Researching the pupil voice: what makes a good teaching assistant?

This article reports on a small‐scale research project concerning the views of pupils on what comprises a good teaching assistant (TA). The study indicates that pupils clearly valued the support given to them by TAs. The pupils outlined the main personal and professional characteristics they wanted to see in, as well as the kinds of support they wanted from, a TA. The implications of these data for schools and for TAs themselves are briefly indicated.     

Using drawing in research with children: lessons from practice

Emerging from projects that have involved working with primary school children in school-related research, this article offers suggestions of how drawing as a principal means of data gathering can be either constructive or of little value. The qualitative research projects discussed include investigations of school improvement and consideration of school design, in which freehand drawing was used in different contexts with young people. In many cases, the value of the visual data was high, contributing strongly to the research aims. In some, however, the work contributed little meaningful data to address the research questions. The usefulness of data derived from drawings to the research was assessed by observing factors such as the materials and time available as well as teacher and peer influence. This article discusses those variables and proposes recommendations to improve the likelihood of obtaining quality visual data when working with children.     

Worldwide variation in the performance of children and adolescents: an analysis of 109 studies of the 20-m shuttle run test in 37 countries

This study is a meta-analysis of 109 reports of the performance of children and adolescents on the 20-m shuttle run test (20-mSRT). The studies were performed in 37 countries and included data on 418,026 children, tested between 1981 and 2003. Results were expressed as running speed (km x h(-1)) at the final completed stage of the 20-mSRT. Raw data were combined with pseudodata using Monte Carlo simulation. The 20-mSRT performances were expressed as z-scores relative to all children of the same age and sex from all countries. An overall "performance index" was derived for each country as the average of the age- and sex-specific z-scores for all children from that country. Factorial analysis of variance was used to compare scores among countries and regions, and between boys and girls of the same age. There was wide and significant (P < 0.0001) global variability in the performance of children. The best performing children were from the Northern European countries Estonia, Iceland, Lithuania, and Finland (0.6 - 0.9 standard deviations above the global average). The worst performing children were from Singapore, Brazil, USA, Italy, Portugal, and Greece (0.4 - 0.9 standard deviations below the global average). There is evidence that performance was negatively related to being overweight, as well as to a country's average temperature.     

Identifying engaging features of schooling: assessing the psychometric soundness of student-generated research

In this article we report on data analysed from a student project about attitudes to school and student perception of engagement and disengagement. The data were collected by students in an Australian study that employed the Young People as Researchers model. Middle year students devised and administered a questionnaire to students in grade 8, 9 and 10 at a secondary school in Australia. A total of 239 students completed the questionnaire. The students completed the initial analysis, which was followed by a more detailed analysis by the authors of this article. The findings support the work of American, British and Australian researchers about the factors that influence engagement and disengagement from schooling. The reported outcomes from the student work and the secondary analysis indicate that students do have the capacity to undertake valid and meaningful research and can make informed contributions to school improvement and student engagement.     

Project Clarion: Three Years of Science Instruction in Title I Schools among K-Third Grade Students

The purpose of the study was to measure the effects of higher level, inquiry-based science curricula on students at primary level in Title I schools. Approximately 3,300 K-3 students from six schools were assigned to experimental or control classes (N?=?115 total) on a random basis according to class. Experimental students were exposed to concept-based science curriculum that emphasized ??deep learning?? though concept mastery and investigation, whereas control classes learned science from traditional school-based curricula. Two ability measures, the Bracken Basic Concept Scale-Revised (BBCS-R, Bracken 1998) and the Naglieri Nonverbal Intelligence Test (NNAT, Naglieri 1991), were used for baseline information. Additionally, a standardized measure of student achievement in science (the MAT-8 science subtest), a standardized measure of critical thinking, and a measure for observing teachers?? classroom behaviors were used to assess learning outcomes. Results indicated that all ability groups of students benefited from the science inquiry-based approach to learning that emphasized science concepts, and that there was a positive achievement effect for low socio-economic young children who were exposed to such a curriculum.     

Imagination for re-engagement from the margins of education

For marginalised secondary school students, mainstream education may no longer appear to be an inviting place. While proposed solutions to problems of disengagement and marginalisation appear to concentrate on finding ways to coerce students back to mainstream education through, for example, ‘learning or earning’ legislation, this article suggests that more effective solutions may be found by engaging with the students in the margins that they occupy. Following discussion of key influences on student disengagement and a theory of imaginations, a ‘students-as-researchers’ (SaR) model of working with young people is discussed to demonstrate that, through the scaffolded application of active imagination, it is possible for such students to identify and create their own connections to the mainstream. The SaR model is illustrated through reference to groups of disaffected high school students who participated in an action research project to investigate apparent low aspiration for tertiary education among their peers at schools serving low-income communities in Queensland, Australia.     

Is three-dimensional anthropometric analysis as good as traditional anthropometric analysis in predicting junior rowing performance?

Abstract With the use of three-dimensional whole body scanning technology, this study compared the 'traditional' anthropometric model [one-dimensional (1D) measurements] to a 'new' model [1D, two-dimensional (2D), and three-dimensional (3D) measurements] to determine: (1) which model predicted more of the variance in self-reported best 2000-m ergometry rowing performance; and (2) what were the best anthropometric predictors of ergometry performance, for junior rowers competing at the 2007 and 2008 Australian Rowing Championships. Each rower (257 females, 16.3?±?1.4 years and 243 males, 16.6?±?1.5 years) completed a performance and demographic questionnaire, had their mass, standing and sitting height physically measured and were landmarked and scanned using the Vitus Smart? 3D whole body scanner. Absolute and proportional anthropometric measurements were extracted from the scan files. Partial least squares regression analysis, with anthropometric measurements and age as predictor variables and self-reported best 2000-m ergometer time as the response variable, was used to first compare the two models and then to determine the best performance predictors. The variance explained by each model was similar for both male [76.1% (new) vs. 73.5% (traditional)] and female [72.3% (new) vs. 68.6% (traditional)] rowers. Overall, absolute rather than proportional measurements, and 2D and 3D rather than 1D measurements, were the best predictors of rowing ergometry performance, with whole body volume and surface area, standing height, mass and leg length the strongest individual predictors.     

Test-retest reliability of jump execution variables using mechanography: a comparison of jump protocols

Mechanography during the vertical jump may enhance screening and determining mechanistic causes underlying physical performance changes. Utility of jump mechanography for evaluation is limited by scant test-retest reliability data on force-time variables. This study examined the test-retest reliability of eight jump execution variables assessed from mechanography. Thirty-two women (mean±SD: age 20.8 ± 1.3 yr) and 16 men (age 22.1 ± 1.9 yr) attended a familiarization session and two testing sessions, all one week apart. Participants performed two variations of the squat jump with squat depth self-selected and controlled using a goniometer to 80º knee flexion. Test-retest reliability was quantified as the systematic error (using effect size between jumps), random error (using coefficients of variation), and test-retest correlations (using intra-class correlation coefficients). Overall, jump execution variables demonstrated acceptable reliability, evidenced by small systematic errors (mean±95%CI: 0.2 ± 0.07), moderate random errors (mean±95%CI: 17.8 ± 3.7%), and very strong test-retest correlations (range: 0.73–0.97). Differences in random errors between controlled and self-selected protocols were negligible (mean±95%CI: 1.3 ± 2.3%). Jump execution variables demonstrated acceptable reliability, with no meaningful differences between the controlled and self-selected jump protocols. To simplify testing, a self-selected jump protocol can be used to assess force-time variables with negligible impact on measurement error.