the 1.5-mile test twice, and a maximal graded exercise test. Participants were instructed to achieve a "somewhat hard" exercise intensity (rating of perceived exertion = 13) and maintain a steady pace throughout each 1.5-mile test. Multiple linear regression generated the following prediction equation: VO2 max = 65.404 + 7.707 x gender (1 = male; 0 =female) - 0.159 x body mass (kg) - 0.843 x elapsed exercise time (min; walking, jogging orrunning). This equation shows acceptable validity (R = .86, SEE = 3.37 ml x kg(-1) min(-1)) similar to the accuracy of comparable field tests, and reliability (ICC = .93) is also comparable to similar models. The statistical shrinkage is minimal (R(press) = 0.85, SEE(press) = 3.51 ml x kg(-) x min(-1)); hence, it should provide comparable results when applied to other similar samples. A regression model (R =.90, and SEE = 2.87 ml x kg(-1) min(-1)) including exercise heart rate was also developed: VO2 max = 100.162 +/- 7.301 x gender(1 = male; 0 =female) - 0.164 x body mass (kg) - 1.273 x elapsed exercise time -0.156 x exercise heart rate, for those who have access to electronic heart rate monitors. This submaximal 1.5-mile test accurately predicts maximal oxygen uptake (VO2max) without measuring heart rate and is similar to the 1.5-mile run in that it allowsfor mass testing and requires only a flat, measured distance and a stopwatch. Further, it can accommodate a wide range of fitness levels (from walkers to runners).