Comparison of methods for determining power generated on a rope-braked cycle ergometer during low-intensity exercise

This study compares the instrumentation and analysis techniques used when determining the power expended pedalling a rope-braked ergometer manufactured by Monark (Sweden) during a low intensity test. Power values were generated by eight subjects. The instrumentation consisted of load cells to measure the rope brake forces, a tachometer to measure the flywheel velocity and instrumented pedal cranks manufactured by Schoberer Rad Messtechnik (SRM). The subjects pedalled a rope-braked ergometer at 60 rev min^-1, against a resistance of 3 kg, for 5 minutes. Three different measurements of the mean power were recorded and these were compared with the value given by Monark. The SRM cranks provided two sets of results using different software packages supplied with the cranks. SRM standard software is used for taking measurements during training and cycle races over long time periods. An additional piece of software is provided by SRM called Ptnew, which gives readings of torque and pedal cadence over periods up to 30 seconds. Using the values supplied by Monark each subject generated 180 W of power. The mean power for the eight subjects, measured using the SRM cranks, was 170.36 W (SD 4.11) using the alternative SRM software (Ptnew) over a 30 second period and 173.68 W (SD 2.21) using the standard SRM software. From the direct measurement of the brake forces and flywheel velocity the mean power across the eight subjects was 148.90 W (SD 5.89). The SRM cranks measure the input power, whereas the direct measurement system measures the power output excluding mechanical losses. These values give a figure for the mechanical efficiency for the roped-braked ergometer of 88%. It was found that Monark overestimates the power generated by the subjects when compared with both the SRM systems and the direct measurement instrumentation.     

Predicting ground reaction forces in running using micro-sensors and neural networks

Measurement of ground reaction force (GRF) in running provides a direct indication of the loads to which the body is subjected at each foot-ground contact, and can provide an objective explanation for performance outcomes. Traditionally, the collection of three orthogonal component GRF data in running requires an athlete to complete a series of return loops along a laboratory based runway, within which a force platform is embedded, in order to collect data from a discrete footfall. The major disadvantages associated with this GRF data collection methodology include the inability to assess multiple consecutive foot contacts and the fact that measurements are typically confined to the laboratory. The objective of this research was to investigate the potential for wearable instrumentation to be employed, in conjunction with artificial neural network (ANN) and multiple linear regression (MLR) models, for the estimation of GRF in middle distance running. A modular wearable data acquisition system was developed to acquire in-shoe force (ISF) data. Matched data sets from wearable instrumentation (source data) and force plate (target data) records were collected from elite middle-distance runners under controlled laboratory conditions for the purposes of ANN and MLR model development (MD) and model validation (MV). In terms of statistical measures of prediction accuracy the MLR model was found to provide a superior level of accuracy for the prediction of the vertical and medio-lateral components of GRF and alternatively, the ANN model provided the most accurate predictions of the anterior-posterior component of GRF. The prediction accuracy of each component of GRF was found to be governed by the inherent signal variability, in which case the vertical and anterior-posterior components were more reliable and subsequently predicted significantly more accurately than the medio-lateral component. The emerging capability for obtaining continuous GRF records from wearable instrumentation has the potential to permit unprecedented quantification of training stress and competition demands in running.     

Managing change in the primary school: What we have learnt about the role of external support

Criteria for placement of pupils into bands and the subsequent effect of banding on educational and post‐educational careers were investigated in a longitudinal study of two cohorts of comprehensive school pupils. The abiding influence of social class and measured ability in early assignment of pupils to bands was observed, and a disjunction demonstrated between a banding system with the potential for flexibility and the reality of the situation where it was marked by ossification and early tracking of pupils to differential educational destinations. The notion of the school as an enduring conservative force is investigated, the banding system being both an outcome and a determinant of this conservatism. The data is used to raise methodological questions involved in investigating complex issues, and implications are drawn for teacher behaviour in banded comprehensive schools.     

The effect of music therapy services on classroom behaviours of newly arrived refugee students in Australia—a pilot study

This pilot study examined the effects of a short‐term music therapy program on the classroom behaviours of newly arrived refugee students who were attending an intensive ‘English as a Second Language’ secondary school. A cross‐over design with two five‐week intervention periods was employed with group music therapy sessions conducted one or two times per week. Data from the Behaviour Assessment Scale for Children were used to evaluate a range of positive and negative school behaviours. A significant decrease in externalising behaviours was found with particular reference to hyperactivity and aggression. No significant differences were found in other behaviours. Explanations and implications of these findings are discussed.     

Translanguaging: origins and development from school to street and beyond

The article traces the Welsh origins of “translanguaging” from the 1980s to the recent global use, analysing the development and extension of the term. It suggests that the growing popularity of the term relates to a change in the way bilingualism and multilingualism have ideologically developed not only among academics but also amid changing politics and public understandings about bilingualism. The original pedagogic advantages of a planned use of translanguaging in pedagogy and dual literacy are joined by an extended conceptualisation that perceives translanguaging as a spontaneous, everyday way of making meaning, shaping experiences, and communication by bilinguals. A new conceptualisation of translanguaging is in brain activity where learning is through 2 languages. A tripartite distinction is suggested between classroom translanguaging, universal translanguaging, and neurolinguistic translanguaging. The article concludes with a summary of recent research into translanguaging with suggestions for future research.     

Predicting Robust Learning With the Visual Form of the Moment-by-Moment Learning Curve

We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker, Goldstein, & Heffernan, 2010 Baker, R. S. J. d., Goldstein, A. B. and Heffernan, N. T. 2010. “Detecting the moment of learning”. In Proceedings of the 10th Annual Conference on Intelligent Tutoring Systems 25–34. In V. Aleven, J. Kay, & J. Mostow (Eds.),pp.Heidelberg, Germany: Springer.[Crossref] , [Google Scholar], 2011). Two coders labeled data from students who used an intelligent tutoring system for college genetics. They coded in terms of 7 forms that the moment-by-moment learning curve can take. These labels are correlated to test data on the robustness of students’ learning. We find that different visual forms are correlated with very different learning outcomes. This work suggests that analysis of moment-by-moment learning curves may be able to shed light on the implications of students’ different patterns of learning over time.     

Relationships Among Measures as Empirical Evidence of Validity: Incorporating Multiple Indicators of Achievement and School Context

In this article we examine empirical evidence on the criterion, predictive, transfer, and fairness aspects of validity of a large-scale language arts performance assessment, referred to as the Performance Assignment (PA). We use multilevel models to avoid biased inferences that might result from the naturally nested data. Specifically, we examine the relationships of the assessment with the Stanford Achievement Test, 9th Edition and the California High School Exit Examination. The results indicate that the measures are related, that students demonstrate a degree of transfer, and that the language arts PA is relatively more fair than comparison assessments. The results are robust to various model specifications and demonstrate that benefits do not accrue to all students equally.